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: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: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&DSArtificial 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 OpportunitiesAI & 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 ImpactAI 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 PotentialAI & 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 FieldAI & 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 CareerAI 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 OpportunitiesAI & 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 SocietyAI is helping solve global challenges, from climate change modeling to personalized healthcare solutions.
AI-driven applications improve education, accessibility, and security worldwide.
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.
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.
Assistant Professor/ HOD (AI&DS & IT)
B.E., M.E.,
ASSISTANT PROFESSOR
B.E., M.E.,
ASSISTANT PROFESSOR
B.TECH., M.E.,
ASSISTANT PROFESSOR
B.TECH., M.E.,
ASSISTANT PROFESSOR
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 |
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 |
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 |
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. |