School of Engineering
Showing 331-340 of 501 Results
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Tara Yasmin Mina
Postdoctoral Scholar, Aeronautics and Astronautics
BioTara Mina obtains her Ph.D. in Electrical Engineering at Stanford University. She received her Master of Science in Electrical and Computer Engineering from the University of Illinois at Urbana- Champaign in 2019 and her Bachelor of Science in Electrical Engineering from Iowa State University in 2017, with summa cum laude honors. For her doctoral thesis, Tara researches strategies to advance the next-generation Global Positioning System (GPS) signal capabilities. Her research focuses on secure, attack-resilient position, navigation, and timing as well as designing new spreading codes for the future GPS signals. She has also been involved with research for designing satellite-based navigation and timing to enable future lunar exploration missions.
As of August 2023, Tara has 22 research publications, including 7 published or accepted journal papers, and a coverpage magazine article. She has also won several awards for her graduate research, including the National Science Foundation (NSF) Graduate Research Fellowship, the National Defense Science and Engineering Graduate (NDSEG) Fellowship, the Amelia Earhart Fellowship, and 4 Best Presentation of the Session awards. Outside of her research work, Tara has won 2 student teaching awards, including the Centennial Teaching Assistant Award and the AIAA Best Course Assistant Award. She also currently serves as the co-president of Stanford’s Engineering Students for Diversity, Equity, and Inclusion (DEI), and has also won the Community Impact Award for her leadership, outreach, and volunteering efforts within the student group.
For the most up-to-date information, research work, and publications, please check out Tara's personal website: https://sites.google.com/view/tara-mina -
Lloyd B. Minor, MD
The Carl and Elizabeth Naumann Dean of the School of Medicine, Vice President for Medical Affairs, Stanford University, Professor of Otolaryngology - Head and Neck Surgery and Professor of Neurobiology and of Bioengineering, by courtesy
Current Research and Scholarly InterestsThrough neurophysiological investigations of eye movements and neuronal pathways, Dr. Minor has identified adaptive mechanisms responsible for compensation to vestibular injury in a model system for studies of motor learning. Following his discovery of superior canal dehiscence, he published a description of the disorder’s clinical manifestations and related its cause to an opening in the bone covering of the superior canal. He subsequently developed a surgical procedure to correct the problem.
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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.
