About us

The Department of Artificial Intelligence & Data Science (AI & DS) is at the cutting edge of technological advancements in the fields of artificial intelligence, machine learning, and data analytics. Established in 2023, the department aims to provide students with the knowledge and skills necessary to thrive in one of the most transformative and rapidly evolving sectors of modern technology. With an intake of 60 students for the academic year 2023, the department is dedicated to producing graduates who are equipped to address complex real-world problems using AI and data science techniques.

Duration:

  • 4 years (Regular)
  • 3 years (Lateral Entry)

No. of Semesters:

  • 8 (Regular)
  • 6 (Lateral Entry)

No. of Seats:

  • Total - 60 Seats

Eligibility:

Candidates must have completed the 10+2 system of Education with a pass in Physics, Chemistry, and Mathematics in the qualifying examinations.

Scope for Higher Studies:

  • M.E. / M.Tech. / M.S. in AI, Data Science, Machine Learning, or related fields
  • MBA (with a focus on Data Analytics or AI)
  • Specialized certifications (AI, Data Science, Big Data, Cloud Computing, etc.)

The Department of AI & DS provides an interdisciplinary curriculum that integrates both theoretical foundations and hands-on experience with the latest tools and technologies in AI and Data Science. Our department is dedicated to producing forward-thinking professionals who are ready to innovate and drive the future of technology.

Why AI&DS

Artificial Intelligence (AI) and Data Science (DS) are transforming the world, making them some of the most sought-after fields in technology today. Here’s why pursuing a career in AI & DS is a great choice:

1. High Demand & Career Opportunities

AI & DS professionals are in high demand across industries like healthcare, finance, retail, and cybersecurity.

Career roles include AI Engineer, Data Scientist, Machine Learning Engineer, Business Analyst, and AI Researcher.

2. Innovation & Real-World Impact

AI is revolutionizing fields such as healthcare (disease prediction), autonomous vehicles, robotics, and finance (fraud detection).

Data Science helps in predicting market trends, analyzing big data, and improving decision-making in businesses.

3. Competitive Salaries & Growth Potential

AI & DS careers offer high salaries and rapid career growth.

Companies like Google, Amazon, Tesla, Microsoft, and IBM are investing heavily in AI-driven solutions.

4. Interdisciplinary Field

AI & DS integrate multiple disciplines, including computer science, mathematics, statistics, and domain-specific knowledge.

This allows professionals to work in various sectors such as healthcare, entertainment, sports, and manufacturing.

5. Future-Proof Career

AI and automation are shaping the future of work, and expertise in AI & DS ensures long-term career security.

The field is constantly evolving, providing continuous learning opportunities.

6. Entrepreneurship & Research Opportunities

AI & DS enable innovation in startups, tech solutions, and research advancements.

Fields like Deep Learning, Natural Language Processing (NLP), and AI Ethics offer immense research potential.

7. Contribution to Society

AI is helping solve global challenges, from climate change modeling to personalized healthcare solutions.

AI-driven applications improve education, accessibility, and security worldwide.

Vision and Mission
Vision:

To be a world-class department in Artificial Intelligence & Data Science.

To foster innovation, research, and excellence in AI and Data Science education.

To produce skilled, ethical, and forward-thinking professionals who drive technological advancements in AI and Data Science.

Mission:

To provide students with a comprehensive understanding of Artificial Intelligence, Data Science, and related technologies.

To develop expertise in machine learning, deep learning, data analytics, and AI-based solutions.

To encourage interdisciplinary learning and collaboration, ensuring graduates can apply their skills to solve complex real-world problems.

To promote cutting-edge research and development in AI and Data Science, contributing to the ongoing advancements in the field.

To uphold ethical standards and foster a responsible approach to technology, preparing students to address the societal impact of AI and data-driven innovations.

PEOs and POs
Program Educational Objectives (PEOs)

Utilize their proficiency in fundamental knowledge of basic sciences, mathematics, Artificial Intelligence, data science, and statistics to build systems that require management and analysis of large volumes of data.

Advance their technical skills to pursue pioneering research in the field of AI and Data Science and create disruptive and sustainable solutions for the welfare of ecosystems.

Think logically, pursue lifelong learning, and collaborate with an ethical attitude in a multidisciplinary team.

Design and model AI-based solutions to critical problem domains in the real world.

Exhibit innovative thoughts and creative ideas for effective contribution towards economy building.

Program Outcomes (POs):

Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to solve 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 specified needs with appropriate consideration for public health and safety, and the cultural, societal, and environmental considerations.

Conduct Investigations of Complex Problems: Use research-based knowledge and research methods, including the design of experiments, analysis and interpretation of data, and synthesis of 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 their limitations.

The Engineer and Society: Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal, and cultural issues, and the consequent responsibilities relevant to professional engineering practice.

Environment and Sustainability: Understand the impact of 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, responsibilities, and norms of 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 society at large, such as comprehending and writing effective reports and design documentation, making effective presentations, and giving and receiving clear instructions.

Project Management and Finance: Demonstrate knowledge and understanding of 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.

  • Faculty Members
  • Curriculum/Syllabus
  • Laboratory
  • E-Content Corner
  • R & D
  • MoU
  • Placements
  • Event Corner
  • Associative Activities

Faculty Members

...
Mr. V.R. Rajasekar M.E., (P.hd)

Assistant Professor/ HOD (AI&DS & IT)

...
Ms. S. Narmatha

B.E., M.E.,

ASSISTANT PROFESSOR

...
Mrs. K. Narmadha

B.E., M.E.,

ASSISTANT PROFESSOR

...
Mrs. A. Uma

B.TECH., M.E.,

ASSISTANT PROFESSOR

...
Mrs. R. Elavarasi R

B.TECH., M.E.,

ASSISTANT PROFESSOR

Laboratory

S.No Course Code Course Title Category L T P C Credits Semester
1. GE3171 Problem Solving and Python Programming Laboratory ESC 0 0 4 4 2 Semester 1
2. BS3171 Physics and Chemistry Laboratory BSC 0 0 4 4 2 Semester 1
3. GE3172 English Laboratory $ EEC 0 0 2 2 1 Semester 1
4. GE3271 Engineering Practices Laboratory ESC 0 0 4 4 2 Semester 2
5. AD3271 Data Structures Design Laboratory PCC 0 0 4 4 2 Semester 2
6. GE3272 Communication Laboratory / Foreign Language $ EEC 0 0 4 4 2 Semester 2
7. AD3381 Database Design and Management Laboratory PCC 0 0 3 3 1.5 Semester 3
8. AD3311 Artificial Intelligence Laboratory PCC 0 0 3 3 1.5 Semester 3
9. GE3361 Professional Development $ EEC 0 0 2 2 1 Semester 3
10. AD3411 Data Science and Analytics Laboratory PCC 0 0 4 4 2 Semester 4
11. AD3461 Machine Learning Laboratory PCC 0 0 4 4 2 Semester 4
12. AD3511 Deep Learning Laboratory PCC 0 0 4 4 2 Semester 5
13. AD3512 Summer Internship EEC 0 0 0 0 2 Semester 5

E-Content Corner

S.No Course Code Course Title Download Link
1. IP3151 Induction Programme Click here
2. HS3152 Professional English - I Click here
3. MA3151 Matrices and Calculus Click here
4. PH3151 Engineering Physics Click here
5. CY3151 Engineering Chemistry Click here
6. GE3151 Problem Solving and Python Programming Click here
7. GE3152 Heritage of Tamils Click here
8. GE3171 Problem Solving and Python Programming Laboratory Click here
9. BS3171 Physics and Chemistry Laboratory Click here
10. GE3172 English Laboratory Click here
11. HS3252 Professional English - II Click here
12. MA3251 Statistics and Numerical Methods Click here
13. PH3256 Physics for Information Science Click here
14. MA3354 Discrete Mathematics Click here
14. CS3351 Digital Principles and Computer Organization Click here

Research and Development

Title Authors Journal / Conference Year
FPES-IDS: Forecast-Path and Exponential Smoothing-based Intrusion Detection System to Mitigate Blackhole Attack in RPL-based 6LoWPANs VR Rajasekar, S Rajkumar IEEE Access 2025
Evaluating the impact of selective forwarding attacks on RPL-based 6LoWPAN in IoT: a comprehensive simulation study VR Rajasekar, S Rajkumar Computing 107 (3), 1-37 2025
A review of isolation attack mitigation mechanisms in RPL-Based 6LoWPAN of internet of things VR Rajasekar, S Rajkumar Computer Assisted Methods in Engineering and Science 31 (3) 2024
DSAT-IDS: Dissimilarity and Adaptive Threshold-based Intrusion Detection system to mitigate selective forwarding attack in the RPL-based 6LoWPAN VR Rajasekar, S Rajkumar Cluster Computing 27 (9), 12029-12068 2024
A Study on Internet of Things Devices Vulnerabilities using Shodan Rajasekar V R International Journal of Computing 22 (2), 149-158 2023
Hybridized Cryptographic Encryption and Decryption Using Advanced Encryption Standard and Data Encryption Standard A Kanshi, R Soundrapandiyan, VSA Sofia, VR Rajasekar Cybernetics and Information Technologies 23 (4), 63-78 2023
Cloud Hosted Ensemble Learning-Based Rental Apartment Price Prediction Model Using Stacking Technique S Rajkumar, L Ramanathan, VR Rajasekar, M Jantwal Deep Learning Research Applications for Natural Language Processing, 229-238 2023
A Study on Impact of DIS flooding Attack on RPL-based 6LowPAN Network VR Rajasekar, S Rajkumar Microprocessors and Microsystems 94, 104675 2022
Analysis of Blackhole Attack in RPL-based 6LoWPAN Network: A Case Study VR Rajasekar, S Rajkumar 2021 28th IEEE Int’l Conf. on Electronics, Circuits, and Systems 2021
An Efficient and Reliable Data Flow Protection Scheme to Improve the QoS in MPLS Network VR Rajasekar Int’l Journal of Innovation in Computational Science and Engineering 2021
Adoption of Free and Open Source Software using Alternative Educational Framework in College of Applied Sciences R Al-Hajri, G Al-Mukhaini, VR Rajasekar arXiv:1702.05713 2017
Password-based Authentication in Computer Security: Why is it still there S Mohammed, L Ramkumar, VR Rajasekar SIJ Trans. Comput. Sci. Eng. Its Appl 5, 33-36 2017
The Need for Effective Information Security Awareness Practices in Oman Higher Educational Institutions VR Rajasekar, S Khan, S Mohammed arXiv:1602.06510 2016
Usage of Cloud Computing Simulators and Future Systems for Computational Research R Lakshminarayanan, VR Rajasekar arXiv:1605.00085 2016
Information Security Awareness at Oman Educational Institutions: An Academic Perspective VR Rajasekar, R Lakshminarayanan, S Khan arXiv:1605.05580 2016
Challenges in Transforming, Engaging and Improving M-Learning in Higher Educational Institutions: Oman Perspective R Lakshminarayanan, VR Rajasekar, SK Shaik arXiv:1504.01139 2015
A Review on Opportunities and Challenges in Implementing Free and Open Source Software in CAS VR Rajasekar, Dr. Ramkumar Lakshiminarayan 3rd Int’l Conf. of the Omani Society for Educational Tech. 2015
The Need for Effective Information Security Awareness Practices in Oman Higher Educational Institutions VR Rajasekar, Mr. Shimaz Khan 1st Symposium on Communication, Info Tech, and Biotechnology 2015
Multicasting of Images Resized Using Enhanced Seam Carving Technique in Hierarchical Group Communication VR Rajasekar Int’l Conf. on Network Computing and Information Security 2012
Improved Authentication and Key Agreement Protocol Using Elliptic Curve Cryptography A Chandrasekar, VR Rajasekar, V Vasudevan Int’l Journal of Computer Science and Security 3 (4), 325-333 2009

Memorandum of Understanding (MOU)

Under Construction

Placements

Under Construction

Event Corner

S.No Date Event Topic Organizer Participants Remarks
1 14/09/2024 Celebration Engineers’ Day Dept. of IT & AI&DS All Faculty Engineers’ Day was celebrated in the department.
2 18/10/2024 Student Paper Presentation Investigating the Impact of Ping-based DoS Attack Mahendra College of Engineering, Salem 4 Female Students (AI&DS Dept), All Faculty Paper was accepted and presented at the symposium.
3 18/10/2024 Student Certification Python Essentials 1 CISCO Networking Academy Students of AI&DS Number of students who completed increased from 3 to 5; all received Badges.
4 16/12/2024 Participation in FDP Python Programming for Data Analysis C-DAC Hyderabad Mr. V.R. Rajasekar, ASP / AI&DS, Mrs. T. Nandhini, AP / CSE, Mrs. E. Ramya, AP / IT All participants received Participation Certificates.
5 20/12/2024 to 24/12/2024 Online FDP Fundamentals of Machine Learning C-DAC Hyderabad All Faculty Members Faculty attended the FDP and took the final exam.
6 07/01/2025 Workshop / Training Smart Board Usage [Internal/External] All Faculty Members Faculty attended the training/workshop on Smart Board usage.
7 04/01/2025 Online FDP Machine Learning C-DAC Hyderabad Mr. V.R. Rajasekar, ASP / AI&DS, Mrs. S. Narmatha, AP / AI&DS, Mrs. E. Ramya, AP / IT Faculty members participated in the FDP organized by C-DAC, Hyderabad.
8 08/02/2025 Outreach Program Artificial Intelligence and Internet of Things Dept. of IT & AI&DS Mr. V.R. Rajasekar, HOD / IT & AI&DS Conducted at Kandasamy Kandar Matriculation School, Velur.
9 14/02/2025 Faculty Development Program [Not Specified] [In Salem] Mrs. S. Narmatha, Mr. M. Mohankumar Two faculty members participated in an FDP held in Salem.
10 25/01/2025 Online FDP Blockchain C-DAC Hyderabad Mr. V.R. Rajasekar, Mrs. S. Narmatha, Mrs. E. Ramya Faculty members participated in the FDP organized by C-DAC, Hyderabad.
11 31/01/2025 Online FDP Fundamentals of Block Chain C-DAC Hyderabad Ms. S. Narmatha, AP / AI&DS Ms. S. Narmatha received a certificate in the online FDP and applied for a Blockchain bootcamp.
12 23/11/2024 Survey Initiation Social Media Usage and Its Impact on Mental Health Mr. V.R. Rajasekar Students, Faculty Comprehensive survey launched with a link for participation: Survey Link
13 31/08/2024 Aasaan 2024 – Teacher’s Day Celebration Poster Presentation Competition Dept. of AI&DS Ms. S. Narmadha, AP / AI&DS Ms. Narmadha participated in the Poster Presentation Competition on Teacher’s Day.
14 22/03/2025 Student Participation – Symposium Technical Competitions NPN College of Engineering and Technology, Karur Two students participated, B.M. Harisaran secured 1st place Students actively participated; Harisaran won 1st place in the competitions.
15 28/03/2025 Paper Presentation (Guest) Paper Presentations from ECE Symposium Dept. of IT & AI&DS External Student Presenters, AI&DS & IT Students Presenters from other colleges shared their papers with AI&DS and IT students.
16 27/03/2025 Refresher Program Technical and General Connections Quiz Faculty & HoD IT and AI&DS Students Refresher session included engaging quiz activities for student enrichment.
17 01/04/2025 Class Committee Meeting Academic Review and Feedback HoD (AI&DS) Mr. V.R. Rajasekar, Mr. M. Mohankumar, 2nd Year AI&DS Class Reps Meeting conducted to discuss academic progress and address student concerns.
18 03/04/2025 to 05/04/2025 Industrial Visit Educational Trip to Mysore Dept. of IT & AI&DS Students of AI&DS Industrial visit organized for exposure and learning beyond classroom.
19 29/03/2025 Outreach Activity Distribution of Admission Brochures – PGP-CET 2025 Dept. of IT & AI&DS 20 Students from AI&DS Students deputed to various schools for brochure distribution.
20 28/02/2025 MoU Signing and Assessment SkillActz Student Proficiency Assessment SkillActz, PGPCET Mr. V.R. Rajasekar, Mrs. Bhuvaneshwari Assessment link from SkillActz was sent to collect student details.