NITER

Dipanjali Kundu is a Lecturer in Department of Computer Science and Engineering at the National Institute of Textile Engineering and Research.

Dipanjali Kundu completed her Bachelors program in Computer Science and Engineering from Chittagong University of Engineering and Technology (CUET), Chittagong, Bangladesh in 2019 and pursuing M.Sc. from the Military Institute of Science and Technology (MIST). Currently, she is working as a Lecturer at Computer Science and Engineering, National Institute of Textile Engineering and Research (NITER), Constituent Institute of the University of Dhaka, Savar, Dhaka, Bangladesh since January 2020 to the present. The main interests of her research are Internet of Things (IoT), Machine Learning, AI, Blockchain, Data security and Data Science.

Degree Name	Group/Major Subject	Board/Institute	Country	Passing Year
M.Sc.	Computer Science and Engineering	MIST	Bangladesh	On Going
B.Sc.	Computer Science and Engineering	CUET	Bangladesh	2018

Title	Organization	Location	From Date	To Date
Lecturer	National Institute of Textile Engineering and Research	Nayarhat, Savar	01/01/2020	Continue
Lecturer	City University	Ashulia	05/01/2019	12/31/2020
Programmer	Kazi Farms(Sysnova)	Kazi Farms(Sysnova)	01/01/2019	04/29/2019

Research Interest

Subject	Description	Research Interest (Goal, Target Indicator)
Computer Science and Engineering	Impact of machine learning and Federated learning in the healthcare field, Security of healthcare data	N/A

Project/Research Supervision

Level of Study	Title	Supervisor	Co-Supervisor(s)	Name of Student(s)	Area of Research	Current Completion
No project/research supervision is found

Project/Research Work

Subject	Project Name	Source of Fund	From Date	To Date	Collaboration
No project/research work is found

Invited Talk

SL	Invited Talk
No invited talk is found

Collaboration & Membership Name	Type	Membership Year	Expire Year
No Data Found

Journal Article
1	Rahman, A., Debnath, T., Kundu, D., Khan, M. S. I., Aishi, A. A., Sazzad, S., ... & Band, S. S. "Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities". AIMS Public Health, (2024), 11(1), 58-109. Visit Link
2	Nobel, S. N., Wadud, M. A. H., Rahman, A., Kundu, D., Aishi, A. A., Sazzad, S., ... & Bhuiyan, T. A. U. H. "Categorization of Dehydrated Food through Hybrid Deep Transfer Learning Techniques". Statistics, Optimization & Information Computing, (2024). Visit Link
3	Rahman, A., Wadud, M. A. H., Islam, M. J., Kundu, D., Bhuiyan, T. A. U. H., Muhammad, G., & Ali, Z. "Internet of medical things and blockchain-enabled patient-centric agent through SDN for remote patient monitoring in 5G network". Scientific Reports, (2024), 14(1), 5297. Visit Link
4	DistB-SDoIndustry: Enhancing Security in Industry 4.0 Services based on Distributed Blockchain through SDN-IoT Enabled Architecture Visit Link
5	SGBBA: An Efficient Method for Prediction System in Machine Learning using Imbalance Dataset Visit Link
6	SDN-IoT empowered intelligent framework for industry 4.0 applications during COVID-19 pandemic Visit Link
7	Study on IoT for SARS-CoV-2 with healthcare: present and future perspective Visit Link
8	Hospital patients' length of stay prediction: A federated learning approach Visit Link
9	SDN–IoT empowered intelligent framework for industry 4.0 applications during COVID-19 pandemic Visit Link
10	Federated learning-based AI approaches in smart healthcare: concepts, taxonomies, challenges and open issues Visit Link
11	On the Integration of Blockchain and SDN: Overview, Applications, and Future Perspectives Visit Link
12	On the ICN-IoT with federated learning integration of communication: Concepts, security-privacy issues, applications, and future perspectives Visit Link
13	Impacts of blockchain in software‐defined Internet of Things ecosystem with Network Function Virtualization for smart applications: Present perspectives and future directions Visit Link

Conference Proceedings
1	An Intelligent Vaccine Distribution Process in COVID-19 Pandemic through Blockchain-SDN Framework from Bangladesh Perspective Visit Link

Award Type	Title	Year	Country	Description
No Data Found

Academic

Mail: dkundu@niter.edu.bd

Contact: 01707075789

Institute – Faculty

Name of the Department: Computer Science and Engineering

Position: Lecturer