School of Engineering
Showing 301-400 of 794 Results
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Ramesh Johari
Professor of Management Science and Engineering, Senior Fellow at the Stanford Institute for Human-Centered Artificial Intelligence (HAI) and, by courtesy, of Electrical Engineering
BioJohari is broadly interested in the design, economic analysis, and operation of online platforms, as well as statistical and machine learning techniques used by these platforms (such as search, recommendation, matching, and pricing algorithms).
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Joseph Kahn
Harald Trap Friis Professor
BioJoseph M. Kahn is a Professor of Electrical Engineering at Stanford University. His research addresses communication and imaging through optical fibers, including modulation, detection, signal processing and spatial multiplexing. He received A.B. and Ph.D. degrees in Physics from U.C. Berkeley in 1981 and 1986. From 1987-1990, he was at AT&T Bell Laboratories, Crawford Hill Laboratory, in Holmdel, NJ. He was on the Electrical Engineering faculty at U.C. Berkeley from 1990-2003. In 2000, he co-founded StrataLight Communications, which was acquired by Opnext, Inc. in 2009. He received the National Science Foundation Presidential Young Investigator Award in 1991 and is a Life Fellow of the IEEE.
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Thomas Kailath
Hitachi America Professor in the School of Engineering, Emeritus
BioThomas Kailath obtained a B.E.(Telecom) degree from the College of Engineering in Pune, India, in !956 and M.S. (1959) and Sc.D. (1961) degrees in Electrical Engineering from the Massachusetts Institute of Technology.
After a year at the Jet Propulsion Laboratories, he joined Stanford University in 1963 as an Associate Professor of Electrical Engineering, was promoted to Professor in 1968, and named to the Hitachi America Chair in 1988. He assumed Emeritus status in June 2001. His research has spanned a large number of engineering and mathematical disciplines, and he has mentored over a hundred doctoral and postdoctoral students. Their joint efforts have led to over 300 journal papers, several of which have received outstanding paper prizes; they have also led to a dozen patents and to several books and monographs. He has also co-founded and served as a director of several private and public high-technology companies. and has been
He is a fellow of the IEEE and a member of the US National Academy of Engineering, the US National Academy of Sciences, the American Academy of Arts and Sciences, the Indian National Academy of Engineering, the Academy of Sciences of the Developing World and the Royal Spanish Academy of Engineering. In 2006, he was inducted into the Silicon Valley Engineering Hall of Fame.
Other major honors include several IEEE medals and prizes, including the 2007 Medal of Honor in 2007, Guggenheim and Churchill Fellowships, and honorary degrees from universities in Sweden, Scotland, Spain and France. -
Theodore Kamins
Researcher, Contingent
Adjunct Professor, Electrical EngineeringBioTed received his degrees from the University of California, Berkeley. He then joined the Research and Development Laboratory of Fairchild Semiconductor, where he worked with epitaxial and polycrystalline silicon before moving to Hewlett-Packard Laboratories, where he worked on numerous semiconductor material and device topics. Before moving to Stanford, he was a Principal Scientist at Hewlett-Packard in the Information and Quantum Systems Laboratory, where he conducted research on advanced nanostructured electronic and sensing materials and devices.
Ted is co-author with R. S. Muller of the textbook "Device Electronics for Integrated Circuits" and is author of the book "Polycrystalline Silicon for Integrated Circuits and Displays." He is a Fellow of the IEEE and a Fellow of the Electrochemical Society. He has taught at the University of California, Berkeley, and at Stanford University and has been an Associate Editor of the IEEE Transactions on Electron Devices. -
Andrei Kanavalau
Ph.D. Student in Electrical Engineering, admitted Autumn 2020
BioPhD candidate in Electrical Engineering at Stanford working across LLMs/Transformers, constrained optimization, and control.
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Zerina Kapetanovic
Assistant Professor of Electrical Engineering and, by courtesy, of Computer Science and of Geophysics
BioZerina Kapetanovic is an Assistant Professor in the Department of Electrical Engineering at Stanford University working in the area of low-power wireless communication, sensing, and Internet of Things (IoT) systems. Prior to starting at Stanford, Kapetanovic was a postdoctoral researcher at Microsoft Research in the Networking Research Group and Research for Industry Group.
Kapetanovic's research has been recognized by the Yang Research Award, the Distinguished Dissertation Award from the University of Washington. She also received the Microsoft Research Distinguished Dissertation Grant and was selected to attend the 2020 UC Berkeley Rising Stars in EECS Workshop. Kapetanovic completed her PhD in Electrical Engineering from the University of Washington in 2022. -
Leonid Kazovsky
Professor (Research) of Electrical Engineering, Emeritus
BioProfessor Kazovsky and his research group are investigating green energy-efficient networks. The focus of their research is on access and in-building networks and on hybrid optical / wireless networks. Prof. Kazovsky's research group is also conducting research on next-generation Internet architectures and novel zero-energy photonic components.
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Ali Keshavarzi
Adjunct Professor, Electrical Engineering
BioAli Keshavarzi, Ph.D. is an Adjunct Professor in Electrical Engineering at Stanford University. Ali is involved in scholarly research and is an advisor to Stanford SystemX IoE Research (IoE = Internet of Everything). Currently Ali is a DARPA program manager in Microsystems Technology Office (MTO) defining impactful research frontiers in microelectronics. Ali is working on Software Defined Hardware (SDH) Program and on Foundation Required for Novel Compute (FRANC) Program while defining new concepts to push research forward on the technology, computing architecture, and data-centric application domains. Before his current role at DARPA, Ali was working with DARPA as an advisor and subject matter expert on the Electronic Resurgence Initiative (ERI). Ali is a member of DARPA MTO Investor Working Board (IWB) and the Embedded Entrepreneurship Initiative (EEI). Ali is a principal and the founder of Leading Edge Research LLC, Los Altos, CA.
Ali is a technology visionary and a leader who has been at the forefront of technology innovation with a track record of delivering critical process technologies, devices, circuits, SoCs, and modules to the semiconductor industry. Ali was the Vice President of R&D and a Fellow at Cypress Semiconductor and held various positions at Intel, TSMC, and GLOBALFOUNDRIES in a variety of technical and leadership roles over 25 years. Ali was a visiting research professor at UC Berkeley from 2017 to 2018.
Ali is an IEEE Fellow. He has over 60 U.S. patents, over 70 peer reviewed papers, has received best-paper awards and the best-panel award at ISSCC, most paper citation awards from DAC and IEDM. He has served in TPC of IEDM and ISSCC and has been the general chair of ISLPED. He received the prestigious Intel Achievement Award (IAA). Ali was awarded a distinguished Outstanding Electrical and Computer Engineer (OECE) of Purdue University.
https://engineering.purdue.edu/ECE/InfoFor/Alums/OECE/2015/keshavarzi.html -
Oussama Khatib
Weichai Professor and Professor, by courtesy, of Electrical Engineering
BioRobotics research on novel control architectures, algorithms, sensing, and human-friendly designs for advanced capabilities in complex environments. With a focus on enabling robots to interact cooperatively and safely with humans and the physical world, these studies bring understanding of human movements for therapy, athletic training, and performance enhancement. Our work on understanding human cognitive task representation and physical skills is enabling transfer for increased robot autonomy. With these core capabilities, we are exploring applications in healthcare and wellness, industry and service, farms and smart cities, and dangerous and unreachable settings -- deep in oceans, mines, and space.
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Butrus Khuri-Yakub
Professor (Research) of Electrical Engineering, Emeritus
BioButrus (Pierre) T. Khuri-Yakub is a Professor of Electrical Engineering at Stanford University. He received the BS degree from the American University of Beirut, the MS degree from Dartmouth College, and the Ph.D. degree from Stanford University, all in electrical engineering. His current research interests include medical ultrasound imaging and therapy, ultrasound neuro-stimulation, chemical/biological sensors, gas flow and energy flow sensing, micromachined ultrasonic transducers, and ultrasonic fluid ejectors. He has authored over 600 publications and has been principal inventor or co-inventor of 107 US and international issued patents. He was awarded the Medal of the City of Bordeaux in 1983 for his contributions to Nondestructive Evaluation, the Distinguished Advisor Award of the School of Engineering at Stanford University in 1987, the Distinguished Lecturer Award of the IEEE UFFC society in 1999, a Stanford University Outstanding Inventor Award in 2004, Distinguished Alumnus Award of the School of Engineering of the American University of Beirut in 2005, Stanford Biodesign Certificate of Appreciation for commitment to educate, mentor and inspire Biodesgin Fellows, 2011, and 2011 recipient of IEEE Rayleigh award.
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Meo Kittiwanich
Director of Student and Academic Affairs, Electrical Engineering - Student Services
Current Role at StanfordDirector of Student and Academic Service in the Electrical Engineering Department.
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Garrett Knuf
Ph.D. Student in Electrical Engineering, admitted Autumn 2026
BioResearch interests: Analog/RF integrated circuit design, wireless sensing, and biomedical devices
B.S. in Electrical Engineering, Caltech (2025) -
Shi-Xi Kong
Ph.D. Student in Electrical Engineering, admitted Autumn 2026
BioShi-Xi Kong is an incoming EE PhD student at Stanford. His research interest lies in translating scientific insights into practical device technologies for logic, memory, and emerging computing paradigms.
Over the past three years, as a undergraduate research assistant at NYCU, he worked on emerging memory devices such as FTJ and STT-MRAM, focusing on their device physics and applications.
He is now studying trap-assisted tunneling and quantum transport at 2D contacts. -
Gregory Kovacs
Professor of Electrical Engineering, Emeritus
Current Research and Scholarly InterestsHis present research areas include instruments for biomedical and biological applications including space flight, solid-state sensors and actuators, cell-based sensors for toxin detection and pharmaceutical screening, microfluidics, electronic interfaces to tissue, and biotechnology, all with emphasis on solving practical problems.
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Christoforos Kozyrakis
Leonard Bosack and Sandy K. Lerner Professor of Engineering and Professor of Computer Science
BioChristos Kozyrakis is the Leonard Bosack and Sandy K. Lerner Professor of Engineering and a Professor of Electrical Engineering and Computer Science at Stanford University. His primary research areas are computer architecture and computer systems. His current work focuses on cloud computing, systems for machine learning, and machine learning for systems.
Christos holds a BS degree from the University of Crete and a PhD degree from the University of California at Berkeley. He is a fellow of the ACM and the IEEE. He has received the ACM SIGARCH Maurice Wilkes Award, the ISCA Influential Paper Award, the NSF Career Award, the Okawa Foundation Research Grant, and faculty awards by IBM, Microsoft, and Google. -
Siddharth Krishnan
Assistant Professor of Electrical Engineering, and by courtesy, of Bioengineering and of Materials Science and Engineering
Current Research and Scholarly InterestsThe Krishnan Lab develops bioelectronic devices, tools and systems for closed loop disease management. Our work is divided into the following broad areas:
1. Biohybrid electronics for therapy and sensing: we combine living cells as functional parts of implantable devices, leveraging their ability to produce complex biologic therapeutics in a constitutive or triggerable manner, and their ability to sense their complex dynamic environment. These efforts are focused on developed functional cures for diseases like Type I Diabetes and other conditions requiring the regular infusion of proteins, peptides or antibody drugs.
2. Digital drug release systems for particulate forms of biologic drugs: Many complex protein and peptide drugs are not stable in solution, thereby frustrating the ability to delivery them through pumps and autoinjectors. This need is particularly acute for drugs that need to be administered as emergency rescue therapies, such as glucagon in the context of type 1 Diabetes. We develop implantable, miniaturized microelectromechanical devices that can store particulate (powders, pills) forms of these drugs and release them in a close loop manner based on wireless inputs from sensors.
3. Wearable sensors: Wearables to detect biophysical (temperature, flow, cardiac activity) and biochemical markers of health are gaining importance for closed-loop disease management and personalized medicine. We design hardware for on-chip molecular profiling based on sampling biofluids in noninvasive or minimally invasive formats.
4. New wireless power architectures for implantable bioelectronics: We develop high-power, high-efficiency strongly coupled power harvesting system to power battery-free implant systems. -
Taesoo Kwon
Visiting Professor, Electrical Engineering
BioTaesoo Kwon is a Professor in the Department of Computer Science and Engineering at Seoul National University of Science and Technology (SeoulTech), Seoul, South Korea. He received his B.S. (2001), M.S. (2003), and Ph.D. (2007) degrees in Electrical Engineering from KAIST. He is currently on sabbatical leave as a Visiting Professor in the Department of Electrical Engineering at Stanford University (2026–2027). His research applies stochastic geometry to the modeling and performance analysis of wireless networks, with a current focus on AI-enabled networks and the optimization problems that arise in them.
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Sanjay Lall
Professor of Electrical Engineering
BioSanjay Lall is Professor of Electrical Engineering in the Information Systems Laboratory and Professor of Aeronautics and Astronautics at Stanford University. He received a B.A. degree in Mathematics with first-class honors in 1990 and a Ph.D. degree in Engineering in 1995, both from the University of Cambridge, England. His research group focuses on algorithms for control, optimization, and machine learning. Before joining Stanford he was a Research Fellow at the California Institute of Technology in the Department of Control and Dynamical Systems, and prior to that he was a NATO Research Fellow at Massachusetts Institute of Technology, in the Laboratory for Information and Decision Systems. He was also a visiting scholar at Lund Institute of Technology in the Department of Automatic Control. He has significant industrial experience applying advanced algorithms to problems including satellite systems, advanced audio systems, Formula 1 racing, the America's cup, cloud services monitoring, and integrated circuit diagnostic systems, in addition to several startup companies. Professor Lall has served as Associate Editor for the journal Automatica, on the steering and program committees of several international conferences, and as a reviewer for the National Science Foundation, DARPA, and the Air Force Office of Scientific Research. He is the author of over 130 peer-refereed publications.
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Monica Lam
Kleiner Perkins, Mayfield, Sequoia Capital Professor in the School of Engineering, Professor of Computer Science and, by courtesy, of Electrical Engineering
BioProfessor Lam's current research interest is to create effective and reliable AI assistants to accelerate the discovery of knowledge. Her OVAL lab has created numerous open-source LLM-based tools used by consumers, historians, and journalists in their work; currently, she is focusing on research assistants that can discover new insights for biomedicine and other technical areas.
Professor Lam's team has created the first quantifiably factual and engaging conversational agent, which has won the Best Research of the Year Award from Wikimedia Foundation; pioneered deep research agent called STORM that has been used by about a million users; developed the best-performing agent for retrieving knowledge from hybrid sources, including databases, knowledge graphs, and free-text, currently deployed at Wikimedia; created an agent framework that produces fluent task-oriented agents that do not hallucinate.
Prof. Lam is also an expert in compilers for high-performance machines. Her pioneering work of affine partitioning provides a unifying theory to the field of loop transformations for parallelism and locality. Her software pipelining algorithm is used in commercial systems for instruction level parallelism. Her research team created the first, widely adopted research compiler, SUIF. She is a co-author of the classic compiler textbook, popularly known as the “dragon book”. She was on the founding team of Tensilica, now a part of Cadence.
Dr. Lam is a Member of the National Academy of Engineering and an Association of Computing Machinery (ACM) Fellow. -
Hannah Lee
Ph.D. Student in Electrical Engineering, admitted Autumn 2023
Current Research and Scholarly InterestsComputational Neuroscience, Statistical Modeling for Neuroscience
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Jin Hyung Lee
Associate Professor of Neurology and Neurological Sciences (Neurology Research), of Neurosurgery and of Bioengineering and, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsIn vivo visualization and control of neural circuits
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Thomas Lee
Professor of Electrical Engineering
BioProfessor Lee's principal areas of professional interest include analog circuitry of all types, ranging from low-level DC instrumentation to high-speed RF communications systems. His present research focus is on CMOS RF integrated circuit design, and on extending operation into the terahertz realm.
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Craig Levin
Professor of Radiology (Molecular Imaging Program at Stanford/Nuclear Medicine) and, by courtesy, of Physics, of Electrical Engineering and of Bioengineering
Current Research and Scholarly InterestsMolecular Imaging Instrumentation
Laboratory
Our research interests involve the development of novel instrumentation and software algorithms for in vivo imaging of cellular and molecular signatures of disease in humans and small laboratory animal subjects. -
Philip Levis
Professor of Computer Science and of Electrical Engineering
BioProfessor Levis' research focuses on the design and implementation of efficient software systems for embedded wireless sensor networks; embedded network sensor architecture and design; systems programming and software engineering.
