Stanford University
Showing 101-200 of 6,687 Results
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Muhammad Ahmed Mohsin
Ph.D. Student in Electrical Engineering, admitted Winter 2025
Masters Student in Electrical Engineering, admitted Winter 2026BioI am a Ph.D. student @ Stanford advised by Dr. John Cioffi. I completed my undergraduate from NUST, Pakistan (2024). My research domain incorporates areas of Machine Learning, Reinforcement Learning and Wireless Communications.
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Geun Ho Ahn
Postdoctoral Scholar, Electrical Engineering
BioI am a postdoctoral researcher at Stanford University, specializing in integrated photonics, material sciences, and computational optimization to develop innovative photonic-electronic systems for optical interconnects, metrology, and quantum science.
I earned my Ph.D. in Electrical Engineering from Stanford University, where I worked with Professor Jelena Vuckovic as a SGF fellow and FMA fellow on integrated photonics system through heterogeneous integration and photonic inverse design. -
Alex Aiken
Alcatel-Lucent Professor of Communications and Networking, Professor of Particle Physics and Astrophysics, and of Photon Science
BioAlex Aiken is the Alcatel-Lucent Professor of Computer Science at Stanford. Alex received his Bachelors degree in Computer Science and Music from Bowling Green State University in 1983 and his Ph.D. from Cornell University in 1988. Alex was a Research Staff Member at the IBM Almaden Research Center (1988-1993) and a Professor in the EECS department at UC Berkeley (1993-2003) before joining the Stanford faculty in 2003. His research interest is in areas related to programming languages.
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Izoduwa Aimiuwu
Ph.D. Student in Chemical Engineering, admitted Autumn 2023
Masters Student in Chemical Engineering, admitted Winter 2026BioI am a member of Dr. Jagjit Nanda's battery lab at the SLAC-Stanford Battery Center. My research primarily focuses on electrochemical performance of DRX-based lithium-ion batteries by optimizing slurry processing techniques for large-scale applications.
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Raag Airan
Associate Professor of Radiology (Neuroimaging and Neurointervention) and, by courtesy, of Materials Science & Engineering and of Psychiatry and Behavioral Sciences
Current Research and Scholarly InterestsOur goal is to develop and clinically implement new technologies for high-precision and noninvasive intervention upon the nervous system. Every few millimeters of the brain is functionally distinct, and different parts of the brain may have counteracting responses to therapy. To better match our therapies to neuroscience, we develop techniques that allow intervention upon only the right part of the nervous system at the right time, using technologies like focused ultrasound and nanotechnology.
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Mahdi Al-Husseini
Ph.D. Student in Aeronautics and Astronautics, admitted Summer 2025
BioActive-duty captain and HH-60M pilot in command in the US Army, licensed professional engineer, registered patent agent, and aeronautics PhD student at Stanford University (SISL). 30+ patents and patent applications. I research multiagent system models and algorithms to improve medical evacuation, search and rescue, and wildfire surveillance and suppression operations.
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Shray Alag
Masters Student in Computer Science, admitted Autumn 2022
BioClass of 2025, Computer Science/Computational Biology
Research Publications:
Alag S (2020) Unique insights from ClinicalTrials.gov by mining protein mutations and RSids in addition to applying the Human Phenotype Ontology. PLoS ONE 15(5): e0233438. https://doi.org/10.1371/journal.pone.0233438.
Alag S (2020) Analysis of COVID-19 clinical trials: A data-driven, ontology-based, and natural language processing approach. PLoS ONE 15(9): e0239694. https://doi.org/10.1371/journal.pone.0239694.
Alag, Shray. 2020, July 31. Extracting Unique Insights by Mining Single Nucleotide Polymorphisms from ClinicalTrials.gov and Applying the Human Phenotype Ontology [Presenter]. Society for Clinical Trials.
Proficient in Python, Java, Bash, Octave, Mathlab. -
Asrar Alam
Visiting Postdoctoral Scholar, Geballe Laboratory for Advanced Materials
Affiliate, Program-Salleo, A.BioI am a dynamic and internationally experienced individual with over 7 years of diverse research experience in electronics & communication, printed electronics and nanoscience and technology.
I graduated with a PhD degree at Department of Flexible and Printable Electronics, Jeonbuk National University, Jeonju, Republic of Korea. During my PhD I worked for the development of of Electrode Materials for Supercapacitor, sensor and Electrochromic Devices".
Specialized in various nanomaterials synthesis techniques such as hydrothermal, room temperature synthesis, solvothermal, electrodeposition and ultrasonication. Furthermore, have extensive hands-on experience on operation of XRD, FESEM and electrochemical workstation.
My skill set extends beyond the laboratory, encompassing adeptness in strategic planning, impactful presentations and scientific writing.
Presently, I contribute my expertise as an industrial postdoctoral researcher at KTH Royal Institute of Technology and Mycronic, Sweden.
My job is to focus microfabrication technology utilizing AJA evaporator, MLA-150, photolithography and reactive ion etching. Currently, I fabricated my electrochemical transistor with 1.25, 2.5, 5 and 10 micrometer channel length. I am also enjoying the facilities provided by Stanford University for neuromorphic characterizations.
I am eagerly seeking fresh opportunities within the realms of R&D and academia.
Email: asrarlm0@gmail.com, asral@kth.se, asrar.alam@mycronic.com, asrarlm@stanford.edu -
Heba Alazzeh
Affiliate, Aeronautics and Astronautics
BioResearch @ Stanford Intelligent Systems Laboratory & Stanford Mineral-X
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Anas Alharbi
Masters Student in Civil and Environmental Engineering, admitted Autumn 2025
BioI’m a graduate international student in the Civil and Environmental Engineering (Atmosphere/Energy) program at Stanford University, with a background in Chemical Engineering. My interests sit at the intersection of sustainability, energy systems, and data-driven decision-making.
In my professional career, I have managed projects that required both technical depth and business judgment. My work often involves data analysis to evaluate projects from technical and financial perspectives and turn results into clear recommendations for decision-makers.
I also hold an MBA and I’m a CFA Charterholder. I’m especially interested in decarbonization strategy, environmental performance, and energy/climate finance.
Outside of class, I enjoy all kinds of physical activities, even though I’m still a beginner. -
Youssef Allouah
Postdoctoral Scholar, Computer Science
BioYoussef Allouah is a postdoctoral scholar at Stanford University. He is working with Prof. Sanmi Koyejo at the Computer Science department. His research interests are broadly in the principles of trustworthy machine learning, specifically the theory and practice of privacy, robustness, and unlearning.
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Juan Alonso
Vance D. and Arlene C. Coffman Professor and the James and Anna Marie Spilker Chair of the Department of Aeronautics and Astronautics
BioProf. Alonso is the founder and director of the Aerospace Design Laboratory (ADL) where he specializes in the development of high-fidelity computational design methodologies to enable the creation of realizable and efficient aerospace systems. Prof. Alonso’s research involves a large number of different manned and unmanned applications including transonic, supersonic, and hypersonic aircraft, helicopters, turbomachinery, and launch and re-entry vehicles. He is the author of over 200 technical publications on the topics of computational aircraft and spacecraft design, multi-disciplinary optimization, fundamental numerical methods, and high-performance parallel computing. Prof. Alonso is keenly interested in the development of an advanced curriculum for the training of future engineers and scientists and has participated actively in course-development activities in both the Aeronautics & Astronautics Department (particularly in the development of coursework for aircraft design, sustainable aviation, and UAS design and operation) and for the Institute for Computational and Mathematical Engineering (ICME) at Stanford University. He was a member of the team that currently holds the world speed record for human powered vehicles over water. A student team led by Prof. Alonso also holds the altitude record for an unmanned electric vehicle under 5 lbs of mass.
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Emily Alsentzer
Assistant Professor of Biomedical Data Science, of Medicine (Biomedical Informatics Research) and, by courtesy, of Computer Science
BioDr. Emily Alsentzer is an Assistant Professor in Biomedical Data Science and, by courtesy, Computer Science at Stanford University. Her research leverages machine learning (ML) and natural language processing (NLP) to augment clinical decision-making and broaden access to high quality healthcare. She focuses on integrating medical expertise into ML models to ensure responsible deployment in clinical workflows. Dr. Alsentzer completed a postdoctoral fellowship at Brigham and Women’s Hospital where she worked to deploy ML models within the Mass General Brigham healthcare system. She received her PhD from the Health Sciences and Technology program at MIT and Harvard Medical School and holds degrees in computer science (BS) and biomedical informatics (MS) from Stanford University. She has served as General Chair for the Machine Learning for Health Symposium and founding organizer for SAIL and the Conference on Health, Inference, and Learning (CHIL).
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Russ B. Altman
Kenneth Fong Professor and Professor of Bioengineering, of Genetics, of Medicine, of Biomedical Data Science, Senior Fellow at the Stanford Institute for Human-Centered AI and Professor, by courtesy, of Computer Science
Current Research and Scholarly InterestsI refer you to my web page for detailed list of interests, projects and publications. In addition to pressing the link here, you can search "Russ Altman" on http://www.google.com/
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Afshine Amidi
Affiliate, Institute for Computational and Mathematical Engineering (ICME)
BioTeaching CME 295: Transformers & Large Language Models (https://cme295.stanford.edu/) and CME 296: DIffusion & Large Vision Models.
