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Deepak Ganesan is a professor in the Manning College of Information and Computer Sciences at the University of Massachusetts Amherst, Department of Computer Science. He received his Ph.D. in Computer Science from the University of California, Los Angeles in 2004, M.S. in Computer Science from the University of Southern California in 2000, and B.Tech. in Computer Science from the Indian Institute of Technology, Madras in 1998. Since fall 2004, he has been at UMass Amherst, directing the MOSAIC Research Group, the Center for Personalized Health Monitoring (CPHM), and the Massachusetts AI and Technology Center for Connected Care in Aging and Alzheimer's Disease (MassAITC), a multidisciplinary initiative involving UMass Amherst, Brigham and Women's Hospital, Massachusetts General Hospital, Brandeis University, and Northeastern University. He serves as a thrust lead on the NIH-funded MD2K Center of Excellence for Mobile Sensor Data to Knowledge and as a member of the executive committee of the Center for Personal Health Monitoring at UMass Amherst.
Ganesan's research is at the intersection of low-power sensing and communication, networked systems, and machine learning to enable pervasive sensing at scale for societal applications, with a focus on ultra-low power wireless communication, novel platforms and algorithms for mobile and wearable health sensing, and learning on multi-modal sensor data. His projects include smart textiles, smart eyeglasses, backscatter communication, and detection of health signals such as drug use, smoking, overeating, and eye movements using low-power eye trackers and textile sensors. He has received the ACM Fellowship in 2021, NSF CAREER Award in 2006, IBM Faculty Award in 2008, UMass Junior Faculty Fellow in 2008, UMass Lilly Teaching Fellow in 2009, Best Paper Award at CHI 2013, Best Paper Runner-up at MobiCom 2014, and two Honorable Mentions at Ubicomp 2013. Key publications include "EkhoNet: High Speed Ultra Low-power Backscatter" (MobiCom 2014), "Textile Sensor Arrays for Fine-grained Interaction Detection" (MobiSys 2022), "Low-latency Speculative Inference" (MobiSys 2021), "Polymorphic Radios: Active-Passive Radios for Ultra-low Power Communication" (SIGCOMM 2018), and "PRESTO: Feedback-Driven Data Management in Sensor Networks" (NSDI 2006). Ganesan has served as program co-chair for ACM SenSys 2010 and IEEE SECON 2013.
