March 2022: A new paper titled “Wake Effect Parameter Calibration with Large-Scale Field Operational Data using Stochastic Optimization” submitted.

February 2022: Ha’s new submitted paper: “Latency considerations for stochastic optimizers in variational quantum algorithms” with M. Menickelly and M. Otten.

He joins Argonne National Lab in June 2022 for a second internship to work on Quantum Computing and Monte Carlo.

January 2022: Proposal titled “Impact of Future Climate Events on NC Animal Agriculture Systems” was selected for funding under the Research and Innovation Seed Funding (RISF) Program at NC State.

May 2021: Vahdat to join the Liberty Mutual Insurance and Ha to join the Argonne National Lab for Summer 2021 internship.

February 2021: Shashaani awarded the NC State Faculty Research and Development Fund for a project on Quantum Computing and Monte Carlo methodology.

ref: https://www.ibm.com/blogs/research/2019/03/quantum-risk-analysis/

Dec 2020: Paper titled “Personalized Predictions for Unplanned Urinary Tract Infection Hospitalizations with Hierarchical Clustering” by Mao, Vahdat, Shashaani, and Swann was a finalist in 2020 INFORMS CONFERENCE ON SERVICE SCIENCE Best Student Paper Competition.

Oct 2020: Vahdat invited for the final round of poster competition in INFORMS Annual Meeting.