Dec 2022: Ha unconditionally passes PhD preliminary exam and becomes a PhD candidate. Congratulations Yunsoo!
Group News
There are 61 posts filed in Group News (this is page 3 of 4).
Nov 2022: Paper “Diagnostic Tools for Evaluating and Comparing Simulation-Optimization Algorithms” co-authored by Shashaani accepted in INFORMS Journal on Computing.
Nov 2022: Paper “Diagnostic Tools for Evaluating and Comparing Simulation-Optimization Algorithms” accepted for publication in INFORMS Journal on Computing.
Oct 22: Shashaani featured in the inGear “faculty in spotlight” article
Oct 2022: New paper “Monte Carlo based Machine Learning” accepted for the proceedings of the 2022 International Conference on Operations Research.
Oct 2022: Vahdat unconditionally passes PhD preliminary exam to become a PhD candidate. Congratulations Kimia!
Group presentations at 2022 INFORMS Annual Meeting in Indianapolis:
- Vahdat – Bias quantification of input uncertainty in simulation and machine learning
- Jain – Stratified sampling impacts on robustness of simulation optimization solvers
- Ha – Proven work complexity of adaptive sampling based stochastic trust-region optimization
- Shashaani – Lessons learned for robustness and interpretability of stochastic models
- Amrutha and Taylor – Data processing and analysis for electron-beam additive manufacturing
Sep 2022: Shashaani presents “Monte Carlo and Learning” for the Junior Faculty Interest Group of INFORMS.
A link to the talk.
July 2022: Maria Davila-Colon presents her data analytics research with the group in the REU research symposium poster session.
May 2022: Ha wins the Mentored Teaching Fellowship (MTF) from College of Engineering for the Fall 22 semester to work with Shashaani as his mentor for providing teaching assistance for ISE 441.
April 2022: Accepted for publication in Journal of Optimization and Engineering – “Improved Feature Selection with Simulation Optimization” with Vahdat. Available online: View and download PDF
April 2022: Vahdat wins the Outstanding Doctoral Scholar of the Year at 2022 C.A. Anderson Awards!
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.
December 2021: Vahdat wins the Winter Simulation Conference 2021 Diversity Award.
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.
