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Computer Science and Engineering (AI & ML)
ESTD.-2020

Computer Science and Engineering (AI & ML)

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Program Overview

Become an Innovation Leader
with Computer Science (AI & ML)

Computer Science (AI & ML)

Welcome to the Department of Computer Science and Engineering (Artificial Intelligence & Machine Learning). Our department is committed to nurturing technically competent, ethically responsible, and industry-ready professionals who can meet the challenges of a rapidly evolving digital world. We offer a strong foundation in computer science along with specialized courses in artificial intelligence, machine learning, data science, and intelligent systems.

Through a blend of rigorous academics, hands-on laboratories, student-driven clubs, research activities, workshops, and industry interactions, we encourage innovation, critical thinking, and lifelong learning. Our dedicated faculty continuously strive to create a learner-centric environment that bridges theory with real-world applications.

We take pride in the achievements of our students and alumni and remain focused on fostering excellence, leadership, and social responsibility. I invite you to explore our department and be a part of this exciting journey in AI and ML.

Our Vision

  • To become a highly significant department in imparting high-quality knowledge and in providing students a unique learning and research experience in frontier areas of Computer Science and Engineering.

Our Mission

  • To provide high-quality education that prepares the graduates for success in their professional practice and advanced studies.
  • To prepare the students for professional employment and graduate education through study and implementation of the fundamental principles of theory, abstraction, and software design.
  • To instill societal and ethical responsibilities in all professional activities.
Curriculum

Program Curriculum

Degree Offered

B.Tech in Computer Science & Engineering (AI&ML)

MAKAUT

4 Years 240 Seats

Infrastructure

Department Laboratories

Artificial Intelligence Lab
Capacity: 40 students
Key Equipment:
Printer: Qty:1, Laser Printer, HP L1 P1108Online UPS: AVO 80KVAProjector: Qty:1, VIVITEK Projctor, DS 272Switch: 24 port 10/105 Ethernet Switch. Qty:2
Machine Learning Lab
Capacity: 40 Students
Key Equipment:
Online UPS: UPS ITON CX 600VAProjector: Qty:1, VIVITEK Projctor, DS 272Switch: Qty-1, Tp-Link TL-SF 1048, 48 port 10/100 Mbps.
Data Structures and Algorithms Lab
Capacity: 40 Students
Key Equipment:
Printer: Qty:1, Laser Printer, HP L1 P1108Online UPS: Emerson (Vertiv) 80KVAProjector: Qty:1, LCD, Optoma Projector W309ST
Research

Research Focus Areas

Artificial Intelligence & Machine Learning
Computer Vision & Image Processing
IoT, Smart Systems & Embedded Intelligence
Data Science, Big Data Analytics & Decision Support Systems
Cyber Security, Data Privacy & Secure AI Systems
Signal Processing, Communication Systems & 6G Technologies
Intelligent Automation, Robotics & Smart Applications
Department Events

Events & Activities

No upcoming events.

Past
12 Mar 2026 — 13 Mar 2026
Haldia Institute of Technology
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ONE WEEK STAFF TRAINING PROGRAM ON SMARTOFFICE AI
Past
16 Jun 2025 — 20 Jun 2025
ONE WEEK STAFF TRAINING PROGRAM ON SMARTOFFICE AI
Haldia Institute of Technology
View Details
Faculty Development Programme on SUSTAINABLE DEVELOPMENT IN INDUSTRY 5.0 WITH AI
Past
05 Aug 2024 — 09 Aug 2024
Faculty Development Programme on SUSTAINABLE DEVELOPMENT IN INDUSTRY 5.0 WITH AI
Haldia Institute of Technology
View Details
Faculty Development Programme on RECENT RESEARCH TRENDS ON AI & ML IN INTERDISCIPLINARY DOMAIN
Past
13 May 2024 — 17 May 2024
Faculty Development Programme on RECENT RESEARCH TRENDS ON AI & ML IN INTERDISCIPLINARY DOMAIN
Haldia Institute of Technology
View Details
Alumni Network

Our Distinguished Alumni

Ankan Bhaumik
2024
Ankan Bhaumik
Infosys
Specialist Programmer
Souvick Mazumdar
2024
Souvick Mazumdar
TCS
Sayani Gorai
2024
Sayani Gorai
TCS
SYSTEM ENGINEER
Arajit Ghosh
2024
Arajit Ghosh
TCS
SYSTEM ENGINEER
YASH KUMAR
2024
YASH KUMAR
TCS
SYSTEM ENGINEER
ARADHYA KANTH
2024
ARADHYA KANTH
TCS
SYSTEM ENGINEER
ARYAN KUMAR SAW
2024
ARYAN KUMAR SAW
TCS
SYSTEM ENGINEER
MOHAMMAD SOBAAN
2024
MOHAMMAD SOBAAN
ACCENTURE
ASSISTANT SOFTWARE ENGINEER
PRABAL CHOWDHURY
2024
PRABAL CHOWDHURY
ACCENTURE
ASSISTANT SOFTWARE ENGINEER
JOY BANERJEE
2024
JOY BANERJEE
LTI MINDTREE
AROMA SHIRSH
2024
AROMA SHIRSH
CAPGEMINI
SOFTWARE ENGINEER
DHRUBAJYOTI GIRI
2024
DHRUBAJYOTI GIRI
ACCENTURE
ASSISTANT SOFTWARE ENGINEER
ORPITA SARKAR
2024
ORPITA SARKAR
DELLOITE
SOFTWARE ENGINEER
SIVYAM KUMAR
2024
SIVYAM KUMAR
TCS
SYSTEM ENGINEER
SATYAM SWAMI
2024
SATYAM SWAMI
TECH MAHINDRA
SOUMALYA SAHA
2024
SOUMALYA SAHA
TCS NINJA
SYSTEM ENGINEER
Our Team

Expert Faculty

CategoryCountCategoryCount
Total Faculty19Professors1
Associate Professors2Assistant Professors16
Faculty with Ph.D.11With B.Tech/B.E.8
Achievements

Department Achievements

Best Paper Award

Dr. Bidesh Chakraborty got the Best Paper Award for presenting the research paper titled Intelligent Farm Insects Detection using Attention Driven Neural Networks in the second international symposium on Artificial Intelligence (ISAI 2025) held in March 05-07, 2025.

Best Paper Award

Mr. Abhirup Paria got Best Paper Award, "Protecting Rose Leaves from Diseases: A Deep Learning Strategy", IN CONTRIBUTORY SESSION - IIID COMPUTER SCIENCE-II AT THE INTERNATIONAL CONFERENCE ON EMERGING TRENDS IN MATHEMATICAL SCIENCES & COMPUTING (IEMSC-24) HELD IN INSTITUTE OF ENGINEERING & MANAGEMENT, KOLKATA DURING 2ND TO 4TH FEBRUARY, 2024.

Ph.d Enrollment

Mr. Dipankar Roy, Mr. Amrit Kumar, Mrs. Upasana Adhikary, Mrs. Pinky Pramanik enrolled in Ph.D. program at CSIR-CIMFR, NIT Jamshedpur, IIEST Shibpur respectively.

UGC NET Exam

Mrs. Upasana Adhikary passed UGC NET in 22/02/2025.

Completed Training Program organized by WIPRO

Mrs. Dipika Sarkar successfully completed 21 days training program on Database soloution Expert, organised by Talent Next, Wipro Certified Faculty Program in online mode from 5th May, 2025 to 23rd May, 2025.

Academic Research

Publications

S.No.MonthAuthor(s)TitleJournalTypeIF
1 January Bharti S, Das P, and Das B The Robustness Gap: Real-World Challenges in AI-Based Flood Severity Assessment
DOI: https://doi.org/10.9734/ajrcos/2026/v19i1805
Asian Journal of Research in Computer Science Journal
2 Das, C., Mondal, A., Bose, A. and Das, B. A comprehensive literature review on microfluidic biochip technologies: techniques, challenges and future trends
DOI: https://doi.org/10.1007/s10404-025-02864-x
Microfluidics and Nanofluidics Journal 2.500
3 March A. K. Nayek, R. K. Jana, A. Adhikary Enhanced Multifactor Authentication Scheme for Telecare Medical Information System (TMIS) Transformative Technologies Revolutionizing Healthcare Through Computing and Communication Book chapter
4 Das Bappaditya, and Anirban Bose From Black Box to Glass Box Interpretable AI for Lung Cancer Radiomics.
DOI: https://doi.org/10.4018/979-8-3373-4312-9.ch007
AI and Machine Learning for Cancer Care: Precision Medicine and Beyond Book chapter
5 March S. Bhattacharya, A. K. Nayek, M. Sen Employing multi-format log analysis to detect Distributed Denial-of-Service (DDoS) attacks in Software-Defined Networks (SDN)
DOI: https://doi.org/10.1007/s44354-026-00020-7
Discover Networks, Springer Nature Link Journal 0.500
6 Bose, A., Das, B., Das, C., and Mandal, A. Cognitive Meta-Learning-Based AI Models for Multimodal Signals
DOI: https://doi.org/10.1016/B978-0-443-40379-8.00011-9
Cognitive and Meta Learning Strategies in Biomedical Research and Healthcare Book chapter
7 July S. Datta, A. K. Nayek, A. Kumar, A. Rai Stock Price Prediction with LSTM-based Framework in Account of Multiple Technical Indicators
DOI: 9789819696499
Proceedings of the International Conference, SCMIM 2025 Conference
8 Das, C., Das, B., Bose, A., Mandal, A., Mishra, A.K., Raghuvanshi, C.S. Machine Learning-Driven Social IoT: Advancing Inter-Connectivity, Intelligence, and Autonomous Systems
DOI: https://doi.org/10.1007/978-3-032-10122-8\_10
Book chapter
9 July S. Mukherjee, S. Dutta, A. Adhikary, A. K. Nayek Performance Analysis of Machine Learning Models in Short-Term Stock Predictions on Indian Market
DOI: 9789819696499
Conference
10 Das, B., Gowda, V. D., Hamad, A. A., Kavitha, B. C., and Kottala, S. Y. Machine Learning Approaches for Predictive Maintenance in Infrastructure Systems
DOI: https://doi.org/10.4018/979-8-3373-5248-0.ch013
Integrating Modern Mathematics and Sensor Technologies in Civil Engineering Book chapter
S.No.MonthAuthor(s)TitleJournalTypeIF
1 September Subir Gupta, Upasana Adhikari, Pinky Pramanik, Subrata Chowdhury, Shreyas J., Anurag Sinha, Saifullah Khalid, Malathi S. Y. Optimising Energy Efficiency in Agricultural Consumer Electronics Using Principal Component Analysis and Deep Q-Learning
DOI: 10.1049/cps2.70029
IET Cyber-Physical Systems: Theory & Applications Journal 1.490
2 September Upasana Adhikari; Subir Gupta; Joyjit Patra; Bibhuti Bhusan Dash; Subrata Chowdhury; Sudhansu Shekhar Patra Prediction of Social Media Virality Through Stacking Ensemble utilising ML Algorithms
DOI: 10.1109/INCET64471.2025.11140919
2025 6th International Conference for Emerging Technology (INCET) Conference
3 April Upasana Adhikari; Subir Gupta; Joyjit Patra Predicting Social Media Virality using Stacking Ensemble with Random Forest, XGBoost and Logistic Regression
DOI: 10.1109/ICICT64420.2025.11005137
2025 International Conference on Inventive Computation Technologies (ICICT) Conference
4 January Mansi Prabha; Arya Raushan; M. D. Nasrullah; Upasana Adhikari; Subir Gupta; Subrata Chowdhury Predictive Modeling of Tiger Population Trends in Indian Reserves
DOI: 10.1109/DASA63652.2024.10836314
2024 International Conference on Decision Aid Sciences and Applications (DASA) Conference
5 Mukherjee, Sabyasachi, Bidesh Chakraborty, and Shatabdi Mondal Biological Disease Prediction Based on Improved Evolutionary Learning
DOI: 10.1007/978-981-96-4032-4_16
Proceedings of Fourth International Conference on Engineering Mathematics and Computing: ICEMC 2024 Conference
6 Sen, T., Gangopadhyay, P., Mukherjee, J., Roy, H. K., & Chakraborty, B Elevating Kidney Disease Classification: Up-Sampling, and Dimensionality Reduction Magic
DOI: 10.1007/978-981-96-4032-4_8
International Conference on Engineering Mathematics and Computing Conference
7 Majhi, S., Halder, S., Sarkar, M., & Chakraborty, B. Fishnet: A Deep Neural Network for Fish Species Classification
DOI: 10.1109/CIACON65473.2025.11189698
International Conference on Computing, Intelligence, and Application (CIACON) Conference
8 Dhar, M., Sen, M., Chakraborty, B., Sen, S., Dholey, M. K., Dey, S., & Bhattacherjee, S. Image Captioning Using VGG-16 and VGG-19: A Mixed Model Approach
DOI: 10.1007/978-981-96-1348-9_16
International Conference on Smart Systems and Wireless Communication Conference
9 Minakshi Sarkar, Souvik Halder, Arya Das, Bidesh Chakraborty, Indrajit Banerjee Dual-Image Based High-Payload Robust Reversible Image Steganography Using Weighted Matrix and LZW Compression with DNN Classification
DOI: 10.1109/ICAAIC64647.2025.11331004
4th International Conference on Applied Artificial Intelligence and Computing, (ICAAIC-2025) Conference
10 Gurdeep singh, Dibyajyoti sarkar, Paulastha Maitra, Minakshi Sarkar, and Bidesh Chakraborty. MedPlanNet: A Lightweight MobileNetV2 Model with Self-Attention for Medicinal Plant Classification 5th International Conference on Communication, Devices, and Computing (ICCDC-2025) Conference
S.No.MonthAuthor(s)TitleJournalTypeIF
1 Intelligent Farm Insect Identification Using Attention-Driven Neural Networks Sarkar, M., Mukherjee, R., Chakraborty, B.
DOI: 10.1007/978-981-96-9239-2_10
Proceedings of Second International Symposium on Artificial Intelligence. ISAI 2025 Conference
2 Dipika Sarkar, Subir Gupta, Pratik Kumar Halder An Examination of Indian Patent Assertions from 2016 to 2021 Through Computational Analysis Techniques Conference
3 JUNE 2024 Abhik Choudhary, Sandip Mukherjee, Bhaswati Roy, Indrani Sengupta, Kalyan Maji, Subir Gupta Optimizing Employee Satisfaction with Health and Safety Using Computational Models and Machine Learning
DOI: 10.1109/62074
2024 International Conference on Circuit, Systems and Communication (ICCSC) Conference
4 Das, B., and Raghuvanshi, C. S. Advanced UAV-based leaf disease detection: Deep Radial Basis Function Networks with multidimensional mixed attention
DOI: https://doi.org/10.1007/s11042-024-20462-x
Multimedia Tools and Applications Journal
5 Das, B., Das, C., and Raghuvanshi, C. Transfer Learning Boosts Ensembles for Precise Sugarcane Leaf Disease Detection
DOI: https://doi.org/10.47738/jads.v5i4.396
Journal of Applied Data Sciences Journal
Intellectual Property

Research Patents

Sl NoAcad YearInventorsPatent TitleAppl. No.Date FiledStatus
1 AY202526 1 . DR.SUBIR GUPTA 2 . Abhinandan Ghosh 3 . Priyanka Roy 4 . Juhi kumari 5 . Abh… SENTIMENT-AWARE STOCK TRADING BOT USING REINFORCEMENT LEARNING 202541075069 07-08-2025 Published
2 AY202425 Sultan Ahmad, Dr. Bidesh Chakraborty, Rajesh Mukherjee, Minakshi Sarkar, Reshmi … Robotic Medicine Picking and Delivering Machine 6412032 18-12-2024 Granted
3 AY202425 Subrata Paul, Bhaskar Maity, Dr Anirban Mitra, Dr Subir Gupta, Kamaluddin M… PREDICTIVE MODELLING AND ANALYSIS FOR FINANCIAL OPPORTUNITIES: A COMPREHENSIVE APPROACH USING DYNAMI 202441046684 18-06-2024 Published
4 AY202425 Dr. Subir Gupta, Mrs. Pinky Pramanik, Mrs. Upasana Adhikari, Mr. Abhik Choudhary… FUTURISTIC SMART WHEELCHAIR: AI-CONTROLLED MOBILITY WITH SMARTPHONE INTEGRATION FOR ENHANCED ACCESSI 202441062449 18-06-2024 Published
5 AY202425 Dr. Santanu Koley, Rajrupa Metia, Rajesh Mukherjee, Dr. Bidesh Chakraborty, Dr. … A CLOUD COMPUTING SYSTEM FOR EXTENDED BATTERY LIFE AND ENHANCED PERFORMANCE 202431004833 25-03-2024 Granted
6 AY202324 Dr. Swapnila Roy,  Prof. (Dr.) Dipak Kumar Jana, Mr. Sudipta Roy, Dr. Bides… BIODEGRADABLE ORGANIC WASTE COMPOSTING MACHINE 164974 21-02-2024 Granted
7 2025-26 S. Bhattacharya, A. K. Nayek, A. Biswas, M. Sen, B. Mondal, A. Halder, S. Roy, L… IOT-Enable Smart Water Health Monitoring and Control System Using LoRA-WAN Communication for Pisciculture. 202431000061A 01-01-2024 Published
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