Sagar Deep Deb
I am an Assistant Professor at the University of Petroleum and Energy Studies (UPES), working at the intersection of machine learning, deep learning, and healthcare. My research focuses on biomedical signal and image analysis, ventilator dyssynchrony, and clinical decision-support systems. I hold a Ph.D. (2024) in Electrical Engineering from IIT Patna and previously completed a postdoctoral fellowship at IIT Bombay before joining UPES.
Research Interests
Machine Learning
Image Processing
Deep Learning
AI for Health
Updates
Jan 2026
Paper entitled "Synthesis of ventilator dyssynchrony waveforms using a hybrid generative model and a lung model" accepted at Biomedical Signal Processing and Control!
Dec 2025
Paper entitled "Synthetic Ventilator Waveform Signal Detection Using Vision Transformers and Attention Mechanisms" accepted at INDICON 2025!
Feb 2025
Paper entitled "Enhancing White Blood Cell Segmentation with SE-UNet: A Channel-Wise Attention Approach for Improved Precision in Blood Smear Analysis" accepted at NCC 2025!
Dec 2024
Paper entitled "Ensemble learning using Gompertz function for leukemia classification" accepted at Biomedical Signal Processing and Control!
Education
PhD in Electrical Engineering
2019 - 2024
Advisor: Prof. Rajib Kumar Jha
Focus: Deep Learning Techniques for Biomedical Image Segmentation and Classification
Thesis title: Pectoral Muscle Segmentation, Breast Cancer Classification and Multimodal Data for Prognosis Prediction using Deep Learning Models
Focus: Deep Learning Techniques for Biomedical Image Segmentation and Classification
Thesis title: Pectoral Muscle Segmentation, Breast Cancer Classification and Multimodal Data for Prognosis Prediction using Deep Learning Models
MTech in Electronics and Communication Engineering
National Institute of Technology Silchar
2017 - 2019
Advisors: Prof. Fazal A Talukdar and Dr. Chandrajit Choudhury
Focus: Deep Learning and Machine Learning Techniques for Facial Expression classification
Thesis title: Frontal Facial Expression Recognition using Machine Learning and Deep Learning techniques.
Focus: Deep Learning and Machine Learning Techniques for Facial Expression classification
Thesis title: Frontal Facial Expression Recognition using Machine Learning and Deep Learning techniques.
BTech in Electronics and Communication Engineering
North Eastern Regional Institute of Science and Technology (NERIST)
2010 - 2016
Department: Electronics and Communication Engineering
Subjects: Communication Engineering, Signal Processing, Linear Algebra
Subjects: Communication Engineering, Signal Processing, Linear Algebra
Experience
Assistant Professor
School of Computer Science, University of Petroleum and Energy Studies
September 2025 - Present
Jan-July '26: Applied Machine Learning and Software Engineering course for BTech 3rd year students.
Sept-Dec '25: Was responsible for handling both the theory and practical classes for the course "Applied Machine Learning" for first-year MTech and MCA students.
Sept-Dec '25: Was responsible for handling both the theory and practical classes for the course "Applied Machine Learning" for first-year MTech and MCA students.
Institute Post Doctoral Fellow (IPDF)
Department of Bioscience and Bioengineering, Indian Institute of Technology Bombay
June 2024 - September 2025
Worked on deep learning based models for Ventilator Dyssynchrony Detection and classification.
Developed algorithms for automatic breath segmentation and delineation from pressure and flow signals.
Worked with team members on Iterative Bootstrapping with U-Net for ECG Delineation.
Senior Project Officer
Department of Applied Science and Biomedical Engineering, Indian Institute of Technology Madras
Feb 2024 - May 2024
Worked on fine-grained boxing punch classification.
Resources
Applied Machine Learning (BTech – 3rd Year)
Lecture notes, slides, and reference material used for the Applied Machine Learning course.
Software Engineering
Course material covering SDLC models, Agile methodologies, and case studies.
Publications (Journals)
Synthesis of Ventilator Dyssynchrony Waveforms using a Hybrid Generative Model and a Lung Model
Biomedical Signal Processing and Control, 2026
Ensemble learning using the Gompertz function for leukemia classification
Biomedical Signal Processing and Control, 2025
Modified double U-Net architecture for medical image segmentation
IEEE Transactions on Radiation and Plasma Medical Sciences, 2022
Segmentation of the pectoral muscle from mammograms using a U-Net having densely connected convolutional layers
Multimedia Tools and Applications, 2024
A multi-model ensemble-based deep convolution neural network structure for the detection of COVID-19
Biomedical Signal Processing and Control, 2021
Publications (Conferences)
Enhancing White Blood Cell Segmentation with SE-UNet: A Channel-Wise Attention Approach for Improved Precision in Blood Smear Analysis
2025 National Conference on Communications (NCC), IIT Delhi
2-stage convolutional neural network for breast cancer detection from ultrasound images
2023 National Conference on Communications (NCC), IIT Guwahati
Breast cancer detection and classification using global pooling
2020 11th International conference on computing, communication and networking technologies (ICCCNT)
Frontal facial expression recognition using parallel CNN model
2020 National Conference on Communications (NCC), IIT Kharagpur
Awards & Honors
Best Paper award
2023
Best paper award at the 2023 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT) held at NIT Puducherry.
Travel Grant
2023
Travel grant for participation in the Graduate Students' Day at NCC 2023 held at IIT Guwahati.