Department of
Department of
About the Department
At KiTE’s Department of Artificial Intelligence & Data Science, students experience a dynamic academic environment where curiosity converges with code and ideas evolve into impactful solutions. The department functions not merely as a centre for AI and Data Science studies, but as a launchpad for aspiring engineers eager to explore machine learning, deep learning, big data, and intelligent systems.
A strong emphasis is placed on integrating theoretical foundations with hands-on application, ensuring holistic learning. The department’s core objective is to nurture analytical thinkers, innovative problem-solvers, and socially responsible technology leaders. Students are encouraged to develop data-driven decision-making skills, design intelligent automation, and engage at the intersection of research, industry, and real-world challenges.
Learning extends beyond conventional lectures through live coding sessions, hackathons, interdisciplinary projects, and industry-led laboratories, enabling students to experiment, build, and grow into future-ready professionals.
Established
Faculty Strength
Student Intake
Labs
MoUs
“In a world powered by data, our mission is to ensure students don’t just consume information — they transform it. At KiTE’s AI & DS Department, we teach them to question, model, and lead with intelligence.”
Dr. Kumaresan T, M.E., Ph.D.
Head of Department, Artificial Intelligence and Data Science
Dr. T. Kumaresan brings significant expertise in outcome-based education, quality assurance practices, and academic leadership. He is dedicated to guiding students and strengthening academic standards through curricula that align with evolving industry needs. His scholarly interests span Machine Learning, Deep Learning, and Natural Language Processing. He is more passionate about blending technology, language, and creativity to create lasting contributions to academia and society.
Programs Offered
The CSE Department at KiTE offers structured academic programs designed to build strong domain expertise, complemented by specialization through value-added courses.
Level
Program
Undergraduation
B.Tech in Artificial Intelligence & Data Science
Value Added Courses
Artificial Intelligence, Deep Learning, and Intelligent Systems
Data Analytics, Big Data, and Data Mining
Networks, Cloud Computing, and Distributed Systems
Blockchain and Web Technologies
Image Processing, Computer Vision, and IoT-based Applications
Ongoing Research at AI&DS Department
Comparative Deep Learning Framework
for Fine-Grained Classification of Leaf Blight Diseases in Corn, Potato, and Tomato
Ashforn Hermina J M
Dr. T Kumaresan
Hybrid Coyote-Driven Partitioning and Refinement with Puma-Hybrid Vision Transformer
for Accurate Cardiac Image Segmentation and Classification
Steephan Amalraj J
Dr. T Kumaresan
Machine Learning Methods
to predict signs of Parkinson’s Brain Disease
Divyabharathi P
Dr. T Kumaresan
Hybrid Knowledge-AI System
with Enhanced Deep Learning and Rule-Based Reasoning for Smart Viticulture Management
Chozha Rajan P
Dr. T Kumaresan
The Department of AI & DS boasts a team of highly qualified, research-driven faculty who combine technical mastery with a passion for teaching. Their expertise spans artificial intelligence, machine learning, data analytics, NLP, and cloud-based computing - ensuring that every student receives a holistic, research-backed education.
Ms.SUGANTHI.A
ASSISTANT PROFESSOR
M.E., (Ph.D.)
Dr.KUMARESAN.T
PROFESSOR
M.E., Ph.D.
Mr.MOHANRAJ.S
ASSISTANT PROFESSOR
M.E., (Ph.D)
Mr.SATHISH.R
ASSISTANT PROFESSOR
M.E., (Ph.D)
Ms.SUGANYA.T
ASSISTANT PROFESSOR
M.E., (Ph.D)
Ms.JASMINE SARANYA.P
ASSISTANT PROFESSOR
M.E., (Ph.D)
Ms.RAMANI.P
ASSISTANT PROFESSOR
M.E
Ms.AKILANDESWARI.M
ASSISTANT PROFESSOR
M.E
AI & DS Undergraduate Labs
AI & DS Lab I & II
AI & DS Lab III
AI & DS Lab IV
AI & DS Lab V & VI
General AI & DS Lab
Digital Lab
Linear Integrated Circuits Lab
Embedded System Lab
