Nishant Saurabh

Nishant Saurabh is a tenured Assistant Professor at the Department of Information and Computing Sciences, Utrecht University, Netherlands. His research focuses on resource and data management, application scheduling, performance modeling, and optimization in large-scale hybrid distributed systems including Cloud, Edge, and Quantum computing. Recently, he has expanded into ML workload scheduling and causal performance attribution across the Cloud-Edge continuum.

Research Expertise:

• Distributed Systems and Cloud Computing
• Quantum-HPC Middleware Systems
• Performance Modeling and Optimization
• ML/AI Workload Scheduling
• Cloud-Edge Continuum Architectures
• Observability Frameworks

Scientific Leadership:

• Associate Editor, Springer's Journal of Cloud Computing
• Editorial Board, Frontiers of AI book series
• IBM HPC-Quantum Working Committee member
• Workshop Chair, IEEE IPDPS 2025

Supervision: He has supervised 16+ Master/Bachelor students on projects including container migration, reinforcement learning for serverless computing, and quantum middleware evaluation. Current PhD students include Diogo Landau (Performance Observability), Nathan Keyaerts (LLM Methods), and Negar Alizadeh (Energy Efficiency).