Kundan Sagar Bedmutha
AI Researcher & Engineer
Fourth-year AI & Data Science researcher at Vishwakarma University, Pune, building systems that are accurate and accountable — across explainable AI, multi-agent systems, LLMs, and healthcare AI.
Highlights
Research Philosophy
"How do we build AI systems that are not just accurate, but trustworthy, explainable, and accountable?"
Research Areas
Where the work lives
Six domains, one throughline — trustworthy, explainable, and accountable AI.
Explainable AI
Causal and counterfactual methods that turn model predictions into actionable, human-understandable explanations.
Natural Language Processing
Multilingual transformers and linguistic feature fusion for nuanced language understanding tasks.
Multi-Agent Systems
Reinforcement learning and neuro-symbolic reasoning for cooperative and negotiating agent systems.
Quantum-Classical Computing
Hybrid orchestration frameworks that pair quantum and classical machine learning workloads.
Healthcare AI
Predictive and generative models for clinical risk assessment and patient-facing healthcare agents.
Ethical AI
Accountability, transparency, and governance frameworks for AI systems deployed in high-stakes settings.
Recent Publications
Latest from the lab
A snapshot of the most recent published work. Full list, organized by research domain, on the Research page.