Overview
The Department of Artificial Intelligence and Data Science is a cutting-edge academic and research unit of RVSCET dedicated to exploring the vast potentials of AI and data analytics. The department delves into AI methodologies such as machine learning, deep learning, natural language processing, and robotics. Students and researchers work on developing intelligent systems that can mimic human cognition, learn from data, and make decisions. Data science involves extracting meaningful insights from vast amounts of data. The department covers statistical analysis, data mining, data visualization, and big data technologies. It aims to equip students with the skills to analyze complex datasets and derive actionable insights.AI and data science are applied across various fields including healthcare, finance, marketing, and engineering. The department often collaborates with other disciplines to address real-world problems through innovative solutions. Faculty and students engage in cutting-edge research, contributing to advancements in AI technologies and methodologies. Research projects might involve developing new algorithms, improving data processing techniques, or exploring novel applications. The department often partners with industry leaders to ensure that the curriculum remains relevant and that students gain practical experience. These collaborations can lead to internships, joint research projects, and job placement opportunities. Overall, the Department of Artificial Intelligence and Data Science serves as a hub for innovation, learning, and research in these rapidly evolving fields. Its goal is to advance technology while addressing the ethical and practical challenges that come with it.
Programs Offered
No Doctorate courses available.
Vision
To be a center of excellence in AI & Data Science through innovation and research.
Mission
Empower students to become global leaders in AI through a blend of academic rigor, practical training, and ethical values.
Head of the Department
Dr. A. Kumar
Professor & Head of the Department
Dr.A.Kumar is a renowned academician with more than 37 years of Teaching and Administrative experience in the field of Computer Science and Engineering. He served in various capacities from HOD to Principal. He was retired in April 2024 from a Government engineering college as Principal. He has joined in RVS College of Engineering College and Technology in August 2024. Presently he is the Dean(Projects and Student Affairs) and also Heading the Department of Artificial Intelligence and Data Science.
He has published more than 15 Papers in referred Journals. And he was a recognized research supervisor in Pondicherry University. He has authored a book. He was the External examiner in various universities for the Ph.D. Students. He has guided more than 500 PG and 1000 UG projects.
He has involved in ISO, NAAC, Autonomous, NBA process in the served colleges. He was the Board of Studies Chairman of Bharathiar University, Coimbatore. He was the coordinator of the Distance Education programme of Bharathidasan and Manonmaniam Sudaranar Universities. He has organized many FDP, Seminars and workshops. He has successfully conducted many inter collegiate symposiums. He has also attended Various workshops and Seminars organized by AICTE, Anna University and Leading corporate like TCS.
He has proved his excellence in Academics, leadership, research and curriculum development. His area of expertise is in Database systems and Information Security.
He is the Life member of Computer Society of India and served as office bearer.
Department Advisory Committee (DAC)
The Departmental Advisory Board is composed of members from eminent institutions as well as members from industry, Alumni and members of faculty of the department
| S.No | Members | Position of Members |
|---|---|---|
| 1 | Dr. N.K. Karthikeyan | University Nominee |
Professor, Department of Information Technology, |
||
Coimbatore Institute of Technology, Coimbatore |
||
| 2 | Dr. N. Suresh Kumar | Subject Expert |
Professor and Head, Department of CSE, |
||
School of Computing, |
||
Kalasalingam Academy of Research and Education, |
||
Krishnan Kovil. |
||
| 3 | Dr. R. Mohanasundaram | Subject Expert |
Professor Grade 1, Department of Software Systems, |
||
School of Computer Science and Engineering, |
||
VIT University, Vellore. |
||
| 4 | Dr. P. Nagaraj | Subject Expert |
Board Of Studies (BOS)
| S.No | Members | Position of Members |
|---|---|---|
| 1 | Dr. N.K. Karthikeyan | University Nominee |
| Professor, Department of Information Technology, | ||
| Coimbatore Institute of Technology, Coimbatore | ||
| 2 | Dr. N. Suresh Kumar | Subject Expert |
| Professor and Head, Department of CSE, | ||
| School of Computing, | ||
| Kalasalingam Academy of Research and Education, | ||
| Krishnan Kovil. | ||
| 3 | Dr. R. Mohanasundaram | Subject Expert |
| Professor Grade 1, Department of Software Systems, | ||
| School of Computer Science and Engineering, | ||
| VIT University, Vellore. | ||
| 4 | Dr. P. Nagaraj | Subject Expert |
PEOs, POs, PSOs
Graduates will excel in professional careers and higher education through strong technical and communication skills.
- Ph.D., Information and Communication Engineering – 2024, Anna University
- M.E., Computer Science and Engineering – 2012, Anna University
- MBA, Distance Education – 2012, Periyar University
- B.E., Computer Science and Engineering – 2009, Anna University
Engineering knowledge, problem analysis, design/development of solutions, etc.
Apply AI and DS tools to real-world problems in diverse domains
Laboratory
MOU Signed
Our department has signed Memorandums of Understanding (MOUs) with the following organizations to enhance learning through internships, projects, and knowledge exchange programs:
- Infosys – Industry collaboration for AI & Data Science projects
- TCS iON – Student internships & skill development programs
- Microsoft Learn Student Ambassador Program – Cloud computing training & certification
- Amazon AWS Academy – Cloud computing training & certification
- IBM SkillsBuild – AI, Machine Learning, and Data Analytics courses
Achievements
National hackathon winners.
Research papers published in reputed journals.
Students placed in top tech companies.
Gallery
Explore moments from department activities, workshops, seminars, and hackathons.
No gallery images added.