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RECENT NEWS | ||
Publications: rConverse paper, accepted to ACM UbiComp 2018 (IMWUT), shows that speech can be detected from respiration with same accuracy as high-quality audio. Scientific Boards: NSF Engineering Research Center (ASSIST); NIH PRISMS Program; NIH Center for Technology and Behavioral Health (at Dartmouth). Grants: Fall'17: An R01 and an R24 were awarded by NIH; Summer'17: A $13.8 million project from IARPA called mPerf to monitor and predict work performance using mobile sensors; Fall'16: A $4 million project (called mProv) from NSF (2016-21) to develop a metadata cyberinfrastructure to facilitate sharing of mobile sensor data for third party research; Fall'14: A $10.8 million project (called MD2K) from NIH (2014-18) to develop mobile sensor big data methods and tools to advance mobile health (mHealth). Accolades: Holder of first Chair of Excellence in Computer Science (2015); Director of NIH Big Data Center of Excellence (2014); Distinguished Research Award (2013); Distinguished Research Award from College of Arts and Sciences (2012); Faudree Professorship (2011); Selected by the Popular Science magazine as one of America's "Brilliant Ten" young scientists in 2010. CV (12/2017)Recent Videos
Research SummaryOur current work (supported by NIH Center of Excellence for Mobile Sensor Data-to-Knowledge(MD2K)), several R01s and U01 from NIH, a contract from IARPA, and several grants from NSF seeks to define new frontiers in the newly emerging discipline of mobile health (mHealth). Our decade-long work has involved collecting mobile sensor data from 2,000+ human volunteers for 300,000+ hours in their natural environments as part of various scientific field studies. From these real-life sensor measurements, we have developed robust models to detect several important biomarkers from mobile sensor data. They incliude estimating stress and craving (from physiological sensor data), and detecting smoking (from smartwatch and respiration data), cocaine use (from heart rate data), and conversation (from respiration data). We are working on discovering patterns in time series of biomarkers to determine triggers for delivering just-in-time mobile interventions. See ACM UbiComp'14 work and ACM CHI'16 work. In addition, we have developed methods to ensure behavioral privacy. See ACM CHI'11 work and ACM UbiComp'16 work. Our research involves more than twenty faculty members from nineteen institutions (Cornell, Cornell Tech, Dartmouth, Georgia Tech, Harvard, Johns Hopkins, NIDA Intramural Research, Northwestern, Michigan, Ohio State, Rice, UCLA, UCSD, UCSF, UMass Amherst, UPenn, University of Minnesota, Utah, and West Virginia). Our collaborators span a variety of disciplines (e.g., Computer Science, Electrical Engineering, Mathematics, Statistics, Psychology, Behavioral Science, Cardiology, Physiology, Public Health, etc.), making our projects highly transdisciplinary. Our prior work led the foundation for coverage and
connectivity in wireless sensor networks.
We introduced two new models of coverage, Barrier
Coverage (for intrusion detection) and Trap
Coverage (for
scalable tracking with provable guarantees). With our esteemed
Mathematician
colleagues (Bela Bollobas and Paul Balister), we introduced an
analytical technique for deriving reliable
estimates
for probabilistic events, obviating the need to insist on large network
size to make probabilistic guarantess (as is traditionally done in
making "with high probability" claims). We applied this technique to
derive reliable estimates of density to achieve barrier
coverage, full coverage, connectivity,
and trap
coverage,
demonstrating its wide applicability. Our work on trap
coverage explained the entire continuum between percolation
and full coverage. In an earlier systems work, we developed the AutoWitness burglar tracking system to help law enforcement agencies in recovering stolen assets. AutoWitness can detect burglary without an explicit report from the owner, instantly notify law enforcement agency, and most importantly, provide real-time updates on the current location of assets while en-route, maximizing the chances of timely recovery. Selected Recent Publications (Citations: 4,500+)
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![]() Dr.
Santosh Kumar Lab Location: 222 Dunn Hall, Department of Computer Science, University of Memphis, Memphis, TN 38152 mHealt Systems Lab is looking
for naturally motivated Ph.D. students with extraordinary
ambitions, who would like to be recognized worldwide for their
exceptional research work. Be sure to read our research group's philosophy
before sending me an email. Post Doctoral FellowsDr. Moushumi Sharmin (2013-15) - Joined Western Washington University in Sep 2015 as Tenure-track Assistant Professor Dr. Andrew Raij (2009-10) - Joined University of South Florida in 2011 as Tenure-track Assistant Professor Dr. Karen Hovsepian
(2011-12) - Joined
Troy University as Tenure-track Assistant Professor AlumniHillol Sarker (Ph.D., 2016) - IBM Research Mahbubur Rahman (Ph.D., 2016) - Nokia Research Amin Ahsan Ali (Ph.D., 2014) - University of Dhaka (Asst. Prof.) Somnath Mitra (M.S., 2012) - PayPal Animikh Ghosh (M.S., 2010) - Infosys Labs, India Maheshbabu Satharla (M.S., 2010) Bhagavathy Krishna (M.S., 2009) - Apple Tim Henry (B.S., 2008) - Fedex, Memphis Ph.D. StudentsSyed Monowar Hussain (2010-) Nazir Saleheen (2013-) Rummana Bari (2013-) Soujanya Chaterjee (2014-) Md. Azim Ullah (2016-) M.S. StudentsNusrat Nasreen (2013-) Sayma Akhter (2015-) |
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