Department of Computer Science & Engineering

The Department of Computer Science and Engineering (CSE) is a new department at the Khulna University of Engineering & Technology. The department provides an outstanding opportunity to students to get quality education in Computer Science & Engineering. It started its academic activities from 26th September 1999. Since then, it has been widely recognized for its excellent research and teaching capabilities. The graduates from the department are heavily recruited by both academia and industry of home and abroad The Department provides an outstanding research environment complemented by superior teaching for its students to flourish in. Within this period of time, the department produced many undergraduate research works, which were published in some world-recognized journals/Conference(s). The major areas of research include Algorithms, Soft Computing, Mobile Robotics, Artificial Intelligence, Speech Processing, Natural Language Processing, Image Processing, Software Engineering, VLSI Design, Embedded Systems, Data Mining, Machine Learning, Distributed computing, Computer Arithmetic, Computer Systems & Security, Networks. Besides theoretical research, faculty in the department also maintain strong ties with many reputed national and international companies and are involved in a large number of projects in the forefronts of cutting edge technology. The student bodies of the department namely Computer Science and Engineering Association (CSEA) in association with local IEEE student branch is active in organizing regular workshops/seminars, lecture series, and practical demos. The CSEA organizes programming contests regularly to prepare themselves for the ACM collegiate and other programming contests. They are also devoted to the sports and cultural activities of this university.


Vision of the Department


"To become a Center of Excellence in the field of Computer Science and Engineering with a strong research and teaching environment that adapts swiftly to the challenges of the computer technology evolution"


Mission of the Department


1. To provide qualitative education and generate new knowledge by engaging in cutting-edge research, and by offering state-of-the-art undergraduate and postgraduate programs, leading to careers as "Computer Science and Engineering" professionals in the widely diversified domains of industry, government and academia.


2. To promote a teaching and learning process that yields advancements in state-of-the-art in computer science and engineering, and technology, resulting in integration of research results and innovations into other engineering faculty leading to new technologies and products.


3. To harness human capital for sustainable competitive edge and social relevance by inculcating the philosophy of life-long learning and innovation in "Computer Science and Engineering".


 


Program Educational Objectives of the Department


PEO-1: Engineering Ethos


To bring the physical, analytical and computational approaches of CSE to bear on the challenges they take on, abstracting essential structure, recognizing sources of uncertainty, and applying appropriate models, technical tools, and evaluations to develop their solutions.


PEO-2: Leadership


To bring to their careers the self-assurance, integrity, and technical strengths that drive innovation, and the communication and collaboration skills to inspire and guide the groups they work with in bringing their ideas to fruition.


PEO-3: Versatility


To develop abilities and talents leading to creativity and productivity in fields and professions beyond the regular CSE curriculum.


PEO-4: Engagement


To promote life-long self learning abilities to remain professionally effective to the society at large.


PEO-5: Diversification


To promote among student graduates the ability to gain multidisciplinary knowledge through projects and industrial training, leading to a sustainable competitive edge in R&D and meeting societal needs.


PEO-6: Projects


To inculcate group work and team management skills with cross-cultural etiquettes, promoting knowledge transfer leading to conceptualization and delivery of projects with varied complexity .


PEO-7: Ethics and Attitudes


To sensitize students towards issues of social relevance, openness to other international cultures and to introduce them to professional ethics and practice.


 

Established : 14-09-1999
Head : Dr. Md. Aminul Haque Akhand
Location : New Academic Building
(Block-2, Ground and 1st Floor)
Phone : +88041-774318
+88041-769471-Ext-350
Fax : +880-41-774403
Email : headcse@kuet.ac.bd
Website : www.kuet.ac.bd/CSE
No Of Faculty Member : 26
No Of Students : 281
Degree Offered

B.Sc , M.Sc , Ph.D
Research

Artificial/Computational Intelligence; Distributed Evolutionary Computations; Intelligent Computer/Sensor Networking; Grid/Cloud Computing; Security and Trust in Cloud Environment; Biomedical Instrumentations; Intelligent Robotics; Data/Text Mining using Big-Data Analytics.

Big Data, Data mining, GPU Computing, Parallel Computing & Natural Language Processing.

Information Security and Applied Cryptography & Machine Learning.

Soft Errors Tolerance, Hardware Redundancy to Tolerate Fault, Error Correctioin Coding Theory, Software Implemented Fault Tolerance.

Artificial Neural Networks, Evolutionary Computation, Swarm Intelligence & Bioinformatics.

Fuzzy System, Evolutionary Algorithm, Genetic Algorithm & Artificial Intelligence.

Computer and Machine Vision, Motion Estimation.

Graph Drawing & Graph Theory.

Artificial Intelligence, Pattern Recognition and Machine Intelligence & Digital System Design.

Computer networking, mobile computing & adhoc networking with a focus on vehicular ad hoc networking.

Wireless Sensor Networks (WSNs), Vehicular Adhoc Networks (VANETs).

Evolutionary Computing, Cloud Computing, Mobile Computing &Computer Networks.

Computer and wireless mobile networks, Database Systems, Evolutionary computing, Bangla language processing & Multi-objective optimization.

Soft Computing, Natural Language Processing & Bio-inspired Computing.

AI, Machine Learning, Computational Biology, Data Mining, Natural Language Processsing, Semantic Web.

Database & Software Engineering.

Embedded Systems,Computer Networks& Bio Informatics.

Machine Learning & Signal Processing.

Machine Learning, Big Data & Data Mining.

Image Processing, Machine Learning, Data Mining

Machine Learning, Pattern Recognition, Image Processing

Cloud Computing, Security, Image Processing

Computational Biology, Bioinformatics, Deep learining, Soft Computing, Pattern Recognition, Data Mining

Natural Language Processing & Machine Learning

Computer Vision, Machine Learning, Dependable Computing & Fault Tolerance, Image Processing & Pattern Recognition