Biography

My name is Ruiyang Qin (秦睿阳). I will join the ECE Department at Villanova University as an Assistant Professor in August 2025. I work closely with Professor Sharon Hu (ND), Professor Kai Ni (ND), and Professor Jinjun Xiong (University at Buffalo). I received a Best Paper Award nomination at the IEEE/ACM International Conference on Computer-Aided Design (ICCAD) in 2024 and a Spotlight at the International Conference on Learning Representations (ICLR) in 2025. For my detailed research objectives, please check my cv here.

I am looking for self-motivated Ph.D./M.S/intern students starting from Fall 2025 and Spring 2026. Preferred background in EE, ECE, and CS. If you are interested in working with me, please directly send me an email with your CV. My email address is rqin@nd.edu

Research Interests

Post-CMOS Systems and Design:

In-Memory Computing (i.e., Crossbar)
Content Addressable Memory
Ferroelectric Transistors (FeFET)

Deep Learning:

On-Device AI
Emerging Semiconductor Devices for LLM/DL Acceleration

Education

Georgia Institute of Technology

B.S./M.S. in CS (Aug 2017 - May 2021)

University of Notre Dame

Ph.D. in CSE (Aug 2022 - May 2025)
Adviser: Professor Yiyu Shi

News

2025/06 One paper is accepted by ICCAD 2025 (acceptance rate: 24.7%).
2025/05 One paper is accepted by ACL 2025.
2025/05 One paper is accepted by TODAES.
2025/05 One paper is accepted by ICML 2025 (acceptance rate: 26.9%).
2025/03 Will join ECE at Villanova University as an Assistant Professor!
2025/03 Successfully passed my Ph.D. defense!
2025/01 One paper is accepted by ICLR 2025 as Spotlight (3.20%)!
2025/01 Delighted to give an invited talk at ECE@Villanova University
2024/11 Two papers are accepted by DATE 2025 (acceptance rate: 25%).
2024/10 Receiving best paper nomination from ICCAD 2024 (1.24%)!
2024/10 Receiving academic fellowship from Institute for Artificial Intelligence and Data Science (IAD) at University at Buffalo
2024/08 Visiting X-Lab at Buffalo, supervised by Professor Xiong
2024/08 Being selected as an Edison Innovation Fellow for the 2024/2025 academic year!
2024/07 Passed my oral candidacy. Now I am a PhD candidate. Many thanks to my committee members and my advisor!
2024/06 One paper is accepted by ICCAD 2024 (acceptance rate: 24%).
2024/06 One paper is accepted by TOIS.
2024/06 One paper is accepted by TMIS.
2024/03 Receive Gemma Academic Program GCP Credit Aware up to $15,000 from Google.
2024/02 One paper is accepted by DAC 2024 (acceptance rate: 21.8%).
2024/01 One paper is presented at ASP-DAC 2024.
2023/03 One paper is accepted by RO-MAN 2023.
2023/02 One paper is accepted by DAC 2023.
2022/09 Join Sustainable Computing Laboratory (SCL) at University of Notre Dame.

Review Services

IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
IEEE Intelligent Systems
IEEE Transactions on Mobile Computing
Conference on Neural Information Processing Systems (NeurIPS)
Association for the Advancement of Artificial Intelligence (AAAI)
Journal of Medical Internet Research (JMIR)
International Conference on Learning Representations (ICLR)
Artificial Intelligence and Statistics (AISTATS)
Scientific Report
IEEE International Conference on Computer Design (ICCD)
International Conference on Computer-Aided Design (ICCAD)

Awards

William J. McCalla Best Paper Nomination at ICCAD (10 out of 802 submissions), 2024, USA
IAD Academic Fellowship from University at Buffalo, 2024, USA
Notre Dame Notebaert Professional Development Fund, 2024, USA
Edison Innovation Fellow, 2024, USA
DAC Young Fellow, 2024, USA
DAC Young Fellow, 2023, USA

Invited Talks

“LLM Distillation and Quantization”.

University of Notre Dame, Nov 2024. “Efficient Deployment of Large Language Models on Resource-Constrained Edge Computing Platforms”
Tutorial at ASP-DAC 2025

Teaching (as Teaching Assistant)

CSE 30151 Theory of Computing, Spring 2023 @ Notre Dame
CSE 30246 Database Concepts, Fall 2022 @ Notre Dame
CS 6476 Computer Vision, Spring 2021 @ Georgia Tech