Computer Science and Engineering Discipline of Khulna University - CSEKU

Computer Science and Engineering Discipline of Khulna University - CSEKU This is the official page of Computer Science and Engineering (CSE) Discipline of Khulna University. degree. Students of M.Sc.Engg.

In 1991, Computer Science and Engineering (CSE) Discipline of Khulna University (KU) started its academic activities with only 20 undergraduate students. Since then, around 800 undergraduate students (of 18 batches) graduated from this Discipline. A perfect 100% proud graduates are working in different government and private organizations as well as in teaching professions in home and abroad. Curr

ently, CSE Discipline is taking 40 students at the undergraduate level in each year. With the support from the Ministry of Science and Information Communication Technology, CSE Discipline has been conducting Post-Graduate Diploma in Information Technology (PGD-IT) since 2001. The Discipline has already achieved its target by producing around 200 PGD-IT Professionals. In 2011, CSE Discipline has stepped into wider arena by introducing M.Sc.Engg. will be benefited from the recently signing MOU between CSE Discipline of Khulna University and Department of Computer Science of University of Saskatchewan, Canada.

13/05/2026
07/04/2026

We are pleased to inform you that our manuscript "Toward sustainable hydroponic farming: An AI-driven IoT framework for virtual pH sensing and sensor lifespan extension" has been published in Alexandria Engineering Journal. Thanks to all the co-authors for your supports. Special thanks to Moniruzzaman, who is currently pursuing graduate studies in Kyung Hee University, South Korea for your hard work and dedication completing the work. Following link is for the interested folks:

We are pleased to inform you that our manuscript "Automated detection, shape classification, and counting of leaves and ...
02/02/2026

We are pleased to inform you that our manuscript "Automated detection, shape classification, and counting of leaves and fruits from bunch leaf and fruit image using deep learning models for smart agriculture and forestry" has been published in Multimedia Tools and Applications. Special thanks to Swajan Golder, Hafsa Sultana, Abdullah Al Noman, and Rafflesia Khan for your hard work and dedication. Thanks to Rameswar Debnath sir for supervising the work. Following link is for the interested folks:

Fruit detection, shape measurement, and counting are integral to yield estimation. Detection and classification of individual partial and full leaves from

25/12/2025

New paper published: Generation, Analysis and Detection of LLM Manipulated Bangla News.

Aysha Akther; Moudud Hasan; Rameswar Debnath

Recent advancements in Large Language Models(LLMs) have significantly improved the diversity and quality of LLM-generated texts. The remarkable ability to under

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