Exploring Intelligent Systems for the Next Generation of Computing
My research explores intelligent, adaptive and collaborative computing systems across Artificial Intelligence, Edge Intelligence, Agentic AI, Multi-Agent Systems and Edge–Cloud collaboration.
Research Scholar
IIT (ISM) Dhanbad
Research Focus
AI & Intelligent Systems
Researcher, Technologist & Educator
I am a technology professional, researcher and Microsoft Certified Trainer with a research interest in Artificial Intelligence, intelligent computing and emerging distributed AI systems.
My doctoral research at IIT (ISM) Dhanbad focuses on exploring intelligent systems that can operate collaboratively across distributed computing environments while adapting to changing conditions.
My broader research interests include Edge Intelligence, Agentic AI, Multi-Agent Systems, Reliable AI, Federated Learning, Collaborative Intelligence and Edge–Cloud Computing.
Alongside academic research, I explore the practical application of emerging technologies through prototypes, AI solutions, educational platforms and applied research projects.
Research Areas
My research interests span intelligent systems, distributed AI and emerging computing paradigms.
Edge Intelligence
Intelligent processing and decision-making closer to data sources for low-latency, efficient and context-aware systems.
Agentic AI
Autonomous AI agents capable of reasoning, planning, collaboration, tool use and adaptive decision-making.
Multi-Agent Systems
Collaborative intelligent agents working together to solve complex distributed problems.
Reliable AI
Building AI systems that are robust, explainable, adaptive and capable of identifying uncertainty and failures.
Federated & Collaborative Learning
Distributed learning approaches that enable multiple participants to collaboratively build intelligent models.
Edge–Cloud Intelligence
Coordinating intelligence across edge devices, distributed infrastructure and cloud platforms.
Current PhD Research
My doctoral research investigates how intelligent systems can become more adaptive, collaborative and reliable in distributed computing environments.
Explore PhD ResearchSelf-Diagnosing & Adaptive Intelligent Systems
The research explores intelligent systems that can observe their own behaviour, identify uncertainty or degradation, collaborate with other intelligent components and adapt their behaviour to maintain reliable performance.
Self-Diagnosis
Detecting uncertainty and system degradation.
Collaboration
Distributed agents working together.
Adaptation
Dynamic adaptation to changing environments.
Reliability
Improving robustness of intelligent systems.
Exploring New Frontiers
Selected research directions and experimental projects exploring emerging intelligent computing paradigms.
Self-Diagnosing AI Systems
Investigating AI systems capable of monitoring their own behaviour, identifying uncertainty and supporting adaptive decision-making.
Collaborative Edge Intelligence
Exploring collaborative intelligence across distributed edge devices and cloud infrastructure.
Adaptive Multi-Agent Systems
Studying adaptive agent architectures for reasoning, collaboration and distributed problem solving.
Federated & Collaborative AI
Exploring distributed learning and collaborative intelligence while considering privacy, efficiency and heterogeneous environments.
Academic & Research Journey
Doctoral Research
Research Scholar at IIT (ISM) Dhanbad exploring intelligent and distributed computing systems.
Ongoing
AI & Cloud Innovation
Developing and experimenting with AI, cloud and intelligent system prototypes.
Ongoing
Academic & Research Profiles
Connect with my research and professional work across academic and technology platforms.