Department of Computer Science and Engineering

Programmes

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Programmes

Diploma Programmes

Diploma in CSE

Under Graduate Programmes

Post Graduate/Doctoral Programmes

Industry Scenario

Additional employment opportunities with the Indian IT sector being the world’s largest outsourcing destination.
Growth of the Indian IT sector is expected to rise and reach US$ 350 billion by FY 2025

Brainware University students are studying in front of computers

Salient Features

Leading to international certification from Microsoft, Red Hat and Oracle
Practical training and projects cover Database Administration, OCP/OCA, System Maintenance, Java SE 7 and Android Application
Exhaustive pre placement and soft skills training by trained in-house experts for proper job placement

Successful Brainware students in various corporate fields

Career Options

Software Developer
Database Administrator
Computer Hardware Engineer
Computer Systems Analyst
Computer Network Architect
Web Developer
Information Security Analyst
Computer Programmer

Labs and workshop

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Labs and Workshop

Brainware University computer science & engineering students are working in computers

Brainware University computer science & engineering student performing test in lab

Computer Programming Lab
Operating System lab
Design and Analysis of Algorithm Lab
IT Workshop Lab
Artificial Intelligence Lab
Database Management System Lab
Software Engineering Lab
Computer Network Lab
Modern Application Development lab
Computer graphics Lab
Linux Administration Lab
Computer Organization and Architecture Lab
Digital Electronics Lab
Multimedia Lab

Faculty Members

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Faculty Members

Dr. Shivnath Ghosh

Professor & HOD

Qualification: Ph.D

Research Area: Soft Computing, IOT, AI

Dr. Pranam Paul

Professor

Qualification: PhD (Engg.) from National Institute of Technology (NIT) Durgapur, 2010

Research Area: Development of Storage-Efficient Cryptographic Protocols to Enhance Security in Communication Technology

Dr. Sahabul Alam

Associate Professor

Qualification: B.E (IT), M.Tech (CSE) NIT, Hamirpur, PhD (CSE)

Research Area: Wireless Sensor Network, IoT, Mobile Adhoc Network

Dr. Sayantan Nath

Associate Professor

Qualification: PhD, Post Doctorate

Research Area: Thermographic Security Processing

Dr. Avijit Kumar Chaudhuri

Associate Professor

Qualification: M.Tech, MBA, PhD

Research Area: Artificial Intelligence, Neural Network, Algorithms

Mr. Kaustav Roy

Assistant Professor

Qualification: M.TECH(CST)

Research Area: Grid Computing

Mr. Ritesh Prasad

Assistant Professor

Qualification: M.Tech(Computer Science and Engineering)

Research Area: Machine Learning

Mr. Sitikantha Chattopadhyay

Assistant Professor

Qualification: M.Tech (CSE)

Research Area: Image Processing, Machine Learning, Deep Learning

Mr. Subhra Prokash Dutta

Assistant Professor

Qualification: M.Tech. (NIT Durgapur)

Research Area: Machine learning, Image processing.

Mr. Joydeep Kundu

Assistant Professor

Qualification: M.Tech (Computer Science and Engineering)

Research Area: Mobile Ad-hoc network

Mr. Subrata Paul

Assistant Professor

Qualification: Ph.D in CSE (Pursuing), M.Tech (Computer Science), B.E (Computer Science and Engineering)

Research Area: Social Networks, Dynamic Social Network, Computational Intelligence

Mr. Koushik Mukhopadhyay

Assistant Professor

Qualification: M.Tech(CSE)

Research Area: Blockchain, Image Processing, Machine Learning

Piyali De

Assistant Professor

Qualification: M.Tech

Research Area: Wireless Sensor Network(WSN)

Piyal Roy

Assistant Professor

Qualification: PhD (Pursuing), MTech (Computer Science & Engineering), MSc (Computer Science), BSc Hons(Computer Science)

Research Area: Natural Language Processing, Machine Learning

Anindita Chakraborty

Assistant Professor

Qualification: B.Tech(CSE), M.Tech( IT)

Research Area: Mechine Learning

Amitava Podder

Assistant Professor

Qualification: M.Tech in CSE from Kalyani Government Engineering College, B.Tech in CSE from JIS College of Engineering

Research Area: Computer Networking and Image Processing

Chiranjeet Sarkar

Assistant Professor

Qualification: B.Tech(Institute of Technical Education and Research, Siksha 'O' Anusandhan University, Odisha), M.Tech (Kalyani Government Engineering College, MAKAUT)

Research Area: Machine Learning, Data Science

Subhra Halder

Assistant Professor

Qualification: BTech, MTech

Research Area: Cybersecurity

Jayeeta Ghosh

Assistant Professor

Qualification: B.Tech CSE (MAKAUT), M.Tech CSE (Jadavpur University)

Research Area: Machine Learning, Data Science

Shyamalendu Paul

Assistant Professor

Qualification: M.Tech in Computer Science & Engineering

Research Area: Artificial Intelligence and Machine Learning

Saptarshi Kumar Sarkar

Assistant Professor

Qualification: M. Tech CSE from Techno India University, M. Sc in CS

Research Area: Networking

Rajrupa Raychaudhuri

Assistant Professor

Qualification: M Tech, GATE Qualified

Research Area: Networking

Pranashi Chakraborty

Assistant Professor

Qualification: MTech in Software Engineering

Research Area: Soft Computing, Data Science

Sampurna Mandal

Assistant Professor

Qualification: M.Tech (C.S.E), B.Tech (C.S.E)

Research Area: Data Mining In The Field Of Health Care

Nobhonil Roy Choudhury

Assistant Professor

Qualification: M.Tech (C.S.E), B.Tech(IT)

Research Area: Bioinformatics, Iot

Tirthankar Das Thakur

Assistant Professor

Qualification: M.Tech

Jayanta Das

Assistant Professor

Qualification: M.Tech

Ayan Mukherjee

Assistant Professor

Qualification: M.Tech

Suvrajit Nath

Assistant Professor

Qualification: ME(Software Engineering)

Sulekha Das

Assistant Professor

Qualification: M.Tech

Sanchita Ghosh

Technical Assistant

Qualification: Graduate in BCA

Toufique Ahammad Gazi

Assistant Professor

Qualification: M.Tech

Research Area: Network Security, Autonomous mobile robots path planning using SoftComputing, Optimization Techniques

Pranab Gharai

Assistant Professor

Qualification: MCA, M.Sc(Math), M.Tech(CSE)

Research Area: Cryptology, Operation Research

Vision Mission

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Our Vision

Department of Computer Science & Engineering aims to create a promising environment for producing skillful professionals by making students aware of the modern industrial need. The Department will also encourage fundamental and innovative research in the field of Computer Science & Engineering.

Our Mission

The Department provides adequate guidance to students on emerging trends in the field of Computer Science & Engineering.
It prepares students for flexible career paths with qualitative advancement in computing.
It imparts moral and ethical values, along with interpersonal skills to the students and faculty members for their professional and personal growth
It provides various opportunities for students as well as faculty members to excel in every field by its collaboration with international bodies.

Learning Objectives

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Learning Objectives

Our Learning Objectives for students four years after receiving a Bachelor of Technology in Computer Science and Engineering are as follows:

High-level attainment of key principles and practices of computation, mathematics and basic principles of engineering to ensure that graduates are able to apply their software development skills in design and implementation of practical systems consisting of software and/or hardware components.

Analyze real-life problems and impart science-based engineering education to develop professional skills that will prepare the students for immediate employment in the industry. Graduates will be actively engaged in learning, understanding, design and applying new ideas and technologies as the field evolves along with participation in creative, synthetic and integrative activities of the relevant branch of engineering.
Excellence in professionalism, moral and ethical conduct, understanding of social context and interpersonal skills with adaptable communication to develop a global view among graduates so that they can appreciate diversity in the world and in intellectual pursuits.

Learning Outcomes

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Learning Outcomes

Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

Design/development of solutions: Design solutions for complex engineering problems and design system component or processes that meet the specified needs with appropriate consideration for the public health and safety, and the culture, societal, and environmental considerations.
Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and culture issues and the consequent responsibilities relevant to the professional engineering practice.
Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of , and need for sustained development.
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
Communication: Communicate effectively on complex engineering activities with the engineering community and with the society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentation, and give and receive clear instructions.
Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Activities

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Activities

WEBINAR/SEMINAR/WORKSHOP

10-day Faculty Development Programme (FDP) for the Computer Science and Engineering faculty members

The Department of Computer Science and Engineering conducted a 10-day Faculty Development Programme (FDP). The objective of FDP is to provide the knowledge about the current technologies and latest research work.

Date

19-07-2023 to 29-07-2023

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INDUSTRY VISIT

CSE students visit Webskitters Academy to enhance domain knowledge in the field of Web Development

Date

30-06-2022

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NATIONAL/INTERNATIONAL DAY CELEBRATION

National Engineers' Day celebrated at BWU to invoke the future technological innovations

Speakers:

Dr. Debashish Giri - Assistant Professor, Department of Information Technology, MAKAUT
Dr. Susanta Kumar Mondal - Dean Engineering and Director of IQAC
Mr. Debashish Roy - Product Manager, TCS ION
Mrs. Debdutta Pal - The HOD of the Department of Computer Science and Engineering

Date

29-08-2022

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FACULTY DEVELOPMENT PROGRAMME

4-day Intel Training Programme for CSE faculty members

Date

20-12-2022

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OTHER ACTIVITIES

The faculty-student initiative develops a device for detecting anxiety and stress levels in employees

A faculty-student collaboration from Brainware University has developed a device that can measure the anxiety and stress levels in employees

Date

05-01-2023

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MoU Sign Up

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MoU Sign Up

Code Clouds IT Solutions Pvt. Ltd.

Consilio Intelligence Research Lab Pvt. Ltd., Noida (CIRL)

DCPL Tech

Tata Consultancy Pvt. Ltd.

Webskitters Technology Solutions Pvt. Ltd.

Research

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Research

Research Activities of the Department of Computer Science & Engineering

Department of Computer Science and Engineering, Brainware University has an ambitious plan of increasing both the quality and quantity of doctoral level research. A lively atmosphere for research work exists in the said Department that encourages close collaboration among all the stakeholders of the Department. The faculty members of CSE Department are working in various research areas like Data Mining, Internet of Things, Cloud Computing, Machine Learning, Block Chain etc. At present eight PhD students are enrolled for doctoral degree in the Department of CSE under the guidance of existing Faculty members.

Existing Doctoral Research Domain:

Data Mining, Internet of Things, Cloud Computing, Machine Learning, Block Chain.

PUBLICATIONS

A. JOURNAL

Sl No.	Title of paper	Authors/s	Journal Name	Status
	A study to find a potent feature by combining the various Disulphide bonds of protein using data mining technique	Suprativ Saha, Twinkle Paul and Tanmay Bhattacharya	Network Modeling Analysis Health Informatics Bioinformatics, Springer	SCI
	An Approach to Enhance the Design of Protein Sequence Classifier Using Data Mining	Suprativ Saha and Tanmay Bhattacharya	Procedia Computer Science Journal, Elsevier	SCI
	Laser diode to single-mode triangular index fiber coupling via upside down tapered hyperbolic microlens on the fiber tip: Prediction of coupling efficiency by ABCD matrix formalism	Jayanta Aich, Angshuman Majumdar, Anup Kumar Maiti and Sankar Gangopadhyay,	Optik (Elsevier)	SCI
	A Novel and Simple Formalism for Study of Effect of Kerr Nonlinearity on Petermann I and II Spot Sizes of Single-Mode-Graded Index Fiber	Jayanta Aich, Anup Kumar Maiti, Angshuman Majumdar and Sankar Gangopadhyay	Journal of Optical Communication, Walter de Gruyter	Scopus
	Distracted driving: A novel approach towards accident prevention	Arnab Ghosh, Tania Chatterjee, Sunny Samanta, Jayanta Aich, Sandip Roy	Adv. Comput. Sci. Technol	UGC Care & Others
	An Efficient 8-bit Image Steganography Technique by Reverse Searching Method	Sitikantha Chattopadhyay	Journal of Emerging Technologies and Innovative Research	UGC Care & Others
	An Advanced Slab Based Image Steganography Technique for 8-bit Color Images by Introducing Diagonal Searching	Sitikantha Chattopadhyay	International Journal of Innovative Knowledge Concepts	UGC Care & Others
	Computer Vision Based Optical Document Layout Analysis: A Compatible Survey	Sanjukta Mishra and Debkumar Chowdhury	International Journal of Innovative Knowledge Concepts	UGC Care & Others
	A REVIEW ON BIG DATA ANALYTICS IN MEDICAL IMAGING	Sanjukta Mishra	International Journal of Computer Engineering and Applications	UGC Care & Others
	Analysing vegetation cover of an area using established Green Index from Satellite Image	Sayani Manna and Soma Mitra	International Journal of Computer Sciences and Engineering	UGC Care & Others
	Sentiment Analysis based on Different Machine Learning Algorithms	Sayani Manna	International Journal of Computer Sciences and Engineering	UGC Care & Others
	Destination Source Correlation Algorithm to monitor local networks: A Worm Detection Technique	Sayan Nath, Debdutta Pal, Avijit Mondal	Materials Today	Scopus
	SOIL SCIENCE USING MACHINE LEARNING AND IOT ENABLED FOR AGRICULTURE APPLICATIONS	Dr. Shivnath Ghosh	International Research Journal of Modernization in Engineering Technology and Science	UGC Care & Others

B. CONFERENCE

Conference Name	Conference Organizer Details with Date of Conference	Title of paper	Name of the author/s
INTERNATIONAL CONFERENCE ON APPLICATIONS OF NETWORKS, SENSORS AND AUTONOMOUS SYSTEMS ANALYTICS	JIS COLLEGE OF ENGINEERING, 5/12/2020	A Survey on Covid19 Case Analysis using Machine Learning	Shalini Roy Chowdhury and Dr. Debdutta Pal Dept. of CSE, BWU
CIIR	IEM COLLEGE,23/05/2021	Distribution of Internet Banking Credentials using Visual Cryptography and Watermarking Techniques	Mr. Surojit Goon, Dr. Debdutta Pal Dept. of CSE, BWU
International Conference on Advanced Computing and Applications (ICACA-2021)	Online mode, 25/03/21 to 27/03/2021	A Smart Emergency Exit System Based on IoT for Fire Perils	Sitikantha Chattopadhyay, Pinaki Pratim Acharjya and Santanu Koley Dept. of CSE, BWU
International Conference on Research in Intelligent and Computing in Engineering(RICE-2020)	Thu Dau Mot University, Vietnam on June 3-4, 2020	A Comparative Study to Classify Cumulonimbus Cloud using Pre-trained CNN	Sitikantha Chattopadhyay, Souvik Pal, Pinaki Pratim Acharjya and Sonali Bhattacharyya Dept. of CSE, BWU
RAICMHAS-2019	Brainware University, Barasat, Kolkata, India, February 2019	An Advanced Slab Based Image Steganography Technique for 8-bit Color Images by Introducing Diagonal Searching	Sitikantha Chattopadhyay, Dept. of CSE, BWU
IEEE Conference ICSSIT-2018	Tirunelveli, Tamil Nadu, India	A Morphological Approach to Match Two Color Images Using Deep Learning	Sitikantha Chattopadhyay, Dr. Pinaki Pratim Acharjya and Dr. Chandan Koner Dept. of CSE, BWU
IEEE Conference ICICT-2018	Coimbatore, Tamil Nadu, India	A Deep Learning approach to implement slab based image steganography algorithm of RGB images	Sitikantha Chattopadhyay, Dr. Pinaki Pratim Acharjya and Dr. Chandan Kone Dept. of CSE, BWU
International Conference on Soft Computing: Theories and Applications (SoCTA-2020)	Virtual Mode in support with STEM - Research Society on December 25-27, 2020	Use of Marker-Controlled Watershed Segmentation to Classify Cumulonimbus Cloud with Pre-Trained CNN	Sitikantha Chattopadhyay, Subhra Prokash Dutta, Sanjukta Mishra and Suprativ Saha Dept. of CSE, BWU
The International Conference on Soft Computing: Theories and Applications (SoCTA-2019)	National Institute of Technology, Patna, Bihar on December 27-29, 2019	An Approach to Select the Proper Combination Within Positional and Non-Positional Average Values of Features in Protein Classification	Suprativ Saha, Department of CSE, BWU
International Conference on Computational Intelligence and Data Science (ICCIDS-2019)	The NorthCap University, Gurugram, Delhi, on September 06-07, 2019	An Approach to Enhance the Design of Protein Sequence Classifier Using Data Mining	Suprativ Saha, Department of CSE, BWU
3rd International Conference on Advances in Computing and Data Sciences (ICACDS-2019)	Inderprastha Engineering College, Ghaziabad, UP on April 12-13, 2019	An Approach to Find Proper Execution Parameters of n-Gram Encoding Method Based on Protein Sequence Classification	Suprativ Saha, Department of CSE, BWU
International Conference on Soft Computing: Theories and Applications (SoCTA-2018)	National Institute of Technology, Jalandhar, Punjab on December 21-23, 2018	A New Protein Sequence Classification Approach Using Positional-Average Values of Features	Suprativ Saha, Department of CSE, BWU
International Conference on Advanced Computing, Networking, and Informatics (ICACNI-2018	National Institute of Technology, Silchar, Assam on June 04-06, 2018	Protein Sequence Classification Involving Data Mining Technique: A Review	Suprativ Saha, Department of CSE, BWU
International Conference on Innovative Computing and Communication (ICICC-2018)	Gurunanak Institute of Management, Delhi on May 05-07, 2018	A Novel Approach to Find the Saturation Point of n-Gram Encoding Method for Protein Sequence Classification Involving Data Mining	Suprativ Saha, Department of CSE, BWU
International Conference on Recent Advances in Informatics, Communication, Management, Health & Applied Sciences (RAICMHAS-2019)	Brainware University, Barasat, West Bengal on February 2019	An Enhancement Procedure to Construct a Protein Sequence Classification Model Involving Data Mining	Suprativ Saha, Department of CSE, BWU

C. Book & Book Chapters

Sl No	Title	Name of the author/s	Publishers Details
	An Approach to Select the Proper Combination within Positional and Non-positional Average Values of Features in Protein Classification	Suprativ Saha and Tanmay Bhattacharya	Advances in Intelligent Systems and Computing, Springer
	A Review of Protein Structure Classification along with a Proposed Classifier using Data Mining Techniques	Suprativ Saha, Saptaparni Sarkar and Tanmay Bhattacharya	Lecture Notes in Networks and Systems
	A New Protein Sequence Classification Approach Using Positional-Average Values of Features.	Suprativ Saha and Tanmay Bhattacharya	Advances in Intelligent Systems and Computing, Springer
	Protein Sequence Classification Involving Data Mining Technique: A Review	Suprativ Saha and Tanmay Bhattacharya	Smart Computing Paradigms: New Progresses and Challenges. Advances in Intelligent Systems and Computing
	An Approach to Find Proper Execution Parameters of n-Gram Encoding Method Based on Protein Sequence Classification.	Suprativ Saha and Tanmay Bhattacharya	Advances in Computing and Data Sciences. Communications in Computer and Information Science
	A Novel Approach to Find the Saturation Point of n-Gram Encoding Method for Protein Sequence Classification Involving Data Mining	Suprativ Saha and Tanmay Bhattacharya	Lecture Notes in Networks and Systems
	The state of art in Zero Knowledge authentication proof for cloud	Priyanka Ghosh	Scopus Index, Scrivener Publishing, Wiley
	A Comparative Study to Classify Cumulonimbus Cloud using Pre-trained CNN	Sitikantha Chattopadhyay, Souvik Pal, Pinaki Pratim Acharjya, Sonali Bhattacharyya	Springer Nature
	Use of Marker-Controlled Watershed Segmentation to Classify Cumulonimbus Cloud with Pre-Trained CNN	Sitikantha Chattopadhyay, Subhra Prokash Dutta, Sanjukta Mishra and Suprativ Saha	Advances in Intelligent Systems and Computing, Springer
	Does Deeper Network Lead to Better Accuracy: A Case Study on Handwritten Devanagari Characters	Bappaditya Chakraborty, Bikash Shaw, Jayanta Aich, Ujjwal Bhattacharya and Swapan Kr. Parui	13th IAPR International Workshop on Document Analysis Systems
	Probabilistic Sink Placement Strategy in Wireless Sensor Network	Krishnendu Saha, Jayanta Aich, Sumana Chakraborty, Sayan Bose	Contemporary Advances in Innovative and Applicable Information Technology Advances in Intelligent Systems and Computing
	Big Data Analytics in Social Media	Jayanta Aich	Computer & Information Systems into Next Frontier : The Emergence

Conference

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Learning Outcomes

International Conference on Current Research in Engineering and Technology

ICCRET-2021

Date: 26th & 27th November 2021
Conference Venue: Online
Website: https://www.brainwareuniversity.ac.in/iccret-2021

Department of Computer Science and Engineering

Programmes

Diploma Programmes

Under Graduate Programmes

Post Graduate/Doctoral Programmes

Industry Scenario

Salient Features

Career Options

Our Vision

Our Mission

International Conference on Current Research in Engineering and Technology

ICCRET-2021

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