Keyser, John individual record
- Professor - Term Appointment, Computer Science and Engineering, College of Engineering
- Faculty Affiliate, Institute for Engineering Education and Innovation
My research interests are broadly in the area of graphics, with specific emphasis on geometric modeling and simulation.
education and training
- Ph.D. in Computer Science, University of North Carolina at Chapel Hill - (Chapel Hill, North Carolina, United States) 2000
- B.S. in Computer Science, Applied Mathematics, and Engineering Physics, Abilene Christian University - (Abilene, Texas, United States) 1994
- Han, D., & Keyser, J. (2016). Effect of Low‐level Visual Details in Perception of Deformation. COMPUTER GRAPHICS FORUM. 35(2), 375-383.
- Sander, P. V., & Keyser, J. (2016). Guest Editor's Introduction to the Special Section on the ACM Symposium on Interactive 3D Graphics and Games (I3D). IEEE Transactions on Visualization and Computer Graphics. 22(10), 2214-2214.
- Xu, S., & Keyser, J. (2016). Statistical geometric computation on tolerances for dimensioning. CAD Computer Aided Design. 70, 193-201.
- Xu, S., & Keyser, J. (2014). Geometric computation and optimization on tolerance dimensioning. CAD Computer Aided Design. 46(1), 129-137.
- Biggers, K., & Keyser, J. (2012). Inference-Based Surface Reconstruction of Cluttered Environments. IEEE Transactions on Visualization and Computer Graphics. 18(8), 1255-1267.
- Xu, S., Li, H., & Keyser, J. (2019). Field-Aware Parameterization for 3D Painting. ADVANCED DATA MINING AND APPLICATIONS, PROCEEDINGS. 11542 LNCS, 131-142.
- Miller, D. E., Shah, R. S., Zhang, W., Yoo, J., Kwon, J., Mayerich, D., ... Choe, Y. (2016). Fast Submicrometer-Scale Imaging of Whole Zebrafish Using the Knife-Edge Scanning Microscope. 2016 38TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC). 2016, 5901-5904.
- Han, D., & Keyser, J. (2015). Effect of appearance on perception of deformation. 37-44.
- Keyser, J., & Sander, P. (2015). Preface. 6.
- Das, S. L., Keyser, J., & Choe, Y. (2015). Random-Forest-Based Automated Cell Detection in Knife-Edge Scanning Microscope Rat Nissl Data. PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), VOLS 1-5. 2015-September, 1-8.
awards and honors
chaired theses and dissertations
- Han, Donghui (2017-05). Perceptual Effects in Physically Based Animation with Rigid and Deformable Objects. (Doctoral Dissertation)
- Xu, Songgang (2015-12). Numerical and Geometric Optimizations for Surface and Tolerance Modeling. (Doctoral Dissertation)
- Miller, Daniel Evan (2014-12). A Combined Skeleton Model. (Master's Thesis)
- Hsu, Shu-Wei (2013-05). Statistical and Directable Methods for Large-Scale Rigid Body Simulation. (Doctoral Dissertation)
- Clack, Billy (2012-05). Physical Simulation of an Embedded Surface Mesh Involving Deformation and Fracture. (Master's Thesis)
Texas A&M University; Computer Science & Engineering; 3112 TAMU
College Station, TX 77843-3112