Faculty Accomplishments

³ÉÈËÊÓƵprofessors have won Guggenheim awards, NASA grants and Carnegie Fellowships.

They receive millions in funding from national foundations, leading to unique research opportunities for students.

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Alyxander Burns*, Bernd Schulze, Audrey St. John. Persistent Multi-Robot Formations with Redundancy. In Proc. of 13th International Symposium on Distributed Autonomous Robotic Systems (DARS ’16), 2016.
* indicates undergraduate author


Heather Pon-Barry, Audrey St. John, Becky Packard, Barbara Rotundo. Megas and Gigas Educate (MaGE): A Curricular Peer Mentoring Program. Poster in Proc. of 47th ACM Technical Symposium on Computing Science Education (SIGCSE 2016), Memphis, TN, 2016.


James Farre*, Helena Kleinschmidt*, Jessica Sidman, Audrey St. John, Stephanie Stark*, Louis Theran, Xilin Yu*. Algorithms for detecting dependencies and rigid subsystems for CAD. Computer Aided Geometric Design, 47: 130-149, 2016.
* indicates undergraduate author


St. John, A.  AMS Blog on Teaching and Learning Mathematics, April 2015


Rittika Shamsuddin*, Milka Doktorova*, Sheila Jaswal, Audrey Lee-St. John and Kathryn McMenimen. Computational Prediction of Hinge Axes in Proteins. BMC Bioinformatics, 15(8), 2014
* indicates undergraduate author


Audrey Lee-St. John and Jessica Sidman. Combinatorics and the Rigidity of CAD Systems. Computer-Aided Design 45(2):473-482, 2013. (Best Paper Award, Symposium on Solid & Physical Modeling, Dijon, France, October 2012.)


Has been named to the Advisory Board of the Gilder-Lehrman Institute of American History.


Received a grant from the National Science Foundation (NSF) for her project CRII: RI: RUI: Generating Haptics in Telerobotics through Perception Complementarities during Physical Distancing. The project is for two years. 


Huang, K.; Chitrakar, D.; Jiang, W.; Yung, I. & Su, Y.H. (2022). Surgical Tool Segmentation with Pose-Informed Morphological Polar Transform of Endoscopic Images. Journal of Medical Robotics Research (2022).


Huang, K.; Chitrakar, D.; Jiang, W. & Su, Y.H. (2021). Enhanced U-Net Tool Segmentation Using Hybrid Coordinate Representations of Endoscopic Images. 2021 International Symposium On Medical Robotics (ISMR)