IEEE International Conference on Communication, Computing and Signal Processing IICCCS(2024)

Artificial Intelligence and Machine Learning

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About the Department

The Department of Artificial Intelligence and Machine Learning (AI & ML) in the Computer Science and Engineering offers a B.Tech. program in Computer Science and Engineering (Artificial Intelligence and Machine Learning). It was started initially with 30 intake from this session upgraded into 60 intake.This program aims to provide students with a solid foundation in the principles and techniques of AI and ML, as well as hands-on experience in applying these technologies to real-world problems.Throughout the program, students will learn about the various subfields of AI and ML, including computer vision, natural language processing, robotics, deep learning, and others. They will study algorithms and techniques for machine learning and gain practical experience through laboratory work and projects.

The program is designed to be interdisciplinary and expertise from a variety of fields, including computer science, mathematics, and statistics. Students will have the opportunity to participate in research projects, both within the department and with other departments and institutions.Graduates of the B.Tech. program in Computer Science and Engineering (Artificial Intelligence and Machine Learning) will have a deep understanding of the principles and practices of AI and ML, and will be prepared to work in a variety of industries and roles, including data analysis, software development, and research. They will be well-equipped to tackle challenging problems and contribute to the advancement of AI and ML.

team
Department of Artificial Intelligence and Machine Learning

Dr.Abhishek Bandyopadhyay

Head of the Department and Associate Professor
  • PhD (IIEST), M.Tech (C.U)

In lieu with, Government of India stake, to transform the country's fastest growing economy under Al revolution, Asansol Engineering College, West Bengal has launched four years undergraduate program in Artificial Intelligence Machine Learning (Al & ML) since academic year 2021-22. The objective of this course is to ensure the challenging students graduating from this program secure job and, in this way, budding AIML technocrats shall be able to deploy Al in resolving primary societal needs at large through intelligent and secure systems, enabling data ecosystems and data analytics. AI & ML course will nurture and transform students into a highly skilled professional. According to a World Economic Forum's report, Al-enabled automation will generate 133 million new jobs globally by 2022.An AI & ML professional having experience of around five years is paid INR 40-50 LPA+. By 2025, more or less 80% enterprises will shift to operate using AI & MI. in the domain of analytics and infrastructure. This AI & ML course helps students to learn MATLAB, Python, R, ML, Deep Learning, NLP, Machine Learning, Data Science, and Cloud Computing and so on. Students will get hands-on exposure to industry-level assignments and projects with this top-notch AI & ML course. With this course, the aspiring engineers will be at the forefront of innovation and become the thought leaders and game changers the world needs. This course is affiliated by MAKAUT and approved by AICTE.

Vision

To become one of the most recognized in the field of Artificial Intelligence and Machine Learning by bestowing and laying out quality education and technical help to the aspiring students.

Mission

  • DM1:To educate and incorporate the current needs and standards of the society within the learners with the help of state-of-the art technologies.
  • DM2:To develop ethical and moral values within the students and inculcate team spirit and leadership qualities.
  • DM 3:To provide an environment which will hence encourage research opportunities and study regarding different aspects of technology.
  • DM4:To apply the grasped knowledge in different fields as a form of data models and create a new path of innovation.

Programme Outcomes (PO)

  • Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  • Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
  • Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
  • Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
  • Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
  • The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
  • Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
  • Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  • Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • Communication: Communicate effectively on complex engineering activities with the engineering community and with 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.
  • Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
  • Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Program Specific Outcomes (PSO)

  • PSO1:  Create solutions based on business process management analysis, design, and development to create high-quality goods that meet market and societal demands.
  • PSO2:  Create novel concepts and solutions for current issues in the fields of mobile applications and software engineering by incorporating cutting-edge tools and technology

Program Educational Objectives (PEO)

  • PEO1:By using the solid knowledge you've gained in basic engineering to create new procedures and put answers to industrial challenges into practice, you can contribute to the industry as an engineer.
  • PEO2:Create a company or sector as an entrepreneur with professionalism, leadership ability, teamwork, and moral principles to satisfy society requirements.
  • PEO3:By pursuing higher education and research, as well as developing sustainable goods and solutions to meet demand, we can build a brighter future.

Publications of the Department of AIML in last 3 years (July 2021-June 2023)

Papers in International Journals ( July 2018- June 2023)
Name of FacultyMember Title Author List Details Date of Publication SCI /SCIE>
(Impact Factor) / Scopus (Citescore)
Dr. Abhishek Bandyopadhyay An offline schemefor reducing cost ofprotection in all-optical WDM meshnetworks with fastrecovery. V.Dey, A.Bandyopadhyay, U.Bhattacharya
and M.Chatterjee 		In International Journal of Parallel, Emergentand Distributed Systems, Taylor andFrancis, U.K.,Vol.34,No.5,2019,
pages 572-593.		 February2019 ScopusCitescore:2.2
Dr. Abhishek Bandyopadhyay Semisupervised SVM learning technique for landcover mapping using spectral information S. Das, U. K. Kamila, D. Chakraborty, International Journal of Advances in Electronics and Computer Science
vol. 9, no. 11, pp..31-35 		2023 Impact Factor:2.68
Papers in International Conference Proceedings (July 2018- June 2023)
Name of Faculty Member Title AuthorList Details Date ofPublication
Dr. AbhishekBandyopadhyay Detection of Cancer from Microarray GeneExpression Data Using Feature Selection and Support VectorMachines Sneha Mukherkee, D. Chakraborty International Conference on Communication, Computing, and Nano-Microwave Techlology (CCNMT-2022) 2022
Dr. A Bandyopadhyay "Tumor Prediction Using Microarray Gene Expression Profiles Through SVM and CBFS," A. Bandyopadhyay, Dr. D Chakraborty 2ndInternational Conference on Data Science and Artificial Intelligence (ICDSAI-2023) 2023
Dr. A Bandyopadhyay Harnessing Hybrid Machine Learning Algorithms for Identification of Oncogenes from Microarray Gene Profiles A. Bandyopadhyay, A. Banerjee, Dr. D Chakraborty International Conference on Computing, Communication & Intelligent Systems (ICCCIS-2023)(communicated) 2023
Book Chapters (July 2018- June 2023)
Name of FacultyMember Title Author List Details Date of Publication
      International Conference on Communication, Computing, and Nano-Microwave Techlology (CCNMT-2022)
ISBN: 978-93-5593-089-7 		 
       
Dr. Abhishek Bandyopadhyay Detection of Cancer from Microarray GeneExpression Data Using Feature Selection and Support Vector Machines Sneha Mukherkee, D. Chakraborty 2022

Achievements

Student Papers(Conference):

  • Apurba Khan, “Diving into the Abyss: Unleashing Deep Learning's Potential in Marine Ecology”in national conference on Contemporary issues and challenges in management in digital era (NCCICMDE 2023), 21-22 June, 2023.

Student Projects:

  • DocHub.ai(Application based on AI for Student Workspace)
  • Zubaan (Hardware model based on AI for Event Management and Announcement)
  • DevSoc(Student Platform for Transformative Education  and Innovation)
  • Mann-o-Scope(AI based system to detect mental health)
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Intra College Business Idea Competition 1st Position DEVSOC

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Teachers Day Celebration

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Innovative Hardware Model-Winning Best Innovative Idea

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Innovation achievements

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Science club Idea_hunt

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