Computer Science & Engineering

Department of Computer Science & Engineering

MAKAUT Affiliated & AICTE Approved
Intake: B.Tech: 90, Diploma: 60
  • Duration: 4 Years

Department of Computer Science & Engineering

ABOUT THE DEPARTMENT

The CSE department was started with 60 seats in 2008-2009 and increased to 90 in the academic year 2024-25. The department strives for global excellence in teaching and focuses on research and technology development. The Department of Computer Science and Engineering has a vibrant body of faculty members. The main objective of the department is to provide a platform on which the stakeholders acquire knowledge about the advanced emerging technologies. The department has several MOUs with industry and academia. Continuous interactions with the industry help our students to brace themselves to absorb into the industry and higher studies.

VISION

To develop the students for a globalized technological society and orient them towards serving the society.

MISSION

  • M1. Create the most conducive environment for quality academic and research oriented undergraduate education in computer science and engineering.
  • M2. To inculcate all the technical and professional skills among the students through outcome based education.
  • M3. To establish research and innovation culture by nurturing young minds.

The Department of Computer Science and Engineering (CSE) is one of the best Department of Greater Kolkata College of Engineering and Management. Experienced full-time best Computer Science Faculty members provide a comprehensive program that emphasizes algorithms and theory, advanced computer architecture and recent programming language like Python. Also provide best training and best placement in West Bengal with the coordination of Training and placement cell on Android, Machine Learning, UNIX administration.

The CSE Department’s many strengths include its best faculty and student ratio, state of the art facilities, best internship focused on undergraduate education balanced with leading-edge job oriented course and best industry project.

Greater Kolkata College of Engineering and management is the best engineering college in West Bengal offered 4 years B.Tech course in Computer Science and Engineering (CSE) under MAKAUT (formerly WBUT) approved by AICTE. CSE Graduates are recruited by many top companies. Computer Science Graduates take up careers in the computing industry, the finance industry, traditional large Engineering companies, startup companies, Management consulting companies, medical informatics companies, and Government. Some of our top undergraduates placed in top company such as Cognizant, TCS, Tech Mahindra, IBM etc.

HoD, CSE Dr. Pijush Dutta Qualification: B.Tech., M.Tech., Ph.D., Postdoc Researcher Experience:  13 Years Email id: hod_cse.gkcem@jisgroup.org
Welcome to the Department of Computer Science & Engineering, GKCEM. The Department of Computer Science and Engineering welcomes you to be a part of the thriving computer science community and become visionaries and change-makers of the future. The department of CSE came into existence in 2008 with an intake of 60; at present, the department has an intake of 90. Our distinguished faculty members ensure a wide range of diverse learning experiences ranging from the fundamentals of Computer Science, Core Courses, Programming, Emerging Technologies like Big Data Analytics, Data Mining, IoT, AI, Machine Learning, Cyber Security, Professional Ethics, Research Methodologies and Open-Source Technologies—to name just a few. Information technology, in recent years, has become overwhelmingly pervasive, while its parent, computing science, has become correspondingly hard to find. Our Department of Computer Science & Engineering (CSE) is dedicated to ensuring great careers for its students. Our faculty and students are constantly striving to excel and to advance the state of the art in Computer Science and Engineering. Our understanding is that persons who are clear and thorough about the fundamentals can adapt to rapid changes in technology relatively easily. We want the education imparted to our students to be the basis of a lifetime of learning. Learning is a continuous process and does not end with the acquisition of a degree, especially because steady and rapid advances in computing technologies shorten the life of tools and techniques prevalent today. Therefore, we do not aim to make our students walk manuals of any language or package. Instead, they are given a strong foundation in computer science and problem-solving techniques and are made adaptable to changes with a strong emphasis on Context & project-based learning through mini projects, industry visits, guest lectures, student activities & Leadership events, professional societies, and incubation centre. I am confident that one can find our students worthy of the organization where they join. The Department is proud to have a strong alumni network, many of whom hold influential positions in the Information Technology industry and academia, at both, national and international levels. We look forward to having talented students, researchers, academicians, and professionals join us and augment the healthy and competitive learning atmosphere we have on campus. Also, the CSE department has MoUs with some of the best organizations and trying to strengthen them further. The placement record of eligible students from the last many years is very good and are working in reputed IT companies. Students along with the teachers constantly involved in exciting and interesting problems/projects to explore and innovate new methods and find sustainable solutions, published in various national and international journals. It remains the most preferred choice of all the students seeking admission in GKCEM. We as a team sincerely welcome the young talent who aspire to pursue studies, educate, or innovate in the area of Computer Science. So Come and Join us.
TIC, CSE Mr.Raghunath Maji Qualification: B.Tech., M.Tech., Ph.D. (Pursuing) Experience:  3 Years
  • B.Tech in Computer Science & Engineering (4 Years)
  • Lateral B.Tech in Computer Science in Enginering (3 Years)
  • DATA STRUCTURE & ALGORITHM LAB
  • COMPUTER ORGANISATION LAB
  • NUMERICAL LAB
  • COMMUNICATION ENGG AND CODING THEORY LAB SOFTWARE TOOLS LAB
  • COMPUTER ARCHITECTURE LAB
  • DESIGN & ANALYSIS OF ALGORITHM LAB
  • PROGRAMMING PRACTICES USING C++ LAB OBJECT ORIENTED PROGRAMMING (IT) LAB
  • DATA BASE MANAGEMENT SYSTEM LAB
  • NETWORK LAB
  • OPERATING SYSTEM LAB
  • SOFTWARE ENGINEERING LAB
  • ARTIFICIAL INTELLIGENCE LAB
  • INTERNET TECHNOLOGY (IT) LAB
  • PROJECT LAB
  • DESIGN LAB

B.Tech Programme

  • Smart Classroom
  • Computer Lab I & II
  • Innovation & Project Development Lab

Research Area

  • Machine Learning
  • Deep Learning
  • IOT based System
Dr. Pijush Dutta
(BTech, MTech, PhD, Postdoctoral Researcher (Multimedia University, Malaysia))

HoD, Assistant Professor

Prof. Raghunath Maji
(BTech, MTech, PhD Pursuing)

Assistant Professor, CSE

 

Prof. Kakali Das
( BTech , MTech)

Assistant Professor, CSE

 

Prof. Amrita Mitra
( BTech , MTech)

Assistant Professor, CSE

 

Prof. Sagardeep Ghosh
( BTech , MTech)

Assistant Professor, CSE

 

Prof. Surya Shekhar Santra
( BTech , MTech)

Assistant Professor, CSE

 

Ms. Mrittika Ghorai
(Diploma, BTech)

Technical Assistant, CSE

List of Research & Publication

2024–25

Prof.(Dr.) Pijush Dutta

International Journal:

  1. Mishra, Saket, Priyanka Shukla, Deshraj Shyamkant Chumbhale, Pijush Dutta, Dhakshnamoorthy Vellingiri, and Ruchi Tiwari. “Exploring the Potential of Gastro Retentive Drug Delivery Systems: An Insightful Perspective.” International Journal of Pharmaceutical Investigation 15, no. 3 (2025).
  2. Pijush Dutta, Anubrata Mondal, Rahul Vadisetty, Anand Polamarasetti, Raviteja Guntupalli, and Sateesh Kumar Rongali. “A novel deep learning rule-based spike neural network (SNN) classification approach for diagnosis of intracranial tumors.” International Journal of Information Technology (2025): 1-8.
  3. DUTTA, Pijush, Sunita SHARMA, Varun Kumar NOMULA, Gour Gopal JANA, Anubrata Mondal, and P. A. U. L. Shobhandeb. “Cart KNN: A hybrid distance-based pre-pruned classification and regression method for the early diagnosis of Alzheimer’s disease.” Sigma 43, no. 5 (2025): 1484-1494.
  4. Tiwari, Ruchi, Shivam Verma, Pranshul Sethi, Pijush Dutta, and Rajesh Devarai. “Therapeutic Potentials of Piper betle Leaf: Insights into Its Medicinal Uses and Bioactive Compounds.” Pharmacognosy Research 17, no. 4 (2025).
  5. Mondal, Krishnendu, Bijan Mallick, Azzam Sabah Hameed, Anindya Sarkar, Jayanta Mahato, Pijush Dutta, and Bidesh Bose. “Experimental Analysis and Hybrid-Optimization of Micro-ECDM Process Parameters to Enhance Micro-Machining Performances of Silica by Gaussian-Quantum-PSO.” Journal of Advanced Manufacturing Systems 24, no. 01 (2025): 125-141.

International Seminar / Conference

  1. Pijush Dutta, Sujata Kundu, Shobhandeb Paul, and Gour Gopal Jana. “Evaluating the Performance of Machine Learning Integrated SMOTE Analysis.” In Proceedings of Third International Conference on Intelligent Systems: ICIS 2024, p. 343. Springer Nature, 2025.
  2. Pijush Dutta, Dipankar Haldar, Subhojit Chattaraj, Anubrata Mondal, and Kakali Das. “Using Hybrid Flower Pollination Algorithm and Adaptive Fuzzy Inference System.” Biologically Inspired Techniques in Many Criteria Decision-Making: Proceedings of BITMDM 2024 45 (2025): 411.
  3. Biswas, Niratyay, Sujata Kundu, Shyamapriya Chatterjee, Shobhandeb Paul, Gour Gopal Jana, Arindam Sadhu, and Pijush Dutta. “of Hepatitis B Patients with Potential Attributes Data Using Machine Learning Approach.” In Proceedings of Third International Conference on Intelligent Systems: ICIS 2024, p. 125. Springer Nature, 2025.
  4. Dutta, P. et al. (2026). Textual Social Data Disinformation Analysis Using a Hybrid Context-Enhanced Deep Learning Model. In: Bhattacharyya, S., Banerjee, J.S., De, D., Mahmud, M. (eds) Intelligent Human Centered Computing. HUMAN 2025. Lecture Notes in Networks and Systems, vol 1691. Springer, Singapore.
  5. Dutta, P., Burila, R.K., Paul, S., Dasig, D., Chakraborty, A., Banerjee, J.S. (2026). HRLGEDL: A Novel Hybrid RNN-LSTM-GRU Embedded Deep-Learning Model to Improve the Analysis of Fake News. In: Bhattacharyya, S., Banerjee, J.S., Platos, J., De, I. (eds) Proceedings of the International Conference on Web 6.0 and Industry 6.0. WIN 2025. Lecture Notes in Networks and Systems, vol 1508. Springer, Singapore.
  6. Bishal Das, and Pijush Dutta. “Secure and Privacy-Preserving Federated Learning for Healthcare Time Series Data: A Comprehensive Review”, International Conference on Green Technology & Smart Systems 2025 (ICGTSS 2025), IEEE, 19-20 December 2025.
  7. Pijush Dutta, Amrita Mitra, and Kakali Das. “Leveraging HITL AI Approaches for Safeguarding Public Health Against Online Misinformation”, in 2nd International Conference on Emerging Trends in Electronic Devices and Computational Techniques (EDCT2025), IEEE, organized by GURU NANAK INSTITUTE OF TECHNOLOGY, Kolkata, India, scheduled for November 20th to November 21st, 2025.
  8. Pijush Dutta, J.S. Banerjee, et al. “A Hybrid Lightweight ResNet50-1D-CNN Transfer Learning Model for Accurate Eye Disease Classification” in Seventh Doctoral Symposium on Intelligence Enabled Research (DoSIER 2025) organized by RCC Institute of Information Technology, Kolkata, India, scheduled for November 21 to November 22, 2025.
  9. Pijush Dutta, J.S. Banerjee, et al. “ADCMI-HDCNN: Transfer Learning Enhanced Hybrid CNN for MRI-Based Alzheimer’s Disease Diagnosis,” presented at the 4th International Conference on Human-Centric Smart Computing (ICHCSC 2025) held in UEM, Jaipur, India, on October 10th – 11th, 2025.

Book Chapter:

  1. Pijush Dutta, Amit Dey, Raushan Das, Raghunath Maji, Shobhondeb Paul, and Sudip Mandal. “MLCDL: A Critical Practice and Implementation of Multi-tissue Classification and Diagnosis Using Deep Learning Algorithm.” In Artificial Intelligence (AI) in Cell and Genetic Engineering, pp. 297-313. Humana, New York, NY, 2025.
  2. Dey, Sumanta, Pijush Dutta, Gour Gopal Jana, and Arindam Sadhu. “Diabetes Prediction Using a Hybrid PCA‐Based Feature Selection and Computational Machine Learning Algorithm.” Design and Forecasting Models for Disease Management (2025): 253-268.
  3. Dutta, Pijush, Jyoti Sekhar Banerjee, Arpita Chakraborty, and Haipeng Liu. “Designing a comprehensive model to handle imbalanced data classification using hybrid Gaussian noise up-sampling and an optimized classifier.” In Recent Trends in Data Analytics and Computing, pp. 260-264. CRC Press.
  4. Dutta, Pijush, Shobhandeb Paul, Sumanta Dey, Rajshri Das, and Gour Gopal Jana. “An automated human behavior analysis using AI based predictive model in health care.” In Mining Biomedical Text, Images and Visual Features for Information Retrieval, pp. 31-43. Academic Press, 2025.
  5. Dey, Mainak, Pijush Dutta, and Gour Gopal Jana. “Diagnostics and Classification of Alzheimer’s Diseases Using Improved Deep Learning Architectures.” Design and Forecasting Models for Disease Management (2025): 215-236.
  6. Dutta, Pijush, Gour Gopal Jana, Arindam Sadhu, and Mete Yağanoğlu. “A systematic review on autonomous and cognitive medical robots for acute care medicine.” Medical Robotics and Intelligent Healthcare Technologies (2026): 1-22.
  7. Sharma, Pratham, Prerana Singh, Mahe Parah, Shyamapriya Chatterjee, Anirban Bhar, Soumya Bhattacharyya, and Pijush Dutta. “Perform a Comparative Study Based on Conventional Machine Learning Approaches for Human Stress Level Detection.” Design and Forecasting Models for Disease Management (2025): 237-251.
  8. Maji, Raghunath, and Biswajit Gayen. “Safeguarding Digital Health: A Novel Approach to Malicious Device Detection in Smart Healthcare.” Design and Forecasting Models for Disease Management (2025): 283-296.
  9. Pijush Dutta, Amit Dey, Raushan Das, Raghunath Maji, Shobhondeb Paul, and Sudip Mandal. “MLCDL: A Critical Practice and Implementation of Multi-tissue Classification and Diagnosis Using Deep Learning Algorithm.” In Artificial Intelligence (AI) in Cell and Genetic Engineering, pp. 297-313. Humana, New York, NY, 2025.

Books

  1. Dutta, Pijush, Sudip Mandal, Korhan Cengiz, Arindam Sadhu, and Gour Gopal Jana, eds. “Design and Forecasting Models for Disease Management”. John Wiley & Sons, 2025.
  2. Dutta, Pijush, Jyoti Sekhar Banerjee, Siddhartha Bhattacharyya, Debashis De, Panagiotis Sarigiannidis, Mohamed Lahby, and Shashi Kant Gupta, eds. “Recent Trends in Data Analytics and Computing”. CRC Press, 2026.
  3. Dutta Pijush, Nag Aniruddha, “AI and Machine Learning” Taurean Publishers, 2026.
  4. Dutta Pijush, Mandal Sudip, Cengiz Korhan, “Experimental Design of Bio-inspired algorithms for Optimization problem in Industry 5.0, Bentham Science, 2026.

Prof. Raghunath Maji

Prof. Raghunath Maji

Book Chapter:

  1. Pijush Dutta, Amit Dey, Raushan Das, Raghunath Maji, Shobhondeb Paul, and Sudip Mandal. “MLCDL: A Critical Practice and Implementation of Multi-tissue Classification and Diagnosis Using Deep Learning Algorithm.” In Artificial Intelligence (AI) in Cell and Genetic Engineering, pp. 297-313. Humana, New York, NY, 2025.
  2. Maji, Raghunath, and Biswajit Gayen. “Safeguarding Digital Health: A Novel Approach to Malicious Device Detection in Smart Healthcare.” Design and Forecasting Models for Disease Management (2025): 283-296.
  3. Dutta, Pijush, Amit Dey, Raushan Das, Raghunath Maji, Shobhondeb Paul, and Sudip Mandal. “MLCDL: A Critical Practice and Implementation of Multi-tissue Classification and Diagnosis Using Deep Learning Algorithm.” In Artificial Intelligence (AI) in Cell and Genetic Engineering, pp. 297-313. Humana, New York, NY, 2025.
  4. Maji, Raghunath & Gayen, Biswajit. (2025). Safeguarding Digital Health: A Novel Approach to Malicious Device Detection in Smart Healthcare. 10.1002/9781394234073.ch13.
  5. Maji, Raghunath & Gayen, Biswajit & Saha, Sandeepan. (2025). A Robust IoT‐Based Approach to Enhance Cybersecurity and Patient Trust in the Smart Health Care System: Zero‐Trust Model. 10.1002/9781394234073.ch12.
  6. D Barui, A Ghosh, R Maji, M Ghorai, S Raut (2026). Optimal load balancing technique for energy-efficient fog computing architecture. Recent Trends in Data Analytics and Computing, 108-113. CRC Press. https://doi.org/10.1201/9781003724995
  7. S Mondal, R Maji, A Bhaumik, S Saha, B Gayen (2026). Nanotechnology: a sustainable and ecofriendly approach in wastewater treatment and quality monitoring. Recent Trends in Data Analytics and Computing, 101-107. CRC Press. https://doi.org/10.1201/9781003724995
  8. R Maji, R Vadisetty, T Barat, D Barui, B Gayen (2026). Adaptive LSTM models for robust stock price prediction under market volatility. Recent Trends in Data Analytics and Computing, 24-29. CRC Press. https://doi.org/10.1201/9781003724995

Conference (Scopus):

  1. Maji, R., Pati, R., Manna, S., Dutta, P. (2025). Machine Learning Based Heart Attack Risk Prediction to Save Lives Before Tragedy Strikes. In: Long, N.H., Tavares, J.M.R.S., Pal, S., Son, L.H., Thai Pham, B. (eds) Proceedings of Third International Conference on Intelligent System. ICISS 2024. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-96-4093-5_2
  2. Dutta, P., Dey, A., Das, R., Maji, R., Paul, S., Mandal, S. (2025). MLCDL: A Critical Practice and Implementation of Multi-tissue Classification and Diagnosis Using Deep Learning Algorithm. In: Mandal, S. (eds) Artificial Intelligence (AI) in Cell and Genetic Engineering. Methods in Molecular Biology, vol 2952. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-4690-8_18

Prof. Kakali Das

Prof. Kakali Das

International Seminar / Conference

  1. Pijush Dutta, Dipankar Haldar, Subhojit Chattaraj, Anubrata Mondal, and Kakali Das. “Using Hybrid Flower Pollination Algorithm and Adaptive Fuzzy Inference System.” Biologically Inspired Techniques in Many Criteria Decision-Making: Proceedings of BITMDM 2024 45 (2025): 411.
  2. Pijush Dutta, Amrita Mitra, and Kakali Das. “Leveraging HITL AI Approaches for Safeguarding Public Health Against Online Misinformation”, in 2nd International Conference on Emerging Trends in Electronic Devices and Computational Techniques (EDCT2025), IEEE, organized by GURU NANAK INSTITUTE OF TECHNOLOGY, Kolkata, India, scheduled for November 20th to November 21st, 2025.

Patent

  1. Dr. Sanjay Kumar Sonkar, Mrs. Kiluru Divya, Dr. Nidal Al Said, Kakali Das, Nimisha Y B, D. Karthikeyan, Rudrajit Dutta “A SYSTEM AND METHOD FOR END-TO-END ENCRYPTION IN HETEROGENEOUS IOT DEVICE NETWORKS” Application No.: 202511061514 A, Date of filing of Application: 24/06/2025, Publication Date: 11/07/2025.

Prof. Amrita Mitra

Prof. Amrita Mitra

International Seminar / Conference

  1. Pijush Dutta, Amrita Mitra, and Kakali Das. “Leveraging HITL AI Approaches for Safeguarding Public Health Against Online Misinformation”, in 2nd International Conference on Emerging Trends in Electronic Devices and Computational Techniques (EDCT2025), IEEE, organized by GURU NANAK INSTITUTE OF TECHNOLOGY, Kolkata, India, scheduled for November 20th to November 21st, 2025.

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