Prof. P. Manjubala
HoD (AI & DS)
The Department of Artificial Intelligence and Data Science, established in 2021, aims to foster knowledge sharing through domain experts, value-added courses, and collaborative learning. With world-class infrastructure, a futuristic curriculum, hands-on experience, and industry-connect programs, the department prepares students to excel in data science. The UG program is designed to provide a strong theoretical foundation, enabling students to develop customized algorithms for deriving insights from large data sets, addressing the growing demand for data-driven decision-making in businesses. The program curriculum equips students with essential data-related skills such as Python programming, statistical analysis, predictive analytics, and data visualization. With a focus on design-oriented teaching, the department ensures students are prepared for diverse career opportunities as Data Scientists, Data Engineers, Data Analysts, Machine Learning Engineers, and Data Architects. Additionally, it nurtures an entrepreneurial spirit, offering students the tools to succeed in high-demand roles with lucrative salary packages in the future.
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Department Vision
To become a world leader in AI and Data Science education and research, developing creative thinkers and ethical professionals who advance technology and benefit society.
Department Mission
Offering practical education in AI and Data Science, focusing on real-world results, and making a positive impact on society.
Providing the latest tools and resources to keep up with the changing needs of AI and Data Science.
Helping students succeed in their careers and achieve their goals through expertise in AI and Data Science.
Supporting teachers in their ongoing learning, research, and industry partnerships to improve student education.
Encouraging overall growth, leadership, and ethics in AI and Data Science to develop innovative and entrepreneurial graduates.
Department Activities
Quiz on War Heroes
Javeen M, I Year AI&DS, participated in the “Quiz on War Heroes of India,” conducted by the Ministry of Defence and MyGov on 26th November 2024, showcasing knowledge of India’s military history and the bravery of its war heroes.
13 Dec, 2024
FDP on AI & IoT
Mrs. P. Manju Bala, ASP/AI&DS/HOD, actively participated in and completed the one-week National Level Faculty Development Program on “Recent Advancements in AI & IoT – Industry Perspective,” organized at Periyar Maniammai Institute (PMIST)
13 Dec, 2024
Quiz on Birsa Munda
aveen Kumar M, I Year AI&DS, participated in the “Quiz on Dharti AaBa Bhagwan Birsa Munda-Janjatiya,” conducted by Nayak Ji MyGov on 26th November 2024, contributing to the celebration of Birsa Munda’s contributions to tribal welfare.
13 Dec, 2024
Quiz on Swachh Bharat
Javeen Kumar.M, I Year AI&DS, actively participated in the National Quiz on “Swachh Bharat Mission Grameen Phase-II,” conducted by the Ministry of Defence and MyGov on 26th November 2024.
13 Dec, 2024
Srinivasa Ramanujan Level 3
Praveen.R, III Year, Nithya.R, Vinothini.S, II Year AI&DS, participated in the National Level Srinivasa Ramanujan Mathematical Competition Level 3, organized by ISTE Tamil Nadu Section on 24th November 2024.
13 Dec, 2024
Srinivasa Ramanujan Level 2
Praveen.R, III Year, Nithya.R, II Year, Vinothini.S, Swethanraja.S, II Year AI&DS, participated in the National Level Srinivasa Ramanujan Mathematical Competition Level 2, organized by ISTE Tamil Nadu Section
13 Dec, 2024
Program Educational Objectives
PEO 1
Equip graduates with strong foundational and applied skills in AI and Data Science to create impactful solutions for real-world challenges.
PEO 2
Prepare graduates to succeed in dynamic global industries and foster innovation and entrepreneurship in AI and Data Science.
PEO 3
Develop graduates with ethical values, leadership qualities, and a commitment to contributing to societal and environmental well-being.
Program Outcomes
POs describe what students are expected to know or be able to do by the time of graduation from the program. At the time of their graduation, the B.E. Computer Science and Engineering students will have the following abilities.
PO 1. Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO 2. Identify, formulate, research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
PO 3. 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.
PO 4. 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.
PO 5. Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
PO 6. 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.
PO 7. Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
PO 8. Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO 9. Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings
PO 10. 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.
PO 11. 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.
PO 12. 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 1
Use AI and Data Science knowledge to create practical solutions for real-world problems across different fields.
PSO 2
Apply AI and Data Science responsibly to benefit society while following ethical and sustainable practices.
PSO 3
Develop skills to work effectively in teams, solve problems, and adapt to new technologies for successful career in AI & DS.
Laboratory
The Multimodal Information Laboratory at IFET’s AI and Data Science Department is a state-of-the-art facility designed to equip students with hands-on experience in advanced data processing techniques. The lab specializes in integrating and analyzing data from diverse modalities such as text, image, audio, and video, fostering a multidisciplinary approach to problem-solving. With cutting-edge tools and industry-standard software, the lab empowers students to explore innovative solutions in fields like predictive analytics, natural language processing, and computer vision. It serves as a hub for academic excellence, preparing students for real-world challenges in AI and Data Science.
Faculty List
| S. No. | Faculty Name | Designation | Degree |
|---|---|---|---|
01 | Mrs. P. Manjubala | Associate Professor | M.E.(Ph.D) |
02 | Mrs. V. Suganthi | Associate Professor | M.Tech. |
03 | Mr.M.Arulpugazhendhi | Associate Professor | M.E.(Ph.D) |
04 | Mrs.P. Divya | Assistant Professor | M.E. |
05 | Mrs. S. Sudha | Assistant Professor | M.Tech. |
06 | Mrs. S. Arunakumari | Assistant Professor | M.E. |
07 | Mrs. J. Jayanthi | Assistant Professor | M.E. |
08 | Mrs. S. Suriyapriya | Assistant Professor | M.E. |
09 | Mrs. Karthiga | Assistant Professor | M.Tech. |
10 | Mrs.G.Saradhambal | Assistant Professor | M.E. |
11 | Mrs. L.Mohanapriya | Assistant Professor | M.Tech. |
12 | Mrs.A.Melkiya Ranjani | Assistant Professor | M.E. |
Board of Studies
| S. No. | Name | Designation | Position | Category |
|---|---|---|---|---|
01 | Dr. A. Thenral | Professor, Department of Information and Technology | Chairman | Head of the Department |
02 | Dr. P. Geetha | Professor, Department of Computer Science and Engineering CEG Campus, Anna University, Chennai – 600025. | Member | Expert nominated by the Vice-Chancellor |
03 | Dr. S. P. Santharaja | Professor, School of Information Technology and Engineering (SITE), Vellore Institute of Technology (VIT), Vellore. | Member | Subject experts from Outside the parent University to be nominated by the Academic Council |
04 | Dr. P. S. NithyaDarshini | Professor, School of Computer Engineering, Vellore Institute of Technology (VIT), Vellore, Chennai – 600 127. | Member | Subject experts from Outside the parent University to be nominated by the Academic Council |
05 | Mr. S. Venkat Narayanan | Senior Vice President, Infosys Compaz, Singapore | Member | One Industry / Corporate / Allied area Representative relating to placement |
06 | Mr. U. Prabu | Assistant Professor, Dept of Computer Science and Engg, Velagapudi Ramakrishna Siddhartha Engg College, Kanuru, Vijayawada | Member | Post Graduate Meritorious Alumni nominated by the principal |