Publications

Domain-Informed Label Fusion Surpasses LLMs in Free-Living Activity Classification
By integrating BERT-based word embeddings with domain-specific knowledge (i.e., MET values), FUSE-MET optimizes label merging, reducing label complexity and improving classification accuracy.
The 39th Annual AAAI Conference on Artificial Intelligence (AAAI'25) - Student Abstract and Poster Program
Shovito Barua Soumma, Abdullah Mamun, Hassan Ghasemzadeh
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Domain-Informed Label Fusion Surpasses LLMs in Free-Living Activity Classification
Wearable-Based Real-time Freezing of Gait Detection in Parkinson's Disease Using Self-Supervised Learning [Abstract]
An innovative self-supervised learning framework developed for real-time detection of Freezing of Gait (FoG) in Parkinson’s Disease (PD) patients, using a single triaxial accelerometer
IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI’24)
Shovito Barua Soumma, Kartik Mangipudi, Daniel Peterson, Shyamal Mehta, Hassan Ghasemzadeh
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Wearable-Based Real-time Freezing of Gait Detection in Parkinson's Disease Using Self-Supervised Learning [Abstract]
AI-Powered Detection of Freezing of Gait Using Wearable Sensor Data in Patients with Parkinson’s Disease [Abstract]
Our patient-independent model achieved an overall accuracy of 78% in detecting FoG events using both medication ‘On’ and ‘Off’ state data.
International Congress of Parkinson’s Disease and Movement Disorders®, (MDS Congress), 2024
Shovito Barua Soumma, Daniel Peterson, Hassan Ghasemzadeh, Shyamal H. Mehta
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AI-Powered Detection of Freezing of Gait Using Wearable Sensor Data in Patients with Parkinson’s Disease [Abstract]
Machine Learning Approaches to Metastasis Bladder and Secondary Pulmonary Cancer Classification Using Gene Expression Data
Lung cancer and bladder cancer can be causally linked, so distinguishing between lung and bladder cancer tissues is critical for accurate diagnosis. The goal of this study was to determine the best method for classifying these tissues based on gene expression analysis data.
IEEE 2022 25th International Conference on Computer and Information Technology (ICCIT)
Shovito Barua Soumma, Ishraq R. Rahman, Faisal Bin Ashraf
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Machine Learning Approaches to Metastasis Bladder and Secondary Pulmonary Cancer Classification Using Gene Expression Data
Multimodal Time-Series Activity Forecasting for Adaptive Lifestyle Intervention Design
We focus on devising algorithms that combine data about physical activity and engagement with the app to predict future physical activity performance.
IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN), 2022
Abdullah Mamun, Krista S. Leonard, Matthew P. Buman, Hassan Ghasemzadeh
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Multimodal Time-Series Activity Forecasting for Adaptive Lifestyle Intervention Design