Israt Tasnim Esha

Lecturer, Department of CSE

Designation: Lecturer, Department of CSE

Qualification: B.Sc. in Engineering from KUET

Mobile: 01791294697

E-mail: israttasnimesha1046@gmail.com & isratesha@uob.edu.bd

Israt Tasnim Esha is a Computer Science graduate from Khulna University of Engineering and Technology (KUET), with academic and technical experience in programming, software engineering, artificial intelligence, machine learning, databases, operating systems, and computer networks.

Her research interests include Federated Learning, privacy-preserving machine learning, Blockchain, data privacy, and cryptography. She is the first author of an accepted conference paper to be published in IEEE Xplore and is currently working on research manuscripts in Federated Learning and Blockchain. She has also received two Dean’s Awards for academic excellence.

Areas of Interest

Education
Awards
Research Papers and Publications
Academic Skills

Education

B.Sc. in Engineering, Khulna University of Engineering and Technology

Awards

Deanʼs Award (2019–2020, 2021–2022), Recognized for academic excellence with yearly.

Research Papers and Publications

FPMAN: An Integrated Framework for Stable Training and Privacy-Preserving Federated Learning in Non-IID Settings, Conference: International Conference on Power, Electronics, Communications, Computing, and Intelligent
Infrastructure 2026 (PECCII 2026)
Status: Accepted / To be published in IEEE Xplore, Role: 1st Author
Supervisor: Dola Das, Assistant Professor, CSE, KUET

A Privacy and Verifiability Retaining Framework for Heart Disease Prediction through Various Machine Learning Approaches, Journal: Journal of Information and Intelligence
Status: Under Review, Role: 1st Author
Supervisor: Dola Das, Assistant Professor, CSE, KUET, Co-Author: Dr. Kazi Md. Rokibul Alam, Professor, CSE, KUET

CBTS: Blockchain-Based Cross-Border Transaction System – A Secure and Efficient Approach,
Journal: [To Be Submitted]
Status: Planning Submission, Role: 1st Author
Supervisor: Md. Ahsan Habib, Assistant Professor, CSE, KUET

FPMAN: An Integrated Framework for Stable, Privacy-Preserving, and Attack-Resistant Federated Learning under Non-IID Data, Journal: [To Be Submitted]
Status: Planning Submission, Role: 1st Author
Supervisor: Dola Das, Assistant Professor, CSE, KUET

Academic Skills

•Programming Fundamentals: C, C++, Java, Python, C#
•Mobile Application Development: Android (Java, Kotlin), Flutter (Dart), iOS (Swift)
•Data Structures & Algorithms: Dynamic programming, graph theory, arrays, linked lists, trees
•Database Systems: SQL, relational modeling, normalization, PostgreSQL, MongoDB, Firebase
•Software Engineering: Software architecture, testing strategies, version control (Git, GitHub)
•Artificial Intelligence: Machine learning, neural networks, supervised & unsupervised models
•Operating Systems: Process scheduling, memory management
•Computer Networks: TCP/IP, OSI model, subnetting, routing basics, network protocols
•Web Technologies & Deployment: HTML, CSS, C#, ASP.NET, Django; Deployment (Render), Hosting (Bluehost)
•Systems & Compiler: Compiler fundamentals, Assembly Language (8086)
•Research Methodologies: Academic writing, literature review, citation styles

Profile

Lecturer, Department of CSE

Israt Tasnim Esha

Areas of Interest