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Bio
The foundation of my research is theoretical, computational, and statistical electromagnetics. The classical electromagnetic (EM) theory guided by Maxwell’s Equations has been around for over 150 years. It has an incredible impact on many modern technologies such as antennas and wireless communication, integrated circuits and computer technologies, remote sensing, lasers and optoelectronics, and more. Nowadays, with the exponential growth in computing power, machine intelligence and data revolution, quantum technologies and materials, there are enormous opportunities to continue advancing fundamental EM theories towards next- generation technology developments and applications.
My rudimentary research is the pursuit of mathematical and computational models that enable the prediction and discovery of classical and quantum electrodynamic phenomena. These models will allow for the design and optimization of novel electromagnetic systems at unprecedented scales, and contribute through education to the advancement of understanding. In this research statement, I will elaborate my recent and future research in four interrelated areas: (1) classical electromagnetism with scalable algorithms, (2) statistical electromagnetics: theories and practices, (3) quantum electromagnetics: simulating probability in space and time domain, and (4) chaotic reverberation chamber: measurement and control of uncertainties.
2020 "Statistical Analysis of Information Transmission in Ray-Chaotic Enclosures: A Stochastic Green's function approach" received the 3rd place in Student Paper Competition at 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting (Shen Lin and Zhen Peng)
2019 “Physics-Oriented Statistical Analysis of Information Transmission in Wave-Chaotic Environments” received honorable mention award in Student Paper Competition at 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI National Radio Science Meeting (Shen Lin and Zhen Peng).
2019 1st place in the student paper competition, “Platform-aware In-situ Antenna and Material Analysis and Design,” 2019 International Applied Computational Electromagnetics Society (ACES) Symposium (Shu Wang, Brian MacKie-Mason and Zhen Peng)
2019 3rd place in the student paper competition, “Physics-Informed Deep Neural Networks for Transient Electromagnetic Analysis,” 2019 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (Oameed Noakoasteen, Shu Wang, and Zhen Peng)
2018 “A Stochastic Green’s Function - Integral Equation Method for Communication in Diffusive Multipath Environments,” received Best Paper Award at International Conference on Electromagnetics in Advanced Applications (ICEAA) and IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC) (Shen Lin, Evelyn Dohme and Zhen Peng).
2018, 1st place in the student paper competition, “A Space-Time Domain Decomposition Method for High-fidelity Electromagnetic Simulation”, 2018 International Applied Computational Electromagnetics Society (ACES) Symposium (Shu Wang and Zhen Peng).
2018 “First-Principles Statistical Model of Communication Through Wave-Chaotic Environments” received honorable mention award in Student Paper Competition at 2018 IEEE International Symposium on Antennas and Propagation and USNC-URSI National Radio Science Meeting (Shen Lin and Zhen Peng).
2017, “A novel stochastic wave model statistically replicating reverberation chambers” received Best Paper Award in 26th Conference on Electrical Performance of Electronic Packaging and System (Shen Lin and Zhen Peng)
2017, Graduate Student Excellence Award in Department of Electrical & Computer Engineering (ECE) at the University of New Mexico (UNM) (Brain MacKie-Mason)
2017 “Quantitative Statistical Analysis with Physics-based Surrogate Modeling for Wave Chaotic Systems” received honorable mention award in Student Paper Competition at 2017 IEEE Interna- tional Symposium on Antennas and Propagation and USNC-URSI National Radio Science Meeting (Shen Lin and Zhen Peng)
2017 “Supercomputing-enabled first-principles analysis of wireless channels in real-world environ- ments” entered into the best IMS Advanced Practice Paper in 2017 IEEE MTT-S International Microwave Symposium
2016, 20th IEEE Workshop on Signal Integrity and Power Integrity Best Poster Paper Award (Shen Lin, Hong-Wei Gao, and Zhen Peng)
2016, UNM ECE Student Paper Competition, 3rd prize in Journal Paper Section (Brian MacKie Mason, Andrew Greenwood, and Zhen Peng)
2012 “A new integral equation based domain decomposition method for electromagnetic analysis of large multi-scale problems” received Honorable Mention Award of Student Paper Competition (co-advising) in IEEE Antennas and Propagation Society International Symposium
2011, Best Paper Award in Student Paper Competition (co-advising), “Application of a Multi- Solver Domain Decomposition Method for Antenna Placements on a Large Air Platform”, The 27th Annual Review of Progress in Applied Computational Electromagnetics (ACES 2011)
Research Interests
Papers共 179 篇Author StatisticsCo-AuthorSimilar Experts
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2024 International Applied Computational Electromagnetics Society Symposium (ACES)pp.1-2, (2024)
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2024 18th European Conference on Antennas and Propagation (EuCAP)pp.1-5, (2024)
2023 International Applied Computational Electromagnetics Society Symposium (ACES)pp.1-2, (2023)
2023 IEEE Symposium on Electromagnetic Compatibility & Signal/Power Integrity (EMC+SIPI)pp.183-188, (2023)
2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (USNC-URSI)pp.587-588, (2023)
IEEE Transactions on Antennas and Propagationno. 99 (2023): 1-1
2023 IEEE MTT-S INTERNATIONAL CONFERENCE ON NUMERICAL ELECTROMAGNETIC AND MULTIPHYSICS MODELING AND OPTIMIZATION, NEMOpp.99-102, (2023)
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATIONno. 12 (2023): 9344-9356
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