Program Committee

The Program Committee of the NeurIPS 2026 Workshop on AI for Chip Design consists of researchers and practitioners from machine learning, electronic design automation, computer architecture, and semiconductor systems. Committee members will contribute to the peer-review process and help ensure high-quality, constructive feedback for all submissions.

Outstanding reviewer/s will be recognized by the organizers with a free NeurIPS conference registration.

Program Committee Members

The workshop organizers gratefully acknowledge the Program Committee members who contributed reviews during the peer-review process:

  • Miquel Alberti-Binimelis — Universitat Politècnica de Catalunya
  • Aman Arora — Arizona State University
  • Yunsheng Bai — NVIDIA
  • Lukas Cavigelli — Huawei Technologies
  • Jianyi Cheng — University of Edinburgh
  • Serena Curzel — Polytechnic Institute of Milan
  • Caiwen Ding — University of Minnesota - Twin Cities
  • Jan Ole Ernst — Normal Computing
  • Pierre-Emmanuel Gaillardon — University of Utah
  • Roberto Gioiosa — NVIDIA
  • Razine Moundir Ghorab — Barcelona Supercomputing Center
  • Cristian Gutierrez-Gomez — Barcelona Supercomputing Center
  • Omar Hammami — ENSTA Paris
  • Chia-Tung Ho — NVIDIA
  • Hadi Kamali — University of Central Florida
  • Anand Kane — Meta
  • Victor Kravets — IBM
  • Bing Li — Technische Universität Ilmenau
  • Yawei Li — Nanyang Technological University
  • Ting Jung Lin — Eastern Institute of Technology
  • Guillem Lopez-Paradis — Universitat Politècnica de Catalunya
  • Colin McKellar — lowRISC
  • Sromana Mukhopadhyay — BlockQuest Labs Inc.
  • Robert D. Mullins — University of Cambridge
  • Daniele Jahier Pagliari — Politecnico di Torino
  • Rajeev Patwari — Advanced Micro Devices
  • Madhura Purnaprajna — Advanced Micro Devices
  • Jeyavijayan Rajendran — Texas A&M Engineering Experiment Station
  • Rajath Salegame — Normal Computing
  • Mehdi Saligane — Brown University
  • Ulf Schlichtmann — Technical University of Munich
  • Benaoumeur Senouci — University of Southern Denmark
  • Lorenzo Servadei — Technical University of Munich
  • Geert D.J. Smit — NXP Semiconductors
  • Valerio Tenace — University of Utah
  • Antonino Tumeo — Pacific Northwest National Laboratory
  • Pedro Valero-Lara — Oak Ridge National Laboratory
  • Qiang Xu — The Chinese University of Hong Kong
  • Cunxi Yu — University of Maryland, College Park
  • Jeff Zhang — Arizona State University

Reviewing Process

All submissions will undergo double-blind peer review.

Each submission will receive at least three independent reviews. Reviewers will evaluate submissions based on:

  • Relevance to the workshop
  • Technical quality
  • Originality
  • Clarity of presentation
  • Potential impact and contribution to the community

Reviewer Guidelines

Reviewers are expected to:

  • Provide constructive and respectful feedback.
  • Maintain confidentiality of submitted manuscripts.
  • Avoid conflicts of interest.
  • Complete reviews within the assigned timeline.

Reviewers must not use external generative AI systems to review submissions or process confidential paper content, in accordance with the NeurIPS 2026 policies.