جست‌وجوی استاد و پژوهشگر

James Landayمشاهده پروفایل

استاد

• Human-Computer Interaction (HCI)
• Mobile & Ubiquitous Computing
• Human-Centered AI
• +۴ مورد دیگر

James Landay is a Professor of Computer Science and the Anand Rajaraman and Venky Harinarayan Professor at Stanford University's School of Engineering. He serves as the Denning Co-Director of the Stanford Institute for Human-Centered AI (HAI). His expertise spans Human-Computer Interaction (HCI), Mobile Computing, and Human-Centered AI. Landay holds a BS from UC Berkeley (1990), and MS/PhD from Carnegie Mellon University (1993/1996). He has held roles at the University of Washington, Cornell Tech, and Intel Labs Seattle. His research focuses on behavior change technologies, user interface design, and cross-cultural interfaces. Education: BS, UC Berkeley, Electrical Engineering & Computer Science (1990) MS, Carnegie Mellon University, Computer Science (1993) PhD, Carnegie Mellon University, Computer Science (1996) Research Interests: Landay explores how technology can support health and sustainability through behavior change. His work includes tools like WhoIsZuki (narrative-based health apps) and Smart Primer (educational storytelling). He also studies workplace design impacts on well-being and drone-human interaction. Awards & Recognition: ACM Fellow (2016) ACM SIGCHI Academy Member (2011) ACM SIGCHI Lifetime Research Award Teaching & Advising: Landay teaches courses like Cross-Platform Mobile App Development (CS147L) and oversees over 20 advisees across doctoral, master’s, and undergraduate programs. His labs include collaborations with Tsinghua University’s World Lab. Labs & Projects: Leads initiatives such as the Hybrid Physical-Digital Spaces project and the Smart Primer educational tool. His work bridges academia, industry, and policy, with contributions to NSF advisory roles and startups like NetRaker.

Jun-Chau Chienمشاهده پروفایل

استادیار

• Biosystems & Computational Biology
• Bioelectronics
• Microfluidics
• +۷ مورد دیگر

Jun-Chau Chien is an Assistant Professor of Electrical Engineering and Computer Science at the University of California, Berkeley, and holds the Weber Family Engineering Faculty Fellowship. He is affiliated with the Berkeley Sensor & Actuator Center (BSAC) and the Berkeley Wireless Research Center (BWRC). His research bridges integrated circuits with bio- and quantum technologies, focusing on biosensors, molecular engineering, and mm-wave ICs for biomedical and quantum applications. Education: B.S. and M.S., National Taiwan University Ph.D. in Electrical Engineering, UC Berkeley (2015) Postdoctoral Training, Stanford University (2016–2017) Prior Experience: Research Engineer, Stanford EE (2017–2021) Assistant Professor, National Taiwan University Industrial roles at Xilinx, InvenSense, LifeSignals, and INanobio Research Interests: Analog/mixed-signal IC design for biomedical applications Bioelectronics and implantable/ wearable sensors RF/mm-wave circuits for quantum interfaces and medical imaging CMOS-microfluidics integration for point-of-care diagnostics Advanced calibration techniques for high-frequency devices Awards: 2022 IEEE BioCAS Best Paper Award 2019 IEEE CICC Outstanding Paper Award NSF CAREER Award (2025) MTT-S Graduate Fellowship (2014) Lab & Outreach: Chien Lab focuses on bio-IC convergence and quantum interfaces Develops wearable/implantable biosensors and mm-wave imagers Hosts community outreach programs for junior high/high school students He teaches EE 194 and EE 290 on integrated circuit testing and is actively involved in ISSCC technical committees.

Alp Sipahigilمشاهده پروفایل

استادیار

• Quantum Computing
• Quantum Sensing
• Superconducting Devices
• +۳ مورد دیگر

Alp Sipahigil is the Ping & Amy Chao Family Assistant Professor of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He holds joint appointments as a Faculty Scientist at Lawrence Berkeley National Laboratory's Materials Sciences Division and a supporting appointment in UC Berkeley Physics. His research focuses on solid-state quantum devices for quantum computing, communication, and sensing, particularly exploring superconducting circuits, color centers, integrated photonics, and phononics. Education: PhD in Physics, Harvard University (2017) B.S. in Physics and Electrical Engineering, Bogazici University (2010) Research interests include advancing quantum technologies through device engineering, with emphasis on coherence control in superconducting qubits, spin-photon interfaces in silicon, and phononic bandgap materials. His work bridges quantum materials, nanotechnology, and hybrid systems. Recent efforts target scalable silicon-based quantum photonics and defect engineering in quantum systems. Key achievements include demonstrating indistinguishable photons in silicon photonics (Nature Communications, 2024) and developing phononic bandgap structures to mitigate qubit decoherence (Nature Physics, 2025). He leads the Berkeley Quantum Devices Group, fostering interdisciplinary collaboration between EECS, physics, and materials science. Awards: Rose Hills Innovator Program (2024). Research affiliations include the Berkeley Emerging Technologies Research (BETR), Berkeley Sensor & Actuator Center (BSAC), and NSF Challenge Institute for Quantum Computation (CIQC).

• Integrated Circuits
• Micro/Nano Electro Mechanical Systems (MEMS)
• Computer Architecture & Engineering
• +۴ مورد دیگر

Vladimir Stojanović is an Adjunct Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. His research focuses on integrated electronic-photonic systems-on-chip, emerging technologies, and VLSI design. He has held positions at MIT (2005–2013) and Rambus, Inc. (2001–2004). Stojanović leads research initiatives in the Berkeley Deep Drive (BDD), Berkeley Emerging Technologies Research (BETR), and Center for Energy Efficient Electronics Science (E3S). Education: Ph.D. (2005, Stanford), M.S. (2000, Stanford), and Dipl. Ing. (1998, University of Belgrade). Awards include the IEEE Fellow (2024), NSF CAREER Award (2009), and multiple best-paper recognitions. He co-founded Ayar Labs, Numericcal, and MaxLinear (formerly NanoSemi). Key research areas include silicon photonics integration, nanoelectromechanical systems (NEMS), and energy-efficient computing architectures. His work spans optical interconnects, quantum photonics, and biomedical sensors, with emphasis on co-design of electronics and photonics in advanced CMOS processes.

Vivek Subramanianمشاهده پروفایل

استاد

• Physical Electronics
• Power and Energy
• Integrated Circuits

Vivek Subramanian is a professor of electrical engineering, currently affiliated with Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland, while maintaining an adjunct appointment at UC Berkeley. He holds a B.S. from Louisiana State University (1994), and M.S./Ph.D. from Stanford University (1996/1998). He co-founded Matrix Semiconductor in 1998 and joined UC Berkeley’s EECS faculty in 2000, progressing through ranks of Assistant (2000–2005), Associate (2005–2011), and Full Professor (2011–2020) before his move to EPFL. His research focuses on physical electronics, power systems, and integrated circuits, particularly in printed electronics, semiconductor materials, and flexible devices. Notable contributions include gravure-printed transparent conductors, solution-processed transistors, and RFID technologies. He has authored/co-authored over 200 publications and patents, earning awards like the IEEE Kiyo Tomiyasu Award (2015), NSF CAREER Award, and MIT TR100 (2002). Education: Ph.D. Electrical Engineering, Stanford University, 1998 M.S. Electrical Engineering, Stanford University, 1996 B.S. Electrical Engineering, Louisiana State University, 1994 His publications span advanced materials, transistor fabrication, and sensor technologies, reflecting expertise in both fundamental science and applied engineering. He has supervised numerous students and holds leadership roles in interdisciplinary research teams.

• Composites
• Nano-composites
• Microscopy
• +۵ مورد دیگر

Dr. David T. Fullwood is Professor of Mechanical Engineering at Brigham Young University (BYU), with a focus on composites/nano-composites, microscopy, and computational methods in materials science. He holds a PhD in Applied Mathematics (1991) and MS in Mechanical Engineering (2005) from BYU, alongside advanced degrees in Mathematics from the University of Utah (1989) and University of York (1987). His 25+ year career at BYU has produced 150+ peer-reviewed publications and patents, including a 2015 US patent for composite strain gauges and a 1994 flywheel patent. Education: 2005 MS (BYU), 1991 PhD (Applied Mathematics, London University) Employment: 2007–present (BYU Professor), 2006–07 (Drexel Research Assistant Professor) His research spans microstructure-sensitive design, twin transmission modeling in magnesium alloys, dislocation characterization via EBSD, and innovative sensor development using piezoresistive nanocomposites for biomechanical applications. He serves on technical committees for SAMPE and ICOTOM conferences, with 2016–2017 roles as General Chair. Recent work (2024–2025) explores strain gradient effects in aluminum alloys, viscoelastic modeling of nanocomposite sensors, and environmental factors influencing sensor drift. His 2025 publications include percolation theory for conductive composites and slip system identification in titanium alloys using coupled EBSD/HRDIC. Scientific Awards: SAMPE Best Paper (2011), CAMX Student Symposium 1st Place (2016), ICOTOM Keynote (2017) Dr. Fullwood teaches ME courses on composites, materials design, and computational methods while mentoring 13+ graduate students. His lab develops tools for EBSD-based dislocation analysis and contributes to the MagNET Research Network (2013) and multiscale mechanics studies in hexagonal metals.

Kevin Keenanمشاهده پروفایل

دانشیار

• Motor Control
• Neurophysiology
• Biomechanics
• +۴ مورد دیگر

Kevin Keenan is an Associate Professor in the Department of Kinesiology at the University of Wisconsin-Milwaukee, directing the Neuromechanics Labs . His research explores the intersection of motor control, neurophysiology, and biomechanics in aging populations. Ph.D. in Integrative Physiology, University of Colorado (2005) Postdoctoral Research Fellow, Sibley School of Mechanical and Aerospace Engineering, Cornell University (2008) MS in Kinesiology, University of Michigan (1998) BS in Kinesiology, University of Michigan (1992) His laboratory employs advanced methodologies including high-density surface EMG arrays, long-term EMG recordings, indwelling EMG, motion capture, and computational modeling to investigate neuromuscular control in aging, stroke recovery, and physical activity impacts. Current projects examine muscle coordination during fine motor tasks, biofeedback interventions for chronic pain, and noninvasive neuromuscular assessment techniques. Key article trends include aging-related motor decline (12/15), EMG/force analysis (10/15), biomechanical modeling (8/15), and cross-disciplinary collaborations with engineers and clinicians. Awards include the UWM Libraries Research Fellows Program (2010) and VISTA Travel Award (2010). Research Fellows Program (2010) - UWM Libraries VISTA Travel Award (2010) - UWM His work bridges kinesiology with mechanical engineering through collaborations and lab infrastructure. The Neuromechanics Labs serve as a hub for interdisciplinary studies involving computational modeling of motor units, stroke rehabilitation, and geriatric mobility research.

Brian Beeckenمشاهده پروفایل

استاد

• Physics
• Engineering
• Spacecraft Charging
• +۶ مورد دیگر

Brian Beecken is a Professor in the Department of Physics & Engineering within the College of Arts and Sciences at Bethel University, where he has been a faculty member since 1988. His work bridges physics and engineering, with a strong emphasis on applied research in space and defense technologies. Education: B.A. in Mathematics and Physics, Elmhurst College, 1980 M.S. in Physics, University of Minnesota, 1984 Ph.D. in Physics, University of Minnesota, 1986 Brian Beecken's research is centered on the physical and engineering challenges of spacecraft systems, particularly the modeling of dielectric charging in space environments and the development and analysis of optical and infrared detectors. His work involves advanced statistical and computational modeling to understand noise in focal plane arrays and limitations in infrared detection systems. These interests are deeply applied, with real-world implications for satellite reliability and remote sensing technologies. His publication record, though modest in volume (around a dozen papers), reflects sustained engagement with high-impact research problems in aerospace and defense. The articles span topics from spacecraft charging to infrared imaging, showing a consistent focus on detector physics and space environment interactions. The keywords across these works highlight expertise in Physics , Engineering , Optics , and Space Science , with subfields including noise modeling , infrared detection , statistical analysis , and spacecraft surface charging . Scientific Awards: Bethel Excellence in Scholarship Award Brian Beecken has secured significant external funding for his research, demonstrating strong national recognition. His work has been supported by 5 NASA fellowships , 1 NASA grant , 2 grants from the Air Force Office of Scientific Research (AFOSR) , 4 AFOSR fellowships , 4 fellowships from the American Society for Engineering Education , 1 grant from Calspan Corp. , and is currently funded by a 2-year grant from the Air Force Research Laboratory . These grants support both his research and likely the training of student researchers, although specific advisees are not listed. His collaborations with NASA's Jet Propulsion Laboratory (JPL), Langley Research Center, and multiple Air Force labs underscore his integration into national research networks. While no formal lab or research team is explicitly named, his extensive collaborative projects with federal agencies suggest leadership in a research group focused on applied physics and engineering at Bethel. His work on test facility development at Eglin Air Force Base further indicates project management and instrumentation development experience.

Gary B Lamontمشاهده پروفایل

استاد

• Evolutionary Algorithms
• Multi-Objective Optimization
• Computational Intelligence
• +۷ مورد دیگر

Dr. Gary B. Lamont is a Professor in the Department of Electrical and Computer Engineering at the Air Force Institute of Technology (AFIT), part of Air University. His work bridges computational intelligence, evolutionary algorithms, and defense systems engineering, with extensive applications in aerospace, cybersecurity, and autonomous systems. Ph.D., University of Minnesota Institute of Technology, 1970 Master of Science in Electrical Engineering, University of Minnesota Institute of Technology, 1967 Bachelor of Physics, University of Minnesota Institute of Technology, 1961 Dr. Lamont’s research centers on multi-objective evolutionary algorithms (MOEAs) , with applications in UAV swarm mission planning, network intrusion detection, image processing, and protein structure prediction. He has pioneered the use of evolutionary computation in military and defense contexts, including radar waveform design, satellite constellation planning, and autonomous agent behavior generation. His work often integrates swarm intelligence, artificial immune systems, and distributed optimization techniques. The recent publications highlight a strong trend toward military and defense applications of computational intelligence, particularly in electronic warfare, space surveillance, and cyber defense. His work frequently employs multi-objective optimization to balance competing constraints in real-world systems such as radar, UAV swarms, and network security architectures. Image processing and signal transformation using evolved algorithms also remain active areas, especially for defense imaging and compression. IEEE Fritz Russ Bio-Engineering Award, 2008 IEEE Senior Life Member, 2004 Eta Kappa Nu AFIT Teacher of the Year, 2002 WPAFB Professional Employee of the Year, 1981 Best Presentation Award, Institute of Navigation, 2008 BEST PAPER AWARD, Gameon North America '09 Best Paper Award Nominee, IEEE SSCI 2007 Dr. Lamont has advised numerous graduate students, including Jeremy Stringer, Mark Kleeman, and Dustin Nowak, many of whom have co-authored significant publications with him. His research has been supported by the U.S. Air Force and other defense agencies, enabling high-impact work in autonomous systems, network security, and optimization under uncertainty. He has led projects involving multi-agent systems, self-organized swarms, and parallel evolutionary algorithms, often in collaboration with institutions like Wright-Patterson Air Force Base. His research group at AFIT operates at the intersection of computational intelligence and defense engineering, focusing on self-organized UAV swarms , evolutionary intrusion detection systems , and adaptive signal processing . The team utilizes high-performance computing environments and simulation platforms like Swarmfare to test swarm behavior and mission planning algorithms. The lab emphasizes software engineering discipline in AI systems, as seen in tools like jREMISA, and integrates biological metaphors such as immune systems and genetic algorithms into robust cyber defense frameworks.

Derek C Nealمشاهده پروفایل

استادیار

• Power Systems
• Microgrids
• Smart Grids
• +۷ مورد دیگر

Lt Col Derek C. Neal is an Assistant Professor of Electrical Engineering at the Air Force Institute of Technology (AFIT), Wright-Patterson Air Force Base, Ohio. He is affiliated with the Department of Electrical Engineering within the Graduate School of Engineering and Management. His career combines military aviation expertise with academic research in advanced power and communication systems. Education: BS in Electrical Engineering, United States Air Force Academy, CO (2004) MS in Electrical Engineering, University of Idaho, Moscow, ID (2013) DPhil in Engineering Science, University of Oxford, UK (2024) Derek Neal's research focuses on modern power infrastructure, particularly microgrids, smart grids, demand-side management, and powerline communication . His work emphasizes reliable and efficient energy systems in isolated and rural environments. He also explores remote sensor networks, integrating energy generation and storage for autonomous data collection. His research bridges engineering and real-world deployment in challenging environments. His recent publications show a strong trend in communication systems for islanded microgrids , combining power engineering with data transmission. Topics include broadband powerline communication, performance prediction models, and techno-economic analysis of microgrid networks. Earlier work includes rural energy management and sensor arrays for climate monitoring, indicating a long-standing interest in off-grid and remote applications. Scientific Awards: No awards listed in the provided text. Derek Neal has served as a research director in unmanned aerial vehicles at the U.S. Air Force Academy and has operational experience influencing his applied research. While no formal grants or student advisement are mentioned, his leadership roles in both academic and military domains suggest mentorship and project oversight. He served in key planning and operations roles, including Chief of Tanker Plans and Exercises and Deputy Chief of Special Operations Air Refueling. He is associated with research in power systems and sensor networks, particularly through projects like the Mountain Ecosystem Sensor Array (MESA) and integrated energy systems for isolated data collection. These reflect a lab-like or team-based approach to field-deployable and resilient energy solutions, though no formal lab name is provided.

• VLSI Systems
• Analog Signal Processing
• Optoelectronic Systems
• +۷ مورد دیگر

Valencia Joyner Koomson is an Associate Professor in the Department of Electrical and Computer Engineering at Tufts University’s School of Engineering. She also holds concurrent appointments in the Tisch College and the Department of Computer Science. Her primary affiliation is with the Advanced Integrated Circuits and Systems Lab, where her research focuses on silicon-based VLSI systems, optoelectronic integration, and biomedical imaging applications. Dr. Koomson received her Ph.D. from the University of Cambridge and previously worked at the University of Southern California’s Information Sciences Institute (USC/ISI), specializing in radiation-hardened VLSI systems for military and aerospace applications. Her academic journey includes a B.S. and M.Eng. from MIT, followed by a Marshall Scholarship and Intel Foundation support. She has held visiting professorships at MIT, Boston University, and Rensselaer Polytechnic Institute. Notable awards include the NSF CAREER Award and recognition as a National Science Foundation Graduate Research Fellow. Research interests span mixed-mode VLSI systems (analog/digital/optical), optoelectronic system-on-chip integration, and applications in medical imaging and optical wireless communication. Her lab develops wearable health monitoring devices, including the AHOMKA hypertension management platform for Ghana. Recent work includes miniaturized NIRS instruments, microfluidic devices for cell analysis, and millimeter-wave circulators in CMOS. Dr. Koomson has authored over 85 publications and secured grants from NIH, NSF, and industry partners. Current projects include mHealth platforms, noninvasive brain stimulation systems, and culturally adapted healthcare solutions. She actively mentors graduate students in interdisciplinary research combining electrical engineering with biology and public health. Grants: Over 39 funded projects, including NIH’s AHOMKA initiative and NSF’s HDR Tripods Center. Labs: Advanced Integrated Circuits and Systems Lab (AICS Lab) with collaborators in biomedical and materials sciences. Teaching: Courses on VLSI design, digital electronics, and wearable systems.

Hwa Changمشاهده پروفایل

دانشیار

• Wireless Communications
• e-care
• Computer Networking
• +۵ مورد دیگر

Hwa Chang is a tenured Associate Professor in the Department of Electrical & Computer Engineering at Tufts University , where he has been a faculty member since 1987. He directs the Tufts Wireless Lab and oversees the Computer Engineering Program . His research focuses on wireless communications, sensor networks, distributed computing, and engineering education. Education: Ph.D. in Electrical and Computer Engineering (Drexel University, 1987), M.S. in Computer Science (Montana State University, 1983), B.S. in Engineering Science (National Cheng Kung University, 1977). Research Interests: Wireless Sensor Networks (WSNs), energy-efficient routing, mobile ad hoc networks, grid computing, and network security. Notable projects include the Wireless Grid initiative and WISeNET , exploring resource-sharing in dynamic environments. Awards: Outstanding Alumni Award (National Cheng-Kung University, 2005) Excellent Leadership and Service Award (New England Association of Chinese Professionals, 2005) $600K NSF grant for Virtual Markets research (2002-2004) Advising & Grants: Advised ~150 master students and 160 senior design projects Ph.D. graduates include Amlir Davis (2013), Na Wang (2009) Recipient of grants from BBN, NSF, and industry partnerships like A$W Technology Corp. Professional Activities: Leadership roles in New England Association of Chinese Professionals, IEEE, and global science organizations. Editor-in-chief for multiple conference proceedings.

Akintunde Ibitayo Akinwandeمشاهده پروفایل

استاد

• Microfabrication
• Electronic Devices
• Smart Sensors and Actuators
• +۹ مورد دیگر

Akintunde Ibitayo Akinwande is a Professor in the Department of Electrical Engineering and Computer Science at MIT. He joined MIT's Microsystems Technology Laboratories (MTL) in 1995, focusing on microfabrication, electronic devices, and advanced sensors/actuators. His research includes large-area electronics, field emission/ionization, and MEMS-based mass spectrometry. He holds numerous patents and has authored over 100 publications. Affiliations: MIT, MTL, IEEE Nanotechnology Council Education: B.Sc. (U. of Ife, Nigeria, 1978), M.S. & Ph.D. (Stanford U., 1981/1986) Research Interests: Micro/nanostructure fabrication, smart sensors, CNT-based devices, portable mass spectrometry, and flexible electronics. His work emphasizes practical applications like field-ionization systems and MEMS quadrupole filters. Publications: Recent work spans CNT field ionizers, electrospray propulsion, and microfabricated mass spectrometers. Key themes include improving device uniformity, portability, and energy efficiency. Awards: 1996 NSF Career Award Grants/Advising: Supported by DARPA, AFOSR, HP. Advises graduate students in MEMS, nanoelectronics, and materials science. Labs/Teams: Leads MTL's nanoelectronics and MEMS research groups, collaborating with faculty like Vladimir Bulović and Charles Sodini.

Harbans Singh Dhadwalمشاهده پروفایل

دانشیار

• Fiber Optic Sensors
• Photonics
• Biomedical Imaging
• +۳ مورد دیگر

Harbans Singh Dhadwal is an Associate Professor in the Department of Electrical and Computer Engineering at Stony Brook University. His research focuses on fiber optic sensors, laser systems, and biomedical imaging applications. He holds a B.Sc. (1st Class Honors) and Ph.D. in Electrical Engineering from the University of London. Dhadwal has held various academic and industry roles since 1976, including positions at the Royal Aircraft Establishment and IBM Thomas Watson Research Center. His honors include induction into the National Academy of Inventors and multiple NASA recognitions. He contributes to professional organizations like IEEE and SPIE, and his work spans sensor development, optical diagnostics, and energy transfer systems. Education: B.Sc. (1976), Electrical Engineering, University of London Ph.D. (1980), Electrical Engineering, University of London Research Interests: Fiber optic and laser systems for sensors, photon correlation spectroscopy, biomedical imaging contrast enhancement, and wireless photonic energy transfer. His innovations include capillary waveguide biosensors and adaptive optical imaging methods. Awards: 2016: Inducted into Stony Brook National Academy of Inventors 2005: Innovation, Discovery and Creation Award 1995–2000: NASA recognitions for contributions to sensor technology Grants & Collaborations: NSF, NASA, and industry-funded projects. He has advised on sensor systems for military, biomedical, and environmental applications. Labs & Teams: Active in Stony Brook’s photonics and sensor research groups, collaborating with institutions like MBARI and NASA.

Hyeongrak Choiمشاهده پروفایل

استادیار

• Quantum Information Science
• Quantum Computing
• Quantum Photonics
• +۳ مورد دیگر

Hyeongrak Choi is an Assistant Professor in the Department of Electrical and Computer Engineering at Stony Brook University. His research focuses on quantum information science, quantum computing, quantum photonics, and quantum networks. He is affiliated with the Light Engineering research group and specializes in developing scalable quantum systems through innovations in spin-photon interfaces, photonic integrated circuits, and entanglement protocols. His work emphasizes practical applications of quantum technologies, including congestion-free quantum networks, heterogeneous integration with CMOS platforms, and reinforcement learning-driven gate synthesis. Key contributions include designs for optical interconnects using 2D atomic emitters, cavity-based light-matter interactions, and entanglement distribution protocols leveraging percolation-based architectures. His research also intersects with nanofabrication techniques and superconducting materials for enhanced magnetic field control. Research Highlights Developed scalable quantum computing architectures using optical interconnects Pioneered congestion-free hierarchical entanglement routing protocols Advanced photonic integrated circuits for spin-photon coupling in CMOS platforms Designed ultrastrong magnetic light-matter interaction systems via cavity engineering Grants & Advising No specific grants or advisees are currently listed in the provided information. Labs & Teams His work is conducted in collaboration with the Light Engineering research group at Stony Brook, focusing on experimental and theoretical advancements in quantum photonics and integrated quantum systems.