Mohammad Arif Ul Alam

Orcid: 0000-0002-2240-0916

According to our database1, Mohammad Arif Ul Alam authored at least 41 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
HydroTrack: Spectroscopic Analysis Prototype Enabling Real-Time Hydration Monitoring in Wearables.
CoRR, 2024

Enhancing Wearable based Real-Time Glucose Monitoring via Phasic Image Representation Learning based Deep Learning.
CoRR, 2024

Crowdotic: A Privacy-Preserving Hospital Waiting Room Crowd Density Estimation with Non-speech Audio.
Proceedings of the 25th International Workshop on Mobile Computing Systems and Applications, 2024

Empowering Predictions of the Social Determinants of Mental Health through Large Language Model Augmentation in Students' Lived Experiential Essays.
Proceedings of the 17th International Conference on Educational Data Mining, 2024

2023
Unbiased Pain Assessment through Wearables and EHR Data: Multi-attribute Fairness Loss-based CNN Approach.
CoRR, 2023

Augmenting Deep Learning Adaptation for Wearable Sensor Data through Combined Temporal-Frequency Image Encoding.
CoRR, 2023

Semi-Supervised Domain Adaptation with Auto-Encoder via Simultaneous Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Internet of Things Fault Detection and Classification via Multitask Learning.
Proceedings of the 2023 International Conference on embedded Wireless Systems and Networks, 2023

2022
Enabling Heterogeneous Domain Adaptation in Multi-inhabitants Smart Home Activity Learning.
CoRR, 2022

PhysioGait: Context-Aware Physiological Context Modeling for Person Re-identification Attack on Wearable Sensing.
Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

Estimating Heterogeneous Causal Effect of Polysubstance Usage on Drug Overdose from Large-Scale Electronic Health Record.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

College Student Retention Risk Analysis from Educational Database Using Multi-Task Multi-Modal Neural Fusion.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Tracking and Behavior Augmented Activity Recognition for Multiple Inhabitants.
IEEE Trans. Mob. Comput., 2021

Person Re-identification Attack on Wearable Sensing.
CoRR, 2021

Heterogeneous Causal Effect of Polysubstance Usage on Drug Overdose.
CoRR, 2021

A Non-Invasive Context-Aware Dehydration Alert System.
Proceedings of the HotMobile '21: The 22nd International Workshop on Mobile Computing Systems and Applications, 2021

Knowledge Transfer across Imaging Modalities Via Simultaneous Learning of Adaptive Autoencoders for High-Fidelity Mobile Robot Vision.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

PALMAR: Towards Adaptive Multi-inhabitant Activity Recognition in Point-Cloud Technology.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

Activity-Aware Deep Cognitive Fatigue Assessment using Wearables.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Monitoring My Dehydration: A Non-Invasive Dehydration Alert System Using Electrodermal Activity.
CoRR, 2020

LAXARY: A Trustworthy Explainable Twitter Analysis Model for Post-Traumatic Stress Disorder Assessment.
Proceedings of the IEEE International Conference on Smart Computing, 2020

Panel: Evolving IoT Tech Enables Aging in Place.
Proceedings of the 2020 IEEE International Conference on Pervasive Computing and Communications Workshops, 2020

AutoCogniSys: IoT Assisted Context-Aware Automatic Cognitive Health Assessment.
Proceedings of the MobiQuitous '20: Computing, 2020

LAMAR: LiDAR based Multi-inhabitant Activity Recognition.
Proceedings of the MobiQuitous '20: Computing, 2020

AI-Fairness Towards Activity Recognition of Older Adults.
Proceedings of the MobiQuitous '20: Computing, 2020

2019
Reflecting After Learning for Understanding.
CoRR, 2019

Scaling Longitudinal Functional Health Assessment in Multi-Inhabitant Smarthome.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

2017
A smart segmentation technique towards improved infrequent non-speech gestural activity recognition model.
Pervasive Mob. Comput., 2017

SenseBox: A low-cost smart home system.
Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, 2017

Single BSN-based multi-label activity recognition.
Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, 2017

Context-aware multi-inhabitant functional and physiological health assessment in smart home environment.
Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, 2017

Unseen Activity Recognitions: A Hierarchical Active Transfer Learning Approach.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Infrequent Non-speech Gestural Activity Recognition Using Smart Jewelry: Challenges and Opportunities for Large-Scale Adaptation.
Proceedings of the Handbook of Large-Scale Distributed Computing in Smart Healthcare, 2017

2016
Smart-energy group anomaly based behavioral abnormality detection.
Proceedings of the 2016 IEEE Wireless Health, 2016

CACE: Exploiting Behavioral Interactions for Improved Activity Recognition in Multi-inhabitant Smart Homes.
Proceedings of the 36th IEEE International Conference on Distributed Computing Systems, 2016

Automated Functional and Behavioral Health Assessment of Older Adults with Dementia.
Proceedings of the First IEEE International Conference on Connected Health: Applications, 2016

2015
Mobeacon: An iBeacon-Assisted Smartphone-Based Real Time Activity Recognition Framework.
EAI Endorsed Trans. Ubiquitous Environ., 2015

2014
GeSmart: A gestural activity recognition model for predicting behavioral health.
Proceedings of the International Conference on Smart Computing, 2014

iCanLearn: A Mobile Application for Creating Flashcards and Social Stories™ for Children with Autism.
Proceedings of the Smart Homes and Health Telematics - 12th International Conference, 2014

2013
Preserving User Privacy in Pervasive Environments with a Collaborative Model.
Proceedings of the Seventh International Conference on Software Security and Reliability, 2013

Considerations in Designing Human-Computer Interfaces for Elderly People.
Proceedings of the 2013 13th International Conference on Quality Software, 2013


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