Stanford University
Showing 401-500 of 797 Results
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Samuel Low
Ph.D. Student in Aeronautics and Astronautics, admitted Winter 2023
Ph.D. Minor, Electrical EngineeringBioSamuel Low is a Ph.D. candidate in the Stanford Space Rendezvous Laboratory, advised by Professor Simone D'Amico. Sam graduated from Stanford with an M.S. in Aeronautics and Astronautics (2023) and from the Singapore University of Technology and Design (SUTD) with a B.Sc. in Engineering Product Development (2018). His broad interests are in the guidance, navigation, control and autonomy of distributed space systems, such as formations and swarm satellites. His research focus is on enabling precise and robust state estimation between distributed spacecraft, centered on sensor/data fusion with carrier phase differential GNSS, with immediate applications to flight missions such as the VISORS and SWARM-EX missions. He had worked previously in DSO National Laboratories, Singapore, on space mission design and on developing navigation algorithms for Singapore's first formation flying satellite mission. He received the DSO Postgraduate Fellowship (2021), the Tan Kah Kee Postgraduate Scholarship (2021), the DSO SOAR Scholarship (2017), and the Asian Leadership Program Scholarship (2015-2018) jointly awarded by SUTD and Zhejiang University. In his spare time, he enjoys photography, painting, and outdoor activities.
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David Luckham
Professor (Research) of Electrical Engineering, Emeritus
BioProfessor (Research) Emeritus of Electrical Engineering.
Research Professor of Electrical Engineering, Stanford University, 1977 to 2003.
Vinton Hayes Senior Research Fellow, Harvard University, 1976.
Senior Research Associate, Stanford Artificial Intelligence Laboratory, 1972-1977.
Associate Professor, UCLA Computer Science Department, 1970-1972.
Professor Luckham's research and consulting activities in software technology include multi-processing and business processing languages, event-driven systems, complex event processing, commercial middleware, program verification, systems architecture modelling and simulation, and artificial intelligence (automated deduction and reasoning systems).
Prof. Luckham has held faculty and invited faculty positions in both mathematics and computer science at eight major universities in Europe and the United States. He has been an invited lecturer, keynote speaker, panelist, and USA delegate at many international conferences and congresses. Until 1999 he was a member of the Computer Systems Laboratory, Stanford University and directed the Program Analysis and Verification Project. He taught courses on Artifical Intelligence and automated deduction, programming languages and program verification, the Anna verification system, systems prototyping and simulation languages, and Complex Event Processing. He was one of the founders of Rational Software, Inc. in 1981.
In the past he has served on review committees during the DoD Ada Language design competition, and was a Distinguished Reviewer on the DoD Ada9X design project. In 1993-94 he was a member of the TRW Independent Assessment Team tasked with reviewing the FAA's Advanced Automation System for the FAA, and in 1994-96 he was a distinguished reviewer for the DoD High Level Language for modelling and simulation. He has published four books and over 100 technical papers; two ACM/IEEE Best Paper Awards, several papers are now in historical anthologies and book collections. His 2002 book is a benchmark introduction to complex event processing, "The Power of Events" . His 2012 book , "Event Processing for Business" documents current applications of Complex Event Processing in many areas of Information Technology. -
Robert Lupoiu
Ph.D. Student in Electrical Engineering, admitted Autumn 2021
BioRobert is a PhD candidate in Electrical Engineering, co-advised by Jonathan Fan and Ivan Soltesz. His research is generously supported by the Knight-Hennessy Scholars program.
Robert's work has been focused on pushing the boundaries of optical engineering and neuroscience through innovations in machine learning and applied physics. Most recently, he developed agentic reasoning frameworks that leverage a new class of ultra-fast and general Maxwell surrogate solvers to power the automated design of multi-objective, multi-wavelength metasurfaces in near real-time (as opposed to weeks of manual specialized design work). -
Pete Mahowald
Adjunct Lecturer, Electrical Engineering
BioInterests include wireless communication systems like those found in IoT and satellites, especially in the context of the student technology clubs. These clubs can support the curriculum, host career exploration and experiment with the wise application of AI in lab engineering. Of current interest is SMesh which uses LoRa Mesh Networking, the SAMWISE satellite testing, and classes such as EE156 (PCBs), EE133 (radio components), EE186 (embedded processors) and the AA capstone class for satellites. Experience in high volume and contract design and manufacturing at HP and Apple.
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Mohamadali Malakoutian
Postdoctoral Scholar, Electrical Engineering
BioMohamadali is an experienced Postdoctoral researcher at Stanford University with a demonstrated history of working in high-power high-frequency transistors, all-diamond diodes, and diamond integration for thermal management, III-V wide bandgap semiconductors, integrated microsystems including MEMS/NEMS devices, and microfluidic channels. He is an expert in fab process design-integration, process and device modeling (Athena, Atlas), thin-film deposition techniques (Evaporation, Sputtering, PVD, ALD, and PECVD), dry etching (ICP/RIE etching of Diamond, AlN, SiN, Al2O3, SiO2), wet etching (bulk Si micromachining), and single-crystalline/polycrystalline diamond growth. He is currently working on the growth, fabrication, and characteristics of GaN HEMTs with diamond integrated for thermal management to solve the self-heating problem of mm-wave devices.
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Ryosuke Mashiko
Ph.D. Student in Electrical Engineering, admitted Autumn 2025
BioRyosuke Mashiko is a Ph.D. student in the Department of Electrical Engineering at Stanford University. He graduated from the University of Tokyo with a B.E. (2022) and an M.E. (2024), where he worked on computational imaging based on unsupervised learning and large-scale optical computing. Currently, he works on integrated photonics for sensing and computing applications.
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Matthew McCready
Ph.D. Student in Electrical Engineering, admitted Autumn 2021
BioI am a 1st year PhD Student in Electrical Engineering at Stanford, with a M.Sc in Physics from The University of Western Ontario. I have over 4 years of research experience across various projects in medical and condensed matter physics. My interests focus on the design and development of tools that improve quality of life through the application of physics.
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Nick McKeown
Kleiner Perkins, Mayfield, Sequoia Capital Professor in the School of Engineering and Professor of Computer Science, Emeritus
BioMcKeown researches techniques to improve the Internet. Most of this work has focused on the architecture, design, analysis, and implementation of high-performance Internet switches and routers. More recently, his interests have broadened to include network architecture, backbone network design, congestion control; and how the Internet might be redesigned if we were to start with a clean slate.
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Yuchen Mei
Ph.D. Student in Electrical Engineering, admitted Autumn 2023
BioYuchen Mei is an EE Ph.D. student at Stanford University in Prof. Priyanka Raina's group. He received a B.S. degree in Electronic Information Science and Technology from Nanjing University (China) in 2021 and a M.S. degree in Electrical Engineering from Stanford in 2023. He is interested in digital VLSI design, domain-specific accelerators, and design automation.
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Teresa Meng
Reid Weaver Dennis Professor in Electrical Engineering and Professor of Computer Science, Emerita
BioTeresa H. Meng is the Reid Weaver Dennis Professor of Electrical Engineering, Emerita, at Stanford University. Her research activities in the first 10 years focused on low-power circuit and system design, video signal processing, and wireless communications. In 1998, Prof. Meng took leave from Stanford and founded Atheros Communications, Inc., which developed semiconductor system solutions for wireless network communications products. After returning to Stanford in 2000 to continue her teaching and research, Prof. Meng turned her research interest to applying signal processing and IC design to bio-medical engineering. She collaborated with Prof. Krishna Shenoy on neural signal processing and neural prosthetic systems. She also directed a research group exploring wireless power transfer and implantable bio-medical devices. Prof. Meng retired from Stanford in 2013.
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Bennet Meyers
Adjunct Professor, Electrical Engineering
BioI am a Staff Scientist with SLAC National Accelerator Laboratory, in the Grid Integration Systems and Mobility (GISMo) Lab in the Applied Energy Division. I completed my PhD in Electrical Engineering at Stanford University in Winter 2023, advised by Prof. Stephen Boyd. We recently wrote a book on signal decomposition, which can be found under my publications tab. More info available on my personal website.
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David Miller
W.M. Keck Foundation Professor of Electrical Engineering, Emeritus
Current Research and Scholarly InterestsDavid Miller’s research interests include the use of optics in switching, interconnection, communications, computing, and sensing systems, physics and applications of quantum well optics and optoelectronics, and fundamental features and limits for optics and nanophotonics in communications and information processing.
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John Mitchell
Mary and Gordon Crary Family Professor in the School of Engineering, and Professor, by courtesy, of Electrical Engineering and of Education
Current Research and Scholarly InterestsProgramming languages, computer security and privacy, blockchain, machine learning, and technology for education
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Subhasish Mitra
William E. Ayer Professor of Electrical Engineering and Professor of Computer Science
BioSubhasish Mitra holds the William E. Ayer Endowed Chair Professorship in the Departments of Electrical Engineering and Computer Science at Stanford University. He directs the Stanford Robust Systems Group, serves on the leadership team of the Microelectronics Commons AI Hardware Hub funded by the US CHIPS and Science Act, leads the Computation Focus Area of the Stanford SystemX Alliance, and is the Associate Chair (Faculty Affairs) of Computer Science. His research ranges across Robust Computing, NanoSystems, Electronic Design Automation (EDA), and Neurosciences. Results from his research group have influenced almost every contemporary electronic system and have inspired significant government and research initiatives in multiple countries. He has held several international academic appointments — the Carnot Chair of Excellence in NanoSystems at CEA-LETI in France, Invited Professor at EPFL in Switzerland, and Visiting Professor at the University of Tokyo in Japan. Prof. Mitra also has consulted for major technology companies including AMD (XIlinx), Cisco, Google, Intel, Merck (EMD Electronics), and Samsung.
In the field of Robust Computing, he has created many key approaches for circuit failure prediction, CASP on-line diagnostics, QED system validation, soft error resilience, and X-Compact test compression. Their adoption by industry is growing rapidly, in markets ranging from cloud computing to automotive systems, under various names (Silicon Lifecycle Management, Predictive Health Monitoring, In-System Test Architecture, In-field Scan, In-fleet Scan). His X-Compact approach has proven essential to cost-effective manufacturing and high-quality testing of almost all 21st century systems. X-Compact and its derivatives enabled billions of dollars of cost savings across the industry.
In the field of NanoSystems, with his students and collaborators, he demonstrated several firsts: the first NanoSystems hardware among all beyond-silicon nanotechnologies for energy-efficient computing (the carbon nanotube computer), the first 3D NanoSystem with computation immersed in data storage, the first published end-to-end computing systems using resistive memories (Resistive RAM-based non-volatile computing systems delivering 10-fold energy efficiency versus embedded flash), and the first monolithic 3D integration combining heterogeneous logic and memory technologies in silicon foundry. These received wide recognition: cover of NATURE, several Highlights to the US Congress, and highlight as "important scientific breakthrough" by news organizations worldwide.
Prof. Mitra's honors include the Harry H. Goode Memorial Award (by IEEE Computer Society for outstanding contributions in the information processing field), Newton Technical Impact Award in EDA (test-of-time honor by ACM SIGDA and IEEE CEDA), the University Researcher Award (by Semiconductor Industry Association and Semiconductor Research Corporation to recognize lifetime research contributions), the EDAA Achievement Award (by European Design and Automation Association, for outstanding lifetime contributions to electronic design, automation and testing), the Intel Achievement Award (Intel’s highest honor), and the Distinguished Alumnus Award from the Indian Institute of Technology, Kharagpur. He and his students have published over 15 award-winning papers across 5 topic areas (technology, circuits, EDA, test, verification) at major venues including the Design Automation Conference, International Electron Devices Meeting, International Solid-State Circuits Conference, International Test Conference, Symposia on VLSI Technology/VLSI Circuits, and Formal Methods in Computer-Aided Design. Stanford undergraduates have honored him several times "for being important to them." He is a Fellow of the Association for Computing Machinery (ACM) and the Institute of Electrical and Electronics Engineers (IEEE), and a Foreign Member of Academia Europaea. -
Shayan Mohajer Hamidi
Postdoctoral Scholar, Electrical Engineering
Current Research and Scholarly InterestsReasoning in large language models (LLMs) and improving their systematic generalization
Post-training and fine-tuning methods for alignment, reliability, and efficiency
Autonomous agent architectures built on top of foundation models
Generative modeling with diffusion models and their multimodal applications
Theory and optimization methods for modern deep learning systems -
Fernando Mujica
Adjunct Professor, Electrical Engineering
BioFernando Mujica is an Adjunct Professor in the Department of Electrical Engineering at Stanford University. He received the Ph.D. degree in electrical engineering from the Georgia Institute of Technology in 1999 and B.S. and M.S. degrees from Universidad Simón Bolivar in 1993 and 1995, respectively. Prof. Mujica's research interests are in the area of signal processing. He has been granted more than 25 US patents over a wide range of applications. Prof. Mujica was elected to the Tau Beta Pi Teaching Honor Roll in 2022.
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Mete Muslu
Postdoctoral Scholar, Electrical Engineering
BioA. Mete Muslu received his B.Sc. and M.Sc. degrees in Mechanical Engineering from Ozyegin University, Istanbul, Turkey, in 2018 and 2020, respectively, and his Ph.D. in Mechanical Engineering from the Georgia Institute of Technology, Atlanta, GA, USA, in 2025. His doctoral research focused on developing single- and two-phase cooling solutions for integrated power electronics packages and multi-functional cold plates. His current research interests include understanding device-level multi-physics and developing integrated thermal management solutions spanning from the chip to the package level for high-performance computing and power applications.
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Reza Nasiri Mahalati
Adjunct Professor, Electrical Engineering
BioReza Nasiri Mahalati is an Adjunct Professor in the department of Electrical Engineering at Stanford University and a senior hardware design engineer at Apple Inc. His current work focuses on the development of new hardware technologies that enable more fluid human computer interactions. He received the B.S. degree in Electrical Engineering from the Sharif University of Technology, Tehran, Iran in 2008, and the M.S. and Ph.D. degrees in Electrical Engineering from Stanford University in 2010 and 2013, respectively. While at Stanford, his research focused on mode-division multiplexing in multi-mode optical fibers, fiber-based imaging, optimization and digital signal processing.
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Koosha Nassiri Nazif
Affiliate, Program-Pop, E.
BioDr. Koosha Nassiri Nazif received his Ph.D. in Electrical Engineering (Jan 2022) and his M.S. in Mechanical Engineering (2016) from Stanford University. Along the way, he worked at Apple (2019) on OLED/LCD displays and at HP Labs (2017) on 3D electronics thermal management. He is currently a post-doctoral scholar at Stanford developing novel flexible optoelectronic devices, including solar cells and wearable sensors, based on 2D transition metal dichalcogenides. https://www.arinna.xyz.
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Yoshio Nishi
Professor (Research) of Electrical Engineering, Emeritus
Current Research and Scholarly Interestsresistive switching nonvolatile memory mechanism, and 2D materials and devices
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Dwight Nishimura
Addie and Al Macovski Professor, Emeritus
Current Research and Scholarly Interestsmedical imaging, magnetic resonance imaging
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Frederick U Nitta
Ph.D. Student in Electrical Engineering, admitted Autumn 2024
BioFrederick received his B.S. with EE and Chemistry from Stanford (2024), alongside a co-term in MSE (2024) at Stanford. He completed his EE honors thesis with Prof. Krishna Saraswat and Prof. Eric Pop on the efficiency limits of transition metal dichalcogenide (TMD) solar cells, receiving the Firestone Medal for Excellence in Undergraduate Research. He is now pursuing his Ph.D. in EE, on 3R-phase TMDs and their bulk photovoltaic effect, and on the physics and applications of transition metal oxides. He is co-advised by Prof. Eric Pop and Prof. Andrew Mannix.
