COMPUTER SCIENCE AND ENGINEERING (ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING)

Year of establishment: 2021
B.Tech. in Computer Science and Engineering (AIML) (4 years) Year of commencement: 2021
Current Intake: 60

B.Tech in Artificial Intelligence and Machine Learning (AIML) is a four-year undergraduate programme to provide an advanced learning opportunity for enthusiastic aspirants who wish to contribute to society by satisfying in-future industry demands for emerging skills and knowledge.

This course aims at developing a strong engineering foundation through different facets of Artificial Intelligence including statistical and probabilistic models, logics, knowledge engineering, and machine learning. After completion of this course, students will be able to design intelligent solutions for various problems of short-term and long-term societal needs. Students will also have the opportunity to explore the related areas like Natural Language Processing, Deep Learning, Robotics and Computer Vision.

OVERVIEW

The Department of Computer Science and Engineering (AI & ML) was established to spearhead the next frontier of digital transformation. The B.Tech in CSE (AI & ML) is meticulously crafted to meet the global surge in demand for specialists who can build intelligent systems, leveraging data-driven insights to solve complex challenges across healthcare, finance, robotics, and sustainable development.
The program seamlessly integrates a rigorous foundation in core Computer Science with specialized training in neural networks, cognitive computing, and data engineering. The curriculum is designed to nurture students who can not only design sophisticated algorithms but also interpret their impact on society, ensuring the development of ethical and responsible AI.
The four-year undergraduate journey provides a robust preparation in Mathematical Foundations, Statistical Modeling, Deep Learning, Natural Language Processing (NLP), and Reinforcement Learning.

Our pedagogical approach imparts 21st-century skills through:

Interdisciplinary Education: Blending technical expertise with liberal arts for a well-rounded perspective.
Project-Based Learning: Real-world problem-solving through the "Cognitive Agricultural Advisor" framework and autonomous system simulations.
Specialized Mentorship: Hands-on sessions with industry experts and academic researchers.
Innovation Ecosystem: Opportunities for UG Research Projects, Product Development, and Internships at premier industrial hubs.

Global leaders like the Massachusetts Institute of Technology (MIT), Carnegie Mellon University, and Stanford University have set the benchmark with standalone programs in AI and Robotics. Similarly, our curriculum emphasizes design thinking, collaboration, and creativity from the very first year.

After 12–15 years of experience, AI & ML professionals typically transition into strategic leadership roles such as Chief AI Officer (CAIO), Director of Data Science, Head of AI Research, or Senior Principal Scientist.

Career Pathways in CSE (AI & ML) at Dr. B. C. Roy Engineering College, Durgapur

AI Research Scientist: Innovate new algorithms and architectures in areas like Graph Neural Networks (GNN) and Temporal Text-Attributed Graphs.
Machine Learning Engineer: Design and deploy scalable ML models into production environments for real-time inference.
Data Scientist: Extract actionable insights from massive datasets using advanced statistical and predictive modeling.
NLP Specialist: Develop systems for language translation, sentiment analysis, and conversational AI interfaces.
Computer Vision Engineer: Build intelligent systems for image recognition, medical imaging analysis, and autonomous vehicle navigation.
AI Architect: Design end-to-end AI infrastructures that integrate LLMs with domain-specific knowledge bases.
Cognitive Systems Developer: Create decision-support systems for specialized sectors like sustainable agriculture and climate forecasting.
Big Data Engineer: Architect robust data pipelines and storage solutions to fuel intensive AI training processes.
AI Ethicist & Compliance Officer: Ensure AI systems are fair, transparent, and compliant with emerging global regulations.
Industry Roles & Certifications: Opportunities in top-tier tech firms and research labs with certifications like Google Professional ML Engineer, AWS Certified Machine Learning, and NVIDIA Deep Learning Institute credentials.

PROGRAM EDUCATIONAL OBJECTIVES FOR B.TECH CSE (Artificial Intelligence & Machine Learning)

A graduate of Computer Science and Engineering (Artificial Intelligence & Machine Learning) will be able to:

PEO1: Be recognized as effective professionals for their applied skills, problem solving capabilities and professional skills in the field of cyber security.
PEO2: Develop themselves as effective communicators that help them for employment in the areas of cyber security and related fields.
PEO3: Incorporate ethical, legal and social implications as outcomes of their profession. PEO4: Actively engage themselves in activities which allow for the continuous development of their computing and cyber security skills.

PROGRAM SPECIFIC OUTCOMES (PSOs) A graduate of Computer Science and Engineering (Artificial Intelligence & Machine Learning) acquires ability to:

PSO1: Develop secure software with vulnerability assessment, and security requirements, designed with the least privileges for the protection of digital applications.
PSO2: Evaluate the function of cyber security by identifying the tools and systems to minimize the risk to an organization’s cyberspace.
PSO3: Apply machine learning models, methods, and techniques for data analysis, data handling, and data visualization for effective decision-making.

LABORATORIES

Artificial Intelligence Lab
Machine Learning Lab
Data Hnadling and Data Visualization Lab
Soft Computing Lab
Programming Language and Data Structure Lab
Object Oriented Programming Lab
Web Development Lab
Networking Lab

PROGRAM OUTCOMES

Program Outcomes (POs) (2024-2025)	Statement
PO1	Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization for the solution of complex engineering problems.
PO2	Problem Analysis: Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
PO3	Design/ Development of Solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for public health and safety, and cultural, societal, and environmental considerations.
PO4	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.
PO5	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.
PO6	The Engineer and Society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal, and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
PO7	Environment and Sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
PO8	Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9	Individual and Teamwork: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO10	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 presentations, and give and receive clear instructions.
PO11	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.
PO12	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.

Program Outcomes (POs) (2025-2026)	Statement	Knowledge and Attitude Profile
PO1	Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.	WK1, WK2, WK3. WK4
PO2	Problem Analysis: Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.	WK1, WK2, WK3, WK4
PO3	Design/ Development of Solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for public health and safety, and cultural, societal, and environmental considerations.	WK5
PO4	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.	WK8
PO5	Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems.	WK2, WK6
PO6	The Engineer and The World: Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment.	WK1, WK5, WK7
PO7	Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws.	WK9
PO8	Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
PO9	Communication: Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences
PO10	Project Management and Finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
PO11	Life-Long Learning: Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change.	WK8

FOCUS AREA

Outcome Based Education
Achieving the Engineering Graduate Attributes
Regular Students' Feedback
Emphasizing Fundamental/Core Concepts & Practical Applications
IT Skill Development
Personality & Communication Skill Development
Values and Ethics
Industry Placements
Online Video Lectures
Programming Competition
Participation in National & International Contests
Projects, Training, Workshops, Seminars, Mock Tests
Students' Counselling

Intensive Laboratory Sessions on Programming, Multimedia & Graphics, Internet Technologies, Databases, Networking, Operating Systems, Computer Organization and Architecture etc.
Guidance for CAT, GATE, GMAT, GRE
Ph.D level Research Guidance
Filing of Patents and Copyrights
Assistance for Academic Placements
Co-curricular and Extra-Curricular Activities
Think IoT Laboratory
IEEE Student Branch
IE(I) Students Chapter
Member of CSI
CSI Students Chapter

Vision

To become a global leader in the field of Artificial Intelligence, nurturing innovative minds for ground-breaking research and development, fostering entrepreneurial spirit and ensuring employability, while making a positive impact on society through AI technology.

Mission

M1: To foster an innovative academic environment that nurtures creative thinking, promotes ground-breaking research in Artificial Intelligence, and cultivates the next generation of global leaders in the field.
M2: To stimulate entrepreneurial spirit by providing opportunities and resources for our students to develop, refine, and apply their AI skills in innovative and enterprising ways, while ensuring their readiness for an increasingly AI-driven job market.
M3: To commit to the responsible application of AI technology, ensuring our research and development efforts contribute to the betterment of society, and addressing the ethical, societal, and environmental implications of AI.

HOD Details

DR. GOUR SUNDAR MITRA THAKUR

B.Tech M.Tech Ph.D.

Contact No:

Contact Email: gour.mitrathakur@bcrec.ac.in

Message from HOD

Welcome to the Department of Artificial Intelligence and Machine Learning! We are excited to have you join us on this journey of learning and discovery.

The dawn of a new era is upon us, one where artificial intelligence and machine learning have become the driving forces behind innovation, creativity, and societal transformation. In this dynamic and ever-evolving field, opportunities abound for those who are eager to explore, innovate, and make a lasting impact.

Here at Dr. B. C. Roy Engineering College Durgapur, our department is committed to nurturing your passion, curiosity, and ambition. We offer a rigorous curriculum, hands-on projects that mirror real-world challenges, and a collaborative environment that fosters teamwork and creativity.

Whether you aspire to advance healthcare through predictive analytics, revolutionize industries with intelligent automation, or contribute to the vital cause of environmental sustainability, the tools and knowledge you gain here will empower you to make a difference.

Join us in this exciting journey of discovery, learning, and innovation. Together, we will shape the future, solve complex problems, and forge a brighter tomorrow.

Your dreams are within reach. Embrace the challenge, and let us guide you towards success.

List of Faculty

DR. GOUR SUNDAR MITRA THAKUR	HOD
Biswajit Saha	Assistant Professor
ARNAB BANERJEE	Assistant Professor
Suman Dasgupta	Assistant Professor
RAJA DEY	Assistant Professor
DEVLINA KARMAKAR	Assistant Professor
Arya Manikya Sinha	Assistant Professor

List of Technical Staff

Achievements

Research Excellence & Scholarly Contributions

Overview-

Active contributor in the fields of Machine Learning, Computer Vision, and Applied AI Systems
Focus on real-world problem solving, including healthcare AI, gesture recognition, ecological monitoring, and intelligent systems
Strong emphasis on interdisciplinary research, integrating AI with domains such as medical imaging, aquatic ecology, and human-computer interaction

Research Output-

Journal Publications: 29
Conference Publications: 25
Book Chapters: 15
Patents Filed/Published: 30

Publications span high-impact journals, reputed international conferences, and edited volumes

Faculty Development & Academic Engagement

Total FDPs Attended (Cumulative): 80+

Participation in AICTE ATAL, NPTEL (IITs), EICT programs, and industry-certified FDPs (TCS, Red Hat)

Active engagement in:
- Workshops on IPR, AI, Deep Learning, Brain-Computer Interface
- Webinars and STTPs from IITs, NITs, and international institutions

Demonstrates strong commitment to continuous learning, curriculum enrichment, and emerging technologies

Awards, Recognition & Academic Contributions

Best Paper Awards at international conferences (CIACON 2025, WILKES 100)
IEEE India Council Recognition for academic mentoring excellence
NPTEL Top Performer (Top 5%)
Invited talks on Artificial Intelligence & Machine Learning
Roles:
- Reviewer for SCI/Scopus journals (SN Computer Science, Multimedia Tools & Applications, Sadhana, etc.)
- Evaluator in Smart India Hackathon
- Chief Head Examiner (MAKAUT)
Industry consultancy in AI-based predictive systems

Research Strength Areas

Artificial Intelligence & Machine Learning
Computer Vision & Medical Imaging
Vision-Language Models (CLIP, Multimodal AI)
Explainable AI
Gesture & Sign Language Recognition
Industrial AI & Predictive Analytics
Embedded AI Systems

Faculty Development Initiatives & Continuous Professional Growth

Extensive Faculty Development Participation:
Faculty members have collectively participated in 80+ Faculty Development Programs (FDPs) across premier platforms including AICTE ATAL Academy, NPTEL (IITs), EICT Academies, and leading industry programs (TCS, Red Hat)
High Individual Engagement:
- Faculty with exceptional FDP participation (40+ programs) demonstrating sustained commitment to pedagogical and technical advancement
- Several faculty members have completed 10–15 FDPs in cutting-edge domains such as:
  - Artificial Intelligence & Machine Learning
  - Deep Learning & Data Science
  - Smart Computing & Emerging Technologies
  - Outcome-Based Education & Accreditation
Certification & Skill Enhancement:
- Certifications from NPTEL (IIT Kharagpur, IIT Madras, IIT Kanpur, IISc Bangalore)
- Industry-recognized credentials such as:
  - TCS AI Faculty Certification
  - Red Hat Certified System Administrator (RHCSA)
Workshops, Seminars & Webinars:
Active participation in programs on:
- Intellectual Property Rights (IPR) & Innovation
- Brain-Computer Interface (International collaboration)
- Agriculture 4.0, Engineering Pedagogy, Accreditation Practices
- Programming, Deep Learning, and emerging AI trends
Pedagogical Excellence:
- Training in Outcome-Based Education (OBE), NBA Accreditation, and modern teaching-learning methodologies
- Adoption of blended learning, flipped classroom, and digital pedagogy frameworks
Impact:
- Continuous upskilling ensures curriculum relevance, industry alignment, and improved student outcomes
- Strong alignment with AICTE, NEP 2020, and global academic standards

Leadership, Coordination & Institutional Contributions

Academic Leadership Roles:
- Faculty serving as Chief Head Examiners (MAKAUT) ensuring academic quality and evaluation integrity
- Active involvement in curriculum delivery, academic planning, and institutional governance
National-Level Academic Engagement:
- Evaluators in prestigious initiatives such as Smart India Hackathon
- Participation in national innovation programs (Toycathon – Ministry of Education & AICTE)
- Recognition as Top Performers in NPTEL (Top 5%)
Research & Editorial Contributions:
- Faculty members serving as reviewers for reputed international journals and conferences, including:
  - SCOPUS-indexed journals
  - SCI/SCIE journals (e.g., Sadhana, Multimedia Tools & Applications, SN Computer Science)
- Contribution to maintaining global research standards and peer-review quality
Academic Outreach & Knowledge Dissemination:
- Delivery of invited lectures on Artificial Intelligence and Machine Learning
- Participation as resource persons, speakers, and mentors in academic programs
Industry & Consultancy Contributions:
- Engagement in industry-driven projects, including:
  - AI-based predictive systems for industrial applications
  - Data-driven digital transformation solutions
- Bridging academia–industry gap through applied research
Recognition & Awards:
- IEEE India Council recognition for academic mentorship
- Multiple Best Paper Awards in international conferences
- Institutional and external teaching excellence recognitions
Institutional Development Contributions:
- Active role in:
  - Accreditation processes (NBA/NAAC readiness through FDP training)
  - Student mentoring and academic guidance
  - Departmental coordination and academic event management

Student Achievements:

Our students have consistently demonstrated excellence across technical, academic, co-curricular, and social responsibility domains, earning numerous certifications and recognitions at institutional, national, and international levels. They have actively participated in a wide range of hackathons, coding competitions, technology bootcamps, and innovation challenges, including national-level events, campus hackathons, and industry-oriented competitions. Many students have successfully completed certifications in areas such as Artificial Intelligence, Data Science, Cybersecurity, Programming (C, C++, Java, Python, JavaScript), Cloud Computing, Ethical Hacking, Computer Vision, and Data Structures & Algorithms, along with professional training programs and internships offered by reputed organizations and technology communities. Students have also achieved notable success in Google Cloud Study Jams, national hackathons, coding contests, and technology-driven innovation programs, securing top ranks, participation certificates, and winning positions in several events.

In addition to technical excellence, students have actively contributed to social and community initiatives such as blood donation camps, yoga camps, tree plantation drives, and digital well-being awareness programs, reflecting their commitment to social responsibility and holistic development. They have also showcased remarkable performance in sports and extracurricular activities, participating in events such as athletics (100m, 200m, 400m races), shot put, discus throw, rock climbing, and annual sports competitions, earning participation certificates, prizes, and recognition. Furthermore, students have taken leadership roles in technical clubs, innovation cells, and student communities, and have participated in national-level quizzes, workshops, seminars, and training programs. These achievements highlight the department’s strong emphasis on skill development, innovation, leadership, and overall student growth, preparing students to excel both academically and professionally.

Laboratories

Embedded AI Research Laboratory
Computer Vision Research Laboratory

Area of Research

Artificial Intelligence in manifold applications
Embedded AI and IoT
Computer Vision and Image Understanding
Computional Neuroscience
Social Netwrok Analysis

Faculty Activity

Publications

Journal

Date	Name	Description	DOI	Link
13-04-2026	RAJA DEY	Towards Accurate Skin Cancer Diagnosis: A Hybrid MOGA‑ANN Model for Precision Classification and Detection : Sanket Dan, Jayshree Bhattacharya, Raja Dey : Journal of The Institution of Engineers (India): Series B	DOI	View
27-12-2025	ARNAB BANERJEE	FINDER: Fish Identification using Deep Ensemble Recognition : Rahul Meshram, Ankit Kurmi, Arnab Banerjee, Debotosh Bhattacharjee, Nibaran Das : International Journal of Information Technology	DOI	View
08-12-2025	ARNAB BANERJEE	Decoding brain tumors: an attention-guided hybrid learning framework for multi-class classification of MRI images : Soham Bandyopadhyay, Arnab Banerjee, Bhumik Roy, Ankur Lodh : International Journal of Information Technology	DOI	View
05-11-2025	DR. GOUR SUNDAR MITRA THAKUR	Crack localization in RCC slabs using acoustic emission data and multilayer perceptron : Soumyadip Das, Aloke Kumar Datta, Pijush Topdar, Gour Sundar Mitra Thakur, Sanjay Sengupta : Asian Journal of Civil Engineering	DOI	View
02-07-2025	Biswajit Saha	Supervised Machine Learning Algorithms Used In The Detection Of Rice Blast Disease : BISWAJIT SAHA , GOUR SUNDAR MITRATHAKUR : INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENES	DOI	View
02-07-2025	DR. GOUR SUNDAR MITRA THAKUR	Supervised Machine Learning Algorithms Used In The Detection Of Rice Blast Disease : Biswajit Saha, Gour Sundar Mitra Thakur : INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENES	DOI	View
14-06-2025	DR. GOUR SUNDAR MITRA THAKUR	Hybrid semantic model based on machine learning for sentiment classification of consumer reviews : Palaniraj Rajidurai Parvathy, Nagarajan Mohankumar, Rajendran Shobiga, Gour Sundar Mitra Thakur, Mamatha Bandaru, Velusamy Sujatha, Shanmugam Sujatha : IAES International Journal of Artificial Intelligence (IJ-AI)	DOI	View
21-02-2025	Biswajit Saha	Hybrid Deep Learning Models in Image Classification: Integrating CNNs with Attention, Capsule Networks, and Graph Neural Networks : Amitabha Mandal, Biswajit Mondal, Prabal Kumar Sahu, Chandan Das, Nilkamal Bhunia, Biswajit Saha : Journal of Information Systems Engineering and Management	DOI	View
14-06-2024	DR. GOUR SUNDAR MITRA THAKUR	A dense sub-graph-based approach for automatic detection of optic disc : Subrata Jana, Gour Sundar Mitra Thakur, Tribeni Prasad Banerjee, Pabitra Mitra : Int. J. of Bioinformatics Research and Applications	DOI	View
07-12-2023	ARNAB BANERJEE	Skin Diseases Detection Using LBP and WLD: An Ensembling Approach : Arnab Banerjee, Somenath Sarkar, Mita Nasipuri, Nibaran Das : SN COMPUTER SCIENCE	DOI	View
01-07-2023	Biswajit Saha	Complex Networks, Communities, and Clustering: A survey : Biswajit Saha, Amitabha Mandal, Soumendu Bikas Tripathy & Debaprasad Mukherjee : Indian Journal of Educational Technology	DOI	View
10-03-2023	Biswajit Saha	Optimized EEG Based Mood Detection with Signal Processing and Deep Neutral Networks for Brain-Computer Interface : Subhrangshu Adhikary, Kushal Jain, Biswajit Saha and Deepraj Chowdhury : Biomedical Physics & Engineering Express.	DOI	View
18-03-2022	ARNAB BANERJEE	Carp-DCAE: Deep convolutional autoencoder for carp fish classification : Arnab Banerjee, Arijit Das, Samarendra Behra, Debotosh Bhattacharjee, Nagesh Talagunda Srinivasan, Mita Nasipuri, Nibaran Das : Computer and Electronics in Agriculture	DOI	View
25-11-2020	ARNAB BANERJEE	Weber local descriptor for image analysis and recognition: a survey : Arnab Banerjee, Nibaran Das & K. C. Santosh : The Visual Computer	DOI	View
05-04-2018	DR. GOUR SUNDAR MITRA THAKUR	Modelling Stock Portfolio Selection Problem using Dempster-Shafer Evidence Theory : Gour Sundar Mitra Thakur, Rupak Bhattacharyya, Seema Sarkar Mondal : Journal of King Saud University- Computer and Information Sciences, Elsevier	DOI	View
30-03-2018	Biswajit Saha	Green Computing: Current Research Trends : Biswajit Saha : International Journal of Computer Sciences and Engineering	DOI	View
30-09-2017	Biswajit Saha	Analysis of Applications of Object Orientation to Software Engineering, Data Warehousing and Teaching Methodologies : Biswajit Saha, Debaprasad Mukherjee : International Journal of Computer Sciences and Engineering	DOI	View
01-08-2016	Biswajit Saha	Optimization of Geometry, Processes, Signals and Systems in Real World Engineering Problems by Cuckoo Search – A Survey of Recent Literature : Biswajit Saha , Shalini Mahato , Debaprasad Mukherjee : International Journal of Computer Trends and Technology	DOI	View
01-03-2016	DR. GOUR SUNDAR MITRA THAKUR	Artificial Neural Network Based Model for Forecasting of Inflation in India : Gour Sundar Mitra Thakur, Rupak Bhattacharyya, Seema Sarkar Mondal : Fuzzy Information and Engineering	DOI	View
27-03-2015	Biswajit Saha	E – COMMERCE ADOPTION BY MICRO SMALL AND MEDIUM SIZED ENTERPRISES OF BANGLADESH : BISWAJIT SAHA : INTERNATIONAL JOURNAL OF MANAGEMENT (IJM)	DOI	View
01-08-2014	Biswajit Saha	Green Computing : Biswajit Saha : International Journal of Computer Trends and Technology (IJCTT)	DOI	View
08-07-2014	DR. GOUR SUNDAR MITRA THAKUR	Design and Implementation of Fuzzy Rule Based Expert System for Employees Performance Appraisal in IT Organizations : Ashima Aggarwal, Gour Sundar Mitra Thakur : I.J. Intelligent Systems and Applications	DOI	View
28-02-0213	DR. GOUR SUNDAR MITRA THAKUR	Techniques of performance appraisal-a review : Ashima Aggarwal, Gour Sundar Mitra Thakur : International Journal of Engineering and Advanced Technology (IJEAT)	DOI	View

Conference

Date	Name	Description	DOI	Link
01-04-2026	Biswajit Saha	Optimization Techniques Used in Long-Term Traffic Forecasting : Ankita Bandyopadhyay, Debarun Das, Sneharta Roy & Biswajit Saha : NOIEAS 2024	DOI	View
01-04-2026	Biswajit Saha	Advancements and Challenges in Image-Based Cyberbullying Detection: A Comprehensive Review : Bidisha Haldar, Chaitali Saha, Gour Sundar Mitra Thakur & Biswajit Saha : NOIEAS 2024	DOI	View
01-04-2026	DR. GOUR SUNDAR MITRA THAKUR	Advancements and Challenges in Image-Based Cyberbullying Detection: A Comprehensive Review : Bidisha Haldar, Chaitali Saha, Gour Sundar Mitra Thakur, Biswajit Saha : 2nd International Conference on Numerical Optimization in Engineering and Sciences (NOIEAS-2024)	DOI	View
20-02-2026	DEVLINA KARMAKAR	LP-GRU Model: A Graph Analytics Approach to Detect Misinformation Infiltrators in Online Communities : Devlina Karmakar, Mariana Curado Malta, Giridhar Maji, Animesh Dutta : COMSNETS 2025	DOI	View
21-11-2025	ARNAB BANERJEE	Carp-Trans-Attention: Applying Attention to the Pre-trained Convolutional Feature Maps for Carp Classification : Arnab Banerjee, Chandni Prasad, Debotosh Bhattacharjee, Nibaran Das : 3rd International Conference on Data, Electronics and Computing	DOI	View
21-11-2025	ARNAB BANERJEE	Optimizing Carp Fish Classification with Weighted Voting Ensemble : Rahul Meshram, Arnab Banerjee, Samarendra Behera, Nagesh Talagunda Srinivasan, Debotosh Bhattacharjee & Nibaran Das : International Conference on Data, Electronics and Computing	DOI	View
09-10-2025	DR. GOUR SUNDAR MITRA THAKUR	Sequential Pixel Perturbations via Reinforcement Learning for Targeted Manipulation of Image-Based Recommender Systems : Varad Pawar; Gour Sundar Mitra Thakur; Abhijit Banerjee : International Conference on Computing, Intelligence, and Application (IEEE CIACON 2025)	DOI	View
09-10-2025	DR. GOUR SUNDAR MITRA THAKUR	A Self-Supervised Framework for Anomaly Detection and Predictive Maintenance in Steel Rod Mills : Sumit Ram; Pranabasish Mandal; Souvik Mandal; Abhijit Banerjee; Gour Sundar Mitra Thakur : International Conference on Computing, Intelligence, and Application (IEEE CIACON 2025)	DOI	View
27-02-2025	ARNAB BANERJEE	White Blood Cells Detection Using Saliency Maps and Sample Learning for Leukemia Severity Analysis : Arnab Banerjee, Dhruv Rathee, Nibaran Das : International Conference on Data, Electronics and Computing	DOI	View
03-02-2024	DR. GOUR SUNDAR MITRA THAKUR	Diabetes Prediction Using Machine Learning: A Detailed Insight : Gour Sundar Mitra Thakur, Subhayu Dutta, Bratajit Das : International Conference on Computational Sciences and Sustainable Technologies	DOI	View
23-11-2023	DR. GOUR SUNDAR MITRA THAKUR	Review on Air Pollution Monitoring using AI : Alaknanda Tiwari; Shivani Gupta; Gour Sundar Mitra Thakur : 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)	DOI	View
20-11-2023	Arya Manikya Sinha	Detecting Depression and Suicidal Ideation from Texts using Machine Learning & Deep Learning Techniques : Arya Manikya Sinha, Debjyoti Prodhan, Sumit Gupta, Nirnay Ghosh, Souvik Modak : International Journal of Computer Science and Engineering	DOI	View
29-08-2023	ARNAB BANERJEE	SegFishHead: A Semantic Segmentation Approach for the identification of fish species in a Cluttered Environment : Arnab Banerjee; Debotosh Bhattacharjee; Nagesh Talagunda Srinivasan; Samarendra Behra; Nibaran Das : International Conference on Computer, Electronics & Electrical Engineering & their Applications (IC2E3)	DOI	View
26-05-2023	ARNAB BANERJEE	CARP-YOLO: A Detection Framework for Recognising and Counting Fish Species in a Cluttered Environment : Arnab Banerjee; Debotosh Bhattacharjee; Nibaran Das; Samarendra Behra; Nagesh Talagunda Srinivasan : 2023 4th International Conference for Emerging Technology (INCET)	DOI	View
26-04-2023	ARNAB BANERJEE	Deep Learning-Based Identification of Vegetable Species: System for Specially Abled Persons : Siddhartha Sinha, Arnab Banerjee, Vishal Kumar Patel, Akshay Kisku, Khushi Singh, Debrik Chakraborty & Nibaran Das : 10th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA 2022)	DOI	View
10-04-2023	Biswajit Saha	Opinion Mining and Sentiment Analysis on Twitter Data : Akanksha Priya; Sashwat Jha; Biswajit Saha; Chandan Koner : 2022 International Interdisciplinary Conference on Mathematics, Engineering and Science (MESIICON)	DOI	View
10-04-2023	DR. GOUR SUNDAR MITRA THAKUR	Risk and Weightage Based Route Prediction System Using Machine Learning: A Review : Snigdha Kesh, Gour Sundar Mitra Thakur : 2022 International Interdisciplinary Conference on Mathematics, Engineering and Science (MESIICON). IEEE	DOI	View
01-12-2022	ARNAB BANERJEE	A Deep Learning-Powered Voice-Enabled Math Tutor for Kids : Arnab Banerjee, Srijoy Paul, Tisu Priya, Anamika Rohit & Nibaran Das : Recent Trends in Image Processing and Pattern Recognition	DOI	View
21-06-2022	ARNAB BANERJEE	Deep Learning Based Identification of Three Exotic Carps : Arnab Banerjee, Roopsia Chakraborty, Samarendra Behra, Nagesh Talagunda Srinivasan, Debotosh Bhattacharjee & Nibaran Das : Computational Intelligence in Pattern Recognition	DOI	View
18-11-2021	Biswajit Saha	Fuzzy Logic on Long Short-Term Memory for Smart Person-Identification System through Electroencephalogram : Subhrangshu Adhikary; Kushal Jain; Biswajit Saha; Chandan Koner : 2021 6th International Conference on Signal Processing, Computing and Control (ISPCC)	DOI	View
02-10-2021	DR. GOUR SUNDAR MITRA THAKUR	Identification of the Diseased Portions of an Infected Aloe Vera Leaf by Using Image Processing and k-Means Clustering : Sudip Chatterjee, Gour Sundar Mitra Thakur : International Conference on Computational Intelligence (ICCI 2020)	DOI	View
29-04-2017	ARNAB BANERJEE	Texture Classification Using Deep Neural Network Based on Rotation Invariant Weber Local Descriptor : Arnab Banerjee, Nibaran Das, Mita Nasipuri : Recent Trends in Image Processing and Pattern Recognition	DOI	View

Book Chapter

Date	Name	Description	Editor	ISBN	DOI	Link
06-02-2026	Biswajit Saha	Introduction to Digital Health and Prevention : BISWAJIT SAHA; DHARMPAL SINGH; GOUR SUNDAR MITRA THAKUR : Reshaping Health Promotion and Disease Prevention Through Digital Innovation	Sónia Remondes Costa and Jorge Remondes	9798337335315	DOI	View
06-02-2026	DR. GOUR SUNDAR MITRA THAKUR	Introduction to Digital Health and Prevention : BISWAJIT SAHA; DHARMPAL SINGH; GOUR SUNDAR MITRA THAKUR : Reshaping Health Promotion and Disease Prevention Through Digital Innovation, edited by Sónia Remondes Costa and Jorge Remondes	Sónia Remondes Costa and Jorge Remondes,	9798337335315	DOI	View
10-12-2025	Biswajit Saha	Introduction to Wearable Medical Devices in Healthcare : BISWAJIT SAHA; DHARMPAL SINGH; GOUR SUNDAR MITRA THAKUR : Wearable Medical Device Security and Network Protection for Reliable Healthcare	Pandimurugan V., Rajaram V., Chinnasamy A., Sountharrajan S., and Amudhavel Jayavel	9798337344126	DOI	View
10-12-2025	DR. GOUR SUNDAR MITRA THAKUR	Introduction to Wearable Medical Devices in Healthcare : BISWAJIT SAHA; DHARMPAL SINGH; GOUR SUNDAR MITRA THAKUR : Wearable Medical Device Security and Network Protection for Reliable Healthcare	andimurugan V., Rajaram V., Chinnasamy A., Sountharrajan S., and Amudhavel Jayavel	9798337344126	DOI	View
27-11-2025	Biswajit Saha	Project- Based Learning : Biswajit Saha, Gour Sundar Mitra Thakur : Project- Based Learning, Competency- Based Assessments, and Experiential Education for Modern Learners	Maria Athanasekou, Andonis Zagorianakos	9798337349572	DOI	View
27-11-2025	DR. GOUR SUNDAR MITRA THAKUR	Project- Based Learning : Biswajit Saha, Gour Sundar Mitra Thakur : Project- Based Learning, Competency- Based Assessments, and Experiential Education for Modern Learners	Maria Athanasekou, Andonis Zagorianakos,	9798337349572	DOI	View
30-10-2025	Biswajit Saha	Introduction to IoT in Healthcare: Trends and Applications : BISWAJIT SAHA; DHARMPAL SINGH; GOUR SUNDAR MITRA THAKUR : Resilient Healthcare Internet of Things Systems: Architectures, Security, and Trust	Chin- Shiuh Shieh, Pawan Kumar Goel, Mong- Fong Horng, Hari Mohan Pandey	9798337376103	DOI	View
30-10-2025	DR. GOUR SUNDAR MITRA THAKUR	Introduction to IoT in Healthcare: Trends and Applications : BISWAJIT SAHA; DHARMPAL SINGH; GOUR SUNDAR MITRA THAKUR : Resilient Healthcare Internet of Things Systems: Architectures, Security, and Trust	Chin- Shiuh Shieh, Pawan Kumar Goel, Mong- Fong Horng, Hari Mohan Pandey	9798337376103	DOI	View
24-06-2025	DR. GOUR SUNDAR MITRA THAKUR	Artificial Neural Network for Industrial Applications : Biswajit Saha, Gour Sundar Mitra Thakur : Controller Design for Industrial Applications	Arindam Mondal, Souvik Ganguli	9781394287079	DOI	View
08-06-2025	RAJA DEY	: BIKRAMJIT SARKAR, KAUSHIK ROY CHOUDHURY,RAJA DEY, PIJUSH KANTI GHOSH : PYTHON ESSENTIALS: A FAST-TRACK GUIDE FOR BEGINNERS		978-93-6581-329-6	DOI	View
23-05-2025	Biswajit Saha	Artificial Neural Network for Industrial Applications : Biswajit Saha, Gour Sundar Mitra Thakur : Controller Design for Industrial Applications	Arindam Mondal, Souvik Ganguli	9781394287079	DOI	View
15-05-2025	RAJA DEY	: MR. RAJA DEY, MR. SUBHODIP KOLEY, MR. KAUSHIK ROY CHOUDHURY, MR. PRONAY PAL : Data Structure with Python		978-93-6426-020-6	DOI	View
24-12-2024	DR. GOUR SUNDAR MITRA THAKUR	AI in Vocational Education and Training: Technologies and Applications : Gour Sundar Mitra Thakur, Abhijit Banerjee, Paramita Sarkar : Transforming Vocational Education and Training Using AI	Eriona Çela, Narasimha Rao Vajjhala, Rajasekhara Mouly Potluri, Philip Eappen	9798369382523	DOI	View
29-10-2021	DR. GOUR SUNDAR MITRA THAKUR	Diagnosis and Treatment of Cardiac Patients During the Pandemic Situation Due to COVID-19 : Sudip Chatterjee, Gour Sundar Mitra Thakur, Shyamapriya Chowdhury : Medical Internet of Things	Anirban Mitra, Jayanta Mondal, Anirban Das	9780429318078	DOI	View

Patents

Title	Name	Patent Number	Patent Office	Date	Status	Country	Application No.	Abstract
CYBER INTELLIGENCE SENSOR FOR DETECTING AND RESPONDING TO THREATS	RAJA DEY	11/2026	KOLKATA, Controller General of Patents, Designs and Trademarks	13-03-2026	PUBLISED	INDIA	458001-001	This is a design patent. So it is pure diagrammatic representation only.
Al-POWERED BIONIC SPINE SUPPORT DEVICE	DR. GOUR SUNDAR MITRA THAKUR	6479911	41 High St, Chesham HPS 1BW, United Kingdom, CHESHAM, HPS 1BW	24-10-2025	Published	UK	6479911
Door view camera	DR. GOUR SUNDAR MITRA THAKUR	6476616	Allinnov Research and Development Private Limited # 10, Sycamore Court, Brook Road, REDHILL, RH1 6BQ	17-10-2025	Registered	UK	6476616
HYBRID OPTIMIZATION OF NEURAL NETWORKS A MULTIOBJECTIVE GENETIC APPROACH FOR ENHANCED CLASSIFICATION	RAJA DEY	LD-20250165359	KOLKATA	26-05-2025	REGISTERED	INDIA	33895/2024-CO/L	HYBRID OPTIMIZATION OF NEURAL NETWORKS A MULTIOBJECTIVE GENETIC APPROACH FOR ENHANCED CLASSIFICATION
Culturally-Aware Adaptive Cybersecurity Framework for Marginalized Communities (CACF-MC)	RAJA DEY	21/2025	KOLKATA	23-05-2025	PUBLISED	INDIA	202531045864 A	The present invention relates to a culturally-aware, adaptive cybersecurity framework (CACF-MC) designed to protect marginalized and digitally underserved communities from cybersecurity threats such as phishing, identity fraud, malware, and misinformation. The invention comprises a modular architecture that integrates a Lightweight AI Threat Detection Engine (LAI-TDE), a Culturally-Aware Privacy Education Interface (CAPEI), an Anonymous Digital Identity Vault (ADIV), a Community-Based Trust Network (CTN), and a Decentralized Ledger Backplane (DLB). These components collectively operate in both online and offline environments, leveraging edge computing, federated learning, multilingual interfaces, and decentralized identity standards to deliver inclusive, privacy-preserving, and context-sensitive cybersecurity. The framework emphasizes digital resilience, user autonomy, and compliance with data protection regulations, enabling secure digital participation for populations with limited connectivity, digital literacy, and formal identification credentials.
An IoT-Driven Smart Cradle System for Modern Parenting	RAJA DEY	21/2025	KOLKATA	23-05-2025	PUBLISED	INDIA	202531045910 A	The present invention relates to an IoT-driven smart cradle system designed to enhance infant care by integrating automated soothing mechanisms, real-time monitoring, and remote accessibility. The system includes a cradle equipped with motion, sound, and environmental sensors to monitor the baby’s movements, crying patterns, and room conditions. Based on the sensor data, the cradle autonomously activates soothing actions such as gentle rocking, playing lullabies, or adjusting the room’s temperature and humidity. Parents can remotely control and monitor the cradle through a mobile application, receiving real-time alerts and updates on their baby’s well-being. Safety features, such as obstruction detection and automatic motion cessation, are incorporated to ensure the baby’s safety. By combining automation, IoT connectivity, and user-friendly controls, the smart cradle system provides a responsive, efficient, and safe solution for modern parenting, reducing parental stress while ensuring the baby’s comfort and security.
AI - Content Recommendation Integrated with Library Management System (LMS)	RAJA DEY	21/2025	KOLKATA	23-05-2025	PUBLISED	INDIA	202531046207 A	The present invention relates to an AI-powered content recommendation system integrated with a library management system (LMS), designed to enhance user experience and streamline library operations. Built on the MERN stack (MongoDB, ExpressJS, ReactJS, NodeJS), the system utilizes a content-based filtering algorithm that generates personalized book recommendations based on user preferences and behavioral data. Upon registration, users provide initial preferences—such as favorite genres, authors, and languages—which are used to overcome the cold-start problem and deliver relevant recommendations from the outset. The system continuously refines these suggestions through real-time user profiling and feedback analysis. The user interface is designed to limit decision fatigue by displaying a focused set of recommendations, while library administrators benefit from a comprehensive dashboard for managing inventory, monitoring usage analytics, and optimizing resource allocation. The integrated solution modernizes traditional library environments by promoting deeper engagement with reading materials, improving content discoverability, and enabling data-driven decision-making in library operations.
IoT-Enabled Prison Break Detection and Alert System Using RF Technology	RAJA DEY	20/2025	KOLKATA	16-05-2025	PUBLISED	INDIA	202531045539 A	The present invention relates to an IoT-enabled prison break detection and alert system utilizing RF communication technology to enhance correctional facility security. The system integrates a central microcontroller with a network of AI-powered surveillance cameras, infrared and motion sensors, and pressure-sensitive floor panels to monitor inmate activity in real time. A biometric authentication module, including facial recognition and fingerprint scanning, restricts access to secure zones. Upon detecting unauthorized movement or failed authentication attempts, the system automatically generates alerts that are transmitted via SMS, email, and mobile applications to designated security personnel. Simultaneously, an automated lockdown mechanism is triggered to seal all exits and prevent escape. Data from all sensors and events is logged and stored on a cloud-based server for post-incident analysis and security optimization. The system is modular, scalable, and compatible with existing prison infrastructure, providing a cost-effective and proactive solution to improve prison security and reduce reliance on manual surveillance
Intelligent Skin Disease Diagnosis Using AI-Enhanced Dermatoscope	RAJA DEY	15/2025	KOLKATA	11-04-2025	PUBLISED	INDIA	202531033781 A	The present invention relates to an AI-powered dermatoscope designed to enhance the diagnosis of skin diseases by integrating high-resolution imaging with advanced machine learning algorithms. The device captures detailed images of skin lesions, processes these images using AI to analyze features such as texture, color, and morphology, and provides real-time diagnostic results with confidence scores. The system includes a user interface for displaying the diagnostic output and treatment recommendations, as well as a connectivity module for seamless integration with cloud-based systems for data storage, remote diagnostics, and continuous AI model improvement. This AI-enhanced dermatoscope improves diagnostic accuracy, increases accessibility to dermatological care, and reduces reliance on specialist consultations, particularly in underserved or remote areas, offering a cost-effective solution to enhance patient outcomes and efficiency in skin disease diagnosis.
DATA ANALYSIS SYSTEM FOR PREDICTING CONSUMER SATISFACTION	Suman Dasgupta			10-04-2025	Approved	India	454967-001
Advanced Drone Solutions for Precision Farming with IoT Connectivity	RAJA DEY	13/2025	KOLKATA	28-03-2025	PUBLISED	INDIA	202531026945 A	The invention provides an IoT-enabled drone system for precision farming that integrates unmanned aerial vehicles (UAVs) with advanced sensors to monitor and analyze crop health, soil conditions, and environmental factors in real-time. The system utilizes wireless communication to transmit collected data to a centralized platform, where machine learning algorithms process the information and generate actionable insights. These insights help farmers make informed decisions regarding irrigation, fertilization, pest control, and harvesting, optimizing resource usage and enhancing crop yields. The system automates data collection, decision-making, and intervention recommendations, reducing labor costs, minimizing resource waste, and promoting sustainable farming practices. The invention offers a scalable solution applicable to farms of any size, contributing to more efficient and profitable agriculture.
Wearable IoT Device for Real-Time Monitoring and Early Detection of Brain Stroke Using Bio magnetic Sensors	RAJA DEY	13/2025	KOLKATA	28-03-2025	PUBLISED	INDIA	202531026887 A	The invention provides a wearable IoT device for real-time monitoring and early detection of brain strokes using bio magnetic sensors. The device comprises a bio magnetic sensor array for detecting magnetic fields generated by neuronal activity, a signal processing unit to amplify and filter the sensor data, and an IoT module for transmitting the data to a cloud-based platform. A machine learning algorithm analyzes the data in real-time to identify abnormal patterns indicative of a stroke, triggering an alert system that notifies both the user and healthcare providers. This non-invasive, portable device offers continuous monitoring and enables timely intervention, overcoming the limitations of traditional diagnostic methods by providing a cost-effective and accessible solution for stroke detection.
Smart water management system for urban areas	RAJA DEY	13/2025	KOLKATA	28-03-2025	PUBLISED	INDIA	202531009414 A	The Smart Water Management System (SWMS) is an innovative solution designed to optimize water distribution in urban areas facing water scarcity. By integrating Artificial Intelligence (AI), Machine Learning (ML), and Internet of Things (IoT) technologies, the system monitors real-time water flow, pressure, and quality through IoT sensors placed throughout the water distribution network. Using data from these sensors, weather forecasting APIs, and historical consumption patterns, the system predicts future water demand, detects anomalies such as leaks, and adjusts water flow through automated smart valves and pumps. This dynamic, real-time management ensures the efficient and equitable distribution of water resources, reduces wastage, and improves the sustainability of urban water systems. The system is adaptable, scalable, and capable of addressing the challenges of water management in rapidly growing urban environments
HEALTH MONITORING DEVICE FOR BRIDGES	Biswajit Saha	452310-001	Indian Patent Office	21-03-2025	Design	India	452310-001	Parameters regarding the bridge health will monitored through the design .
A New Technique for Attendance Management through Face Recognition	RAJA DEY	12/2025	KOLKATA	21-03-2025	PUBLISED	INDIA	202531015266 A	In this pandemic, almost all the works are concluded from home in an online mode. All the schools, colleges, MNCs, offices, banks and many more workplaces are terminated to avoid gatherings. Apart from these, our India is going to become Digital India soon and so we need new technologies in every field possible. It has been difficult to manage the attendance of students and employees manually. Various issues like proxy or missing attendance have arisen. So, we have come up with an idea of making ‘Attendance Management System Through, Face Recognition’ which is going to solve the issue. We have done it possible by using the stacks IDLE python and XML. In the modern world when the education system is changing every day, it is a replacement of traditional methods and manual effort that will help to give more prominent results in less time. There are various biometric processes but face recognition is one of the best methods. With the help of a camera and face recognition system attendance is taken, as face is the identity of every human and in this system, machines will be able to identify the person by detecting face and attendance will be recorded. The system is easily operated and the accuracy level is better than manual Attendance System
Intelligent Women’s Safety Monitoring and Intervention System Using AI-Driven Predictive Analytics	RAJA DEY	11/2025	KOLKATA	14-03-2025	PUBLISED	INDIA	202531014805 A	The present invention relates to an Intelligent Women's Safety Monitoring and Intervention System that uses AI-driven predictive analytics to enhance personal safety. The system integrates a discreet wearable device, a mobile application, and an AI analytics engine to monitor real-time data, predict potential threats, and provide immediate intervention. The wearable device collects physiological and environmental data, while the mobile app serves as an interface for the user to manage safety settings and receive alerts. The AI engine analyzes user behavior, environmental factors, and historical data to proactively identify risks and initiate automated safety measures such as emergency notifications, location tracking, and communication with authorities. This system offers a comprehensive, proactive approach to protecting women from potential harm, ensuring timely responses and empowering users with greater control over their safety.
Revolutionizing Smart Living: HomeSync's Bluetooth-Based Home Automation System	RAJA DEY	10/2025	KOLKATA	07-03-2025	PUBLISED	INDIA	202531013320 A	The HomeSync system is a Bluetooth-based home automation solution that integrates a microcontroller platform with smart devices to provide users with a centralized control hub for managing their home environment. The system utilizes Bluetooth communication between a smartphone or tablet application and the microcontroller, enabling users to remotely monitor and control devices such as lights, thermostats, and security sensors. Through an intuitive mobile app, users can create automation routines, schedule device operations, and receive real-time status updates, enhancing convenience, energy efficiency, and security. Designed for scalability, HomeSync allows for future expansions, ensuring long-term compatibility with emerging smart home technologies.
AI-Driven Crop Pricing Prediction Model	RAJA DEY	09/2025	KOLKATA	28-02-2025	PUBLISED	INDIA	202531013007 A	The AI-Driven Crop Pricing Prediction Model is an advanced machine learning-based system designed to forecast crop prices by analyzing various factors such as weather conditions, market trends, demand-supply dynamics, and government policies. The model collects and preprocesses real-time data from diverse sources, including weather forecasts, agricultural market prices, and consumer demand indices. Using sophisticated algorithms like Long Short-Term Memory (LSTM) networks and ensemble learning, the system generates accurate, region-specific crop price predictions. The model provides farmers with actionable insights through a userfriendly interface, accessible via mobile applications and web dashboards, offering features like real-time alerts, optimal harvest timing, and price forecasts. By empowering farmers with precise, data-driven information, the model helps optimize their decisions on planting, harvesting, and selling crops, ultimately improving income stability and promoting sustainable agricultural practices.
Smart energy harvesting window film	RAJA DEY	07/2025	KOLKATA	14-02-2025	PUBLISED	INDIA	202531010629 A	The Smart Energy Harvesting Window Film is an innovative, multifunctional film designed to convert ordinary windows into energy-generating surfaces. The film integrates nano-photovoltaic cells that efficiently capture solar energy while maintaining transparency, allowing light to pass through without compromising visibility. Additionally, it features electrochromic materials that dynamically adjust the film's opacity based on sunlight intensity, reducing glare and heat to improve indoor comfort. The film includes integrated energy storage capabilities, such as micro-batteries or supercapacitors, to store excess energy for later use, and it is coated with a self-cleaning superhydrophobic layer to maintain performance. Compatible with IoT devices, the film can be controlled remotely via mobile apps or smart home systems for optimized energy management. This invention offers a sustainable, space-efficient, and aesthetically pleasing solution for reducing energy consumption, lowering costs, and enhancing comfort in residential, commercial, and automotive applications
A SYSTEM AND METHOD FOR DETECTING FAULTS IN STREETLIGHTS AND AUTOMATING REMOTE ASSISTANCE USING ADVANCED NETWORK COMMUNICATION	Biswajit Saha	202531006431 A	Indian Patent Office	07-02-2025	Published	India	202531006431 A	This innovative approach integrates LDR modules, ACS712 current sensors, and ESP32 modules to create a centralized monitoring system that provides real-time fault detection and automated responses. Each streetlight pole is equipped with sensors to measure light intensity and current consumption, while the ESP32 module processes this data and transmits it using the ESP-NOW protocol. To overcome range limitations, a hop-based data relay mechanism is employed, ensuring seamless communication between poles and the central server. Fault data is analysed locally in the smart box and transmitted to a centralized database via GPRS for remote monitoring and decision-making. Custom software visualizes real-time data, enabling authorities to monitor streetlights effectively, identify faults such as light outages and current leakages, and take proactive measures. The system not only reduces maintenance costs and downtime but also enhances public safety by automating fault detection and enabling remote actions like deacti
Enhanced Electromagnetic Field (EMF) Meter with GPS-Enabled Location Tracking, Mobile Connectivity, and Multi-Visit Comparative Analysis for Longitudinal Environmental Monitoring	RAJA DEY	06/2025	KOLKATA	07-02-2025	PUBLISED	INDIA	202531007643 A	The invention relates to electromagnetic field (EMF) measurement devices, particularly an advanced EMF meter with integrated GPS for location tracking, mobile connectivity via Bluetooth, time-stamped recording capabilities, and multi-visit comparative analysis. The invention is intended to improve the precision, convenience, and data-sharing capabilities of EMF measurement, particularly useful in environmental safety, industrial monitoring, and research applications.
AI-Enhanced Chemical Sensor System for Real-Time Environmental Monitoring	RAJA DEY	05/2025	KOLKATA	31-01-2025	PUBLISED	INDIA	202531005598 A	The AI-Enhanced Chemical Sensor System for Real-Time Environmental Monitoring integrates a chemical sensor array to detect multiple environmental parameters, such as air quality, water pollutants, and greenhouse gases, with high sensitivity and accuracy. It features an AI-driven analysis engine for real-time data processing, predictive analytics, and actionable insights. Designed for energy efficiency, it is suitable for deployment in diverse environments, including urban, industrial, and rural settings. The system also offers wireless connectivity for remote monitoring and seamless integration with IoT ecosystems, providing a transformative approach to environmental monitoring and enabling informed decision-making to mitigate environmental risks.
Neural Interface for Emotional State Sharing	RAJA DEY	05/2025	KOLKATA	31-01-2025	PUBLISED	INDIA	202531004926 A	The present invention relates to a neural interface device and method for detecting, transmitting, and sharing emotional states between individuals in real time. The device comprises a wearable neural interface that includes sensors for detecting brain activity associated with various emotional states, such as happiness, sadness, stress, or calm. The detected neural signals are processed using advanced signal processing algorithms to decode the emotional state, which is then transmitted securely to a recipient’s device. The recipient’s device decodes and presents the emotional data through visual, auditory, or haptic feedback, enabling the recipient to experience the sender's emotional state directly. This invention enhances emotional communication by providing a more immediate, accurate, and immersive way of sharing feelings compared to traditional verbal or written methods. It has applications in various domains, including personal relationships, therapeutic settings, and professional environments, improving empathy, emotional understanding, and interpersonal connections
Blockchain-based Decentralized Energy Trading Platform for Peer-to-Peer Solar Energy Exchange in India	RAJA DEY	05/2025	KOLKATA	31-01-2025	PUBLISED	INDIA	202531004920 A	The present invention relates to a block chain-based decentralized energy trading platform designed to facilitate peer-to-peer (P2P) trading of solar energy between small-scale producers and local consumers. The platform leverages block chain technology to ensure secure, transparent, and immutable transactions, eliminating the need for traditional intermediaries. Energy produced by solar panels is tokenized into digital energy tokens, which represent a specified quantity of electricity, and these tokens can be traded in a decentralized marketplace. The system integrates smart contracts to automate energy trading transactions based on predefined conditions, enhancing efficiency and reducing errors. Additionally, surplus energy from producers can be fed back into the national grid, with real-time dynamic pricing optimizing compensation based on market conditions. The platform also supports the formation of energy-sharing communities, where members can collaboratively manage energy production and consumption. A carbon credit mechanism incentivizes renewable energy production, promoting environmental sustainability. The system provides an efficient, secure, and equitable solution for energy trading, contributing to a more decentralized, sustainable energy future.
Autonomous Fire Extinguisher Vehicle with Advanced Distance Measurement and Alarm System	RAJA DEY	05/2025	KOLKATA	31-01-2025	PUBLISED	INDIA	202531004434 A	The present invention relates to an autonomous fire extinguisher vehicle designed to detect and suppress fires efficiently using an automated system. The vehicle is equipped with an Arduino microcontroller, flame and smoke sensors, an ultrasonic sensor for distance measurement, and a water pump controlled by a servo motor to direct a fire-suppressing agent toward the fire source. The system autonomously navigates the vehicle to the fire, adjusts the nozzle position based on the detected distance, and dispenses the agent accordingly. Additionally, a buzzer emits an alert to notify nearby individuals of the fire emergency. The vehicle offers a rapid, automated response to fire incidents, reducing the need for human intervention and enhancing safety, particularly in environments where quick action is essential. This invention provides an effective, reliable, and scalable solution for fire detection and suppression in various applications.
Tumour detection using deep learning	RAJA DEY	03/2025	KOLKATA	17-01-2025	PUBLISED	INDIA	202531002580 A	The present invention relates to an intelligent system for automated tumour detection and classification in medical images using deep learning techniques, specifically Convolutional Neural Networks (CNNs). The system processes imaging data from various medical modalities such as MRI, CT scans, and X-rays, detecting and classifying tumours based on their size, shape, texture, and other features. In addition to tumour detection, the system integrates a facial expression recognition module to assess the mental health status of the patient by detecting signs of stress, anxiety, or depression. This dual approach provides healthcare professionals with a comprehensive understanding of both the physical and psychological aspects of the patient’s health. The system offers high diagnostic accuracy, reduces human error, enhances clinical workflow efficiency, and aids in the development of personalized treatment plans, ultimately improving patient outcomes.
Smart IoT Platform for Real-Time Monitoring and Optimization of Pain Relief in Cancer Patients	RAJA DEY	47/2024	KOLKATA	22-11-2024	PUBLISED	INDIA	202431087303 A	This invention presents an advanced IoT-based system for continuous, real-time monitoring and optimization of cancer pain management, integrating wearable devices, cloud computing, and AI-driven analytics. The system tracks key physiological and psychological metrics such as heart rate, body temperature, respiratory rate, and skin conductance, enabling personalized, anticipatory pain management. Data collected from wearable is sent to a cloud server, where machine learning algorithms analyze it to predict pain episodes, inform treatment decisions, and optimize medication dosages. Patients can actively engage with the system through a patient portal to report symptoms and receive personalized recommendations, while healthcare providers can remotely monitor patient data via a dashboard, making real-time adjustments to care plans. This continuous, data-driven approach reduces the risks of over-treatment or under-treatment, prevents pain escalation, and significantly enhances the quality of life for cancer patients by providing timely, individualized pain relief.
Title of the invention : Design and model of wireless image detection and obstacle detection Robot using Arduino UNO and ESP32 cam	RAJA DEY	47/2024	KOLKATA	22-11-2024	PUBLISED	INDIA	202431087358 A	This invention relates to an autonomous robotic system designed for wireless image detection and obstacle avoidance, using an Arduino Uno microcontroller, ESP32- CAM module, and ultrasonic sensor. The robot is capable of navigating independently, capturing real-time images, and transmitting them wirelessly to a remote device. Equipped with an ultrasonic sensor, the robot detects obstacles, allowing it to adjust its path or stop to avoid collisions. The ESP32-CAM module enables real-time monitoring by transmitting visual data to a remote system, making it suitable for applications in surveillance, security, and exploration in challenging environments. With a cost-effective design and modular architecture, this system offers an affordable solution for remote monitoring and autonomous navigation, providing reliable performance in various high-risk or inaccessible areas, such as forests, remote terrains, or hazardous zones.
AI based smart agriculture monitoring and advisory system	RAJA DEY	46/2024	KOLKATA	15-11-2024	PUBLISED	INDIA	202431086598 A	The AI-based Smart Agriculture Monitoring and Advisory System is an advanced technology designed to enhance agricultural practices by integrating Internet of Things (IoT) sensors and artificial intelligence (AI) algorithms. This system collects real-time data from a network of IoT sensors deployed across agricultural fields to monitor key agronomic parameters such as soil moisture, temperature, humidity, crop health, and pest activity. The data is transmitted to a cloud-based platform where AI algorithms analyze it to generate actionable insights and provide farmers with personalized recommendations for irrigation, pest management, disease detection, and crop growth optimization. The system includes a user-friendly interface accessible via web or mobile applications, offering real-time updates, alerts, and dynamic decision support. By leveraging data-driven insights, the system helps farmers optimize resource usage, improve crop productivity, and adopt sustainable farming practices, making it an essential tool for modern, precision agriculture.
Advanced Cybersecurity System for Real-time Threat Detection and Mitigation	RAJA DEY	40/2024	KOLKATA	04-10-2024	PUBLISED	INDIA	202431073335 A	By combining blockchain, artificial intelligence, and machine learning, this cutting-edge cybersecurity system is designed to detect and mitigate threats in real-time. It has an integrated architecture made to provide all-around defence against complex cyberattacks. Machine learning techniques underpin the system's threat detection capabilities, facilitating the quick identification of anomalies and possible threats. In addition, the threat analysis module enhances the system's comprehension and reaction to intricate attack vectors by utilizing artificial intelligence to deliver comprehensive assessments and insights into these threats. By combining blockchain, artificial intelligence, and machine learning, this cutting-edge cybersecurity system is designed to detect and mitigate threats in real-time. It has an integrated architecture made to provide all-around defence against complex cyberattacks. Machine learning techniques underpin the system's threat detection capabilities, facilitating the quick identification of anomalies and possible threats. In addition, the threat analysis module enhances the system's comprehension and reaction to intricate attack vectors by utilizing artificial intelligence to deliver comprehensive assessments and insights into these threats.
Advanced Fraud Detection System for Financial Transactions Using Machine Learning Algorithms	RAJA DEY	35/2024	KOLKATA	30-08-2024	PUBLISED	INDIA	202431063441 A	The invention relates to an advanced fraud detection system for financial transactions that leverages machine learning algorithms to enhance accuracy and adaptability. The system includes a data preprocessing module that cleanses, normalizes, and enriches transactional data with contextual information. It utilizes a feature engineering and selection module to extract and optimize relevant features from the data. The core of the system comprises an ensemble of machine learning models, including logistic regression, support vector machines (SVM), decision trees, random forests, gradient boosting machines (GBM), and deep neural networks, to detect fraudulent activities. The system features real-time monitoring and adaptive learning capabilities, continuously updating models to respond to emerging fraud patterns. An anomaly detection and alerting mechanism is also included, which flags potentially fraudulent transactions and triggers configurable alerts for further investigation. This comprehensive approach provides a robust and dynamic solution for identifying and mitigating financial fraud.

Student Activity

Student Activities : Department of CSE (AIML)

The following activities highlight the academic, technical, and professional development initiatives undertaken by the students during the last academic year.

Seminars & Awareness Campaigns

Project SHIELD: Awareness Campaign on Nationwide Digital Fraud

Students participated in a nationwide initiative by the India Today Group and the International Fact-Checking Network to combat cyber and telecommunication fraud.
Gained insights into modern scams including digital arrest fraud, OTP theft, phishing, and AI-generated voice manipulation.
Engaged in live scam demonstrations and victim case studies conducted by experts from the India Today Fact Check Bureau.
Selected "Project SHIELD Champions" among students to foster digital safety within the campus community.
Learned critical reporting mechanisms through the national cybercrime portal and helpline 1930

Cyber Attacks in Global Politics

Explored the impact of cyber warfare and state-sponsored activities on international relations.
Attended a guest lecture by Prof. Abhijit Banerjee on cyber diplomacy and international cooperation.
Student presenters analyzed high-profile global cases such as Stuxnet, the SolarWinds breach, and the Ukraine power grid attack.
Discussed the Indian cybersecurity landscape, focusing on DDoS attacks and disinformation campaigns.

Webinars

Full Stack Development (Euphoria GenX, Kolkata)

Attended by 37 students from the 3rd and 5th semesters of CSE (AIML) on September 18, 2025.
Focused on bridging the gap between the academic curriculum and modern industry requirements in web development.

Technical Session on Engineering & Management Practices (Genex Engineering)

Conducted on September 19, 2025, with participation from 61 students of the CSE (AIML) department.
Engaged with industry experts to understand professional standards in the current technological landscape.

Workshops & Hands-on Training

20-Hour Hybrid Workshop: Full Stack Development using Django & React

Participated in a comprehensive training program involving 12 hours of offline and 8 hours of online sessions in January 2026.
Received hands-on training in backend development (Django) and frontend interfaces (React) under the guidance of industry experts from Genex Engineering & Management Solutions.
Successfully developed five AI-integrated projects as part of the workshop outcome:

PicPay: Image-to-product recognition and price comparison chatbot.

MindCare with StudyBuddy: AI-driven learning and mental wellness platform.

Bengali-Doctor: A bilingual healthcare chatbot.

OPTIBUY: AI-based device recommendation system.

DSA Chatbot: An AI assistant specifically for learning Data Structures and Algorithms.

Technical Clubs & Student Initiatives

Inauguration of "CODE_RED" Coding Club

The club was formally inaugurated on February 8, 2026, by Principal Sanjay S. Pawar.
Primarily organized and managed by students of CSE (Cyber Security) to create a hub for technical learning.
Established as a platform for hosting coding competitions, hackathons, and technology-related collaborative activities for both CSE (AIML) and CSE (CS) departments.

Industry Interactions:

The Department of CSE (AIML) maintains a robust and dynamic interface with premier industrial organizations, ensuring that our academic framework remains deeply rooted in real-world application. By fostering consistent engagement with stalwarts such as the Durgapur Steel Plant (DSP), Damodar Valley Corporation (DVC), and CSIR-CMERI, the department creates a fertile ecosystem for technical evolution. These collaborations transcend traditional learning, as our students actively participate in intensive internships that provide them with a first-hand look at large-scale industrial operations and complex problem-solving.

Beyond internships, our department serves as a hub for knowledge exchange through regular interactions with seasoned industry resource persons. By collaborating on live industry projects, we integrate cutting-edge tools, sophisticated techniques, and professional methodologies directly into the students' academic journey. This proactive exposure acts as a powerful catalyst, motivating students to implement industry-standard concepts within their studies and future careers. Ultimately, this synergistic approach ensures that our graduates are not just academically proficient but are "industry-ready" professionals equipped with the resilience and technical acumen to thrive in a competitive global landscape.

Highlights

Department