Research

  • For an updated list, check my Google Scholar.

    The following is a list of working papers.

    • Brenda Nogueira, Gabe Gomes, Meng Jiang, Nitesh V Chawla, Nuno Moniz. Spectral Manifold Harmonization for Graph Imbalanced Regression [in preparation]. Accepted in workshops at KDD’25 (Machine Learning on Graphs in the Era of Generative Artificial Intelligence) and ICML’25 (DIG-BUGS: Data in Generative Models (The Bad, the Ugly, and the Greats)

    • Qinghua Zhao, Nuno Moniz, Egbert H. van Nes, Marten Scheffer, Alexis Korotasz, Carly Barbera, Jason R. Rohr. Critical slowing down foreshadows infectious disease outbreaks. Nature (Nature). 2025 [under review]

    • Anna Sokol, Nuno Moniz, Elizabeth Daly, Michael Hind, Nitesh Chawla. BenchmarkCards: Standardized Documentation for Large Language Model Benchmarks. NeurIPS 2025: The Thirty-Ninth Annual Conference on Neural Information Processing Systems. 2025 [under review, arXiv]

    • Brenda Nogueira, Nuno Moniz, Connor W. Coley, Nitesh Chawla. Rethinking Evaluation in Compound Potency Prediction. Journal of Chemical Information and Modeling (ACS). 2025 [under review]

    • Joe Germino, Benjamin Brinkmann, Nitesh V. Chawla, Jie Cui, Emma Fortune-Ngufor, Nuno Moniz, and Louis Faust. Mixture of Checkpoint Experts for Explainable Seizure Detection Using Wearable Devices. Scientific Reports (Nature). 2025 [major revisions]

    • Joe Germino, Nuno Moniz, Nitesh Chawla. Intersectional Divergence: Measuring Fairness in Regression. AIES 2025: 8th AAAI/ACM Conference on AI, Ethics, and Society. 2025 [under review, arXiv]

    • Anna Sokol, Valentina Petrovic, Atalia Omer, Miguel Cardina, Peter Cajka, Silvana Mandolessi, Tomislav Anic, Ivana Brstilo Lovric, Jasna Curkovic Nimac, Nitesh Chawla, Nuno Moniz. A Multilingual Analysis of Historical Narratives Generated by Large Language Models. 2025 [prepared]

    • Yujun Zhou, Jingdong Yang, Kehan Guo, Pin-Yu Chen, Tian Gao, Werner Geyer, Nuno Moniz, Nitesh V Chawla, Xiangliang Zhang. LabSafety Bench: Benchmarking LLMs on Safety Issues in Scientific Labs. Nature Machine Intelligence (Nature). 2025 [submitted, arXiv]

    • Tânia Carvalho, Nuno Moniz and Luís Antunes. Automated Privacy-Preserving Techniques via Meta-Learning. Information Fusion (Elsevier). 2024 [major revision, arXiv]

    • National Science Foundation

      • Graph Imbalanced Regression (2024). PI, $600k (submitted)

    • Notre Dame-IBM Tech Ethics Lab

      • Governance and Risk Assessment of Large Language Models (2024) with Michael Hind and Elizabeth Daly (IBM Research}. PI, $76k

      • Explainability and Interpretability in Large Language Models (2024) with  Keerthiram Murugesan (IBM Research). Co-PI, $76k

      • Energy-Efficient Large Language Models (2024) with Payel Das and Youssef Mroueh (IBM Research). PI, $76k

      • Mitigating Ethical Risks in Large Language Models through Localized Unlearning (2024) with Josep Domingo-Ferrer (Universitat Rovira i Virgili, Tarragona, Catalonia). ND PI, $60k

      • How LLMs Modulate our Collective Memory and its Ethical Implications (2024) with Jasna Curkovic Nimac (Catholic University of Croatia, Zagreb, Croatia). ND PI, $60k

      • Ethical LLM-based Approach to Improve Early Childhood Development in Children with Cancer in LMICs (2024) with Horacio Márquez-González (Hospital Infantil de México Federico Gómez). ND Co-PI, $60k

    • University of Notre Dame

      • 20W Experiment: Machine Ability vs Human Intelligence (2023) with Don Brower (University of Notre Dame). PI, $10k

      • AI for Humanity: Overcoming the Evaluation and Monitoring Gap (2023) with Nitesh Chawla (University of Notre Dame). Co-PI, $15k

      • TALE: Trustworthy AI Lab for Education (2023) with Alison Cheng (University of Notre Dame). Co-I, $15k

    • European Space Agency

      • PORT XXI: Space Enabled Sustainable Port Services (2020-2021). WP Leader, €200k

    • European Structural and Investment Funds

      • CONTINENTAL: Factory of the Future (2022-2024). Co-I, €10.25M

      • AIDA: Adaptive, Intelligent, and Distributed Assurance Platform (2020-2022). Co-I, €1.2M

    • Industry R&D Services and Consulting

      • RUTE: Randtech Update and Test Environment (2018-2020). Co-PI, €50k

      • UbiRider: Underground Railways Activities Recognition Using Smartphone Data (2018-2019). Co-PI, €50k

    • Portuguese Foundation for Science and Technology

      • LUCCA: AI-based Models for Lung Cancer Characterization (2023) with Tânia Pereira (Universidade de Coimbra). WP Leader, €50k