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
Synaptix Inauguration: KiTE Association for AI and Data Science
Deepracer 3.0 with senior industry leaders and professionals from Thoughtworks and AWS
First Open Source Day of 2026, powered by IPS Tech Community
“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
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
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
At KiTE’s Department of Artificial Intelligence & Data Science, partnerships are not just formal agreements — they are gateways to opportunities, knowledge sharing, and technological advancement. The department has built strong alliances with reputed industries, technology companies, and academic bodies to bridge the gap between classroom learning and industrial practice.
Active MoUs
Infosys Springboard & ICT Academy
To empower students with AI-driven employability skills and enhance digital learning through hands-on courses and certifications in Python, Data Science, and Cloud AI.
Amazon Web Services (AWS) Academy
Provides access to cloud-based AI/ML infrastructure, allowing students to build, deploy, and scale intelligent applications with real-world use cases.
UiPath Academic Alliance
Enables robotic process automation (RPA) learning, integrating AI with business workflow automation — a valuable skillset for modern data professionals.
Red Hat Academy
Equips students with foundational knowledge in Linux and container-based systems critical for data and cloud environments.
Autodesk & PTC Academic Partnership
Facilitates cross-domain learning for data-driven design and analytics, opening avenues for interdisciplinary projects.
Data Science Foundation (UK)
Collaboration for research publications, conferences, and international knowledge exchange programs.
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.
Dr.KANNAN.R
PROFESSOR & DEAN COMPUTING
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
General AI & DS Lab
AI & DS Lab I & II
AI & DS Lab III
AI & DS Lab IV
AI & DS Lab V & VI
Digital Lab
Linear Integrated Circuits Lab
Embedded System Lab
