Dr. BC Roy Engineering College, Durgapur

COMPUTER SCIENCE AND ENGINEERING (ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING)

Year of establishment: 2022
B.Tech. in Computer Science and Engineering (AIML) (4 years) Year of commencement: 2022
Current Intake: 30

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

LABORATORIES

Artificial Intelligence Lab
Machine Learning Lab
Soft Computing Lab
Programming Language and Data Structure Lab
Networking Lab
Computer Architecture Lab

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

PROGRAM EDUCATIONAL OBJECTIVES

After few years of graduations, the graduates of B.Tech, AIML will

PEO1: Be in regular employment in core IT industries or AIML industries or will pursue higher studies or establish start-up companies.

PEO2: Continue demonstrating life-long learning ability by accilimating to emerging technologies and accepting challenges to serve the nation by solving short-term or long term societal problems as an individual or as a part of a team.

PEO3: Demonstrate effective communication skills and exhibit leadership skills for achieving professional advancement without violating any professional code of conduct.

PROGRAM SPECIFIC OUTCOMES

On successful completion of the program, the graduates of B.Tech, aiml will be able to:

PSO1: Demonstrate fundamental knowledge and skills related to Artificial Intelligence and Machine Learning and relate the, to real world problems.

PSO2: Apply fundamental statistical/mathematical methodologies and fundamental computational algorithms to understand and design most elementary real-world problems.

PSO3: Implement fundamental AI and ML algorithms by using Python/R for solving most elementary real-world model problems.

PSO4: Elaborate fundamental applications of different AI techniques in Computer Vision, Natural Language Processing, Speech Recognition and so on.

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

GOUR SUNDAR MITRA THAKUR	HOD
ARNAB BANERJEE	Assistant Professor
SUSANTA KARMAKAR	Assistant Professor

Achievements

Laboratories

Embedded AI Research Laboratory

Area of Research

Artificial Intelligence in manifold applications
Embedded AI and IoT

Faculty Activity

Publications

Journal

Name	Year	Cite as MLA/APA/Vancouver/IEEE Format
GOUR SUNDAR MITRA THAKUR	2018	Thakur, G. S. M., Bhattacharyya, R., & Sarkar, S. (2018). Stock portfolio selection using Dempster–Shafer evidence theory. Journal of King Saud University-Computer and Information Sciences, 30(2), 223-235.
GOUR SUNDAR MITRA THAKUR	2016	Thakur, G. S. M., Bhattacharyya, R., & Mondal, S. S. (2016). Artificial Neural Network Based Model for Forecasting of Inflation in India. Fuzzy Information and Engineering, 8(1), 87-100.
GOUR SUNDAR MITRA THAKUR	2014	Aggarwal, A., & Thakur, G. S. M. (2014). Design and Implementation of Fuzzy Rule Based Expert System for Employees Performance Appraisal in IT Organizations. International Journal of Intelligent Systems and Applications, 6(8), 77.
GOUR SUNDAR MITRA THAKUR	2013	Aggarwal, A., & Thakur, G. S. M. (2013). Techniques of performance appraisal-a review. International Journal of Engineering and Advanced Technology (IJEAT), 2(3), 617-621.
GOUR SUNDAR MITRA THAKUR	2012	Kumar, K., & Thakur, G. S. M. (2012). Advanced applications of neural networks and artificial intelligence: A review. International journal of information technology and computer science, 4(6), 57.
GOUR SUNDAR MITRA THAKUR	2012	Singh, P. I., & Thakur, G. S. M. (2012). Enhanced password based security system based on user behavior using neural networks. International Journal of Information Engineering and Electronic Business, 4(2), 29.
GOUR SUNDAR MITRA THAKUR	2012	Kumar, K., & Thakur, G. S. M. (2012). Extracting explanation from artificial neural networks. International Journal of Computer Science and Information Technologies, 3(2), 3812-3815.
GOUR SUNDAR MITRA THAKUR	2012	Abhishek, G. S. M. T., & Gupta, D. (2012). Proposing efficient neural network training model for kidney stone diagnosis. International Journal of Computer Science and Information Technologies, 3(3), 3900-3904.
ARNAB BANERJEE	2020	Banerjee, A., Das, N. & Santosh, K.C. Weber local descriptor for image analysis and recognition: a survey. Vis Comput 38, 321–343 (2022). https://doi.org/10.1007/s00371-020-02017-x
ARNAB BANERJEE	2022	Arnab Banerjee, Arijit Das, Samarendra Behra, Debotosh Bhattacharjee, Nagesh Talagunda Srinivasan, Mita Nasipuri, Nibaran Das,. Carp-DCAE: Deep convolutional autoencoder for carp fish classification, Computers and Electronics in Agriculture, Volume 196,2022,106810,ISSN 0168-1699, https://doi.org/10.1016/j.compag.2022.106810.

Conference

Name	Year	Cite as MLA/APA/Vancouver/IEEE Format	National/International
GOUR SUNDAR MITRA THAKUR	2022	Chatterjee, S., & Thakur, G. S. M. (2022). Identification of the Diseased Portions of an Infected Aloe Vera Leaf by Using Image Processing and k-Means Clustering. In Proceedings of International Conference on Computational Intelligence: ICCI 2020 (pp. 195-205). Springer Singapore.	International
GOUR SUNDAR MITRA THAKUR	2016	Mitra Thakur, G. S., Bhattacharyya, R., Sarkar, S., & Kar, P. (2016). Ranking of stocks using a hybrid DS-fuzzy system: an application to Bombay stock exchange. In Advanced Computing and Communication Technologies: Proceedings of the 9th ICACCT, 2015 (pp. 109-116). Springer Singapore.	International
GOUR SUNDAR MITRA THAKUR	2017	Prakash, C., Thakur, G. S. M., Vashisht, N., & Kumar, R. (2017). UMEED-a fuzzy rule-based legal expert system to address domestic violence against women. In Advances in Computer and Computational Sciences: Proceedings of ICCCCS 2016, Volume 1 (pp. 631-638). Springer Singapore.	International
GOUR SUNDAR MITRA THAKUR	2022	Kesh, S., & Thakur, G. S. M. (2022, November). Risk and Weightage Based Route Prediction System Using Machine Learning: A Review. In 2022 International Interdisciplinary Conference on Mathematics, Engineering and Science (MESIICON) (pp. 1-6). IEEE.	International
GOUR SUNDAR MITRA THAKUR	2010	Thakur, G. S. M., Bhattacharyya, R., & Mitra, S. K. (2010, October). Fuzzy Random λ‐Mean SAD Portfolio Selection Problem: An Ant Colony Optimization Approach. In AIP Conference Proceedings (Vol. 1298, No. 1, pp. 553-558). American Institute of Physics.	International
GOUR SUNDAR MITRA THAKUR	2013	Patra, S., & Thakur, G. (2013, March). A proposed neuro-fuzzy model for adult asthma disease diagnosis. In ACER conference computer science and information technology (pp. 191-205).	National
GOUR SUNDAR MITRA THAKUR	2023	Tiwari, A., Gupta, S., & Thakur, G. S. M. (2023, July). Review on Air Pollution Monitoring using AI. In 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1-5). IEEE.	International
GOUR SUNDAR MITRA THAKUR	2022	Chatterjee, S., & Thakur, G. S. M. (2022). Identification of the Diseased Portions of an Infected Aloe Vera Leaf by Using Image Processing and k-Means Clustering. In Proceedings of International Conference on Computational Intelligence: ICCI 2020 (pp. 195-205). Springer Singapore.	International
ARNAB BANERJEE	2023	A. Banerjee, D. Bhattacharjee, N. Das, S. Behra and N. T. Srinivasan, "CARP-YOLO: A Detection Framework for Recognising and Counting Fish Species in a Cluttered Environment," 2023 4th International Conference for Emerging Technology (INCET), Belgaum, India, 2023, pp. 1-7, doi: 10.1109/INCET57972.2023.10170475.	International
ARNAB BANERJEE	2023	Sinha, S. et al. (2023). Deep Learning-Based Identification of Vegetable Species: System for Specially Abled Persons. In: Bhateja, V., Yang, XS., Lin, J.CW., Das, R. (eds) Evolution in Computational Intelligence. FICTA 2022. Smart Innovation, Systems and Technologies, vol 326. Springer, Singapore. https://doi.org/10.1007/978-981-19-7513-4_36	International
ARNAB BANERJEE	2022	Banerjee, A., Chakraborty, R., Behra, S., Srinivasan, N.T., Bhattacharjee, D., Das, N. (2022). Deep Learning Based Identification of Three Exotic Carps. In: Das, A.K., Nayak, J., Naik, B., Vimal, S., Pelusi, D. (eds) Computational Intelligence in Pattern Recognition. CIPR 2022. Lecture Notes in Networks and Systems, vol 480. Springer, Singapore. https://doi.org/10.1007/978-981-19-3089-8_40	International
ARNAB BANERJEE	2022	Banerjee, A., Paul, S., Priya, T., Rohit, A., Das, N. (2023). A Deep Learning-Powered Voice-Enabled Math Tutor for Kids. In: Santosh, K., Goyal, A., Aouada, D., Makkar, A., Chiang, YY., Singh, S.K. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2022. Communications in Computer and Information Science, vol 1704. Springer, Cham. https://doi.org/10.1007/978-3-031-23599-3_31	International
ARNAB BANERJEE	2017	Banerjee, A., Das, N., Nasipuri, M. (2017). Texture Classification Using Deep Neural Network Based on Rotation Invariant Weber Local Descriptor. In: Santosh, K., Hangarge, M., Bevilacqua, V., Negi, A. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2016. Communications in Computer and Information Science, vol 709. Springer, Singapore. https://doi.org/10.1007/978-981-10-4859-3_26	International

Book/Book Chaoter/Monogram/Edited Volume

Name	Year	Cite as MLA/APA/Vancouver/IEEE Format
GOUR SUNDAR MITRA THAKUR	2021	Chatterjee, S., Thakur, G. S. M., & Chowdhury, S. (2021). Diagnosis and Treatment of Cardiac Patients During the Pandemic Situation Due to COVID-19: Exploring Possible Application of MIoT. Medical Internet of Things: Techniques, Practices and Applications, 147-159.

Thesis Supervised

Post Graduate

Name	Year	Topic
GOUR SUNDAR MITRA THAKUR	2017	Fuzzy Rule based Intelligent System for User Authentication based on User Behavior.
GOUR SUNDAR MITRA THAKUR	2015	Fuzzy Expert System on Medical Diagnosis
GOUR SUNDAR MITRA THAKUR	2015	Identification of Fruits in a Tree Using Image processing and Artificial Neural Network

Under Graduate

Name	Year	Topic
GOUR SUNDAR MITRA THAKUR	2022	Crop Price Prediction System Using Artificial Intelligence
GOUR SUNDAR MITRA THAKUR	2022	Motion Detection Using Opencv
GOUR SUNDAR MITRA THAKUR	2021	Resume Ranking Web Application
GOUR SUNDAR MITRA THAKUR	2021	Traffic Sign Recognition and Classification using Artificial Neural Network
GOUR SUNDAR MITRA THAKUR	2020	Better Reading Levels through Machine Learning
GOUR SUNDAR MITRA THAKUR	2020	Credit Card Spend Prediction and Proactive Attrition
GOUR SUNDAR MITRA THAKUR	2019	Bug tracking system using JAVA

Patent

Name	Year	Description
SUSANTA KARMAKAR	2023	UK Design Patent: Indication of Product - Sensor Based Breath Analyser Design number: 6322511, Grant date: 7th November 2023, Registration date: 28th October 2023

Highlights

Department