Xuesi Chen 陈学思

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📧 xc562[at]cornell.edu

🧾 Curriculum Vitae

I am a first-year PhD student in the Electrical and Computer Engineering Department at Cornell Tech, advised by Professor Udit Gupta.

My research focuses on designing energy-efficient computing systems from a full-stack perspective, spanning compiler optimization to embedded edge platforms. I develop models and tools to understand the relationships between performance, energy use, and environmental impact, and explore hardware–software co-design strategies that improve efficiency across the system stack. Much of my recent work looks at edge devices, where I study how design choices affect both system performance and long-term sustainability.

Prior to joining Cornell Tech, I received my MS from Carnegie Mellon University, where I focused on energy-efficient dataflow architecture design for coarse-grained reconfigurable arrays (CGRAs) under the supervision of Nathan Beckmann and Brandon Lucia. As an undergraduate at Tufts University, I researched cache contention and CPU performance modeling, advised by Mark Hempstead.

selected publications

  1. A Greener Edge: A Framework on Carbon-aware Edge ML System Design
    Xuesi Chen, Ilan Mandel, Eren Yildiz, and 2 more authors
    In ACM International Conference on Mobile Systems, Applications, and Services (MobiSys), 2026
  2. CarbonClarity: Understanding and Addressing Uncertainty in Embodied Carbon for Sustainable Computing
    Xuesi Chen, Leo Han, Anvita Bhagavathula, and 1 more author
    In IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2025