Professor at L.N. Gumilyov Eurasian National University, Kazakhstan

Dr. Syzdykbayeva Bakyt is a distinguished scholar and Professor of Economics at L.N. Gumilyov Eurasian National University, holding a Doctorate in Economic Sciences. With a background in industrial engineering, her research focuses on the economics and management of service industries, particularly in transport, logistics, marketing, tourism, and consumer services. She has led multiple government-funded research projects on logistics, economic development, and supply chain management in Kazakhstan, particularly in the context of the Silk Road Economic Belt. Dr. Syzdykbayeva has a prolific publication record, authoring numerous books, monographs, and research articles, including publications in Scopus-indexed journals. As a Professor and former Head of the “Tourism” Department, she has played a key role in academia, serving on expert councils, dissertation committees, and contributing to policy development. Her accolades include the prestigious Best University Researcher Award and the Gold Medal for academic achievements. Given her extensive research contributions, leadership roles, and academic impact, she is highly suitable for the Best Researcher Award.

Professional Profile

Education

Dr. Syzdykbayeva Bakyt has an extensive academic background in economics and industrial engineering. She earned her Doctorate in Economic Sciences, solidifying her expertise in economic development, logistics, and service industry management. Her education includes specialized training in transport economics, logistics, tourism, and consumer services, shaping her research focus on optimizing supply chains and economic strategies in Kazakhstan. Over the years, she has continuously expanded her academic knowledge through various professional development programs, research collaborations, and participation in international economic forums. As a professor at L.N. Gumilyov Eurasian National University, she has not only contributed to academic research but also played a pivotal role in curriculum development and student mentorship. Her academic achievements have been recognized through prestigious awards, and she remains actively engaged in advancing economic education through her leadership roles in expert councils and dissertation committees. Her educational foundation has been instrumental in her success as a leading economist and researcher.

Professional Experience

Dr. Syzdykbayeva Bakyt has a distinguished professional career in economics, logistics, and industrial engineering. She currently serves as a professor at L.N. Gumilyov Eurasian National University, where she contributes to academic research, curriculum development, and student mentorship. With extensive experience in economic development, transport logistics, and service industry management, she has played a key role in shaping Kazakhstan’s economic policies. Her career includes leadership positions in expert councils, dissertation committees, and research institutions, reflecting her expertise in strategic economic planning and supply chain optimization. She has actively participated in international forums, collaborating with industry experts to advance economic theories and practices. Additionally, she has received numerous awards recognizing her contributions to academia and economic research. Her work extends beyond teaching, as she has been instrumental in developing innovative methodologies for improving logistics efficiency and economic sustainability. Through her leadership and research, she continues to influence economic policies and industrial development.

Research Interest

Dr. Syzdykbayeva Bakyt’s research interests span a wide range of topics within economics, logistics, and industrial engineering. She focuses on optimizing transport logistics, supply chain management, and economic sustainability, with a particular emphasis on improving Kazakhstan’s industrial and service sectors. Her work explores the integration of digital technologies in logistics, enhancing efficiency in transportation networks, and developing innovative strategies for economic growth. She is also interested in the impact of globalization on regional economies and the role of government policies in fostering sustainable industrial development. Additionally, her research delves into strategic management approaches for businesses, aiming to enhance competitiveness in international markets. By collaborating with industry leaders and academic institutions, she contributes to policy-making and economic reforms. Her extensive studies and publications have provided valuable insights into economic efficiency, resource management, and logistics optimization, making her a key figure in advancing modern economic and industrial strategies.

Award and Honor

Dr. Syzdykbayeva Bakyt has received numerous awards and honors in recognition of her contributions to economics, logistics, and industrial development. She has been acknowledged for her outstanding research on transport logistics and supply chain management, earning prestigious academic and industry accolades. Her work in optimizing Kazakhstan’s industrial and service sectors has led to multiple national and international awards for innovation and economic impact. She has been honored by leading institutions for her contributions to policy-making and sustainable economic growth. Dr. Bakyt has also received recognition for her academic excellence, including awards for high-impact publications and conference presentations. Her dedication to advancing economic strategies and digital integration in logistics has earned her prestigious fellowships and memberships in distinguished professional organizations. Through her contributions to research, education, and industrial development, Dr. Syzdykbayeva Bakyt continues to be celebrated as a leading expert in her field, influencing both academic and economic landscapes.

Research Skill

Dr. Syzdykbayeva Bakyt possesses advanced research skills in economics, logistics, and industrial development, with a strong focus on transport logistics, supply chain management, and digital transformation in economic sectors. She is highly proficient in data analysis, economic modeling, and statistical forecasting, enabling her to conduct in-depth studies on market trends and industrial optimization. Her expertise extends to qualitative and quantitative research methodologies, allowing her to develop innovative solutions for improving efficiency in logistics and transportation. Dr. Bakyt is skilled in utilizing cutting-edge software tools for economic simulations, policy analysis, and industrial planning. She has extensive experience in academic writing, publishing high-impact research in renowned journals, and presenting findings at international conferences. Her ability to integrate theoretical knowledge with practical applications has contributed significantly to economic development strategies. Through interdisciplinary collaboration and data-driven decision-making, she continues to shape advancements in industrial economics and sustainable logistics management.

Conclusion

Professor Syzdykbayeva Bakyt Uzakbayevna is a highly accomplished academic and researcher in Economics, Econometrics, and Finance, with an extensive background in tourism, logistics, and supply chain management. Her strong research output, grant-funded projects, leadership in academic councils, and significant contributions to Kazakhstan’s economic and tourism sectors make her a strong candidate for the Best Researcher Award.

Publications Top Noted

Title: Research Note: Evaluation and Projection of Economic Indicators of Tourism Development in Kazakhstan
Authors: B. Syzdykbayeva, Z. Raimbekov, D. Khydyrbekuly, M. Temirbulatova, …
Year: 2015
Citations: 13
Title: Оценка эффективности развития транспортно-логистического потенциала регионов Казахстана
Authors: Б. Сыздыкбаева, Ж. Раимбеков, Б. Жуматаева
Year: 2015
Citations: 13
Title: Транспортно-логистическая система Казахстана: механизмы формирования и развития. Монография
Authors: Б.У. Сыздыкбаева, Ж.С. Раимбеков
Year: 2015
Citations: 11
Title: Методология формирования и развития интегрированной транспортно-логистической системы Казахстана
Authors: Б.У. Сыздыкбаева
Year: 2010
Citations: Not provided
Оценка эффективности развития транспортно-логистического потенциала регионов Казахстана
Authors: Б. Сыздыкбаева, Ж. Раимбеков, Д. А. Сейдуалин
Year: 2012
Citation: 8
Title: Роль государства в развитии и регулировании логистических процессов
Authors: Ж.С. Раимбеков, Б.У. Сыздыкбаева, Е. Амирбекулы
Year: 2017
Citations: 6
Title: Организация-Грузовых перевозок в системе городской логистики товародвижения: зарубежный опыт
Authors: Б.У. Сыздыкбаева, Ж.С. Раимбеков, Д.А. Сейдуалин
Year: 2017
Citations: 6
Title: Ways of Economic Indicators Evaluation and Projection of Tourism Development in Kazakhstan
Authors: B. Syzdykbayeva, Z. Raimbekov, D. Khydyrbekuly, M. Temirbulatova, …
Year: 2015
Citations: 13
Title: Методические основы формирования и развития единой транспортно-логистической системы Казахстана
Authors: Б.У. Сыздыкбаева, Ж.С. Раимбеков
Year: 2010
Citations: 5
Title: Экономическая эффективность и состав логистической инфраструктуры Казахстана
Authors: Ж.С. Раимбеков, Б.У. Сыздыкбаева, Б.А. Жуматаева, К.Н. Тастанбекова
Year: 2014
Citations: 5
Title: Методы оценки эффективности транспортно-логистической инфраструктуры
Authors: Б.У. Сыздыкбаева
Year: 2014
Citation: 5

Jyoti Katyal | Physics and Astronomy | Best Researcher Award

Posted on 04/03/202504/03/2025 by ScienceFather

Dr. Jyoti Katyal | Physics and Astronomy | Best Researcher Award

Assistant Professor atAmity Institute of Applied Science, Amity University, Noida, India

Dr. Jyoti Katyal, an Assistant Professor at Amity University, Noida, holds a PhD from the prestigious Indian Institute of Technology (IIT) Delhi, with expertise in plasmonic nanostructures and their applications in biosensors and SERS substrates. With over a decade of research experience, her work focuses on computational modeling and optimization of metallic nanostructures across the deep-UV to NIR spectrum, aiming to enhance refractive index sensitivity and field enhancement properties. She has an impressive publication record with numerous Scopus-indexed research papers, book chapters, and conference presentations. Dr. Katyal has also received several recognitions, including the International Best Researcher Award (ISSN-2022) and Best Paper Award at ICADMA 2020. Besides her research contributions, she actively participates in academic administration, quality assurance, and mentoring students. Her dedication to advancing plasmonics research and her involvement in organizing scientific events make her a strong candidate for the Best Researcher Award.

Professional Profile

Education

Dr. Jyoti Katyal has a strong academic background rooted in prestigious institutions and multidisciplinary research. She earned her PhD from the renowned Indian Institute of Technology (IIT) Delhi, specializing in plasmonic nanostructures and their applications in biosensors and Surface-Enhanced Raman Spectroscopy (SERS). Her doctoral research combined computational modeling and experimental techniques to design and optimize metallic nanostructures across various spectral ranges, from deep-UV to near-infrared (NIR). Prior to her PhD, she completed her Master’s and Bachelor’s degrees with a focus on physics and nanotechnology, equipping her with a solid foundation in material science, optics, and sensor development. Throughout her educational journey, Dr. Katyal developed expertise in advanced computational tools, numerical simulation techniques, and analytical characterization methods. Her academic training, enriched by research fellowships and collaborative projects, has laid a strong foundation for her contributions to academia, scientific innovation, and mentoring the next generation of researchers.

Professional Experience

Dr. Jyoti Katyal has built a diverse and impactful professional career, combining academic excellence with innovative research and collaborative projects. Currently, she serves as an Assistant Professor at Netaji Subhas University of Technology (NSUT), Delhi, where she mentors students and leads cutting-edge research in nanotechnology, plasmonics, and sensor development. Her professional journey includes extensive post-doctoral research experience at prestigious institutions, where she worked on interdisciplinary projects involving biosensors, nanomaterials, and advanced computational modeling. Dr. Katyal has also collaborated with leading national and international researchers, contributing to high-impact publications in reputed journals. Her expertise spans both theoretical and experimental research, allowing her to bridge the gap between computational design and real-world applications. In addition to her research, Dr. Katyal actively participates in academic committees, curriculum development, and research grant proposals, making significant contributions to the advancement of scientific knowledge and fostering innovation-driven education in the field of nanotechnology and materials science.

Research Interest

Dr. Jyoti Katyal is primarily interested in plasmonic nanostructures and their applications, with a focus on designing and optimizing metallic nanostructures for biosensing, plasmonic sensors, and SERS substrates. Her research explores computational modeling techniques using advanced simulation tools such as Lumerical’s FDTD software to analyze plasmonic responses across the deep-UV, visible, and near-infrared spectra. She investigates how variations in size, shape, and material composition influence localized surface plasmon resonances, field enhancement, and refractive index sensitivity. By developing novel nanostructured configurations, Dr. Katyal aims to enhance sensing performance and broaden spectral applicability. Her work also extends to optimizing plasmonic multilayered systems and exploring hetero-dimer or -trimer structures, with a keen focus on achieving high figures of merit for biosensing applications. This interdisciplinary research bridges materials science, optics, and nanotechnology, contributing significantly to advanced sensor design and functional nanomaterials. Continuously pushing boundaries, her innovative work promises next-generation diagnostic tools and breakthrough applications.

Awards and Honors

Dr. Jyoti Katyal has been recognized with several prestigious awards and honors that underscore her significant contributions to research and academia. Notably, she received the International Best Researcher Award from the International Society for Scientific Network Awards in 2022 for her work on the theoretical study of Magnetic-Plasmonic Fe-Al core-shell nanostructures for sensing applications. Additionally, she was honored with the Best Paper Award at the International Conference on Advances in Materials Processing & Manufacturing Applications (ICADMA 2020) for her research on localized surface plasmon resonance and field enhancement in metallic nanostructures. Her expertise and innovative work have earned her invitations as a jury member for research evaluations at IIT Delhi Open House 2024 and as an invited speaker at high-profile conferences such as ICRTMD-2023. Further, her active role as a reviewer and editorial board member for renowned journals reflects her esteemed position in the scientific community. Her work remains impactful.

Research Skills

Dr. Jyoti Katyal exhibits exceptional research skills underpinned by a robust foundation in theoretical and experimental methodologies. Her expertise encompasses advanced computational modeling techniques and the proficient use of simulation tools, such as Lumerical’s FDTD software, to analyze and optimize plasmonic nanostructures. Through meticulous design and systematic investigation, she explores size, shape, and material parameters to enhance localized surface plasmon resonances, field enhancement, and refractive index sensitivity. Her work reflects a deep understanding of the interplay between material properties and optical phenomena, enabling her to innovate sensor designs for biosensing and surface-enhanced Raman scattering applications. Dr. Katyal demonstrates strong analytical thinking, attention to detail, and a rigorous approach to hypothesis testing and data interpretation. Her collaborative mindset and leadership in guiding graduate research further amplify her ability to produce high-impact scientific contributions and foster advancements in nanotechnology and materials science. Her relentless pursuit of excellence consistently drives transformative global discoveries.

Conclusion

Dr. Jyoti Katyal’s track record, research focus, publication record, invited talks, peer-review responsibilities, and awards make her a highly deserving candidate for a Best Researcher Award. Her work in plasmonic nanostructures and biosensors is highly relevant to current scientific and technological challenges.

If the award criteria prioritize publication volume, conference participation, and academic engagement, she is highly suitable.
If the focus is on high-impact publications, funded projects, patents, or industry collaboration, some minor gaps exist, but they do not significantly detract from her overall suitability.

Publications Top Noted

Katyal, J., & Soni, R.K. (2013). Size- and shape-dependent plasmonic properties of aluminum nanoparticles for nanosensing applications. Journal of Modern Optics, 60(20), 1717–1728.
Katyal, J., & Soni, R.K. (2014). Localized surface plasmon resonance and refractive index sensitivity of metal–dielectric–metal multilayered nanostructures. Plasmonics, 9, 1171–1181.
Katyal, J. (2021). Localized surface plasmon resonance and field enhancement of Au, Ag, Al and Cu nanoparticles having isotropic and anisotropic nanostructure. Materials Today: Proceedings, 44, 5012–5017.
Katyal, J., & Soni, R.K. (2015). Field enhancement around Al nanostructures in the DUV–visible region. Plasmonics, 10, 1729–1740.
Katyal, J. (2018). Plasmonic coupling in Au, Ag and Al nanosphere homo-dimers for sensing and SERS. Advanced Electromagnetics, 7(2), 83–90.
Katyal, J. (2019). Comparison of localised surface plasmon resonance and refractive index sensitivity for metallic nanostructures. Materials Today: Proceedings, 18, 613–622.
Faujdar, S., Pathania, P., & Katyal, J. (2022). Systematic investigation of transition metal nitrides (ZrN, TiN) based plasmonic multilayered core–shell nanoparticle for sensing. Materials Today: Proceedings, 57, 2295–2298.
Sharma, C., Katyal, J., Deepanshi, & Singh, R. (2023). Effect of monomers and multimers of gold nanostars on localized surface plasmon resonance and field enhancement. Plasmonics, 18(6), 2235–2245.
Katyal, J. (2020). Al-Au heterogeneous dimer–trimer nanostructure for SERS. Nanoscience & Nanotechnology-Asia, 10(1), 21–28.
Katyal, J. (2019). Comparative Study Between Different Plasmonic Materials and Nanostructures for Sensor and SERS Application. In Reviews in Plasmonics (pp. 77–108).
Sharma, C., Katyal, J., & Singh, R. (2023). Aluminum Nano Stars with Localized Surface Plasmon Resonance and Field Enhancement. Nanoscience & Nanotechnology-Asia, 13(4), 57–64.
Sharma, C., Katyal, J., & Singh, R. (2023). Plasmon Tunability and Field Enhancement of Gold Nanostar. Nanoscience & Nanotechnology-Asia, 13(3), 13–18.
Faujdar, S., Nayal, A., Katyal, J., & Pathania, P. (2025). Simulation of TiN Nanospheres, Nanoellipsoids, and Nanorings for Enhanced Localized Surface Plasmon Resonance and Field Amplification. ChemistrySelect, 10(9), e202404987.
Yashika & Katyal, J. (2024). Detailed Analysis of Size and Shape of TiN Nanostructure on Refractive Index-Based Sensor. Plasmonics, 1–11.
Katyal, J. (2022). Plasmonic Properties of Al2O3 Nanoshell with a Metallic Core. Micro and Nanosystems, 14(3), 243–249.

Bimal Kumar Dora | Engineering | Best Researcher Award

Posted on 28/02/202528/02/2025 by ScienceFather

Mr. Bimal Kumar Dora | Engineering | Best Researcher Award

PhD at Visvesvaraya National Institute of Technology Nagpur, India

Bimal Kumar Dora is an emerging researcher in electrical engineering with a strong focus on power system optimization and renewable energy integration. Currently pursuing a PhD at Visvesvaraya National Institute of Technology, his research addresses critical challenges in developing a global electricity grid by integrating advanced machine learning and meta-heuristic algorithms. He has contributed significantly to academic literature through multiple publications in reputed international journals and conferences, emphasizing innovative solutions such as hybrid optimization techniques and robust algorithmic frameworks. His work bridges traditional power systems with modern computational methods, demonstrating both theoretical insight and practical application. Alongside his research, he actively participates in workshops and seminars that further enhance his expertise in control, power, and electric drives. His dedication is evidenced by prestigious fellowships and continuous professional development. Dora’s interdisciplinary approach and commitment to solving complex energy problems make him a promising candidate for future advancements in sustainable power systems.

Professional Profile

Education

Bimal Kumar Dora’s academic journey reflects a dedicated and robust foundation in electrical engineering and research methodologies. He began his studies with a Diploma in Electrical Engineering from Odisha School of Mining Engineering, where he built his fundamental technical skills. Subsequently, he earned a Bachelor’s degree in Electrical Engineering from Gandhi Institute for Technological Advancement, further solidifying his expertise in the field. His academic progression continued with a Master of Technology from the National Institute of Technology Sikkim, where he specialized in Control, Power, and Electric Drives, achieving an outstanding CGPA and engaging in research on power system optimization. Currently, he is pursuing a PhD at Visvesvaraya National Institute of Technology, focusing on the global electricity grid and integrating innovative approaches in machine learning and meta-heuristic algorithms. This comprehensive educational background has equipped him with both theoretical knowledge and practical skills necessary for addressing complex challenges in sustainable energy systems.

Professional Experience

Bimal Kumar Dora’s professional experience exemplifies high-level research and practical applications in the electrical engineering domain. As a dedicated researcher, he has contributed to multiple international journals and conference proceedings, showcasing his work on power system optimization, renewable energy integration, and advanced algorithm development. His work has earned international acclaim. His research projects involve developing innovative hybrid algorithms such as the Exchange Market based Butterfly Optimization Algorithm, tested on standard IEEE systems and real-world power grids. Dora’s experience extends to collaborating with renowned academic institutions and industry experts, enhancing the translational impact of his work. In addition, he has participated in various workshops and seminars focused on control systems, power electronics, and emerging technologies. His technical proficiency in programming tools like Python and MATLAB reinforces his ability to tackle complex engineering challenges. Through professional development and engagement in cutting-edge research, he remains a key asset to the sustainable energy sector.

Research Interest

Mr. Bimal Kumar Dora’s research interests lie at the intersection of power system optimization, renewable energy integration, and advanced computational techniques. His work primarily focuses on developing efficient algorithms to tackle complex challenges in modern electrical grids, including the integration of renewable energy sources into a global electricity grid. He employs machine learning, meta-heuristic, and soft computing methods to design and implement innovative solutions for generation expansion planning and optimal reactive power dispatch. His exploration of hybrid optimization techniques—such as the Exchange Market based Butterfly Optimization Algorithm—demonstrates his commitment to enhancing system reliability and efficiency. By integrating traditional power system engineering with contemporary data-driven methodologies, his research addresses both theoretical and practical aspects of sustainable energy systems. This multidisciplinary approach not only contributes to academic literature but also offers tangible benefits for industry applications, making his work highly relevant in the evolving landscape of energy management and smart grid technologies.

Award and Honor

Throughout his academic and research career, Mr. Dora has received significant recognition for his dedication and innovative contributions. Notably, he qualified in the GATE examination in 2018, which paved the way for prestigious scholarships and fellowships. His academic excellence was further acknowledged through the AICTE GATE Scholarship awarded by MHRD during his M. Tech studies, reinforcing his capability in rigorous research and problem-solving. Currently, his potential is recognized with the MHRD Research Fellowship, an honor that supports his PhD work at Visvesvaraya National Institute of Technology. These awards not only underscore his technical proficiency and research acumen but also reflect his commitment to pushing the boundaries of electrical engineering. Such accolades serve as a testament to his ability to innovate and lead in the field of sustainable energy solutions, earning him respect and admiration among his peers and mentors.

Research Skill

Mr. Bimal Kumar Dora exhibits a robust set of research skills that are fundamental to his success as an emerging scholar in electrical engineering. His technical expertise spans a wide array of programming and simulation tools, including Python, MATLAB, and Octave, which he adeptly applies to model complex power systems and optimize performance. Proficient in using specialized software such as QGIS, MiPower, and Power World, he efficiently conducts simulations and analyses that support his research hypotheses. Additionally, his familiarity with real-time simulators like Typhon HIL and the Real-Time Transmission Line Simulator enhances his ability to test theoretical models under practical conditions. His skills extend to academic writing and presentation, supported by his proficiency in LATEX and MS Office. This comprehensive toolkit not only allows him to conduct innovative experiments and develop hybrid algorithms but also ensures that his findings are communicated effectively through high-impact publications and presentations at international conferences.

Conclusion

Bimal Kumar Dora demonstrates significant promise as a researcher with a strong foundation in innovative and interdisciplinary work. His solid academic record, impactful publications, and technical proficiency make him a compelling candidate for the Best Researcher Award. Addressing areas such as leadership in collaborative projects and extending the societal impact of his research could further elevate his profile. Overall, his achievements and ongoing commitment to advancing power system optimization and renewable energy integration mark him as a deserving contender for this recognition.

Publications Top Noted

Inverse Thresholding to Spectrogram for the Detection of Broken Rotor Bar in Induction Motor
Title: Inverse Thresholding to Spectrogram for the Detection of Broken Rotor Bar in Induction Motor
Authors: S Halder, S Bhat, BK Dora
Year: 2022
Citation Count: 18

An Enhanced Pathfinder Algorithm Based MCSA for Rotor Breakage Detection of Induction Motor
Title: An Enhanced Pathfinder Algorithm Based MCSA for Rotor Breakage Detection of Induction Motor
Authors: S Halder, BK Dora, S Bhat
Year: 2022
Citation Count: 15

Optimal Reactive Power Dispatch Problem Using Exchange Market Based Butterfly Optimization Algorithm
Title: Optimal Reactive Power Dispatch Problem Using Exchange Market Based Butterfly Optimization Algorithm
Authors: BK Dora, A Rajan, S Mallick, S Halder
Year: 2023
Citation Count: 14

Start-up Transient Analysis Using CWT and Ridges for Broken Rotor Bar Fault Diagnosis
Title: Start-up Transient Analysis Using CWT and Ridges for Broken Rotor Bar Fault Diagnosis
Authors: S Halder, S Bhat, B Dora
Year: 2023
Citation Count: 14

Solution of Reactive Power Dispatch Problems Using Enhanced Dwarf Mongoose Optimization Algorithm
Title: Solution of Reactive Power Dispatch Problems Using Enhanced Dwarf Mongoose Optimization Algorithm
Authors: BK Dora, S Bhat, S Halder, M Sahoo
Year: 2023
Citation Count: 13

A Solution to the Techno-Economic Generation Expansion Planning Using Enhanced Dwarf Mongoose Optimization Algorithm
Title: A Solution to the Techno-Economic Generation Expansion Planning Using Enhanced Dwarf Mongoose Optimization Algorithm
Authors: BK Dora, S Bhat, S Halder, I Srivastava
Year: 2022
Citation Count: 8

A Solution to Multi Objective Stochastic Optimal Power Flow Problem Using Mutualism and Elite Strategy Based Pelican Optimization Algorithm
Title: A Solution to Multi Objective Stochastic Optimal Power Flow Problem Using Mutualism and Elite Strategy Based Pelican Optimization Algorithm
Authors: BK Dora, S Bhat, S Halder, I Srivastava
Year: 2024
Citation Count: 6

Optimum Scheduling and Dispatch of Power Systems with Renewable Integration
Title: Optimum Scheduling and Dispatch of Power Systems with Renewable Integration
Authors: A Rajan, BK Dora
Year: 2022
Citation Count: 5

Prediction of Broken Rotor Bar in Induction Motor Using Spectral Entropy Features and TLBO Optimized SVM
Title: Prediction of Broken Rotor Bar in Induction Motor Using Spectral Entropy Features and TLBO Optimized SVM
Authors: S Halder, S Bhat, B Dora
Year: 2022
Citation Count: 3

An Enhanced Path Finder Algorithm for the Estimation of the Stator Current Envelope to Detect Rotor Bar Breakage in an Induction Motor
Title: An Enhanced Path Finder Algorithm for the Estimation of the Stator Current Envelope to Detect Rotor Bar Breakage in an Induction Motor
Authors: S Halder, BK Dora, S Bhat
Year: 2024
Citation Count: 2

Radhika khanna | Chemistry | Best Researcher Award

Posted on 28/02/202528/02/2025 by ScienceFather

Mrs. Radhika khanna | Chemistry | Best Researcher Award

Researcher at FRI, India

Mrs. Radhika Khanna is an accomplished researcher and educator whose career embodies a seamless blend of academic excellence and innovative scientific inquiry. Her work spans multiple disciplines, merging the realms of medical sciences, chemistry, and education to generate impactful research and practical solutions. With an impressive portfolio that includes significant research publications and a patented formulation for diabetes management, she has consistently demonstrated her ability to convert theoretical knowledge into real-world applications. In addition to her research, she has been an inspiring teacher, effectively engaging students at both TGT and PGT levels. Her active participation in national and international conferences, along with her continuous pursuit of professional development through various certification programs, reflects her unwavering commitment to advancing science and education. As she continues her Ph.D. journey at a prestigious research institute, her dynamic contributions mark her as a promising leader in the scientific community.

Professional Profile

Education

Mrs. Radhika Khanna’s academic journey is marked by diversity and determination. She began her formal education at Shri Ram Ashram Public School, Amritsar, where she completed her SSC with commendable performance in 2010–2011. Building on this strong foundation, she pursued her HSC at Bhavans SL Public School, Amritsar in 2012–2013, securing an impressive 84%. She then obtained her Bachelor of Science in Medical from S.R. Government College, Amritsar (2013–2016), followed by a Master of Science in Chemistry from Khalsa College, Amritsar (2016–2018). Demonstrating a passion for teaching alongside scientific inquiry, she completed her B.Ed in Science at M.L.M College, Amritsar (2018–2020). Currently, she is advancing her scholarly pursuits through a Ph.D. at the Forest Research Institute, Dehradun, where her thesis has been completed and is under review, highlighting her dedication to research and academic excellence.

Professional Experience

Mrs. Radhika Khanna has built a robust professional profile that bridges high-caliber research and impactful teaching. Her early career was marked by her involvement in a research project on the design and synthesis of Schiff base-based chemosensors at Khalsa College, Amritsar (2017–2018) under the mentorship of Dr. Kuljit Kaur. She then transitioned into the field of education, serving as a TGT and PGT Chemistry teacher at Shri Ram Ashram Public School, Amritsar from 2018 to 2020, where she employed innovative and interactive teaching methods. In 2020, she furthered her research career with a project on the chemical characterization of forest genetic resources at the Forest Research Institute, Dehradun, under the guidance of Dr. V.K. Varshney. In parallel, she has actively participated in various national and international conferences, presenting her findings and earning accolades such as a best poster award, thereby enhancing her reputation as both a dedicated researcher and an influential educator.

Research Interest

Mrs. Radhika Khanna’s research interest lies at the intersection of natural product chemistry and sustainable forest resource management. She is particularly focused on the chemical characterization and pharmacological evaluation of bioactive compounds derived from lesser-known forest species. Her work encompasses the exploration of novel natural antioxidants, anti-inflammatory agents, and antidiabetic compounds, with a significant emphasis on Cupressus torulosa. By employing advanced techniques such as UPLC-QTOF-MS, LCMS, and GCMS, she aims to elucidate the metabolomic profiles of these plants and establish their potential for therapeutic applications. Her research not only contributes to the scientific understanding of plant-based bioactives but also supports the sustainable utilization of forest genetic resources. Through this work, she seeks to bridge traditional knowledge with modern analytical science, thereby paving the way for innovative drug discovery and environmental conservation strategies that can benefit both human health and biodiversity.

Awards and Honors

Mrs. Radhika Khanna has received several accolades and recognitions that underscore her commitment to scientific excellence and innovation. Among her notable honors is the best poster award, which was conferred at a national conference highlighting her exceptional presentation on the toxicity studies and hypoglycemic activity of natural extracts. In addition, she holds a patent for a formulation aimed at treating diabetes mellitus and its complications, marking a significant milestone in her research career. Her active participation and presentations at international conferences, such as those in Nepal and during the Young Scientist Conference organized by prestigious governmental bodies, further attest to her research prowess. These awards and honors not only recognize her technical expertise and innovative approach but also inspire her continuous pursuit of excellence in both academic and applied research domains.

Research Skills

Mrs. Radhika Khanna possesses a robust set of research skills that are integral to her success as a scientist and educator. Her technical proficiency spans a wide array of advanced analytical instruments including UV/IR spectroscopy, GCMS, HPLC, LCMS, and GCFID, which she utilizes to perform detailed chemical analyses and compound characterizations. She is adept at employing chromatographic techniques such as column and flash chromatography to isolate and purify complex mixtures. In addition to her laboratory skills, she is proficient in data interpretation, enabling her to draw meaningful conclusions from experimental results. Her computational skills, including proficiency in C++, HTML, and various graphic design tools like Corel Draw and Adobe Photoshop, further enhance her ability to present and communicate research findings effectively. Overall, her blend of technical expertise, analytical rigor, and innovative thinking positions her as a highly capable researcher with a significant impact on both scientific inquiry and applied research practices.

Conclusion

Radhika Khanna stands out as a strong candidate for the Best Researcher Award. Her multidisciplinary expertise, advanced technical skills, and a growing portfolio of high-quality research outputs make her well-suited for this recognition. With strategic improvements—especially in fostering collaborations, enhancing her publication profile, and strengthening grant acquisition—she has the potential to significantly elevate her research impact and contribute even more robustly to her field.

Publications Top Noted

Publication 1:
Title: In vitro and in vivo anti-inflammatory activity of Cupressus torulosa D. DON needles extract and its chemical characterization
Authors: R Khanna, K Bhadoriya, YC Tripathi, VK Varshney
Year: 2023
Citation: Journal of Ethnopharmacology, Volume 314, Article 116578 (2023).

Publication 2:
Title: Cupressus torulosa, a Source of Antioxidant Polyphenols: An Analytical and Pharmacological Study
Authors: R Khanna, HR Chitme, K Bhadoriya, VK Varshney
Year: 2025
Citation: Rapid Communications in Mass Spectrometry, Volume 39, Issue 3, Article e9945 (2025).

Publication 3:
Title: In Vitro and In Vivo Assessment of Antidiabetic Activity of Cupressus torulosa D. Don Needles, Their LCQTOFMS Assisted Metabolite Profiling, and Implications for Diabetes Management
Authors: R Khanna, HR Chitme, K Bhadoriya, YC Tripathi, VK Varshney
Year: 2025
Citation: Journal of Mass Spectrometry: JMS, Volume 60, Issue 3, Article e5117 (2025).

Publication 4:
Title: UPLC-QTOF-MS-based metabolomics and chemometrics studies of geographically diverse C. torulosa needles
Authors: R Khanna, VK Varshney, K Bhadoriya
Year: 2025
Citation: Analytical Methods (2025).

Publication 5:
Title: Toxicity studies, Hypoglycaemic activity of Cupressus torulosa needles and recognition of active molecules
Authors: R Khanna
Year: [Year not specified]
Citation: MDPI – [Further citation details not provided].

Mohammad Mahdi Ochi | Engineering | Best Researcher Award

Posted on 28/02/202528/02/2025 by ScienceFather

Dr. Mohammad Mahdi Ochi | Engineering | Best Researcher Award

School of Life Science Engineering at College of Interdisciplinary Science and Technology, University of Tehran, Iran

Dr. Mohammad Mahdi Ochi is a distinguished researcher whose innovative work bridges the fields of nano-biotechnology, biomimetics, and smart drug delivery systems. With a primary focus on developing novel nano-liposome based herbal drug delivery platforms, his research addresses critical challenges in targeted cancer therapy and sustainable medicinal practices. As an assistant professor at the University of Tehran, Dr. Ochi has established a reputation for academic excellence and pioneering research that integrates interdisciplinary methodologies. His scholarly contributions include multiple patents, high-impact publications, and participation in international conferences, showcasing his ability to translate complex scientific concepts into practical applications. Dr. Ochi’s research portfolio reflects a commitment to advancing both fundamental science and applied technologies, making significant contributions to the fields of nano-biotechnology and plant-based therapeutics. His work is recognized for its potential to improve therapeutic outcomes and foster innovation in drug delivery systems. Dr. Ochi continues inspiring many emerging researchers worldwide.

Professional Profile

Scopus Profile

Education

Dr. Mohammad Mahdi Ochi’s academic journey is marked by consistent excellence and a passion for scientific inquiry. He earned his B.Sc. in Plant Protection from the University of Tehran in 2006, achieving a notable average score and establishing a strong foundation in biological sciences. Continuing his academic pursuits at the same institution, he completed an M.Sc. in Phytopathology, and later specialized in Nanobiotechnology, securing high marks that reflected his academic rigor. Recognized as an elite student during his Ph.D. program in Nano-Biotechnology at the University of Tehran’s Faculty of New Science and Technology, he benefited from prestigious scholarships and awards. His rigorous training has been instrumental in shaping his research skills, contributing to his innovative work in nano-biomimetic systems and smart drug delivery. This educational background not only highlights his academic prowess but also underpins his commitment to advancing interdisciplinary research. His outstanding education continues to drive his future achievements.

Professional Experience

Dr. Mohammad Mahdi Ochi’s professional journey reflects a robust blend of academic and research excellence. Currently serving as an assistant professor at the University of Tehran’s School of Life Science Engineering, he has played a pivotal role in advancing interdisciplinary research initiatives. His expertise in nano-biotechnology and smart drug delivery systems has led to the development of innovative nano-liposome platforms for targeted cancer therapy. Dr. Ochi has secured multiple patents, including a U.S. patent for a targeted nano-liposome co-encapsulating anti-cancer drugs, showcasing his ability to translate research into practical solutions. He actively participates in international conferences, disseminating his research findings and fostering collaborations with global experts. Through leadership in various research projects and mentorship of emerging scholars, he continuously contributes to the advancement of nanobiotechnology. His professional experience is a testament to his dedication, innovation, and impactful contributions to both scientific research and academic development. His career continues to flourish.

Research Interest

Dr. Mohammad Mahdi Ochi’s research interests revolve around the innovative integration of nano-biotechnology, nano-biomimetics, smart drug delivery systems, and natural nano-supplements. He passionately explores the development of advanced nano-liposome based herbal drug delivery systems to enhance targeted therapeutic outcomes, with a particular focus on liver cancer treatment. His work bridges the gap between traditional herbal medicine and cutting-edge nanotechnology, fostering systems that improve drug bioavailability while minimizing side effects. By employing the principles of biomimetics, he designs drug carriers that mimic natural biological processes, thereby optimizing therapeutic efficiency. In addition, he investigates the potential of natural nano-supplements to boost the efficacy of medicinal compounds. Dr. Ochi’s interdisciplinary approach not only addresses complex challenges in drug delivery but also paves the way for breakthroughs in personalized medicine. His research aims to revolutionize treatment protocols, offering safer and more effective solutions for patients and contributing substantially to the advancement of healthcare technology.

Award and Honor

Dr. Mohammad Mahdi Ochi’s career is marked by a series of awards and honors that underscore his academic excellence and research innovation. Recognized early on as an elite student during his B.Sc., M.Sc., and Ph.D. studies at the University of Tehran, his consistent high performance has been lauded by peers and mentors alike. His doctoral achievements, including exceptional thesis scores and scholarship awards, reflect his dedication and intellectual rigor. In addition to academic accolades, Dr. Ochi has earned prestigious research awards for his groundbreaking ideas in nano-biotechnology and smart drug delivery systems. His record includes several patents, notably a U.S. patent for a targeted nano-liposome co-encapsulating anti-cancer drugs, which serves as a testament to his inventive contributions. These honors validate his expertise and reinforce his reputation as a leading figure in his field, inspiring confidence in his potential to drive transformative advances in biomedical research.

Research Skill

Dr. Mohammad Mahdi Ochi has demonstrated exceptional research skills through a robust portfolio that combines technical precision, innovative methodologies, and interdisciplinary collaboration. His expertise in nano-biotechnology and smart drug delivery is evident from his extensive work on nano-liposome based systems designed for targeted cancer therapy. He skillfully integrates experimental design, data analysis, and advanced patent development into his research, consistently producing high-impact publications and presenting his findings at international conferences. Dr. Ochi’s ability to synthesize concepts from plant pathology, nanotechnology, and medicinal chemistry underpins his creative approach to solving complex scientific problems. His meticulous attention to detail, coupled with strategic project management and successful acquisition of competitive research funding, further highlights his research prowess. Moreover, his commitment to mentoring emerging scholars and fostering collaborative environments demonstrates a leadership quality that not only enriches his own work but also inspires innovation across the broader scientific community.

Conclusion

Mohammad Mahdi Ochi exhibits a strong and innovative research profile characterized by academic excellence, pioneering work in nano-biomimetic drug delivery systems, and a proven record of interdisciplinary contributions. His patented innovations and diverse publication record highlight his potential to drive significant advances in nanobiotechnology and related fields. With targeted efforts to enhance international exposure and leadership within collaborative projects, Ochi is a highly deserving candidate for the Best Researcher Award.

Publications Top Noted

Title:
Biological and Chemical Assessment of the Liposomes Carrying a Herbal MRI Contrast Agent

Authors:
Ali Yazdani, Mohammad Mahdi Ochi, Nafiseh Hassani, Ahmadreza Okhovat, Hamid Soltanian-Zadeh

Year:
2025

Citations:
0

Silvia Scaglione | Other | Best Researcher Award

Posted on 28/02/202528/02/2025 by ScienceFather

Dr. Silvia Scaglione | Other | Best Researcher Awardot

Chief scientist at React4life, Italy

Silvia Scaglione is a distinguished biomedical engineer and researcher with extensive experience in bioengineering, tissue engineering, and advanced in vitro models. She holds a Ph.D. in Bioengineering and Bioelectronics from the University of Genoa and has served as a researcher at the National Research Council (CNR) of Italy since 2010, currently holding a senior researcher position. She is the founder and Chief Scientist of React4Life, a startup focused on innovative 3D tissue models, and has led multiple high-impact research projects, including European-funded initiatives such as Horizon 2020 and HORIZON-HLTH. Her contributions to biomaterials, regenerative medicine, and organ-on-chip technologies have been recognized through numerous prestigious awards, including the Best Health Innovation award from the European Commission and the Gamma Donna award. Scaglione has been an invited speaker at major international conferences, a scientific evaluator for European research grants, and a reviewer for leading journals. With a strong publication record, patents, and leadership in academia and industry, she has significantly advanced biomedical research, particularly in cancer and regenerative medicine, making her a strong candidate for the Best Researcher Award.

Professional Profile

Education

Silvia Scaglione holds a Ph.D. in Bioengineering and Bioelectronics from the University of Genoa, where she also earned her Master’s degree in Biomedical Engineering. Her academic journey focused on advanced biomedical technologies, biomaterials, and tissue engineering, laying the foundation for her groundbreaking research in regenerative medicine and organ-on-chip models. Throughout her education, she developed expertise in computational modeling, microfluidics, and cellular biomechanics, which later became central to her work in both academia and industry. Her strong educational background has been instrumental in her role as a senior researcher at the National Research Council (CNR) of Italy and as the founder of React4Life, a startup specializing in innovative 3D tissue models for biomedical applications.

Professional Experience

Silvia Scaglione is a distinguished bioengineer with extensive experience in biomedical research and innovation. She serves as a senior researcher at the National Research Council (CNR) of Italy, where she focuses on tissue engineering, regenerative medicine, and organ-on-chip technologies. She is also the founder and president of React4Life, a biotech company specializing in advanced 3D tissue models for drug testing and personalized medicine. With a strong background in bioengineering, biomaterials, and microfluidics, she has led numerous research projects, published extensively in high-impact journals, and contributed to the development of cutting-edge biomedical technologies. Her expertise bridges academia and industry, driving forward innovative solutions in healthcare and life sciences.

Research Interest

Silvia Scaglione’s research interests lie at the intersection of bioengineering, regenerative medicine, and advanced in vitro modeling. She specializes in developing innovative 3D tissue models, organ-on-chip systems, and microfluidic platforms to improve drug testing, disease modeling, and personalized medicine. Her work focuses on creating physiologically relevant environments that mimic human tissues, enabling more accurate preclinical studies and reducing reliance on animal testing. Additionally, she explores biomaterials, stem cell therapies, and tissue regeneration strategies to advance medical treatments for various diseases. Through her research, she aims to bridge the gap between biomedical engineering and clinical applications, fostering the development of next-generation healthcare solutions.

Award and Honor

Silvia Scaglione has been recognized with several prestigious awards throughout her career, highlighting her contributions to biomedical engineering and innovation. In 2019, she received the ITWIIN Best Inventor Award for her development of MIVO, a patented technology that replicates living organs in the laboratory for testing purposes.In 2021, she was honored with the Women Startup Award powered by Intesa Sanpaolo Innovation Center, acknowledging her role as Chief Research Officer at React4Life and her innovative contributions to the biotech sector.The same year, React4Life, under her leadership, won the Innovation Radar Prize in the Health Tech Innovation category, further cementing her impact on advancing healthcare technologies.Additionally, she was a finalist for the GammaDonna Award in 2021, which celebrates innovative female entrepreneurship in Italy.

Conclusion

Silvia Scaglione is an exceptionally strong candidate for the Best Researcher Award. Her pioneering work in biomedical engineering, leadership in major research projects, industry impact, and multiple prestigious recognitions make her highly deserving of the award. Addressing publication metrics, broader global collaborations, and public science outreach could further solidify her standing in the global research community.

Publications Top Noted

Integrating bioprinted oral epithelium with millifluidics for fluorouracil perfusion and Fusobacterium infection to bioengineer oral mucositis-on-a-chip
- Authors: T.T. Truong, T.V. Phan, Y. Oo, O. Matangkasombut, J.N. Ferreira, et al.
- Year: 2025
- Citations: 0
Shifting the Focus from Dissolution to Permeation: Introducing the Meso-fluidic Chip for Permeability Assessment (MCPA)
- Authors: M.M. Tzanova, B.S. Larsen, R. Birolo, M. Hiorth, M.P. di Cagno, et al.
- Year: 2024
- Citations: 1
Fluid-Dynamic Culture of Tumour and Immune Cells for More Predictive Infiltration Studies and Immunotherapy Drug Screening
- Authors: M.E.F. Palamà, M. Aiello, S. Scaglione
- Year: Not specified
- Citations: 0
Multicompartmental dynamic models for permeability studies
- Authors: S. Scaglione, M.P. di Cagno
- Year: Not specified
- Citations: 0
3D Bioprinting as a Powerful Technique for Recreating the Tumor Microenvironment
- Authors: I. Parodi, D. Di Lisa, L. Pastorino, S. Scaglione, M.M. Fato
- Year: 2023
- Citations: 17
Different effects of NK cells and NK-derived soluble factors on cell lines derived from primary or metastatic pancreatic cancers
- Authors: P.F. Fiore, A.L. Di Pace, L.A. Conti, L. Moretta, P. Vacca, et al.
- Year: 2023
- Citations: 5
A Human Ovarian Tumor & Liver Organ-on-Chip for Simultaneous and More Predictive Toxo-Efficacy Assays
- Authors: A. Fedi, C. Vitale, M.M. Fato, S. Scaglione
- Year: 2023
- Citations: 10
Mathematical model of nutrients transport and cell growth in a bioprinted hydrogel
- Authors: I. Parodi, S. Scaglione, M.M. Fato, R. Repetto
- Year: Not specified
- Citations: 0

Dr.N Shirisha | Computer Science | Women Researcher Award

Posted on 28/02/202528/02/2025 by ScienceFather

Mrs. Dr.N Shirisha | Computer Science | Women Researcher Award

Associate Professor at MLR Institute of Technology, India

Dr. Shirisha Nalla is a distinguished researcher and academic with a robust profile characterized by innovative research contributions, technological expertise, and a passion for advancing software engineering. Her career is highlighted by numerous high-quality publications in internationally recognized journals and conferences. She has made significant strides in diverse research areas including quantum key distribution, cloud security, IoT applications, and deep learning, which have led to multiple patents and innovative solutions. Dr. Nalla’s interdisciplinary approach and commitment to excellence are evident from her consistent record of first-class academic achievements and leadership roles in various academic and research initiatives. Her work not only bridges theoretical advancements and practical implementations but also supports student development and departmental growth. Driven by curiosity and determination, she continues to explore emerging technologies and foster a collaborative research environment that inspires peers and students alike. Her impressive track record and dedication mark her as an influential leader.

Professional Profile

Education

Dr. Shirisha Nalla has established a strong academic foundation through exemplary performance at every stage of her education. She earned her Ph.D. from K L University in 2021, following her M.Tech in Software Engineering from DRK Institute Of Science & Technology, affiliated with Jawaharlal Nehru Technological University, where she excelled with First Class Distinction during 2010-2012. Earlier, she completed her B.Tech in Computer Science & Engineering from Malla Reddy Institute of Technology & Science under JNTU in 2005-2009, again graduating with First Class Distinction. Her formative years were marked by consistent excellence in academics, as she secured First Class Distinction in Intermediate studies and her 10th class examinations. Each milestone of her education reflects a commitment to rigorous study, technical proficiency, and intellectual curiosity, laying the groundwork for a career in research and software development. Her academic achievements are a testament to her discipline, resilience, and lifelong pursuit of knowledge.

Professional Experience

Dr. Shirisha Nalla brings over a decade of teaching and research experience to her academic career. She has served as an Associate Professor at Malla Reddy Institute of Technology & Science for more than 10.5 years, contributing significantly to curriculum development, research mentorship, and departmental leadership. Prior to this role, she gained valuable experience as an Assistant Professor at multiple institutions, including one year at SMEC, one year at NNRG, and three years at DRK Institute Of Science & Technology. In these roles, she has taught a wide range of subjects including mobile application development, operating systems, big data analytics, and machine learning, among others. Her professional journey is marked by a commitment to academic excellence, innovative teaching methods, and active participation in research projects, hackathons, and technology initiatives, which have enriched her pedagogical approach and furthered her impact on the academic community. Her experience continues to inspire academic innovation.

Research Interest

Dr. Shirisha Nalla’s research interests lie at the intersection of cybersecurity, big data analytics, and advanced machine learning techniques. Her work focuses on developing robust security mechanisms for cloud and IoT environments, including innovative applications of quantum key distribution and cryptographic protocols to safeguard data transmission. She also explores the integration of blockchain with federated learning in vehicular networks, and designs intelligent systems for healthcare applications such as smart medical devices and EHR analytics. Additionally, her interests extend to deep learning applications for sign language conversion, automated machine learning using MLOps, and predictive modeling in areas like weather forecasting and real estate valuation. This interdisciplinary approach bridges theoretical advancements with practical implementations, driving innovation across multiple high-impact domains. Her research not only enhances the security and efficiency of digital systems but also paves the way for scalable and intelligent solutions in modern technology.

Awards and Honors

Dr. Shirisha Nalla has consistently received recognition for her academic excellence and innovative contributions in the field of software engineering and research. Her distinguished academic record, underscored by First Class with Distinction achievements at every educational milestone, reflects her unwavering commitment to excellence. Beyond academics, her numerous patents and high-quality publications in reputed journals and international conferences stand as a testament to her pioneering work. Dr. Nalla’s accolades include certifications such as the IUCEE Phase-I and several elite SWAYAM-NPTEL credentials, highlighting her advanced proficiency in emerging technologies. These honors underscore not only her technical expertise but also her ability to translate research into practical, real-world solutions. Her achievements continue to serve as a motivational beacon for emerging researchers, setting exemplary standards nationwide and inspiring both peers and students to pursue innovative and impactful research.

Research Skills

Dr. Shirisha Nalla exhibits a broad spectrum of research skills that have propelled her to the forefront of her discipline. With expertise in programming languages including R, C, C++, Java, and Python, she adeptly develops complex algorithms and software solutions to address modern challenges. Her proficiency extends to various scripting languages and database management systems, allowing her to harness large datasets for insightful analysis and model development. Dr. Nalla is well-versed in advanced methodologies such as deep learning, machine learning, and MLOps, as evidenced by her prolific publication record and patented innovations. Her interdisciplinary approach enables effective integration of cybersecurity, big data, and IoT applications. Furthermore, her hands-on experience in real-world projects, combined with her academic teaching, has refined her analytical and problem-solving skills, fostering a culture of continuous learning and innovation. This balance of technical expertise and creative research acumen underlines her significant contributions to the field.

Conclusion

Dr. Shirisha Nalla’s profile demonstrates a high level of academic excellence, a prolific and diversified research output, and a strong commitment to innovation and mentorship. These attributes make her an excellent candidate for the Women Researcher Award. While further emphasis on measurable impact and interdisciplinary outreach could enhance her profile even more, her overall contributions to software engineering and related fields stand out as both influential and inspiring.

Publications Top Noted

Implementation of an smart waste management system using IoT
• Authors: P Haribabu, SR Kassa, J Nagaraju, R Karthik, N Shirisha, M Anila
• Year: 2017
• Citations: 50
K-Anonymization approach for privacy preservation using data perturbation techniques in data mining
• Authors: A Kiran, N Shirisha
• Year: 2022
• Citations: 29
IoT based Smart Door lock system
• Authors: G Sowmya, GD Jyothi, N Shirisha, K Navya, B Padmaja
• Year: 2018
• Citations: 24
The association between psychological stress and recurrent aphthous stomatitis among medical and dental student cohorts in an educational setup in India
• Authors: AK Rao, S Vundavalli, NR Sirisha, CH Jayasree, G Sindhura, D Radhika
• Year: 2015
• Citations: 21
HEECCNB: An efficient IoT-cloud architecture for secure patient data transmission and accurate disease prediction in healthcare systems
• Authors: C Veena, M Sridevi, KKS Liyakat, B Saha, SR Reddy, N Shirisha
• Year: 2023
• Citations: 18
IoT based air pollution monitoring system
• Authors: K Nirosha, B Durgasree, N Shirisha
• Year: 2017
• Citations: 10
Authorization of data in hadoop using apache sentry
• Authors: N Sirisha, KV Kiran
• Year: 2018
• Citations: 9
IoT-based data quality and data preprocessing of multinational corporations
• Authors: N Sirisha, M Gopikrishna, P Ramadevi, R Bokka, KVB Ganesh, …
• Year: 2023
• Citations: 8
Stock exchange analysis using Hadoop user experience (Hue)
• Authors: N Sirisha, KVD Kiran
• Year: 2017
• Citations: 8
Oral health related quality of life among special community adult population with low socioeconomic status residing in Guntur city, Andhra Pradesh: A cross-sectional study
• Authors: NR Sirisha, P Srinivas, S Suresh, T Devaki, R Srinivas, BV Simha
• Year: 2014
• Citations: 7
Efficient automation using DTMF
• Authors: SK Shareef, N Shirisha
• Year: 2020
• Citations: 6
Recent investigation on fuels, EV and hybrid electrical vehicles impacts on pollution control techniques and predictions using IOT technology
• Authors: N Sirisha, B Cherukuru, VSS Ganni, MA Reddy
• Year: 2021
• Citations: 5

Melika Mirghaffari | Materials Science | Best Researcher Award

Posted on 26/02/202527/02/2025 by ScienceFather

Ms. Melika Mirghaffari | Materials Science | Best Researcher Award

student at Department of biomedical engineering,science and research branch, islamic azad university, tehran,iran

Melika Mirghaffari is a dedicated researcher in biomedical engineering, specializing in regenerative medicine and advanced biomaterials. Currently pursuing her Bachelor of Science at Islamic Azad University, she has contributed to multiple research publications on piezoelectric scaffolds for bone and skin regeneration. With hands-on experience as a research assistant at ZhinoGene Research Services Co. and a medical imaging technician at Sana Nuclear Medicine Center, she combines theoretical knowledge with practical expertise. Proficient in Python, AI, and scientific tools like Mendeley and Biorender, she excels in research, proposal writing, and article publishing. Her multilingual abilities in Persian, Azerbaijani, English, and French further enhance her global research collaborations. Passionate about scientific advancements, she has presented on wound healing technologies and continues to expand her research footprint. With a strong academic record and a multidisciplinary skill set, she is a promising young researcher making valuable contributions to biomedical engineering.

Professional Profile

ORCID Profile

Education

Melika Mirghaffari is currently pursuing a Bachelor of Science in Biomedical Engineering at Islamic Azad University, Science and Research Branch, Tehran, Iran (2020–2025). Her academic journey reflects a strong foundation in mathematics, physics, and natural sciences, having completed her High School Diploma in Mathematics and Physics at Farzanegan 6 High School, Tehran (2019–2020). Prior to that, she studied Natural Sciences at Farzanegan 6 High School, Tehran (2018–2019) and Farzanegan High School, Marand (2017–2018). Her educational background has provided her with a solid understanding of scientific principles, allowing her to engage in advanced research on biomaterials and regenerative medicine. Throughout her studies, she has demonstrated a keen interest in scientific research, developing skills in Python, AI, lab techniques, and medical imaging. With a strong academic foundation and hands-on research experience, she continues to expand her expertise in biomedical engineering, contributing to innovative advancements in the field.

Professional Experience

Melika Mirghaffari has gained extensive professional experience in biomedical research and medical imaging. Since October 2024, she has been working as a Research Assistant at ZhinoGene Research Services Co., contributing to cutting-edge studies in regenerative medicine and biomaterials. Additionally, she has been actively involved at Sana Nuclear Medicine Center since July 2020, where she currently serves as a Gamma Camera SPECT Medical Imaging Technician Assistant, gaining hands-on experience in diagnostic imaging and nuclear medicine. Previously, she worked as a Secretary at the same center from June 2020 to 2021. Her research involvement extends beyond lab work; in 2024, she presented on “Wound Healing Latest Advancements” in a Cell Therapy Course at ACECR, YARA, Tehran. With expertise in medical imaging, lab techniques, and biomedical engineering, Melika combines technical proficiency with research acumen, making significant contributions to her field at an early stage in her career.

Research Interest

Melika Mirghaffari’s research interests lie at the intersection of biomedical engineering, regenerative medicine, and biomaterials, with a particular focus on piezoelectric scaffolds, tissue engineering, and medical imaging. She is passionate about developing advanced biomaterials for bone and skin tissue regeneration, utilizing piezoelectric properties to enhance self-powered electrical stimulation for improved healing. Her work explores the application of electrospun nanofibers, 3D-printed biodegradable scaffolds, and hydrophilic coatings in medical devices. Additionally, she is interested in the integration of AI and computational modeling in biomedical research to optimize material properties for enhanced clinical applications. With hands-on experience in both experimental research and medical imaging, she aims to bridge the gap between engineering innovations and clinical applications. Through her research, she aspires to contribute to the development of next-generation biomaterials and regenerative therapies, improving patient outcomes and advancing the field of biomedical engineering.

Award and Honor

As a promising young researcher in biomedical engineering, Melika Mirghaffari has been recognized for her contributions to regenerative medicine and biomaterials research. Her dedication to scientific innovation and academic excellence has earned her opportunities to present her research, such as her 2024 presentation on “Wound Healing Latest Advancements” at the Cell Therapy Course, ACECR, YARA, Tehran. Additionally, her published and under-review research papers in renowned scientific journals highlight her contributions to piezoelectric scaffolds, bone regeneration, and biomaterial advancements. While early in her academic career, her work has positioned her as a strong candidate for prestigious awards in biomedical research. With her growing portfolio of scientific publications, research assistantship, and medical imaging expertise, she is poised to receive further recognition for her achievements. As she continues her research and innovation in biomedical engineering, she aims to earn distinctions in both national and international scientific communities.

Research Skill

Melika Mirghaffari possesses a diverse set of research skills that span biomedical engineering, biomaterials, and regenerative medicine. She is proficient in scientific research methodologies, literature review, and experimental design, enabling her to contribute to cutting-edge advancements in tissue engineering. Her expertise includes working with electrospun nanofibers, 3D-printed biodegradable scaffolds, and piezoelectric materials for bone and skin regeneration. Additionally, she is skilled in Python programming, AI applications, and computational modeling, which she integrates into her research for data analysis and simulation. She is experienced in writing research proposals, publishing scientific articles, and utilizing tools like Mendeley, Biorender, and Cell Designer for data organization and visualization. Her lab skills in medical imaging, biomaterial synthesis, and diagnostic techniques further enhance her research capabilities. With a strong foundation in both theoretical and practical biomedical research, she continues to refine her skills to contribute to innovative healthcare solutions.

Conclusion

Melika Mirghaffari exhibits strong research potential with significant contributions to biomedical engineering, especially in regenerative medicine. Her technical expertise, publication record, and interdisciplinary skills make her a worthy candidate for the Best Researcher Award. However, pursuing further academic qualifications and increasing first-author contributions could strengthen her profile even more.

Publications Top Noted

Title: Electro-spun Piezoelectric PLLA Smart Composites as a Scaffold on Bone Fracture: A Review
Authors: Melika Mirghaffari, Asal Mahmoodiyan, Shahram Mahboubizadeh, Atefeh Shahbazi, Yaser Soleimani, Sana Mirghaffari, Zahra Shahravi
Year: 2025
Citation: Mirghaffari, M., Mahmoodiyan, A., Mahboubizadeh, S., Shahbazi, A., Soleimani, Y., Mirghaffari, S., & Shahravi, Z. (2025). Electro-spun piezoelectric PLLA smart composites as a scaffold on bone fracture: A review. Regenerative Therapy, 2025-03. DOI: 10.1016/j.reth.2025.01.026.

Junaid Khan | Engineering | Young Scientist Award

Posted on 13/02/202513/02/2025 by ScienceFather

Dr. Junaid Khan | Engineering | Young Scientist Award

Senior Engineer at Samsung Heavy Industry, South Korea

Dr. Junaid Khan is a distinguished researcher specializing in autonomous navigation systems, intelligent transportation, and deep learning applications. He earned his Ph.D. in Environmental IT Engineering from Chungnam National University, South Korea, focusing on enhancing Alpha-Beta filters with neural networks and fuzzy systems for maritime navigation. Currently, he serves as a Senior Engineer at the Autonomous Ship Research Center, Samsung Heavy Industries. Dr. Khan has made significant contributions to machine learning, maritime traffic analysis, and energy-efficient intelligent systems, reflected in his numerous high-impact journal publications and patents. His research has advanced predictive modeling techniques for vessel trajectory optimization, epileptic seizure detection, and energy consumption reduction. With a strong academic background, international collaborations, and expertise in large language models and digital twins, he continues to drive innovation in intelligent automation and smart mobility. His work bridges theoretical advancements with real-world applications, positioning him as a leading scientist in his field.

Professional Profile

Education

Dr. Junaid Khan holds a Ph.D. in Environmental IT Engineering from Chungnam National University, South Korea, where his research focused on enhancing Alpha-Beta filters using neural networks and fuzzy systems for improved maritime navigation. He earned his Master’s degree in Electrical Engineering from the University of Engineering and Technology (UET) Peshawar, Pakistan, specializing in machine learning and intelligent transportation systems. His academic journey laid a strong foundation in artificial intelligence, predictive modeling, and deep learning applications. Throughout his education, Dr. Khan actively engaged in interdisciplinary research, contributing to advancements in autonomous navigation, vessel trajectory optimization, and energy-efficient intelligent systems. His studies also involved extensive work in large language models, maritime traffic analysis, and epileptic seizure detection. With a solid educational background and hands-on experience in cutting-edge research, he has established himself as a leader in AI-driven smart mobility and autonomous systems, bridging theoretical knowledge with practical industry applications.

Professional Experience

Dr. Junaid Khan has extensive professional experience in artificial intelligence, autonomous navigation, and intelligent transportation systems. He is currently contributing to cutting-edge research in AI-driven smart mobility, focusing on vessel trajectory optimization, energy-efficient maritime navigation, and predictive modeling. His expertise spans deep learning, neural networks, and fuzzy logic, which he has applied to real-world problems in environmental IT engineering. Dr. Khan has worked on large-scale projects involving maritime traffic analysis, epileptic seizure detection, and autonomous system development. His industry collaborations and academic research have led to innovative solutions in smart transportation and AI-driven decision-making. Throughout his career, he has been actively involved in publishing high-impact research, mentoring students, and presenting at international conferences. With a strong technical background and hands-on experience in AI applications, Dr. Khan continues to push the boundaries of intelligent mobility, making significant contributions to both academia and industry.

Research Interest

Dr. Junaid Khan’s research interests lie at the intersection of artificial intelligence, autonomous navigation, and intelligent transportation systems. His work focuses on developing AI-driven solutions for smart mobility, including vessel trajectory optimization, energy-efficient maritime navigation, and predictive modeling for transportation networks. He is particularly interested in deep learning, neural networks, and fuzzy logic, applying these techniques to real-world challenges such as maritime traffic analysis, epileptic seizure detection, and autonomous system development. Dr. Khan’s research also explores environmental IT engineering, leveraging AI to enhance sustainability in transportation and logistics. His contributions extend to the design of intelligent decision-making systems that improve safety, efficiency, and energy conservation in autonomous vehicles. With a keen interest in interdisciplinary collaboration, he actively engages in projects that bridge AI with healthcare, maritime operations, and smart city development. Through his research, Dr. Khan aims to advance AI applications in real-world, high-impact domains.

Award and Honor

Dr. Junaid Khan has received numerous awards and honors in recognition of his outstanding contributions to artificial intelligence, autonomous navigation, and intelligent transportation systems. He has been honored with prestigious research grants and fellowships for his innovative work in AI-driven solutions for smart mobility. His contributions to vessel trajectory optimization, deep learning applications, and predictive modeling have earned him accolades from leading academic and professional organizations. Dr. Khan has also been recognized for his exceptional scholarly output, receiving awards for best research papers at international conferences. His work in interdisciplinary research, spanning maritime navigation, healthcare AI, and sustainable transportation, has been acknowledged by esteemed institutions and funding agencies. Additionally, he has been invited as a keynote speaker and session chair at various scientific gatherings, further solidifying his reputation as a leader in his field. Through these honors, Dr. Khan continues to be recognized for his pioneering contributions to AI and intelligent systems.

Research Skill

Dr. Junaid Khan’s research interests lie at the intersection of artificial intelligence, machine learning, and intelligent transportation systems, with a strong focus on autonomous navigation, vessel trajectory optimization, and predictive analytics. His work explores deep learning algorithms, reinforcement learning, and data-driven models to enhance decision-making in maritime and land-based transportation networks. He is particularly interested in developing AI-driven solutions for optimizing vessel routing, minimizing fuel consumption, and improving safety in smart mobility systems. Dr. Khan’s research also extends to healthcare applications, where he leverages machine learning techniques for medical diagnostics and predictive modeling. His interdisciplinary approach integrates AI with real-world challenges, aiming to create sustainable and efficient solutions for global transportation and healthcare industries. With a keen interest in the ethical implications of AI, he also investigates fairness, interpretability, and transparency in automated decision-making systems, ensuring that AI advancements align with societal and industrial needs.

Conclusion

Junaid Khan, Ph.D., is a strong candidate for the Young Scientist Award due to his impressive research contributions, patents, and industry experience. His work in machine learning, maritime navigation, and intelligent transportation systems showcases innovation and impact. Strengthening independent recognition and leadership roles in research projects could further enhance his suitability. Overall, he is a competitive nominee for this award.

Publications Top Noted

A higher prediction accuracy–based alpha–beta filter algorithm using the feedforward artificial neural network
- Authors: J Khan, E Lee, K Kim
- Year: 2023
- Citations: 68
A comprehensive review of conventional, machine learning, and deep learning models for groundwater level (GWL) forecasting
- Authors: J Khan, E Lee, AS Balobaid, K Kim
- Year: 2023
- Citations: 48
An improved alpha beta filter using a deep extreme learning machine
- Authors: J Khan, M Fayaz, A Hussain, S Khalid, WK Mashwani, J Gwak
- Year: 2021
- Citations: 25
Secure and fast image encryption algorithm based on modified logistic map
- Authors: M Riaz, H Dilpazir, S Naseer, H Mahmood, A Anwar, J Khan, IB Benitez, …
- Year: 2024
- Citations: 14
An efficient feature augmentation and LSTM-based method to predict maritime traffic conditions
- Authors: E Lee, J Khan, WJ Son, K Kim
- Year: 2023
- Citations: 14
A performance evaluation of the alpha-beta (α-β) filter algorithm with different learning models: DBN, DELM, and SVM
- Authors: J Khan, K Kim
- Year: 2022
- Citations: 14
An efficient methodology for water supply pipeline risk index prediction for avoiding accidental losses
- Authors: MS Qureshi, A Aljarbouh, M Fayaz, MB Qureshi, WK Mashwani, J Khan
- Year: 2020
- Citations: 10
Optimizing the performance of Kalman filter and alpha-beta filter algorithms through neural network
- Authors: J Khan, E Lee, K Kim
- Year: 2023
- Citations: 5
A Performance Evaluation of the AlphaBeta filter Algorithm with different Learning Modules ANN, DELM, CART and SVM
- Authors: KK Junaid Khan
- Year: 2022
- Citations: 5*
Synthetic Maritime Traffic Generation System for Performance Verification of Maritime Autonomous Surface Ships

Authors: E Lee, J Khan, U Zaman, J Ku, S Kim, K Kim
Year: 2024
Citations: 4

Jawad Ali | Engineering | Best Researcher Award

Posted on 12/02/202512/02/2025 by ScienceFather

Mr. Jawad Ali | Engineering | Best Researcher Award

Ph.D. Researcher at High Frequency Systems Laboratory, King Mongkut’s University of Technology North Bangkok, Bangkok 10800, Thailand

Mr. Jawad Ali is a dedicated researcher specializing in electrical engineering, IoT, and antenna design, with a strong academic background and extensive international exposure. He holds a Ph.D. in Electrical and Software Systems Engineering from King Mongkut’s University of Technology North Bangkok, along with a Master’s in Electrical Engineering (CPA 4.00/4.00) from UTHM Malaysia. His research focuses on IoT-based localization, RF and microwave systems, and biomedical applications, with collaborations at Trinity College Dublin, UTHM, and COMSATS University. Recognized with multiple awards, including the IEEE AP-S Fellowship Grant and Malaysia Technology Expo medals, he has contributed to academia through teaching and mentoring roles. His technical expertise spans antenna fabrication, MATLAB, and RF measurements. As an IEEE and Pakistan Engineering Council member, he continues to advance research through international collaborations and industrial projects. With a strong research portfolio and global impact, he is a highly suitable candidate for the Best Researcher Award.

Professional Profile

Education

Mr. Jawad Ali has a strong academic background in electrical engineering, specializing in RF, microwave, and IoT-based systems. He is currently completing his Ph.D. in Electrical and Software Systems Engineering at King Mongkut’s University of Technology North Bangkok, where he defended his dissertation with a Grade A. His doctoral research focuses on IoT-based localization of people and objects for the MICE industry. He earned his Master’s degree in Electrical Engineering from Universiti Tun Hussein Onn Malaysia (UTHM) with a perfect CPA of 4.00/4.00, researching ultra-wideband antenna arrays for human scanning under debris. His undergraduate studies were completed through a collaborative program between COMSATS University Islamabad and Lancaster University, UK, where he obtained a Bachelor’s degree in Electrical (Telecommunication) Engineering with First-Class Honours. His academic journey is marked by excellence, international exposure, and contributions to cutting-edge research, making him a distinguished scholar in his field.

Professional Experience

Mr. Jawad Ali has a diverse professional background spanning academia, research, and industry. He currently serves as a Visiting Lecturer at Khwaja Fareed University of Engineering and Information Technology, Pakistan. Previously, he was a Ph.D. Researcher at Trinity College Dublin, contributing to IoT-based localization research. As a Teaching Assistant at King Mongkut’s University of Technology North Bangkok, he worked on RF and microwave engineering projects for MuSpace and PTT Thailand. His tenure at COMSATS University Islamabad as a Laboratory Engineer involved research, academic coordination, and industrial collaborations. Additionally, he worked as a Graduate Research Assistant at UTHM Malaysia, assisting with student research and thesis projects. His early career included a role as a Junior System Support Engineer at HB Media (PVT) Capital TV, handling broadcast engineering operations. With expertise in RF measurements, IoT, and antenna design, he has significantly contributed to both academia and industry.

Research Interest

Mr. Jawad Ali’s research interests lie at the intersection of electrical engineering, RF and microwave systems, IoT, and antenna design. His work focuses on developing advanced localization techniques using multi-standard IoT for applications in the Meetings, Incentives, Conventions, and Exhibitions (MICE) industry. He has a strong background in ultra-wideband (UWB) antenna design, biomedical applications, and radar-based human scanning under debris. His research extends to environmentally friendly antenna materials, ground-penetrating radar for soil scanning, and microstrip line designs using cellulose-based substrates. Collaborating with institutions like Trinity College Dublin, UTHM Malaysia, and COMSATS University Islamabad, he actively contributes to cutting-edge innovations in wireless communications and electromagnetic applications. His expertise in RF measurements, simulation tools like CST Studio Suite and HFSS, and his commitment to advancing antenna technology position him as a leading researcher in the field, with significant contributions to both academia and industry-driven projects.

Award and Honor

Mr. Jawad Ali has received numerous awards and honors in recognition of his outstanding research contributions and academic excellence. He was awarded the Bronze Medal at the Malaysia Technology Expo MARS (2018) and the Research and Innovation Festival (2017) for his innovative work in electrical engineering. His exceptional performance during his Master’s studies earned him the Graduate on Time (GoT) Award and a Publication Award from Universiti Tun Hussein Onn Malaysia (UTHM). He was also a recipient of the prestigious UTHM Scholarship Award. His research productivity was acknowledged by COMSATS University Islamabad, where he received the Research Productivity Award. Additionally, he was selected for a fully funded study visit to the University of Lancaster, UK. His work has been further supported by major grants, including the IEEE Antennas and Propagation Society Fellowship, IDS Ingegneria Dei Sistemi Grant, and NSTDA-KMUTNB Thailand Gold Medal Scholarship, highlighting his dedication to scientific advancement.

Research Skill

Mr. Jawad Ali possesses strong research skills in the fields of electrical engineering, RF and microwave systems, and IoT-based localization technologies. He is highly proficient in antenna design, microwave circuit fabrication, and RF measurements, enabling him to develop innovative solutions for communication and sensing applications. His expertise extends to advanced simulation and design tools such as CST Studio Suite, HFSS, and Microwave Office, which he utilizes for optimizing antenna and radar system performance. He is skilled in programming with MATLAB and C/C++ for signal processing and data analysis. His research methodology is strengthened by hands-on experience in industrial projects, including RF far-field measurements and liquid resonance studies. His ability to collaborate with international research groups, secure funding, and publish in high-impact journals demonstrates his analytical thinking, problem-solving capabilities, and commitment to advancing technological innovations in wireless communication and electromagnetic applications.

Conclusion

Jawad Ali has a strong academic, research, and professional profile, making him a highly suitable candidate for the Best Researcher Award. His contributions in antenna design, IoT-based localization, and RF engineering are significant. To further strengthen his candidacy, he should focus on publishing in high-impact journals, securing major research leadership roles, and expanding global collaborations. With his technical expertise, international exposure, and innovative contributions, he stands out as a competitive nominee for this award.

Publications Top Noted

Metasurface-Loaded Biodegradable Mobile Phone Back Cover for Enhanced Radiation Performance
- Authors: Juin Acharjee, Jawad Ali, Muhammad Uzair, Thipamas Phakaew, Prayoot Akkaraekthalin, Yaowaret Maiket, Rungsima Yeetsorn, Suramate Chalermwisutkul
- Year: 2025
- DOI: 10.3390/ma18040730
Low-Cost Indoor Localization Using Dual-Chip RFID Tag
- Authors: Jawad Ali, Kamol Kaemarungsi, Thipamas Phakaew, Muhammad Uzair, Adam Narbudowicz, Suramate Chalermwisutkul
- Year: 2024
- DOI: 10.1109/OJAP.2024.3372030
Enhancement of Radio Frequency Identification Coverage for Various Indoor Scenarios Using Diversified Radiation Patterns of Tag and Reader Antennas
- Authors: Jawad Ali, Kamol Kaemarungsi, Pisit Janpangngern, Chuwong Phongcharoenpanich, Suramate Chalermwisutkul
- Year: 2024
- DOI: 10.22541/au.172479949.96581290/v1
Dual-Chip RFID Tag for Enhanced Indoor Localization of IoT Assets
- Authors: Jawad Ali, Adam Narbudowicz, Kamol Kaemarungsi, Suramate Chalermwisutkul
- Year: 2023
- DOI: 10.23919/eucap57121.2023.10132990
Optimization of Planar Capacitive Sensors Embedded Between Two 6mm Thick Glass Sheets
- Authors: Ramsha Qayyum, Su Mon Tun, Apichart Kaewcharoen, Jawad Ali, Suramate Chalermwisutkul
- Year: 2022
- DOI: 10.1109/ICPEI55293.2022.9986555
Post-Design Modifications for Impedance Matching of UHF RFID Tag Antenna
- Authors: Jawad Ali, Kamol Kaemarungsi, Suramate Chalermwisutkul
- Year: 2022
- DOI: 10.1109/icpei55293.2022.9987164
Dual-Chip UHF RFID Tag Antenna for Distinction of Movement Directions
- Authors: Jawad Ali
- Year: 2022
- DOI: 10.1109/ecti-con54298.2022.9795452
Modeling and Design of Enhanced All Optical Signal Regeneration Technique
- Authors: B. Das, M.F.L. Abdullah, F.A. Dharejo, F. Deeba, J. Ali, K.A. Memon, Y. Zhou
- Year: 2021
- DOI: 10.1016/j.ijleo.2021.166696
Antenna Design Using UWB Configuration for GPR Scanning Applications
- Authors: J. Ali, N. Abdullah, A.A. Khan, R. Yahya, M. Jusoh, E. Mohd
- Year: 2020
- DOI: 10.1007/978-3-030-33582-3_47
Design a Compact Square Ring Patch Antenna with AMC for SAR Reduction in WBAN Applications

Authors: Jawad Ali
Year: 2020
DOI: 10.11591/EEI.V9I1.1686