Santosh Kumar Email & Phone Number

Memphis, Tn, Us

Memphis, Tn, Us

Memphis, Tennessee, Us

Received early promotion to full professor and awarded a state-endowed chair of excellence professorship for exceptional achievements. This included experience in leading large multidisciplinary federally-funded projects worth $50 million (from NSF, NIH, and IARPA) that involved 100 faculty, students, postdocs, and staff from CMU, Cornell, Dartmouth, Georgia Tech, Harvard, Johns Hopkins, NIDA IRP, Memphis, Michigan, Minnesota, Northwestern, Ohio State, Pittsburgh, UCLA, UCSF, UCSD, UMass Amherst, UPenn, Utah, and West Virginia, with expertise in Computer Science, Electrical Engineering, Mathematics, Psychology, Behavioral Science, Physiology, Public Health, Biochemistry, and Anthropology.Known in the research community for early and long-standing work in defining the area of mobile health (mHealth). My team developed computational models to detect stress, smoking, craving, brushing, flossing, cocaine use, and conversation from wearable sensors. Research regularly published in prestigious computing venues including ACM UbiComp, ACM CHI, ACM IPSN, and ACM SenSys) and are cited widely (at an average of 90 citations per article). Research also featured in local and national press. Regularly invited to give talks and keynote speeches at international conferences (in both computing and health research), at universities, and at federal agencies. The Popular Science magazine recognized my research work as a "Sensor Guru"​ as part of their profiling of America's Ten Most Brilliant Young scientists in 2010. In September 2013, was invited to give a talk at the White House on the future of biosensors. In 2014, became director of the NIH Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K). In 2015, named the first state endowed chair of excellence in computer science created by the state of Tennessee. In 2020, became the director of nation's first NIH biomedical technology resource center (BTRC) in mHealth called, the mDOT Center.

Memphis, Tennessee, Us

Received early tenure and promotion. Research focus shifted largely to the modeling of human behaviors from wearable wireless sensor data. Developed AI models to demonstrate the feasibility of detecting stress, smoking, and cocaine use from non-invasive wearable sensors in the day-to-day life of people. To expand the applicability of these models and to develop similar models for detecting other human health states and behaviors, assembled a team of over 20 faculty members in multiple disciplines from 13 universities to establish a new national center, called the Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K), funded by a $10.8 million grant from NIH. Chaired national meetings on defining the research agenda for the area of mobile health (mHealth), invited to speak on the future of biosensors at the White House and share my career story as a role model for aspiring investigators by NSF.

Memphis, Tennessee, Us

Continued the theory work in coverage from doctoral dissertation. Forged new collaboration with random graph theorists from Math (Paul Balister and Bela Bollobas) to develop new probabilistic methods for deriving "with high probability" guarantees in place of asymptotes so finite case behavior can be estimated. Next, defined a new concept of "trap coverage" to close the gap between percolation (when uncovered regions are finite) and full coverage (when no uncovered point exists) and explain the entire continuum. To make these works of direct practical utility, developed a theft-tracking device called AutoWitness that was covered by the Popular Science magazine.Initiated a new line of work (by forging collaboration with behavioral scientists, electrical engineers, biomedical engineers, and public health scientists) to develop wearable wireless sensors (called AutoSense) for the assessment of stress and addictive behaviors of people in their day-to-day life.Received three federal grants (two from NSF and one from NIH) worth $2.5 million in total as a PI in my first year of faculty career (in 2007). In 2009, recruited new computer science faculty collaborators from CMU, Georgia Tech, UCLA, and Amherst to receive a $2.7 million NSF grant as PI to develop computing models to detect health-related behaviors from wearable sensor data.

Memphis, Tennessee, Us

CuesHub is a high-tech startup developing wearable AI to help people live near the top end of their happiness potential by transforming the way they live, work, and interact with one another. To ensure that societal benefit is at the core of its mission, it was incorporated as a Delaware Public Benefit Corporation.

The mHealth Center for Discovery, Optimization & Translation of Temporally-Precise Interventions (mDOT) is NIH's first two national biomedical technology resource center (BTRC) in mHealth, together with the Mobilize Center at Stanford.The multidisciplinary mDOT team consists of leading researchers in artificial intelligence (AI), mobile computing, wearable sensors, privacy and precision medicine from the University of Memphis (lead), Harvard University, Georgia Institute of Technology, Ohio State University, the University of Massachusetts-Amherst, the University of California at Los Angeles (UCLA) and the University of California at San Francisco (UCSF).The mDOT Center is conducting cutting-edge AI research to produce easily deployable wearables, apps for wearables and smartphones and a companion cloud system. mDOT’s innovative technology will enable patients to initiate and sustain the healthy lifestyle choices necessary to prevent and/or successfully manage the growing burden of multiple chronic conditions.mDOT's goal is to empower scientists so they can discover, personalize and deliver temporally precise mHealth interventions and treatments, ensuring that health and wellness tools are delivered at the right moment, via the right personal device and is optimized to have the most influence.To ensure mDOT’s innovative technology can be used by scientists to solve real-world problems, mDOT will be working closely with more than a dozen other federally funded projects to engage in joint technology development, testing and large-scale real-life deployment. To fuel mHealth technology innovation in the industry, mDOT is establishing a new industry consortium to provide access to mDOT’s latest research and seek feedback to inform its ongoing research.

MD2K (https://md2k.org) was established as one of 11 national Big Data Centers of Excellence by the National Institutes of Health (NIH) as part of its Big Data-to-Knowledge (BD2K) initiative. MD2K brought together top brains in Computer Science, Engineering, Medicine, Behavioral Science, and Statistics drawn from Cornell Tech, Georgia Tech, Harvard, Memphis, Michigan, Northwestern, Ohio State, UCLA, UCSD, UCSF, UMass, Utah, and West Virginia.To obtain similar long-lasting research utility as biobanks in clinical trials, raw sensor data must be collected in mHealth studies so that data can be reprocessed in future to validate prior biomarkers and to obtain newer biomarkers. Doing so is, however, challenging due to high frequency, large volume, rapid variability, and battery life limitations.MD2K Center of Excellence has successfully developed and deployed open-source software (for both mobile phones and the cloud) that allow collection of high-frequency raw sensor data. The smartphone software called mCerebrum supports concurrent collection of streaming data from 8+ wearable sensors including: Microsoft Band, MotionSense, EasySense, AutoSense, and Oral-B smart toothbrushes. It supports high-frequency raw sensor data collection (at 800+ Hz for 70+ million samples/day), curation, analytics, storage (~2GB/day), and secure uploads to a cloud. mCerebrum continuously assesses data quality to quickly detect and fix any sensor detachment or sensor misplacements on the body. Data science research conducted by MD2K has resulted into 10 mHealth biomarkers - stress, smoking, craving, eating, lung congestion, heart motion, location, activity, driving, and drug use. Several of these biomarkers are computed in real-time on the phone to support biomarker-triggered Just-in-Time Adaptive Interventions (JITAI). Software, manuals, and training materials such as videos of mHealth lectures and webinars, as well as research articles are freely available at mhealth.md2k.org.

San Francisco, California, Us

To revolutionize neurological self-care, BioTrillion is developing a new smartphone-based, easy-to-use digital biomarker.

Helped establish npj Digital Medicine as a premier publication journal for publishing research in digital health as a founding Associate Editor, overseeing manuscripts using AI to advance health and medicine.

ASSIST is an NSF-funded nano engineering research center headquartered at North Carolina State University.

The Pediatric Research using Integrated Sensor Monitoring Systems (PRISMS) program funded projects to develop sensor-based, integrated health monitoring systems for measuring environmental, physiological, and behavioral factors in pediatric epidemiological studies of asthma, and eventually other chronic diseases

Columbus, Ohio, Us

Was awarded SBC Presidential Fellowship for doctoral dissertation. This award recognizes the best doctoral research across both Computer Science and Electrical Engineering departments at the Ohio State University. In my case, this award recognized my success in having papers accepted at the highly selective ACM MobiCom venue in 2004 and 2005, the first such instance for any graduate student at Ohio State.

Founded a high-tech startup with fellow graduate students from Computer Science and Fisher College of Business at The Ohio State University in my first year of Graduate School. OConnect had designed smart electro-optical switches (to make a mesh of core and edge switches) that were to be powered by a new optical routing algorithm I had developed for my M.S. Thesis. As founder and CEO, I led our team consisting of Nikhil Chandhok, Garrett Hunt, Vinodkrishnan Kulathumani, and Prasanna Jagannathan to win the first runner-up award at The Ohio State University's first Business Plan Competition. We recruited B. Thomas Smith (VP at PIRI, acquired by SDL, acquired by JDSU) and Paul Lambert (CTO of Worldcom and Board Member of Pinnacle Data Systems) as our two industry advisors. Gerry Moersdorf (Founder and CEO of Applied Innovation Inc., NASDAQ: AINN, acquired in 2007) invited us to present the OConnect technology for due diligence by their advanced technology team. At the business plan competition finals in Spring 2001, Rich Langdale (Founder of NCT Ventures) contributed $15k on the spot towards the runners-up award after hearing our team's pitch. Afterward, Nikhil, Garrett, and I continued working on securing customers for OConnect's switches in the second half of 2001. But, after the dot-com burst, the telecom market dramatically shrunk by the end of 2001. After a careful reassessment, we turned down seed funding offers and decided not to incorporate OConnect formally.

First job after B. Tech. via campus placement. Developed communications software deployed in PBX (Private Branch Exchange that businesses use for call management) for accounting and billing from call records. Our software was used by Siemens customers in South Africa, Central America, and North America. In addition to identifying and fixing long-standing errors in the billing software, volunteered to improve the load test of the entire PBX software. To improve understanding of computer networks among the employees, started a new lecture series in the company. To improve employee engagement, co-organized annual cricket tournaments, and started a new annual sports day for the entire staff at Sree Kaanteerava Stadium.

Ph.D., Computer Science And Engineering

M.S., Computer And Information Science

B. Tech, Computer Science And Engineering