Haoran Qiu

Haoran Qiu is a Systems Researcher at Microsoft Azure Research – Systems (AzRS), focusing on AI-driven cloud systems efficiency. He holds a Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign (UIUC), advised by Prof. Ravishankar K. Iyer, and a B.Eng. in Computer Science from the University of Hong Kong (HKU). His research interests span AI/ML systems, cloud computing, distributed systems, and sustainability. He has interned at Google, Microsoft Research, and IBM Research. Notable awards include the 2023 ML Systems Rising Stars by MLCommons and the Mavis Future Faculty Fellowship.

Education:

• Ph.D., Computer Science, UIUC (2024)
• B.Eng., Computer Science, HKU (2019)
• Visiting Student, University of Wisconsin-Madison (2018)

Research Interests:

• Designing learning-based solutions for cloud systems
• Energy-efficient LLM serving and resource management
• Resilience and sustainability in hyperscale datacenters
• AIOps and ML-driven systems management

Recent Contributions Include:

• Advances in thermal-aware scheduling for LLMs (TAPAS)
• Green computing strategies balancing SLOs and carbon emissions
• Queue management for large language models (QLM)

Awards:

• Best Paper Finalist (L4DC 2024)
• Best Presentation Award (COMPSYS 2022)
• Multiple Fellowships and Scholarships

Labs/Teams: Active in Microsoft Azure Research, contributing to cutting-edge ML-centric cloud systems projects. Collaborates widely with industry (Google, IBM) and academic institutions.