School of Engineering
Showing 101-198 of 198 Results
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Yuchen Mei
Ph.D. Student in Electrical Engineering, admitted Autumn 2023
BioYuchen Mei is an EE M.S. 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. He is interested in digital VLSI design, domain-specific accelerators, and design automation.
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Jackson Melchert
Ph.D. Student in Electrical Engineering, admitted Autumn 2019
BioJackson is currently a Ph.D. student in Electrical Engineering advised by Priyanka Raina and affiliated with the AHA! Agile Hardware Center. He is interested in reconfigurable computing and domain-specific architectures for image processing and machine learning. Jack received a B.S. in Electrical and Computer Engineering and Computer Science from the University of Wisconsin - Madison in 2019.
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Lorelay Mendoza Grijalva
Ph.D. Student in Civil and Environmental Engineering, admitted Autumn 2019
Course Developer Assistant, Stanford Center for Professional DevelopmentBioLorelay is an environmental engineering PhD candidate working in the Tarpeh lab at Stanford University. Her research is centered around recovering valuable resources from wastewater and other pollution streams. She earned her undergraduate degree at San Diego State University, where her research focused on detecting river water contamination during storm events.
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Jarod Meyer
Ph.D. Student in Materials Science and Engineering, admitted Autumn 2020
BioJarod is a PhD Student working on the Molecular Beam Epitaxy of Pb-salt, narrow-bandgap semiconductors for mid-IR optoelectronics.
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Brando Miranda
Ph.D. Student in Computer Science, admitted Autumn 2022
BioBio
Brando Miranda is a current Ph.D. Student at Stanford University under the supervision of Professor Sanmi Koyejo in the department of Computer Science. Previously he has been a graduate student at University of Illinois Urbana-Champaign, Research Assistant at MIT’s Center for Brain Minds and Machines (CBMM), and graduate student at the Massachusetts Institute of Technology (MIT). Miranda’s research interests lie in the field of meta-learning, foundation models for theorem proving, and human & brain inspired Artificial Intelligence (AI). Miranda completed his Master of Engineering in Electrical Engineering and Computer Science under the supervision of Professor Tomaso Poggio – where he did research on Deep Learning Theory. Miranda has been the recipient of several awards, including Most Cited Paper Certificate awarded by International Journal of Automation & Computing (IJAC), two Honorable Mention with the Ford Foundation Fellowship, Computer Science Excellence Saburo Muroga Endowed Fellow, Stanford School of Engineering fellowship, and is currently an EDGE Scholar at Stanford University.
About me (Informal)
I am a scientist and an engineer that is interested in moving forward the powerful and beautiful field of A.I. closer to true Artificial General Intelligence (AGI). I believe an important direction is understanding how to combine cognitive and neuro-inspired models, specially investigating how reasoning and learning work together. In addition, I also believe being able to adapt to new tasks using prior experience and knowledge is crucial for AGI to occur. Consequently, I decided to pursue a Ph.D in AI and machine learning. I currently work on meta-learning and machine learning (ML) for Theorem Proving (TP) at Stanford University. -
Aadhityaa Mohanavelu
Ph.D. Student in Civil and Environmental Engineering, admitted Autumn 2023
BioAadhityaa Mohanavelu is a PhD student at Osman Lab, currently working on quantifying global water equity challenges and developing equitable water infrastructure systems. His research uses tools and techniques from diverse disciplines, including data-driven computational modeling, artificial intelligence, qualitative methodology, and sensor-based experiments, to better comprehend water problems and develop innovative solutions. He has a strong background in modeling hydro-climatic systems, studying resilient water infrastructures, and quantifying environmental contamination hazards. He loves music and enjoy traveling!
Aadhityaa is a holder of the 2023 Quad Fellowship (inaugural cohort). -
Robert Moss
Ph.D. Student in Computer Science, admitted Autumn 2021
BioRobert Moss is a computer science Ph.D. student at Stanford University studying algorithms to validate safety-critical autonomous systems. He holds an M.S. in computer science from Stanford where his research received the best computer science master’s thesis award and he also received the Centennial TA award for his teaching efforts. He earned his B.S. in computer science with a minor in physics from the Wentworth Institute of Technology in Boston, MA. Robert was an associate research staff member at MIT Lincoln Laboratory where he was on the team that designed, developed, and validated the next-generation aircraft collision avoidance system for commercial aircraft, unmanned vehicles, and rotorcraft. Robert was also a research engineer at the NASA Ames Research Center, developing decision support tools for the VIPER autonomous Lunar rover mission searching for water deposits on the Moon. Robert is a member of the Stanford Intelligent Systems Laboratory, the Stanford Center for Earth Resources Forecasting, and part of the Stanford Center for AI Safety conducting research on methods for high-dimensional planning under uncertainty using low-dimensional surrogate models, autonomous vehicle risk assessment, and efficient algorithms for safety validation.
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Amar Mukunda
Masters Student in Engineering, admitted Winter 2024
BioAmar Mukunda is a current Masters student in Civil and Environmental Engineering focused on renewable energy, infrastructure management, and biotechnology. Amar is also a Bloomberg fellow at Johns Hopkins University working on understanding gun violence and addiction in Baltimore City from a public health perspective. Amar's overall focus is developing strategies to meet America's 21st century energy and infrastructure needs while alleviating poverty and creating intergenertional wealth in the country's most deindustrialized places. Amar previously served as Assistant Director of Roca Baltimore, one of the city's premier work force development and gun violence prevention programs. From 2015-2016 he was a Fulbright Scholar researching artificial intelligence and machine learning in the field of natural language processing at Ecole Polytechnique in Lausanne, Switzerland. He graduated from Amherst College Magna Cum Laude in 2015 with majors in Computer Science and Geology.
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Ayinwi Muma
Ph.D. Student in Management Science and Engineering, admitted Summer 2017
BioAyinwi is a Ph.D. student in the Department of Management Science & Engineering at Stanford University.
Her research examines the emergence of new technological paradigms and evolution in work practices, routines, and capabilities of organizations.
