Selected Publications
For a complete list, please visit my Google Scholar page.
Anup Sathya, Jiasheng Li, Tauhidur Rahman, Ge Gao, Huaishu Peng. "Calico: Track Based Interactive and Relocatable Wearables with Fast, Reliable, and Precise Locomotion" Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT 2022).
Zhongyang Zhang, Zhiyang Xu, Zia Ahmed, Asif Salekin, Tauhidur Rahman. "Hyperspectral Image Super-Resolution in Arbitrary Input-Output Band Settings" WACV 2022 Workshop on Applications of Computational Imaging) (WACI 2022).
Manasa Kalanadhabhatta, Adrelys Mateo Santana, Zhongyang Zhang, Deepak Ganesan, Adam S Grabell, Tauhidur Rahman. "EarlyScreen: Multi-scale Instance Fusion for Predicting Neural Activation and Psychopathology in Preschool Children" Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT 2022).
Adam S Grabell, Adrelys Mateo Santana, Kari N Thomsen, Katie Gonzalez, Zhongyang Zhang, Zachary Bivins, Tauhidur Rahman. "Prefrontal Modulation of Frustration-related Physiology in Preschool Children Ranging from Low to Severe Irritability" Developmental Cognitive Neuroscience, Volume 55, 2022.
Bhanu Teja Gullapalli, Stephanie Carreiro, Brittany Chapman, Deepak Ganesan, Jan Sjoquist, Tauhidur Rahman. "OpiTrack: A Wearable-based Clinical Opioid Use Tracker with Temporal Convolutional Attention Networks" Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (ACM IMWUT 2021). [PDF][Video]
Bhanu Teja Gullapalli, Gustavo A Angarita, Deepak Ganesan, Tauhidur Rahman. "Joint Prediction of Cocaine Craving and Euphoria using Structured Prediction Energy Networks" DigiBiom '21: Proceedings of the 2021 Workshop on Future of Digital Biomarkers. [PDF][Video]
Colin Barry, Tauhidur Rahman, and Edward J. Wang. "Tenets towards smartphone-based medical tricorders" DigiBiom '21: Proceedings of the 2021 Workshop on Future of Digital Biomarkers. [PDF]
Md Mahmudur Rahman, Tauhidur Rahman, Donghyun Kim, Mohammad Arif Ul Alam. "Knowledge Transfer across Imaging Modalities Via Simultaneous Learning of Adaptive Autoencoders for High-Fidelity Mobile Robot Vision" 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021). [PDF]
Manasa Kalanadhabhatta, Tauhidur Rahman, Deepak Ganesan. "Effect of Sleep and Biobehavioral Patterns on Multidimensional Cognitive Performance: Longitudinal, In-the-Wild Study" Journal of Medical Internet Research (JMIR), 2021. [PDF]
Md. Farhan Tasnim Oshim, Julian Killingback, Dave Follette, Huaishu Peng, Tauhidur Rahman. "MechanoBeat: Monitoring Interactions with Everyday Objects using 3D Printed Harmonic Oscillators and Ultra-Wideband Radar" Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology (UIST 2020). [PDF][Video]
Forsad Al Hossain, Andrew A. Lover, George A. Corey, Nicholas G. Reich, Tauhidur Rahman. "FluSense: A Contactless Syndromic Surveillance Platform for Influenza-Like Illness in Hospital Waiting Areas" Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT 2020). [PDF]
Catherine Adans-Dester et. al. "Can mHealth Technology Help Mitigate the Effects of the COVID-19 Pandemic?" IEEE Open Journal of Engineering in Medicine and Biology 2020. [PDF]
Akane Sano, Tauhidur Rahman, Mi Zhang, Deepak Ganesan, Tanzeem Choudhury. "Mobile Sensing of Alertness, Sleep and Circadian Rhythm: Hardware and Software Platform" GetMobile: Mobile Computing and Communications 2020 [PDF]
Goldfine*, Charlotte Oshim*, Md. Farhan Tasnim, Stephanie Carreiro, Brittany Chapman, Deepak Ganesan, Tauhidur Rahman "Respiratory Rate Monitoring in Clinical Environments with a Contactless Ultra-Wideband Impulse Radar-based Sensor System" 53nd Hawaii International Conference on System Sciences 2020. [PDF]
Bhanu Teja Gullapalli, Annamalai Natarajan, Gustavo A. Angarita, Robert T. Malison, Deepak Ganesan, Tauhidur Rahman. 2019. "On-body Sensing of Cocaine Craving, Euphoria and Drug-Seeking Behavior using Cardiac and Respiratory Signals" Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. (IMWUT 2019). [PDF]
Debasmita Ghose, Shasvat Desai, Sneha Bhattacharya, Deep Chakraborty, Madalina Fiterau, Tauhidur Rahman. "Pedestrian Detection in Thermal Images using Saliency Maps" 15th IEEE Workshop on Perception Beyond the Visible Spectrum (CVPR 2019 Workshop). [PDF]
Pooya Khaloo, Brandon Oubre, Jeremy Yang, Tauhidur Rahman, Sunghoon Ivan Lee. 2019, "NOSE: A Novel Odor Sensing Engine for Ambient Monitoring of the Frying Cooking Method in Kitchen Environments", Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. (IMWUT 2019). [PDF]
Soha Rostaminia, Alexander Lamson, Subhransu Maji, Tauhidur Rahman, and Deepak Ganesan. 2019. "W!NCE: Unobtrusive Sensing of Upper Facial Action Units with EOG-based Eyewear" Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. (IMWUT 2019) 3,1, Article 23 (March 2019), 26 pages. [PDF]
Tauhidur Rahman, Alexander Adams, Perry Schein, Aadhar Jain, David Erickson, Tanzeem Choudhury, “Nutrilyzer: A Mobile System for Characterizing Liquid Food with Photoacoustic Effect”, The 14th ACM Conference on Embedded Networked Sensor Systems (SenSys 2016), Stanford, California, USA. [PDF]
Tauhidur Rahman, Mary Czerwinski, Ran Gilad-Bachrach, Paul Johns, "Predicting “About-to-Eat” Moments for Just-in-Time Eating Intervention", Digital Health 2016. [PDF]Best Paper Award
Tauhidur Rahman, Alexander Adams, Ruth Vinisha Ravichandran, Mi Zhang, Shwetak Patel, Julie Kientz, Tanzeem Choudhury, "DoppleSleep: A Contactless Unobtrusive Sleep Sensing System using Short-Range Doppler Radar", The 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2015), Osaka, Japan. [PDF] [Demo Video] Honorable Mention Award
Tauhidur Rahman, Alexander Adams, Mi Zhang, Erin Cherry, Tanzeem Choudhury, "BodyBeat: Eavesdropping on our Body Using a Wearable Microphone", GetMobile: Mobile Computing and Communications 2015. [PDF]
Tauhidur Rahman, Alexander Adams, Erin Carroll, Bobby Zhou, Huaishu Peng, Mi Zhang, Tanzeem Choudhury, "BodyBeat: A Mobile System for Sensing Non-Speech Body Sounds", International Conference on Mobile Systems, Applications and Services (MobiSys 2014), New Hampshire, USA, June. [PDF] [Demo Video]
Tauhidur Rahman, Mi Zhang, Stephen Voida, and Tanzeem Choudhury, "Towards Accurate Non-Intrusive Recollection of Stress Levels Using Mobile Sensing and Contextual Recall'', International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth), Oldenburg, Germany, May, 2014. [PDF]
Phil Adams, Mashfiqui Rabbi, Tauhidur Rahman, Mark Matthews, Amy Voida, Geri Gay, Tanzeem Choudhury, Stephen Voida, "Towards Personal Stress Informatics: Comparing Minimally Invasive Techniques for Measuring Daily Stress in the Wild'', International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth), Oldenburg, Germany, May, 2014. [PDF]
Tauhidur Rahman, Carlos Busso, "A personalized emotion recognition system using an unsupervised feature adaptation scheme", ICASSP 2012: 5117-5120 [PDF]
David Tick, Tauhidur Rahman, Carlos Busso, Nicholas R. Gans, "Indoor robotic terrain classification via angular velocity based hierarchical classifier selection", ICRA 2012: 3594-3600 [PDF]
Carlos Busso, Tauhidur Rahman, "Unveiling the Acoustic Properties that Describe the Valence Dimension", INTERSPEECH 2012 [PDF]
Tauhidur Rahman, Soroosh Mariooryad, Shalini Keshavamurthy, Gang Liu, John H. L. Hansen, Carlos Busso, "Detecting Sleepiness by Fusing Classifiers Trained with Novel Acoustic Features", INTERSPEECH 2011: 3285-3288 [PDF]
Selected Press Coverage
“Realtime Flu Monitoring Tech FluSense Developed at UMass” Interview at the Connecting Point Program in the Public Television for Western New England (WGBY), first aired on March 30, 2020.
“Chainsaws, Gunshots and Coughs: Our Smartphones Are Listening” in Wall Street Journal.
“Listen to sounds inside the body to monitor health” in NewScientist.
“Wearable Self-Tracking Tool Listens for Yawns, Coughs, and Munches” in MIT Technology Review.
“Got Sleep Problems? Try Tracking Your Rest with Radar” in MIT Technology Review.
“3D-Printed MechanoBeat Tags Monitor Interactions with No Batteries, Chips, or Electronic Parts” in Hackstar.
“Listening for the next epidemic: How the sounds of a crowd may help scientists forecast future disease outbreaks” in Science Node.
“FluSense system tracks sickness trends by autonomously monitoring public spaces” in TechCrunch.
“FluSense: A portable device that can detect cough in the making” in Hindustan Times (India).
“Computer Science meets Behavioral Sciences: Interdisciplinary Research Focuses on Heat Resilience in the Age of Climate Change” in UMass News and Media.
“Researchers create an AI microphone that listens for coughs and sneezes in public spaces to predict how many people have respiratory illnesses at any given time even if they haven't been to a doctor for treatment” in Daily Mail (UK).