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Below, you’ll find our publications sorted by publication type and year. For questions on any specific publication, feel free to message our lab, and a lab member will respond as soon as possible.
Below, you’ll find our publications sorted by publication type and year. For questions on any specific publication, feel free to message our lab, and a lab member will respond as soon as possible.
Papers
Papers
2023
2023
Almasi, Mohammdsina, Hadis Anahideh, and Jay Rosenberger. "Exploring Nonlinear Kernels for Lipschitz Constant Estimation in Lower Bound Construction for Global Optimization." Available at Optimization-Online, 2023. Paper Link
Nezami, Nazanin, and Hadis Anahideh. "Hyperparameter Adaptive Search for Surrogate Optimization: A Self-Adjusting Approach." In 2023 Winter Simulation Conference (WSC), IEEE, 2023.
Di Carlo, Francesco, Nazanin Nezami, Hadis Anahideh, and Abolfazl Asudeh. "FairPilot: An Explorative System for Hyperparameter Tuning through the Lens of Fairness." arXiv preprint arXiv:2304.04679, 2023. Paper Link
Nezami, Nazanin, and Hadis Anahideh. "Dynamic Exploration-Exploitation Pareto Approach for High-Dimensional Expensive Black-Box Optimization." Available at SSRN 4382756, 2023. Paper Link
2022
2022
Nezami, Nazanin, and Hadis Anahideh. “An Empirical Review of Model-Based Adaptive Sampling for Global Optimization of Expensive Black-Box Functions.” In 2022 Winter Simulation Conference (WSC), pp. 3182-3193. IEEE, 2022. Paper Link
Anahideh, Hadis, Lulu Kang, and Nazanin Nezami. “Fair and diverse allocation of scarce resources.” Socio-Economic Planning Sciences 80, 2022: 101193. Paper Link
2021
2021
Anahideh, Hadis, Nazanin Nezami, and Abolfazl Asudeh. “Finding Representative Group Fairness Metrics Using Correlation Estimations.” arXiv preprint arXiv:2109.05697, 2021. Paper Link
Anahideh, Hadis, Nazanin Nezami, Parian Haghighat, and Denisa Gandara. “Auditing fairness and imputation impact in predictive analytics for higher education.” arXiv e-prints, 2021: arXiv-2109. Paper Link
2020
2020
Hadis Anahideh, Abolfazl Asudeh. Fair Active Learning. (under review), 2020. Paper Link
Hadis Anahideh, Gazi MD Daud Iqbal, Jay M. Rosenberger, Jaime Cantu, Marc Barron, Hannah Zwick, Luke Sphinos. On-Line Attendance Intervention to Improve Student Learning Outcomes. IISE Conference, 2020.
2019
2019
Hadis Anahideh, Jay M. Rosenberger, Victoria C. P. Chen. High-dimensional Black-box Optimization Under Uncertainty. (under review), 2019. Paper Link
2017
2017
Nadia Martinez, Hadis Anahideh, Jay M. Rosenberger, Diana Martinez, Victoria CP Chen, and Bo Ping Wang. Global optimization of non-convex piecewise linear regression splines. Journal of Global Optimization, 68, no. 3, 563-586, 2017. Paper Link
Ziaur Rahman, Arezoo Memarian, Sunil Madanu, Hadis Anahideh, Gazi Iqbal, Stephen P. Mattingly, Jay M. Rosenberger. Assessment of the Impact of Lane Width on Arterial Crashes. Journal of Transportation Safety &Security, pp 1-22, 2017. Paper Link
Presentations
Presentations
2023
2023
Hadis Anahideh, Nazanin Nezami, Parian Haghighat, Denisa Gandara “Unpacking the Impact of Imputation on Fairness”. Poster Session, Midwest Machine Learning Symposium, Chicago, Illinois, 2023.
Francesco Di Carlo, Nazanin Nezami, Hadis Anahideh, Abolfazl Asudeh “Fairplot: Explorative System for Fair Model Selection”. Poster Session, Midwest Machine Learning Symposium, Chicago, Illinois, 2023.
2019
2019
Hadis Anahideh. Jay M. Rosenberger, Victoria C. P. Chen. “High-dimensional Black-box Optimization Under Uncertainty”. Invited talk, Illinois Institute of Technology (IIT), 2019.
2017
2017
Hadis Anahideh, Jay M. Rosenberger, Victoria C. P. Chen. “TK-MARS: An Efficient Approach for A New Class of Black-Box Optimization Test Functions.” INFORMS. Houston, TX. Oct 2017.
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