External Faculty Collaborations
Frank Rosinia, MD, MHCM. is the Chair of Anesthesiology and Nikos Papanikolaou, PhD., MBA is the Chief of Medical Physics at University of Texas Health at San Antonio. Drs. Rosinia and Papanikolaou provides clinical experience and know-how when solving healthcare operations and treatment planning problems.
Shaunak Dabadghao, PhD and Ahmadreza Marandi, PhD are Assistant Professors in Industrial Engineering and Innovation Sciences at Eindhoven University of Technology. Drs. Dabadghao and Marandi help design optimal intervention policies for robust optimization problems.
Justin Boutilier, PhD is an Assistant Professor in Industrial and Systems Engineering and Honorary Fellow in Emergency Medicine at the University of Wisconsin – Madison. Dr. Boutilier provides expertise in combining optimization and machine learning to improve the quality, access, and delivery of radiotherapy.
Arthur Yeh, PhD is a Professor in Applied Statistics and Operations Research at Bowling Green State University. Dr. Yeh provides expertise on statistical process control tools that can be applied to radiotherapy plan QA.
Kasey Faust, PhD is an Assistant Professor in Civil, Architectural and Environmental Engineering at the University of Texas at Austin. Dr. Faust provides expertise on designing sustainable services for marginalized communities.
Kai Sun, PhD is a Postdoctoral Fellow in Management Science and Statistics at University of Texas at San Antonio. He develops robust and equitable scheduling solutions to staffing challenges faced by healthcare practitioners, and works collaboratively with a team of managers and physicians at University of Texas Health at San Antonio.
Ruiqi Li and Sruthi Sivabhaskar are PhD students in the Radiological Science Program at University of Texas Health at San Antonio. Ruiqi develops robust predictive and prescriptive models for cancer radiotherapy planning. Sruthi applies machine learning algorithms for radiotherapy quality control. They work collaboratively with researchers from University of Texas at San Antonio.
CBCT-Guided Adaptive Radiotherapy using Self-Supervised Sequential Domain Adaptation with Uncertainty Estimation
Managing Tumor Changes during Radiotherapy using a Deep Learning Model
Machine Learning Models to Predict the Delivered Positions of Elekta Multileaf Collimator Leaves for Volumetric Modulated Arc Therapy
Reisa Widjaja is a Doctoral student in Management Science and Statistics at University of Texas at San Antonio. Reisa contributed to developing personalized quality control tools for cancer radiotherapy plan evaluation.
Publication: Treatment Plan Quality Control using Multivariate Control Charts
Pallav Routh, graduated M.S. in Applied Statistics at Bowling Green State University, is currently pursuing Ph.D. in Marketing at UTSA. Pallav contributed to developing robust models that improve customer relationship management.
Publication: Estimating Customer Churn under Competing Risks