Deepak Ganesan

Deepak Ganesan is a Professor at the Manning College of Information and Computer Sciences (CICS) at the University of Massachusetts Amherst. His research focuses on low-power sensing and communication, networked systems, and machine learning applied to pervasive health monitoring and societal challenges.

• PhD, Computer Science, University of California, Los Angeles (2004)
• MS, Computer Science, University of California, Los Angeles (2000)
• BTech, Computer Science, Indian Institute of Technology, Madras (1998)

Ganesan's work bridges wireless sensor networks, smart textiles, and healthcare applications. He designs ultra-low-power wearable devices for tracking health signals like drug use, smoking, and cognitive performance, often integrating machine learning for robust detection. His research emphasizes societal impact, particularly in aging and Alzheimer's care through the Massachusetts AI and Technology Center for Connected Care (MassAITC) and the Center for Personalized Health Monitoring (CPHM).

Recent publications highlight innovations in edge-cloud collaboration, fabric-based sensors, and longitudinal health analytics. His NIH-funded MD2K Center for Excellence and affiliations with the Center for Data Science and Computational Social Science Institute further underscore his interdisciplinary approach.

• ACM Fellow
• NSF CAREER Award (2006)
• IBM Faculty Award (2008)
• UMass Junior Faculty Fellow (2008)
• UMass Lilly Teaching Fellow (2009)
• Best Paper at CHI 2013
• Best Paper Runner-up at Mobicom 2014
• Honorable Mentions at Ubicomp 2013

Ganesan leads the SENSORS: Wireless Sensor Networks Group and contributes to global initiatives like the Internet of Battlefield Things. His work spans academic research, industry partnerships, and policy development in AgeTech and digital health.