Load Aware Broadcast in Mobile Ad Hoc Networks. - Md. Tanvir Al Amin; Sukarna Barua; Sudip Vhaduri; Ashikur Rahman (ICC, 2009)

Estimating Drivers' Stress from GPS Traces. - Sudip Vhaduri; Amin Ahsan Ali; Moushumi Sharmin; Karen Hovsepian; Santosh Kumar 001 (AutomotiveUI, 2014)

Visualization of time-series sensor data to inform the design of just-in-time adaptive stress interventions. - Moushumi Sharmin; Andrew Raij; David H. Epstein; Inbal Nahum-Shani; J. Gayle Beck; Sudip Vhaduri; Kenzie Preston; Santosh Kumar 001 (UbiComp, 2015)

Cooperative Discovery of Personal Places from Location Traces. - Sudip Vhaduri; Christian Poellabauer (ICCCN, 2016)

Human Factors in the Design of Longitudinal Smartphone-based Wellness Surveys. - Sudip Vhaduri; Christian Poellabauer (ICHI, 2016)

Towards Reliable Wearable-User Identification. - Sudip Vhaduri; Christian Poellabauer (ICHI, 2017)

Wearable device user authentication using physiological and behavioral metrics. - Sudip Vhaduri; Christian Poellabauer (PIMRC, 2017)

Discovering places of interest using sensor data from smartphones and wearables. - Sudip Vhaduri; Christian Poellabauer; Aaron Striegel; Omar Lizardo; David Hachen (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

Design Factors of Longitudinal Smartphone-based Health Surveys. - Sudip Vhaduri; Christian Poellabauer (J. Heal. Informatics Res., 2017)

Impact of different pre-sleep phone use patterns on sleep quality. - Sudip Vhaduri; Christian Poellabauer (BSN, 2018)

Opportunistic Discovery of Personal Places Using Smartphone and Fitness Tracker Data. - Sudip Vhaduri; Christian Poellabauer (ICHI, 2018)

Biometric-Based Wearable User Authentication During Sedentary and Non-sedentary Periods. - Sudip Vhaduri; Christian Poellabauer (CoRR, 2018)

Hierarchical Cooperative Discovery of Personal Places from Location Traces. - Sudip Vhaduri; Christian Poellabauer (IEEE Trans. Mob. Comput., 2018)

Towards Automatic Cough and Snore Detection. - Sudip Vhaduri; Thomas Brunschwiler (ICHI, 2019)

Nocturnal Cough and Snore Detection in Noisy Environments Using Smartphone-Microphones. - Sudip Vhaduri; Theodore G. van Kessel; Bongjun Ko; David Wood; Shiqiang Wang 001; Thomas Brunschwiler (ICHI, 2019)

Summary: Multi-modal Biometric-based Implicit Authentication of Wearable Device Users. - Sudip Vhaduri; Christian Poellabauer (CoRR, 2019)

Multi-Modal Biometric-Based Implicit Authentication of Wearable Device Users. - Sudip Vhaduri; Christian Poellabauer (IEEE Trans. Inf. Forensics Secur., 2019)

Continuous Authentication of Wearable Device Users from Heart Rate, Gait, and Breathing Data. - William Cheung 002; Sudip Vhaduri (BioRob, 2020)

Estimating Sleep Duration from Temporal Factors, Daily Activities, and Smartphone Use. - Chih-You Chen; Sudip Vhaduri; Christian Poellabauer (COMPSAC, 2020)

Nocturnal Cough and Snore Detection Using Smartphones in Presence of Multiple Background-Noises. - Sudip Vhaduri (COMPASS, 2020)

Adherence to Personal Health Devices: A Case Study in Diabetes Management. - Sudip Vhaduri; Temiloluwa Prioleau (PervasiveHealth, 2020)

Context-Dependent Implicit Authentication for Wearable Device Users. - William Cheung 002; Sudip Vhaduri (PIMRC, 2020)

Context-Dependent Implicit Authentication for Wearable Device User. - William Cheung 002; Sudip Vhaduri (CoRR, 2020)

Resource Management Schemes for Cloud-Native Platforms with Computing Containers of Docker and Kubernetes. - Ying Mao 001; Yuqi Fu; Suwen Gu; Sudip Vhaduri; Long Cheng 003; Qingzhi Liu (CoRR, 2020)

Understanding College Students' Phone Call Behaviors Towards a Sustainable Mobile Health and Wellbeing Solution. - Yugyeong Kim; Sudip Vhaduri; Christian Poellabauer (CoRR, 2020)

Effect of Noise on Generic Cough Models. - Sayanton V. Dibbo; Yugyeong Kim; Sudip Vhaduri (BSN, 2021)

Predicting Next Call Duration: A Future Direction to Promote Mental Health in the Age of Lockdown. - Sudip Vhaduri; Sayanton V. Dibbo; Chih-You Chen; Christian Poellabauer (COMPSAC, 2021)

Visualizing College Students' Geo-Temporal Context-Varying Significant Phone Call Patterns. - Sayanton V. Dibbo; Yugyeong Kim; Sudip Vhaduri; Christian Poellabauer (ICHI, 2021)

HIAuth: A Hierarchical Implicit Authentication System for IoT Wearables Using Multiple Biometrics. - Sudip Vhaduri; Sayanton Vhaduri Dibbo; William Cheung 002 (IEEE Access, 2021)

Deriving College Students' Phone Call Patterns to Improve Student Life. - Sudip Vhaduri; Sayanton Vhaduri Dibbo; Yugyeong Kim (IEEE Access, 2021)

Opportunistic Implicit User Authentication for Health-Tracking IoT Wearables. - Alexa Muratyan; William Cheung 002; Sayanton V. Dibbo; Sudip Vhaduri (CoRR, 2021)

Opportunistic Discovery of Personal Places Using Multi-Source Sensor Data. - Sudip Vhaduri; Christian Poellabauer (IEEE Trans. Big Data, 2021)

Automatic Plant Disease Detection Using Deep Learning. - Saeka Rahman; Sudip Vhaduri; Miad Faezipour (CSCI, 2022)

Predicting A User's Demographic Identity from Leaked Samples of Health-Tracking Wearables and Understanding Associated Risks. - Sudip Vhaduri; Sayanton V. Dibbo; Chih-You Chen (ICHI, 2022)

Understanding User Trust in Different Recommenders and Smartphone Applications. - Siva Simhadri; Sudip Vhaduri (MobiHealth, 2022)

Automatic Anomalies Detection in Hydraulic Devices. - Jose A. Solorio; Jose M. Garcia; Sudip Vhaduri (CoRR, 2022)

Predicting dominant hand from spatiotemporal context varying physiological data. - Jorge Neira-Garcia; Sudip Vhaduri (CoRR, 2022)

AHP-CM: Attentional Homogeneous-Padded Composite Model for Respiratory Anomalies Prediction. - Md Motiur Rahman 001; Miad Faezipour; Smriti Bhatt; Sudip Vhaduri (ICHI, 2023)

Discovering COVID-19 Coughing and Breathing Patterns from Unlabeled Data Using Contrastive Learning with Varying Pre-Training Domains. - Jinjin Cai; Sudip Vhaduri; Xiao Luo 002 (INTERSPEECH, 2023)

Discovering COVID-19 Coughing and Breathing Patterns from Unlabeled Data Using Contrastive Learning with Varying Pre-Training Domains. - Jinjin Cai; Sudip Vhaduri; Xiao Luo (CoRR, 2023)

Transfer Learning to Detect COVID-19 Coughs with Incremental Addition of Patient Coughs to Healthy People's Cough Detection Models. - Sudip Vhaduri; Seungyeon Paik; Jessica E. Huber (CoRR, 2023)

Implicit IoT authentication using on-phone ANN models and breathing data. - Sudip Vhaduri; Sayanton V. Dibbo; William Cheung 002 (Internet Things, 2023)

Mitigating Sex Bias in Audio Data-Driven COPD and COVID-19 Breathing Pattern Detection Models. - Rachel Pfeifer; Sudip Vhaduri; James Eric Dietz (BSN, 2024)

Toward Mitigating Sex Bias in Pilot Trainees' Stress and Fatigue Modeling. - Rachel Pfeifer; Sudip Vhaduri; Mark Wilson; Julius Keller (BSN, 2024)

AuD-Former: A Hierarchical Transformer Network for Multimodal Audio-Based Disease Prediction. - Jinjin Cai; Ruiqi Wang; Dezhong Zhao; Ziqin Yuan; Victoria McKenna; Aaron Friedman; Rachel Foot; Susan Storey; Ryan Boente; Sudip Vhaduri; Byung-Cheol Min (CoRR, 2024)

Sound Classification of Four Insect Classes. - Yinxuan Wang; Sudip Vhaduri (CoRR, 2024)

mWIoTAuth: Multi-wearable data-driven implicit IoT authentication. - Sudip Vhaduri; Sayanton V. Dibbo; Alexa Muratyan; William Cheung 002 (Future Gener. Comput. Syst., 2024)

Bag of On-Phone ANNs to Secure IoT Objects Using Wearable and Smartphone Biometrics. - Sudip Vhaduri; William Cheung 002; Sayanton V. Dibbo (IEEE Trans. Dependable Secur. Comput., 2024)

Challenges and Opportunities of Biometric User Authentication in the Age of IoT: A Survey. - Chi-Wei Lien; Sudip Vhaduri (ACM Comput. Surv., 2024)

A Comprehensive Survey of Challenges and Opportunities of Few-Shot Learning Across Multiple Domains. - Andrea Gajic; Sudip Vhaduri (CoRR, 2025)