School of Engineering
Showing 1-24 of 24 Results
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Suresh Nambi
Course Asst-Graduate, Electrical Engineering - Student Services
BioI am an AI/ML Compute Architect specializing in cross-stack optimization for LLMs and deep learning systems. Currently I am focused on datacenter-scale performance from application analysis to hardware design :
- Full-stack workload analysis and optimization from model architecture to writing hardware kernels
- Multi-Node Performance Simulation, Roofline modeling and architecture-specific optimizations
- Achieve efficiency at scale by delivering improvements in training/inference through novel microarchitectures
I am a master’s student pursuing MS EE (Software and Hardware Systems) at Stanford University. Before starting my MS, I worked at Nvidia as an ASIC Design Engineer in the GPU Hardware Security team, where I contributed to the development of computer chips used in datacenters. Prior to that I worked at Ceremorphic a stealth startup on their first energy-efficient AI supercomputing test chip and gained insight into their heterogenous computing model.
I completed my undergraduate studies at BITS Pilani, India. During this period, I was associated with Prof. Akash Kumar at the Chair for Processor Design, TU Dresden for my year-long undergraduate thesis. I also had the opportunity to work under Prof. Gerd Grau during my MITACS Globalink Summer Internship. -
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
Visiting Postdoctoral Scholar, Electrical Engineering
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.
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Paul Nuyujukian
Assistant Professor of Bioengineering and of Neurosurgery and, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsOur group explores neuroengineering and its application to both basic and clinical neuroscience. Our goal is to develop brain-machine interfaces as a platform technology for a variety of brain-related medical conditions including stroke and epilepsy.
