Hi, I'm Sarbajit Paul Bappy
AI/ML researcher and lecturer working on deep learning, computer vision, explainable AI, and federated learning for medical and agricultural imaging.
About Me
Lecturer in the Department of CSE at Daffodil International University and an AI/ML researcher (CGPA 3.95/4.00, Batch First) with Erasmus+ exchange experience at Mälardalen University, Sweden. Published researcher across deep learning, computer vision, explainable AI, and federated learning for medical and agricultural imaging, currently teaching Data Structures and Software Quality Assurance while maintaining an active research pipeline in healthcare AI.
What drives me
I love translating complex ideas into accessible, reliable systems. Whether mentoring students or iterating on research, I prioritize clarity, reproducibility, and meaningful impact.
Deep Learning, Computer Vision, XAI, Federated Learning
PyTorch, TensorFlow, Keras, Scikit-learn, OpenCV
Lecturer, CSE — Daffodil International University
Value 1
Research-Driven
I connect theory with practice, validating ideas through experiments, benchmarks, and peer feedback.
Value 2
Systems Thinker
I design end-to-end solutions: data readiness, modeling, evaluation, deployment, and monitoring.
Value 3
Community-Focused
Teaching, mentoring, and leading IEEE initiatives keep me grounded and collaborative.
Education
Academic journey and international experiences
Bachelor of Science in Computer Science and Engineering
Daffodil International University (DIU)
Dhaka, Bangladesh
CGPA: 3.95/4.00
May 2022 – May 2026
- •Outstanding academic performance
- •Research-focused curriculum
- •Active in IEEE activities
- •Thesis: Early Detection of Neurodegenerative Diseases Using Multimodal AI and IoT-Based Sensor Data
- •Batch First
Computer Science and Engineering
Mälardalen University
Västerås, Sweden
Jan 2025 – Jun 2025
- •International academic exchange
- •Cross-cultural research collaboration
- •Global perspective on AI/ML
HSC in Science
Govt. Majid Memorial City College
Khulna, Bangladesh
GPA: 5.00/5.00
Jul 2017 – Dec 2019
- •Perfect GPA
- •Strong foundation in science and mathematics
Courses & Certifications
Supervised Machine Learning: Regression and Classification
Instructor: Andrew Ng – Coursera, DeepLearning.AI (2023–2024)
CSE Fundamental
Phitron.io (2022–2024). Includes DSA, OOP, DBMS, AWS, and ML foundations.
Skills
Technologies and tools I work with
Programming Language
Industry Knowledge
Tools & Technologies
Soft Skill
Research
Deep Learning & Machine Learning
Work Experience & Volunteering
Professional roles, leadership, and community involvement
Lecturer
Department of Computer Science and Engineering (CSE), Daffodil International University (DIU)
July 2026 – Present
Teach Data Structures (theory and laboratory) and Software Quality Assurance at the undergraduate level. Design lecture content, lab exercises, assignments, and assessments aligned with course outcomes; evaluate student performance; and participate in departmental academic and research activities.
Teaching Assistant
Daffodil International University
October 2025 – June 2026
Supporting undergraduate courses, labs, and evaluation under Prof. Dr. Fernaz Narin Nur. Mentoring students and assisting research activities.
Secretary
IEEE DIU SB WIE Affinity Group
2024 – 2025
Coordinated operations and events for the Women in Engineering Affinity Group.
IEEE Vice Chair (Technical)
IEEE DIU SB CS Chapter
2024 – 2025
Led technical initiatives and events for the IEEE Student Branch Computer Science Chapter.
Campus Organizer
Brikkhobondhu
2024
Organized campus engagement programs and community events.
Research Interests & Publications
Areas of focus and key research contributions
Deep Learning
Designing architectures for complex pattern recognition, focusing on hybrid models that blend multiple neural approaches.
Computer Vision
Image processing and visual pattern recognition for medical imaging, agricultural monitoring, and automated analysis.
Medical Image Analysis
AI-driven disease detection, diagnosis support, and treatment planning across varied imaging modalities.
Agricultural Image Analysis
Computer vision for crop disease detection, plant health monitoring, and sustainable farming insights.
Explainable AI
Interpretability methods and visual explanations that make model decisions transparent and trustworthy.
Hybrid Deep Learning
Combining multiple deep learning approaches for stronger classification and detection performance.
Selected Publications
Recent publications and manuscripts in progress
Federated Learning for Securing Healthcare Data: A Comprehensive Review on Privacy, Robustness, and Defense Mechanisms
Sarbajit Paul Bappy; Swapnil Tarafdar; Syada Tasmia Alvi; Rittik Chandra Das Turjy; Amir Sohel
DeepMed-A3Net: A Lightweight Edge-Deployable Backbone with Modality-Aligned Federated Learning for Fair and Efficient Heterogeneous Clinical AI
Sarbajit et al.
SkinVisualNet: A Hybrid Deep Learning Approach Leveraging Explainable Models for Identifying Lyme Disease from Skin Rash Images
Sohel, A., Turjy, R. C. D., Bappy, S. P., Assaduzzaman, M., Marouf, A. A., Rokne, J. G., & Alhajj, R.
Evaluating Deep Learning Models and Explainable AI for Mushroom Classification.
Sarbajit Paul Bappy, Rittik Chandra Das Turjy, Avi Mondal, Tanzina Bithi, Md Hasan Imam Bijoy , and Amir Sohel
A Quantum-Inspired Hybrid DenseNet Framework with Imbalance-Aware Learning for MRI-Based Alzheimer’s Disease Classification
Nur, F. N., Bappy, S. P., Mondal, A., Dipu, M. H., Sharmin, S., Moon, N. N., & Jahan, H.
Spatiotemporal Patterns and Machine Learning for Road Traffic Accident Prediction in Developing Countries: A Systematic Review with Implications for Bangladesh
Mondal, A., Paul Bappy, S., & Nur, F. N.
Projects
Showcasing my work in machine learning, deep learning, and data analysis
Rainfall and Temperature Prediction
Machine LearningML-based analysis for climate and agriculture forecasting. Developed machine learning models to predict rainfall patterns and temperature variations, supporting agricultural planning and climate analysis.
Population Analysis with MySQL
Data AnalysisDemographic and urbanization insights using advanced SQL queries. Analyzed large-scale population datasets to extract meaningful insights about demographic trends and urbanization patterns.
Email Spam Classification
Machine LearningML models for spam filtering using Random Forest and Decision Trees. Built and compared multiple machine learning algorithms to accurately classify emails as spam or legitimate messages.
Medical Image Classification Projects
Deep LearningDeep learning models for disease detection from medical images. Includes projects on skin disease classification, medical image analysis, and explainable AI implementations.
Splitter – Expense Splitting & Personal Finance Tracker
Academic ProjectAcademic project developed using Flutter (Cupertino) and Firebase for group expense splitting and personal finance tracking. Includes trip and bachelor mess management, optimized settlement algorithms, real-time synchronization, analytics dashboards, meal tracking, and automated PDF report generation.
Django E-Commerce Platform
Academic ProjectA full-featured e-commerce web application built with Django, featuring product management, shopping cart functionality, and PayPal payment integration.
AI Email Assistant
AI / AutomationIntelligent Gmail triage system using an Ollama LLM, Gmail API, Telegram API, and Streamlit for automated email classification, job-opportunity detection, and tailored cover-letter generation.
RetroX – Dengue Outbreak Forecasting System
Machine LearningML-powered outbreak forecasting platform using Scikit-learn, Optuna, SHAP, FastAPI, and Streamlit with leakage-safe time-series feature engineering and explainable-AI integration.
MLCG-GNN – Multi-Label Chest X-ray Classification
Medical ImagingEnd-to-end graph neural network pipeline for multi-label chest X-ray classification (NIH ChestX-ray14, CheXpert, VinDr-CXR) with adaptive graph construction, hybrid CNN–GNN feature fusion, uncertainty quantification, and Grad-CAM interpretability.
HostelEase – Hostel Management System
Web ApplicationMulti-role hostel management platform built with PHP, MySQL, Bootstrap, and Docker featuring room-lifecycle management, automated billing, complaint tracking, and secure authentication.
Get In Touch
Let's collaborate on research or discuss opportunities