Stanford University
Showing 711-720 of 2,248 Results
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Barry Behr, Ph.D., H.C.L.D.
Professor of Obstetrics and Gynecology (Reproductive Endocrinology and Infertility), Emeritus
Current Research and Scholarly InterestsDevelopment of improved embryo culture conditions in vitro. Blastocyst cultures. Embryo metabolism in vitro. Embryo maternal dialogue. Clinical application and integration of extended embryo culture systems. Monozygotic twinning. Prevention of multiple pregnancy. Sperm motility enhancers. Fluorescent and non-fluorescent markers of sperm morphology and viablility. Oocyte cryopreservation. Fertility preservation. Improving IVF outcome.
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Daniel E. Behrendt
Master of Liberal Arts Student, admitted Autumn 2021
BioDani Essindi Behrendt is an American global executive, entrepreneur and investor in the fields of auto tech, fintech, health tech and digital media.
He is known for his role in ETRE as editorial director where he chaired the leading tech global technology editors, his re-launching of Red Herring Magazine, the bible of tech, the creation of tripJane, the first engine using AI/NLP for travel, as well as developing an AR platform for the publishing industry, and his co-founding Honda’s Silicon Valley Open Innovation Lab where he created Android Automotive Alliance and AppleCarPlay. He is currently using his skill set set at Apple.
Dani holds five patents and and has a wide range of interest, including guiding European startups to enter the US market and helping people in African developing nations reach their goals.
Dani is a trained economist with a B.S. and M.S. in econometric modeling and holds an M.B.A. from the Kellogg School of Management at Northwestern University.
He is currently pursuing a Masters of Liberal Arts at Stanford University. -
Muzammil Behzad
Visiting Scholar, Dermatology
BioDr. Muzammil Behzad is a Visiting Assistant Professor of Artificial Intelligence at the Stanford Center for Digital Health (CDH), Stanford University, USA. He is mainly working as an Assistant Professor of AI in the Department of Information and Computer Science at King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia, where he is also affiliated with the SDAIA-KFUPM Joint Research Center for Artificial Intelligence (JRC-AI). Dr. Behzad is a Senior Member of IEEE and the founder and director of the BRAIN Lab, a research initiative focused on advancing the frontiers of artificial intelligence.
Dr. Behzad received his Ph.D. in Artificial Intelligence in 2022 from the University of Oulu, Finland, where he was also working as a scientific researcher at the Center for Machine Vision and Signal Analysis (CMVS). Prior to that, Dr. Behzad received his partially-funded B.S. degree (with distinctions: double medalist and valedictorian) and fully-funded M.S. degree, both in Electrical Engineering, from COMSATS University Islamabad (CUI), Pakistan and King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia, in 2013 and 2017, respectively. Dr. Behzad has held esteemed visiting research positions at globally recognized institutions, including King Abdullah University of Science and Technology (KAUST), Saudi Arabia, University College London (UCL), United Kingdom, and Brown University, United States. Prior to joining KFUPM, he worked as an AI Scientist at the renowned semiconductor company AMD where he contributed to research and development (R&D) of AI solutions for real-world problems. Prior to joining CMVS, he worked as a full-time Researcher at Pukyong National University (PKNU), South Korea, and as a Research Associate at CUI, Pakistan.
Dr. Behzad's research interests are in Machine and Deep Learning, Computer Vision, Multimodal AI, Large Language Models (LLMs), Vision-Language Models (VLMs), Representation Learning, Generative AI, Agentic AI, Affective Computing, Explainable AI, Human-Computer Interaction, and AI for Healthcare. His work focuses on developing next-generation intelligent systems that bridge vision, language, and reasoning to solve real-world challenges. He has also earned the international acclaim by winning the prestigious Three-Minute Ph.D. Thesis Competition at the IEEE International Conference on Image Processing (ICIP). Dr. Behzad also has actively served the research community as a reviewer for numerous reputed journals and conferences over the years including, IEEE Transactions on Multimedia, IEEE Transactions on Medical Imaging, Neurocomputing, Computer Vision and Image Understanding, IEEE Transactions on Geoscience and Remote Sensing, Biomedical Signal Processing and Control, Image and Vision Computing, IEEE Access, Nature Scientific Reports, Healthcare Analytics, Visual Computer, NeurIPS, ECCV, IEEE ICIP, IEEE FG, IEEE ICASSP, IEEE MSLP, ECAI, and AIIH. Dr. Behzad is an innovative AI consultant and leading expert in machine learning, deep learning, computer vision, and vision-language models. Dr. Behzad has played a key role in bridging academic innovation with industry applications. He is a long-standing member of several professional organizations, including the European Association for Artificial Intelligence (EurAI), Finnish Artificial Intelligence Society (FAIS), IEEE, European Telecommunications Standards Institute (ETSI), Society for Industrial and Applied Mathematics (SIAM), British Machine Vision Association (BMVA), and the European Alliance for Innovation (EAI).
Homepage: https://muzammilbehzad.com/
Email: muzammil.behzad@{gmail.com, kfupm.edu.sa} -
Sven Beiker
Lecturer, Graduate School of Business - Academic Administration
BioSven Beiker is a Lecturer in Management at the GSB, and the Managing Director of Silicon Valley Mobility, an independent consulting & advisory firm. He covers the electrification, automation, connectivity, and sharing of automobiles through the lens of new technologies and business models. This is reflected in his teaching at the GSB as well as in his professional engagements. Prior to his independent consulting work, he served as an Expert Consultant for mobility topics at McKinsey & Company for 2.5 years.
Dr. Beiker is also the former Executive Director of the Center for Automotive Research at Stanford, an industry affiliates program that he launched in 2008 together with Stanford Professors Gerdes, Nass, and Thrun. Before coming to Stanford, Dr. Beiker worked at the BMW Group for more than 13 years. Between 1995 and 2008 he pursued responsibilities in technology scouting, innovation management, systems design, and series development. He primarily applied his expertise to chassis and powertrain projects, which also provided him with profound insights into the industry’s processes and best practices. In addition, he worked in three major automotive and technology locations: Germany, Silicon Valley, and Detroit.
Dr. Beiker received his MS (1995) and PhD (1999) degrees in Mechanical Engineering from the Technical University in Braunschweig, Germany. He published various technical papers and holds several patents in the fields of vehicle dynamics and powertrain technology. -
Kim Beil
Lecturer, Immersion in the Arts: Living in Culture
BioKim Beil is an art historian who specializes in the history of photography. Her book, Good Pictures: A History of Popular Photography, looks at 50 stylistic trends in the medium since the 19th century. Recently she’s written for the New York Times about tracking down an Ansel Adams photograph in the High Sierra with a team of astronomers. She’s also written about photography and climate change for The Atlantic, a survey of street views for Cabinet, and a history of screenshots for the Believer. She also writes frequently about modern and contemporary art for Artforum, Art in America, BOMB, Photograph, and Sculpture magazines.
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Corinne Beinat
Assistant Professor of Radiology (Molecular Imaging Program at Stanford)
Current Research and Scholarly InterestsThe focus of my research is to develop novel imaging and treatment strategies to detect and better manage cancer. This approach relies first on the identification and validation of molecular targets and biomarkers that are linked with underlying the underlying biology driving the initiation and progression of cancers. We then develop novel small molecule based radiotracers to monitor fundamental molecular and cellular processes occurring in living subjects using positron emission tomography (PET) with the goal of improving cancer diagnosis and management. We additionally develop novel peptide based theragnostic agents for stratification of patients with high receptor expression, treatment with targeted radionuclide therapy, and subsequent monitoring of treatment response. Our overall goal is to develop multiple clinically translatable strategies to improve cancer diagnosis, management, and outcomes.
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Isabela Beine
Ph.D. Student in Energy Science and Engineering, admitted Spring 2026
Masters Student in Energy Science and Engineering, admitted Autumn 2024BioResearching hydrogen storage in porous media. Interest in energy storage solutions for renewable energy sources.
