Department of Artificial Intelligence and Data Science

About the Department

The Department of Artificial Intelligence and Data Science was established in the year 2022. The goal of the department is to ensure the academic excellence in students with wide exposure of research and career opportunities. The unique undergraduate program, B.Tech. Artificial Intelligence and Data Science (AI & DS), aims the students to acquire technical skills to develop the GenAI systems using LLM,RAG, data analytics, exploratory data analytics, computer Vision, autonomous vehicles, robots and data visualization in emerging real-time applications. Program envisions to equip students with the ability to identify and assess societal, health, safety and cultural issues with an emphasize on identifying their consequent responsibilities as engineers of offering optimal and effective solutions. The department is well equipped with high end GPU processors to empower the students with the state of art technologies.

Vision

  • To Produce globally competent, innovative, Computing professionals to meet current challenges in the field of Artificial intelligence and Data Science with social responsibilities.

Mission

  • Offering well-balanced curriculum with state of the art technologies to impart professional competencies and transferable skills.

  • Bringing innovations in Teaching-Learning process through experienced learning and project/product based learning.

  • Collaborating National and International Industries and Academia to develop foresight technologies in Artificial intelligence and Data Science.

Programme Educational Objectives (PEOs)

Within few years(3 to 5 years) of graduation, our graduates are expected to

  • Be successful in their professional career as data scientist, data modeler, data architect, Infrastructure engineer, business intelligence developer, enterprise architect and software developer with technical and managerial skills in the field of artificial intelligence and data science

  • Pursue higher studies at the institute of repute in India and abroad and work in educational institutions, research organizations and reputed software industries and be successful entrepreneurs.

  • Collaborate in multidisciplinary teams and be the leaders in their organisations, their professional and in society.

Salient Features

  • Experienced Faculty members in the field of data analytics and AI and published their research works in more than 40 Science Citation Index international journals and 50 Scopus journals.

  • Well-equipped laboratories with high end GPU processors to develop innovative projects and research works.

  • Quality Academic Research and Publications in reputed Journals.

  • Students are connected with industries through internships and students are developing the industry projects with the guidance of faculty mentors.

  • Reviewers in various reputed International Journals and Books.

  • Qualified Faculty members with Good Retention.

  • Adjunct faculty(Professor of Practice) members are providing industrial knowledge to students for developing products.

Academic programmes

UG

Establishment Year: 2022

Students Intake : 60

II Year: 60

III Year: 66

IV Year: 67

Research Scholars

Ph.D – Pursuing: 9

Ph.D – Awarded: 5

Faculty (List with Vidwan link)

Contact Us

Dr.V.Kalaivani, M.E.,Ph.D.,
Professor and HOD
Department of Artificial Intelligence and Data Science,
National Engineering College, Kovilpatti – 628503,
Contact No : 04632 222502
Mail id : hodai@nec.edu.in

Dr.V.Kalaivani

Professor & Head

Dr.B.Paramasivan

Professor

Dr.J.Naskath

Associate Professor

Mr.A.Shenbagharaman

Assistant Professor (Sr.Grade)

Ms.V.Veera Anusuya

Assistant Professor (Sr.Grade)

Ms.K.Poorani

Assistant Professor

Ms.P.Rampriya

Assistant Professor

Ms.G.Dhivya

Assistant Professor

Ms.P.Swarna Gowsalya

Assistant Professor

Ms.M.Saranya

Assistant Professor

Ms.K.R.Indra

Assistant Professor

Professor of Practice​

Mr.Ravirathinam Duraikannu

Professor of Practice

The department has following well-equipped laboratories with latest configurations of computer systems.

Data Analytics Laboratory

Data Analytics lab is well-equipped with the following

High end systems with GPU processors with the configuration of High end Core-i7 systems and Graphics cards for conducting data analytics Lab and Artificial Intelligence Lab with large data set.

This lab is equipped with High end Core-i7 systems with high capacity Graphics cards. This lab is used to study, process and analyse the data using Python, Numpy, Scipy, Matplotlib, Pandas, statsmodels, seaborn, plotly, bokeh. The students perform various experiments in mathematical functions, random number generators, linear algebra routines, Fourier transforms operations, optimization, integration, interpolation, eigenvalue problems, algebraic equations, differential equations, statistics, data processing, data prediction, decision making, animated and interactive visualizations. Students can work with large data sets and visualize interactive statistical models and random distributions.

Artificial Intelligence Laboratory

This lab has developed with the aim of learning about the latest technologies of the field like Deep Learning, Machine Learning, and Robotics, it has latest software tools and platformsto our students not only learn but also to work with them to build automation systems.

Deep Learning Laboratory

Deep Learning Laboratory is established in our AI&DS Department with the purpose to provide a specialized environment for practical learning, research, and innovation in artificial intelligence, particularly in the field of deep learning. It enables students, researchers, and professionals to gain hands-on experience by developing and training complex neural network models using advanced computing resources and industry-standard tools. The lab serves as a hub for skill development, project execution, and experimentation in areas such as computer vision, natural language processing, and robotics. It also supports academic and real-world problem-solving through collaborative research and facilitates knowledge sharing among peers and experts, thereby fostering a deeper understanding of AI technologies and their applications.  High end systems with GPU processors with the configuration of High end Core-i7 systems and Graphics cards for conducting deep learning  Lab with large data set.
 

Thrust areas of Research

  • Data Science
  • Medical Image analysis
  • Data Security
  • Artificial Intelligence
  • Machine Vision
  • Agricultural automation systems

Salient Features

  • Experienced Faculty members in the field of data analytics and AI and published their research works in more than 20 SCI and Scopus journals.
  • Well-equipped laboratories to develop innovative projects and research works.
  • Quality Academic Research and Publications in reputed Journals.
  • Reviewers in various reputed International Journals and Books.
  • Qualified Faculty members with Good Retention.
  • Students are encouraged to design smart machines or to develop software applications that can self-learn and imitate the traits of the human mind with the help of reasoning, sensory applications, planning, optimal decision making and problem-solving techniques.

2024 - 2025

2023 - 2024

1. Research funded projects/seminars

  1. Dr.V.Kalaivani, Principal Investigator, Ms.P.Rampriya, Co-Investigator, for the Research Project funded by Institution of Engineers(India), Kolkatta titled “Automated weed eradication system using embedded techniques” and the sanctioned amount is Rs.60,000/- during 2017-18.

2. Funded Seminars

  1. Dr.V.Kalaivani, as Convener, Fund Rs.2,05,000 is received from IEEE,TCS, BRNS, ISRO for organizing IEEE International Conference on Computing Technologies and Intelligent Data Engineering (ICCTIDE’16) during 7-9, January 2016.

  2. Dr.V.Kalaivani, as Coordinator, organised AICTE sponsored National level online Conference on “Data Science and Intelligent and Information Technology” during 14.05.2021 & 15.05.2021.

  3. Dr.V.Kalaivani, as Coordinator, received Grant from CSIR, New Delhi for organizing “Two days 9th National Conference on Image Processing and Networking “NACIPAN’13” 01.03.2013 & 02.03.2013.

  4. Dr.V.Kalaivani, as Coordinator, received grant from Department of Science and Technology for conducting “Two days National seminar on Research Issues and Challenges in Cognitive Science” from 01.02.1013 and 02.02.2013.

  5. Dr.V.Kalaivani, as Coordinator, receivedFDP grant from Anna University, Chennai for conducting “Two weeks Faculty Development Training Programme” on “Web Technology” from 07-11-2005 to 19-11-2005

2. Consultancy

Consultancy work is carried out by Dr.V.Kalaivani from M/s Embris Global Solutions, Chennai for “Automation of robot systems” during April 2021 – Feb, 2022.

3. Research supervisor

Dr.V.Kalaivani

  • Anna University, Chennai Research Supervisor
  • Area of Research – Medical data analytics, Data Science, Data Mining, Web mining
  • Research Scholars

Ph.D – Awarded – 4
Ph.D – Pursuing – 2

4. International Journal Publications

5. International/National Conferences

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