جست‌وجوی استاد و پژوهشگر

Liang Dongمشاهده پروفایل

دانشیار

• Signal Processing
• Wireless Communications
• Cyber-Physical Systems
• +۱۲ مورد دیگر

Dr. Liang (Leon) Dong is an Associate Professor in the Department of Electrical and Computer Engineering at Baylor University, where he conducts research and teaches in the areas of signal processing, wireless communications, and artificial intelligence. He leads the Laboratory of Signal Processing, Communications, and Artificial Intelligence, fostering innovation in next-generation communication systems, IoT, and AI-driven applications. PhD, Electrical & Computer Engineering, The University of Texas at Austin (2002) MS, Electrical & Computer Engineering, The University of Texas at Austin (1998) BS, Applied Physics with Minor in Computer Engineering, Shanghai Jiao Tong University (1996) Dr. Dong's research focuses on advancing digital signal processing and wireless communications, with strong emphasis on artificial intelligence applications. His work spans NextG wireless systems , IoT and smart cities , cyber-physical system security , and AI in healthcare and industrial automation . He applies deep learning to domains such as autonomous driving and drug discovery, and investigates energy-efficient, secure, and reliable communication protocols. The recent publications highlight a strong trend toward integrating AI into traditional signal processing and communications. Topics include mRNA vaccine stability prediction , smart city infrastructures , secure cyber-physical systems , and deep learning for biomedical and industrial applications . His work bridges theoretical innovation with real-world impact in defense, transportation, and public health. Dr. Dong has earned recognition as a Senior Member of IEEE and a Member of the American Physical Society. He has also served as Faculty Advisor for Baylor University's InterVarsity chapter. Senior Member, Institute of Electrical and Electronics Engineers (IEEE) Member, American Physical Society (APS) He has successfully advised numerous graduate and undergraduate students, many of whom now hold academic and industry positions at institutions like Stanford, Intel, NASA, L3Harris, and Cummins. His research is generously supported by Baylor's VP for Research, the National Science Foundation, NASA, the Department of Defense (TARDEC), the Michigan Department of Transportation, and industry leaders including Intel, L3Harris, ExxonMobil, and Denso. He actively mentors students through research assistantships and senior design projects. Dr. Dong leads the Laboratory of Signal Processing, Communications, and Artificial Intelligence, which provides a collaborative environment for advancing research in signal processing, communications, and AI. The lab supports graduate and post-doctoral researchers and offers opportunities for undergraduate involvement in AI programming, circuit design, and embedded systems.

• Metamaterials
• Electromagnetic Theory
• Microwave Techniques
• +۳ مورد دیگر

Prof. Dr. Evren EKMEKÇİ is a Professor at the Department of Electrical and Electronics Engineering, Faculty of Engineering and Natural Sciences, Süleyman Demirel University. He holds a licentiate degree from Süleyman Demirel University and a doctorate from Middle East Technical University. His academic career includes roles as Assistant Professor (2011-2017) and Associate Professor (2017-2022) before his current position since 2022. His research focuses on metamaterials, electromagnetic theory, microwave techniques, antenna design, microwave sensors, and dielectric resonators. Notable contributions include high-impact studies on metamaterial-based sensors and terahertz applications, with over 1272 citations and an h-index of 16 (Google Scholar). Key research trends in his articles include metamaterial design for sensing applications, dielectric resonator-based sensors, and electromagnetic absorption mechanisms. He has led projects such as 'Multi-functional metamaterial sensor design' (2014-2017) and 'Chemical liquid sensing with all-dielectric absorbers' (2019-2021). Prof. EKMEKÇİ has authored numerous peer-reviewed articles in journals like IEEE Sensors Journal and Applied Physics A. His work bridges theoretical electromagnetic principles with practical sensor and antenna innovations. He teaches courses on antennas, electromagnetic waves, and microwave techniques, contributing to both academic and applied engineering education.

Benjamin D. Auerbachمشاهده پروفایل

استادیار

• Neuroscience
• Neurobiology
• Optogenetics
• +۵ مورد دیگر

Benjamin D. Auerbach is an Assistant Professor in the Department of Molecular & Integrative Physiology at the University of Illinois at Urbana-Champaign. He holds additional affiliations with the Beckman Institute for Advanced Science and Technology and the Carl R. Woese Institute for Genomic Biology. His research focuses on neural mechanisms of sensory processing and plasticity, particularly in the auditory system, with emphasis on neurodevelopmental disorders like autism spectrum disorders and hearing impairments such as hyperacusis. Auerbach uses rodent models and multidisciplinary techniques including electrophysiology, optogenetics, and behavioral analysis to study experience-dependent plasticity and its disruption in disease. He completed his Ph.D. at MIT and postdoctoral training at the University at Buffalo's Center for Hearing and Deafness. His awards include the NARSAD Young Investigator Award and Blavatnik Award Nominee recognition. His lab actively investigates auditory hypersensitivity in Fragile X Syndrome and the functional neuroanatomy of tinnitus/hyperacusis, aiming to translate findings into therapies. Key research themes include: 1) Auditory perception and plasticity; 2) Mechanisms of sound processing deficits in ASD; 3) Central auditory gain control following hearing loss. Recent grants include NIH funding to study autism-related sensory hypersensitivity mechanisms. Lab members include postdocs, graduate students, and undergraduates. Notable collaborations span neuroscience, physiology, and bioengineering. Future directions emphasize developing transgenic rat models and optogenetic tools for studying circuit-level dysfunction in ASD.

• Electric Power Conversion
• Electromagnetic Devices
• Wireless Power Transfer
• +۲ مورد دیگر

Chi-Kwan Lee is a Professor at the University of Technology Sydney (UTS), School of Electrical and Data Engineering since 2024. Previously, he held roles including Associate Professor (2018-2023) and Assistant Professor (2012-2017) at the University of Hong Kong. He earned his B.Eng. and Ph.D. in Electronic Engineering from City University of Hong Kong (1999 and 2004). His research focuses on electric power conversion, electromagnetic devices, wireless power transfer, renewable energy, and smart grid technologies. He was a Visiting Researcher at Imperial College London (2010-2020). Research Highlights: Prof. Lee has pioneered advancements in wireless power transfer for medical devices (e.g., capsule endoscopy) and electric vehicles, with breakthroughs in efficiency optimization and misalignment mitigation. His work on hybrid stepper motor systems and magnetoresistive sensors addresses challenges in contactless actuation and high-voltage current sensing. Awards & Contributions: A Senior Member of IEEE and recipient of the 2015 IEEE Power Electronics Society Transactions First Prize Paper Award. He serves on IEEE PELS committees and editorial boards of key journals like IEEE Transactions on Power Electronics. Grants & Labs: Active in funded research projects related to wireless charging systems, smart grids, and renewable energy integration. His work spans academic collaborations, industry partnerships, and international conferences.

Elizabeth J. Hongمشاهده پروفایل

استاد

• Neuroscience
• Molecular Biology
• Neurophysiology
• +۳ مورد دیگر

Elizabeth J. Hong is a Professor of Neuroscience and Chen Scholar at the California Institute of Technology, serving as Interim Director of the T&C Chen Center for Systems Neuroscience. She holds academic appointments including Assistant Professor (2015-23), Boothe Luce Assistant Professor (2015-21), and Professor (2023–present). Her research focuses on synaptic molecular diversity and its impact on neural circuit computations, using the Drosophila olfactory system as a model. Key contributions include studies on odor-driven behaviors, synaptic physiology, and genetic manipulation strategies for circuit analysis. Education : B.S., California Institute of Technology, 2002 Ph.D., Harvard University, 2009 Research Interests : Her lab investigates how molecular differences at synapses influence physiological function and circuit-level computations. Using Drosophila's genetic toolkit, they combine in vivo electrophysiology, two-photon imaging, and behavioral assays to link synaptic properties to neural coding. Current projects explore odor representation restructuring, CO₂ sensory pathways, and the developmental basis of neural circuits. Awards : Chen Scholar (2021–present) Advisees/Grants : While specific student names aren't listed, the lab recruits trainees interested in synapse biology, neural circuits, and behavioral genetics. Techniques employed include TRACT (transneuronal transcription control) for circuit tracing and optogenetic tools for functional interrogation. Labs/Teams : The Hong Lab collaborates with the T&C Chen Center, focusing on systems-level neuroscience questions. Their work bridges molecular mechanisms with behavior, emphasizing evolutionary and developmental perspectives.

• Power Systems
• Smart Grids
• Transient Stability
• +۷ مورد دیگر

Cavit Fatih Küçüktezcan is an Assistant Professor in the Department of Electrical Engineering at Istanbul Technical University, College of Engineering. His research focuses on power system security, optimization methods, and smart grid technologies. He actively contributes to advancements in electric vehicle energy systems, battery modeling, and resilience of renewable-rich power grids. Research Interests: His work spans power system dynamic security , preventive and corrective control , heuristic and evolutionary optimization (e.g., differential evolution, mean-variance mapping, genetic algorithms), and the application of machine learning for transient stability prediction. He also investigates electric vehicle battery systems , including optimal cell selection and real-time energy consumption modeling. The publication trends show a shift toward data-driven and AI-enhanced approaches in power systems, especially in modeling cyber-attack impacts and improving grid resilience. His recent articles emphasize practical applications in sustainable transportation and secure grid operation under uncertainty. Scientific Contributions: Developed optimization frameworks for preventive control with search space reduction. Applied mean-variance mapping optimization to enhance dynamic security. Explored machine learning benchmarks for transient stability under cyber threats. Contributed to battery modeling and energy efficiency in electric buses. Advising and Grants: While specific details on students or funded projects are not available in the provided text, his collaborative research patterns suggest active supervision and team-based research in power systems and energy technology. He frequently co-authors with researchers from Istanbul Technical University, indicating strong institutional collaboration. Labs and Teams: Though no specific lab or research group is named, his work aligns with smart grid, energy systems, and optimization research teams within the Department of Electrical Engineering at ITU. His focus on real-time data and cyber-physical systems suggests potential involvement in intelligent grid monitoring and control initiatives.

• Digital Circuits and Systems
• Energy-Efficient Circuits and Systems
• Embedded Systems
• +۷ مورد دیگر

Massimo Poncino is a Full Professor at the Department of Control and Computer Science (DAUIN) within the Faculty of Engineering at Politecnico di Torino. He serves as Scientific Advisor for the STMicroelectronics partnership and coordinates basic engineering subjects. A Senior Member of IEEE since 2012 and Fellow since 2012, he has served on editorial boards for IEEE Transactions on Computer-Aided Design, IEEE Design & Test of Computers, and ACM Transactions on Design Automation. Education: Laurea in Electronic Engineering (1989) and PhD in Computer and Systems Engineering (1993) from Politecnico di Torino Academic Career: Visiting Scientist University of Colorado (1993-1994), Researcher at Politecnico di Torino (1995-2001), Associate Professor at University of Verona (2001-2004), Full Professor at Politecnico di Torino (2006-present) His research focuses on energy-efficient digital systems , including design automation of SoCs, hardware-aware AI, battery management, cyber-physical systems, and embedded systems. Recent publications highlight advancements in digital twins for batteries , low-power neural network deployment , and IoT privacy . Scientific Awards: Recognition of Service Award - ACM (2013) Certificate of Appreciation - IEEE Circuits and Systems Society (2006, 2008, 2009) IEEE Fellow (2012-) Research Involvement: EU H2020, VI/VII Framework Programs evaluator Scientific Director for projects: Approxim@ction, EMBAI, DISLO-MAN, DAMASCO Member of EDA research group Teaching: Course director for Energy Management for IoT (2019-2025) Lecturer for Computer Science courses (2003-2025)

Mubarak H. Syedمشاهده پروفایل

استادیار

• Cell Biology
• Developmental Biology
• Genetics
• +۱ مورد دیگر

Mubarak H. Syed is an Assistant Professor at the Department of Biology, University of New Mexico, where he leads research on neural diversity and circuit function. His work bridges genetic, cellular, and molecular mechanisms to elucidate how neurons and glia develop and contribute to behaviors. Ph.D. in Biology from University of Muenster (2011) His research focuses on the genetics and cellular mechanisms underlying neural diversity, with a specific emphasis on sleep-wake and olfactory navigation circuits in Drosophila . These studies have implications for understanding human neurological disorders and advancing stem cell-based therapies. Recent publications highlight his work on RNA-binding proteins, steroid hormone signaling, and neural circuit dynamics. His findings contribute to broader insights in neurogenetics and developmental neuroscience. Scientific recognition includes: NARSAD Young Investigator Award NSF CAREER Award Sloan Research Fellow in Neuroscience As an educator, he teaches genetics, neuroscience, and developmental biology through the NeuroCURE lab. He also mentors students from Kashmir and Pueblo communities via initiatives like JKScientists and Pueblo Brain Science, aiming to build a diverse neuroscience workforce.

• Signal Processing
• Electronics
• Biomedical Engineering
• +۵ مورد دیگر

Marek Miśkowicz serves as a Professor at the Department of Metrology and Electronics within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków, Poland. His primary institutional contact is miskow@agh.edu.pl, with physical location in building B-1, room 212. His research spans signal processing, biomedical engineering, and electronics, specializing in event-based sampling methodologies, time-to-digital conversion techniques, and reconstruction of bandlimited signals from nonuniform samples. Key contributions include QRS detection algorithms for ECG monitoring, POCS-based reconstruction frameworks, and event-driven control systems for industrial IoT applications. His work emphasizes resource efficiency in embedded systems and mobile health monitoring through approximate computing and adaptive sampling strategies. Recent publications (2022-2025) demonstrate consistent focus on signal reconstruction from irregular samples, with growing emphasis on spiking neural networks for event classification and industrial IoT optimization. Biomedical applications (particularly ECG analysis) and industrial control systems represent dominant application domains, while methodological innovations center on iterative reconstruction algorithms and temporal accuracy evaluation in noisy environments. No scientific awards were referenced in the source materials. No information regarding student advising or research grants was available in the provided documentation. The source texts contained no details about laboratory facilities, research teams, or collaborative groups associated with Professor Miśkowicz.

Kevin S. LaBarمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Emotional Memory
• Fear Conditioning
• +۸ مورد دیگر

Kevin S. LaBar is Professor of Psychology and Neuroscience and Professor in Psychiatry and Behavioral Sciences at Duke University's Trinity College of Arts & Sciences. He serves as Associate Director of the Center for Cognitive Neuroscience and maintains affiliations with the Duke Initiative for Science & Society, the Center for Brain Imaging and Analysis, and the Center for Cognitive Neuroscience. His academic journey began with a B.A. from Lafayette College in 1990, followed by a Ph.D. from New York University in 1996. Dr. LaBar's research focuses on understanding how emotional events modulate cognitive processes in the human brain. His laboratory aims to identify brain regions that encode the emotional properties of sensory stimuli and demonstrate how these regions interact with neural systems supporting social cognition, executive control, and learning and memory. His integrative approach utilizes psychophysiological monitoring, functional magnetic resonance imaging (fMRI), machine learning, and behavioral studies in both healthy adults and psychiatric patients. His work spans multiple domains including fear conditioning, emotional memory, emotion regulation, and the neural basis of emotional experience. His recent publications reveal a strong emphasis on emotional memory mechanisms, emotion regulation strategies across the lifespan, neural correlates of anxiety and fear, and developing neuroscience-informed interventions for emotional dysregulation. His research increasingly incorporates advanced neuroimaging techniques, computational approaches, and translational applications for clinical populations. Fellow, Association for Psychological Science (2010) Young Investigator Award, Cognitive Neuroscience Society (2005) CAREER Award, National Science Foundation (2003) Ralph E. Powe Junior Faculty Enhancement Award, Oak Ridge Associated Universities (2001) Young Investigator Award, National Alliance for Research on Schizophrenia and Depression (2000) Scholar of the Year Award, Lafayette College Alumni Association (1990) Dr. LaBar has secured substantial research funding, including multiple NIH grants and VA awards, with projects spanning from basic emotion research to clinical applications for conditions like PTSD, depression, and misophonia. His laboratory has trained numerous graduate students and postdoctoral fellows who have gone on to successful careers in academia and research. His work bridges cognitive neuroscience with clinical applications, particularly in developing neurostimulation-enhanced behavioral interventions for emotion dysregulation.

Alexander Gitlinمشاهده پروفایل

استادیار

• Immunology
• Inflammation biology
• Innate immunity
• +۴ مورد دیگر

Alexander Gitlin, MD, PhD , is an Assistant Member in the Immunology Program of the Sloan Kettering Institute at Memorial Sloan Kettering Cancer Center , and an Adjunct Assistant Professor (by joint appointment) at the Weill Cornell Graduate School of Medical Sciences . He directs the Gitlin Lab, which investigates how inflammatory cell signaling controls the magnitude and quality of innate immune responses in health and disease. Education & Training AB, Chemistry & Physics – Harvard University, 2009 PhD, Immunology – The Rockefeller University, 2016 (mentor: Michel Nussenzweig) MD – Weill Cornell Medicine, 2017 Residency, Clinical Pathology – Stanford University, 2017-2019 Post-doctoral training – Genentech, Inc. (Vishva Dixit laboratory), 2019-2022 Research Focus The Gitlin Lab combines genome-editing , proteomics , advanced imaging , and in-vivo models to dissect molecular circuits that balance cell survival and death during innate immune activation. By studying genes mutated in inherited autoinflammatory diseases, the group aims to uncover new therapeutic targets for immunodeficiency, auto-inflammation and cancer. Representative Publications Trend Across 25 peer-reviewed articles (2011-2025), Gitlin’s work moves from foundational studies on germinal-center B cell selection to recent high-impact papers that mechanistically link ubiquitin signaling, caspase activity and Toll-like receptor pathways. These studies collectively illuminate how post-translational modifications tune inflammatory intensity. Scientific Awards & Honors Pershing Square Sohn Cancer Prize – 2025 NIH Director’s DP5 Early Independence Award – 2022-2027 Josie Robertson Investigator – 2022-2027 Burroughs Wellcome Fund Career Award for Medical Scientists – 2022 NIAID K08 Mentored Clinical Scientist Award – 2021 Harold M. Weintraub Graduate Student Award – 2016 Training & Mentorship Gitlin currently mentors four PhD students (Kanno, Londoner, Morrison, Pacini) drawn from the Tri-Institutional and Gerstner Sloan Kettering programs. The lab hosts research fellows, technicians, and rotating students, and maintains active recruitment for fully-funded post-doctoral positions. Lab & Institutional Affiliations The Gitlin Lab is physically housed within the Immunology Program at the Sloan Kettering Institute, with access to core facilities for CRISPR editing, single-cell genomics, high-resolution imaging and mouse models. The group is additionally affiliated with the Gerstner Sloan Kettering Graduate School of Biomedical Sciences and the Weill Cornell Immunology & Microbial Pathogenesis PhD program .

Ørjan Grøttem Martinsenمشاهده پروفایل

استاد

• Bioimpedance
• Biomedical Physics
• Electronics and Instrumentation
• +۳ مورد دیگر

Ørjan Grøttem Martinsen is a Professor of Electronics at the Department of Physics, Faculty of Mathematics and Natural Sciences, University of Oslo. He also holds a temporary research position at the Medical Technology Business Area of Oslo University Hospital. With over three decades of experience, he has established himself as a leading expert in bioimpedance research and applications. Education: High-voltage engineer degree (1983) Cand. scient. in electronics/measurement technology (1990) Dr. scient. with thesis on skin's electrical properties (1995) Professor Martinsen's research centers on bioimpedance—the passive electrical properties of biological tissues that vary with anatomy and physiology. His work spans diverse applications including medical diagnostics (skin cancer detection), food quality assessment (fresh vs. thawed fish), skin condition monitoring (moisture levels), and stress level evaluation. His research bridges physics, engineering, and medical applications, creating practical diagnostic tools from fundamental electrical principles. He has pioneered methods to characterize tissue properties through impedance measurements, with particular focus on electrodermal activity and skin impedance. His recent publications (2022-2025) demonstrate a strong interdisciplinary approach combining bioimpedance with machine learning, robotics, and advanced signal processing. The work spans from fundamental biophysics (GABA detection, tissue characterization) to practical applications (dental anxiety assessment, ADHD treatment evaluation). Key trends include integration of AI with bioimpedance measurements, development of novel sensor systems, and expansion into new application areas like optogenetics and micro-robotics. Awards and Recognition: IEEE Senior Member (2006) CLABIO Award (2012) Fellow at Institute of Physics (FInstP) (2015) Dr. Honoris Causa, Tallinn University of Technology (2018) UiO Innovation Award (2019) Member of Norwegian Academy of Technical Sciences (2021) Professor Martinsen has served as Editor-in-Chief of the Journal of Electrical Bioimpedance since 2010 and was President of the International Society for Electrical Bioimpedance (2010-2016). His research has attracted significant funding, enabling collaborations across engineering, medical, and biological disciplines. He has supervised numerous students and researchers in the Bioimpedance Group at UiO, fostering a strong research environment that bridges theoretical and applied work. His work is conducted primarily through the Oslo Bioimpedance Group and Sensorama SmartSense research teams, which focus on developing innovative measurement techniques and applications of bioimpedance technology. These groups maintain strong collaborations with medical institutions and industry partners to translate research findings into practical healthcare solutions.

Brach Postonمشاهده پروفایل

دانشیار

• Neuroscience
• Non-Invasive Brain Stimulation
• Motor Learning
• +۵ مورد دیگر

Brach Poston, Ph.D., is an Associate Professor in the Department of Kinesiology and Nutrition Sciences at the University of Nevada, Las Vegas. He holds a Ph.D. in Integrative Physiology from the University of Colorado-Boulder, a Master’s in Exercise Physiology from UNLV, and a Bachelor’s in Physical Education from Missouri State University. Certified by the National Strength and Conditioning Association, his work bridges clinical research with practical applications. Ph.D., Integrative Physiology - University of Colorado-Boulder M.S., Exercise Physiology - University of Nevada, Las Vegas B.S., Physical Education - Missouri State University Poston’s research focuses on non-invasive brain stimulation techniques (tDCS, TMS) for motor skill enhancement across populations including Parkinson’s patients, aging adults, and young athletes. His work examines strength training adaptations, muscle fatigue mechanisms, and cognitive-motor interactions in neurodegenerative conditions. Current projects explore neurostimulation’s role in dexterous motor tasks and fatigue resistance. Recent publications highlight tDCS applications for videogame-based motor training, cortical excitability dynamics, and neurocognitive processes in online radicalization. His studies combine electrophysiological measures with behavioral outcomes across multiple populations. NIH and Michael J. Fox Foundation grants support his Parkinson’s research. Postdoctoral research fellowship at the National Institutes of Health Editorial board member: Journal of Functional Morphology and Kinesiology Grant review panelist: NASA Human Performance

• Microbial Biotechnology
• Oral Microbiome Engineering
• Biofilm Dynamics
• +۳ مورد دیگر

Kristel Bernaerts is a Professor at KU Leuven's Faculty of Engineering Sciences within the Department of Chemical Engineering, leading research in Chemical and Biochemical Reactor Technology and Safety (CREaS). She serves as Program Director for POC Safety Engineering and holds multiple leadership roles including membership in the Faculty Council of Engineering Sciences and the Committee for Prevention and Protection at Work. Faculty of Engineering Sciences Chemical and Biochemical Reactor Technology and Safety (CREaS) iSi Health - KU Leuven Institute for Physics-based Modeling Her research focuses on microbial biotechnology with emphasis on oral microbiome engineering, biofilm dynamics, and chemical process safety. Key areas include probiotic delivery systems for periodontal treatment, microbial reactor optimization, and safety engineering for biological products. She develops innovative technologies like slow-release devices for oral probiotics and electrospinning-based encapsulation methods. Recent publications reveal strong trends in oral biofilm modulation (65% of 2023-2025 works), microbial community engineering (25%), and safety/risk analysis (10%). Her work bridges fundamental microbial ecology with clinical applications, particularly in periodontitis treatment and probiotic delivery. As an active supervisor, she mentors PhD candidates including Loverdou, N. and Bäcker, L.E. across interdisciplinary projects spanning chemical engineering, dentistry, and synthetic biology. Her current €15M+ research portfolio includes: EU-funded MICROTUNe platform for bioprocess optimization (2024-2030) Probiotic dry toothpaste development (2024-2027) Wood-eating beetle microbiome valorization (2023-2027) AI-driven antivirulent protein design (2024-2028) She leads the POC Safety Engineering program and contributes to chemical engineering education through courses on process safety, reactor engineering, and analytical chemistry.

Zihe Gaoمشاهده پروفایل

استادیار

• Optics
• Integrated Photonics
• Quantum Optics
• +۵ مورد دیگر

Zihe Gao serves as a tenure-track Assistant Professor in the Department of Electrical and Computer Engineering at Auburn University's College of Engineering since August 2023, following postdoctoral research at the University of Pennsylvania and industry experience at Meta (Facebook Reality Labs). His academic foundation includes: PhD in Electrical and Computer Engineering, University of Illinois Urbana-Champaign (2018) MS in Physics, University of Illinois Urbana-Champaign (2012) BS in Physics, Nanjing University (2011) Dr. Gao's research integrates optics, microelectronics, and physics to develop programmable photonic systems. His work focuses on controlling collective behaviors in multi-element photonic systems for scalable integrated chips, with applications spanning dynamically steerable laser sources and reconfigurable quantum optical platforms . Key methodologies include non-Hermitian physics, topological photonics, and spin-orbit coupling engineering. Analysis of his 2023-2025 publications reveals dominant trends in non-Hermitian photonic switching , high-dimensional quantum state manipulation , and topological semiconductor laser arrays . His team pioneers lithography-free reconfigurable photonics and spin-orbit microlasers for quantum key distribution, demonstrating strong industry-academia translation from prior Meta work on AR/VR structured-light systems. His scholarly trajectory shows continuous progression from VCSEL array fundamentals (PhD under Prof. Kent Choquette) to quantum-topological photonics (postdoc with Prof. Liang Feng), now establishing independent research at Auburn with emphasis on integrated quantum-classical hybrid systems.