School of Engineering
Showing 1-100 of 567 Results
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Maneesh Agrawala
Forest Baskett Professor in the School of Engineering and Professor, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsComputer Graphics, Human Computer Interaction and Visualization.
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Geun Ho Ahn
Ph.D. Student in Electrical Engineering, admitted Autumn 2018
Grader for EE222. Autumn 2019-20., Electrical Engineering - Student ServicesBioI am a PhD candidate in Electrical Engineering at Stanford University. I joined Professor Jelena Vuckovic's Nanoscale Quantum Photonics Lab in 2018, and I am currently working on computational optimizations of photonic devices and quantum technologies made from nanoscale fabrications. I obtained my undergraduate degree in Electrical Engineering and Computer Sciences from University of California, Berkeley.
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Rehman Ali
Ph.D. Student in Electrical Engineering, admitted Autumn 2017
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2017BioRehman Ali received the B.S. degree in biomedical engineering from Georgia Institute of Technology in 2016. He is currently an NDSEG fellow, completing a M.S. in Computational & Mathematical Engineering and pursuing a Ph.D. in Electrical Engineering at Stanford. His research interests include signal processing, inverse problems, computational modeling of acoustics, and real-time beamforming algorithms. His current research is developing accurate and spatially resolved speed-of-sound imaging in tissue based on phase aberration correction, spatial coherence, and computed tomography
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Amin Arbabian
Associate Professor of Electrical Engineering
Current Research and Scholarly InterestsMy group's research covers RF circuits and system design for (1) biomedical, (2) sensing, and (3) Internet of Things (IoT) applications.
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Serhat Arslan
Ph.D. Student in Electrical Engineering, admitted Autumn 2018
Current Research and Scholarly InterestsNetwork intelligence
There are 2 main aspects of network management:
Sensing
- Collecting useful and enough amount of information from the network is essential for modern, data-centric decision processes to work well.
Frameworks such as In-band Network Telemetry could be utilized to collect precise information on every single packet in the network.
Control
- Modern data science methodologies allow engineers to infer about the state of the network.
Naturally, the next step is to design tailored control algorithms that would utilize available resources the best.
Potential methods include, but not limited to, machine learning algorithms and control theory. -
Richard Bahr
Adjunct Professor, Electrical Engineering
BioAcademic experience:
Presently advising the Stanford SystemX Alliance, and the EE/CS AHA! Research center as an adjunct prof. Formerly the executive director of the SystemX Alliance, and a consulting professor at Stanford.
Commercial experience:
Presently an advisor, consultant and mentor to a number of startup companies primarily in the computing and wireless spaces. Formerly the SrVP responsible for Wi-Fi technology at Qualcomm, and before that the engineering executive responsible for the MIPS microprocessor and Cray supercomputer development at SGI.
Education: BSEE and MSEE from MIT.
For more extensive background, please consult my linked in profile: https://www.linkedin.com/in/rickbahr. -
Nicholas Bambos
Richard W. Weiland Professor in the School of Engineering and Professor of Electrical Engineering
BioNick Bambos is a Professor at Stanford University, having a joint appointment in the Department of Electrical Engineering and the Department of Management Science & Engineering. He heads the Network Architecture and Performance Engineering research group at Stanford, conducting research in wireless network architectures, the Internet infrastructure, packet switching, network management and information service engineering, engaged in various projects of his Network Architecture Laboratory (NetLab). His current technology research interests include high-performance networking, autonomic computing, and service engineering. His methodological interests are in network control, online task scheduling, queueing systems and stochastic processing networks.
He has graduated over 20 Ph.D. students, who are now at leadership positions in academia (Stanford, CalTech, Michigan, GaTech, NYU, UBC, etc.) and the information technology industry (Cisco, Broadcom, IBM Labs, Qualcomm, Nokia, MITRE, Sun Labs, ST Micro, Intel, Samsung, TI, etc.) or have become successful entrepreneurs. From 1999 to 2005 he served as the director of the Stanford Networking Research Center, a major partnership/consortium between Stanford and information technology industries, involving tens of corporate members, faculty and doctoral students. He is now heading a new research initiative at Stanford on Networked Information Service Engineering.
He is on the Editorial Boards of several research journals and serves on various international technical committees and review panels for networking research and information technologies. He has been serving on the boards of various start-up companies in the Silicon Valley, consults on high technology development and management matters, and has served as lead expert witness in high-profile patent litigation cases in networking and computing. -
Mohsen Bayati
Associate Professor of Operations, Information and Technology at the Graduate School of Business and, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsMy main research areas of interest include:
1) Probabilistic and statistical models for decision making with large-scale and complex data (and applications in healthcare).
2) Graphical models and message-passing algorithms. -
Stacey Bent
Vice Provost for Graduate Education and Postdoctoral Affairs, Jagdeep and Roshni Singh Professor in the School of Engineering, and Professor, by courtesy, of Materials Science & Engineering and of Electrical Engineering
BioThe research in the Bent laboratory is focused on understanding and controlling surface and interfacial chemistry and applying this knowledge to a range of problems in semiconductor processing, micro- and nano-electronics, nanotechnology, and sustainable and renewable energy. Much of the research aims to develop a molecular-level understanding in these systems, and hence the group uses of a variety of molecular probes. Systems currently under study in the group include functionalization of semiconductor surfaces, mechanisms and control of atomic layer deposition, molecular layer deposition, nanoscale materials for light absorption, interface engineering in photovoltaics, catalyst and electrocatalyst deposition.
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Kwabena Boahen
Professor of Bioengineering and of Electrical Engineering
Current Research and Scholarly InterestsLarge-scale models of sensory, perceptual and motor systems
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Dan Boneh
Cryptography Professor, Professor of Electrical Engineering and Senior Fellow at the Freeman Spogli Institute for International Studies
BioProfessor Boneh heads the applied cryptography group and co-direct the computer security lab. Professor Boneh's research focuses on applications of cryptography to computer security. His work includes cryptosystems with novel properties, web security, security for mobile devices, and cryptanalysis. He is the author of over a hundred publications in the field and is a Packard and Alfred P. Sloan fellow. He is a recipient of the 2014 ACM prize and the 2013 Godel prize. In 2011 Dr. Boneh received the Ishii award for industry education innovation. Professor Boneh received his Ph.D from Princeton University and joined Stanford in 1997.
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Stephen Boyd
Samsung Professor in the School of Engineering and Professor, by courtesy, of Computer Science and of Management Science and Engineering
BioStephen P. Boyd is the Samsung Professor of Engineering, and Professor of Electrical Engineering in the Information Systems Laboratory at Stanford University. He has courtesy appointments in the Department of Management Science and Engineering and the Department of Computer Science, and is member of the Institute for Computational and Mathematical Engineering. His current research focus is on convex optimization applications in control, signal processing, machine learning, and finance.
Professor Boyd received an AB degree in Mathematics, summa cum laude, from Harvard University in 1980, and a PhD in EECS from U. C. Berkeley in 1985. In 1985 he joined the faculty of Stanford's Electrical Engineering Department. He has held visiting Professor positions at Katholieke University (Leuven), McGill University (Montreal), Ecole Polytechnique Federale (Lausanne), Tsinghua University (Beijing), Universite Paul Sabatier (Toulouse), Royal Institute of Technology (Stockholm), Kyoto University, Harbin Institute of Technology, NYU, MIT, UC Berkeley, CUHK-Shenzhen, and IMT Lucca. He holds honorary doctorates from Royal Institute of Technology (KTH), Stockholm, and Catholic University of Louvain (UCL).
Professor Boyd is the author of many research articles and four books: Introduction to Applied Linear Algeba: Vectors, Matrices, and Least-Squares (with Lieven Vandenberghe, 2018), Convex Optimization (with Lieven Vandenberghe, 2004), Linear Matrix Inequalities in System and Control Theory (with L. El Ghaoui, E. Feron, and V. Balakrishnan, 1994), and Linear Controller Design: Limits of Performance (with Craig Barratt, 1991). His group has produced many open source tools, including CVX (with Michael Grant), CVXPY (with Steven Diamond) and Convex.jl (with Madeleine Udell and others), widely used parser-solvers for convex optimization.
Professor Boyd has received many awards and honors for his research in control systems engineering and optimization, including an ONR Young Investigator Award, a Presidential Young Investigator Award, and the AACC Donald P. Eckman Award. In 2013, he received the IEEE Control Systems Award, given for outstanding contributions to control systems engineering, science, or technology. In 2012, Michael Grant and he were given the Mathematical Optimization Society's Beale-Orchard-Hays Award, given every three years for excellence in computational mathematical programming. He is a Fellow of the IEEE, SIAM, and INFORMS, a Distinguished Lecturer of the IEEE Control Systems Society, and a member of the US National Academy of Engineering and a foreign member of the Chinese Academy of Engineering. He has been invited to deliver more than 90 plenary and keynote lectures at major conferences in control, optimization, signal processing, and machine learning.
He has developed and taught many undergraduate and graduate courses, including Signals & Systems, Linear Dynamical Systems, Convex Optimization, and a recent undergraduate course on Matrix Methods. His graduate convex optimization course attracts around 300 students from more than 20 departments. In 1991 he received an ASSU Graduate Teaching Award, and in 1994 he received the Perrin Award for Outstanding Undergraduate Teaching in the School of Engineering. In 2003, he received the AACC Ragazzini Education award, for contributions to control education, with citation: “For excellence in classroom teaching, textbook and monograph preparation, and undergraduate and graduate mentoring of students in the area of systems, control, and optimization.” In 2016 he received the Walter J. Gores award, the highest award for teaching at Stanford University. In 2017 he received the IEEE James H. Mulligan, Jr. Education Medal, for a career of outstanding contributions to education in the fields of interest of IEEE, with citation "For inspirational education of students and researchers in the theory and application of optimization." -
Iliana Erteza Bray
Ph.D. Student in Electrical Engineering, admitted Autumn 2017
Masters Student in Electrical Engineering, admitted Winter 2018BioPh.D. candidate in Electrical Engineering
Member of the Brain Interfacing Laboratory (BIL) -
Emmanuel Candes
Barnum-Simons Chair in Math and Statistics, and Professor of Statistics and, by courtesy, of Electrical Engineering
BioEmmanuel Candès is the Barnum-Simons Chair in Mathematics and Statistics, a professor of electrical engineering (by courtesy) and a member of the Institute of Computational and Mathematical Engineering at Stanford University. Earlier, Candès was the Ronald and Maxine Linde Professor of Applied and Computational Mathematics at the California Institute of Technology. His research interests are in computational harmonic analysis, statistics, information theory, signal processing and mathematical optimization with applications to the imaging sciences, scientific computing and inverse problems. He received his Ph.D. in statistics from Stanford University in 1998.
Candès has received several awards including the Alan T. Waterman Award from NSF, which is the highest honor bestowed by the National Science Foundation, and which recognizes the achievements of early-career scientists. He has given over 60 plenary lectures at major international conferences, not only in mathematics and statistics but in many other areas as well including biomedical imaging and solid-state physics. He was elected to the National Academy of Sciences and to the American Academy of Arts and Sciences in 2014. -
Shuo Cao
Visiting Associate Professor, Electrical Engineering
BioShuo Cao received the Ph.D. in condensed matter physics from the Institute of Physics (IOP), Chinese Academy of Sciences, University of Chinese Academy of Sciences (UCAS), Beijing, China in 2015. He obtained the M.Sc. degree in theoretical physics in 2004 and the B.Sc. degree in physics in 2000 from the School of Physics, Liaoning University, Shenyang, China.
Since 2004, he has been on the Faculty at Liaoning University, Shenyang and currently holds the position of Associate professor in the Department of Fundamental Physics, School of Physics, Liaoning University, Shenyang, where he is currently serving as Chair of the Department.
Dr. Cao was awarded the outstanding undergraduate experimental teaching prize in Liaoning University in 2018, the Teaching Achievement Prizes at the undergraduate course of University education in Liaoning Province in 2018, an Academic Achievement Award of academic paper in Shenyang City in 2018, an Academic Achievement Award of academic paper in Liaoning Province in 2017, the Miyoshi student pacesetter of University of Chinese Academy of Sciences in 2015, the Director Scholarship Award in Institute of Physics, Chinese Academy of Sciences in 2014, Miyoshi student of University of Chinese Academy of Sciences in 2013, the Director Scholarship Award in Institute of Physics, Chinese Academy of Sciences in 2013, the Excellent Posted Report Award of Chinese Society of Physics Fall Academic Conference in 2013.
In 2019, he is awarded a scholarship under State Scholarship Fund to study in the United States of America as a Visiting Scholar from China Scholarship Council (CSC), and he has been appointed as a Visiting Associate Professor at the Department of Electrical Engineering in the School of Engineering, Stanford University.
His research fields are the electronic and optical properties of low-dimensional materials, such as zero-dimensional quantum dot (QD), two-dimensional graphene (GR), and hybrid QD-GR materials and optoelectronic devices. Recently, he is particularly interested in analyzing and understanding energy band coupling and intrinsic charge transfer, transition micro-mechanisms of hybrid low-dimensional materials and optoelectronic devices. -
Alexander Carsello
Ph.D. Student in Electrical Engineering, admitted Autumn 2017
BioAlex is currently a Ph.D. student in Electrical Engineering advised by Mark Horowitz and affiliated with the AHA! Agile Hardware Center. He is interested in reconfigurable computing, domain-specific architectures for image processing, and hardware design methodology. He is currently working within the AHA Agile Hardware Project on a next-generation CGRA (coarse-grained reconfigurable architecture) chip generator. Alex received a B.S. in Electrical and Computer Engineering from Washington University in St. Louis in 2017.
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Shubham Chandak
Ph.D. Student in Electrical Engineering, admitted Autumn 2016
Current Research and Scholarly InterestsInformation Theory, Genomic data compression, DNA storage
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E.J. Chichilnisky
John R. Adler Professor, Professor of Neurosurgery and of Ophthalmology and, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsFunctional circuitry of the retina and design of retinal prostheses
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Jun-Chau Chien
Research Engineer
BioJun-Chau Chien received the B.S. and M.S. degrees in Electrical Engineering from National Taiwan University in 2004 and 2006, respectively, and the Ph.D. degree in Electrical Engineering and Computer Sciences from University of California, Berkeley, in 2015. He is currently a post-doctoral research associate at Stanford University. He has held industrial positions at InvenSense, Xilinx, and HMicro working on mixed-signal integrated circuits for inertial sensors and wireline/wireless transceivers. He is broadly interested in innovative biotechnology for point-of-care diagnostics and medical imaging with emphasis on silicon-based approaches.
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Srabanti Chowdhury
Associate Professor of Electrical Engineering
Current Research and Scholarly InterestsWide bandap materials & devices for RF, Power and energy efficient electronics
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John Cioffi
Hitachi America Professor in the School of Engineering, Emeritus
BioJohn M. Cioffi taught Stanford's graduate electrical engineering course sequence in digital communications for over 20 years from 1986 to 2008, when he retired to emeritus. Cioffi's research interests were in the theory of transmitting the highest possible data rates on a number of different communications channels, many of which efforts were spun out of Stanford through he and/or his many former PhD students to companies, most notably including the basic designed used worldwide on more than 500 million DSL connections. Cioffi also over saw the prototype developments for the worlds first cable modem and digital-audio broadcast system. Cioffi pioneering the use of remote management algorithms to improve (over the internet or cloud) both wireline (DSL) and wireless (Wi-Fi) physical-layer transmission performance, an area often known as Dynamic Spectrum Management or Dynamic Line Management. Cioffi was co-inventer on basic patents for vectored DSL transmission and optimized MIMO wireless transmission. In his early career, Cioffi developed the worlds first full-duplex voiceband data modem while at Bell Laboratories, and the worlds first adaptively equalized disk read channel while at IBM. His courses and research projects over the years centered on these areas.
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Sigrid Close
Associate Professor of Aeronautics and Astronautics and, by courtesy, of Electrical Engineering
BioProf. Close's research involves space weather detection and modeling for improved spacecraft designs, and advanced signal processing and electromagnetic wave interactions with plasma for ground-to-satellite communication systems. These topics fall under the Space Situational Awareness (SSA) umbrella that include environmental remote sensing using satellite systems and ground-based radar. Her current efforts are the MEDUSSA (Meteoroid, Energetics, and Debris Understanding for Space Situational Awareness) program, which uses dust accelerators to understand the effects of hypervelocity particle impacts on spacecraft along with Particle-In-Cell simulations, and using ground-based radars to characterize the space debris and meteoroid population remotely. She also has active programs in hypersonic plasmas associated with re-entry vehicles.
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Daniel Norbert Congreve
Acting Assistant Professor, Electrical Engineering
BioDan Congreve received his B.S. and M.S. from Iowa State in 2011, working with Vik Dalal studying defect densities of nano-crystalline and amorphous silicon. He received his PhD from MIT in 2015, studying under Marc Baldo. His thesis work focused on photonic energy conversion using singlet fission and triplet fusion as a downconverting and upconverting process, respectively. He joined the Rowland Institute at Harvard University in August 2016, where his current research efforts focus on controlling light and energy at the nanoscale. He will start as an Assistant Professor of Electrical Engineering at Stanford in Fall 2020.
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William Dally
Professor (Research) of Computer Science and of Electrical Engineering
BioDally develops efficient hardware for demanding information processing problems and sustainable energy systems. His current projects include domain-specific accelerators for deep learning, bioinformatics, and SAT solving; redesigning memory systems for the data center; developing efficient methods for video perception; and developing efficient sustainable energy systems. His research involves demonstrating novel concepts with working systems. Previous systems include the MARS Hardware Accelerator, the Torus Routing Chip, the J-Machine, M-Machine, the Reliable Router, the Imagine signal and image processor, the Merrimac supercomputer, and the ELM embedded processor. His work on stream processing led to GPU computing. His group has pioneered techniques including fast capability-based addressing, processor coupling, virtual channel flow control, wormhole routing, link-level retry, message-driven processing, deadlock-free routing, pruning neural networks, and quantizing neural networks.
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Alwin Daus
Postdoctoral Research Fellow, Electrical Engineering
Current Research and Scholarly Interests- Transistors based on 2D materials and their implementation on flexible substrates.
- New device architectures for steep-slope switching and low-voltage operation. -
Beverly Davis
Administrative Associate, Electrical Engineering
Current Role at StanfordFaculty Administrator for Professors Subhasish Mitra and Krishna Shenoy
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Adam de la Zerda
Assistant Professor of Structural Biology and, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsMolecular imaging technologies for studying cancer biology in vivo
