Assistant ProfessorHalıcıoğlu Data Science InstituteUniversity of California San DiegoEmail: firstname.lastname@example.org
Bio: Tauhidur Rahman is an Assistant Professor in the Halıcıoğlu Data Science Institute at the University of California San Diego where he directs the Mobile Sensing and Ubiquitous Computing Laboratory (MOSAIC Lab). His current research focuses on building novel ubiquitous and mobile health sensing technologies that capture observable low-level physical signals in the form of an acoustic and electromagnetic wave from our bodies and surrounding environments and map them to relevant biological and behavioral measurements. Some of his notable accomplishments include a Google Ph.D. fellowship in 2016 in mobile computing, a finalist position in Qualcomm innovation fellowship in 2015, Outstanding Teaching Award 2015 from Cornell University, one best paper award in ACM Digital Health 2016, one best paper honorable mention award in ACM Ubicomp 2015 and a distinguished paper award from ACM IMWUT in 2021. Tauhidur received his B.S. in Electrical and Electronic Engineering from the Bangladesh University of Engineering and Technology, his M.S. in Electrical Engineering from the University of Texas at Dallas and PhD in Information Science from Cornell University. He has a long track-record working with large-scale multi-modal and multi-rate sensor data, especially in the application areas of digital epidemiology, substance use disorder, mental health and sleep. His work has been featured in several US-based and International media outlets including Wall Street Journal, MIT Technology Review, NewScientist, Public Television for Western New England, Daily Mail (UK) and Hindustan Times (India). His laboratory has been funded by NSF, NIH, DARPA and industry grants.
[September 2022] Relocated to sunny San Diego! Setting up the lab in the newly built Franklin and Antonio Hall at UCSD!
[September 2022] NEW ACII 2022 Paper "Extracting Multimodal Embeddings via Supervised Contrastive Learning for Psychological Screening" Congrats Manasa!
[August 2022] NEW npj Digital Medicine Paper "Impact of individual and treatment characteristics on wearable sensor-based digital biomarkers of opioid use" Congrats Bhanu!
[July 2022] NEW IMWUT 2022 Paper: "Calico: Track Based Interactive and Relocatable Wearables with Fast, Reliable, and Precise Locomotion"
[June 2022] I will be joining HDSI at UCSD from Summer 2022. It has been a great pleasure to serve at CICS UMass and now looking forward to the new adventure at UCSD!
[May 2022] NEW IMWUT 2022 Paper: "EarlyScreen: Multi-scale Instance Fusion for Predicting Neural Activation and Psychopathology in Preschool Children" Congrats Manasa!
[April 2022] We (Dr. Adam Grabell and I as joint-PIs) received UMass System’s Office of Technology Commercialization & Ventures (OTCV) Technology Development Research Grant ($23K) for our work on a mobile video game-based early psychopathology screening tool for pre-school children.
[April 2022] More Press Coverage on our work to fight opioid epidemic with wearable signals.
[March 2022] Delighted to participate the first Public Interest Technology Symposium as a panelist at UMass. We discussed about large scale mobile sensor data, data privacy, the need for open science and maker culture.
[February 2022] Excited to be co-organizing the 3rd Digital Biomarker workshop with MobiSys 2021. Come join us in July 1st in Portland Oregon. Call for paper available here.
[January 2022] mHealth Intelligence (a popular healthcare media) features our work. Wearable Sensor May Help Curb Opioid Relapses, Overdoses
[December 2021] UMass Press coverage on our recent and ongoing work on Addiction Computing Technologies.
[October 2021] FluSense received Distinguished Paper Award from PACM IMWUT vol 4 in Ubicomp 2021. Congrats to Forsad and team. Thanks to our public health and clinical collaborators!
[September 2021] Excited to teach CICS 256: Make: Introduction to Physical Computing class in Fall 2021. Course website.
[September 2021] NEW NIH R21 proposal as Co-I with PI Dr. Adam Grabell (Cognitive and Brain Sciences). We are developing mobile sensing tools for emotion regulation psychopathology and early screening for pre-school children. Currently at the negotiation stage. Official announcement soon!
[August 2021] NEW DARPA TAMI proposal funded. Working on design and development of a novel Machine Reflex mechanism with my colleague Hava Siegelmann.
[July 2021] NEW NSF Smart and Connected Health proposal ($1.1 million) on opioid craving modeling and management has been recommended for funding. Official annoucement soon!
[July 2021] Congrats to my PhD student Bhanu for his acceptance in Yale's Innovation to Impact program. This is a highly selective entrepreneurship training program for substance use disorder.
[July 2021] Congrats to my PhD student Forsad for the Computing for Common Good Fellowship. Forsad will be working on a generalized computational platform for syndromic surveillance.
[June 2021] NEW IMWUT 2021 Paper: "OpiTrack: A Wearable-based Clinical Opioid Use Tracker with Temporal Convolutional Attention Networks" Congrats Bhanu! Paper will be available soon.
[May 2021] NEW IROS 2021 Paper: "Knowledge Transfer across Imaging Modalities Via Simultaneous Learning of Adaptive Autoencoders for High-Fidelity Mobile Robot Vision" Paper Link.
[April 2021] co-chairing a workshop on the Future of Digital Biomarkers with ACM MobiSys 2021.
[March 2021] Our book "Contactless Human Activity Analysis" published by Springer is out. I served as a editor of the book. The chapters cover areas from rf sensing to computational photography and are written by experts from 15 different organizations around the world. Pre-order link and comments on the book from experts.
[February 2021] NEW JMIR paper: "Effect of Sleep and Biobehavioral Patterns on Multidimensional Cognitive Performance: Longitudinal, In-the-Wild Study" Paper It was a NSF Future of Work funded work.
[January 2021] Serving on the TPC of MobiSys 2021
[October 2020] Serving on the TPC of PerIoT 2021
[September 2020] Co-organizing the virtual Mental Health: Sensing and Intervention workshop, collocated with Ubicomp 2020.
[June 2020] Received a grant from Intel Pandemic Response Technology Initiative to work on COVID-19 resurgence modeling with contactless syndromic signal sensing from crowds at public spaces in Western MA.
[May 2020] NSF Smart and Connected Society planning grant was awarded. Looking forward to working on "Extreme temperature and it's impact on human physiology, psychology and our community-level behaviors" with colleagues at UMASS, ASU and NAIST (Japan). A UMass press release on our project.
[April 2020] Thrilled to talk about FluSense in an interview with the Public Television for Western New England (WGBY). Link
[April 2020] FluSense received an alomost world-wide press coverage. Techcrunch, UMass, Daily Mail (UK), Science Daily, Hindustan Times (India), Science Node, Digital Trends, Masslive, Photonics, ibitimes (Singapore). Full List
[January 2020] New IMWUT/Ubicomp 2020 Paper "FluSense: A Contactless Syndromic Surveillance Platform for Influenza-Like Illness in Hospital Waiting Areas". This is our first paper in the new space of digital epidemiology. This will be a major thrust of our research going forward. The paper is going through camera-ready process and can be made available upon request.
[September 2019] Excited to teach a new course CICS 290M: Make at UMass.
[August 2019] MOSAIC lab website is live now. http://mosaic.cs.umass.edu
[April 2019] Serving as a Poster, Video and Demo Chair of Ubicomp 2019.
[April 2019] New IMWUT/Ubicomp 2019 Paper "NOSE: A Novel Odor Sensing Engine for Ambient Monitoring of the Frying Cooking Method in Kitchen Environments"
[April 2019] Congrats Bhanu for the new IMWUT/Ubicomp 2019 Paper "On-body Sensing of Cocaine Craving, Euphoria and Drug-Seeking Behavior using Cardiac and Respiratory Signals".
[April 2019] New CVPR 2019 Workshop paper on "Pedestrian Detection in Thermal Images using Saliency Maps".
[March 2019] TPC at WearSys 2019
[Feb 2019] Thrilled to start the Laboratory for Mobile Sensing and Ubiquitous Computing (MOSAIC) at UMass. I will be co-directing the lab with my colleague Deepak Ganesan. The Website will be available soon at mosaic.cs.umass.edu.
[Jan 2019] New IMWUT/Ubicomp 2019 Paper "W!NCE: Unobtrusive Sensing of Upper Facial Action Units with EOG-based Eyewear."
[Sep 2018] Serving as TPC chair at ICCCN 2019.
[Aug 2018] NSF Future of Work-Human Technology Frontier grant proposal with colleagues at UMass, Rice and Cornell got accepted (Title: An Embodied Intelligent Cognitive Assistant to Enhance Cognitive Performance of Shift Workers, Role: Co-PI, Funding Amount: $627,907).
[May 2018] Serving as a Technical Program Committee (TPC) member for ACM SenSys 2018 (Nov 4-7 Shenzhen China).
[Feb 2018] Offering a new course in CICS UMass, CMPSCI 590U: Mobile and Ubiquitous Computing.
[Jan 2018] Excited to join UMass CICS as a tenure-track assistant professor.
[Oct 2017] Successfully defended my Ph.D. Thanks to my Ph.D. committee members Tanzeem Choudhury (Chair), Deborah Estrin, Malte Jung, David Erickson.
[June 2017] Successfully co-chaired the 1st ACM Workshop on Digital Biomarkers 2017 (Collocated with MobiSys 2017) in Niagara Falls, NY.
[May 2017] Accepted a tenure-track assistant professor position at UMass CICS.
[Nov 2016] Our work on Photoacoustic Effect got accepted in SenSys 2016. Look forward to presenting the paper in Stanford, CA (Nov 15th, 9:00am).
[April 2016] Received the Best Paper Award from Digital Health 2016 (collocated with WWW 2016) in Montreal, Canada.
[March 2016] Honored to receive the Google PhD Fellowship 2016 in Mobile Computing.
[Oct 2015] Presented DoppleSleep at Google Mobile Faculty Summit.
[August 2015] Had a phenomenal experience during the summer internship at Microsoft Research with the VIBE group (May 26th 2015 to August 14th 2015).
[May 2015] Honored to receive the Outstanding Teaching Award 2015 from Information Science, Cornell University.
[March 2015] Got selected as finalist in Qualcomm Innovation Fellowship Challenge. We will present our idea on March 24th-25th 2015 at Qualcomm Research in San Diego.
[Oct 2014] Really excited to demo BodyBeat to Microsoft co-founder Bill Gates.