Department of
Department of
About the Department
The Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning) Learning at KiTE stands at the forefront of modern computing education. Established with the mission to empower students with future-centric technological skills, the department integrates computer science, mathematics, data science, and cognitive intelligence into one unified discipline.
Through a blend of academic rigor, research-driven learning, and industry exposure, the department ensures that every graduate is prepared to take on the challenges of the AI-powered digital era. The department envisions creating innovators and problem-solvers capable of driving the next wave of AI-enabled transformation across industries — from healthcare and finance to automation, robotics, and sustainability.
Established
Faculty Strength
Student Intake
Labs
Flagship Events
The KiTE CSE Department regularly hosts high-impact events designed to challenge and sharpen student skills, with Hackathons being a prominent fixture. Such events provide intense, collaborative problem-solving experiences, simulating real-world tech sprints and encouraging innovative product development.
HackVerse – Annual Hackathon
Code Carnival – Inter-collegiate Coding Fest
InnovateX – Project Expo
TechTalks – Guest Lecture Series
Recent Highlights
Workshop on Generative AI
Seminar on Cybersecurity Trends
Alumni Panel Discussion on Career Pathways
Bootcamp on Full Stack Development
“At our department, our focus is not just on teaching AI and ML concepts, but on nurturing responsible, industry-ready innovators. Through strong collaboration with industry professionals, research institutions, and the KGiSL ecosystem, we guide our students to apply their knowledge in building solutions that deliver meaningful social and economic impact.”
Dr. J. Nirmaladevi, M.E., Ph.D.
Professor and Head of the Department of CSE (AI&ML)
Head of the Department of IT
Dr. Nimaladevi has extensive experience in outcome-based education, institutional quality frameworks, and academic leadership, with a strong commitment to student mentoring and building academic excellence through industry-aligned learning ecosystems. Her research interests include Artificial Intelligence, Natural Language Processing, Deep Learning, Data Analytics, and Visualization, with a special focus on Tamil language-centric AI for human-centric intelligent systems. She is also the Founder of IniyenMozhi and writes under the pen name “Yazh,” integrating technology, language, and creativity to drive meaningful academic and societal impact.
The CSE (AI&ML) Department at KiTE offers structured academic programs designed to build strong domain expertise, complemented by specialization through value-added courses.
Level
Program
Undergraduation
B.E. Computer Science and Engineering (Artificial Intelligence & Machine Learning)
Programs Offered
B.E in Artificial Intelligence and Machine Learning– 4 Years (Full-Time, Affiliated to Anna University)
The department encourages interdisciplinary and applied research that pushes the boundaries of AI innovation. Students and faculty collaborate on sponsored projects and publish findings in reputed national and international journals.
The department also motivates students to participate in AI hackathons, Kaggle competitions, and research symposiums, fostering a vibrant research culture from the undergraduate level.
To strengthen academia-industry collaboration, the department maintains MoUs with leading technology organizations and research partners.
Active MoUs
These partnerships strengthen students’ scientific understanding and prepare them for higher-level engineering courses.
Amazon Web Services (AWS) Academy – Cloud and AI integration training
Microsoft Azure AI Program – AI & Data Science labs
Red Hat Academy – AI-based automation systems
UiPath Academic Alliance – Robotic Process Automation (RPA)
KGiSL Software Division – Industry projects and internships
ICT Academy – Faculty development and certification programs
These partnerships strengthen students’ scientific understanding and prepare them for higher-level engineering courses.
The CSE (AI&ML) Department faculty is a blend of seasoned academics and industry experts, committed to personalized student mentoring. The department actively engages Professors of Practice (PoPs), who are accomplished professionals hand-picked directly from the corporate world to deliver real-time, practical instruction.
Dr. Nirmaladevi J
PROFESSOR M.E., Ph.D
Anitha M
PROFESSOR
M.E.
Ms.ARUNA.R
ASSISTANT PROFESSOR
M.E
MS.SRUTHI MOL P
ASSISTANT PROFESSOR
M.E
Mr.RAAKESH M
ASSISTANT PROFESSOR
M.E
Faculty Highlights
Ph.D. and M.Tech-qualified experts in emerging technologies
Research publications in IEEE, Springer, and Scopus-indexed journals
Industry-certified professionals in TensorFlow, AWS, and Python
Active involvement in student mentoring, startup incubation, and innovation projects
The department offers world-class infrastructure and computing facilities that enhance both learning and innovation.
Key Facilities
Every facility is designed to give students the technological ecosystem to explore, experiment, and innovate confidently.
These activities aim to inspire collaboration, creativity, and leadership in the world of intelligent technologies.
Key Initiatives
These activities nurture teamwork, confidence, and holistic development among students.
AI & Data Science Club – A student-driven platform for knowledge sharing and project innovation
Workshops & Seminars – Hands-on sessions on Deep Learning, NLP, Cloud AI, and MLOps
Annual Hackathon – “Cognitive Challenge” – Problem-solving event focused on AI applications
Industry Expert Lectures– Sessions from data scientists, AI engineers, and researchers
AI Research Symposium– Platform for publishing and presenting student research work