Publications

Book chapters or sections

Connor Sullivan, Yigit Bozkurt, Ariel Shranko, Teresa Gonzales, Robin Toof, Ramaswamy Nagarajan, Benyuan Liu, Xiaoqi Zhang, Yu Cao Mohammad Arif Ul Alam, Pradeep Kurup,Educating and Training Students and Community Members as Citizen Scientists for Monitoring Drinking Water Quality, Engaging Chemistry Students with Real-World Context: Volume 2, American Chemical Society (ACS), 2023. View

Mohammad Arif Ul Alam, N. Roy, A. Gangopadhya, E. Galik, Infrequent Non-Speech Gestural Activity Recognition using Smart Jewelery: Challenges and Opportunities for Large Scale Adaptation, Handbook of Large-Scale Distributed Computing in Smart Healthcare, Springer 2016. View

Articles in journals or magazines

Mohammad Anwar Ul Alam, Mhamuda Khatun, Mohammad Arif Ul Alam , Recent Trend of Nanotechnology Applications to Improve Bio-accessibility of Lycopene by Nanocarrier: A Review, Journal of Food Chemistry & Nanotechnology, Volume 8 Issue 4, 2023 View
Md Mahmudur Rahman, Atqiya Munawara Mahi, Rachel Melamed, Mohammad Arif Ul Alam , Effects of Antidepressants on COVID-19 Outcomes: Retrospective Study on Large-Scale Electronic Health Record Data, Journal of Medical Internet Research, (JMIR), 2023. View
Ainat Koren, Mohammad Arif Ul Alam , Sravani Koneru, Alexa DeVito, Lisa Abdallah, Benyuan Liu, Nursing Perspectives on The Impacts of COVID-19: A Social Media Analytics Approach, Journal of Medical Internet Research, (JMIR), 2021. View
Mohammad Arif Ul Alam, Nirmalya Roy, Archan Misra, Tracking and Behavior Augmented Activity Recognition for Multiple Inhabitants, IEEE Transactions on Mobile Computing 2019 (TMC) (Impact Factor 6.075) View
Mohammad Arif Ul Alam, Nirmalya Roy, Aryya Gangopadhyay, Elizabeth Galik, A Smart Segmentation Technique Towards Improved Infrequent Non-Speech Gestural Activity Recognition Model, Pervasive and Mobile Computing (PMC) Special Issue on Gerontechnology (June 2016) (Impact Factor 4.41).View
Mohammad Arif Ul Alam, Nilavra Pathak, Nirmalya Roy, Mobeacon: An iBeacon-Assisted smart-phone-Based Real Time Activity Recognition Framework, 12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, EAI Endorsed Transactions on Ubiquitous Environments, January, 2016.View

Articles in conference proceedings

2024

Sharmin Sultana, Yidong Zhu, Shao-Hsien Liu, Mohammad Arif Ul Alam, Wearable-based Fair and Accurate Pain Assessment Using Multi-Attribute Fairness Loss in Convolutional Neural Networks, 21st EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2024, Oslo, Norway, November 12-14, 2024
Nazim Ahmed Belabbaci, Mohammad Arif Ul Alam, A Two-Step Deep Neural Network Approach for Real-Time Context-Aware Health Monitoring of Hajj Pilgrims, 21st EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2024, Oslo, Norway, November 12-14, 2024
Madhavi S Pagare, Inyene Essien Aleksi, Atqiya Munawara Mahi, Mohammad Arif Ul Alam, Finding Causal Impacts of Social Determinants of Mental Health on Opioid Use Disorder from Clinical Notes, The IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2024
Yidong Zhu, Nadia Aimandi, Md Mahmudur Rahman, Mohammad Arif Ul Alam, Enhancing Wearable Sensor Data Classification Through Novel Modified-Recurrent Plot-Based Image Representation and Mixup Augmentationn, AMIA Annual Symposium, 2024
Mahmudur Rahman, Atqiya Munawara Mahi, Sharmin Sultana, Matthew M Churpek, Mohammad Arif Ul Alam, Detection of Short-Form Video Addiction with Wearable Sensors via Temporally-Coherent Domain Adaptation, AMIA Annual Symposium, 2024
Nazim Ahmed Belabbaci, Mohammad Arif Ul Alam, HydroTrack: Spectroscopic Analysis Prototype Enabling Real-Time Hydration Monitoring in Wearables, 46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, (IEEE EMBC 2024) View
Yidong Zhu, Nadia Aimandi, Mohammad Arif Ul Alam, Enhancing Wearable Based Real-Time Glucose Monitoring via Phasic Image Representation Learning Based Deep Learning, 46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, (IEEE EMBC 2024) View
Mohammad Arif Ul Alam, Madhavi Pagare, Susan Davis, Geeta Verma, Ashis Biswas and Justin Barbern,Empowering Predictions of the Social Determinants of Mental Health through Large Language Model Augmentation in Students' Lived Experiential Essays, 17th International Conference on Educational Data Mining 2024, (EDM 2024) View
Forsad Al Hossain, Tanjid Hasan Tonmoy, Andrew A Lover, George A Corey, Mohammad Arif Ul Alam, Tauhidur Rahman, Crowdotic: Transformer-based Occupancy Estimation for Hospital Waiting Rooms with Non-speech Audio and Differential Privacy, The 25th International Workshop on Mobile Computing Systems and Applications, (Hotmobile 2024) View

2023

Mohammad Arif Ul Alam, Atqiya Munawara Mahi, Md Mahmudur Rahman, Saima Alam, Anthony Nunes, Long‐COVID causal impacts on cognitive ability of mild‐cognitive impaired population from large‐scale electronic health record using heterogeneous causal effect model , Alzheimer's & Dementia, (AAIC 2023) View
Nazim Belabbaci, Joao Rosa, Mohammad Arif Ul Alam, Brain-Controlled Robot for Assisting Basic Upper Limb Tasks, IEEE-EMBS International Conference on Body Sensor Networks: Sensor and Systems for Digital Health (IEEE BSN 2023) View
Mohammad Arif Ul Alam, Internet of Things Fault Detection and Classification via Multitask Learning, International Conference on Embedded Wireless Systems and Networks, (EWSN 2023) View
Md Mahmudur Rahman, Rameswar Panda, Mohammad Arif Ul Alam, Semi-Supervised Domain Adaptation with Auto-Encoder via Simultaneous Learning, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2023) View

2022

Md Mahmudur Rahman, Mahta Mousavi, Peri Tarr and Mohammad Arif Ul Alam, Enabling Heterogeneous Domain Adaptation in Multi-inhabitants Smart Home Activity Learning, The 18th International Conference on Mobility, Sensing and Networking (IEEE MSN 2022) View
James Osullivan, Mohammad Arif Ul Alam, PhysioGait: Context-Aware Physiological Context Modeling for Person Re-identification Attack on Wearable Sensing, The 18th International Conference on Mobility, Sensing and Networking (IEEE MSN 2022) View
Mohammad Arif Ul Alam, Atqiya Munawara Mahi, Md Mahmudur Rahman, Saima Alam, Anthony Nunes, Long-COVID Impact Analysis on Mild Cognitive Impaired Population using Big Observational Data, Alzheimer's Association International Conference 2022 ( AAIC 2022 ) View
Vaishali Mahipal, Mohammad Arif Ul Alam, Estimating Heterogeneous Causal Effect of Polysubstance Usage on Drug Overdose from Large-Scale Electronic Health Record, 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE EMBC, 2022 View
Mohammad Arif Ul Alam, College Student Retention Risk Analysis From Educational Database using Multi-Task Multi-Modal Neural Fusion, Twelfth AAAI Symposium on Educational Advances in Artificial Intelligence under 36th AAAI Conference on Artificial Intelligence (AAAI) 2022 , AAAI 2022 (EAAI 2022)
View

2021

Mohammad Arif Ul Alam, Activity-Aware Deep Cognitive Fatigue Assessment using Wearables, 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE EMBC, 2021
View
Md Mahmudur Rahman, Tauhidur Rahman, Dongyun 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 ) . View
Mohammad Arif Ul Alam, Md Mahmudur Rahman, Fernando Mazzoni, Jared Widberg, PALMAR: Towards Adaptive Multi-inhabitant Activity Recognition in Point-Cloud Technology, IEEE International Conference on Computer Communications (IEEE Infocom 2021). (Acceptance Rate 19%) View
Nandan Kulkarni, Christopher Compton, Jooseppi Luna, Mohammad Arif Ul Alam, A Non-Invasive Context-Aware Dehydration Alert System, Hotmobile, 2021 View

2020

Samuel Claflin, Mohammad Arif Ul Alam, A Low-Cost Radar-based Domain Adaptive Breast Cancer Screening System, IEEE MIT Undergraduate Research Technical Conference (MIT URTC) 2020. View
Mohammad Arif Ul Alam, Md Mahmudur Rahman, Fernando Mazzoni, Jared Widberg, LAMAR: Lidar based Multi-inhabitant Activity Recognition, 17th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (Mobiquitous 2020). View
Mohammad Arif Ul Alam, Sarah Holmes, Nirmalya Roy, A. Gangopadhya, E. Galik, AutoCogniSys: IotAssisted Cognitive Health Assessment of Older Adults, arXiv:2003.07492, 17th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (Mobiquitous 2020). View
Mohammad Arif Ul Alam, AI-Fairness Towards Activity Recognition of Older Adults, 17th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (Mobiquitous 2020). View
Mohammad Arif Ul Alam, Dhawal Kapadia, LAXARY: A Trustworthy Explainable Twitter Analysis Model for Post-Traumatic Stress Disorder Assessment, 7th IEEE International Conference on Smart Computing (SmartComp 2020), SmartSys, arXiv:2003.07433 View

2019

Mohammad Arif Ul Alam, Aliza Heching, Nicola Palmarini, Scaling Longitudinal Functional Health Assessment in Multi-Inhabitant Smarthome, IEEE International Conference on Distributed Computing Systems (ICDCS 2019) (25% acceptance rate) View
Lee Martie, Mohammad Arif Ul Alam, Gaoyuan Zhang, Ryan Anderson , Reflecting after Learning for Understanding, Seventh Annual Conference on Advances in Cognitive Systems (ACS), 2019. View

2017

Mohammad Arif Ul Alam, Nirmalya Roy, Unseen Activity Recognition: A Hierarchical Active Transfer Learning Approach, 37th International Conference on Distributed Computing Systems (ICDCS 2017) (acceptance rate <17%) View
Mohammad Arif Ul Alam, Context-Aware Multi-Inhabitant Functional and Physiological Health Assessment in Smart Home Environment, Ph.D Forum, Percom 2017. View
Mohammad Arif Ul Alam, Nirmalya Roy, Single BSN-Based Multi-Label Activity Recognition, Percom 2017, WristSense 2017. View

2016

Mohammad Arif Ul Alam, Nirmalya Roy, Michelle Petruska, Andrea Zemp, Smart-Energy Group Anomaly Based Behavioral Abnormality Detection, IEEE Wireless Health Conference 2016, WH, Washington DC, USA. (Full paper acceptance rate 18%)View
Mohammad Arif Ul Alam, Nirmalya Roy, Archan Misra, Joseph Taylor, CACE: Exploiting Behavioral Interactions for Improved Activity Recognition in Multi-Inhabitant Smart Homes, 36th International Conference on Distributed Computing Systems, ICDCS 2016, Nara, Japan (acceptance rate 17%)View
Mohammad Arif Ul Alam, Nirmalya Roy, Sarah Holmes, Aryya Gangopadhyay, Elizabeth Galik, Automated Functional and Behavioral Health Assessment of Older Adults with Dementia, IEEE Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2016, Washington DC, USA View

2015

Mohammad Arif Ul Alam, Nilavra Pathak, Nirmalya Roy, Mobeacon: An iBeacon-Assisted smart-phone-Based Real Time Activity Recognition Framework, 12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, Mobiquitous 2015, Coimbra, Portugal (acceptance rate 27%) View
Mohammad Arif Ul Alam, Nirmalya Roy, GeSmart: A Gestural Activity Recognition Model for Predicting Behavioral Health, International Conference on Smart Computing, SmartComp 2014, Hong Kong View

2014

Aaron Zaffke, Niharika Jain, Norah Johnson, Mohammad Arif Ul Alam, Marta Magiera, Sheikh Ahamed, A Mobile Application for Creating Flashcards and Social Stories™ for Children with Autism, International Conference On Smart homes and health Telematics, ICOST, 2014 View

2013

Mohammad Arif Ul Alam, Weiqiang Wang, Sheikh Iqbal Ahamed, William Chu, Elderly Safety: A Smartphone Based Real Time Approach, International Conference On Smart homes and health Telematics, ICOST, 2013 View
Drew Williams, Mohammad Arif Ul Alam, Sheikh Iqbal Ahamed, William Chu, Considerations in Designing Human-Computer Interfaces for Elderly People, International Conference on Quality Software,2013, QSIC/SQHE View
Farzana Rahman ; M Endadul Hoque, Sheikh Iqbal Ahamed, Mohammad Arif Ul Alam, Preserving User Privacy in Pervasive Environments with a Collaborative Model, International Conference on Software Security and Reliability, 2013, SERE/SSIRI View
Rong Ge, Ryan Vogt, Jahangir Alam Majumder, Mohammad Arif Ul Alam, Effects of Dynamic Voltage and Frequency Scaling on a K20 GPU, International Workshop on Power-aware Algorithms, Systems, and Architectures, 2013 View

Patents

Nirmalya Roy, Sajjad Hossain and Mohammad Arif Ul Alam, Scalable Activity Recognition for Independent Living Applications, UMBC Ref. No. 2015-004
sann Marie Keohane, Scott Gerard, Aliza Heching, Samuel Scott Adams, Mohammad Arif Ul Alam, System to map and interpret sensors firing patterns in a physical space to identifying causes of anomalies
Mohammad Arif Ul Alam, Scott Gerard, Susann Marie Keohane, Aliza Heching, Cognitive Stress Assessment
Scott Gerard, Susann Marie Keohane, Aliza Heching, Mohammad Arif Ul Alam, Sensor2Vec: Aggregating sensor data to construct a home-independent sensor vector for improved machine learning
Scott Gerard, Susann Marie Keohane, Aliza Heching, Mohammad Arif Ul Alam, Interpreting Sensor Transmission Patterns To Analyze Anomalies in a Smart Environment
Peter Fay, Mohammad Arif Ul Alam, Lee Martie, Gaoyuan Zhang, Nicola Palmarini, Dynamic Personalization of Mobile Device for People with Disabilities

Invited Talks

Invited Speaker: Mohammad Arif Ul Alam, “Super-Humanoid Robotics,”IEEE TENSYMP, Dhaka, Bangladesh, June 6, 2020
Invited Speaker: Mohammad Arif Ul Alam, “Smarthome-based Elderly Care,”INFORMS, Northeastern University Chapter, Boston, USA, 2018
Panel Host: Mohammad Arif Ul Alam, “Evolving IoT Techn Enables Aging in Place” IEEE PerIoT, Austin, Texas, USA, 2020

Services

Chair/Co-Chair

IEEE PerIoT 2021
Technical Program Committee

IEEE MSN 2021, 2022 (Edge Computing)

IEEE ICDCS 2020 (Edge Computing)

IEEE Percom 2020 (Industry Track)

IEEE SmartComp 2020

IEEE PerIoT 2020
Panelist

National Science Foundation, 2020