Gave a talk on our work Personalized Cardiovascular Disease Risk Mitigation via Longitudinal Inverse Classification at the 2020 IEEE International Conference on Bioinformatics and Biomedicine Workshops (Artificial Intelligence Techniques for Biomedicine and Healthcare).
Our paper, Optimal Sepsis Patient Treatment using Human-in-the-loop Artificial Intelligence, is accepted at Expert Systems with Applications (ESWA) (Impact Factor: 5.452).
Our paper, Personalized Cardiovascular Disease Risk Mitigation via Longitudinal Inverse Classification, is accepted to the 3rd AIBH Workshop at BIBM 2020.
My PhD student, Amin Abassi-Pooya, passed his qualifying exam. Congratulations, Amin!
Chaired a session, Mining and Learning on Graphs, at the 2020 INFORMS Annual Meeting.
Presented our work, Team2vec: Inductive Representation Learning Of Teams From Graphs, at the 2020 INFORMS Annual Meeting.
Partnered with Examinetics, Inc. on a series of projects involving workforce planning and scheduling.
Received a New Faculty General Research Fund Award from the University of Kansas. Thanks to KU!
Our paper, 21 Million Opportunities: A 19 Facility Investigation of Factors Affecting Hand Hygiene Compliance via Linear Predictive Models, was officially published at JHIR.
I've written and published a pure Python implementation of our inverse classification method; the code can be found here.