School of Engineering
Showing 1-10 of 21 Results
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Mohamed Elmoghany
Researcher, Computer Science
Staff, Program-Wu, J.BioMohamed has more than 10 years of research and industry experience. To breakthrough from industry to research, he interned in 2024 at KAUST Vision group supervised by Prof. Elhoseiny, where he published a paper at NeurIPS'25. After that, he joined Adobe Research as an intern where he published ICCV'25 paper. Currently, he is working with Prof. Jiajun on Robotics perception and learning. He is interested in the research areas that intersect with Embodied AI, Robot Learning, Robot percetion, Robot Manipulation, Image & Video Diffusion Generation, Image & Video Understanding. He is also interested in AI for healthcare.
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Barbara Elizabeth Engelhardt
Professor (Research) of Biomedical Data Science and, by courtesy, of Statistics and of Computer Science
BioBarbara E Engelhardt is a Senior Investigator at Gladstone Institutes and Professor at Stanford University in the Department of Biomedical Data Science. She received her B.S. (Symbolic Systems) and M.S. (Computer Science) from Stanford University and her PhD from UC Berkeley (EECS) advised my Prof. Michael I Jordan. She was a postdoctoral fellow with Prof. Matthew Stephens at the University of Chicago. She was an Assistant Professor at Duke University from 2011-2014, and an Assistant, Associate, and then Full Professor at Princeton University in Computer Science from 2014-2022. She has worked at Jet Propulsion Labs, Google Research, 23andMe, and Genomics plc. In her career, she received an NSF GRFP, the Google Anita Borg Scholarship, the SMBE Walter M. Fitch Prize (2004), a Sloan Faculty Fellowship, an NSF CAREER, and the ISCB Overton Prize (2021). Her research is focused on developing and applying models for structured biomedical data that capture patterns in the data, predict results of interventions to the system, assist with decision-making support, and prioritize experiments for design and engineering of biological systems.
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Francis Engelmann
Postdoctoral Scholar, Computer Science
BioFrancis Engelmann is a PostDoc at Stanford university with Prof. Leonidas Guibas and Prof. Jeannette Bogh. Before that, he was a postdoctoral researcher at ETH Zurich collaborating with Prof. Marc Pollefeys and a visiting researcher at Google Zurich working with Federico Tombari. His current research focuses on computer vision and deep learning, particularly in the realm of 3D scene understanding. Prior to joining ETH Zurich, he obtained his Ph.D. from RWTH Aachen University under the guidance of Prof. Bastian Leibe, and interned at Google X in Munich, Google Research in Zurich, and Apple in California. Francis is a Fellow of the ETH AI Center, a member of the ELLIS Society, and a recipient of ETHZ Career Seed Award and SNSF Postdoc.Mobility fellowship.
