School of Engineering
Showing 1,651-1,700 of 2,957 Results
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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).
