Biography
🧠 Behind this site | Research Nerd | Love-to-code | RCB 🏏🤍
Durjoy Mistry
Lecturer
A Multisectoral Study of Mpox Epidemiology, Resistance Surveillance, and Policy Gaps: Toward a One Health Framework
2025Deep learning for predicting essential proteins using topological features and gene ontology
2025FallVision: A benchmark video dataset for fall detection
2025Federated Learning Strategies for Confidential Leukemia Detection from Medical Images
2025From Centralization to Decentralization: Blockchain’s Role in Transforming Social Media Platforms
2025Open problems and challenges in federated learning for IoT: A comprehensive review and strategic guide
2025Privacy-Preserving Rheumatism Detection Using Federated Learning
2025Secure Collaborative Learning for CSV-Based Ovarian Cancer Diagnosis: A Federated Approach
2025Explainable federated learning for privacy-preserving bangla sign language detection
2024Federated learning-based architecture for personalized next emoji prediction for social media comments
2024Incorporating residual connections into a multi-channel CNN for lung cancer detection in digital pathology
2024Privacy Preserving Breast Cancer Prediction with Mammography Images Using Federated Learning
2024Privacy-Preserving Vision-Based Detection of Pox Diseases Using Federated Learning
2024Federated Transfer Learning for Vision-Based Fall Detection
2023Privacy-preserving on-screen activity tracking and classification in e-learning using federated learning
2023Your browser doesn't support PDF viewing.
Download PDFAcademician | Lead Researcher | Computer Science Engineer
Durjoy Mistry is a distinguished Lecturer in the Department of Computer Science and Engineering at the University of Asia Pacific (UAP) and a Lead Researcher at the Advanced Machine Intelligence Research (AMIR) Lab. With a robust foundation in computer science and a focus on high-impact technological advancement, his work bridges the gap between theoretical research and practical, real-world application.
Research Excellence & Specialization
Durjoy’s primary research interests lie at the forefront of modern computing, specifically within Privacy-Preserving Artificial Intelligence and Federated Learning. His scholarly contributions address some of the most pressing challenges in the digital age, including:
-
Federated Learning & Data Privacy: Developing decentralized machine learning frameworks that allow for collaborative model training without compromising individual user data.
-
Computer Vision & Healthcare: Leveraging Deep Learning for medical imaging and fall detection systems to enhance diagnostic accuracy and elderly care.
-
Blockchain Integration: Exploring decentralized architectures to improve the security and transparency of social media platforms and data-sharing ecosystems.
His research has been recognized and published in prestigious international journals, including IEEE Access and Engineering Applications of Artificial Intelligence (EAAI). Notable works include his studies on privacy-preserving activity tracking for e-learning environments and data-driven clinical decision-making.
Educational Leadership & Mentorship
In his capacity as a Lecturer at UAP, Durjoy is committed to cultivating a culture of technical excellence. He is an active mentor in the Competitive Programming community, guiding students through the complexities of algorithms and data structures. His teaching portfolio includes:
-
Structured Programming: Building the fundamental logic required for high-level software engineering.
-
Web Design & Development: Teaching modern standards for responsive and user-centric digital interfaces.
-
Database Management Systems: Training students in the architecture and optimization of data storage.
Professional Vision
Driven by the philosophy of "Privacy by Design," Durjoy aims to develop intelligent systems that are not only powerful but ethically grounded. Whether he is optimizing a Deep Learning model or mentoring the next generation of software engineers, his goal remains constant: to contribute to a future where technology serves humanity with integrity, security, and innovation.
Educational Qualification
Master of Science in Computer Science and Engineering
University of Asia Pacific (UAP) | 2025
-
Academic Standing: CGPA 4.00 / 4.00 (Batch Rank: 1st)
-
Thesis: Secure Federated Learning for Sign Language Detection: Addressing Model Inversion Vulnerabilities with Differential Privacy.
-
Core Focus: Enhancing the security of decentralized machine learning models through Differential Privacy and investigating defensive mechanisms against model inversion attacks.
Bachelor of Science in Computer Science and Engineering
University of Asia Pacific (UAP) | 2021
-
Academic Standing: CGPA 3.88 / 4.00 (Batch Rank: 2nd)
-
Thesis: Hate Speech Detection in Social Media Comments using BERT.
-
Core Focus: Natural Language Processing (NLP) and the utilization of Transformer-based architectures to identify and mitigate toxic content in digital communication.
Higher Secondary & Secondary Education
Barisal Education Board | 2013 – 2015
-
Higher Secondary Certificate (HSC), 2015: GPA 5.00 / 5.00 (Science Group)
-
Secondary School Certificate (SSC), 2013: GPA 5.00 / 5.00 (Science Group)
Academic Recognition & Expertise
-
Elite Academic Performance: Attained a perfect CGPA during postgraduate studies, graduating as the top-ranked student in the Master's cohort.
-
Research Evolution: Demonstrated a clear trajectory from Natural Language Processing (BERT) to advanced Privacy-Preserving Machine Learning (Federated Learning and Differential Privacy).
-
Consistently Ranked: Recognized as a top performer throughout his academic career, maintaining high honors from secondary education through to his Master's degree.
Durjoy Mistry has a diverse teaching portfolio, covering foundational computer science principles, advanced programming paradigms, and system architecture.
Foundational & Core Programming
-
CSE 102: Introduction to Computer Science Providing students with the essential theoretical and practical foundations of the field.
-
CSE 104: Structured Programming Teaching the fundamentals of logic, syntax, and procedural programming.
-
CSE 104: Structured Programming Lab Guiding students through hands-on implementation of C-based programming and problem-solving.
-
CSE 108: Competitive Programming Mentoring students in algorithmic efficiency, data structures, and advanced problem-solving for coding competitions.
Advanced Systems & Communication
-
CSE 304: Data Communication Lab Exploring the practical aspects of data transmission, signals, and networking protocols.
-
CSE 306: System Analysis & Design Lab Training students in the software development lifecycle (SDLC), requirement modeling, and system architectural planning.
Software Development & Web Design
-
CSE 310: Object-Oriented Programming II Lab: Visual and Web Design Focusing on advanced OOP principles and their application in developing modern, responsive web interfaces and visual systems.