School of Engineering
Showing 1,601-1,700 of 2,957 Results
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Zahra Mazlaghani
Ph.D. Student in Civil and Environmental Engineering, admitted Winter 2023
Masters Student in Civil and Environmental Engineering, admitted Autumn 2023Current Research and Scholarly InterestsI work on advanced numerical methods that harness the massive parallelism of GPUs, i.e., real-time computer chips originally developed for graphics rendering, to overcome computational bottlenecks in structural simulations, specifically in the real-time hybrid simulation (RTHS) of tall buildings in order to enable more realistic and faster simulations. I use graphics processors, for the first time, to accelerate RTHS to enable higher-fidelity "on-the-fly" simulation of civil structures.
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Matthew McCready
Ph.D. Student in Electrical Engineering, admitted Autumn 2021
BioI am a 1st year PhD Student in Electrical Engineering at Stanford, with a M.Sc in Physics from The University of Western Ontario. I have over 4 years of research experience across various projects in medical and condensed matter physics. My interests focus on the design and development of tools that improve quality of life through the application of physics.
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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).