Mr. Pawan Gaire | Applied Electromagnetics | Best Researcher Award

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Mr. Pawan Gaire | Applied Electromagnetics | Best Researcher Award

University of Nebraska Lincoln, United States.

Pawan K. Gaire is a Ph.D. candidate in Electrical Engineering at the University of Nebraska-Lincoln, specializing in electromagnetic (EM) simulation, numerical modeling, and RF/antenna design. With expertise in tools like HFSS, ADS, and COMSOL, he has a strong background in designing innovative wireless communication and power transfer systems. His research focuses on advanced computational techniques, including Physics Embedded Neural Networks (PENN) for solving complex electromagnetic problems.

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🎓 Education

Mr. Pawan Gaire is a dedicated scholar in the field of Electrical Engineering, currently pursuing his Ph.D. at the University of Nebraska-Lincoln (2022-2025) with a perfect GPA of 4.0. Prior to this, he earned his M.S. in Electrical Engineering from Florida International University (2019-2022), achieving an impressive GPA of 3.96. His academic journey began at Howard University, where he completed his B.S. in Electrical Engineering (2015-2019) with Summa Cum Laude honors and a GPA of 3.89. With a strong academic background and a commitment to excellence, Mr. Gaire continues to contribute to advancements in electrical engineering.

đź’Ľ Experience

Mr. Pawan Gaire has extensive research experience in electrical engineering, specializing in electromagnetics, antenna design, and wireless power transfer. Currently serving as a Research Assistant at the University of Nebraska-Lincoln (2022-Present), he has developed PENN, a novel neural network-based approach for solving Maxwell’s equations. His work also includes designing and fabricating sub-100 MHz multi-band antenna arrays using multiferroic heterostructures and simulating vector vortex wave generation for high-capacity tunnel communication.

Previously, as a Research Assistant at Florida International University (2019-2022), Mr. Gaire contributed to the development of an ad-hoc wireless power transfer system for smartphone charging and pioneered clothing-integrated rectifiers for efficient RF-to-DC conversion. Additionally, he conducted market validation for wearable charging devices under the NSF I-Corps program, showcasing his ability to bridge engineering innovation with commercial applications.

🛠️ Internships

SLAC National Accelerator Laboratory (2018) – Designed testbench for Hard X-ray systems.

DiCarlo Lab, MIT (2017) – Benchmarked AI models against primate vision.

Center for Integrated Quantum Materials (2016) – Fabricated and characterized diamond field-effect transistors.

🏆 Research Interests

Electromagnetic (EM) Simulation & RF Design: Expertise in Ansys HFSS, COMSOL, and ADS for antenna and circuit design.

Physics Embedded Neural Networks (PENN): Development of AI-driven solutions for scientific computing.

Wireless Power Transfer (WPT): Innovative antenna designs for efficient energy transfer.

Numerical Modeling & Computational Electromagnetics: Application of Finite Element Method (FEM) in RF systems.

🏅 Awards & Recognitions

NSF I-Corps Grant Recipient – Validated market demand for wireless charging solutions.

IEEE Conference Presenter – Multiple research presentations at premier EM and RF conferences.

Summa Cum Laude – Graduated with highest honors from Howard University.

đź“š Publications

Physics Embedded Neural Network: Novel Data-Free Approach Towards Scientific Computing and Applications in Transfer Learning
Neurocomputing, 2025-02 | Journal Article
DOI: 10.1016/j.neucom.2024.128936
Contributors: Pawan Gaire, Shubhendu Bhardwaj

Data-Free Solution of Electromagnetic PDEs Using Neural Networks and Extension to Transfer Learning
IEEE Transactions on Antennas and Propagation, 2022-07 | Journal Article
DOI: 10.1109/TAP.2022.3186710
Contributors: Shubhendu Bhardwaj, Pawan Gaire

An Ergonomic Wireless Charging System for Integration With Daily Life Activities
IEEE Transactions on Microwave Theory and Techniques, 2021-01 | Journal Article
DOI: 10.1109/TMTT.2020.3029530
Contributors: Dieff Vital, Pawan Gaire, Shubhendu Bhardwaj, John L. Volakis

 

 

Prof. Dr. Chih-Hsien Hsia | Image Processing | Best Researcher Award

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Prof. Dr. Chih-Hsien Hsia | Image Processing | Best Researcher Award

National Ilan University, Taiwan.

Chih-Hsien Hsia is a distinguished professor and researcher in computer science, specializing in DSP IC Design, Computer Vision, Image Processing, and Cognitive Engineering. He holds dual Ph.D. degrees in Engineering Science from National Cheng Kung University and Electrical & Computer Engineering from Tamkang University, Taiwan. Currently, he serves as a Distinguished Professor at National Ilan University and holds key positions in AI research, industry collaborations, and professional organizations. His contributions to AI, image processing, and intelligent systems have earned him prestigious awards and widespread recognition.

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🎓 Education

Prof. Dr. Chih-Hsien Hsia holds dual Ph.D. degrees in Engineering Science from National Cheng Kung University, Taiwan, and Electrical & Computer Engineering from Tamkang University, Taiwan. His expertise spans multiple engineering disciplines, with a strong focus on cutting-edge technological advancements and interdisciplinary research.

đź’Ľ Experience

Prof. Dr. Chih-Hsien Hsia is a Distinguished Professor at National Ilan University (2024 – Present) and serves as the Executive Director of the AI Promotion Office at the same institution. He is also the Director of the AIoX Research Center at National Ilan University (2024 – Present).

Beyond his role at NIU, he has been an Honorary Distinguished Professor at Chaoyang University of Technology since 2022 and a Board Member of the Chinese Society of Consumer Electronics since 2018. Additionally, he holds the position of Vice Chair of the IEEE Taipei Chapter Signal Processing Society (2024 – Present).

Previously, he served as a Professor at National Ilan University (2020 – 2024) and was the Chairperson of the Department of Computer Science at NIU from 2021 to 2024. His leadership and research contributions have significantly advanced AI, signal processing, and computer science education.

🔬 Research Interests

đź–Ą DSP IC Design

đź“· Computer Vision & Image Processing

🧠 Cognitive Engineering

🏆 Awards & Honors

🥇 Taiwan International Science Fair (2025) – First Prize in Computer Science & Engineering

🏅 Best Paper Awards at IEEE Eurasia Conference on IoT, IET International Conference, National Defense Technology Academic Conference (2024)

🌟 World's Top 2% Scientists (2022)

🎖 Outstanding Young Scholar Award – Computer Society of the Republic of China (2018, 2020)

đź“š Notable Publications

Finger Vein Recognition Based on Vision Transformer with Feature Decoupling for Online Payment Applications
IEEE Access, 2025 | DOI: 10.1109/ACCESS.2025.3552075
Contributors: Liang-Ying Ke, Yi-Chen Lin, Chih-Hsien Hsia

Artificial Intelligence and Machine Learning in Sensing and Image Processing
Sensors, 2025-03-18 | DOI: 10.3390/s25061870
Contributors: Jing Chen, Miaohui Wang, Chih-Hsien Hsia

An Edge-Cloud Collaborative Scalp Inspection System Based on Robust Representation Learning
IEEE Transactions on Consumer Electronics, 2024 | DOI: 10.1109/TCE.2024.3474911
Contributors: Sin-Ye Jhong, Guan-Ting Li, Chih-Hsien Hsia

Tucker Decomposition and Log-Gabor Feature-Based Quality Assessment for the Screen Content Videos
IEEE Transactions on Instrumentation and Measurement, 2024 | DOI: 10.1109/TIM.2024.3381267
Contributors: Hailiang Huang, Huanqiang Zeng, Jing Chen, Junhui Hou, Chih-Hsien Hsia, Kai-Kuang Ma

Width-Adaptive CNN: Fast CU Partition Prediction for VVC Screen Content Coding
IEEE Transactions on Multimedia, 2024 | DOI: 10.1109/TMM.2024.3410116
Contributors: Chao Jiao, Huanqiang Zeng, Jing Chen, Chih-Hsien Hsia, Tianlei Wang, Kai-Kuang Ma

 

 

 

Dr. Nadir Fouad Bedjiah | Automotive | Best Researcher Award

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Dr. Nadir Fouad Bedjiah | Automotive | Best Researcher Award

Stellantis, France.

Nadir Fouad Bedjiah is a dedicated RF/EMC Research and Innovation Engineer at OPmobility, Paris, specializing in 4D Radar technology. With a strong background in electromagnetic compatibility (EMC) and embedded systems, he has contributed significantly to research, development, and validation methodologies for autonomous systems and ADAS technologies. His expertise spans antenna design, dielectric waveguides, and radar chipset evaluation. Nadir is also actively involved in supervising PhD candidates, publishing patents, and presenting his work at international symposiums.

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🎓 Education

Nadir Fouad Bedjiah holds a Ph.D. in EMC and Embedded Systems from Rouen University / IRSEEM ESIGELEC, where he developed new EMC methodologies for autonomous systems. He earned his Master’s in Communicating Systems and RF from Sorbonne University, Paris, specializing in embedded electronic systems and radio frequencies. His Bachelor’s in Electronics, Electrical Energy, and Automation from University of Perpignan Via Domitia provided him with a strong foundation in circuit design, automation, and power electronics.

đź’Ľ Experience

Nadir Fouad Bedjiah is currently an RF/EMC Research Engineer at OPmobility (Plastic Omnium), where he works on 4D Imaging Radar technology by designing and simulating antennas, dielectric lenses, and waveguides at 77GHz. He is also involved in radar chipset RF evaluation, EMC validation, and supervising PhD candidates, contributing to patents and international symposiums.

Previously, he was a Research Engineer at Stellantis (Ex: PSA), where he developed EMC methodologies for ADAS and autonomous systems, designed autonomous EE architectures and embedded software, and worked on vehicle remote reboot solutions. He also gained research experience as an intern at SEGULA Matra Automotive, focusing on electromagnetic modeling of radar systems for ADAS.

🧑‍🔬 Research Interests

📡 RF & Antenna Design – Focus on 77GHz dielectric waveguide antennas
⚡ Electromagnetic Compatibility (EMC) – Developing radiated immunity validation methods
🚗 Autonomous Vehicle Systems – Studying ADAS EE architecture & autonomous functions
📊 Simulation & Modeling – Using CST, FEKO, MATLAB for advanced RF/EMC simulations

🏆 Awards & Recognitions

Best Paper Award at IEEE EMC Symposium

Recognized for innovative EMC methodologies in automotive industry

Contributor to patent publications in 4D Radar Technology

đź“š Publications

đź“– Journal Articles

🔹 Methodology to Validate the Radiated Immunity of Sophisticated Automotive Autonomous Systems – Sensors, 2025
🔹 Methodology to Validate the Radiated Immunity of Very Complex Systems by a Succession of Simple Component Radiated Immunity Tests at System Level – IEEE EMCSI, 2022

 

 

Dr. Kai Zhang | Wireless communication | Best Researcher Award

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Dr. Kai Zhang | Wireless communication | Best Researcher Award

Air Force Engineering University, China

Dr. Kai Zhang is a dedicated researcher and academic in the field of wireless communications. Currently a lecturer at the Air Force Engineering University in Xi’an, China, his research explores innovative technologies like wireless channel modeling, UAV communication, and THz communication, placing him at the forefront of next-generation communication advancements. His work aims to revolutionize data transmission, sensing, and connectivity in both civilian and defense sectors.

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Education🎓

Kai Zhang holds a strong academic foundation in engineering, with a Ph.D. in Communication and Information Engineering from Shanghai University, completed in 2021. His doctoral studies focused on advanced communication technologies, laying the groundwork for his expertise in wireless networks and intelligent connectivity. Prior to his Ph.D., he earned a Master’s degree in Information Engineering from Shanghai Maritime University in 2016, where he deepened his knowledge in data transmission and network systems. His academic journey began with a Bachelor’s degree in Physics and Electronic Engineering from Taishan University in Tai’an, China, in 2014, providing him with a solid technical base in electronic and communication principles.

Experience🧑‍🏫

Kai Zhang is currently a lecturer at the Air Force Engineering University in Xi’an, China, a position he has held since 2023. In this role, he is dedicated to teaching and advancing research in the rapidly evolving fields of wireless communications and network technologies. Prior to this, from 2021 to 2023, he served as a Post-Doctoral Research Associate at the Institute of Intelligent Network Research at Zhejiang Lab in Hangzhou, China. During his postdoctoral tenure, he focused on groundbreaking research in intelligent network solutions, contributing to innovations that enhance connectivity and performance in complex communication systems.

Research Interests🔬

Wireless Channel Modeling: Enhancing and optimizing wireless signal propagation models.

UAV Wireless Communication: Advancing communications for unmanned aerial vehicles to support defense, logistics, and disaster response.

THz Wireless Communication: Pioneering ultra-high-speed communication channels essential for 6G and future networks.

Integrated Communication and Sensing: Developing systems for combined communication and real-time environmental sensing.

Awards🏆

Kai Zhang has earned recognition for his research contributions, particularly in wireless communication technologies, where his work has had a significant impact on both theoretical advancements and practical applications.

Publications Top Notesđź“š

"Cost-Oriented and Delay-Constrained Anycasting for Service Function Chain Provisioning Leveraging Cloud-Edge Collaboration in Space-Air-Ground Integrated Networks" – IEEE Internet of Things Journal, 2024.

Contributors: Yuanhao Liu, Yuxuan He, Yongjun Li, Xiang Wang, Kai Zhang, Min Ju, Zhiqiang Ma, Qin Tian. Link

"A Three-Dimensional Time-Varying Channel Model for THz UAV-Based Dual-Mobility Channels" – Entropy, 2024-10-30.

Contributors: Kai Zhang, Fenglei Zhang, Yongjun Li, Xiang Wang, Zhaohui Yang, Yuanhao Liu, Changming Zhang, Xin Li. Link

"A Multi-Objective Dynamic Mission-Scheduling Algorithm Considering Perturbations for Earth Observation Satellites" – Aerospace, 2024-08.

Contributors: Hai Li, Yongjun Li, Yuanhao Liu, Kai Zhang, Xin Li, Yu Li, Shanghong Zhao. Link

"Nonstationary Channel Modeling for Wireless Communications Underlaying UAV-Based Relay-Assisted IIoT Networks in the Subterahertz Band" – IEEE Internet of Things Journal, 2024-08-15.

Contributors: Kai Zhang, Changming Zhang, Hua Wang, Zhaohui Yang, Xianbin Yu, Yongjun Li. Link

"Three-Dimensional Geometry-Based Stochastic Model for Sub-Terahertz Air-to-Air UAV-MIMO Channels" – 2023 IEEE/CIC International Conference on Communications in China (ICCC), 2023-08-10.

Contributors: Kai Zhang, Hua Wang, Changming Zhang, Xianbin Yu, Yuanyuan Dong. Link