Suvarthi Sarkar
- Agentic AI
- AI Planning
- Cloud Computing
- Agentic Workflow
- Edge Computing
- Vehicular Cloud Computing
- Serverless Computing
- Container Placement and Scheduling
- Multi-Agent Systems
- Agentic AI
- AI Planning
- Cloud Computing
- Agentic Workflow
- Edge Computing
- Vehicular Cloud Computing
- Serverless Computing
- Container Placement and Scheduling
- Multi-Agent Systems
Suvarthi Sarkar is a Computer Science and Engineering researcher with research interests spanning Agentic AI, AI Planning, Cloud Computing, and Agentic Workflow. His research work also encompasses emerging areas of edge-cloud computing, vehicular cloud systems, serverless computing, container placement, scheduling, storage management, and multi-agent collaboration. His research contributions include work on revenue and profit maximization in edgecloud and vehicular computing environments, power-aware container placement, dynamic space partitioning, collaborative storage management, serverless scientific workflows, and LLM-based multi-agent collaboration for constrained multi-objective optimization.
- Ph.D., Computer Science (Thesis Submitted)
- M.Tech., Computer Science, University of Calcutta / IIT Guwahati
- M.Sc., Computer Science, University of Calcutta
- B.Sc., Computer Science, St. Xavier's College, Kolkata
- Agentic AI
- AI Planning
- Agentic Workflow
- Cloud Computing
- Edge Computing
- Vehicular Edge Computing
- Vehicular Cloud Computing
- Edge-Cloud Computing
- Serverless Computing
- Container Placement
- Container Scheduling
- Power-Aware Computing
- Multi-Agent Systems
- LLM-Based Multi-Agent Collaboration
- Multi-Objective Optimization
- Reliability-Aware Computing
- Storage Management
- Distributed Systems
- Geo-Distributed Serverless Workflows
- Scientific Workflows
- Data-Parallel Scheduling
- Heterogeneity-Aware Scheduling


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