جست‌وجوی استاد و پژوهشگر

Yao Zhengمشاهده پروفایل

دانشیار

• Wireless Communication
• Wireless Sensing
• Wireless Security
• +۵ مورد دیگر

Yao Zheng is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Hawaiʻi at Mānoa's College of Engineering. He holds a Ph.D. in Computer Science from Virginia Tech (2016), M.S. in Electrical and Computer Engineering from Worcester Polytechnic Institute (2011), and B.S. in Microelectronics from Fudan University (2007). Previously, he worked as a junior researcher at Siemens Corporate Technology in China (2007-2009). His research focuses on wireless communication, sensing, and security , with specific expertise in mmWave/sub-THz radar sensing, biomedical sensors, and intelligent reflective surfaces. He leads major research initiatives including the O-RAN-Based Cyberinfrastructure Training project (NSF OAC-2417891, $150k) and 5G/B5G Intelligent Reflecting Surfaces for Aircraft Mission Readiness ($1.95M total). His laboratory develops integrated sensing-communication systems for applications ranging from physiological monitoring to environmental sensing. His recent publications (2022-2024) demonstrate strong focus on wireless physiological sensing (using mmWave for respiration/heart monitoring), security applications (biometric authentication, channel randomization), and NextG network enhancements (intelligent reflective surfaces, C-V2X coverage). The work spans IEEE journals, radar conferences, and IoT venues with consistent contributions to wireless sensing integration. Senior Member of IEEE Honorary Graduate of Starfleet Academy Professor Zheng advises students through VIP projects including Monet (Millimeter-wave Communication and Sensing Integration) and RASRE (Reflectarray Applications). His teaching portfolio includes ECE260 (Digital Design), ECE602 (Algorithms), and specialized courses on wireless communication and security. Current grants support cyberinfrastructure training and aircraft mission readiness applications through O-RAN and intelligent reflecting surface technologies.

Moe Winمشاهده پروفایل

استاد

• Communication Systems
• Quantum Communication
• Signal Processing
• +۳ مورد دیگر

Moe Win is a Professor of Aeronautics and Astronautics at the Massachusetts Institute of Technology (MIT), affiliated with the Laboratory for Information and Decision Systems (LIDS). He holds a PhD in Electrical Engineering from the University of Southern California (USC), where he was a Presidential Fellow. Prior to MIT, he worked at AT&T Research Laboratories and the Jet Propulsion Laboratory (JPL). His research focuses on applying mathematical and statistical theories to communication, detection, and estimation challenges, with emphasis on time-varying channels, multiple antenna systems, ultra-wideband (UWB) communications, and quantum-enabled systems. His recent work explores quantum communication, 6G positioning, and resilient navigation in adversarial environments. He has contributed to advancements in holographic localization, reconfigurable intelligent surfaces, and quantum state discrimination. His affiliations include the MIT Institute for Data, Systems, and Society (IDSS), reflecting interdisciplinary interests in networked systems and cyber-physical infrastructure. Education: BS (Electrical Engineering), Texas A&M University, 1987 MS (Electrical Engineering), University of Southern California, 1989 MS (Applied Mathematics), University of Southern California, 1998 PhD (Electrical Engineering), University of Southern California, 1998 Dr. Win’s research bridges theoretical foundations with practical applications in wireless networks, space communications, and quantum information systems. He leads projects on secure localization, cooperative positioning, and quantum-enhanced radar/lidar technologies. His lab’s work addresses challenges in non-terrestrial networks, adversarial spoofing defense, and distributed learning in resource-constrained environments.

Shannon David Bluntمشاهده پروفایل

استاد

• Radar Signal Processing
• Waveform Design and Optimization
• Cognitive Radar Systems
• +۳ مورد دیگر

Shannon David Blunt is the Roy A. Roberts Distinguished Professor at the University of Kansas, affiliated with the School of Engineering's Department of Electrical Engineering and Computer Science. His research focuses on advanced radar signal processing, waveform design, cognitive radar systems, and radar-communications integration. He leads experimental projects such as the Waveform Diversity Experimentation System (WaDES) and the SMART Hub initiative addressing spectrum crisis challenges. His work emphasizes spectral efficiency, adaptive processing, and real-time cognitive radar solutions. Blunt holds editorial roles, including founding the IEEE Transactions on Radar Systems, and has contributed to over 100 peer-reviewed articles since 2017. Research Interests: Radar signal processing innovations include optimizing radar waveforms for multifunction digital arrays, developing random FM techniques, and advancing clutter suppression algorithms. His research bridges radar and communications via initiatives like Phase-Attached Radar-Communications (PARC) and Multi-User Radar/Communications (MURC). Key areas include waveform diversity, spectrum sharing, and real-time spectral notching for cognitive radar. He explores bio-inspired systems and medical signal processing applications, though his primary focus remains radar systems engineering. Recent Trends in Articles: Recent work (2023–2025) emphasizes hybrid FM waveforms, reiterative super-resolution algorithms, and physical waveform optimization. Publications address challenges in Doppler robustness, waveform recycling, and experimental validation of spectrum-sharing technologies. Collaborations with industry and government labs highlight applied research in spectrum management and mm-wave radar for automotive/urban mobility. Awards & Recognition: Roy A. Roberts Distinguished Professorship Leadership in the IEEE Radar Journal and Special Sections Grants & Labs: Directs the SMART Hub (Solving the Spectrum Crisis) and oversees WaDES. His lab's experimental systems demonstrate real-time cognitive radar and spectrum-sharing solutions. Advises on federal grants for radar spectrum engineering and vehicular RF convergence projects. Labs & Teams: Active in the University of Kansas's radar engineering group, collaborating with the SMART Hub consortium and industry partners like Raytheon and Boeing.

• Sensor Technologies
• Space Systems
• Systems Engineering
• +۱۳ مورد دیگر

Dr. Ivor Morrow is a Senior Lecturer at Cranfield University, affiliated with the Centre for Defence Engineering and Physical Science. He serves as the Academic and Technical Lead for the Centre for Antenna, Communications and Technology Innovation (CACTI) Hub, a collaborative initiative between Cranfield University and Milton Keynes University. His expertise lies in sensor technologies, space systems, and systems engineering, with a focus on advanced antenna design and electromagnetic systems. His research spans a wide range of topics including 5G and terahertz space-based antennas, aerospace antenna systems, microwave imaging for ground penetrating radar, electromagnetic bandgap structures, frequency selective surfaces, and additive manufacturing of electromagnetic devices. He has led multiple funded projects such as CORREO (Conformal Retro Reflectors for Earth Observation) supported by the UK Space Agency, METAPOL (Metamaterial Surfaces for Antenna Polarisation Control) funded by MoD, and Pulpatronics – a startup grant for biodegradable RFIDs in 2024. The analysis of his recent publications reveals a consistent focus on antenna miniaturization, polarization control, metamaterial integration, and near-field microwave imaging. His work increasingly incorporates 3D printing and smart materials, reflecting a trend toward cost-effective, reconfigurable, and environmentally responsive RF systems. Applications span defense, humanitarian demining, smart cities, and Earth observation. LAPC Life Fellow award 2018 Ivor Morrow has served as a member of the EPSRC Peer Review Associate College since 2015 and held leadership roles in the IET Antennas and Propagation Professional Network, including Chairman from 2009–2013. He has advised numerous research students and supervised projects in areas such as retrodirective surfaces, reconfigurable antennas, and microwave imaging. His work is supported by grants from Find A Better Way Charity, EPSRC, UK Space Agency, MoD, Dstl, Roke Manor, and QinetiQ. He is actively involved in technology transfer and startup development, exemplified by the 2024 Pulpatronics grant. He leads the CACTI Hub, which fosters collaboration in antenna innovation and communications technology. The hub supports research in smart infrastructure, space systems, and defense applications, integrating academic research with industrial and governmental partners.

Claudiu Genesمشاهده پروفایل

پژوهشگر

• Quantum Optics
• Cavity Quantum Electrodynamics
• Optomechanics
• +۷ مورد دیگر

Claudiu Genes is a Group Leader at the Max Planck Institute for the Science of Light (MPL), where he heads the research group focused on Cooperative Quantum Phenomena . He conducts theoretical and applied research at the forefront of quantum optics and light-matter interactions, with a strong emphasis on collective quantum effects in hybrid systems. His work bridges quantum information, cavity quantum electrodynamics, optomechanics, and molecular physics, aiming to develop new platforms for quantum technologies. His research interests span Quantum Optics , Cavity Quantum Electrodynamics , Optomechanics , Light-Matter Interaction , Collective Quantum Effects , and Molecular Quantum Physics . He investigates phenomena such as entanglement generation, quantum cooling, non-adiabatic molecular dynamics, and chiral sensing using advanced quantum optical techniques. His theoretical frameworks often enable experimental realizations in state-of-the-art photonic and optomechanical systems. The recent publications (2024–2025) reveal a strong trend toward hybrid quantum systems involving molecules, mechanical oscillators, and photonic structures. Key themes include quantum entanglement in optoacoustic systems , terahertz polaritonics with organic molecules , nonlinear optovibronic interactions , and chiral sensing via metasurface cavities . These works combine deep theoretical insight with practical applications in quantum sensing and information processing. Scientific Awards: No awards listed in the provided text. Dr. Genes leads an independent research group and is actively involved in mentoring and collaborative research. While specific students and grants are not mentioned, his leadership role implies supervision of junior researchers and participation in large-scale scientific collaborations. His group likely collaborates with experimental teams at MPL and beyond to validate theoretical predictions. Labs and Teams: He leads the Cooperative Quantum Phenomena group at MPL, which focuses on theoretical quantum optics and open quantum systems. The group works closely with experimental teams at the institute, particularly in areas involving cavity optomechanics, quantum metasurfaces, and molecular polaritonics.

Dimitri Van De Villeمشاهده پروفایل

استاد

• Signal Processing
• Image Processing
• Functional Neuroimaging
• +۹ مورد دیگر

Dimitri Van De Ville is a Full Professor of Bioengineering at École Polytechnique Fédérale de Lausanne (EPFL) and the University of Geneva (UniGE), affiliated with the School of Engineering at EPFL and the Faculty of Medicine at UniGE. He leads the Medical Image Processing Laboratory (MIP:Lab) at Campus Biotech in Geneva and is a key figure at the CIBM Center for Biomedical Imaging. His work bridges signal processing, computational neuroscience, and clinical neuroimaging. Education: M.S. and Ph.D. in Computer Science, Ghent University, Belgium (1998, 2002) Post-doctoral Fellow, Biomedical Imaging Group, EPFL (2002–2005) His research focuses on advancing non-invasive brain imaging through methodological innovations in signal and image processing. He investigates the dynamic and network aspects of brain function using fMRI and EEG, with a special emphasis on dynamic functional connectivity, graph signal processing, and real-time neurofeedback. His work has demonstrated that EEG microstate sequences exhibit scale-free dynamics, linking fast electrophysiological events to slow hemodynamic changes. He pioneered connectivity decoding and contributed to the development of sparsity-based deconvolution methods for fMRI. The recent articles reflect a strong trend toward modeling brain function as a dynamic network process. Key themes include graph signal processing on brain connectomes, decomposition of transient brain activity, and the use of machine learning to decode brain states. His work increasingly integrates structural and functional data to understand brain organization at multiple scales. Scientific Awards: Technical Achievement Award, IEEE EMBS (2024) Fellow, EURASIP (2023) Distinguished Lecturer, IEEE Signal Processing Society (2021–2022) Fellow, IEEE (2020) Leenaards Award (2016) NARSAD Independent Investigator Award (2014) NeuroImage Editors' Choice Award (2013) Pfizer Research Award (2012) Van De Ville has secured substantial research funding through grants such as the SNSF Professorship and has advised numerous researchers. He plays a major role in the scientific community as founding chair of the EURASIP BISA SAT and former chair of the IEEE BISP TC. He has held editorial roles in top journals including IEEE Transactions on Signal Processing , SIAM Journal on Imaging Sciences , and Imaging Neuroscience . He leads the Medical Image Processing Laboratory (MIP:Lab) at Campus Biotech, which specializes in developing advanced signal processing tools for neuroimaging. The lab is part of a broader collaborative ecosystem involving EPFL, UniGE, and the CIBM, fostering interdisciplinary research in biomedical imaging and brain science.

• Information and Communication Technology (ICT)
• Radar Systems
• Signal Processing
• +۵ مورد دیگر

Karol Abratkiewicz is an Assistant Professor at the Institute of Electronic Systems within the Faculty of Electronics and Information Technology at Warsaw University of Technology. His primary research focuses on Radar Systems , Signal Processing , and Passive Radar technologies. Research Trends : His recent work emphasizes advancements in passive radar noise suppression, time-frequency analysis for vital sign detection, and super-resolution techniques in ISAR/SAR imaging using 5G and satellite signals. Scientific Metrics : He has published 64 articles, supervised 1 thesis, and participated in 10 projects. His Scopus h-index is 10, and his WoS h-index is 9. Contact : Email karol.abratkiewicz@pw.edu.pl | Phone +48 22 234 17 04 | Room 447

Pascal Picartمشاهده پروفایل

استاد

• Digital Holography
• Coherent Imaging
• Optical Metrology
• +۶ مورد دیگر

Pascal Picart is a Professor at Le Mans University, France, and serves as Deputy Director of the Laboratoire d'Acoustique de l'Université du Mans (LAUM UMR CNRS 6613). He is affiliated with the School of Engineering and leads research within the Transducers team, focusing on Optical, Signal and Image Methods for Acoustics. With an extensive publication record including 115-120 journal papers, 27-30 invited talks, over 160 conference proceedings, 7 book chapters, and coordination of 4 books, Picart has established himself as a leading researcher in digital holography and coherent imaging techniques. His primary research interests center on coherent imaging based on digital holography and its applications to acoustics, mechanics, and fluid mechanics. Picart's work spans digital holography , speckle noise reduction , phase imaging , vibration analysis , and optical metrology . His team develops advanced techniques for full-field measurements, with applications ranging from structural mechanics to biomedical imaging and additive manufacturing process monitoring. Recent work emphasizes deep learning approaches for speckle denoising and phase retrieval in challenging conditions. Picart's publication portfolio demonstrates consistent innovation in digital holographic techniques, with recent trends showing increased focus on computational imaging , machine learning applications , and industrial process monitoring . His work bridges fundamental optical research with practical applications in materials science, manufacturing, and acoustics. The interdisciplinary nature of his research connects optics, signal processing, mechanics, and computer science. Fellow of OPTICA (formerly OSA) Member of SPIE, Société Française d'Optique (SFO), European Optical Society (EOS), Club EEA, and IEEE Picart co-founded a startup and has coordinated multiple research projects. His work at LAUM involves both fundamental research and applied projects, with connections to industrial applications in vibration analysis, non-destructive testing, and manufacturing process control. As Deputy Director of LAUM, he oversees one of France's leading acoustics research laboratories with extensive experimental facilities including specialized rooms for acoustic and vibration measurements, opto-acoustic experimentation platforms, and optical metrology equipment.

Geoffrey Blakeمشاهده پروفایل

استاد

• Cosmochemistry
• Planetary Sciences
• Chemistry
• +۵ مورد دیگر

Geoffrey Blake is a Professor of Cosmochemistry and Planetary Sciences and Professor of Chemistry at the California Institute of Technology (Caltech). He received his B.S. from Duke University in 1981 and his Ph.D. from Caltech in 1986. His academic career at Caltech progressed from Assistant Professor of Cosmochemistry (1987-93) to Associate Professor of Cosmochemistry and Planetary Sciences (1993-97), to Professor (1997-99), and finally to his current dual appointment as Professor of Cosmochemistry and Planetary Sciences and Professor of Chemistry (1999-present). He also served as Deputy Director of the Owens Valley Radio Observatory (2000-06) and Master of Student Houses (2009-14). Professor Blake's research focuses on applying innovative spectroscopic tools to investigate chemical and physical processes in natural environments ranging from the interstellar medium to living cells. His work aims to understand the evolution of molecular diversity from atoms in the interstellar medium to complex molecules throughout the solar system and in life. He conducts both remote sensing and laboratory studies, with active research in three major scientific areas. His group is actively developing new spectrometers across the Terahertz (THz, 30-1000 μm) region of the electromagnetic spectrum. Analysis of Professor Blake's recent publications reveals a strong focus on advanced spectroscopic techniques, particularly in the terahertz range, and their application to both astrochemistry and physical chemistry problems. His work spans from laboratory studies of molecular clusters and water structure to astronomical observations of protoplanetary disks and exoplanet atmospheres. There is a clear interdisciplinary approach, connecting chemistry, physics, and astronomy to address fundamental questions about molecular evolution and cosmic processes. Professor Blake has mentored numerous graduate students who have gone on to successful careers in academia, national laboratories, and industry. His students have received prestigious awards, including the 2024 ACS Astrochemistry Dissertation Award (Olivia Wilkins). He has also secured research funding that supports his group's development of advanced spectroscopic instrumentation and related research activities. The Blake Group operates state-of-the-art laboratories for terahertz and microwave spectroscopy at Caltech. They have developed innovative instrumentation including decade-spanning high-resolution terahertz time-domain spectrometers and frequency comb systems. The group collaborates with researchers across multiple disciplines and institutions, contributing to major astronomical observations with facilities like JWST and ground-based observatories.

Neal Hallمشاهده پروفایل

دانشیار

• Silicon Micromachining
• MEMS (Micro-Electro-Mechanical Systems)
• Acoustics and Dynamics
• +۵ مورد دیگر

Neal Hall is an Associate Professor and Temple Foundation Endowed Faculty Fellow in the Department of Electrical and Computer Engineering at The University of Texas at Austin. His research focuses on silicon micromachined acoustic transducers, integrating photonics and MEMS for advanced sensing systems. He leads the Texas Acoustics Group and Microelectronics Research Center (MRC), with applications spanning hypersonic flight, CO2 storage monitoring, and bio-inspired microphone design. Education: B.S. in Mechanical Engineering (UT Austin, 1999), M.S. and Ph.D. in Mechanical Engineering (Georgia Tech, 2002 & 2004) His research combines MEMS fabrication , optical interferometry , and acoustic signal processing to develop extreme-environment sensors. Notable projects include fire-resistant microphones, Europa-bound seismic sensors, and CO2 storage telemetry systems. Recent publications emphasize silicon photonics and piezoelectric materials for ultrasonic and infrasonic applications. Scientific awards include the ONR Young Investigator Award (2014), DARPA Young Faculty Award (2012), and Regents Outstanding Teaching Award (2014). His lab has spun off Silicon Audio, Inc., commercializing high-dynamic-range seismometers and acoustic sensors.

Stephen Hanlyمشاهده پروفایل

استاد

• Wireless Communications
• Millimeter Wave Networks
• UAV Communications
• +۳ مورد دیگر

Stephen Hanly is a Professor in the School of Engineering at Macquarie University, specializing in Electrical and Electronics Engineering. He serves as Discipline Lead for the Electrical and Electronics Engineering teaching program and is part of the School's leadership team. His research is centered at the Future Communications Research Centre and Advanced Drone Systems Research Centre. His research focuses on next-generation wireless communications systems, with primary expertise in millimeter wave networks, UAV communications, satellite IoT systems, and beamforming technologies. Key investigation areas include distributed data collection using rechargeable UAVs, LEO satellite communications for IoT, millimeter wave beam alignment algorithms, and delay-Doppler domain waveforms for high-mobility scenarios. His work bridges theoretical communication theory with practical implementation challenges in dense wireless environments. His recent publication trends demonstrate strong emphasis on 6G-enabling technologies, particularly UAV trajectory optimization for IoT data harvesting, LEO satellite terminal protocols, and millimeter wave beam acquisition techniques. These works consistently address scalability challenges in ultra-dense networks while maintaining quality-of-service guarantees. IEEE Fellow INFOCOM Best Paper Award IEEE Information Theory Society and IEEE Communication Society Joint Paper Award IEEE Communications Society Tutorial Paper Award Professor Hanly actively supervises PhD students and postdoctoral researchers, with current projects including DP23: Enabling wide area mm-wave mobile broadband networks and LP20: Scaling Up Satellite Communications for the Internet of Things. His industry collaborations include the CSIRO Macquarie University Chair in Wireless Communications and the Macquarie University WiMed Research Centre. His research group develops novel algorithms for resource allocation, beam management, and network optimization in heterogeneous wireless environments. He leads the Future Communications Research Centre and Advanced Drone Systems Research Centre, focusing on practical implementations of theoretical communication models. Current research directions include UAV swarm coordination for wide-area coverage, LEO satellite IoT protocols, and millimeter wave beam alignment for mobile users in urban environments.

• Nuclear Physics
• Nuclear Structure
• Neutron-rich Nuclei
• +۴ مورد دیگر

Professor Zsolt Podolyak is an experimental nuclear physicist at the University of Surrey , affiliated with the School of Mathematics and Physics . He serves as School PGT Director and Programme Leader for the MSc Nuclear Science and Applications . 1992 MSc from Babes-Bolyai University, Romania 1995 PhD from Kossuth Lajos University (ATOMKI), Hungary 2009 MBA from Open University, UK His research spans nuclear structure (heavy neutron-rich nuclei), nuclear reactions (relativistic fragmentation), nuclear astrophysics (r-process), and hadron physics (Delta resonance studies). Key experimental work includes: Leading international projects at FAIR/NuSTAR , ISOLDE , RIKEN Developing FATIMA gamma-ray arrays and mean range bunching techniques Pioneering studies of quadrupole/octet collectivity in ²⁰⁶Hg and ²⁰⁸Pb regions Recent publications focus on: 2025 : Enhanced octupole collectivity in Gd150 and deformation in Pb208 2024 : Broken seniority symmetry in ⁹⁵Rh and monopole-driven shell evolution 2023 : Beta-delayed neutron emission anomalies and two-photon decay measurements He received the largest STFC nuclear physics grant in UK history and collaborates extensively with facilities like CERN, GSI, and RIKEN.

Martin Weißmannمشاهده پروفایل

استاد

• Numerical weather prediction
• Atmospheric data assimilation
• Ensemble forecasting
• +۴ مورد دیگر

Martin Weißmann is a Professor for Theoretical Meteorology at the University of Vienna's Faculty of Earth Sciences, Geography and Astronomy, where he has served since 2020. Previously, he headed the Department of Meteorology and Geophysics (2020-2022) and the Data Assimilation Branch at the Hans-Ertel Centre for Weather Research. His research focuses on numerical weather prediction, atmospheric data assimilation, ensemble forecasting, error modeling, and applications of wind lidar and satellite data. Education includes an MSc in Meteorology from the University of Innsbruck (1996-2003) and a PhD from DLR Oberpfaffenhofen in cooperation with University of Innsbruck (2003-2006). His scientific commitments include membership in the ESA Aeolus Science and data quality Advisory Group and coordination of the project Experimental Validation and Assimilation of Aeolus Observations. Research interests center on: Advanced data assimilation techniques for numerical weather prediction Ensemble methods for probabilistic forecasting and error quantification Integration of novel observation systems like Doppler wind lidars Validation and application of Aeolus satellite wind data Convective-scale modeling and high-resolution forecasting His publication record demonstrates consistent focus on improving weather prediction systems through innovative assimilation methods, with recent work emphasizing machine learning applications, convective-scale data assimilation, and satellite data validation. Teaching responsibilities include courses in dynamic meteorology, numerical weather prediction, and scientific communication.

Daniel Shaddockمشاهده پروفایل

استاد

• Gravitational Astrophysics
• Laser Interferometry
• Precision Measurements
• +۳ مورد دیگر

Prof. Daniel Shaddock is a Professor in Physics at the Australian National University (ANU) and leads Australia’s participation in the GRACE Follow-on mission to map Earth’s gravity. He previously served as a Director’s Fellow at NASA’s Jet Propulsion Laboratory, contributing to the Laser Interferometer Space Antenna (LISA) mission and the Advanced LIGO project, which detected gravitational waves. As Founder and CEO of Liquid Instruments, he develops high-end test and measurement tools. His research focuses on precision laser interferometry, gravitational wave detection, and space-based instrumentation. His academic contributions include advancing interferometer control systems for LISA, suppressing frequency noise in gravitational wave detectors, and developing optical phase tracking techniques. He collaborates on projects such as the ARC Centre of Excellence for Engineered Quantum Systems and the Neutron Star Extreme Matter Observatory (NEMO). His work bridges fundamental physics with applied technologies, including quantum communication and adaptive optics for space debris tracking. Key projects include the Coherent LiDAR for self-driving vehicles, Space-Based Quantum Communications with UNSW, and a Guidestar Laser for adaptive optics. His research has produced over 300 publications, emphasizing gravitational astrophysics, laser metrology, and space instrumentation. He holds patents in FPGA-based instrumentation and optical phased arrays.

• Solar Physics
• Astrophysics
• Space Weather
• +۳ مورد دیگر

Bin Chen is a Physics Professor at New Jersey Institute of Technology (NJIT), with a former affiliation as Assistant Professor at the Center For Solar Terrestrial Research - Big Bear Solar Observatory. His research focuses on solar physics, space weather, and astrophysical plasma dynamics. Key areas include solar flare dynamics, electron acceleration mechanisms, magnetic reconnection processes, and coronal plasma behavior. He leads/co-leads multiple federal grants from NASA and NSF, including projects like the Expanded Owens Valley Solar Array (EOVSA) and SUNCAST software collaboration. Recent work involves radio observations of solar eruptions, particle acceleration studies, and coronal magnetic field evolution. His team uses advanced facilities like the Owens Valley Solar Arrays for solar imaging and spectral analysis. Publications emphasize observational and theoretical studies of solar radio bursts, flare energy release, and plasma turbulence. Key findings include detection of aurora-like radio emissions above sunspots and novel insights into termination shocks in flares. Chen's research bridges observational astronomy with computational modeling to advance understanding of explosive solar phenomena.