Serani, A., Palma, G., Wackers, J., Quagliarella, D., Gaggero, S., & Diez, M. (2025). Extending parametric model embedding with physical information for design-space dimensionality reduction in shape optimization. Engineering with Computers, 41, 4643–4663 (open access)

Serani, A., & Diez, M. (2025). A survey on design-space dimensionality reduction methods for shape optimization. Archives of Computational Methods in Engineering, 1-28 (open access)

Lapucci, M., Liuzzi, G., Lucidi, S., & Mansueto, P. (2026). Combining gradient information and primitive directions for high-performance Bound-Constrained mixed-integer optimization. Journal of Global Optimization, 1-22 (preprint available on arxiv.org)

 Liuzzi, G., & Lucidi, S. (2026). A derivative-free approach to mixed integer constrained multiobjective nonsmooth black-box optimization. Computational Optimization and Applications, 93, 921–966 (preprint available on arxiv.org)

Lapucci, M., Liuzzi, G., Lucidi, S., Pucci, D., & Sciandrone, M. (2026). A globally convergent gradient method with momentum. Computational Optimization and Applications, 93, 795–820 (open access)

Brilli, A., Liuzzi, G., & Lucidi, S. (2025). An interior point method for nonlinear constrained derivative-free optimization. Optimization Methods and Software, 40(3), 611-649 (preprint available on arxiv.org)

Brilli, A., Kimiaei, M., Liuzzi, G., & Lucidi, S. (2024). Worst case complexity bounds for linesearch-type derivative-free algorithms. Journal of Optimization Theory and Applications, 203(1), 419-454 (open access)

Gaudioso, M., Liuzzi, G., & Lucidi, S. (2024). A clustering heuristic to improve a derivative-free algorithm for nonsmooth optimization. Optimization Letters, 18(1), 57-71 (open access)

Serani, A., Palma, G., Wackers, J., & Diez, M. (2025, June). Preliminary Design Optimization for Internal Arrangement and Hull Geometry of a Bio-Inspired Autonomous Underwater Glider through Machine Learning. In XI Conference on Computational Methods in Marine Engineering - MARINE 2025.

Serani, A., Palma, G., Diez, M., Wackers, J., Quagliarella, D., & Gaggero, S. (2025, May). Enhancing parametric model embedding with physical information for effective vehicle design. In Research Specialists' Meeting AVT-411 on Machine Learning and Artificial Intelligence for Military Vehicle Design.

Serani, A. (2026, February). How to survive the curse of dimensionality with examples for underwater gliding drones. Keynote at BIODRONES Project final workshop, Roma Tre University

Diez M. (2026, January). From Complexity to Efficiency: Cutting Through the Curse of Dimensionality in Hydrodynamic Shape Optimization. Keynote at 9th CMHL, Shanghai, China

Serani, A. (2025, December). Intelligent Design in Naval Architecture: Surrogates and Machine Learning for Smarter Optimization. Seminar at University of Genoa, DITEN

Diez, M. (2025, September). Greener Ships, Smarter Tools: Advancing Computational Frontiersin Maritime Design and Retrofit. Keynote at CM3 TRANSPORT 2025, Trieste

Serani, A. (2025, September). Smart Design for Marine Vehicles: Surrogate, Optimization, and Machine Learning in Action. Seminar at University of Michigan, Naval Architecture and Marine Engineering Department

Serani, A., Palma, G. Diez, M. (2025, February). Design-space dimensionality reduction by physics-informed parametric model embedding: application to a bioinspired underwater glider. DTE & AICOMAS 2025, Paris, France

Serani, A. (2024, April). Tackling the curse of dimensionality in hydrodynamic shape optimization. Keynote at BIODRONES Project workshop, Roma Tre University

Iemma, U., (2024, October). Biomimetic and Innovative Optimized hydrodynamic concepts of high-efficiency underwater gliding DRONES for ocean research, Keynote at Sea Drone Tech Summit 2024, Rome, Italy.

Serani, A., Palma, G., Wackers, J., & Diez, M. (2026). A Machine Learning Enabled MDO for Bio-Inspired Autonomous Underwater Gliders. arXiv preprint arXiv:2602.08508.

Brilli, A., Custódio, A. L., Liuzzi, G., & Silva, E. J. (2025). Nonlinear Derivative-free Constrained Optimization with a Penalty-Interior Point Method and Direct Search. arXiv preprint arXiv:2504.17682.

Brilli, A., Cristofari, A., Liuzzi, G., & Lucidi, S. (2024). Complexity results and active-set identification of a derivative-free method for bound-constrained problems. arXiv preprint arXiv:2402.10801.