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ORCIDMohammad Arif Ul Alam
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2020 – today
- 2024
[c30]Mohammad Arif Ul Alam, Madhavi Pagare, Susan Davis, Geeta Verma, Ashis Kumer Biswas, Justin Barbern:
Empowering Predictions of the Social Determinants of Mental Health through Large Language Model Augmentation in Students' Lived Experiential Essays. EDM 2024- [c29]Nazim A. Belabbaci, Mohammad Arif Ul Alam:
HydroTrack: Spectroscopic Analysis Prototype Enabling Real-Time Hydration Monitoring in Wearables. EMBC 2024: 1-4 - [c28]Yidong Zhu, Nadia B. Aimandi, Mohammad Arif Ul Alam:
Enhancing Wearable based Real-Time Glucose Monitoring via Phasic Image Representation Learning based Deep Learning. EMBC 2024: 1-4 - [c27]Forsad Al Hossain
, M. Tanjid Hasan Tonmoy, Andrew A. Lover, George A. Corey, Mohammad Arif Ul Alam, Tauhidur Rahman:
Crowdotic: A Privacy-Preserving Hospital Waiting Room Crowd Density Estimation with Non-speech Audio. HotMobile 2024: 79-85 - [i19]Yidong Zhu, Nadia B. Aimandi, Mohammad Arif Ul Alam:
Enhancing Wearable based Real-Time Glucose Monitoring via Phasic Image Representation Learning based Deep Learning. CoRR abs/2406.16926 (2024) - [i18]Nazim A. Belabbaci, Mohammad Arif Ul Alam:
HydroTrack: Spectroscopic Analysis Prototype Enabling Real-Time Hydration Monitoring in Wearables. CoRR abs/2407.11997 (2024) - 2023
- [c26]Mohammad Arif Ul Alam:
Internet of Things Fault Detection and Classification via Multitask Learning. EWSN 2023: 90-93 - [c25]Md Mahmudur Rahman, Rameswar Panda, Mohammad Arif Ul Alam:
Semi-Supervised Domain Adaptation with Auto-Encoder via Simultaneous Learning. WACV 2023: 402-411 - [i17]Yidong Zhu, Md Mahmudur Rahman, Mohammad Arif Ul Alam:
Augmenting Deep Learning Adaptation for Wearable Sensor Data through Combined Temporal-Frequency Image Encoding. CoRR abs/2307.00883 (2023) - [i16]Mohammad Arif Ul Alam:
Internet of Things Fault Detection and Classification via Multitask Learning. CoRR abs/2307.01234 (2023) - [i15]Sharmin Sultana, Md Mahmudur Rahman, Atqiya Munawara Mahi, Shao-Hsien Liu, Mohammad Arif Ul Alam:
Unbiased Pain Assessment through Wearables and EHR Data: Multi-attribute Fairness Loss-based CNN Approach. CoRR abs/2307.05333 (2023) - [i14]Forsad Al Hossain, M. Tanjid Hasan Tonmoy, Andrew A. Lover, George A. Corey, Mohammad Arif Ul Alam, Tauhidur Rahman:
Crowdotic: A Privacy-Preserving Hospital Waiting Room Crowd Density Estimation with Non-speech Audio. CoRR abs/2309.10280 (2023) - 2022
- [c24]Mohammad Arif Ul Alam:
College Student Retention Risk Analysis from Educational Database Using Multi-Task Multi-Modal Neural Fusion. AAAI 2022: 12689-12697 - [c23]Vaishali Mahipal, Mohammad Arif Ul Alam:
Estimating Heterogeneous Causal Effect of Polysubstance Usage on Drug Overdose from Large-Scale Electronic Health Record. EMBC 2022: 1028-1031 - [c22]James O. Sullivan, Mohammad Arif Ul Alam:
PhysioGait: Context-Aware Physiological Context Modeling for Person Re-identification Attack on Wearable Sensing. MSN 2022: 331-338 - [i13]Md Mahmudur Rahman, Rameswar Panda, Mohammad Arif Ul Alam:
Semi-Supervised Domain Adaptation with Auto-Encoder via Simultaneous Learning. CoRR abs/2210.09486 (2022) - [i12]Md Mahmudur Rahman, Mahta Mousavi, Peri Tarr, Mohammad Arif Ul Alam:
Enabling Heterogeneous Domain Adaptation in Multi-inhabitants Smart Home Activity Learning. CoRR abs/2210.09499 (2022) - [i11]James O. Sullivan, Mohammad Arif Ul Alam:
PhysioGait: Context-Aware Physiological Context Modeling for Person Re-identification Attack on Wearable Sensing. CoRR abs/2211.02622 (2022) - 2021
- [j3]Mohammad Arif Ul Alam, Nirmalya Roy, Archan Misra:
Tracking and Behavior Augmented Activity Recognition for Multiple Inhabitants. IEEE Trans. Mob. Comput. 20(1): 247-262 (2021) - [c21]Mohammad Arif Ul Alam:
Activity-Aware Deep Cognitive Fatigue Assessment using Wearables. EMBC 2021: 7433-7436 - [c20]Mohammad Arif Ul Alam, Md Mahmudur Rahman, Jared Q. Widberg:
PALMAR: Towards Adaptive Multi-inhabitant Activity Recognition in Point-Cloud Technology. INFOCOM 2021: 1-10 - [c19]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. IROS 2021: 1267-1273 - [c18]Nandan Kulkarni, Christopher Compton, Jooseppi Luna, Mohammad Arif Ul Alam:
A Non-Invasive Context-Aware Dehydration Alert System. HotMobile 2021: 157-159 - [i10]Mohammad Arif Ul Alam:
Activity-Aware Deep Cognitive Fatigue Assessment using Wearables. CoRR abs/2105.02824 (2021) - [i9]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. CoRR abs/2105.05010 (2021) - [i8]Vaishali Mahipal, Mohammad Arif Ul Alam:
Heterogeneous Causal Effect of Polysubstance Usage on Drug Overdose. CoRR abs/2105.07224 (2021) - [i7]Mohammad Arif Ul Alam:
Person Re-identification Attack on Wearable Sensing. CoRR abs/2106.11900 (2021) - [i6]Mohammad Arif Ul Alam, Md Mahmudur Rahman, Jared Q. Widberg:
PALMAR: Towards Adaptive Multi-inhabitant Activity Recognition in Point-Cloud Technology. CoRR abs/2106.11902 (2021) - [i5]Mohammad Arif Ul Alam:
College Student Retention Risk Analysis From Educational Database using Multi-Task Multi-Modal Neural Fusion. CoRR abs/2109.05178 (2021) - 2020
- [c17]Mohammad Arif Ul Alam, Fernando Mazzoni, Md Mahmudur Rahman, Jared Q. Widberg:
LAMAR: LiDAR based Multi-inhabitant Activity Recognition. MobiQuitous 2020: 1-9 - [c16]Mohammad Arif Ul Alam:
AI-Fairness Towards Activity Recognition of Older Adults. MobiQuitous 2020: 108-117 - [c15]Mohammad Arif Ul Alam, Nirmalya Roy, Sarah Holmes, Aryya Gangopadhyay, Elizabeth Galik:
AutoCogniSys: IoT Assisted Context-Aware Automatic Cognitive Health Assessment. MobiQuitous 2020: 184-195 - [c14]Mohammad Arif Ul Alam, Nabil Alshurafa, Ahmad Salman, Abhishek Mukherji, Hiro Takagi:
Panel: Evolving IoT Tech Enables Aging in Place. PerCom Workshops 2020: 1-2 - [c13]Mohammad Arif Ul Alam, Dhawal Kapadia:
LAXARY: A Trustworthy Explainable Twitter Analysis Model for Post-Traumatic Stress Disorder Assessment. SMARTCOMP 2020: 308-313 - [i4]Mohammad Arif Ul Alam, Dhawal Kapadia:
LAXARY: A Trustworthy Explainable Twitter Analysis Model for Post-Traumatic Stress Disorder Assessment. CoRR abs/2003.07433 (2020) - [i3]Mohammad Arif Ul Alam, Nirmalya Roy, Sarah Holmes, Aryya Gangopadhyay, Elizabeth Galik:
AutoCogniSys: IoT Assisted Context-Aware Automatic Cognitive Health Assessment. CoRR abs/2003.07492 (2020) - [i2]Nandan Kulkarni, Christopher Compton, Jooseppi Luna, Mohammad Arif Ul Alam:
Monitoring My Dehydration: A Non-Invasive Dehydration Alert System Using Electrodermal Activity. CoRR abs/2009.13626 (2020)
2010 – 2019
- 2019
- [c12]Mohammad Arif Ul Alam, Aliza Heching, Nicola Palmarini:
Scaling Longitudinal Functional Health Assessment in Multi-Inhabitant Smarthome. ICDCS 2019: 2206-2216 - [i1]Lee Martie, Mohammad Arif Ul Alam, Gaoyuan Zhang, Ryan R. Anderson:
Reflecting After Learning for Understanding. CoRR abs/1910.08243 (2019) - 2017
- [j2]Mohammad Arif Ul Alam, Nirmalya Roy, Aryya Gangopadhyay, Elizabeth Galik:
A smart segmentation technique towards improved infrequent non-speech gestural activity recognition model. Pervasive Mob. Comput. 34: 25-45 (2017) - [c11]Mohammad Arif Ul Alam, Nirmalya Roy:
Unseen Activity Recognitions: A Hierarchical Active Transfer Learning Approach. ICDCS 2017: 436-446 - [c10]Joseph Taylor, H. M. Sajjad Hossain, Mohammad Arif Ul Alam, Md Abdullah Al Hafiz Khan, Nirmalya Roy, Elizabeth Galik, Aryya Gangopadhyay:
SenseBox: A low-cost smart home system. PerCom Workshops 2017: 60-62 - [c9]Mohammad Arif Ul Alam:
Context-aware multi-inhabitant functional and physiological health assessment in smart home environment. PerCom Workshops 2017: 99-100 - [c8]Mohammad Arif Ul Alam, Nirmalya Roy:
Single BSN-based multi-label activity recognition. PerCom Workshops 2017: 691-696 - [p1]Mohammad Arif Ul Alam, Nirmalya Roy, Aryya Gangopadhyay, Elizabeth Galik:
Infrequent Non-speech Gestural Activity Recognition Using Smart Jewelry: Challenges and Opportunities for Large-Scale Adaptation. Handbook of Large-Scale Distributed Computing in Smart Healthcare 2017: 443-471 - 2016
- [c7]Mohammad Arif Ul Alam, Nirmalya Roy, Sarah Holmes, Aryya Gangopadhyay, Elizabeth Galik:
Automated Functional and Behavioral Health Assessment of Older Adults with Dementia. CHASE 2016: 140-149 - [c6]Mohammad Arif Ul Alam, Nirmalya Roy, Archan Misra, Joseph Taylor:
CACE: Exploiting Behavioral Interactions for Improved Activity Recognition in Multi-inhabitant Smart Homes. ICDCS 2016: 539-548 - [c5]Mohammad Arif Ul Alam, Nirmalya Roy, Michelle Petruska, Andrea Zemp:
Smart-energy group anomaly based behavioral abnormality detection. Wireless Health 2016: 38-45 - 2015
- [j1]Mohammad Arif Ul Alam, Nilavra Pathak, Nirmalya Roy:
Mobeacon: An iBeacon-Assisted Smartphone-Based Real Time Activity Recognition Framework. EAI Endorsed Trans. Ubiquitous Environ. 2(7): e2 (2015) - 2014
- [c4]Aaron Zaffke, Niharika Jain, Norah Johnson, Mohammad Arif Ul Alam, Marta Magiera, Sheikh Iqbal Ahamed:
iCanLearn: A Mobile Application for Creating Flashcards and Social Stories™ for Children with Autism. ICOST 2014: 225-230 - [c3]Mohammad Arif Ul Alam, Nirmalya Roy:
GeSmart: A gestural activity recognition model for predicting behavioral health. SMARTCOMP 2014: 193-200 - 2013
- [c2]Drew Williams, Mohammad Arif Ul Alam, Sheikh Iqbal Ahamed, William C. Chu:
Considerations in Designing Human-Computer Interfaces for Elderly People. QSIC 2013: 372-377 - [c1]Farzana Rahman, Md. Endadul Hoque, Sheikh Iqbal Ahamed, Mohammad Arif Ul Alam:
Preserving User Privacy in Pervasive Environments with a Collaborative Model. SERE (Companion) 2013: 84-93
Coauthor Index
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