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Suvarthi Sarkar

Assistant Professor
Computer Science
 Mumbai Campus
Expertise
  • Agentic AI
  • AI Planning
  • Cloud Computing
  • Agentic Workflow
  • Edge Computing
  • Vehicular Cloud Computing
  • Serverless Computing
  • Container Placement and Scheduling
  • Multi-Agent Systems
Expertise
  • 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.

Qualifications
  • 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
Research Areas
  • 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