3 citations · 5 across the 16 of their papers we have counts for
16 papers
Real-Time Musculoskeletal Surrogates for Pediatric Cerebral Palsy: a Credibility Pilot
Mohammad Arif Ul Alam
Real-time musculoskeletal (MSK) surrogates could support personalized rehabilitation for children with cerebral palsy (CP), but their credibility depends on subject-wise evaluation…
Robust Cross-Modal Foundation Model Perception for Underwater Robots under Degraded Visual Conditions
Mohammad Arif Ul Alam
Reliable underwater robotic perception remains difficult because optical imagery degrades under turbidity, wavelength-dependent attenuation, low illumination, scattering, and blur.…
Internet of Things Fault Detection and Classification via Multitask Learning
Mohammad Arif Ul Alam
This paper presents a comprehensive investigation into developing a fault detection and classification system for real-world IIoT applications. The study addresses challenges in da…
Augmenting Deep Learning Adaptation for Wearable Sensor Data through Combined Temporal-Frequency Image Encoding
Yidong Zhu, Md Mahmudur Rahman, Mohammad Arif Ul Alam
Deep learning advancements have revolutionized scalable classification in many domains including computer vision. However, when it comes to wearable-based classification and domain…
Wearable-based Fair and Accurate Pain Assessment Using Multi-Attribute Fairness Loss in Convolutional Neural Networks
Yidong Zhu, Shao-Hsien Liu, Mohammad Arif Ul Alam
The integration of diverse health data, such as IoT (Internet of Things), EHR (Electronic Health Record), and clinical surveys, with scalable AI(Artificial Intelligence) has enable…
Enabling Heterogeneous Domain Adaptation in Multi-inhabitants Smart Home Activity Learning
Md Mahmudur Rahman, Mahta Mousavi, Peri Tarr +1
Domain adaptation for sensor-based activity learning is of utmost importance in remote health monitoring research. However, many domain adaptation algorithms suffer with failure to…
Semi-Supervised Domain Adaptation with Auto-Encoder via Simultaneous Learning
Md Mahmudur Rahman, Rameswar Panda, Mohammad Arif Ul Alam
We present a new semi-supervised domain adaptation framework that combines a novel auto-encoder-based domain adaptation model with a simultaneous learning scheme providing stable i…
College Student Retention Risk Analysis From Educational Database using Multi-Task Multi-Modal Neural Fusion
Mohammad Arif Ul Alam
We develop a Multimodal Spatiotemporal Neural Fusion network for Multi-Task Learning (MSNF-MTCL) to predict 5 important students' retention risks: future dropout, next semester dro…
Person Re-identification Attack on Wearable Sensing
Mohammad Arif Ul Alam
Person re-identification is a critical privacy attack in publicly shared healthcare data as per Health Insurance Portability and Accountability Act (HIPAA) privacy rule. In this pa…
Activity-Aware Deep Cognitive Fatigue Assessment using Wearables
Mohammad Arif Ul Alam
Cognitive fatigue has been a common problem among workers which has become an increasing global problem since the emergence of COVID-19 as a global pandemic. While existing multi-m…
Estimating Heterogeneous Causal Effect of Polysubstance Usage on Drug Overdose from Large-Scale Electronic Health Record
Vaishali Mahipal, Mohammad Arif Ul Alam
Drug overdose has become a public health crisis in the United States with devastating consequences. However, most of the drug overdose incidences are the consequence of recitative…
Knowledge Transfer across Imaging Modalities Via Simultaneous Learning of Adaptive Autoencoders for High-Fidelity Mobile Robot Vision
Md Mahmudur Rahman, Tauhidur Rahman, Donghyun Kim +1
Enabling mobile robots for solving challenging and diverse shape, texture, and motion related tasks with high fidelity vision requires the integration of novel multimodal imaging s…
Monitoring My Dehydration: A Non-Invasive Dehydration Alert System Using Electrodermal Activity
Nandan Kulkarni, Christopher Compton, Jooseppi Luna +1
Staying hydrated and drinking fluids is extremely crucial to stay healthy and maintaining even basic bodily functions. Studies have shown that dehydration leads to loss of producti…
AutoCogniSys: IoT Assisted Context-Aware Automatic Cognitive Health Assessment
Mohammad Arif Ul Alam, Nirmalya Roy, Sarah Holmes +2
Cognitive impairment has become epidemic in older adult population. The recent advent of tiny wearable and ambient devices, a.k.a Internet of Things (IoT) provides ample platforms…
LAXARY: A Trustworthy Explainable Twitter Analysis Model for Post-Traumatic Stress Disorder Assessment
Mohammad Arif Ul Alam, Dhawal Kapadia
Veteran mental health is a significant national problem as large number of veterans are returning from the recent war in Iraq and continued military presence in Afghanistan. While…
Reflecting After Learning for Understanding
Lee Martie, Mohammad Arif Ul Alam, Gaoyuan Zhang +1
Today, image classification is a common way for systems to process visual content. Although neural network approaches to classification have seen great progress in reducing error r…