Š‘Š°Šŗыт Š”ыŠ·Š“ыŠŗŠ±Š°ŠµŠ²Š° | Economics, Econometrics and Finance | Best Researcher Award

Prof. Dr. Š‘Š°Šŗыт Š”ыŠ·Š“ыŠŗŠ±Š°ŠµŠ²Š° | Economics, Econometrics and Finance | Best Researcher Award

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 ProfileĀ 

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 Kazakhstanā€™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: ŠžŃ†ŠµŠ½ŠŗŠ° эффŠµŠŗтŠøŠ²Š½Š¾ŃŃ‚Šø рŠ°Š·Š²ŠøтŠøя трŠ°Š½ŃŠæŠ¾Ń€Ń‚Š½Š¾-Š»Š¾Š³ŠøстŠøчŠµŃŠŗŠ¾Š³Š¾ ŠæŠ¾Ń‚ŠµŠ½Ń†ŠøŠ°Š»Š° рŠµŠ³ŠøŠ¾Š½Š¾Š² ŠšŠ°Š·Š°Ń…стŠ°Š½Š°
    Authors: Š‘. Š”ыŠ·Š“ыŠŗŠ±Š°ŠµŠ²Š°, Š–. Š Š°ŠøŠ¼Š±ŠµŠŗŠ¾Š², Š‘. Š–ŃƒŠ¼Š°Ń‚Š°ŠµŠ²Š°
    Year: 2015
    Citations: 13

  • Title: Š¢Ń€Š°Š½ŃŠæŠ¾Ń€Ń‚Š½Š¾-Š»Š¾Š³ŠøстŠøчŠµŃŠŗŠ°Ń сŠøстŠµŠ¼Š° ŠšŠ°Š·Š°Ń…стŠ°Š½Š°: Š¼ŠµŃ…Š°Š½ŠøŠ·Š¼Ń‹ фŠ¾Ń€Š¼ŠøрŠ¾Š²Š°Š½Šøя Šø рŠ°Š·Š²ŠøтŠøя. ŠœŠ¾Š½Š¾Š³Ń€Š°Ń„Šøя
    Authors: Š‘.Š£. Š”ыŠ·Š“ыŠŗŠ±Š°ŠµŠ²Š°, Š–.Š”. Š Š°ŠøŠ¼Š±ŠµŠŗŠ¾Š²
    Year: 2015
    Citations: 11

  • Title: ŠœŠµŃ‚Š¾Š“Š¾Š»Š¾Š³Šøя фŠ¾Ń€Š¼ŠøрŠ¾Š²Š°Š½Šøя Šø рŠ°Š·Š²ŠøтŠøя ŠøŠ½Ń‚ŠµŠ³Ń€ŠøрŠ¾Š²Š°Š½Š½Š¾Š¹ трŠ°Š½ŃŠæŠ¾Ń€Ń‚Š½Š¾-Š»Š¾Š³ŠøстŠøчŠµŃŠŗŠ¾Š¹ сŠøстŠµŠ¼Ń‹ ŠšŠ°Š·Š°Ń…стŠ°Š½Š°
    Authors: Š‘.Š£. Š”ыŠ·Š“ыŠŗŠ±Š°ŠµŠ²Š°
    Year: 2010
    Citations: Not provided

  • ŠžŃ†ŠµŠ½ŠŗŠ° эффŠµŠŗтŠøŠ²Š½Š¾ŃŃ‚Šø рŠ°Š·Š²ŠøтŠøя трŠ°Š½ŃŠæŠ¾Ń€Ń‚Š½Š¾-Š»Š¾Š³ŠøстŠøчŠµŃŠŗŠ¾Š³Š¾ ŠæŠ¾Ń‚ŠµŠ½Ń†ŠøŠ°Š»Š° рŠµŠ³ŠøŠ¾Š½Š¾Š² ŠšŠ°Š·Š°Ń…стŠ°Š½Š°
    Authors: Š‘. Š”ыŠ·Š“ыŠŗŠ±Š°ŠµŠ²Š°, Š–. Š Š°ŠøŠ¼Š±ŠµŠŗŠ¾Š², Š”. Š. Š”ŠµŠ¹Š“уŠ°Š»ŠøŠ½
    Year: 2012
    Citation: 8

  • Title: Š Š¾Š»ŃŒ Š³Š¾ŃŃƒŠ“Š°Ń€ŃŃ‚Š²Š° Š² рŠ°Š·Š²ŠøтŠøŠø Šø рŠµŠ³ŃƒŠ»ŠøрŠ¾Š²Š°Š½ŠøŠø Š»Š¾Š³ŠøстŠøчŠµŃŠŗŠøх ŠæрŠ¾Ń†ŠµŃŃŠ¾Š²
    Authors: Š–.Š”. Š Š°ŠøŠ¼Š±ŠµŠŗŠ¾Š², Š‘.Š£. Š”ыŠ·Š“ыŠŗŠ±Š°ŠµŠ²Š°, Š•. ŠŠ¼ŠøрŠ±ŠµŠŗуŠ»Ń‹
    Year: 2017
    Citations: 6

  • Title: ŠžŃ€Š³Š°Š½ŠøŠ·Š°Ń†Šøя-Š“Ń€ŃƒŠ·Š¾Š²Ń‹Ń… ŠæŠµŃ€ŠµŠ²Š¾Š·Š¾Šŗ Š² сŠøстŠµŠ¼Šµ Š³Š¾Ń€Š¾Š“сŠŗŠ¾Š¹ Š»Š¾Š³ŠøстŠøŠŗŠø тŠ¾Š²Š°Ń€Š¾Š“Š²ŠøŠ¶ŠµŠ½Šøя: Š·Š°Ń€ŃƒŠ±ŠµŠ¶Š½Ń‹Š¹ Š¾Šæыт
    Authors: Š‘.Š£. Š”ыŠ·Š“ыŠŗŠ±Š°ŠµŠ²Š°, Š–.Š”. Š Š°ŠøŠ¼Š±ŠµŠŗŠ¾Š², Š”.Š. Š”ŠµŠ¹Š“уŠ°Š»ŠøŠ½
    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: ŠœŠµŃ‚Š¾Š“ŠøчŠµŃŠŗŠøŠµ Š¾ŃŠ½Š¾Š²Ń‹ фŠ¾Ń€Š¼ŠøрŠ¾Š²Š°Š½Šøя Šø рŠ°Š·Š²ŠøтŠøя ŠµŠ“ŠøŠ½Š¾Š¹ трŠ°Š½ŃŠæŠ¾Ń€Ń‚Š½Š¾-Š»Š¾Š³ŠøстŠøчŠµŃŠŗŠ¾Š¹ сŠøстŠµŠ¼Ń‹ ŠšŠ°Š·Š°Ń…стŠ°Š½Š°
    Authors: Š‘.Š£. Š”ыŠ·Š“ыŠŗŠ±Š°ŠµŠ²Š°, Š–.Š”. Š Š°ŠøŠ¼Š±ŠµŠŗŠ¾Š²
    Year: 2010
    Citations: 5

  • Title: Š­ŠŗŠ¾Š½Š¾Š¼ŠøчŠµŃŠŗŠ°Ń эффŠµŠŗтŠøŠ²Š½Š¾ŃŃ‚ŃŒ Šø сŠ¾ŃŃ‚Š°Š² Š»Š¾Š³ŠøстŠøчŠµŃŠŗŠ¾Š¹ ŠøŠ½Ń„Ń€Š°ŃŃ‚Ń€ŃƒŠŗтуры ŠšŠ°Š·Š°Ń…стŠ°Š½Š°
    Authors: Š–.Š”. Š Š°ŠøŠ¼Š±ŠµŠŗŠ¾Š², Š‘.Š£. Š”ыŠ·Š“ыŠŗŠ±Š°ŠµŠ²Š°, Š‘.Š. Š–ŃƒŠ¼Š°Ń‚Š°ŠµŠ²Š°, Šš.Š. Š¢Š°ŃŃ‚Š°Š½Š±ŠµŠŗŠ¾Š²Š°
    Year: 2014
    Citations: 5

  • Title: ŠœŠµŃ‚Š¾Š“ы Š¾Ń†ŠµŠ½ŠŗŠø эффŠµŠŗтŠøŠ²Š½Š¾ŃŃ‚Šø трŠ°Š½ŃŠæŠ¾Ń€Ń‚Š½Š¾-Š»Š¾Š³ŠøстŠøчŠµŃŠŗŠ¾Š¹ ŠøŠ½Ń„Ń€Š°ŃŃ‚Ń€ŃƒŠŗтуры
    Authors: Š‘.Š£. Š”ыŠ·Š“ыŠŗŠ±Š°ŠµŠ²Š°
    Year: 2014
    Citation: 5

Jyoti Katyal | Physics and Astronomy | Best Researcher Award

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 ProfileĀ 

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 Masterā€™s and Bachelorā€™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 Lumericalā€™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 Lumericalā€™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 Katyalā€™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), 1717ā€“1728.
  • Katyal, J., & Soni, R.K. (2014). Localized surface plasmon resonance and refractive index sensitivity of metalā€“dielectricā€“metal multilayered nanostructures. Plasmonics, 9, 1171ā€“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, 5012ā€“5017.
  • Katyal, J., & Soni, R.K. (2015). Field enhancement around Al nanostructures in the DUVā€“visible region. Plasmonics, 10, 1729ā€“1740.
  • Katyal, J. (2018). Plasmonic coupling in Au, Ag and Al nanosphere homo-dimers for sensing and SERS. Advanced Electromagnetics, 7(2), 83ā€“90.
  • Katyal, J. (2019). Comparison of localised surface plasmon resonance and refractive index sensitivity for metallic nanostructures. Materials Today: Proceedings, 18, 613ā€“622.
  • Faujdar, S., Pathania, P., & Katyal, J. (2022). Systematic investigation of transition metal nitrides (ZrN, TiN) based plasmonic multilayered coreā€“shell nanoparticle for sensing. Materials Today: Proceedings, 57, 2295ā€“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), 2235ā€“2245.
  • Katyal, J. (2020). Al-Au heterogeneous dimerā€“trimer nanostructure for SERS. Nanoscience & Nanotechnology-Asia, 10(1), 21ā€“28.
  • Katyal, J. (2019). Comparative Study Between Different Plasmonic Materials and Nanostructures for Sensor and SERS Application. In Reviews in Plasmonics (pp. 77ā€“108).
  • Sharma, C., Katyal, J., & Singh, R. (2023). Aluminum Nano Stars with Localized Surface Plasmon Resonance and Field Enhancement. Nanoscience & Nanotechnology-Asia, 13(4), 57ā€“64.
  • Sharma, C., Katyal, J., & Singh, R. (2023). Plasmon Tunability and Field Enhancement of Gold Nanostar. Nanoscience & Nanotechnology-Asia, 13(3), 13ā€“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, 1ā€“11.
  • Katyal, J. (2022). Plasmonic Properties of Al2O3 Nanoshell with a Metallic Core. Micro and Nanosystems, 14(3), 243ā€“249.

Bimal Kumar Dora | Engineering | Best Researcher Award

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. Doraā€™s interdisciplinary approach and commitment to solving complex energy problems make him a promising candidate for future advancements in sustainable power systems.

Professional ProfileĀ 

Education

Bimal Kumar Doraā€™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 Bachelorā€™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 Doraā€™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. Doraā€™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 Doraā€™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 techniquesā€”such as the Exchange Market based Butterfly Optimization Algorithmā€”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

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 ProfileĀ 

Education

Mrs. Radhika Khannaā€™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 2010ā€“2011. Building on this strong foundation, she pursued her HSC at Bhavans SL Public School, Amritsar in 2012ā€“2013, securing an impressive 84%. She then obtained her Bachelor of Science in Medical from S.R. Government College, Amritsar (2013ā€“2016), followed by a Master of Science in Chemistry from Khalsa College, Amritsar (2016ā€“2018). Demonstrating a passion for teaching alongside scientific inquiry, she completed her B.Ed in Science at M.L.M College, Amritsar (2018ā€“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 (2017ā€“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 Khannaā€™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 improvementsā€”especially in fostering collaborations, enhancing her publication profile, and strengthening grant acquisitionā€”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 ā€“ [Further citation details not provided].

Mohammad Mahdi Ochi | Engineering | Best Researcher Award

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. Ochiā€™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 ProfileĀ 

Education

Dr. Mohammad Mahdi Ochiā€™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 Tehranā€™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 Ochiā€™s professional journey reflects a robust blend of academic and research excellence. Currently serving as an assistant professor at the University of Tehranā€™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 Ochiā€™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. Ochiā€™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 Ochiā€™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. Ochiā€™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

Junaid Khan | Engineering | Young Scientist Award

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 ProfileĀ 

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. Khanā€™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

  1. A higher prediction accuracyā€“based alphaā€“beta filter algorithm using the feedforward artificial neural network

    • Authors: J Khan, E Lee, K Kim
    • Year: 2023
    • Citations: 68
  2. 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
  3. 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
  4. 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
  5. 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
  6. A performance evaluation of the alpha-beta (Ī±-Ī²) filter algorithm with different learning models: DBN, DELM, and SVM

    • Authors: J Khan, K Kim
    • Year: 2022
    • Citations: 14
  7. 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
  8. 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
  9. 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*
  10. 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

Yibo Ding | Engineering | Best Researcher Award

Assoc.Prof.Dr.Yibo Ding | Engineering | Best Researcher Award

Associate professor atNorthwestern Polytechnical University, China

Dr. Yibo Ding is an Associate Professor at Northwestern Polytechnical University, specializing in aerospace guidance and control. With a Ph.D. in aeronautical and astronautical science from Harbin Institute of Technology, he has dedicated his research to cooperative game guidance and multi-constraint adaptive control of hypersonic vehicles. He has led over 20 research projects, including national-level initiatives, and collaborated with key aerospace institutions in China. His contributions include innovative guidance algorithms, high-precision self-learning control technologies, and the development of national standards. Dr. Ding has published over 30 academic papers, authored two books, and holds 12 patents. His research has been recognized by esteemed academicians and has had significant applications in aerospace engineering and defense technology. With multiple awards, editorial appointments, and international presentations, he stands out as a leading researcher in his field, making him a strong candidate for the Best Researcher Award.

Professional Profile

Education

Dr. Yibo Ding earned his B.S. degree in Aircraft Design and Engineering and his Ph.D. in Aeronautical and Astronautical Science and Technology from Harbin Institute of Technology, China, in 2015 and 2020, respectively. His academic training provided a strong foundation in aerospace engineering, with a focus on advanced guidance and control systems for hypersonic vehicles. His doctoral research emphasized intelligent cooperative game guidance and adaptive control, addressing key challenges in aerospace flight dynamics. With his rigorous education and specialized expertise, Dr. Ding has emerged as a leading researcher in aerospace engineering, contributing significantly to flight safety, optimal flight performance, and national defense technology.

Professional Experience

Since 2020, Dr. Yibo Ding has been serving as an Associate Professor at Northwestern Polytechnical University, Xiā€™an, China, where he is affiliated with the National Key Laboratory of Aerospace Flight Dynamics Technology. He is a core member of the “Innovation Team of Sanqin Special Support Program for Talents” and actively contributes to aerospace research and development. He holds various prestigious roles, including Director of the Shaanxi Vibration Engineering Society and an expert for the Xiā€™an Science and Technology Bureau. Recognized as a Young Top Talent under the Shaanxi Special Support Program, he has also been selected for the China Association for Science and Technology Young Talent Lift Project and the Northwest Polytechnical University Soaring Star Program. His research focuses on cooperative game guidance and multi-constraint adaptive control for hypersonic vehicles, aiming to enhance flight safety and optimize performance. Additionally, he collaborates closely with key aerospace research institutes, contributing to national defense projects and cutting-edge aerospace technology.

Research Interest

Dr. Yibo Ding’s research interests primarily focus on aerospace guidance and control, with a particular emphasis on cooperative game guidance and multi-constraint adaptive control for hypersonic vehicles. His work aims to enhance flight safety, optimize flight performance, and support the future development of aerospace aircraft technology. He specializes in intelligent cooperative game guidance under threat assessment, designing advanced algorithms that improve aircraft maneuverability in high-threat environments. Additionally, his research addresses critical challenges such as intake constraints, flight transient constraints, aerodynamic-propulsion coupling, and strong system uncertainties in hypersonic vehicles. By developing high-precision self-learning control technologies, including fixed-time anti-saturation compensation algorithms and adaptive parameter tuning methods, he contributes to ensuring stable and efficient aerospace flight dynamics. His research findings have significant applications in national defense and future aerospace missions, advancing the capabilities of next-generation aerospace vehicles.

Award and Honor

Dr. Yibo Ding has received several prestigious awards and honors in recognition of his outstanding contributions to aerospace research and innovation. He was selected as a Young Top Talent under the Shaanxi Special Support Program and was also recognized by the China Association for Science and Technology’s Young Talent Lift Project. Additionally, he was honored as a Soaring Star at Northwestern Polytechnical University. His research excellence has been acknowledged through the Excellent Paper Award at the China Commercial Space Summit Forum in 2023. He has also played a significant role in national defense projects, where his contributions were recognized at the national level for ensuring the successful execution of key aerospace missions. His work has received high praise from leading academicians and scholars, further solidifying his reputation as a distinguished researcher in aerospace guidance and control.

Conclusion

Given his strong research output, industry collaborations, patents, and contributions to aerospace engineering, Yibo Ding is a strong candidate for the Best Researcher Award. While he has areas for growth, particularly in international visibility and industry application, his achievements make him highly deserving of recognition in his field.

Publications Top Noted

  • Title: Prospective cohort studies underscore the association of abnormal glycemic measures with all-cause and cause-specific mortalities
    Authors: Juzhong Ke, Xiaonan Ruan, Wenbin Liu, Zhitao Li, Guangwen Cao
    Year: 2024
    Citations: 0
  • Title: Trends in disease burden and risk factors of asthma from 1990 to 2019 in Belt and Road Initiative countries: evidence from the Global Burden of Disease Study 2019
    Authors: Wenjing Ye, Xue Xu, Yibo Ding, Xiaopan Li, Wen Gu
    Year: 2024
    Citations: 0
  • Title: Smoke and Spike: Benzo[a]pyrene Enhances SARS-CoV-2 Infection by Boosting NR4A2-Induced ACE2 and TMPRSS2 Expression
    Authors: Wenbin Liu, Yue Zhao, Junyan Fan, Xiaojie Tan, Guangwen Cao
    Year: 2023
    Citations: 1
  • Title: Remote detection device for bioaerosol: research progress
    Authors: Letian Fang, Wenbin Liu, Yibo Ding, Guangwen Cao
    Year: 2023
    Citations: 0