School of Engineering
Showing 1-100 of 208 Results
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Geun Ho Ahn
Ph.D. Student in Electrical Engineering, admitted Autumn 2018
Masters Student in Electrical Engineering, admitted Autumn 2020BioI am a PhD candidate in Electrical Engineering working at Professor Jelena Vuckovic's Nanoscale Quantum Photonics Laboratory. My research interests are computational optimizations of photonic devices and quantum technologies made from nanoscale fabrications.
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Rehman Ali
Ph.D. Student in Electrical Engineering, admitted Autumn 2017
BioRehman 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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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. -
Nikhil Bhagdikar
Ph.D. Student in Electrical Engineering, admitted Autumn 2014
BioEase of implementation and energy efficiency are critical for modern digital ICs. I am researching techniques to improve energy efficiency without compromising on performance or silicon area, especially for CGRA.
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Iliana Erteza Bray
Ph.D. Student in Electrical Engineering, admitted Autumn 2017
Masters Student in Electrical Engineering, admitted Winter 2018BioIliana is a fourth year Ph.D. candidate in Electrical Engineering. She received her BS in Electrical Engineering with honors from Stanford in 2017 and was awarded the Firestone Medal for Excellence in Undergraduate Research for her honors thesis. She is an NSF GRFP fellowship recipient (2017).
Iliana's long-term research interests involve combining electrical engineering and neuroscience to further our understanding of motor control and one day incorporate this new knowledge into improved brain-computer interfaces or enhanced rehabilitation for clinical populations with compromised mobility. -
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 InterestsDNA storage, genomic data compression, information theory, machine learning
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Riley Culberg
Ph.D. Student in Electrical Engineering, admitted Autumn 2019
BioMy research focuses on resolving the near-surface and internal structure of the continental ice sheets in Greenland and Antarctica using airborne ice penetrating radar systems. I am particularly interested in understanding the coupling between firn structure and near-surface hydrology in Greenland, the evolution of this system in a warming climate, and its influence on the large scale ice sheet mass balance and hydrology. Additionally, I am interested in deep englacial structure as a reflection of past climate processes and ice sheet age structure. My approach to these questions involves the synthesis of electromagnetic theory, radar signal and system constraints, and in-situ observations to develop both forward and inverse methods that link physical conditions of interest within the ice sheets to their expression in radar sounding data. Applying these tools to the analysis of radar sounding data allows me to place observational constraints on state of the englacial system at scales and resolutions that bridge the gap between field measurements and numerical models. In addition, I have applied some of these same techniques to study the optimal system design parameters for future high altitude or satellite-based radar systems.
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Aidan James Fitzpatrick
Ph.D. Student in Electrical Engineering, admitted Autumn 2018
BioAIDAN FITZPATRICK received the B.S. degree in electrical and computer engineering from the University of Massachusetts Amherst, in 2018, and the M.S. degree in electrical engineering from Stanford University in 2020, where he is currently pursuing the Ph.D. degree in electrical engineering.
His current research interests are in computational imaging - specifically at the intersection of electromagnetics, acoustics, and signal processing for the codesign of imaging algorithms and system hardware for non-contact thermoacoustic/photoacoustic, and millimeter wave applications. -
Sneha Goenka
Ph.D. Student in Electrical Engineering, admitted Autumn 2017
BioSneha D. Goenka is a PhD candidate in the Department of Electrical Engineering at Stanford University where she is advised by Prof. Mark Horowitz. Her current research interests lie at the intersection of computer architecture and computational genomics. She has a B.Tech and M.Tech (Microelectronics) in Electrical Engineering from Indian Institute of Technology, Bombay.
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Steven Herbst
Ph.D. Student in Electrical Engineering, admitted Autumn 2016
BioSteven Herbst is working to speed up the chip design process through research in FPGA emulation of mixed-signal circuits. Current work includes an open-source framework for emulating chip designs, a Python-based generator that produces synthesizable models of analog/mixed-signal blocks, and a SystemVerilog library for conveniently working with fixed-point numbers. Previous research includes methods to accelerate emulations of high-speed link designs. Prior to starting the PhD program at Stanford, he was an engineer at Apple (2013-2016) and Intersil (2011-2013). Steven holds B.S. and M.Eng. degrees in EE from MIT (2010, 2011).
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Sarah Hooper
Ph.D. Student in Electrical Engineering, admitted Autumn 2017
Current Research and Scholarly InterestsMedical and molecular imaging, machine learning to improve healthcare
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Asir Intisar Khan
Ph.D. Student in Electrical Engineering, admitted Autumn 2018
Grader for EE223, Electrical Engineering - Student ServicesCurrent Research and Scholarly InterestsMy research focuses on the thermal engineering, fabrication, and characterization of novel phase change heterostructures (PCH) for high density, low-power data storage both on the flexible and non-flexible platform. My research further expands into the fabrication and characterization of PCH for thermoelectrics and low-power solid-state flexible reflective display. I am also working on the real-time characterization of fast temperature sensors using atomically thin two-dimensional materials.
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Sungjin Kim
Ph.D. Student in Electrical Engineering, admitted Autumn 2016
BioSung-Jin received his B.S. and M.S. in Electrical Engineering from KAIST in 2008 and 2010 respectively, and he is currently a Ph.D. student in Electrical Engineering at Stanford University. Prior to starting the PhD program, he worked for Samsung Electonics from 2010 to 2016. He is interested in synthesizable analog circuits and automated design flow for high speed serial links(SerDes). He is currently working for the Open Source Phy project.
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Taeyoung Kong
Ph.D. Student in Electrical Engineering, admitted Autumn 2017
BioTaeyoung is a Ph.D. student at Stanford University working with prof. Mark Horowitz in VLSI group and he is currently working within the AHA Agile Hardware Project. He is interested in hardware accelerator for deep learning / image processing and hardware design methodology. Taeyoung received a B.S. in Electrical and Computer Engineering from Seoul National University in 2017, and M.S. in Electrical Engineering from Stanford University in 2020.
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Anand Vikas Lalwani
Ph.D. Student in Electrical Engineering, admitted Autumn 2018
Masters Student in Electrical Engineering, admitted Spring 2020BioAnand is a Graduate Student researcher in XLab (advisor: Debbie Senesky).
Anand's research work includes developing and deploying sensors for environmental and energy industries. Sensors developed include techniques for Hall Effect sensors to measure AC magnetic fields, deployable and low cost ammonia sensor for rivers and lakes, CO2 sensors for down-hole applications.
Anand's interests outside of research include startups and solving problems. Anand is committed to developing technologies that tackle pressing issues and translating work form lab into a startup.
