We are looking for a new PhD student for an NSF project on model attribution. For prospective students, please email me.
We study engineering design principles for machines that learn and interact with human beings. Focused research topics include
  • (1) methods for identifying worst-case risks (e.g., corner cases in self-driving and adversarial attacks against learning machines such as neural networks),
  • (2) theories for enabling competence awareness of intelligent systems (e.g., risk certification of self-driving cars during interactions with human beings),
  • and (3) new educational tools to prepare future engineers and designers with knowledge to conduct risk specifications and design for intelligent engineering products.
Challenges lie across disciplines including system engineering, machine learning, optimization, optimal control, and game theory. Real-world values of our research include socially adept human-robot interactions, accelerated computational material discovery, and robust machine learning.

Max Yi Ren,
Assistant Professor

Mukesh Ghimire,
MAE PhD w/ Zhe Xu

Sheng Cheng,
CS PhD w/ Yezhou Yang

Lei Zhang,

Changhoon Kim,
CS PhD w/ Yezhou Yang

Wenlong Shi,
Robotics Master's

Travis Zhang,
CS Undergrad, Cornell

Siddharth Das,
Robotics Master's

Richard Cheng,
Hamilton High School

Harsha Lakamsani,
CS Undergrad

Charles Klafter,
MAE Undergrad

Tanner Merry,
US Navy, MAE Undergrad (2021)

John Daly,
NASA, MAE Undergrad (2021)

Pei-En Chen,
MAE PhD w/ Yang Jiao (2021)

Yi Chen,
Aptiv, Robotics Master's (2021)

Benjamin Danek,
New Relic Inc., CS Undergrad (2020)

Hope Yao,
JD, MAE PhD (2019)

Paul Butler,
CS Undergrad (2019)

Guangyu Nie,
Robotics Master's (2019)

Cody McMahon,
MAE Undergrad (2019)

Ruijin Cang,
Google AI, MAE PhD (2018)

Malcolm Regan,
NCSU PhD, EE Bachelor (2018)

Xianfan Gu,
UIUC Master's, EE Bachelor (2018)

Steven Elliott,
Orbital ATK, MAE Master's (2018)

Saurabh Animesh,
Microsoft, EE Master's (2018)

Michael King,
Stanford ME Master's, MAE Bachelor (2018)

Andrew Leaton,
Texas A&M Master's, MAE Bachelor (2018)

Nathan Cahill,
Orbital ATK, MAE PhD w/ Tom Sugar (2017)

Aditya Vipradas,
MSC Software, MAE Master's (2017)

Adithya Venugopal,
Tachi-S, MAE Master (2017)

Thurston Sexton,
NIST, MAE Master's (2016)

Paul Stobinske,
Orbital ATK, MAE Bachelor (2016)

Fabian Gadau,
Ford, MAE Bachelor (2015)