Scholar

Liwei Wang

Google Scholar ID: VPWy3N8AAAAJ

Carnegie Mellon University, Northwestern University, SJTU

data-driven designmetamaterialssoft mattertopology optimizationmachine learning

Citations & Impact

All-time

Citations

1,428

H-index

i10-index

Publications

Co-authors

list available

Contact

No contact links provided.

Publications

20 items

Browse publications on Google Scholar (top-right) ↗

Resume (English only)

Academic Achievements

- 04/16/2025: Our paper on data-driven metamaterials design was ranked among the top 10% of most-viewed papers published by Advanced Materials in 2023
- 03/28/2025: Check out our preprint on arXiv about co-designing materials, structures, and stimuli of magnetic robots within minutes
- 10/24/2024: Our Lab is featured in MechE News: Making magic with materials to enhance human well-being
- 08/25/2024: Dr. Wang received the inaugural Design Automation Dissertation Award from American Society of Mechanical Engineers (ASME)

Research Experience

Position: Head of Computational & Physical Intelligence Lab at Carnegie Mellon University
Work Experience:
- 08/15/2025: Tim and Yujie joined the CPhI lab
- 06/18/2025: Dr. Wang delivered an invited talk at the Large Scale Structural Systems and Optimal Design Virtual Seminar, Sponsored by USACM Technical Thrust Area on Large Scale Structural Systems and Optimal Design
- 04/25/2025: Dr. Wang delivered an invited talk at the Uncertainty Quantification for Material Science and Engineering workshop, hosted by the Institute for Mathematical and Statistical Innovation (IMSI) at the University of Chicago
- 02/27/2025: Dr. Wang delivered a keynote address at the NAFEMS webinar, Exploring the Status of Data-Driven Engineering: Production-Ready and Emerging Technologies
- 08/25/2024: Dr. Wang gave an invited talk at the ASME-IDETC 2024 workshop, From Data to Design: Challenges and Opportunities across Industry and Academia, in Washington, D.C.
- 08/14/2024: Computational and Physical Intelligence Lab was officially established at Carnegie Mellon University

Background

Research Interests: Synergy between chip-based computational intelligence and nature's physical intelligence. Specialization: Co-design of materials, structures, and stimuli; enabling materials to sense, compute, think, and learn.

Miscellany