Mohammad Neshati | Electrical Engineering | Best Researcher Award

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Assoc. Prof. Dr . Mohammad Neshati | Electrical Engineering | Best Researcher Award

Assoc. Prof. Dr . Mohammad Neshati, Ferdowsi University of Mashhad, Iran

Dr. Mohammad Hassan Neshati is an Associate Professor in the Department of Electrical Engineering and Electronics at Ferdowsi University of Mashhad, Iran. Born in Yazd in 1959, he specializes in microelectronics, microwave engineering, and antenna design. With over two decades of academic and research experience, Dr. Neshati has been a reviewer and editorial board member for esteemed journals such as IEEE-AP and the International Journal of Antennas and Propagation. A senior IEEE member, he has supervised numerous MSc and PhD students. Dr. Neshati is fluent in English and Persian, contributing significantly to advancements in dielectric resonator antenna technologies.

Publication Profile

Orcid

Education

Dr. Neshati earned his PhD in Electrical Engineering from UMIST (University of Manchester Institute of Science and Technology), UK, where he specialized in numerical modeling and application studies of rectangular dielectric resonator antennas. Before that, he obtained his MSc in Electronics from Amir-Kabir University of Technology, Tehran, focusing on telemetry and radio frequency circuit design. His academic journey began with a BS degree in Electrical Engineering from Isfahan University of Technology, Iran. Throughout his education, Dr. Neshati demonstrated exceptional academic performance, earning scholarships and accolades for his research contributions.

Experience

Dr. Neshati has extensive teaching and research experience, beginning as an Instructor at Sistan & Baluchistan University (1989–1996), later becoming an Assistant Professor there until 2007. He then joined Ferdowsi University of Mashhad, progressing from Assistant Professor (2007–2008) to Associate Professor (2008–present). Dr. Neshati serves on editorial boards of several international journals and is a reviewer for IEEE journals. He has also mentored numerous MSc and PhD students, contributing significantly to academic research and engineering education. His expertise covers microelectronics, microwave devices, antennas, and network analyzers, supported by advanced proficiency in simulation tools like MATLAB, HFSS, and ADS.

Awards and Honors

Dr. Neshati has been a Senior Member of IEEE since 2013 and a regular member since 2000. He was awarded a prestigious scholarship to pursue his PhD studies at UMIST, where he was recognized as a top selected PhD student during 2000–2001. His academic excellence, leadership in research, and significant contributions to the fields of microwave engineering and antenna design have earned him notable distinctions. In addition, his editorial roles in prominent journals further highlight his standing in the scientific community. Dr. Neshati’s awards underscore his commitment to advancing research and fostering academic excellence in electrical engineering.

Research Focus

Dr. Neshati’s research centers around microelectronics, microwave engineering, and advanced antenna systems, particularly focusing on rectangular dielectric resonator antennas (RDRAs). His PhD work combined theoretical modeling, numerical simulation using FEM, and experimental validation of RDRAs. Key areas of investigation include resonance frequency optimization, radiation patterns, Q-factor, impedance bandwidth, and coupling mechanisms. His studies explore various feed structures like probe-fed and microstrip-coupled systems, addressing practical challenges such as fabrication imperfections. Dr. Neshati’s current research extends to dual-band antennas, backward radiation reduction, and dielectric resonator applications, contributing innovations in wireless communication and RF systems design.

Publication Top Notes

  • Development of a Compact Microstrip Antenna Using Slow-Wave Artificial Dielectric Substrate – Microwave and Optical Technology Letters (2025) 📡, DOI: 10.1002/mop.70191

  • Textile-based high-gain bow-tie antenna using metamaterials for medical applications – Engineering Reports (2024) 🏥, DOI: 10.1002/eng2.12949

  • Efficient Design Procedure for Combline Bandpass Filters With Advanced Electrical Responses – IEEE Access (2023) 🔧, DOI: 10.1109/ACCESS.2023.3278791

  • Equivalent Circuit Modeling of a Transmission Mode FSS Structure with Anisotropic Substrate and Enhanced Parameters – Iranian Journal of Science and Technology, Transactions of Electrical Engineering (2022) 🔬, DOI: 10.1007/s40998-022-00489-2

  • Development of a New Method for Pattern Synthesizing of Linear and Planar Arrays Using Legendre Transform With Minimum Number of Elements – IEEE Transactions on Antennas and Propagation (2022) 📡, DOI: 10.1109/TAP.2021.3137200

  • A new noniterative method for pattern synthesis of unequally spaced linear arrays – International Journal of RF and Microwave Computer-Aided Engineering (2019) 🔧, DOI: 10.1002/mmce.21921

  • Crosstalk analysis of uniform and nonuniform lossy microstrip‐coupled transmission lines – International Journal of RF and Microwave Computer-Aided Engineering (2019) ⚡, DOI: 10.1002/mmce.21916

  • Crosstalk analysis of multi‐microstrip coupled lines using transmission line modeling – International Journal of RF and Microwave Computer-Aided Engineering (2019) ⚡, DOI: 10.1002/mmce.21677

  • Design and Development of High-Gain SIW H-Plane Horn Antenna Loaded With Waveguide, Dipole Array, and Reflector Nails Using Thin Substrate – IEEE Transactions on Antennas and Propagation (2019) 📡, DOI: 10.1109/TAP.2019.2896445

  • Input impedance modeling of patch and semi-rectangular substrate integrated waveguide cavity hybrid antenna – AEU – International Journal of Electronics and Communications (2018) 🔧, DOI: 10.1016/j.aeue.2018.03.013

Mojtaba Hajiabadi | Electrical Engineering | Best Researcher Award

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Assist. Prof. Dr. Mojtaba Hajiabadi | Electrical Engineering | Best Researcher Award

Assist. Prof. Dr. MojtabaHajiabadi at University of Birjand, Iran

Dr. Mojtaba Hajiabadi is an Assistant Professor in the Communication Engineering Group at the University of Birjand, Iran. With expertise in 6G, wireless communications, adaptive filtering, and machine learning, he has significantly contributed to signal processing and telecommunications. He has served as a visiting researcher at KU Leuven, Belgium, and actively reviews for esteemed journals like IEEE Transactions on Signal Processing. His research includes developing advanced wireless systems, adaptive beamforming, and noise cancellation technologies. With numerous publications, patents, and projects, he remains a leading figure in next-generation communication technologies.

Publication Profile

Google Scholar

Academic Background🎓

Dr. Hajiabadi obtained his Ph.D. in Communication Engineering from Ferdowsi University of Mashhad in 2018, following an M.Sc. from the same institution in 2014 and a B.Sc. from the University of Birjand in 2012. His exceptional academic journey began at the National Organization for Development of Exceptional Talents (NODET). In 2019, he further enhanced his expertise as a Visiting Researcher at KU Leuven, Belgium, working on cutting-edge wireless technologies. His education has laid a strong foundation for his research in wireless communications, adaptive systems, and machine learning-based signal processing.

Professional Background💼

Dr. Hajiabadi has diverse academic and industrial experience, including research and teaching at KU Leuven, Ferdowsi University of Mashhad, and the University of Birjand. His professional roles extend to the Iranian Air Force, Telecommunication Infrastructure Company, and KavirTire Corporation. He has led projects on satellite signal processing, carrier synchronization, and military-grade noise cancellation. His hands-on work with software-defined radios (SDR) and real-world signal applications has made him a key contributor to modern telecommunication advancements, bridging theoretical research with practical implementations.

Awards and Honors🏆

Dr. Hajiabadi has been recognized for his outstanding contributions to communication engineering through multiple awards and distinctions. His work has been featured in leading IEEE journals and conferences, reflecting its high impact. He has received research funding for pioneering studies in adaptive filtering and 6G communications. His role as a reviewer for IEEE Transactions and other esteemed journals highlights his credibility in the research community. Additionally, his patents in noise cancellation circuits for military aircraft showcase his practical innovations in engineering.

Research Focus🔬

Dr. Hajiabadi specializes in 6G wireless communication, adaptive filters, beamforming, noise cancellation, and machine learning applications in signal processing. His research emphasizes optimizing wireless networks using intelligent systems, including channel estimation, equalizers, and interference suppression. His work extends to satellite communication, reconfigurable intelligent surfaces, and AI-driven adaptive systems, addressing real-world challenges in next-generation telecommunications. With a strong emphasis on both theoretical advancements and hardware implementation, his contributions shape the future of wireless connectivity and intelligent communication networks.

Publication Top Notes

🔹 Recursive Maximum Correntropy Learning Algorithm with Adaptive Kernel Size

      Year: 2017 🗓 | Cited by: 36 📑 | IEEE Transactions on Circuits and Systems II: Express Briefs

🔹 Adaptive Multitask Network Based on Maximum Correntropy Learning Algorithm

      Year: 2017 🗓 | Cited by: 19 📑 | International Journal of Adaptive Control and Signal Processing

🔹 Cooperative Spectrum Estimation Over Large‐Scale Cognitive Radio Networks

      Year: 2017 🗓 | Cited by: 15 📑 | IET Signal Processing

🔹 Distributed Adaptive LMF Algorithm for Sparse Parameter Estimation in Gaussian Mixture Noise

      Year: 2014 🗓 | Cited by: 14 📑 | 7th International Symposium on Telecommunications (IST’2014)

Conclusion

Dr. Mojtaba Hajiabadi is a distinguished researcher in communication engineering, specializing in 6G, wireless communication, adaptive filters, and AI-driven signal processing. With a Ph.D. from Ferdowsi University of Mashhad and research experience at KU Leuven, he has made significant contributions through high-impact publications in IEEE Transactions and other prestigious journals. His innovative work includes a patent on acoustic noise cancellation and collaborations on satellite signal detection and defense applications. As a dedicated educator and mentor, he shapes future researchers while actively reviewing for top academic journals. His international exposure, industry collaborations, and academic excellence make him a strong candidate for the Best Researcher Award.

 

Rui Wang | Electrical Engineering | Best Researcher Award

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Prof. Rui Wang | Electrical Engineering | Best Researcher Award

Prof. Rui Wang, Northeastern University, China

Dr. Rui Wang is a Professor at the College of Information Science and Engineering, Northeastern University, China. He specializes in energy internet, smart grids, stability analysis, and collaborative control strategies. Previously, he served as an Associate Professor at Northeastern University and worked at the National Natural Science Foundation of China. He has been a Visiting Scholar at Nanyang Technological University, Singapore. Dr. Wang has contributed significantly to power electronics, renewable energy systems, and microgrid stability. As an accomplished researcher, he has received numerous accolades for his publications and serves as an editorial board member and guest editor for prestigious IEEE journals.

Publication Profile

Scopus

Education 🎓📚

Dr. Rui Wang earned his Ph.D. in Power Electronics and Power Drive from Northeastern University, China (2016-2021). His doctoral research focused on advanced modeling techniques and stability control in smart grids. He completed his B.S. in Electrical Engineering and Automation from Northeastern University (2012-2016), where he developed a strong foundation in power systems, control strategies, and microgrid operations. Throughout his academic journey, he explored cutting-edge technologies in energy conversion, distributed control mechanisms, and DC microgrids, which laid the groundwork for his future research. His interdisciplinary knowledge integrates power systems, electronics, and control engineering, enabling innovative contributions to energy management and grid stability. His educational background supports his extensive research on stability-oriented control, power optimization, and distributed energy management, reflecting his dedication to advancing smart grid technologies and energy internet solutions.

Experience 🏢🔬

Dr. Rui Wang has held several key academic and research positions. Since January 2025, he has been a Professor at Northeastern University’s College of Information Science and Engineering. Previously, he served as an Associate Professor (2023-2024) and worked at the National Natural Science Foundation of China (2022), contributing to national energy research projects. From 2019 to 2020, he was a Visiting Scholar at Nanyang Technological University, Singapore, where he collaborated on energy internet and power electronics research. He has chaired multiple IEEE conferences and organized special sessions on power and renewable energy. His experience spans editorial roles for IEEE Transactions on Industrial Applications and IET Renewable Power Generation. Dr. Wang has been actively involved in microgrid stability research, multi-objective collaborative control, and power system optimization. His leadership in national and international projects has significantly contributed to developing robust and efficient smart grid systems.

Awards & Honors 🏆🎖

Dr. Rui Wang has received numerous prestigious awards recognizing his contributions to energy research. He was honored with the Best Paper Award from IEEE Transactions on Energy Conversion (2021) and IEEE Transactions on Consumer Electronics (2022). He also received the Best Reviewer Award from IEEE Transactions on Industrial Electronics and IEEE Transactions on Energy Conversion (2022). In 2023, he won the First Natural Science Award from both the Chinese Association of Automation and China Simulation Federation. Additionally, he was awarded the RINENG Distinguished Scientist and Young Investigator Award (2024). His excellence as an editorial board member and conference chair has been acknowledged through various IEEE recognitions. He has also been an Outstanding Reviewer for IEEE Transactions on Energy Conversion and Industrial Electronics (2022). His awards reflect his impactful research in power electronics, energy management, and smart grid optimization.

Research Focus 🔬⚡

Dr. Rui Wang’s research focuses on energy internet modeling, smart grids, and stability analysis. His work explores collaborative control strategies for microgrids, integrating renewable energy sources, and ensuring power system reliability. He specializes in dynamic aggregation modeling of boost converter systems, energy management in DC microgrids, and voltage/current control in distributed power systems. His research on multi-bus DC microgrids has contributed to stability-oriented droop coefficient identification, enhancing power flow optimization. He also investigates cyber-energy interactions, developing robust event-triggered control mechanisms for electric vehicle-to-grid systems. His work in artificial intelligence-based energy management strategies advances smart home power distribution. With a strong focus on multi-objective cooperative control, Dr. Wang’s research ensures efficient, stable, and scalable renewable energy integration, enhancing the resilience and sustainability of modern power networks. His contributions drive the future of energy-efficient, intelligent power systems. 🚀💡

 

Publication Top Notes

📄 Fully distributed energy management strategy for DC bus charging stations with three charging modes – R. Wang, X. Tian, Z. Wei, Q. Sun, P. Wang – Scientific Reports, 2025

⚡ A novel adaptive droop-based SoC balancing control strategy for distributed energy storage system in DC microgrid – L. Guo, X. Liu, X. Li, Z. Wang, Q. Sun – International Journal of Electrical Power and Energy System, 2025

🔋 Fixed-time quasi-consensus energy management method for battery energy storage systems in DC microgrids under two types of DoS attacks – L. Liu, K. Jiang, P. Xiong, R. Wang, Q. Sun – Journal of Energy Storage, 2025

🌍 Resilience enhancement strategy of multiple microgrids based on distribution station area considering two-level power management – X. Liu, X. Li, X. Li, H. Ren, Q. Sun – Energy, 2025

🛠️ Guaranteed Disturbance Compensation and Robust Fault Detection Based on Zonotopic Evaluation – S. Fu, R. Wang, W. Tang, X. Sun – International Journal of Robust and Nonlinear Control, 2025

⚙️ Transient Stability Analysis and Improvement of Multiinverter-Based Microgrid – D. Li, Q. Sun, R. Wang, X. Yu – IEEE Transactions on Industrial Electronics, 2025

📡 Data-Driven Dynamic Periodic Event-Triggered Control for Uncertain Linear Systems With Guaranteed Extended Dissipativity – W. Qi, Y. Wang, R. Wang, K. Liu – International Journal of Robust and Nonlinear Control, 2025

🌱 An equivalent thermal model for dynamic analysis of integrated electricity and heat systems for renewable energy accommodation – Q. Sun, R. Wang – IET Renewable Power Generation, 2025

🔗 Recursive Remote State Estimation for Stochastic Complex Networks with Degraded Measurements and Amplify-and-Forward Relays – T. Liu, Z. Wang, Y. Liu, R. Wang – IEEE Transactions on Network Science and Engineering, 2025

⚖️ Adaptive SOC equalization of an islanded DC microgrid considering line impedance and energy storage capacity – X. Liu, H. Cao, L. Lan, R. Wang, Q. Sun – Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2025

Conclusion

Rui Wang is a highly suitable candidate for the Best Researcher Award due to his strong publication record, leadership roles, national and international awards, and successful research funding. His expertise in Energy Internet and Smart Grid Stability aligns with pressing energy challenges. While increased industry collaboration and international funding could further enhance his profile, his current achievements make him a strong contender for the award.

 

Manjunath Thindlu Rudrappa | Engineering | Best Researcher Award

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Mr. Manjunath Thindlu Rudrappa | Engineering | Best Researcher Award

Mr. Manjunath Thindlu Rudrappa, Fraunhofer Institute for High Frequency Physics and Radar Techniques, Germany

Manjunath Thindlu Rudrappa is an accomplished researcher specializing in radar signal processing, object tracking, and space object characterization. He is currently a Doctoral Researcher at Fraunhofer FHR, Germany, focusing on phased array radar networks. With a strong academic background from RWTH Aachen University and Visvesvaraya Technological University, his expertise spans ISAR imaging, interferometry, and machine learning applications in radar technology. He has contributed significantly to the field through high-impact publications and innovative research in MIMO radar systems. Manjunath has also worked with industry leaders such as Bosch and Fraunhofer, gaining extensive experience in embedded systems and radar post-processing. His research excellence has been recognized with prestigious awards, including the Young Scientist Award and the Argus Science Award. Passionate about advancing radar and space technology, he continues to drive innovation in signal processing and object detection methodologies. 🚀📡

Publication Profile

Google Scholar

📚 Education

Manjunath earned his Bachelor of Engineering (B.E.) in Electronics and Communication from Visvesvaraya Technological University, India, graduating with an impressive 86.41% aggregate. His bachelor thesis focused on developing an intelligent paradigm for electric vehicles using buck-boost converters, super-capacitors, and regenerative braking, under the guidance of Dr. Bhakthavatsalam and Mr. Gowranga K.H from IISc Bangalore. He pursued his Master of Science (M.Sc.) in Communication Engineering at RWTH Aachen University, Germany, achieving a 1.5 aggregate. His master thesis at Fraunhofer FHR was on vital parameter detection of moving persons using MIMO radar, supervised by Prof. Dr.-Ing Peter Knott and Dr.-Ing Reinhold Herschel. Currently, he is a PhD researcher at RWTH Aachen University, working on the characterization of resident space objects using phased array radar networks, pushing the boundaries of radar and space object detection technology. 🎓📡

💼 Experience

Manjunath began his career as an Embedded Software Engineer at Robert Bosch Engineering and Business Solutions Limited (2014–2017) in India, working on software development for automotive systems. Moving to Bosch Engineering GmbH, Germany, he served as an Embedded Application Software Developer (2018–2019), specializing in software solutions for automotive applications. His transition to Fraunhofer FHR in Germany marked his entry into radar research, where he worked as a Work Student (2019–2020) on vital parameter estimation, detection, tracking, and clustering. Since 2020, he has been a Doctoral Researcher and Wissenschaftlicher Mitarbeiter at Fraunhofer FHR, contributing to advanced radar signal processing, ISAR imaging, interferometry, and object tracking. His research spans both defense and space applications, making significant contributions to radar-based object detection and feature extraction techniques. 🔬🚀

🏆 Awards & Honors

Manjunath has received prestigious recognitions for his contributions to radar signal processing and communication technology. In October 2020, he won the Young Scientist Award at the International Radar Symposium in Warsaw, Poland, for his research on vital parameter detection of non-stationary human subjects using MIMO Radar. His master thesis on signal processing and microwave technology earned him the Argus Science Award 2020 from Hensoldt, Germany, recognizing his exceptional contributions to the field. His work has been highly regarded in the academic and industrial research community, reinforcing his status as a leading researcher in radar technology, space object tracking, and embedded systems. 🏅📡

🔬 Research Focus

Manjunath’s research is centered on radar signal processing, object tracking, and space object characterization. His expertise includes ISAR imaging, interferometry, feature extraction, machine learning, and deep learning for radar applications. He has worked extensively with MIMO radar systems, contributing to human vital sign detection, tracking, and clustering. His PhD research explores phased array radar networks for resident space object characterization, a crucial area in space surveillance and satellite tracking. Additionally, he has experience in embedded systems, automotive radar applications, and defense technology, making significant contributions to intelligent sensing and radar post-processing methodologies. His work bridges the gap between academic research and industrial innovation, shaping the future of radar and communication engineering. 🌍📡🚀

Publication Top Notes

1️⃣ Moving human respiration sign detection using mm-wave radar via motion path reconstruction – Cited by: 17 | Year: 2021 📡👤💨
2️⃣ Vital parameters detection of non-stationary human subject using MIMO radar – Cited by: 11 | Year: 2020 📡🔬🧍
3️⃣ Distinguishing living and non-living subjects in a scene based on vital parameter estimation – Cited by: 8 | Year: 2021 🔍👤🏠
4️⃣ Characterisation of resident space objects using multistatic interferometric inverse synthetic aperture radar imaging – Cited by: 4 | Year: 2024 🛰️📡📊
5️⃣ 3D reconstruction of resident space objects using radar interferometry and nonuniform fast Fourier transform from sparse data – Cited by: 4 | Year: 2022 🌍📡📉
6️⃣ Improvements of GESTRA—A phased-array radar network for the surveillance of resident space objects in low-Earth orbit – Cited by: 2 | Year: 2023 🚀🛰️📶
7️⃣ RSO feature extraction using Super Resolution Wavelets and Inverse Radon Transform – Cited by: 1 | Year: 2022 📡📊📉
8️⃣ High-resolution human clustering based on complex signal correlation coefficients – Cited by: 1 | Year: 2022 🏠📡📊
9️⃣ Characterisation of Resident Space Objects and Synchronisation Error Compensation in Multistatic Interferometric Inverse Synthetic Aperture Radar Imaging – Year: 2025 🛰️📡📊
🔟 Clusterung von Detektionen – Year: 2022 📡📍🔍

Conclusion

Mr. Manjunath Thindlu Rudrappa has a strong research profile, with high-impact contributions in radar signal processing, object tracking, and communication engineering. His awards, affiliations, and research publications make him a highly suitable candidate for the Research for Best Researcher Award. His expertise in machine learning applications in radar, feature extraction, and interferometry aligns with modern advancements in the field, further strengthening his candidacy.

Peng Shi | Power system | Best Researcher Award

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Dr. Peng Shi | Power system | Best Researcher Award

Dr. Peng Shi, State Grid Sichuan Electric Power Research Institute, China

📜 Peng Shi received his PhD in Electrical Engineering from Zhejiang University in 2019. He is currently a researcher at the State Grid Sichuan Power Science Research Institute, affiliated with the State Grid Corporation of China. His expertise lies in power system stability and control, contributing significantly to energy infrastructure advancements. Through his role in conceptualization, he has provided intellectual leadership in various projects, promoting innovative approaches to address challenges in modern power systems.

Publication Profile

scopus

Education

🎓 Peng Shi completed his PhD in Electrical Engineering at Zhejiang University, Hangzhou, China, in 2019. His academic journey equipped him with in-depth knowledge of power systems and their complexities. The rigorous curriculum, combined with hands-on research experience, allowed him to explore various aspects of power system stability and control. His studies laid a solid foundation in advanced electrical engineering concepts, preparing him for impactful research and contributions to the energy sector.

Experience

🛠️ Peng Shi has been serving as a researcher at the State Grid Sichuan Power Science Research Institute since earning his doctorate in 2019. His role involves leading and contributing to projects focused on power system stability and control mechanisms. As a key contributor in the conceptualization phase, he has provided innovative insights that drive forward-thinking solutions. His collaboration with energy experts and engineers has supported the development of more resilient and efficient power grids across China.

Research Focus

🔎 Peng Shi’s research focuses on power system stability and control, a vital area ensuring the reliability of modern energy grids. His work aims to develop innovative control strategies that enhance the resilience and efficiency of electrical systems. By addressing challenges in grid management and renewable energy integration, his contributions promote sustainable and stable energy infrastructure. His role in conceptualizing advanced models and simulation frameworks has paved the way for smarter and more adaptive power systems.

Publication Top Notes

A deep reinforcement learning based charging and discharging scheduling strategy for electric vehicles

Conclusion

Dr. Peng Shi is a strong candidate for the Best Researcher Award, given his academic credentials, institutional affiliation, and research contributions. If his work includes high-impact publications, significant citations, and practical applications in power system stability, he would be highly suitable for this recognition.

Bilal Elhajjar | Engineering | Industry Impact Academic Award

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Dr. Bilal Elhajjar | Engineering | Industry Impact Academic Award

Process Engineering & Development Manager at United Steel Industrial Co, Kuwait

Dr. Bilal Elhajjar is a seasoned engineering professional and academic with over 18 years of experience in the steel and energy industries. He specializes in process engineering, logistics optimization, hydrogen management, and supply chain strategies. As the Process Engineering, Development, and Logistics Manager at KWTSTEEL, he has led over 1000 projects, including steel plant revamps, cost reduction initiatives, and feasibility studies. His expertise spans project management, industrial research, and technical leadership, saving his company approximately $1 million annually through optimized logistics. Academically, he holds a PhD in Fluid Mechanics and has contributed to cutting-edge research in nanofluidics, heat transfer, and industrial process modeling, with multiple high-impact publications. Previously, he served as an Assistant Professor and postdoctoral researcher, bridging academia and industry. His multidisciplinary knowledge and leadership in both industrial and academic settings make him a distinguished figure in engineering and applied research.

Professional Profile

Education 🎓

Dr. Bilal Elhajjar holds a PhD in Fluid Mechanics and Heat and Mass Transfer from the University of Toulouse, where he graduated with the highest honors. He also earned a MicroMaster in Supply Chain Management from the Massachusetts Institute of Technology (MIT) in 2022. His academic journey includes a Master’s degree in Fluid Dynamics and Heat Transfer from the University of Toulouse, where he was the valedictorian, and a Bachelor’s degree in Engineering from the Lebanese University, also graduating as valedictorian. He has further specialized in renewable energy, earning Galileo Master Certificates in Hydrogen Energy and Renewable Energy Management & Finance from the Renewable Energy Institute. Additionally, he is a certified Hydrogen Energy Consultant Expert. Dr. Elhajjar has continuously enhanced his expertise through certifications in contract law (Harvard University), project management, and advanced quality techniques, equipping him with a strong foundation in both engineering and business management.

Experience 🌟

Dr. Bilal Elhajjar has over 18 years of professional experience spanning the steel, energy, and academic sectors. Since 2012, he has served as the Process Engineering, Development, and Logistics Manager at KWTSTEEL, where he has led over 1000 projects, optimizing supply chain operations, reducing costs, and enhancing plant efficiency. His expertise includes feasibility studies, process control, and commissioning steel plants and equipment. Prior to this, he was an Assistant Professor at the University of Evry Val d’Essonne, where he developed engineering courses and collaborated with industries on applied research projects. He also worked as a postdoctoral researcher at the University of Toulouse, contributing to nanofluidics and heat transfer studies. His career includes research stints at the University of Calgary and collaborations with Airbus and Gaztransport. With a strong blend of industrial leadership and academic research, Dr. Elhajjar has significantly contributed to engineering advancements and operational excellence.

Research Interests 🔬

Dr. Bilal Elhajjar’s research interests span fluid mechanics, heat and mass transfer, nanofluidics, hydrogen energy, and industrial process optimization. His work focuses on enhancing efficiency in energy-intensive industries, particularly in steel manufacturing and hydrogen management. He has conducted extensive research on heat transfer modeling, separation of fluid mixtures, and the application of nanotechnology to improve thermal properties of fluids. His studies on Soret-driven convection and thermo-gravitational separation have contributed to advancements in porous media research. Additionally, he has explored hydrogen energy applications, sustainable industrial practices, and supply chain optimization. His research bridges academia and industry, applying scientific principles to real-world engineering challenges, including logistics efficiency and cost reduction in manufacturing. With numerous high-impact publications, Dr. Elhajjar continues to advance knowledge in energy systems, process engineering, and sustainable industrial solutions, making significant contributions to both theoretical research and practical industry applications.

Awards 🏆

Dr. Bilal Elhajjar has been recognized for his outstanding contributions to engineering, research, and industrial process optimization. He graduated as the valedictorian in both his Bachelor’s and Master’s degrees, reflecting his academic excellence. His PhD in Fluid Mechanics from the University of Toulouse was awarded with the highest honors, acknowledging his pioneering research in heat transfer and fluid dynamics. Throughout his career, he has received various professional certifications and recognitions, including Galileo Master Certificates in Hydrogen Energy and Renewable Energy Management & Finance from the Renewable Energy Institute. His innovations in steel manufacturing and logistics optimization, which saved approximately $1 million annually, have positioned him as a leader in industrial process improvement. Additionally, he has been a visiting researcher at the University of Calgary and has collaborated with global organizations like Airbus and Gaztransport. His contributions continue to earn him recognition in both academic and industrial circles.

Research Skill  🔍 

Dr. Bilal Elhajjar possesses exceptional research skills in fluid mechanics, heat and mass transfer, nanofluidics, hydrogen energy, and industrial process optimization. He excels in numerical modeling, computational simulations, and experimental analysis, applying advanced methodologies to solve complex engineering challenges. His expertise includes finite element analysis, thermal modeling, and process simulation, which he has utilized in industrial research and academic studies. He has conducted groundbreaking research on Soret-driven convection, thermo-gravitational separation, and nanotechnology applications in heat transfer, leading to multiple high-impact publications. Dr. Elhajjar is adept at conducting feasibility studies, analyzing industrial processes, and optimizing supply chains, integrating research-driven strategies to enhance operational efficiency. His ability to bridge theoretical research with practical industry applications makes him a valuable contributor to both academia and engineering fields. With strong analytical, problem-solving, and technical writing skills, he continues to innovate in energy management, sustainable manufacturing, and process improvement.

Conclusion 

Dr. Bilal Elhajjar is a strong candidate for the Industry Impact Academic Award due to his extensive industrial expertise, leadership in engineering projects, and research contributions. His ability to bridge academia and industry is commendable, especially in process optimization, logistics, and hydrogen management. Strengthening the direct link between research and industry-wide impact could further enhance his application. Overall, his credentials align well with the award’s objectives.

Top Noted Publications 📚

  • Author(s): Bilal Elhajjar, Mohamed Samir Larhrib, Davide Mombelli

  • Year: 2025

  • Title: Consequences of Switching From Lime to Dololime Fines Injection in Electric Arc Furnace

  • Journal: Engineering Reports

  • DOI: 10.1002/eng2.70095

  • Type: Journal Article

  • Publication Date: March 2025

Iqbal Singh | Supercapacitor | Best Researcher Award

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Mr. Iqbal Singh | Supercapacitor | Best Researcher Award

Mr. Iqbal Singh, Southern Illinois University Edwardsville, United States

Iqbal Singh is a dedicated researcher and engineer specializing in electrical and computer engineering. He is currently pursuing his Master of Science at Southern Illinois University Edwardsville (SIUE), focusing on computational modeling of supercapacitors. With a strong academic background, he holds a B.Tech in Electrical & Electronics Engineering from IK Gujral Punjab Technical University. His expertise spans power systems, digital VLSI design, and renewable energy simulations. As a research assistant, he has contributed to multiple IEEE and Elsevier publications. Passionate about innovation, he has also taught electrical engineering courses and actively volunteers in mentorship programs. ⚡📡

Publication Profile

Scopus

Education 🎓📚

Iqbal Singh is advancing his expertise in Electrical and Computer Engineering through an M.S. at SIUE (2023-2025). His research focuses on energy storage systems, particularly supercapacitors, using COMSOL Multiphysics for thermal and electrical simulations. He previously earned a B.Tech in Electrical & Electronics Engineering from IK Gujral Punjab Technical University, graduating with an 8.05/10 CGPA. His coursework covered Power System Analysis, Digital VLSI Design, Bioinstrumentation, and High-Frequency Design. Throughout his academic journey, he has engaged in various workshops, including Machine Learning, Cloud Computing, and Renewable Energy Simulation, solidifying his technical proficiency. ⚙️🔋

Experience 🏫🔍

Iqbal Singh is currently a Graduate Research Assistant at SIUE, where he conducts advanced simulations on supercapacitors and publishes in leading scientific journals. Previously, he served as a Lecturer in Electrical Engineering at Satyam Polytechnic & Pharmacy College (2021-2023), teaching Energy Conservation, Electrical Engineering Fundamentals, and Digital Electronics. His industry-relevant expertise extends to microcontrollers, PLC programming, circuit design, and MATLAB simulations. Additionally, he has led multiple research projects, including density-based traffic light control systems and thermal modeling of MoS₂ electrodes. His professional journey reflects a blend of academic rigor and practical implementation in energy storage and power systems. 🏗️🔌

Awards & Honors 🏆🎖️

Iqbal Singh has been recognized for his outstanding academic and research contributions. He was featured in GradNews 2025 by SIUE and secured 1st position twice in the B.Tech Merit List at IK Gujral Punjab Technical University. His research publications in IEEE, Elsevier, and SPIE have garnered international recognition. He has also been awarded for his exceptional work in computational modeling and optimization of supercapacitors. Through active participation in professional societies like IEEE and SPIE, he continues to enhance his technical knowledge and contribute to groundbreaking research in electrical engineering. 🌍📖

Research Focus 🔬⚡

Iqbal Singh’s research primarily revolves around supercapacitor optimization, energy storage systems, and computational modeling. His work includes analyzing thermal effects on MoS₂ electrodes in KOH electrolytes, utilizing convex optimization techniques for improving supercapacitor energy density, and investigating free-space optics transmission. His interdisciplinary approach integrates digital VLSI design, renewable energy simulations, and biomedical applications of hydrogels. His research, published in IEEE, Elsevier, and SPIE conferences, aims to enhance energy storage efficiency, bridging the gap between computational modeling and practical applications in electrical engineering. 🔋📡

Publication Top Notes

  • “A Review on Supercapacitors: Development Trends, Challenges, and Future Perspectives” (2025)

  • “Computational Modeling of Thermal Effects on MoS₂ Electrodes in KOH Electrolyte” (2024)

    • Presented at IEEE ICIITCEE 2024, Bangalore, India

  • “Convex Optimization Method for Modeling Energy Density of Supercapacitor” (2024)

  • “Maximizing Supercapacitor Performance: Boosting Energy Storage with Convex Optimization” (2024)

  • “Overview of Hydrogels and Hydrogels-Based Actuators for Biomedical Applications” (2022)

  • “A 160 Gbps Free-Space Optics Transmission Enabled by DP-256-QAM and DSP Algorithms” (2022)

Jianyu Pan | Electrical Engineering | Best Researcher Award

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Prof. Jianyu Pan | Electrical Engineering | Best Researcher Award

Prof. Jianyu Pan, Chonqing University, China

Prof. Jianyu Pan is a leading researcher in electrical engineering, specializing in power converters, SiC electric drives, and high-voltage discharge protection. He earned his Ph.D. in Electrical Engineering from The Ohio State University, USA (2019) under Prof. Longya Xu (IEEE Fellow). He also holds an M.S. (2014) and B.S. (2011) from Chongqing University, China. Currently a Professor at Chongqing University, he has secured multi-billion-dollar research funding, published 29 SCI papers, and holds 34 patents. As an IEEE committee member and editor, he contributes significantly to power electronics and energy systems. ⚙️🔋

Publication Profile

Google Scholar

Education 🎓

Prof. Jianyu Pan holds a Ph.D. in Electrical Engineering from The Ohio State University, Columbus, Ohio, U.S.A., where he studied from August 2014 to August 2019 under the guidance of Prof. Longya Xu (IEEE Fellow). Prior to this, he earned his M.S. in Electrical Engineering from Chongqing University, China, completing his studies between September 2011 and June 2014 under Prof. Ju Tang. His academic journey began at the School of Electrical Engineering, Chongqing University, where he obtained his B.S. in Electrical Engineering from September 2007 to June 2011.

Professional Experience 🏅

Prof. Jianyu Pan has an extensive background in research and academia. From October 2019 to October 2022, he completed his post-doctoral research at Chongqing University, China. Since January 2022, he has been serving as a Professor at the State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University. Previously, from December 2019 to December 2021, he worked as a Lecturer at the same institution. His research experience also includes a tenure as a Research Assistant at the Department of Electricity and Electronics, The Ohio State University, Columbus, U.S.A., from January 2016 to August 2019.

Research Experience

Prof. Jianyu Pan is a distinguished electrical engineer specializing in power electronics, SiC electric drives, and high-voltage energy systems. He serves as a Professor at Chongqing University and has led multiple high-impact research projects, securing billions in funding from organizations like the NSFC, DOE, and Southern Power Grid. His expertise spans power conversion, energy storage, and electrification of transportation systems. With a strong background in SiC-based technologies, he has pioneered innovations in high-efficiency, high-reliability power systems. His contributions are shaping the future of smart grids and sustainable energy solutions. ⚙️⚡🚢✈️

Honors and Awards

Prof. Jianyu Pan has received numerous prestigious honors for his contributions to electrical engineering and power electronics. In 2024, he was recognized as a Chongqing Science and Technology Leader for his pioneering research in high-efficiency power systems. His exceptional work earned him a place in the National Overseas Excellent Youth Program in 2021, highlighting his global impact. In 2020, he was selected for the Chongqing Yingcai Young Top Talents program, reflecting his leadership in innovative research. Additionally, in 2022, he was honored as an Excellent Innovation and Entrepreneurship Mentor for Chongqing University Students, recognizing his dedication to guiding future engineers. 🚀🏆⚡

Research Interest

Prof. Jianyu Pan is a leading researcher in electrical engineering, specializing in power converters, SiC electric drives, and high-voltage discharge protection. His work focuses on high-efficiency, high-power-density power conversion systems, energy generation and storage, and the electrification of ships and aircraft. As a Professor at Chongqing University, he has contributed to cutting-edge research in power electronics. With numerous publications, patents, and major funded projects, he plays a key role in advancing next-generation energy technologies. His expertise drives innovation in sustainable and efficient electrical power systems. ⚙️⚡✈️

Publication Top Notes

1️⃣ Correlation analysis between formation process of SF6 decomposed components and partial discharge qualities – Cited by: 149 (2013) ⚡📄
2️⃣ Decomposition characteristics of SF6 under thermal fault for temperatures below 400°C – Cited by: 103 (2014) 🔥🔬
3️⃣ 7-kV 1-MVA SiC-based modular multilevel converter prototype for medium-voltage electric machine drives – Cited by: 83 (2020) ⚙️🔋
4️⃣ Hardware design of a 1.7 kV SiC MOSFET based MMC for medium voltage motor drives – Cited by: 56 (2018) 🖥️⚡
5️⃣ Relationship between decomposition gas ratios and partial discharge energy in GIS, and the influence of residual water and oxygen – Cited by: 47 (2014) 🏭🧪
6️⃣ Double-vector model predictive control for single-phase five-level actively clamped converters – Cited by: 45 (2019) 🚗⚙️
7️⃣ Influence regularity of trace H₂O on SF6 decomposition characteristics under partial discharge of needle-plate electrode – Cited by: 43 (2015) 💧⚠️
8️⃣ Computationally efficient model predictive control with fixed switching frequency of five-level ANPC converters – Cited by: 41 (2021) 🔄⚡
9️⃣ An optimized model predictive control for three-phase four-level hybrid-clamped converters – Cited by: 40 (2019) 🏎️🔋
🔟 Capacitor voltage ripple estimation and optimal sizing of modular multi-level converters for variable-speed drives – Cited by: 35 (2020) ⚙️🔄

 

HARPREET AASI | Engineering | Women Researcher Award

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HARPREET AASI | Engineering | Women Researcher Award

Dr HARPREET AASI, INDIAN INSTITUTE OF TECHNOLOGY BOMBAY, India

Dr. Harpreet Aasi is a Postdoctoral Fellow in Thermal Engineering at IIT Bombay (2024–present). He holds a Ph.D. in Thermal Engineering from IIT Roorkee (2014–2020), an M.Tech. from NIT Raipur, and a B.E. in Mechanical Engineering. His expertise lies in heat transfer enhancement, particularly using ultrasound in electronic cooling systems, involving both numerical (ANSYS Fluent) and experimental methods. A recipient of multiple awards, including the Silver Medal at NIT Raipur, Dr. Aasi has contributed to prestigious projects sponsored by CSIR and DST. He is also an active reviewer for high-impact journals and has published extensively in heat exchanger optimization. 📚💡

Publication Profile

Scopus

Education

Dr. Harpreet Aasi is a distinguished researcher specializing in thermal engineering. Currently, he is pursuing a Postdoctoral Fellowship at the Indian Institute of Technology Bombay (March 2024 – present). He earned his Ph.D. with honors in Thermal Engineering from IIT Roorkee (2014-2020) and completed an M.Tech. in Thermal Engineering with an impressive CPI of 8.96/10 at NIT Raipur (2011-2013). His academic journey began with a B.E. in Mechanical Engineering from New Government Engineering College Raipur, achieving a stellar CPI of 8.99/10 (2006-2010). Dr. Aasi’s dedication to academics is reflected in his strong foundations, scoring 76% in Intermediate (2005-2006) and 85% in Matriculation (2003-2004). 📚✨

Experience

Dr. Aasi conducted numerical (Ansys Fluent) and experimental studies (non-intrusive optical techniques) on single-phase and two-phase flow boiling processes for electronic cooling systems. This research explored the effect of ultrasound parameters, demonstrating its potential for enhancing heat transfer. Ph.D. Research: Investigations on Three-fluid Compact Plate-fin Heat Exchanger 🌡️📊 Dr. Aasi performed extensive experimental and numerical investigations (MATLAB coding) under transient and steady states, addressing flow maldistribution, inlet temperature non-uniformity, and ambient heat interaction. Innovative modeling optimized geometrical attributes for diverse plate-fin types. M.Sc. Research: Parametric Study of Orthotropic Annular Fin with Contact Resistance 🌀🛠️ Dr. Aasi developed a 2D dimensionless steady-state model to assess the thermal performance of orthotropic annular fins, focusing on polymer matrix composites with axis-dependent properties.

Award and Scholarships

Dr. Harpreet Aasi has an impressive academic record, including a Silver Medal at the National Institute of Technology (NIT) Raipur in 2012-2013 🥈. He received the Academic Excellence Award at NIT Raipur in 2011-2012 🎓. Ranked 10th in the Chhattisgarh Swami Vivekanand Technical University state toppers list, he was 1st in New Government Engineering College Raipur in 2010 🏆. Dr. Aasi secured prestigious fellowships, including the Institute Postdoctoral Fellowship at IIT Bombay in 2024 🧑‍🔬 and MHRD scholarships for his Ph.D. (2014-2019) and M.Tech. (2011-2013) 📚. Additionally, he earned state-level merit scholarships during his B.E. studies (2007-2010) 🏅.

Project contribution

Dr. Harpreet Aasi has conducted groundbreaking research on optimizing the performance of three-fluid heat exchangers through both numerical and experimental investigations. Sponsored by CSIR, this research aims to improve heat transfer efficiency and system performance. Additionally, his study on the effect of temperature and flow nonuniformities on three-fluid compact heat exchangers, sponsored by DST, delves into understanding how such factors influence overall efficiency. These contributions are crucial in advancing thermal management systems, with potential applications in various industries, from energy to manufacturing. 🌡️🔧

Research focus

Dr. Harpreet Aasi’s research primarily focuses on the thermo-hydraulic performance and optimization of multi-fluid heat exchangers, particularly three-fluid systems. His work investigates the effects of flow non-uniformity, ambient heat ingression, and temperature nonuniformity on the efficiency and dynamic behavior of cross-flow and plate-fin heat exchangers. Using advanced techniques like Artificial Neural Networks (ANN) and second law analysis, he aims to improve heat exchanger designs for enhanced thermal management in various engineering applications. His research is crucial for energy efficiency and thermal optimization in industries such as cryogenics, power generation, and heat recovery. 🔥🔧⚙️💡

Publication top notes

Investigation on cross-flow three-fluid compact heat exchanger under flow non-uniformity: an experimental study with ANN prediction

The impact of ambient heat ingression on performance of cryogenic three-fluid cross-flow compact heat exchanger

Experimental investigation and ANN modelling on thermo-hydraulic efficacy of cross-flow three-fluid plate-fin heat exchanger

Detailed design optimization of three-fluid parallel-flow plate-fin heat exchanger using second law analysis

Influence of flow non-uniformity on the dynamic behaviour of three-fluid cross-flow compact heat exchanger

A novel equivalence approximate model for second law based optimization of three-fluid cross-flow plate-fin heat exchanger using genetic algorithm

 

Suganya. R | Engineering | Best Researcher Award

Published on by Global Academic Awards

Dr. R. Suganya| Engineering | Best Researcher Award

Associate Professor,  Dr.  N.G.P Institute of Technology,  India.

Dr. R. Suganya, an Associate Professor at Dr. N.G.P Institute of Technology, has nearly 20 years of experience in engineering education. Her research focuses on mobile networks, IoT, and machine learning, resulting in 21 publications in Scopus-indexed journals. Notable achievements include the Academic Excellence Award from Novel Research Academy and multiple NPTEL accolades. As a mentor for the IITB-AICTE Mapathon, she has demonstrated her commitment to student engagement and collaborative learning. Dr. Suganya’s impressive contributions to academia and research make her a deserving candidate for the Research for Best Researcher Award.

Publication Profile

Google Scholar

Educational Background 

Dr. R. Suganya holds a commendable academic record, beginning with her Bachelor of Engineering (B.E.) in Electronics and Communication from V.L.B Janakiammal College of Engineering and Technology, where she graduated with First Class honors. She continued her education at Kumaraguru College of Technology, earning a Master of Engineering (M.E.) in Computer Science and Engineering with Distinction. Her commitment to academic excellence culminated in a Ph.D. from Anna University, Chennai, where she conducted advanced research, further solidifying her expertise in her field. This solid educational foundation underpins her effective teaching and innovative research contributions in engineering.

Professional Experiences

Dr. R. Suganya has a robust academic background, currently serving as an Associate Professor at Dr. N.G.P Institute of Technology since May 2023, following an extensive tenure of nearly 17 years at Sri Krishna College of Technology. Her teaching experience spans across various levels of engineering education, showcasing her dedication to nurturing the next generation of engineers. Additionally, her role as a lecturer at Nanjiah Lingammal Polytechnic College provided her with foundational teaching experience that further solidified her pedagogical skills.

Research Interests and Contributions

Dr. Suganya’s research interests are primarily in the domains of mobile networks, IoT, and machine learning, evidenced by her impressive publication record. She has authored 21 articles in Scopus-indexed journals, covering innovative topics such as channel allocation methods, secure voting systems, and cancer recognition frameworks. Her recent work involves the application of advanced algorithms and machine learning techniques, demonstrating her commitment to leveraging technology for real-world applications.

Awards and Achievements  

Dr. Suganya’s achievements have not gone unnoticed. She has received several accolades, including the Academic Excellence Award from Novel Research Academy and the NPTEL Discipline Star Award on two occasions. Her recognition as a mentor for the IITB-AICTE Mapathon further underscores her ability to guide students and foster collaborative learning environments. Such acknowledgments illustrate her impact within the academic community and her dedication to excellence in research and teaching.

Conclusion

In conclusion, Dr. R. Suganya’s extensive experience, notable research contributions, and numerous accolades make her an exceptional candidate for the Research for Best Researcher Award. Her commitment to academic excellence, coupled with her innovative research in technology, positions her as a leading figure in her field. Recognizing her contributions through this award would not only honor her achievements but also inspire others in the academic community to pursue excellence in research and education.

Publication Top Notes

  • Automated smart trolley with smart billing using Arduino 📝 (22) – 2016
  • Classification of DDoS attacks–A survey 📊 (13) – 2020
  • Simulation and Analysis of SVHM Technique for DCMLI under Transient Conditions with Non-Linear Loads 🔬 (8) – 2017
  • Blockchain based secure voting system using IoT 🔒 (6) – 2020
  • Reduction of THD in Single Phase AC to DC Boost Converter using PID controller ⚡ (6) – 2014
  • Fuzzy rough set inspired rate adaptation and resource allocation using Hidden Markov Model (FRSIRA-HMM) in mobile ad hoc networks 🧠 (5) – 2019
  • Automated Toll Plaza System Using RFID and GSM Technology 🚦 (5) – 2018
  • Tamper detection using watermarking scheme and k-mean clustering for bio-medical images 🖼️ (5) – 2016
  • Voltage control of AC-DC converter using sliding mode control ⚙️ (5) – 2013
  • Air Quality Monitoring System with Emergency Alerts Using IoT 🌍 (4) – 2021
  • Detect fake identities using improved Machine Learning Algorithm 🔍 (4) – 2021
  • Smart sentimental analysis of the impact of social media on COVID-19 📱 (4) – 2021
  • Pathogenesis of oral squamous cell carcinoma—an update 🦷 (4) – 2019
  • Identifying and Ranking Product Aspects based on Consumer reviews 🛍️ (4) – 2015
  • An Iterative Image Restoration Scheme for Degraded Face Images 🖥️ (4) – 2013
  • Product review analysis by web scraping using NLP 📝 (3) – 2022
  • An Erlang Factor integrated channel allocation method for boosting quality of services in mobile ad hoc networks 📶 (3) – 2018
  • Denial-of-Service Attack Detection Using Anomaly with Misuse Based Method 🚫 (3) – 2016
  • Development and Proposal System for the Formulation of Solar paint 🌞 (2) – 2021
  • Immunohistochemical expression of Bcl‑2 in oral squamous cell carcinoma 🩺 (2) – 2009