ABOUT THE DEPARTMENT
UG – B.Tech. Artificial Intelligence and Machine Learning
Artificial Intelligence and Machine Learning is introduced from the Academic Year 2021-22.
DEPARTMENT
VISION & MISSION
VISION
To be a premier center of excellence in producing professionals in Artificial Intelligence and Machine Learning through excellence in education and positive contribution to the organizations and society.
MISSION
- To provide a conducive atmosphere to master the students in problem solving and analytical skills to enhance their expertise in the field of Artificial Intelligence and Machine Learning through innovation and socially responsible with ethical values.
- To impart high quality professional training to get expertise in modern software tools and technologies to cater to the real time requirements of the industry.
- To encourage students all-round professional growth, with up-to-date knowledge in AI&ML, team spirit, leadership abilities and creativity.
PROGRAMME EDUCATIONAL OBJECTIVES
- Graduates will have technical skills, competency in fundamentals of Mathematics, Programming and Artificial Intelligence in modelling, designing and conducting of experiments to provide solutions for industry’s complex technological problems.
- Graduates will contribute towards the knowledge base through significant research activities to promote design and implementation of products and services in the field of Engineering through effective Communication skills.
- Graduates will equip with strong knowledge, competence and soft skills that allows them to contribute to the needs of society and engage in continuous professional development through life-long learning.
- Graduates will commit to work in multi-disciplinary teams ethically and socially responsible solution providers and entrepreneurs in the field of Artificial Intelligence and Machine Learning.
PROGRAMME SPECIFIC OUTCOMES
- Graduates should be able to develop computational knowledge and project development skills and apply practical competency using innovative tools and techniques to solve problems in the field of artificial intelligence for efficient design of intelligent systems of varying complexity.
- Graduates should be able to contribute productive ideas and innovative solutions for interdisciplinary problems through acquired programming knowledge in the respective domains complying with real-time constraints.
- Graduates should be self-motivated and enhance self-learning as well as capability to adapt to construct systems by applying AI/ML methods, to derive software systems of high quality.
LIST OF FACULTY
S. NO | NAME | QUALIFICATION | DESIGNATION | DATE OF JOINING |
1. | Dr. S. KOTEESWARAN | M.E, Ph.D. | PROFESSOR & HEAD | 01.06.2023 |
2. | Mrs. S.LAKSHMI PRIYA | M.E | ASSISTANT PROFESSOR | 08.03.2023 |
3. | Mrs. S.DERISHA MAHIL | M.E | ASSISTANT PROFESSOR | 06.07.2023 |
4. | Mrs. R. CREESY | M.E | ASSISTANT PROFESSOR | 12.02.2024 |
FACULTY
HEAD OF THE DEPARTMENT
Dr. S. KOTEESWARAN
PROFESSOR & HEAD
SPECIALIZATION: AI, ML, Deep Learning, IOT and Big Data Analytics
ASSISTANT PROFESSORS
Mrs. R. CREESY
ASSISTANT PROFESSOR
SPECIALIZATION: AI, ML, Deep Learning, IOT and Big Data Analytics
Mrs. SOWMYA R
ASSISTANT PROFESSOR
SPECIALIZATION: Natural Language Processing, Deep Learning
MRS. V PRAVEENA
ASSISTANT PROFESSOR
SPECIALIZATION: Cloud Computing, Networks, AI and ML
Mrs. LAKSHMI PRIYA S
Assistant Professor
SPECIALIZATION : Mobile Computing
Mrs. REVATHI K
Assistant Professor
SPECIALIZATION : Advanced data structure, Machine Learning