Publications

• Nezami, Nazanin, and Hadis Anahideh. "Building trust in black-box optimization: a comprehensive framework for explainability." arXiv preprint arXiv:2410.14573 (2024). Paper Link

• Carbonati, Andrea, Mohammadsina Almasi, and Hadis Anahideh. "Multi-Agent LLMs for Adaptive Acquisition in Bayesian Optimization." arXiv preprint arXiv:2603.28959 (2026). Paper Link

• Almasi, Mohammadsina, and Hadis Anahideh. "Bi-Level Contextual Bandits for Individualized Resource Allocation under Delayed Feedback." Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 40. No. 45. 2026. Paper Link

• Haghighat, Parian, Hadis Anahideh, and Cynthia Rudin. "Resolving Predictive Multiplicity for the Rashomon Set." arXiv preprint arXiv:2601.09071 (2026). Paper Link

• Almasi, Mohammadsina, et al. "Adaptive Pareto Exploration (APEX) for Fairness-Aware Hyperparameter Optimization in FairPilot." Information and Software Technology 189.C (2026). Paper Link

• Almasi, Mohammadsina, et al. "Adaptive Pareto Exploration (APEX) for Fairness-Aware Hyperparameter Optimization in FairPilot." Information and Software Technology 189.C (2026). Paper Link

• Abraham, Abhinav, et al. "Evaluation of n-component surrogate mixtures formulated for jet fuel physicochemical property predictions." Chemometrics and Intelligent Laboratory Systems 263 (2025): 105409. Paper Link

• Nezami, Nazanin, and Hadis Anahideh. "Enhancing Batch Diversity in Surrogate Optimization: A Determinantal Point Processes Approach." ACM Transactions on Evolutionary Learning 5.3 (2025): 1-30. Paper Link

• Anahideh, Hadis, Nazanin Nezami, and Abolfazl Asudeh. "Finding representative group fairness metrics using correlation estimations." Expert Systems with Applications 262 (2025): 125652. Paper Link

• Gandara, Denisa, and Hadis Anahideh. "Towards Ethical and Transparent Predictive Analytics in Education: A Fairness-Aware Approach." Society for Research on Educational Effectiveness (2024). Paper Link

• Gándara, Denisa, et al. "Inside the black box: Detecting and mitigating algorithmic bias across racialized groups in college student-success prediction." AERA open 10 (2024): 23328584241258741. Paper Link

• Haghighat, Parian, and Hadis Anahideh. "FairMARS: Towards Transparent, Interpretable, and Fair Predictive Analytics for Social Good." 2024 IISE Annual Conference and Expo. IISE, 2024.

• Nezami, Nazanin, and Hadis Anahideh. "Dynamic Exploration–Exploitation Pareto Approach for high-dimensional expensive black-box optimization." Computers & Operations Research 166 (2024): 106619. Paper Link

• Nezami, Nazanin, and Hadis Anahideh. "Pareto Powered Sampling: A Fresh Perspective on Sampling in Single Objective Batch Bayesian Optimization." IISE Annual Conference. Proceedings. Institute of Industrial and Systems Engineers (IISE), 2024. Paper Link

• Haghighat, Parian, et al. "Fair multivariate adaptive regression splines for ensuring equity and transparency." Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 38. No. 20. 2024. Paper Link 

• Nezami, Nazanin, et al. "Assessing disparities in predictive modeling outcomes for college student success: The impact of imputation techniques on model performance and fairness." Education Sciences 14.2 (2024): 136. Paper Link

• 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

• 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

• 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

• 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. 

• Hadis Anahideh, Jay M. Rosenberger, Victoria C. P. Chen. High-dimensional Black-box Optimization Under Uncertainty. (under review), 2019. Paper Link

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

• 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. 

• Hadis Anahideh. Jay M. Rosenberger, Victoria C. P. Chen. “High-dimensional Black-box Optimization Under Uncertainty”. Invited talk, Illinois Institute of Technology (IIT), 2019. 

• 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.