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.
Profile
🎓 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.
💼 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.
📚 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