{"id":5580,"date":"2023-12-14T04:46:24","date_gmt":"2023-12-14T04:46:24","guid":{"rendered":"https:\/\/mdotcenter.org\/santosh\/?page_id=5580"},"modified":"2024-06-10T18:28:19","modified_gmt":"2024-06-10T18:28:19","slug":"teaching-presentations","status":"publish","type":"page","link":"https:\/\/mdotcenter.org\/santosh\/teaching-presentations\/","title":{"rendered":"Teaching &#038; Presentations"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"5580\" class=\"elementor elementor-5580\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8237d5a e-flex e-con-boxed e-con e-parent\" data-id=\"8237d5a\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-af28fbb e-con-full e-flex e-con e-child\" data-id=\"af28fbb\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8a1ad14 elementor-widget elementor-widget-iheading\" data-id=\"8a1ad14\" data-element_type=\"widget\" data-widget_type=\"iheading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"ot-heading\">\r\n\t        \t            <span>\/\/ Developing the Next Generation<\/span>\r\n\t        <h2 class=\"main-heading\">Teaching & Presentations<\/h2>\t    <\/div>\r\n\t    \t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-02da6fd elementor-widget elementor-widget-text-editor\" data-id=\"02da6fd\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.21.0 - 26-05-2024 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p>Dr. Kumar is not currently teaching any classes.<\/p><h4>Previous Classes<\/h4><p style=\"padding-left: 40px;\">\u2022\u00a0<strong>COMP 4270\/6270:<\/strong>\u00a0Introduction to Operating Systems (Spring 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007)<\/p><p style=\"padding-left: 40px;\">\u2022\u00a0<strong>COMP 7313:<\/strong>\u00a0Network Design and Performance Analysis (Fall 2009, 2008, 2007, 2006)<\/p><p style=\"padding-left: 40px;\">\u2022\u00a0<strong>COMP 3825:<\/strong>\u00a0Networking and Information Assurance (Spring 2007)<\/p><h4>\u00a0<\/h4><h4>Other Teaching &amp; Presentation Activities<\/h4><p style=\"padding-left: 40px;\">\u2022\u00a0<strong><a href=\"https:\/\/mhti.md2k.org\/\" target=\"_blank\" rel=\"noopener\">mHealth Training Institute<\/a>\u00a0at UCLA:\u00a0<\/strong>Organizing faculty, lecturer, and team mentor (2024, 2023, 2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015, 2014)<\/p><p style=\"padding-left: 40px;\">\u2022\u00a0<strong>MD2K Webinars:<\/strong><\/p><p style=\"padding-left: 80px;\"><a href=\"https:\/\/mhealth.md2k.org\/training\/webinars\/210-webinar-santosh-kumar-gary-clifford-on-mobile-health-analytics.html\">\u2022\u00a0Mobile Health Analytics: Addressing Disparities in the Southern United States<\/a>\u00a0(2016)<\/p><p style=\"padding-left: 80px;\"><a href=\"https:\/\/mhealth.md2k.org\/training\/webinars\/108-webinar-dr-santosh-kumar-on-md2k-s-puffmarker-model.html\">\u2022\u00a0puffMarker: A Multi-Sensor Approach for Pinpointing the Timing of First Lapse in Smoking Cessation<\/a>\u00a0(2016)<\/p><h5>\u00a0<\/h5><h4>Talks &amp; Presentations<\/h4><p>\u201c\u201d NSF Workshop on Crosscutting Research Needs for Digital Twins, 11\/12\/23.<\/p><p>\u201cClosing the Loop Using Imperfect mHealth Digital Biomarkers of Mental Health,\u201d IEEE BHI Special Session on Enabling Closed-Loop Technologies for Mental Health: Biobehavioral Sensor Informatics and Just-in-Time Interventions, 10\/15\/23.<\/p><p>\u201cWearable AI for Discovery, Optimization, and Deployment of Just-in-Time mHealth Interventions,\u201d <strong>Keynote Speech, <\/strong>Research &amp; Engagement Day, Kennesaw State University, 04\/13\/23.<\/p><p>\u201cAI Modeling Challenges in Detecting Self-Reported States from Wearables,\u201d UCLA Depression Grand Challenge, 03\/31\/23.<\/p><p>\u201cStress Monitoring and Intervention Using Wearables,\u201d National Association of Science Writers Conference, 10\/23\/22.<\/p><p>\u201cmHealth Risk Estimation from Wearable AI for Smoking Cessation,\u201d NSF-NIH Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science Workshop, 10\/6\/22.<\/p><p>\u201cChallenges and Opportunities in Trustworthy AI for Health and Wellness\u201d ACM SIGKDD Trustworthy AI Day, 08\/15\/22.<\/p><p>\u201cDetecting and Characterizing Stress in Daily Life,\u201d <strong>Keynote Speech<\/strong> at IEEE EMBC Workshop on Detection of Stress and Mental Health Using Wearable Sensors, 07\/11\/2022.<\/p><p>\u201cCan Sharing Anonymous Wrist-worn Accelerometry Data Re-identify You,\u201d EECS Department, University of California, Irvine, 06\/03\/2022.<\/p><p>\u201cCan Sharing Anonymous Wrist-worn Accelerometry Data Re-identify You,\u201d CSE Department, The Ohio State University, 04\/29\/2022.<\/p><p>\u201cPersuasive AI to Improve Health and Wellness,\u201d Indo-US Roundtable, 03\/24\/2022.<\/p><p>\u201cWearable AI for Designing, Optimizing, and Delivering Temporally-Precise mHealth Interventions,\u201d mHealth Special Session at International Conference on Network, Systems, and Security (NSySs\u201921), 12\/23\/2021.<\/p><p>\u201cDiscovery, Optimization, and Translation of Temporally-Precise mHealth Interventions,\u201d IEEE Digital Health Panel, 9\/7\/2021 (Host: Iqbal Ahamed)<\/p><p>\u201cSynergistic Collaboration Among Computing and Health Researchers,\u201d NIH Annual mHealth Training Institute, UCLA, 7\/30\/2021.<\/p><p>\u201cFrom Sensed Data to Digital Biomarkers \u2013 Lessons Learned,\u201d NIH Annual mHealth Training Institute, UCLA, 5\/24\/2021.<\/p><p>\u201cBreakout Session on Real-time Multimodal Data\u201d, NSF-NIH Workshop on Establishing the Roadmap for Security, Privacy, and Ethics Research in Health, 5\/14\/21, 5\/28\/2021, and 6\/11\/2021.<\/p><p>\u201cExperiences in Developing and Deploying ML Models from Wearables,\u201d Cyber Physical Health Systems Panel in IEEE CPS-IoT Week, 5\/18\/2021.<\/p><p>\u201cAI-Enabled Precision Healthcare via Wearable or Sharable Devices,\u201d Community Health and Preventive Care Panel, Vaibhav Summit, Government of India, 10\/24\/2020.<\/p><p>\u201cAI-Enabled Wearable Devices,\u201d Integration of AI in Medical Devices, Vaibhav Summit, Government of India, 10\/24\/2020.<\/p><p>\u201cIdentifying Location Micro-Patterns Conducive to Smoking from GPS and Activity Traces,\u201d NIH Workshop on Harnessing Novel Data Sources and Technologies for the Study of Social Determinants of Health (SDOH) in Heart, Lung, Blood, and Sleep (HLBS) Disorders, 09\/29\/2020.<\/p><p>\u201cSensitivity, Specificity, Generalizability, and Reusability Aspirations for Machine Learning (ML) Models in mHealth,\u201d <strong>Keynote Speech<\/strong>, International Workshop on Deep Learning for Wellness Applications Leveraging Mobile Devices and Edge Computing (HealthDL) at ACM MobiSys, 6\/16\/2020.<\/p><p>Panel on \u201cFuture Trends of Edge of Cloud-Assisted Mobile Healthcare,\u201d HealthDL Workshop at ACM MobiSys, 6\/16\/2020.<\/p><p>\u201cmContain: An App for Personal Tracking of Social Distancing,\u201d mPOWER meeting of NSF, NIH, and NIST program officers, 5\/28\/2020.<\/p><p>&#8220;Collection, Modeling, and Interpretation of Mobile Sensor Big Data,&#8221; IEEE Conference on Point of Care Technology (IEEE-POCT), NIH, Bethesda, 11\/21\/2019.<\/p><p>&#8220;MD2K Platforms for Computational Modeling of Health and Behavior from Wearable Sensor Data,&#8221; Generation AI Conference, CIFAR, Toronto, 10\/15\/2019.<\/p><p>&#8220;Building Computational Models to Infer Health and Behavior from Wearable Sensor Data,&#8221; 3M Corporation, Minneapolis, 10\/11\/2019.<\/p><p>&#8220;Collecting Emerging mHealth Biomarkers from Daily Life to Assess CVD Risk,&#8221; CARDIA Steering Committee, NHLBI Cohort from NIH, 2\/12\/2019.<\/p><p>\u201cTowards Sensor-assisted Stress Management,\u201d Cognitive Science Seminar, University of Memphis, 10\/31\/2018.<\/p><p>\u201cMobile Sensor Big Data Software Platforms from MD2K,\u201d mHealth Tech Showcase, NIH, 06\/04\/2018.<\/p><p>\u201cTemporally Dense Biomarkers of Daily Behaviors from Mobile Sensors,\u201d Brain Behavior Meeting by OBSSR, NIH, 04\/08\/2018.<\/p><p>\u201cA Historical Perspective on the Evolution of MD2K Center of Excellence,\u201d Grant Writing Course (in College of Education), University of Memphis, 1\/24\/2018.<\/p><p>\u201cDynamic Patient Re-stratification Using Mobile Sensors,\u201d Keynote Speech at Dagstuhl Seminar on Computational Challenges in Personalized Medicine, Dagstuhl, Germany, 11\/20\/2017.<\/p><p>\u201cMobile Sensor Big Data Challenges in Health, Wellness, and Productivity,\u201d University of Utah, 11\/06\/2017.<\/p><p>\u201cMobile Sensor Big Data Challenges in Monitoring and Improving Health, Wellness, and Performance,\u201d Keynote Speech at Affective Computing and Intelligent Interaction Workshop on Mental Health and Wellbeing, Pain, and Distress, 10\/23\/2017.<\/p><p>\u201cMobile Sensor Big Data Challenges in Monitoring and Improving Health, Wellness, and Performance,\u201d University of Iowa, 09\/28\/2017.<\/p><p>\u201cCollecting High-frequency Mobile Sensor Data for Long-lasting Research Utility,\u201d Science of Behavior Change Program (SOBC), NIH, 09\/25\/2017.<\/p><p>\u201cUtility of Collecting High-frequency Mobile Sensor Data in Health Research,\u201d Steering Committee meeting of the Multi-ethnic Study of Atherosclerosis (MESA), NHLBI, NIH, 9\/08\/2017.<\/p><p>\u201cMobile Sensor Data-to-Knowledge (MD2K): Lessons Learned on Data Collection, Modeling, and Validation,\u201d Health Data Exploration Summer Institute (HDESI), UC San Diego, 7\/19\/2017.<\/p><p>\u201cUsing Mobile Sensors to Self-Monitor and Improve Health, Wellness, and Performance,\u201d Keynote Speech at ACM MobiSys Workshop on Wearable Systems and Applications (WearSys), 6\/19\/2017.<\/p><p>\u201cEmerging Research Challenges \u2013 A Perspective from MD2K Center of Excellence,\u201d BDSouthHUB Workshop on Mobile Health, 5\/15\/2017.<\/p><p>\u201cHow Big Data on Your Body Can Improve Your Health, Wellness, and Performance,\u201d Plenary Lecture at the National Conference on Undergraduate Research, 4\/7\/2017.<\/p><p>\u201cCenter of Excellence for Mobile Sensor Data-to-Knowledge (MD2K),\u201d Center for Drug Use and HIV Research, New York University, 4\/4\/2017.<\/p><p>&#8220;Individualized Mobile Health and Real-life Biosensor Technology within the CTN,&#8221; Annual Meeting of NIDA Clinical Trials Network, 3\/24\/2017.<\/p><p>&#8220;Biobank for mHealth: Collecting High-frequency Mobile Sensor Data for Long-lasting Research Utility,&#8221; OBSSR Director&#8217;s Seminar Series, 11\/15\/2016.<\/p><p>\u201cPromise and Potential of Mobile Sensor Data-to-Knowledge (MD2K),\u201d BDSouthHUB (NSF), 11\/3\/2016. \u201cPromise and Potential of Mobile Sensor Data-to-Knowledge (MD2K),\u201d Biological Sciences, University of Memphis, 10\/20\/2016.<\/p><p>\u201cCenter of Excellence for Mobile Sensor Data-to-Knowledge (MD2K),\u201d SIM Strategy Series Executive Conference, 9\/28\/2016.<\/p><p>\u201cCenter of Excellence for Mobile Sensor Data-to-Knowledge (MD2K),\u201d University of Memphis General Faculty Meeting, 8\/18\/2016.<\/p><p>\u201cDevelopment and Validation of Biomarkers from Mobile Sensor Data,\u201d Health Data Exploration Institute, UC San Diego, 07\/12\/2016.<\/p><p>\u201cBiomarkers of Health Behaviors from Wearable Wireless Sensors,\u201d mHealth Training Institute, UCLA, 08\/09\/2016.<\/p><p>\u201cPromise and Potential of Mobile Sensor Data-to-Knowledge (MD2K),\u201d Florida Atlantic University, 5\/19\/2016.<\/p><p>\u201cCenter of Excellence for Mobile Sensor Data-to-Knowledge (MD2K),\u201d Memphis Area Psychological Association, 12\/10\/2015.<\/p><p>\u201cCenter of Excellence for Mobile Sensor Data-to-Knowledge (MD2K),\u201d Health Journal Club, College of Business, University of Memphis, 10\/28\/2015.<\/p><p>\u201cPerils and Promise of mHealth Big Data,\u201d Scripps Translational Science Institute Conference on Evidence Driven mHealth, 10\/2\/2015.<\/p><p>\u201cCenter of Excellence for Mobile Sensor Data-to-Knowledge (MD2K),\u201d Mayo Clinic Individualized Medicine Conference, 9\/23\/2015.<\/p><p>\u201cMobile Sensor Big Data Challenges in Realizing Precision Medicine,\u201d Microsoft Corporation, 9\/1\/2015.<\/p><p>\u201cIncorporating Mobile Exposure in mHealth Precision Medicine,\u201d NIEHS Exposome Webinar Series, 8\/4\/2015.<\/p><p>\u201cMobile Health (mHealth) Platforms for the Era of Precision Medicine,\u201d Intel Corporation, 6\/30\/2015.<\/p><p>\u201cA Computer Scientist\u2019s Journey in mHealth,\u201d Keynote Speech, Smart and Connected Health Aspiring PI Meeting, National Science Foundation (NSF), 6\/29\/2015.<\/p><p>\u201cTowards Sensor-triggered Mobile Health Interventions,\u201d Keynote Speech, Annual Meeting of the Society for Ambulatory Assessment, 6\/26\/2015.<\/p><p>\u201cSensor-triggered Just-in-time (JIT) Mobile Health Interventions \u2013 A Transdisciplinary Research Opportunity,\u201d OBSSR 20th Anniversary Celebrations, NIH, 6\/25\/2015.\u00a0<\/p><p>\u201cDetecting Cocaine Use from Wireless ECG Worn in Field Studies,\u201d NIDA Webinar, 5\/21\/2015.<\/p><p>\u201cImproving the Temporal Precision of Precision Medicine via Mobile Health,\u201d iDASH Webinar, UC San Diego, 5\/15\/2015.<\/p><p>\u201cImproving the Temporal Precision of Precision Medicine via Mobile Health,\u201d St. Jude\u2019s Children Research Hospital, 5\/4\/2015.<\/p><p>\u201cIs the User Ready to Receive A Sensor-triggered Just-in-time Mobile Health Intervention?,\u201d Annual Meeting of the Society for Behavioral Medicine (SBM), 4\/24\/2015.<\/p><p>\u201cContinuous Measurement of Stress \u2013 What Makes Driving Stressful?,\u201d Annual Meeting of the Society for Behavioral Medicine (SBM), 4\/23\/2015.<\/p><p>\u201cDesigning Sensor-triggered Just-in-time Mobile Health Interventions,\u201d Wayne State University, 4\/21\/2015.<\/p><p>\u201cAddressing Addictive Behaviors Using Sensor-Triggered Just-in-Time Mobile Health Interventions,\u201d Keynote Speech, NIDA Clinical Trials Network, Gaithersburg (MD), 4\/16\/2015.<\/p><p>\u201cDesigning Sensor-Triggered Just-in-Time Interventions,\u201d Keynote Speech, 14th Annual UT\/KBRIN Bioinformatics Summit, Buchanan (TN), 3\/21\/2015.<\/p><p>\u201cMeasuring Stress &amp; Addictive Behaviors Using Mobile Physiological Sensors,\u201d ENAR Meeting, Miami, 3\/16\/2015.<\/p><p>\u201cTesting the Devices: Using the Cohort to Assess Efficacy,\u201d NIH Precision Medicine Workshop, NIH Campus, 2\/12\/2015.<\/p><p>\u201cSensor Triggered Just-in-Time Mobile Health Interventions \u2013 Opportunities &amp; Challenges,\u201d Dartmouth College, January 2015.<\/p><p>\u201cComputing Grand Challenges in Future Mobile Health Systems and Applications \u2013 Introduction &amp; Chair\u2019s Address,\u201d NIH Campus, October 2014.<\/p><p>\u201cmHealth \u2013 Cardiovascular Health Scenarios,\u201d ACM SIGKDD Workshop on Bigdata Opportunities &amp; Challenges in Mobile Health, New York City, August 2014.<\/p><p>\u201cCyber Physical Systems Models for Just-in-Time Care Delivery with Mobile Health Sensors,\u201d Mini-symposium #19, 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Chicago, August 2014.\u00a0<\/p><p>\u201cInferring Stress and Addictive Behaviors Using Mobile Sensors,\u201d Mini-symposium #41, 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Chicago, August 2014.\u00a0<\/p><p>\u201cContinuous Measurement of Stress in the Mobile Environment via Wireless Physiological Sensors,\u201d NIH Annual Meeting of the Science of Behavior Change (SOBC), June 2014.\u00a0<\/p><p>\u201cState-of-the-Science in Mobile Health,\u201d American Association for Advancement in Science (AAAS) Workshop on mHealth and Law, June 2014.\u00a0<\/p><p>\u201cPredicting Smoking Abstinence via Mobile Monitoring of Stress and Social Context,\u201d NIH OppNet Sleep &amp; Stress Meeting, May 2014.<\/p><p>\u201cComputational Modeling of Human Behaviors from Mobile Sensors,\u201d Marquette University, April 2014.<\/p><p>\u201cComputational Modeling for Automated Detection of Cocaine Use from ECG Response,\u201d Annual Meeting of the Society for Behavioral Medicine (SBM), Panel#16, Philadelphia, PA, April 2014.\u00a0<\/p><p>\u201cIdentifying Drug (Cocaine) Intake Events from Acute Physiological Response in the Presence of Free-living Physical Activity,\u201d ACM IPSN, Berlin, Germany, April 2014.<\/p><p>\u201cRealizing the Vision of P5 Medicine via Mobile Health \u2013 Application to Cardiac Care,\u201d UCLA mHealth Symposium, jointly organized by UCLA Medical School, CTSI, and Bioengineering, March 2014.<\/p><p>\u201cComputational Modeling of Behaviors from Mobile Sensors: A Case Study of Modeling Cocaine Use Response in ECG,\u201d NIDA Intramural Research Program, NIH, Feb 2014.<\/p><p>\u201cBehavior Assessment with Mobile Sensors,\u201d NIH mHealth Training Institute, mHealth Summit, Dec 2013.<\/p><p>\u201cComputational Modeling of Behaviors from Mobile Measurement of Physiology,\u201d Duke Medical School, Dec 2013.<\/p><p>\u201cComputational Modeling of Behaviors from Mobile Measurement of Physiology,\u201d Distinguished Lecture Series, Computer Science &amp; Engineering, UC San Diego, Dec 2013.<\/p><p>\u201cUnderstanding Data Yield in Mobile Health User Studies with Wearable Sensors,\u201d The Ohio State University, Oct 11, 2013.<\/p><p>\u201cAssessment of Behavioral Health with Physiological Sensors,\u201d Mobile Data Repository and Analysis Platforms, iDASH Meeting, UC San Diego. Sep 2013.<\/p><p>\u201cJust-in-Time mHealth Intervention with Physiological Sensors,\u201d First International Symposium on Computational Behavioral Science, Kanagawa, Japan. Sep 2013.<\/p><p>\u201cThe Future of Health IT for Behavioral Health \u2013 Biosensors,\u201d White House Speech at the Technology Innovations for Substance Abuse and Mental Health Treatment Conference. Sep 2013.<\/p><p>\u201cRealizing Just-in-time mHealth Intervention via Mobile Assessment of Health, Behavior and Context \u2013 Opportunities and Challenges,\u201d Keynote Speech at the 6th Scientific Meeting of the International Society for Research on Internet Interventions (ISRII), May 2013.<\/p><p>\u201cRevolutionizing Healthcare via Democratization of Mobile Health \u2013 An Agenda for Computing Research,\u201d University of Texas, Arlington, Feb 2013.<\/p><p>\u201cRevolutionizing Healthcare via Democratization of Mobile Health \u2013 An Agenda for Computing Research,\u201d Washington University in St. Louis, Feb 2013.<\/p><p>\u201cMobile Measurement of Behavioral and Social Health at Population Scale \u2013 Implications for Computing Research,\u201d Keynote Speech at the 10th IEEE\/IFIP International Conference on Embedded and Ubiquitous Computing and 15th IEEE International Conference on Computational Science and Engineering, Paphos, Cyprus, 12\/5\/2012.<\/p><p>\u201cMeasurement of Behavioral and Social Health at Population Scale,\u201d Auburn University, 9\/30\/2012.<\/p><p>\u201cMeasurement of Behavioral and Social Health at Population Scale,\u201d University of Illinois at Urbana Champaign (UIUC), 9\/13\/2012.<\/p><p>\u201cMeasurement of Behavioral and Social Health at Population Scale,\u201d Dartmouth College, 05\/23\/2012.<\/p><p>\u201cMeasurement of Behavioral and Social Health at Population Scale,\u201d mHealth Extravaganza Lecture Series, National Institutes of Health (NIH), 05\/03\/2012.<\/p><p>\u201cmPuff: Automated Detection of Cigarette Smoking Puffs from Respiration Measurements,\u201d ACM\/IEEE IPSN Conference, Beijing, China, 04\/19\/2012.<\/p><p>\u201cMobile Measurement of Behavioral and Social Health at Population Scale \u2013 Implications for Computing Research,\u201d Keynote Speech at the 2nd Mobile Sensing Workshop, IEEE\/ACM Information Processing in Sensor Networks (IPSN) Conference, Beijing, China, 04\/16\/2012.<\/p><p>\u201cAutomated Assessment of Naturally Occurring Conversations,\u201d Symposium 17: Device-Enabled Measurement of Health Behaviors in Real-time (SY17), Annual Meeting of Society for Behavioral Medicine (SBM), New Orleans, 04\/12\/2012.<\/p><p>\u201cMeasurement of Behavioral and Social Health at Population Scale,\u201d Electrical Engineering and Computer Engineering, 03\/20\/2012.<\/p><p>\u201cMeasurement of Behavioral and Social Health at Population Scale,\u201d Georgia Institute of Technology, 03\/07\/2012.<\/p><p>\u201cMeasurement of Behavioral and Social Health at Population Scale,\u201d Biomedical Engineering, 01\/27\/2012.<\/p><p>\u201cMeasurement of Behavioral and Social Health at Population Scale,\u201d NSF Workshop on Measuring Population Health, Washington, D.C., 01\/12\/2012.<\/p><p>&#8220;mHealth Evidence Workshop: Evaluating the Efficacy and Safety of Mobile Health,&#8221; mHealth Summit, Washington, D.C., 12\/06\/2011.<\/p><p>&#8220;Addressing Stress and Addictive Behavior in the Natural Environment Using AutoSense,&#8221; University of California, Los Angeles, 11\/4\/2011.<\/p><p>&#8220;Addressing Stress and Addictive Behavior in the Natural Environment Using AutoSense,&#8221; University of Washington, 10\/31\/2011.<\/p><p>&#8220;Addressing Stress and Addictive Behavior in the Natural Environment Using AutoSense,&#8221; University of California, San Diego, 10\/11\/2011.<\/p><p>&#8220;Addressing Stress and Addictive Behavior in the Natural Environment Using AutoSense,&#8221; University of Pennsylvania, 10\/19\/2011.<\/p><p>&#8220;Addressing Stress and Addictive Behavior in the Natural Environment Using AutoSense,&#8221; Washington University in St. Louis, 09\/30\/2011.<\/p><p>&#8220;mHealth Evidence Workshop &#8211; Exploring Innovative Methods to Evaluate Efficacy and Safety of Mobile Health,&#8221; Chair&#8217;s Address, mHealth Evidence Workshop, Washington D.C., 8\/16\/2011.<\/p><p>&#8220;Addressing Stress and Addictive Behavior in the Natural Environment Using AutoSense,&#8221; Duke University, 04\/13\/2011.<\/p><p>&#8220;Scaling Personal Stress Assistance in Natural Environment,&#8221; National Science Foundation Workshop on Pervasive Computing at Scale, Seattle, WA, 1\/27\/2011.<\/p><p>&#8220;Addressing Stress and Addictive Behavior in the Natural Environment Using AutoSense,&#8221; The Ohio state University, 10\/28\/2010.<\/p><p>&#8220;Integration of novel methods to assess effects of stress and alcohol use,&#8221; Annual Meeting of the Society for Prevention Research (SPR), Denver, CO, June 2010.<\/p><p>&#8220;Integration of novel methods to assess effects of stress and alcohol use,&#8221; Annual Convention of the American Psychosomatic Society Meeting, Portland, OR, March 2010.<\/p><p>&#8220;AutoSense: A Wireless Sensor System to Quantify Psychosocial Stress and Alcohol in Natural Environments,&#8221; New Frontiers in Measurement: Phenotypes, Endophenotypes, and Envirotypes for Genetic and Behavioral Studies of Nicotine Dependence, at the Annual Conference of the Society for Research on Nicotine and Tobacco (SRNT), Feb 2010.<\/p><p>&#8220;AutoSense: A Wireless Sensor System to Quantify Personal Exposures to Psychosocial Stress and Alcohol in Natural Environments,&#8221; International Society for Exposure Sciences (ISES), Minneapolis, MN, 11\/05\/2009.<\/p><p>&#8220;Stress and Addiction: Integration of Novel Assessment Methods,&#8221; within the Symposium titled &#8216;GeneEnvironment Interplay in Stress and Health: Network on Exposure to Psychosocial Stress and Addictive Substances\u2019, Annual Convention of the Association for Psychological Sciences. San Francisco, CA, 05\/22\/2009.<\/p><p>&#8220;Enabling Physical, Emotional, and Social Well-Being Through Personalized Sensing in Natural Environments,&#8221; National Science Foundation Workshop on Future Directions in Networked Sensing: Fundamentals and Applications, Arlington, VA, 11\/12\/2009.<\/p><p>&#8220;Wireless Sensor Networks: A New Revolution in Computing Coming Your Way,&#8221; National Institute of Technology, Jamshedpur, India, 5\/26\/2009.<\/p><p>&#8220;Trap Coverage: Allowing Coverage Holed of Bounded Diameter in Wireless Sensor Networks,&#8221; IEEE INFOCOM, Rio De Janeiro, Brazil, 04\/21\/2009.<\/p><p>&#8220;Random vs. Deterministic Deployment of Sensors in the Presence of Failures and Placement Errors,&#8221; IEEE INFOCOM, Rio De Janeiro, Brazil, 04\/20\/2009.<\/p><p>&#8220;AutoSense: A Wireless Sensor System to Quantify Psychosocial Stress and Alcohol in Natural Environments,&#8221; National Institute on Alcohol Abuse and Alcoholosim (NIAAA), National Institutes of Health (NIH), 1\/12\/2009.<\/p><p>&#8220;Coverage and Connectivity in Wireless Networks: the Journey from Percolation to Reliable Density Estimates&#8221;, First Workshop on the Theory of Ad-Hoc and Sensor Networks (ThASN) (in conjunction with IEEE MASS conference), 9\/29\/2008.<\/p><p>&#8220;Optimal Sleep Wakeup Algorithms for Barriers of Wireless Sensors,&#8221; Invited (live video) Lecture to a joint course of Ohio State University and University of Cincinnati, 10\/15\/2007.<\/p><p>&#8220;Coverage and Connectivity in Wireless Networks: the Journey from Percolation to Reliable Density Estimates&#8221;, Clemson University, 11\/9\/2007.<\/p><p>&#8220;Coverage and Connectivity in Wireless Networks: the Journey from Percolation to Reliable Density Estimates&#8221;, Georgia Institute of Technology, 10\/17\/2007.<\/p><p>&#8220;Optimal Sleep Wakeup Algorithms for Barriers of Wireless Sensors,&#8221; IEEE BROADNETS, Raleigh, NC, 2007.<\/p><p>&#8220;Barrier Coverage With Wireless Sensors,&#8221; University of Memphis, 2\/24\/2006.<\/p><p>&#8220;On k-Coverage in a Mostly Sleeping Sensor Network,&#8221; ACM MobiCom, Philadelphia, PA, 2004.<\/p><h4>\u00a0<\/h4><h4>Position History<\/h4><ul><li style=\"list-style-type: none;\"><ul><li>Lillian &amp; Morrie Moss Chair of Excellence in Computer Science, University of Memphis (2015-present)<\/li><li>Professor with Tenure &#8211; University of Memphis (2015-present)<\/li><li>Associate Professor with Tenure &#8211; University of Memphis (2011-2015)<\/li><li>Assistant Professor &#8211; University of Memphis (2006-2011)<\/li><li>SBC Presidential Fellow &#8211; The Ohio State University (2006)<\/li><li>Graduate Research &amp; Teaching Associate &#8211; The Ohio State University (2000-2005)<\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4ee2323 elementor-widget elementor-widget-text-editor\" data-id=\"4ee2323\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p style=\"text-align: right;\">Last updated: 6\/10\/24<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-15725a5 e-flex e-con-boxed e-con e-parent\" data-id=\"15725a5\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6fce142 elementor-widget elementor-widget-spacer\" data-id=\"6fce142\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! 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Previous Classes \u2022\u00a0COMP 4270\/6270:\u00a0Introduction to Operating Systems (Spring 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007) \u2022\u00a0COMP 7313:\u00a0Network Design and Performance Analysis (Fall 2009, 2008, 2007, 2006) \u2022\u00a0COMP 3825:\u00a0Networking and Information Assurance (Spring 2007) \u00a0 Other Teaching &amp; Presentation [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-5580","page","type-page","status-publish","hentry"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/mdotcenter.org\/santosh\/wp-json\/wp\/v2\/pages\/5580","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mdotcenter.org\/santosh\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/mdotcenter.org\/santosh\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/mdotcenter.org\/santosh\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/mdotcenter.org\/santosh\/wp-json\/wp\/v2\/comments?post=5580"}],"version-history":[{"count":10,"href":"https:\/\/mdotcenter.org\/santosh\/wp-json\/wp\/v2\/pages\/5580\/revisions"}],"predecessor-version":[{"id":6389,"href":"https:\/\/mdotcenter.org\/santosh\/wp-json\/wp\/v2\/pages\/5580\/revisions\/6389"}],"wp:attachment":[{"href":"https:\/\/mdotcenter.org\/santosh\/wp-json\/wp\/v2\/media?parent=5580"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}