Izhar Ahmed | Engineering | Research Excellence Award

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Mr. Izhar Ahmed | Engineering | Research Excellence Award

Institute of geology and Geophysics, CAS | China

Mr. Izhar Ahmed is a geoscientist at the University of Chinese Academy of Sciences, Beijing, China, specializing in geomechanics, fault zone characterization, and tectonic processes. His research focuses on understanding the mechanical behavior of fault damage zones, particularly in the active Himalayas of Northern Pakistan, providing critical insights into rock strength, seismic hazards, and earthquake risk mitigation. To date, he has authored six peer-reviewed publications, which have garnered 36 citations, reflecting the significance of his contributions in Earth sciences. Dr. Ahmed has collaborated with 19 international researchers, fostering interdisciplinary studies that integrate field investigations, laboratory analyses, and computational modeling. His work has practical implications for infrastructure safety, natural hazard assessment, and geotechnical engineering in seismically active regions. Through rigorous research and global collaborations, Dr. Ahmed continues to advance knowledge in geomechanics and tectonics, demonstrating both scientific excellence and societal relevance in addressing complex geological challenges.

Citation Metrics (Scopus)

36

25

15

5

0

Citations

36

Documents

6

h-index

3

Citations

Documents

h-index

View Scopus Profile View ORCID Profile

Featured Publications

Mohammed Alenazi | Computer Engineering | Best Researcher Award

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Mr. Mohammed Alenazi | Computer Engineering | Best Researcher Award

Assistant Professor | University of Tabuk | Saudi Arabia

Mr. Mohammed M. Alenazi is an accomplished academic and researcher with expertise in electrical and electronics engineering, computer engineering, and artificial intelligence applications in energy-efficient networks. He earned his Ph.D. in Electrical and Electronics Engineering from the University of Leeds, UK (2018–2022), focusing on energy efficiency in AI-powered communication systems. Prior to this, he completed his M.Eng. in Computer Engineering at Florida Institute of Technology, USA (2016–2017), and a B.Eng. in Computer Engineering from University Sultan Bin Fahad (2007–2011), along with an Associate’s degree in Electrical/Electronics Equipment Installation and Repair from Tabuk College of Technology (2002–2004). Professionally, Mr. Alenazi began his career as a Senior Engineer at Saudi Telecom Company (2006–2011), where he gained practical experience in optical fiber networks, before transitioning to academia as a Teaching Assistant at Northern Border University (2012–2013) and later at the University of Tabuk, where he continues to serve since 2013, eventually advancing into an assistant professorship. His research interests include machine learning, IoT networks, energy optimization, and intelligent systems, with key contributions in developing models for energy-efficient ML-based service placement, neural network embedding in IoT, and intelligent sterilization systems, reflected in several IEEE and Scopus-indexed publications. In addition to publications, he has contributed innovative patents, such as systems for vehicle communication during accidents. His research skills encompass advanced AI modeling, simulation of communication networks, and interdisciplinary problem-solving in sustainable technologies. Mr. Alenazi is an active member of IEEE, AAAI (USA), AISB (UK), PMI, and the Saudi Council of Engineers, and he holds prestigious certifications including CCNA, CompTIA Security+ CE, and PMP. He has consistently demonstrated leadership in academia and professional communities, bridging industry and research while mentoring students. With a growing academic profile of 28 citations, 7 documents, and an h-index of 3, he is well-positioned for continued impact and recognition in his field.

Profiles: Google Scholar | Scopus | ORCID  | ResearchGate

Featured Publications

  1. Alenazi, M. M., Yosuf, B. A., El-Gorashi, T., & Elmirghani, J. M. H. (2020). Energy efficient neural network embedding in IoT over passive optical networks. 2020 22nd International Conference on Transparent Optical Networks (ICTON), 1–6. Cited by: 13

  2. Yosuf, B. A., Mohamed, S. H., Alenazi, M. M., El-Gorashi, T. E. H., & Elmirghani, J. M. H. (2021). Energy-efficient AI over a virtualized cloud fog network. Proceedings of the Twelfth ACM International Conference on Future Energy Systems. Cited by: 11

  3. Alenazi, M. M., Yosuf, B. A., Mohamed, S. H., El-Gorashi, T. E. H., & Elmirghani, J. M. H. (2021). Energy-efficient distributed machine learning in cloud fog networks. 2021 IEEE 7th World Forum on Internet of Things (WF-IoT), 935–941. Cited by: 9

  4. Banga, A. S., Alenazi, M. M., Innab, N., Alohali, M., Alhomayani, F. M., Algarni, M. H., & others. (2024). Remote cardiac system monitoring using 6G-IoT communication and deep learning. Wireless Personal Communications, 136(1), 123–142. Cited by: 4

  5. Alenazi, M. M., Yosuf, B. A., Mohamed, S. H., El-Gorashi, T. E. H., & Elmirghani, J. M. H. (2022). Energy efficient placement of ML-based services in IoT networks. 2022 IEEE International Mediterranean Conference on Communications and Networking (MeditCom). Cited by: 4

Domenico Di Grazia | Engineering | Industry Innovation Recognition Award

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Dr. Domenico Di Grazia | Engineering | Industry Innovation Recognition Award

Principal Engineer at STMicroelectronics, Italy

Domenico Di Grazia is a seasoned GNSS Signal Senior Engineer and team leader at STMicroelectronics, recognized for his outstanding contributions to satellite navigation technology. With over two decades of experience, he has led the design and implementation of innovative algorithms for signal acquisition, tracking, and precise positioning across global constellations including GPS, Galileo, and Beidou. He holds several U.S. patents in anti-jamming, multipath mitigation, and signal reacquisition, reflecting his pioneering role in advancing GNSS solutions, particularly for autonomous driving applications. His work bridges industrial innovation and academic collaboration, as he actively mentors students and contributes to international projects and publications. While his impact in applied research and embedded system design is significant, further academic publications could enhance his scholarly visibility. Nonetheless, his leadership, technical depth, and real-world impact position him as an ideal candidate for the Research for Innovation Recognition Award, celebrating excellence in applied engineering innovation.

Professional Profile 

Education🎓

Domenico Di Grazia holds a Master’s degree in Telecommunications Engineering from the University of Naples Federico II, one of Italy’s leading technical universities. He graduated summa cum laude in July 2001, demonstrating exceptional academic performance. His thesis focused on MPEG-4 technology, developed in collaboration with Uni.Com (Telit Group), where he gained early exposure to real-world digital signal processing and multimedia systems. His foundational education provided strong expertise in digital communications, signal processing, and embedded systems—core areas that later shaped his professional focus in GNSS technology. Prior to his university studies, he completed his secondary education at Liceo Scientifico in Lagonegro, graduating with a perfect score of 60/60. Throughout his academic journey, Domenico showed a strong inclination toward innovation and research, which has seamlessly translated into his professional achievements. His education laid the groundwork for a successful career in developing cutting-edge satellite navigation technologies and collaborating on international research initiatives.

Professional Experience📝

Domenico Di Grazia brings over 20 years of professional experience in GNSS and digital signal processing, primarily at STMicroelectronics. Since joining the company in 2003, he has advanced from a software designer to the GNSS DSP Team Leader, overseeing algorithm development, chip design specifications, and cross-site team management. His work focuses on the modeling and implementation of advanced signal processing techniques for GPS, Galileo, Beidou, and other global navigation systems, with applications in high-precision positioning and autonomous driving. He has led several innovative projects, authored patents in anti-jamming, signal reacquisition, and tracking, and contributed to international collaborations and conferences. Prior to STMicroelectronics, he worked as a hardware and firmware designer at Uni.Com (Telit Group), gaining hands-on experience in DVB standards and SMART TV systems. Domenico’s career reflects a blend of deep technical expertise, leadership, and real-world impact, making him a driving force in GNSS innovation and embedded system design.

Research Interest🔎

Domenico Di Grazia’s research interests lie at the intersection of advanced signal processing, satellite navigation systems, and embedded system innovation. He specializes in the development of algorithms for GNSS signal acquisition, reacquisition, and tracking across multiple constellations, including GPS, Galileo, Beidou, and IRNSS. His focus extends to precise positioning technologies through carrier phase and pseudorange measurements, multipath mitigation, and cycle slip detection. Domenico is particularly passionate about enhancing GNSS performance in challenging environments, contributing to the evolution of anti-jamming and anti-spoofing techniques for reliable navigation. He is actively involved in designing GNSS-enabled systems for autonomous driving, integrating functional safety standards. His work emphasizes real-time implementation on embedded platforms, bridging theoretical models with practical applications. Additionally, his interest in fostering industry-academia collaboration fuels his contributions to training, mentoring, and joint research initiatives with universities, reinforcing his commitment to technological innovation and next-generation navigation systems.

Award and Honor🏆

Domenico Di Grazia has earned widespread recognition for his contributions to GNSS signal processing and satellite navigation technologies. He holds several prestigious U.S. patents, reflecting his innovative work in areas such as anti-jamming, signal reacquisition, digital demodulation, and multi-constellation satellite tracking. These patented technologies have been instrumental in advancing precise positioning and enhancing signal reliability in complex environments. In addition to his intellectual property achievements, Domenico has co-authored several influential articles published in international journals and conference proceedings, including contributions to ION and GPS World. His role as a team leader at STMicroelectronics and as a key contributor to international collaborative projects has further solidified his reputation as a global expert in GNSS technologies. Recognized within the industry for driving advancements in automotive GNSS applications, particularly for autonomous driving, Domenico’s innovations continue to impact the field. His consistent excellence and commitment make him a strong candidate for technical and research-oriented honors.

Research Skill🔬

Domenico Di Grazia possesses advanced research skills in digital signal processing, algorithm development, and satellite navigation technologies. His expertise spans modeling and real-time implementation of innovative acquisition, reacquisition, and tracking algorithms for multi-constellation GNSS systems, including GPS, Galileo, Beidou, and IRNSS. He is highly skilled in programming languages such as C, MATLAB, and Python, which he uses to develop and test complex signal processing solutions on embedded platforms. Domenico excels in applying carrier phase and pseudorange measurement techniques, multipath mitigation, and cycle slip detection to enhance GNSS accuracy and reliability. His deep understanding of anti-jamming and anti-spoofing strategies supports robust navigation systems for critical applications like autonomous driving. He also demonstrates strong collaboration and mentoring skills, contributing to research initiatives with universities and guiding young engineers. His ability to integrate theoretical research with industrial application showcases his strength as a well-rounded innovator in the field of GNSS technology.

Conclusion💡

Domenico Di Grazia is highly suitable for the Research for Innovation Recognition Award. His career exemplifies cutting-edge technological innovation, deep domain expertise, and meaningful contributions to global industries such as autonomous systems and telecommunications.

His leadership in patent-worthy research, direct real-world impact, and sustained commitment to advancing GNSS technologies make him an excellent candidate. Strengthening academic visibility and broadening interdisciplinary reach could further elevate his innovation profile.

Publications Top Noted✍️

1. Title: Putting the Synthetic Global Navigation Satellite System Meta-Signal Paradigm into Practice: Application to Automotive Market Devices
Authors: Domenico Di Grazia, Fabio Pisoni, Giovanni Gogliettino, Ciro Gioia, Daniele Borio
Year: 2025
DOI: 10.3390/engproc2025088030
Citation:
Di Grazia, D., Pisoni, F., Gogliettino, G., Gioia, C., & Borio, D. (2025). Putting the Synthetic Global Navigation Satellite System Meta-Signal Paradigm into Practice: Application to Automotive Market Devices. Engineering Proceedings, MDPI. https://doi.org/10.3390/engproc2025088030

2. Title: Combined Navigation and Tracking with Applications to Low Earth Orbit Satellites
Authors: Fabio Pisoni, Domenico Di Grazia, Giovanni Gogliettino, Thyagaraja Marathe, Paul Tarantino, Tyler Reid, Mathieu Favreau
Year: 2025
DOI: 10.3390/engproc2025088022
Citation:
Pisoni, F., Di Grazia, D., Gogliettino, G., Marathe, T., Tarantino, P., Reid, T., & Favreau, M. (2025). Combined Navigation and Tracking with Applications to Low Earth Orbit Satellites. Engineering Proceedings, MDPI. https://doi.org/10.3390/engproc2025088022

Luigi Fortuna | Engineering | Future Frontier Science Award

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Prof. Luigi Fortuna | Engineering | Future Frontier Science Award

IEEE Life Fellow at Università di Catania, Italy

Prof. Luigi Fortuna is a Full Professor of Automatic Control at the University of Catania, Italy, with extensive experience in robust control, nonlinear science, chaos, robotics, and soft-computing strategies for control. He earned his Master’s degree in Electrical Engineering in 1977 and has since contributed significantly to the field with over 700 technical papers, 20 scientific books, and 10 industrial patents. His research has earned him recognition, reflected in an H-index of 56 on SCOPUS. Prof. Fortuna has coordinated and participated in numerous international research projects, including collaborations with institutions like the Joint European Torus (UK) and ENEA (Italy). He has also served in various academic leadership roles, such as the Dean of the Engineering Faculty and Coordinator of the PhD course in Systems Engineering at the University of Catania. A Fellow of IEEE, he is also a prominent figure in international conference organization and scientific journals.

Professional Profile

Education

Prof. Luigi Fortuna earned his education in Electrical Engineering, completing his Master’s degree at the University of Catania, Italy, in 1977. Following this, he pursued advanced studies and research, which led to his professional career in academia and industry. His educational foundation laid the groundwork for his extensive contributions to the fields of automatic control, nonlinear science, chaos theory, robotics, and soft computing for control applications. Throughout his career, Prof. Fortuna has been involved in various international academic and research initiatives, which have helped shape his expertise and knowledge. His academic journey has been marked by a focus on both theoretical and applied aspects of control systems, with a strong emphasis on interdisciplinary research. Prof. Fortuna’s educational background has also led to significant roles in academic leadership, where he has guided and mentored students at both undergraduate and postgraduate levels.

Professional Experience

Prof. Luigi Fortuna has had an illustrious career, primarily in academia and research, with a focus on electrical engineering, control systems, and nonlinear science. He began his academic career as an assistant professor at the University of Catania, Italy, and later became a full professor in the Department of Electrical Engineering. His professional experience spans various research areas, including nonlinear control, robotics, soft computing, and chaos theory, where he has made significant contributions. Prof. Fortuna has held various leadership positions, serving as the head of his department and as a member of numerous academic committees. He has collaborated extensively with international research groups, contributing to the advancement of control theory and its practical applications. Prof. Fortuna has supervised numerous graduate and Ph.D. students, influencing the development of future experts in the field. His professional experience also includes publishing over 200 scientific papers and serving on editorial boards of prestigious journals.

Research Interests

Prof. Luigi Fortuna’s research interests lie primarily in the fields of electrical engineering, control systems, nonlinear dynamics, and artificial intelligence. His work has focused extensively on nonlinear control theory, robotics, and the application of chaos theory in practical systems. He has contributed to the development of methods for controlling nonlinear systems, with applications in various engineering fields, including automation and robotics. Prof. Fortuna has also explored the integration of soft computing techniques, such as fuzzy logic and neural networks, into control systems to enhance system performance and adaptability. Additionally, his research encompasses the use of machine learning and optimization algorithms in the design and control of complex systems. His interdisciplinary approach has led to significant advancements in both theoretical frameworks and real-world applications, bridging the gap between advanced mathematical concepts and practical engineering solutions. Prof. Fortuna’s work continues to influence developments in control theory, robotics, and intelligent systems.

Awards and Honors

Prof. Luigi Fortuna has received numerous awards and honors throughout his distinguished career in recognition of his contributions to electrical engineering, control theory, and artificial intelligence. He has been acknowledged for his pioneering work in nonlinear dynamics, robotics, and advanced control systems. Prof. Fortuna was named a Fellow of the IEEE (Institute of Electrical and Electronics Engineers), a prestigious recognition that highlights his outstanding contributions to the field of control systems and nonlinear dynamics. Additionally, he has been awarded various international research grants, reflecting the global impact of his work. He has also been honored with awards from prominent academic and scientific organizations, further underscoring his leadership in the field of electrical engineering. Throughout his career, Prof. Fortuna has been a regular recipient of best paper awards at major conferences and symposiums. His academic achievements, dedication to research, and innovations have earned him widespread recognition and respect in the global scientific community.

Conclusion

Prof. Luigi Fortuna’s accomplishments make him a strong candidate for the Future Frontier Science Award. His extensive experience in complex systems, robust control, and nonlinear science, combined with his leadership and innovative contributions, aligns with the vision of the award. With an emphasis on expanding cross-disciplinary collaborations, mentoring emerging talent, and enhancing public engagement, Prof. Fortuna could further amplify his remarkable legacy in science.

Publications Top Noted

  • Fractional order systems: modeling and control applications
    • Authors: R Caponetto, G Dongola, L Fortuna, I Petras
    • Year: 2010
    • Citations: 1344
  • Soft Sensor for Monitoring and Control of Industrial Processes. In Advances in Industrial Control Series
    • Authors: L Fortuna, S Graziani, A Rizzo, MG Xibilia
    • Year: 2007
    • Citations: 1115
  • Chaotic sequences to improve the performance of evolutionary algorithms
    • Authors: R Caponetto, L Fortuna, S Fazzino, MG Xibilia
    • Year: 2003
    • Citations: 642
  • Timing of surgery following SARS-CoV-2 infection: an international prospective cohort study
    • Authors: COVIDSurg Collaborative
    • Year: 2021
    • Citations: 579
  • Soft sensors for product quality monitoring in debutanizer distillation columns
    • Authors: L Fortuna, S Graziani, MG Xibilia
    • Year: 2005
    • Citations: 401
  • Model order reduction techniques with applications in electrical engineering
    • Authors: L Fortuna, G Nunnari, A Gallo
    • Year: 2012
    • Citations: 321
  • Effects of mobility in a population of prisoner’s dilemma players
    • Authors: S Meloni, A Buscarino, L Fortuna, M Frasca, J Gómez-Gardeñes, V Latora, …
    • Year: 2009
    • Citations: 288
  • A chaotic circuit based on Hewlett-Packard memristor
    • Authors: A Buscarino, L Fortuna, M Frasca, L Valentina Gambuzza
    • Year: 2012
    • Citations: 286
  • Elective cancer surgery in COVID-19–free surgical pathways during the SARS-CoV-2 pandemic: an international, multicenter, comparative cohort study
    • Authors: JC Glasbey, D Nepogodiev, JFF Simoes, O Omar, E Li, ML Venn, PGDME, …
    • Year: 2021
    • Citations: 274
  • Chua’s circuit implementations: yesterday, today and tomorrow
    • Authors: L Fortuna, M Frasca, MG Xibilia
    • Year: 2009
    • Citations: 270
  • Effect of COVID-19 pandemic lockdowns on planned cancer surgery for 15 tumour types in 61 countries: an international, prospective, cohort study
    • Authors: J Glasbey, A Ademuyiwa, A Adisa, E AlAmeer, AP Arnaud, F Ayasra, …
    • Year: 2021
    • Citations: 265
  • Bifurcation and chaos in noninteger order cellular neural networks
    • Authors: P Arena, R Caponetto, L Fortuna, D Porto
    • Year: 1998
    • Citations: 225
  • Chua’s circuit can be generated by CNN cells
    • Authors: P Arena, S Baglio, L Fortuna, G Manganaro
    • Year: 1995
    • Citations: 224
  • Cellular neural networks: chaos, complexity and VLSI processing
    • Authors: G Manganaro, P Arena, L Fortuna
    • Year: 2012
    • Citations: 211
  • Does chaos work better than noise?
    • Authors: M Bucolo, R Caponetto, L Fortuna, M Frasca, A Rizzo
    • Year: 2002
    • Citations: 206

Mantesh Basappa Khot | Engineering | Best Researcher Award

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Dr. Mantesh Basappa Khot | Engineering | Best Researcher Award

Assistant Professor at PES University, India

Dr. Mantesh Basappa Khot, Assistant Professor in Mechanical Engineering at PES University, is a dedicated researcher with expertise in machine design, composite materials, and sustainable engineering. He holds a Ph.D. from PES University (2024) and a Master’s degree in Machine Design from Visvesvaraya Technological University, where he was awarded a Gold Medal. Dr. Khot’s research contributions include over 14 international publications in areas such as composite material innovation for automotive and aerospace applications, as well as sustainable solutions like recycling textile and plastic waste. He has actively contributed to curriculum development, including his role in establishing the BEST center at PES University. In addition, Dr. Khot has significant experience in teaching a wide range of undergraduate and postgraduate courses, mentoring students, and organizing conferences. His technical skills in NAAC documentation, finite element analysis, and digital design further enhance his academic and professional profile.

Professional Profile

Education

Dr. Mantesh Basappa Khot has a robust educational background in engineering, which forms the foundation of his academic and research career. He earned his Ph.D. in Mechanical Engineering from PES University in 2024, where his research focused on innovative applications of composite materials. Prior to that, he completed his Master’s degree in Machine Design from Visvesvaraya Technological University, graduating with a Gold Medal, a testament to his academic excellence. His undergraduate studies were in Mechanical Engineering, where he acquired a solid technical foundation. Throughout his academic journey, Dr. Khot has engaged in various interdisciplinary projects, enhancing his expertise in machine design and sustainable engineering. His education is complemented by practical experience and a commitment to advancing engineering principles, making him a valuable asset in both teaching and research environments. Dr. Khot’s educational achievements underscore his dedication to fostering innovation and excellence in the field of mechanical engineering.

Professional Experience

Dr. Mantesh Basappa Khot has accumulated diverse professional experience within academia and research, specializing in mechanical engineering and material sciences. Currently, he serves as an Assistant Professor at the Department of Mechanical Engineering, PES University, where he is deeply involved in both teaching and guiding research projects. Dr. Khot has contributed to various interdisciplinary studies, focusing particularly on composite materials and sustainable engineering solutions. He is known for integrating practical, real-world applications into his curriculum, enhancing students’ understanding of machine design and structural analysis. Previously, Dr. Khot held positions in the industry where he gained hands-on experience in mechanical systems and advanced material applications, further enriching his academic insights. His collaborative projects with industry partners have addressed engineering challenges and have led to innovations in material efficiency and machine resilience. Dr. Khot’s professional experience reflects a blend of academic rigor and applied engineering expertise, positioning him as a leader in his field.

Research Interests

Dr. Mantesh Basappa Khot’s research interests focus on mechanical engineering and material science, specifically in the development and optimization of advanced composite materials for structural applications. His work explores the design, analysis, and application of fiber-reinforced composites, with an emphasis on enhancing their strength, durability, and sustainability. Dr. Khot is particularly interested in lightweight materials that retain high-performance characteristics, making them ideal for automotive, aerospace, and energy sectors. He is also dedicated to sustainable engineering practices, researching biodegradable and eco-friendly composites that minimize environmental impact. His studies delve into the material properties at both macro and micro levels, utilizing experimental and computational modeling techniques to better understand how different material compositions affect performance. Through his research, Dr. Khot aims to contribute to innovations in mechanical design and structural integrity, with a long-term goal of creating safer and more sustainable engineering solutions across various industries.

Awards and Honors

Dr. Mantesh Basappa Khot has been honored with several prestigious awards recognizing his contributions to mechanical engineering and materials science. His research innovations in composite materials and sustainable engineering solutions have earned him accolades from leading institutions and industry bodies. Dr. Khot has received awards for excellence in research, including distinctions at international conferences focused on composite materials and structural engineering. His contributions have also been acknowledged through grants and fellowships that support advanced research in materials science, enabling him to further explore innovative applications of lightweight and eco-friendly materials. Dr. Khot’s work has garnered recognition not only for its academic impact but also for its real-world applicability, especially in automotive and aerospace engineering. His commitment to sustainable engineering and groundbreaking contributions in the field have solidified his reputation as a respected and influential researcher, inspiring new advancements in materials science and mechanical engineering.

Conclusion

Dr. Mantesh Basappa Khot is a strong candidate for the Best Researcher Award due to his extensive publication record, innovative research in sustainable materials, and active involvement in academic and administrative roles. With further emphasis on interdisciplinary and industry-based projects, he could increase his impact and contribution to the mechanical engineering field. Dr. Khot’s academic accomplishments, research focus on sustainable materials, and commitment to teaching and mentorship make him a highly deserving nominee for this award.

Publications Top Noted

  • Plastic waste into fuel using pyrolysis process
    • Authors: MB Khot, S Basavarajappa
    • Year: 2017
    • Citations: 7
  • Effect of tool material on thrust force and delamination in the drilling of coconut leaf sheath fibre reinforced polymer composites
    • Authors: MB Khot, MP Kumar
    • Year: 2021
    • Citations: 5
  • Plastic waste into fuel using pyrolysis process
    • Authors: BK Mantesh, S Basavarajappa
    • Year: 2017
    • Citations: 3
  • A review on textile waste production, management and its applications in construction engineering field
    • Authors: MB Khot, KS Sridhar, D Sethuram
    • Year: 2022
    • Citations: 2
  • Finite element modelling and dynamic characteristic analysis of the human CTL-Spine
    • Authors: S Dayanand, BR Kumar, A Rao, C CV, M B Khot, H Shetty
    • Year: 2020
    • Citations: 2
  • Plastic waste into fuel using pyrolysis process
    • Authors: S Basavarajappa, MB Khot
    • Year: 2017
    • Citations: 2
  • Finite element modelling and simulation of car bonnet’s crashworthiness parameters for pedestrian safety
    • Authors: KS Neeraj, SRS Salanke, SS Tejas, SR Sudhansh, MB Khot
    • Year: 2024
    • Citations: 1
  • A review on fabrication and dynamic characterisation of composite beam structure
    • Authors: J Akshobya, MB Khot
    • Year: 2023
    • Citations: 1
  • A cotton waste reinforced composite for automotive applications: development and thermal characterization
    • Authors: MB Khot, KSSD Sethuram
    • Year: 2024
    • Citations: 0
  • A review on finite element modelling and experimental analysis of crashworthiness design of automotive body
    • Authors: SRS Salanke, S Shantha Raju, T SS, N Kolhapuri Srinivas, MB Khot
    • Year: 2024
    • Citations: 0
  • Finite element analysis & topology optimization of excavator bucket teeth for optimal performance
    • Authors: BAM Mohan, MU Rahaman, R Madhu, MB Khot
    • Year: 2024
    • Citations: 0
  • Recent advancements in 3D printing for gear design and analysis: a comprehensive review
    • Authors: L Pujari, S Manoj, OK Gaddikeri, P Shetty, MB Khot
    • Year: 2024
    • Citations: 0
  • Prediction of elastic properties of cotton waste reinforced epoxy composites for structural applications
    • Authors: MB Khot, KS Sridhar, D Sethuram
    • Year: 2024
    • Citations: 0
  • Design and Analysis of Multitasking Column Climbing Robot
    • Authors: V Shanura Pattara, V Abhi, R Ravi, PV Ranganatha, M Basappa Khot
    • Year: 2023
    • Citations: 0
  • Experimental and Numerical Investigation of Tensile Strength of Hybrid Flax–Glass Epoxy Reinforced Composite
    • Authors: RR Reddy, MB Khot
    • Year: 2023
    • Citations: 0

Aly Mousaad Aly | Engineering | Best Researcher Award

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Prof. Aly Mousaad Aly | Engineering | Best Researcher Award

PhD at Louisiana State University, United States

Dr. Jienan Shen is an accomplished Assistant Researcher at the Bionic Sensing and Intelligence Center within the Institute of Biomedical and Health Engineering at the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences. With a robust background in microelectronics and solid-state electronics, Dr. Shen has dedicated his research career to the development of innovative biomedical analysis platforms utilizing microfluidic technology. His work integrates advanced engineering principles with medical applications, aiming to enhance diagnostic and therapeutic processes. An active contributor to the scientific community, Dr. Shen has published extensively and has several patents to his name. His commitment to advancing healthcare technology through research underscores his role as a leader in the field, where he continues to inspire and collaborate with peers and aspiring scientists alike.

Professional Profile

Education

Dr. Shen obtained his Ph.D. in Microelectronics and Solid-State Electronics from Xiamen University, where he developed a strong foundation in semiconductor technology and its applications in biomedical engineering. His doctoral research focused on the integration of microelectronic devices with biological systems, which paved the way for his subsequent exploration of microfluidic technologies. Following his Ph.D., Dr. Shen completed a postdoctoral training program through a collaborative initiative between the Shenzhen Institute of Advanced Technology and Shenzhen Children’s Hospital. This program allowed him to further refine his research skills and gain hands-on experience in applying microfluidic platforms for biomedical applications, solidifying his expertise in creating advanced diagnostic tools that cater to healthcare needs.

Professional Experience

Dr. Shen’s professional experience encompasses various roles that highlight his leadership and collaborative skills in research. As an Assistant Researcher at the Bionic Sensing and Intelligence Center, he leads a postdoctoral project while also participating in numerous significant research initiatives. His involvement includes major national projects, such as the National Key Research and Development Program and the National Natural Science Foundation. He has also contributed to regional initiatives, including the Guangdong Provincial Key Area R&D Program and key projects from the Shenzhen Science and Technology Innovation Commission. His active engagement in these endeavors showcases his ability to work effectively in multidisciplinary teams, driving innovation in biomedical technology and contributing to advancements in health care solutions.

Research Interests

Dr. Shen’s primary research interest lies in the development of biomedical analysis platforms through microfluidic technology. His work focuses on creating innovative tools that enhance the efficiency and accuracy of biomedical diagnostics, allowing for faster and more reliable results. This research area encompasses the design and fabrication of microfluidic devices that integrate biological samples with electronic systems, enabling advanced sensing and analysis capabilities. Dr. Shen is also interested in exploring applications of these technologies in point-of-care diagnostics and personalized medicine. His goal is to bridge the gap between engineering and clinical practice, ultimately improving patient outcomes through the development of novel biomedical solutions that address real-world health challenges.

Awards and Honors

Throughout his career, Dr. Shen has received recognition for his contributions to the field of biomedical engineering. He has authored or co-authored 22 papers in prestigious international journals, which collectively have garnered significant citations, highlighting the impact of his research. Additionally, his innovative work has led to the filing of five international and domestic invention patents, showcasing his commitment to advancing technology in healthcare. His involvement in high-profile research projects has also earned him acknowledgment from various academic and professional organizations. While specific awards may vary, Dr. Shen’s overall accomplishments reflect his dedication to excellence in research and his influence as a thought leader in the domain of microfluidics and biomedical analysis.

Conclusion

Dr. Jienan Shen is a strong candidate for the Best Researcher Award due to his substantial research contributions, innovative spirit, and leadership qualities. His work in developing biomedical analysis platforms using microfluidic technology is highly relevant and impactful. By focusing on improving his outreach efforts and fostering interdisciplinary collaborations, Dr. Shen can further enhance his influence in the scientific community. His achievements not only highlight his dedication to advancing biomedical engineering but also position him as a key contributor to the future of healthcare technologies.

Publication Top Noted

  • 📝 Rapid fabrication of a four-layer PMMA-based microfluidic chip using CO2-laser micromachining and thermal bonding
    • Authors: X Chen, J Shen, M Zhou
    • Year: 2016
    • Citations: 121
  • 🔍 Numerical analysis of mixing behaviors of two types of E-shape micromixers
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 93
  • 📖 Review of membranes in microfluidics
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 84
  • 🌱 From structures, packaging to application: A system-level review for micro direct methanol fuel cell
    • Authors: X Chen, T Li, J Shen, Z Hu
    • Year: 2017
    • Citations: 81
  • 🔄 Numerical and experimental investigation on splitting-and-recombination micromixer with E-shape mixing units
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 44
  • 🏗️ Manufacturing methods and applications of membranes in microfluidics
    • Authors: X Chen, J Shen, Z Hu, X Huo
    • Year: 2016
    • Citations: 38
  • 🌀 Fractal design of microfluidics and nanofluidics—A review
    • Authors: X Chen, T Li, J Shen, Z Hu
    • Year: 2016
    • Citations: 33
  • ❤️ Digital microfluidic thermal control chip-based multichannel immunosensor for noninvasively detecting acute myocardial infarction
    • Authors: J Shen, L Zhang, J Yuan, Y Zhu, H Cheng, Y Zeng, J Wang, X You, …
    • Year: 2021
    • Citations: 28
  • 📏 Design and fabrication of a D33-mode piezoelectric micro-accelerometer
    • Authors: M Xu, H Zhou, L Zhu, J Shen, Y Zeng, Y Feng, H Guo
    • Year: 2019
    • Citations: 20
  • 🔬 Simulation and experimental analysis of a SAR micromixer with F-shape mixing units
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 20
  • 🧬 CRISPR/Cas12a-Assisted isothermal amplification for rapid and specific diagnosis of respiratory virus on a microfluidic platform
    • Authors: J Shen, Z Chen, R Xie, J Li, C Liu, Y He, X Ma, H Yang, Z Xie
    • Year: 2023
    • Citations: 16
  • ⚡ Micro direct methanol fuel cell: functional components, supplies management, packaging technology and application
    • Authors: X Chen, Z Zhang, J Shen, Z Hu
    • Year: 2017
    • Citations: 16
  • 🔄 Design and simulation of a chaotic micromixer with diamond-like micropillar based on artificial neural network
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 15
  • 🖥️ Simulation in system-level based on model order reduction for a square-wave micromixer
    • Authors: X Chen, J Shen
    • Year: 2015
    • Citations: 12
  • 🔧 Fabrication and performance evaluation of two multi-layer passive micromixers
    • Authors: X Chen, J Shen, Z Hu
    • Year: 2018
    • Citations: 10
  • 🧪 Effects of annealing parameters on residual stress and piezoelectric performance of ZnO thin films studied by X-ray diffraction and atomic force microscopy
    • Authors: JN Shen, YB Zeng, MH Xu, LH Zhu, BL Liu, H Guo
    • Year: 2019
    • Citations: 8
  • 🌡️ A three-dimensional simulation analysis of fluid flow and heat transfer in microchannel heat sinks with different structures
    • Authors: J Shen, X Li, Y Zhu, B Zhang, H Guo, B Liu, H Chen
    • Year: 2021
    • Citations: 5
  • 🔬 PMMA microreactor for chemiluminescence detection of Cu (II) based on 1, 10-Phenanthroline-hydrogen peroxide reaction
    • Authors: X Chen, J Shen, T Li
    • Year: 2016
    • Citations: 4
  • 💻 A low-temperature digital microfluidic system used for protein–protein interaction detection
    • Authors: J Shen, J Liao, H Liu, C Liu, C Li, H Cheng, H Yang, H Chen
    • Year: 2023
    • Citations: 3
  • 🛠️ MEMS 中基底和薄膜的 CMP 制造技术
    • Authors: 曾毅波，张杰，许马会，郝锐，沈杰男，周辉，郭航
    • Year: 2018
    • Citations: 3

jienan Shen | Engineering | Best Researcher Award

Published on by NESIN Awards

Dr. jienan Shen | Engineering | Best Researcher Award

Research associate at Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China

Dr. Jienan Shen is an accomplished Assistant Researcher at the Bionic Sensing and Intelligence Center within the Institute of Biomedical and Health Engineering at the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences. With a robust background in microelectronics and solid-state electronics, Dr. Shen has dedicated his research career to the development of innovative biomedical analysis platforms utilizing microfluidic technology. His work integrates advanced engineering principles with medical applications, aiming to enhance diagnostic and therapeutic processes. An active contributor to the scientific community, Dr. Shen has published extensively and has several patents to his name. His commitment to advancing healthcare technology through research underscores his role as a leader in the field, where he continues to inspire and collaborate with peers and aspiring scientists alike.

Professional Profile

Education

Dr. Shen obtained his Ph.D. in Microelectronics and Solid-State Electronics from Xiamen University, where he developed a strong foundation in semiconductor technology and its applications in biomedical engineering. His doctoral research focused on the integration of microelectronic devices with biological systems, which paved the way for his subsequent exploration of microfluidic technologies. Following his Ph.D., Dr. Shen completed a postdoctoral training program through a collaborative initiative between the Shenzhen Institute of Advanced Technology and Shenzhen Children’s Hospital. This program allowed him to further refine his research skills and gain hands-on experience in applying microfluidic platforms for biomedical applications, solidifying his expertise in creating advanced diagnostic tools that cater to healthcare needs.

Professional Experience

Dr. Shen’s professional experience encompasses various roles that highlight his leadership and collaborative skills in research. As an Assistant Researcher at the Bionic Sensing and Intelligence Center, he leads a postdoctoral project while also participating in numerous significant research initiatives. His involvement includes major national projects, such as the National Key Research and Development Program and the National Natural Science Foundation. He has also contributed to regional initiatives, including the Guangdong Provincial Key Area R&D Program and key projects from the Shenzhen Science and Technology Innovation Commission. His active engagement in these endeavors showcases his ability to work effectively in multidisciplinary teams, driving innovation in biomedical technology and contributing to advancements in health care solutions.

Research Interests

Dr. Shen’s primary research interest lies in the development of biomedical analysis platforms through microfluidic technology. His work focuses on creating innovative tools that enhance the efficiency and accuracy of biomedical diagnostics, allowing for faster and more reliable results. This research area encompasses the design and fabrication of microfluidic devices that integrate biological samples with electronic systems, enabling advanced sensing and analysis capabilities. Dr. Shen is also interested in exploring applications of these technologies in point-of-care diagnostics and personalized medicine. His goal is to bridge the gap between engineering and clinical practice, ultimately improving patient outcomes through the development of novel biomedical solutions that address real-world health challenges.

Awards and Honors

Throughout his career, Dr. Shen has received recognition for his contributions to the field of biomedical engineering. He has authored or co-authored 22 papers in prestigious international journals, which collectively have garnered significant citations, highlighting the impact of his research. Additionally, his innovative work has led to the filing of five international and domestic invention patents, showcasing his commitment to advancing technology in healthcare. His involvement in high-profile research projects has also earned him acknowledgment from various academic and professional organizations. While specific awards may vary, Dr. Shen’s overall accomplishments reflect his dedication to excellence in research and his influence as a thought leader in the domain of microfluidics and biomedical analysis.

Conclusion

Dr. Jienan Shen is a strong candidate for the Best Researcher Award due to his substantial research contributions, innovative spirit, and leadership qualities. His work in developing biomedical analysis platforms using microfluidic technology is highly relevant and impactful. By focusing on improving his outreach efforts and fostering interdisciplinary collaborations, Dr. Shen can further enhance his influence in the scientific community. His achievements not only highlight his dedication to advancing biomedical engineering but also position him as a key contributor to the future of healthcare technologies.

Publication Top Noted

  • 📝 Rapid fabrication of a four-layer PMMA-based microfluidic chip using CO2-laser micromachining and thermal bonding
    • Authors: X Chen, J Shen, M Zhou
    • Year: 2016
    • Citations: 121
  • 🔍 Numerical analysis of mixing behaviors of two types of E-shape micromixers
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 93
  • 📖 Review of membranes in microfluidics
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 84
  • 🌱 From structures, packaging to application: A system-level review for micro direct methanol fuel cell
    • Authors: X Chen, T Li, J Shen, Z Hu
    • Year: 2017
    • Citations: 81
  • 🔄 Numerical and experimental investigation on splitting-and-recombination micromixer with E-shape mixing units
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 44
  • 🏗️ Manufacturing methods and applications of membranes in microfluidics
    • Authors: X Chen, J Shen, Z Hu, X Huo
    • Year: 2016
    • Citations: 38
  • 🌀 Fractal design of microfluidics and nanofluidics—A review
    • Authors: X Chen, T Li, J Shen, Z Hu
    • Year: 2016
    • Citations: 33
  • ❤️ Digital microfluidic thermal control chip-based multichannel immunosensor for noninvasively detecting acute myocardial infarction
    • Authors: J Shen, L Zhang, J Yuan, Y Zhu, H Cheng, Y Zeng, J Wang, X You, …
    • Year: 2021
    • Citations: 28
  • 📏 Design and fabrication of a D33-mode piezoelectric micro-accelerometer
    • Authors: M Xu, H Zhou, L Zhu, J Shen, Y Zeng, Y Feng, H Guo
    • Year: 2019
    • Citations: 20
  • 🔬 Simulation and experimental analysis of a SAR micromixer with F-shape mixing units
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 20
  • 🧬 CRISPR/Cas12a-Assisted isothermal amplification for rapid and specific diagnosis of respiratory virus on a microfluidic platform
    • Authors: J Shen, Z Chen, R Xie, J Li, C Liu, Y He, X Ma, H Yang, Z Xie
    • Year: 2023
    • Citations: 16
  • ⚡ Micro direct methanol fuel cell: functional components, supplies management, packaging technology and application
    • Authors: X Chen, Z Zhang, J Shen, Z Hu
    • Year: 2017
    • Citations: 16
  • 🔄 Design and simulation of a chaotic micromixer with diamond-like micropillar based on artificial neural network
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 15
  • 🖥️ Simulation in system-level based on model order reduction for a square-wave micromixer
    • Authors: X Chen, J Shen
    • Year: 2015
    • Citations: 12
  • 🔧 Fabrication and performance evaluation of two multi-layer passive micromixers
    • Authors: X Chen, J Shen, Z Hu
    • Year: 2018
    • Citations: 10
  • 🧪 Effects of annealing parameters on residual stress and piezoelectric performance of ZnO thin films studied by X-ray diffraction and atomic force microscopy
    • Authors: JN Shen, YB Zeng, MH Xu, LH Zhu, BL Liu, H Guo
    • Year: 2019
    • Citations: 8
  • 🌡️ A three-dimensional simulation analysis of fluid flow and heat transfer in microchannel heat sinks with different structures
    • Authors: J Shen, X Li, Y Zhu, B Zhang, H Guo, B Liu, H Chen
    • Year: 2021
    • Citations: 5
  • 🔬 PMMA microreactor for chemiluminescence detection of Cu (II) based on 1, 10-Phenanthroline-hydrogen peroxide reaction
    • Authors: X Chen, J Shen, T Li
    • Year: 2016
    • Citations: 4
  • 💻 A low-temperature digital microfluidic system used for protein–protein interaction detection
    • Authors: J Shen, J Liao, H Liu, C Liu, C Li, H Cheng, H Yang, H Chen
    • Year: 2023
    • Citations: 3
  • 🛠️ MEMS 中基底和薄膜的 CMP 制造技术
    • Authors: 曾毅波，张杰，许马会，郝锐，沈杰男，周辉，郭航
    • Year: 2018
    • Citations: 3

Swarnadipto Ghosh | Engineering | Best Researcher Award

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🌟Mr. Swarnadipto Ghosh, Engineering, Best Researcher Award 🏆

  • Swarnadipto Ghosh at Indian Institute of Space Science and Technology, India

Swarnadipto Ghosh is a dedicated researcher and engineer specializing in RF and Microwave Engineering. With a background in Electronics and Communication Engineering, Swarnadipto has pursued advanced studies at the Indian Institute of Space Science and Technology (IIST), Trivandrum, where he is currently completing his M.Tech in RF and Microwave Engineering. He has a keen interest in metamaterials, computational electromagnetics, and antenna design for applications such as satellite communication and 5G technology. Swarnadipto is proficient in software tools like Ansys HFSS, MATLAB, and programming languages like C and Python. Alongside his academic pursuits, Swarnadipto is an active member of IEEE Microwave Theory & Technology Society (MTT-S) and enjoys hobbies such as singing and cricket.

Author Metrics

Google Scholar Profile

Scopus Profile

Swarnadipto’s research output is characterized by a high level of quality and impact. His publications have been well-received within the academic community, as evidenced by citations and acknowledgments from peers in the field.

Swarnadipto Ghosh. He is affiliated with Dream Institute of Technology in Kolkata, India. Based on the provided data, he has 9 documents indexed in Scopus, with a total of 3 citations since 2019. His h-index is 1, indicating that he has at least 1 publication that has been cited at least once. His i10-index, which measures the number of publications with at least 10 citations, is currently 0.

Education

Swarnadipto Ghosh holds a Bachelor’s degree in Electronics and Communication Engineering from Dream Institute of Technology (DIT), Kolkata. Currently, he is pursuing a Master’s degree in RF and Microwave Engineering at the Indian Institute of Space Science and Technology (IIST), Trivandrum.

Research Focus

Swarnadipto’s research interests revolve around various aspects of RF and Microwave Engineering, with a particular focus on metamaterials, electromagnetic bandgap structures, computational electromagnetics, and ultra-wideband antennas. He is dedicated to exploring applications such as 5G technology, beamforming, and satellite communication.

Professional Journey

Swarnadipto has embarked on a promising professional journey, starting with an internship at Bharat Sanchar Nigam Limited (BSNL) as a Summer Trainee. He has since been involved in numerous research projects at IIST, Trivandrum, focusing on antenna design, mathematical modeling of metamaterials, and impedance modulation for various applications.

Honors & Awards

Swarnadipto Ghosh has been recognized for his academic excellence with a Graduate Aptitude Test in Engineering (GATE) Scholarship from the Ministry of Education (MoE). He has also received accolades for his research contributions, including publications in reputable conferences and journals.

Publications Noted & Contributions

Swarnadipto has made significant contributions to the field of RF and Microwave Engineering through his publications. His work encompasses a wide range of topics, including antenna design, metamaterials, and computational electromagnetics. His research papers have been accepted and presented at prestigious conferences and published in renowned journals.

  1. Design and Analysis of mm-Wave MIMO SIW Antenna for Multibeam 5G Applications
    • Cited By: 1
    • Year: 2023
  2. Hybrid Wireless RF-Perovskite Photovoltaic Energy Harvester Design Consideration for Low-Power Internet of Things
    • Cited By: 1
    • Year: 2023
  3. Gap-coupled resonator loaded ultra-wideband filtenna for frequency-notching applications
    • Cited By: 1
    • Year: 2023
  4. Systematic Analysis of Rotated Dual-Split Elliptical SRR with Band-Stop Characteristics
    • Cited By: Not specified
    • Year: 2023
  5. Statistically distributed 1D sinusoidally modulated leaky wave antenna for beam-scanning application
    • Cited By: Not specified
    • Year: 2023

Research Timeline

Swarnadipto’s research journey has been marked by continuous growth and exploration. From his early undergraduate studies to his current pursuit of a Master’s degree, he has consistently delved deeper into the realm of RF and Microwave Engineering, contributing valuable insights and innovations along the way.