Robustness and self-repair in modular robots. - Mark Yim; Babak Shirmohammadi; Jimmy Sastra; Michael Park; Mike Dugan; Camillo J. Taylor (IROS, 2007)

Towards robotic self-reassembly after explosion. - Mark Yim; Babak Shirmohammadi; Jimmy Sastra; Michael Park; Mike Dugan; Camillo J. Taylor (IROS, 2007)

Automatic Configuration Recognition Methods in Modular Robots. - Michael Park; Sachin Chitta; Alex Teichman; Mark Yim (Int. J. Robotics Res., 2008)

Modular Self-Reconfigurable Robots. - Mark Yim; Paul J. White; Michael Park; Jimmy Sastra (Encyclopedia of Complexity and Systems Science, 2009)

Moment-Matching Graph-Networks for Causal Inference. - Michael Park (CoRR, 2020)

SyDeBO: Symbolic-Decision-Embedded Bilevel Optimization for Long-Horizon Manipulation in Dynamic Environments. - Zhigen Zhao; Ziyi Zhou; Michael Park; Ye Zhao 002 (IEEE Access, 2021)

Dynamics of Disruption in Science and Technology. - Michael Park; Erin Leahey; Russell J. Funk (CoRR, 2021)

FNetAR: Mixing Tokens with Autoregressive Fourier Transforms. - Tim Lou; Michael Park; Mohammad Ramezanali; Vincent Tang (CoRR, 2021)

Building capacity of community health centers to overcome data challenges with the development of an agile COVID-19 public health registry: a multistate quality improvement effort. - Lisa Romero; Pedro B. Carneiro; Catharine Riley; Hollie Clark; Raymonde Uy; Michael Park; Tebitha Mawokomatanda; Jennifer M. Bombard; Alison Hinckley; Julia Skapik (J. Am. Medical Informatics Assoc., 2021)

Deep learning on time series laboratory test results from electronic health records for early detection of pancreatic cancer. - Jiheum Park; Michael G. Artin; Kate E. Lee; Yoanna S. Pumpalova; Myles A. Ingram; Benjamin L. May; Michael Park; Chin Hur; Nicholas P. Tatonetti (J. Biomed. Informatics, 2022)

Serendipity in Science. - Pyung Nahm; Raviv Murciano-Goroff; Michael Park; Russell J. Funk (CoRR, 2023)

Structured deep embedding model to generate composite clinical indices from electronic health records for early detection of pancreatic cancer. - Jiheum Park; Michael G. Artin; Kate E. Lee; Benjamin L. May; Michael Park; Chin Hur; Nicholas P. Tatonetti (Patterns, 2023)

Prismatic Trust: How Structural and Behavioral Signals in Networks Explain Trust Accumulation. - Giuseppe Soda; AKS Zaheer; Michael Park; Bill McEvily; Mani R. Subramani (Manag. Sci., 2025)

Robust Evidence for Declining Disruptiveness: Assessing the Role of Zero-Backward-Citation Works. - Michael Park; Erin Leahey; Russell J. Funk (CoRR, 2025)