Research and Publications

Research Interest

• Signal/Image Processing

• Machine Learning/ Deep Learning Theoretical and Algorithmic Foundations

• Computer Vision

• Biomedical Signal/Image Processing

• Differential Privacy

• Speech Processing

• ML in Communication

Journal Publications

• • U. Saha, P. Saha, M. J. Alam, & M. Ahmed, “Toward Efficient Identification of Retinal Diseases: A Lightweight Convolutional Neural Network-Based Approach Using Optical Coherence Tomography,” Healthcare Technology Letters, vol 13, no. 1, e70059, (2026). DOI: 10.1049/htl2.70059.

  • U. Saha†, T. M. Tonoy†, & H. Imtiaz, “DP-CDA: An Algorithm for Enhanced Privacy Preservation in Dataset Synthesis Through Randomized Mixing,” Security and Privacy, vol 9, no. 2, e70207, (2026). DOI: 10.1002/spy2.70207.

  • A. Bhattacharjee, K. Islam, K. Anan, A. Intesher, A. A. Fuad, U. Saha, & H. Imtiaz, “CAE-Net: Generalized Deepfake Image Detection using Convolution and Attention Mechanisms with Spatial and Frequency Domain Features,” Journal of Visual Communication and Image Representation, vol 115, (2025). DOI: 10.1016/j.jvcir.2025.104679. 

  • 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. 

  • 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A GAN-Based Image-to-Image Translation Network With Retrieval-Classification Integration for Watermark Retrieval From Historical Document Images,” IEEE Access, vol. 12, pp. 95857-95870, (2024), DOI: 10.1109/ACCESS.2024.3424662. 

  • 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. 

  • 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

• S. B. Siddiqui and U. Saha, “AudioFuse: Unified Spectral-Temporal Learning via a Hybrid ViT-1D CNN Architecture for Phonocardiogram Classification,” Accepted in ICASSP 2026. [arXiv]

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

• 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.

• 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.

• 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.

• 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.

• 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 )

• A. A. Mamun†, U. Saha†, M. H. Hasan, J. Alam, & S. Ahmed, “Comprehensive Dataset and Signal Processing Framework for Phonocardiogram-Based Heart Rate and Blood Pressure Estimation,” (2025).– (Under Peer Review in Biomedical Signal Processing and Control ) [PDF]

• 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.