Artificial Intelligence & Machine Learning
Cutting-edge program in artificial intelligence and machine learning
Programs Offered
Bachelor of Engineering in AI & Machine Learning
UGFaculty Details
Professors

Dr. H. C. Sateesh Kumar
Professor & Principal
Dr. Raviprakash M L
Professor & HODAssociate Professors

Prof. Niranjan S J
Associate Professor
Prof. Kavitha M G
Associate ProfessorAssistant Professors

Prof. Vidya Shree M
Assistant Professor
Prof. DIVYA C B
Assistant Professor
Prof. Yashaswini N L
Assistant Professor
Prof. B Bhagyalakshmi
Assistant Professor
Prof. Harshiya H
Assistant Professor
Prof. Sharadhi S
Assistant ProfessorDepartment Events
Recent activities and events from Artificial Intelligence & Machine Learning
Kalp-AI-Thon 2025, State-Level Hackathon, A Confluence of Imagination and Innovation
The Department of Artificial Intelligence and Machine Learning hosted Kalp-AI-Thon 2025, a state-level hackathon that united ideas, mentorship, and healthy competition among participants from across the ecosystem.
One-Day National Service Scheme[NSS]Camp
The AI & ML department led a one-day NSS camp that encouraged students to connect classroom learning with real community needs while strengthening values of empathy, teamwork, and service.
One day Student Development Programme on Foundations of Artificial Intelligence: Concepts, Techniques, and Hands-on Problem Solving
The Student Development Programme created a rigorous yet supportive bridge between core AI literacy and tangible engineering outcomes. Sessions unpacked fundamental concepts, from representation and inference to experimentation, alongside pragmatic techniques deployed in classroom and lab workflows.
One-Day National Service Scheme[NSS]Camp
The December NSS immersion continued the tradition of embedding social responsibility alongside technical pursuits. Coordinators emphasized winter outreach themes, logistical readiness, volunteer safety, and documentation of civic impact metrics.
One-Day Social Connectivity Camp
The Social Connectivity Camp focused on deepening peer collaboration, bridging communication gaps, and nurturing inclusive departmental culture alongside leadership dialogues led by mentors.
