Stanford University
Showing 1,151-1,200 of 2,376 Results
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Jayanta Bhattacharya
Professor of Health Policy, Emeritus
Current Research and Scholarly InterestsMy research focuses on the constraints that vulnerable populations face in making decisions that affect their health status, as well as the effects of government policies and programs designed to benefit vulnerable populations.
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Surjendu Bhattacharyya
Project Scientist, SLAC National Accelerator Laboratory
BioI am currently a Research Associate at SLAC’s LCLS SRD Chemical Science Department. My research focuses on time-resolved dynamics in the gas phase, with a particular interest employing novel experimental techniques to investigate the dynamics of molecules, radicals, and ions. These techniques include Coulomb explosion imaging, MeV electron diffraction (MeV-UED), X-ray scattering, X-ray absorption, and photoelectron spectroscopy. This work aims to improve the fundamental understanding of energy, environmental, biological, and atmospheric processes.
I am currently adapting a pyrolysis source to a time-of-flight spectrometer to perform time-resolved studies of radicals using UV, high harmonic generation (HHG), and X-rays. Additionally, I plan to integrate the pyrolysis setup with MeV-UED to investigate structural molecular dynamics through diffraction measurements. -
Achintya K. Bhowmik, PhD
Adjunct Professor, OHNS/Otology & Neurotology Division
BioDr. Achin Bhowmik serves on the faculty of Stanford University as an adjunct professor at the Stanford School of Medicine, where he advises research and lectures in the areas of sensory augmentation, computational perception, cognitive neuroscience, and intelligent systems. He is also an affiliate faculty member of the Stanford Institute for Human-Centered Artificial Intelligence, Wu Tsai Neurosciences Institute and Human Performance Alliance, and a mentor for the Stanford Institutes of Medicine Summer Research Program.
Dr. Bhowmik is the chief technology officer and executive vice president of engineering at Starkey Hearing Technologies, a privately-held medical devices company with over 5,000 employees and operations in over 100 countries worldwide. In this role, he is responsible for the company’s technology strategy, research and development, engineering and program management departments, and leading the drive to transform hearing aids into multifunction wearable health and communication devices with advanced sensors and artificial intelligence.
Previously, Dr. Bhowmik was the vice president and general manager of the Perceptual Computing Group at Intel Corporation, where he was responsible for the R&D, engineering, operations, and businesses in the areas of 3D sensing and interactive computing, computer vision and artificial intelligence, autonomous robots and drones, and immersive virtual and merged reality devices.
Dr. Bhowmik is a member of the Forbes Technology Council, board of trustees for the National Captioning Institute, board of directors for Mojo Vision and OpenCV, board of advisors for the Fung Institute for Engineering Leadership at the University of California, Berkeley, and industry advisory board for the Institute for Engineering in Medicine and Biomedical Engineering at the University of Minnesota. He is also on the board of advisors for several technology startup companies.
He has also held adjunct and guest professor positions at the University of California, Berkeley, Liquid Crystal Institute of the Kent State University, Kyung Hee University, Seoul, and the Indian Institute of Technology, Gandhinagar. He received his Bachelor of Technology from the Indian Institute of Technology, Kanpur, PhD from Auburn University, and attended the Executive Program at Stanford University. He has authored over 200 publications, including two books and over 80 granted patents.
His awards and honors include Fellow of the Institute of Electrical and Electronics Engineers (IEEE), President and Fellow of the Society for Information Display (SID), Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA), Artificial Intelligence Excellence award by the Business Intelligence Group, Gold Globee award for “Most Innovative Person of the Year in Healthcare”, Top 25 Healthcare Technology CTOs by the Healthcare Technology Report, Notable Leaders in Healthcare by Twin Cities Business, Healthcare Heroes award by the Business Journals, Industrial Distinguished Leader award from the Asia-Pacific Signal and Information Processing Association, TIME’s Best Inventions, and the Red Dot Design award.
Dr. Bhowmik and his work have been covered in numerous press articles, including TIME, Fortune, Wired, USA Today, US News & World Reports, Wall Street Journal, CBS News, BBC, Forbes, Bloomberg Businessweek, Scientific American, Popular Mechanics, MIT Technology Review, EE Times, The Verge, etc. -
Rohan Tan Bhowmik
Undergraduate, Electrical Engineering
BioI am an undergraduate student at Stanford University studying Computer Science and Electrical Engineering with an emphasis on artificial intelligence. I am constantly seeking to learn and develop new machine-learning techniques and build applications based on them, especially in the areas of health, environment, and human-computer interaction. I’m especially interested in brain-inspired computing for energy-efficient systems.
As a software engineering intern at AMD AI Group since June 2024, I’ve gained expertise in machine learning compilers and optimized model performance across diverse hardware architectures. I unified AI/ML model implementations for high-performance computing on CPUs, GPUs, and AI accelerators. I also developed masked and causal attention modules on Torch-MLIR and IREE, enabling models like LLaMa and Stable Diffusion on the AMD stack.
My other recent projects include the development of 1) a wildfire prediction method by analyzing trends in environmental, meteorological, and geological data with an aim to mitigate the impact of California’s devastating wildfire seasons, 2) a respiratory disease exacerbation prediction system based on a novel spatio-temporal artificial intelligence algorithm and local environmental sensor network, 3) a machine learning technique for automating patient facial condition assessment and surgery planning, 4) blood alcohol level estimation using infrared imaging and deep neural networks, and 5) a novel image recognition framework utilizing a quantum optical convolutional neural network.
I have published papers based on my research in peer-reviewed journals, including the Journal of Environmental Management, IEEE Access, Electronics, and Facial Plastic Surgery & Aesthetic Medicine. I have won top national awards in the USA Physics, Astronomy & Astrophysics, Junior Math, Computing, and Biology Olympiads and was named Regeneron STS Top 300 Finalist in 2023.
Outside of academics, I play clarinet, tennis, and volunteer with organizations to help sensory-deficient individuals, including the Baker Institute for Children with Hearing Loss, Starkey Hearing Foundation, and VocaliD. -
Nidhi Bhutani
Associate Professor of Orthopaedic Surgery
Current Research and Scholarly InterestsThe long-term goal of our research is to understand the fundamental mechanisms that govern and reprogram cellular fate during development, regeneration and disease.
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Vinod (Vinny) K. Bhutani
Professor of Pediatrics (Neonatology) at the Lucile Salter Packard Children's Hospital, Emeritus
Current Research and Scholarly InterestsNeonatology; newborn jaundice, bilirubin biology and kernicterus prevention; pulmonary physiology, pulmonary functions and neonatal ventilation. To promote newborn screening for G6PD deficiency in USA.
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Y. Katherine Bianco
Clinical Professor, Obstetrics & Gynecology - Maternal Fetal Medicine
BioMy clinical interest in pregnancies complicated with birth defects has led my underlying research interests in genomic abnormalities in the human trophoblast carrying to faulty placentation. The latter began with initial work during K12 and KO8 funding. I took a great interest in the human placenta as it carries potential advantages over other tissues sources: first, this highly metabolically active organ is the potential source of many transcripts. Second, the placenta forms at a very early stage of embryonic development, potentially allowing detection of primary alterations as compared to secondary changes that may mask the underlying causal phenomena. Finally, studying early placentation may provide targets for development of novel molecular approaches, such as up-regulate or down-regulate genes, the protein products of which could potentially serve as molecular surrogates for diagnosis and treatment of pregnancy complication such as miscarriages, pre-eclampsia, pregnancy induced hypertension and intrauterine growth retardation. This work has led to the first Trisomy 21, Trisomy 18, trisomy 13 cell lines established from human placentas making it possible to apply gene editing in the early stages of human trophoblast development.
As my primary clinical responsibility involves treating patients needing medical care and support through their high risk pregnancies, I am interested in factors that may impact outcomes, such as prenatal screening and diagnosis, maternal heart conditions, labor and delivery management, and safety approaches for the second stage of labor. In investigating length of labor and approaches to shorten the second stage, I have found methods of improving perinatal outcomes in diverse maternal populations.
With regards to my interest in fetal medicine, I have worked in collaboration with other specialists such as radiologists and pediatric cardiologists utilizing imagining studies to assess and determine successful perinatal care and fetal survival. -
Ignacio Bianco Perez
Graduate, Medicine, School of Medicine
BioI am a Venezuelan medical student at the University of Bologna with a developing interest in oncology and academic medicine. My work has included oncology-focused literature synthesis and retrospective clinical research, while my clinical experiences have shown me how much strong cancer care depends on preparation, multidisciplinary judgment, and thoughtful follow-through. Training across different academic settings has made me adaptable, attentive, and comfortable contributing wherever I can add value. I hope to build a career that brings together patient care, research, and teaching.
