Stanford University
Showing 8,061-8,070 of 35,020 Results
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Abbas El Gamal
Hitachi America Professor in the School of Engineering and Senior Fellow at the Precourt Institute for Energy
BioAbbas El Gamal is the Hitachi America Professor in the School of Engineering and Professor in the Department of Electrical Engineering at Stanford University. He received his B.Sc. Honors degree from Cairo University in 1972, and his M.S. in Statistics and Ph.D. in Electrical Engineering both from Stanford University in 1977 and 1978, respectively. From 1978 to 1980, he was an Assistant Professor of Electrical Engineering at USC. From 2003 to 2012, he was the Director of the Information Systems Laboratory at Stanford University. From 2012 to 2017 he was Chair of the Department of Electrical Engineering at Stanford University. His research contributions have been in network information theory, FPGAs, and digital imaging devices and systems. He has authored or coauthored over 230 papers and holds 35 patents in these areas. He is coauthor of the book Network Information Theory (Cambridge Press 2011). He has received several honors and awards for his research contributions, including the 2016 Richard W. Hamming Medal, the 2012 Claude E. Shannon Award, and the 2004 INFOCOM Paper Award. He is a member of the U.S. National Academy of Engineering and a Fellow of the IEEE. He has co-founded and served on the board of directors and advisory boards of several semiconductor and biotechnology startup companies.
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Lama El Halabi
Ph.D. Student in Energy Science and Engineering, admitted Spring 2022
BioI am a PhD candidate in the Department of Energy Sciences and Engineering and a Data Science Scholar, advised by Adam Brandt. My research is driven by the crucial role renewable energy must play in sustainably meeting our energy demands. The major challenge in transitioning to renewable energy lies in the intermittent and inherently uncertain nature of these energy sources. My current research focuses on predicting energy outputs from these stochastically behaving sources, with an emphasis on uncertainty quantification and volatility. Specifically, I employ computer vision models and statistical techniques to develop short-term probabilistic photovoltaic (PV) power forecasts from sky images and time-series PV data. I hold an MS in Energy Resources Engineering from Stanford and a BE in Mechanical Engineering and a BS in Physics from the American University of Beirut. Previously, my research involved using machine learning to model water resources.
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Vanessa El Kamari
Instructor, Medicine - Infectious Diseases
BioVanessa El Kamari, MD, is a physician-scientist in the Division of Infectious Diseases and Geographic Medicine at Stanford University and a member of the David Relman Laboratory. Her research investigates how host–microbe interactions in the small intestine regulate mucosal immunity, barrier integrity, and systemic inflammation in autoimmune and inflammatory diseases.
Her current studies use non-invasive sampling of the small intestine in conditions such as celiac disease, multiple sclerosis, and environmental enteropathy. She applies an integrative, multi-omic approach—combining microbiology, immunology, molecular biology, and computational biology—to define spatial immune–microbial networks along the human gut.
Before joining Stanford, Dr. El Kamari’s research focused on inflammation and immune activation in chronic HIV infection, where she identified gut barrier dysfunction as a key driver of systemic inflammation and cardiometabolic complications. She also led intervention studies targeting immune activation and endothelial dysfunction in HIV, work that laid the foundation for her current efforts to apply similar mechanistic approaches to autoimmune and inflammatory disorders. -
Yasser El-Sayed, Professor
Charles B. and Ann L. Johnson Professor in the School of Medicine and Professor, by courtesy, of Pediatrics (Neonatology) and of Surgery
Current Research and Scholarly InterestsHigh Risk Obstetrics: preterm labor, preeclampsia, medical and surgical complications of pregnancy, prenatal diagnosis and therapy
