Professor Venkatesh Saligrama (ECE) Appointed BU Data Science Faculty Fellow
The Data Science Faculty Fellows Program was created in 2017 by Provost Jean Morrison as a part of the BU Data Science Initiative, to help build on the University’s vision for research and education in this strategically important area. Candidates are selected through an evaluation of their current research portfolio, demonstrated contributions, a track record of interdisciplinary collaborations, and potential impact on data science at BU. The appointed fellow must be involved in a large collaborative endeavor that goes beyond their own research comfort zone. The Electrical and Computer Engineering department is proud to announce Professor Venkatesh Saligrama’s appointment as one of three fellows for 2019
Professor Saligrama’s work spans the wide spectrum of data-science theory and applications: understanding the societal impact of artificial intelligence, the role of language in computer vision learning for surveillance applications, big data concepts for neuroscience and healthcare, consolidated learning for resource-deprived scenarios, and unique methods for learning with limited or no supervision.
Professor Saligrama was recently elected as an IEEE Fellow for his pioneering contributions to distributed detection and estimation of structured signals. He is the incoming chair of the IEEE Signal Processing Society’s Big Data Special Interest Group. He has co-authored a paper that will appear in Nature Neuroscience with Professor Han (BU BME), and conducted research on resource-deprived foveation with Professor Sclaroff (BU CS), learning without supervision with Dr. Szepesvari (DeepMind), resource-efficient [KA3] machine learning problems with Dr. Jain (Microsoft), graph-scan statistics with Professor Orecchia (BU CS), and has ongoing work on bias/fairness issues with Professor Walker (BU Questrom), Professor Chang (UCLA) and Dr. Kalai (Microsoft).