Research and Publications

Research Interest

• Machine Learning/ Deep Learning Applications in Healthcare

• Computer Vision

• Biomedical Signal/Image Processing

• Differential Privacy

Journal Publications

1. U. Saha†, S. D. Sammya†, P. Saha, S. A. Fattah, & C. Shahnaz, “An Attention Guided Lightweight Network Based Scheme for Anxiety Detection Using Multimodal Analysis of Single-Channel Wearable ECG and RSP Sensor Signals,” IEEE Sensors Letters, (2025), DOI: 10.1109/LSENS.2025.3560396. 

2. U. Saha, S. Saha, S. A. Fattah, & M. Saquib, “Npix2Cpix: A GAN-Based Image-to-Image Translation Network With Retrieval-Classification Integration for Watermark Retrieval From Historical Document Images,” IEEE Access, vol. 12, pp. 95857-95870, (2024), DOI: 10.1109/ACCESS.2024.3424662. 

3. U. Saha, A. Jawad, S. Shahria & A. B. M. H. U. Rashid “Proximal policy optimization-based reinforcement learning approach for DC-DC boost converter control: A comparative evaluation against traditional control techniques,” Heliyon, vol 8, no. 18, e37823, (2024). DOI: 10.1016/j.heliyon.2024.e37823. 

4. U. Saha, S. Saha, S. A. Fattah, & M. Saquib,“Decoding Human Activities: Analyzing Wearable Accelerometer and Gyroscope Data for Activity Recognition,” IEEE Sensors Letters, vol. 8, no. 8, pp. 1-4, (2024) DOI: 10.1109/LSENS.2024.3423340. 

Conference Papers

1. U. Saha, T. M. Tonoy, & H. Imtiaz, “Differentially Private Decentralized Dataset Synthesis Through Ran domized Mixing with Correlated Noise,” Accepted in 2025 IEEE International Conference on Future Machine Learning and Data Science (FMLDS). [arXiv] 

2. F. I. Rakin; U. Saha; A.B.M.H.U. Rashid, "Enhanced Isolated Bidirectional Resonant DC-DC Converter with Artificial Neural Network Control for Electric Vehicle Onboard Chargers", 6th IEEE International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT), pp. 864–869, IEEE, 2024.

3. S. Saha, U. Saha, S. Saha, S. A. Fattah, "PPG-Based Feature Extraction for Type II Diabetes Prediction: A Machine Learning Approach, 2nd International Conference on Computer, Communication, and Control (IC4)", pp. 1–6, IEEE, 2024.

4. S. D. Sammya, U. Saha, S. A. Fattah, "PPG Signal-Based Activity Recognition for Health and Fitness Monitoring, 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GenCon)", pp. 1–7, IEEE, 2024.

5. U. Saha, S. Shahria, A.B.M.H.U. Rashid, "Intelligent Control Strategies for DC-DC Boost Converter: Performance Analysis and Optimization", International Conference on Smart Systems for Applications in Electrical Sciences (ICSSES), pp. 1–6, IEEE, 2023.

6. S. Saha†; U. Saha†; S. D. Sammya; S. Ahmed; S. A. Fattah, A Siamese-Based One Shot Learning Network with a Watermark Enhancement Technique for Historical Watermark Recognition, IEEE Region 10 Symposium (TENSYMP), pp. 1–5, IEEE, 2022.

PUBLICATION UNDER REVIEW / PREPARATION  († EQUAL CONTRIBUTION )

1. A. A. Mamun†, U. Saha†, M. H. Hasan, J. Alam, & S. Ahmed, “A Dataset Proposal and Algorith mic Approach to Estimate Heart Rate and Blood Pressure Using Phonocardiogram Signal for Continuous Health Monitoring System,” (2025).– (Under Peer Review in Biomedical Signal Processing and Control ) [PDF]

2. S. B. Siddiqui and U. Saha, “AudioFuse: Unified Spectral-Temporal Learning via a Hybrid ViT-1D CNN Architecture for Phonocardiogram Classification,” (2025)– (Submitted to ICASSP 2026) [PDF]

3. U. Saha†, T. M. Tonoy†, & H. Imtiaz, “DP-CDA: An Algorithm for Enhanced Privacy Preservation in Dataset Synthesis Through Randomized Mixing,” (2025)– (Under Peer Review in Security and Privacy) [arXiv] 

4. I. Ahmed†, U. Saha†, M. B. M. Murad, T. N. Islam, S. D. Sammya, T. F. Sanam, & H. Imtiaz, “EnCoNet: An Ensemble-based Synthetic Speech Attribution Scheme with Convolutional Neural Networks,” (2025). [Co-lead author]– (Under Peer Review in Heliyon) (ResearchSquare) 

Research Experience

1. M.Sc. Engg. Thesis:                                                      

1. • Supervisor: Dr. Hafiz Imtiaz 

   • DP-CDA: A Federated Privacy-Preserving Data Synthesis Framework Using Randomized Mixing 

   • Developed an effective privacy-preserving synthetic data generation framework that generates synthetic datasets that preserve class-wise data integrity and model utility, while ensuring strong privacy guarantees. 

2. B.Sc. Engg. Thesis:                                                                                             

•  Supervisor: Dr. A. B. M. Harun-Ur-Rashid 

•  Intelligent Control Strategies for DC-DC Boost Converter: Integration of Optimization and Reinforcement Learning Approaches. 

•  Introduced a proximal policy optimization (PPO)-based reinforcement learning (RL) approach for DC-DC boost converter control and compared it with traditional control methods. 

3. Voluntary Research: A Dataset Proposal and Algorithmic Approach to Estimate Heart Rate and Blood Pressure Using Phonocardiogram Signal for Continuous Health Monitoring System (May’2023–Expected: July’2025) 

• Supervisor: Shahed Ahmed and Md. Jahin Alam

• This work aims to make a PCG signal dataset with labeled ECG signals and blood pressure (BP) data. It involves developing a signal-processing algorithm to extract features like heart rate (HR), BP, and HRV. Additionally, a journal article is in the process of being prepared.