Sleep Well: A Sound Sleep Monitoring Framework for Community Scaling. - H. M. Sajjad Hossain; Nirmalya Roy; Md Abdullah Al Hafiz Khan (MDM (1), 2015)

SensePresence: Infrastructure-Less Occupancy Detection for Opportunistic Sensing Applications. - Md Abdullah Al Hafiz Khan; H. M. Sajjad Hossain; Nirmalya Roy (MDM (2), 2015)

Demo abstract: A microphone sensor based system for green building applications. - Md Abdullah Al Hafiz Khan; Sheung Lu; Nirmalya Roy; Nilavra Pathak (PerCom Workshops, 2015)

Acoustic based appliance state identifications for fine-grained energy analytics. - Nilavra Pathak; Md Abdullah Al Hafiz Khan; Nirmalya Roy (PerCom, 2015)

Infrastructure-less Occupancy Detection and Semantic Localization in Smart Environments. - Md Abdullah Al Hafiz Khan; H. M. Sajjad Hossain; Nirmalya Roy (EAI Endorsed Trans. Context aware Syst. Appl., 2015)

RAM: Radar-based activity monitor. - Md Abdullah Al Hafiz Khan; Ruthvik Kukkapalli; Piyush Waradpande; Sekar Kulandaivel; Nilanjan Banerjee; Nirmalya Roy; Ryan W. Robucci (INFOCOM, 2016)

COAR: Collaborative and Opportunistic Human Activity Recognition. - Md Abdullah Al Hafiz Khan; Nirmalya Roy; H. M. Sajjad Hossain (DCOSS, 2017)

SoccerMate: A personal soccer attribute profiler using wearables. - H. M. Sajjad Hossain; Md Abdullah Al Hafiz Khan; Nirmalya Roy (PerCom Workshops, 2017)

TransAct: Transfer learning enabled activity recognition. - Md Abdullah Al Hafiz Khan; Nirmalya Roy (PerCom Workshops, 2017)

SenseBox: A low-cost smart home system. - Joseph Taylor; H. M. Sajjad Hossain; Mohammad Arif Ul Alam; Md Abdullah Al Hafiz Khan; Nirmalya Roy; Elizabeth Galik; Aryya Gangopadhyay (PerCom Workshops, 2017)

Active learning enabled activity recognition. - H. M. Sajjad Hossain; Md Abdullah Al Hafiz Khan; Nirmalya Roy (Pervasive Mob. Comput., 2017)

UnTran: Recognizing Unseen Activities with Unlabeled Data Using Transfer Learning. - Md Abdullah Al Hafiz Khan; Nirmalya Roy (IoTDI, 2018)

Scaling Human Activity Recognition via Deep Learning-based Domain Adaptation. - Md Abdullah Al Hafiz Khan; Nirmalya Roy; Archan Misra (PerCom, 2018)

Firearm Detection Using Wrist Worn Tri-Axis Accelerometer Signals. - Md Abdullah Al Hafiz Khan; David Welsh; Nirmalya Roy (PerCom Workshops, 2018)

DeActive: Scaling Activity Recognition with Active Deep Learning. - H. M. Sajjad Hossain; Md Abdullah Al Hafiz Khan; Nirmalya Roy (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

Wearable Sensor-Based Location-Specific Occupancy Detection in Smart Environments. - Md Abdullah Al Hafiz Khan; Nirmalya Roy; H. M. Sajjad Hossain (Mob. Inf. Syst., 2018)

An Active Sleep Monitoring Framework Using Wearables. - H. M. Sajjad Hossain; Sreenivasan Ramasamy Ramamurthy; Md Abdullah Al Hafiz Khan; Nirmalya Roy (ACM Trans. Interact. Intell. Syst., 2018)

Improving Disease Named Entity Recognition for Clinical Trial Matching. - Md Abdullah Al Hafiz Khan; Nevenka Dimitrova; Md. Shamsuzzaman; Sadid A. Hasan; Mohammad S. Sorower; Joey Liu; Vivek V. Datla; Mladen Milosevic; Gabe Mankovich; Rob van Ommering (BIBM, 2019)

BoostER: A Performance Boosting Module for Biomedical Entity Recognition. - Rahul Pandey; Rob van Ommering; Nevenka Dimitrova; Md. Shamsuzzaman; Sadid A. Hasan; Mohammad S. Sorower; Md Abdullah Al Hafiz Khan; Joey Liu; Vivek V. Datla; Mladen Milosevic; Gabe Mankovich (BIBM, 2019)

AugToAct: scaling complex human activity recognition with few labels. - Abu Zaher Md Faridee; Md Abdullah Al Hafiz Khan; Nilavra Pathak; Nirmalya Roy (MobiQuitous, 2019)

Gunshot Recoil Dataset. - David Welsh; Md Abdullah Al Hafiz Khan; Nirmalya Roy (IEEE DataPort, 2021)

An Ensembled Method For Diabetic Retinopathy Classification using Transfer Learning. - Dinesh Chowdary Attota; Durga Nagarjuna Tadikonda; Shruthi Pethe; Md Abdullah Al Hafiz Khan (COMPSAC, 2022)

Mental workload classification from non-invasive fNIRs signals through deep convolutional neural network. - Vamsi Krishna Dhulipalla; Md Abdullah Al Hafiz Khan (COMPSAC, 2022)

Cross-Domain Unseen Activity Recognition Using Transfer Learning. - Md Abdullah Al Hafiz Khan; Nirmalya Roy (COMPSAC, 2022)

MRehab: Mutlimodal data acquisition and modeling framework for assessing stroke and cardiac rehabilitation exercises. - Md Abdullah Al Hafiz Khan; Hossain Shahriar (COMPSAC, 2022)

Reinforcement Learning Agent for Path Planning with Expert Demonstration. - Alan Norkham; Mikalus Chalupa; Noah Gardner; Md Abdullah Al Hafiz Khan; Xinyue Zhang 001; Chih-Cheng Hung (COMPSAC, 2022)

Detecting Motor Imagery Movement from EEG Signal. - Abm. Adnan Azmee; Manohar Murikipudi; Md Abdullah Al Hafiz Khan (ACM Southeast Regional Conference, 2023)

Comparison of Long Short-Term Memory Networks and Temporal Convolutional Networks for Sentiment Analysis. - Samuel Hekman; Meghan Brock; Md Abdullah Al Hafiz Khan; Xinyue Zhang 001 (ACM Southeast Regional Conference, 2023)

Domain-Enhanced Attention Enabled Deep Network for Behavioral Health Identification from 911 Narratives. - Abm. Adnan Azmee; Martin Brown; Md Abdullah Al Hafiz Khan; Dominic Thomas; Yong Pei; Monica Nandan (IEEE Big Data, 2023)

Sentence Level Analysis for Detecting Mental Health Causes Using Social Media Posts. - Abm. Adnan Azmee; Manohar Murikipudi; Md Abdullah Al Hafiz Khan; Yong Pei (COMPSAC, 2023)

Detection of Behavioral Health Cases from Sensitive Police Officer Narratives. - Martin Brown; Md Abdullah Al Hafiz Khan; Dominic Thomas; Yong Pei; Monica Nandan (COMPSAC, 2023)

Post-stroke Exercise Assessment using Hybrid Quantum Neural Network. - Md Abdullah Al Hafiz Khan; Manohar Murikipudi; Abm. Adnan Azmee (COMPSAC, 2023)

CMTN: A Convolutional Multi-Level Transformer to Identify Suicidal Behaviors Using Clinical Notes. - Manohar Murikipudi; Abm. Adnan Azmee; Md Abdullah Al Hafiz Khan; Yong Pei (COMPSAC, 2023)

Unsupervised Spatio-Temporal Anomalous Thermal Behavior Monitoring of Inside-Built Environments. - Naima Khan; Md Abdullah Al Hafiz Khan; Nirmalya Roy (DCOSS-IoT, 2023)

Automated Alphabet Detection from Brain Waves. - Christopher Dargan; Francis Nweke; Md Abdullah Al Hafiz Khan; Abm. Adnan Azmee; Yong Pei (ACM Southeast Regional Conference, 2024)

Large Language Models Performance Comparison of Emotion and Sentiment Classification. - William Stigall; Md Abdullah Al Hafiz Khan; Dinesh Chowdary Attota; Francis Nweke; Yong Pei (ACM Southeast Regional Conference, 2024)

Domain Knowledge-Driven Multi-Label Behavioral Health Identification from Police Report. - Abm. Adnan Azmee; Francis Nweke; Md Abdullah Al Hafiz Khan; Yong Pei; Dominic Thomas; Monica Nandan (IEEE Big Data, 2024)

Explainable Multi-Label Classification Framework for Behavioral Health Based on Domain Concepts. - Francis Nweke; Abm. Adnan Azmee; Md Abdullah Al Hafiz Khan; Yong Pei; Dominic Thomas; Monica Nandan (IEEE Big Data, 2024)

Combined Correlational Network for Identifying Behavioral Health Cases from First Responder Report. - Mason Pederson; Abm. Adnan Azmee; Francis Nweke; Md Abdullah Al Hafiz Khan; Yong Pei; Dominic Thomas; Monica Nandan (IEEE Big Data, 2024)

Demo: CaseFinder: Automated Visual and Quantitative Analysis Tool for Police Narrative. - Martin Brown; Dominic Thomas; Md Abdullah Al Hafiz Khan; Abm. Adnan Azmee; Monica Nandan; Yang Pei (CHASE, 2024)

Poster: Extracting and Annotating Mental Health Forum Corpus: A Comprehensive Validation Pipeline. - Rohith Sundar Jonnalagadda; Abm. Adnan Azmee; Dinesh Chowdary Attota; Md Abdullah Al Hafiz Khan; Yong Pei; Monica Nandan (CHASE, 2024)

CBSA: A Deep Transfer Learning Framework for Assessing Post-Stroke Exercises. - Manohar Murikipudi; Abm. Adnan Azmee; Md Abdullah Al Hafiz Khan; Yong Pei (CHASE, 2024)

Multi-Label Behavioral Health Classification from Police Narrative Report. - Abm. Adnan Azmee; Francis Nweke; Md Abdullah Al Hafiz Khan; Yong Pei; Dominic Thomas; Monica Nandan (ICMLA, 2024)