Luca Mencarelli, PhD.

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Research Fellow at
Dipartimento di Informatica
Università di Pisa
Largo Bruno Pontecorvo, 3
56127 Pisa (Italy)

E-mail: luca.mencarelli [@] unipi [DOT] it

Education

I received B.S. and M.Sc. degrees in Industrial Engineering and Management Science from La Sapienza, University of Rome, in 2010 and 2013, respectively.

In December 2017, I received the PhD degree in Computer Science under the supervision of Prof. Leo Liberti and Prof. Claudia D’Ambrosio at LIX, Laboratoire d’Informatique de l’École Polytechnique, Paris (Thesis: The Multiplicative Weights Update Algorithm for Mixed Integer NonLinear Programming: Theory, Applications, and Limitations).

Professional Experiences

I have been Postdoctoral fellow at IFP Energies nouvelles (topic: Process synthesis and optimization: development and evaluation of approaches coupling simulation and optimization techniques) under the supervision of Alexandre Pagot.

Moreover, I have been Postdoctoral fellow at CERMICS, École des Ponts (topic: Matrix factorization for Time Series) under the supervision of Prof. Yohann De Castro.

Finally, I have been Postdoctoral fellow at UMA, ENSTA Paris (topic: QP/NLP-based Branch-and-Bound Framework) under the supervision of Prof. Sourour Elloumi.

Teaching Experiences

Discrete Optimization, ENSTA Paris, Palaiseau (France) for the academic year 2022-2023

Operations Research, University of Pisa, Pisa (Italy) for the academic year 2023-2024

Research

My research interests include:

  • Mixed Integer Nonlinear Programming

  • Portfolio Selection Applications

  • Chemical Superstructure Optimization

  • Nonnegative Matrix Factorization

Recent Publications

  1. L. Mencarelli, J. Floquet, F. Georges. Matheuristics approaches for the satellite constellation design problem. Optimization and Engineering, pp. 1-17, 2023.

  2. L. Mencarelli, J. Floquet, F. Georges, D. Grenier. Mixed Integer (Non)Linear Approaches for the Satellite Constellation Design Problem. Optimization and Engineering, pp. 1-22, 2022.

  3. P. Duchêne, L. Mencarelli, and A. Pagot. Optimization Approaches to the Integrated System of Catalytic Reforming and Isomerization Processes in Petroleum Refinery. Computers & Chemical Engineering, 141, 2020.

  4. L. Mencarelli, Q. Chen, A. Pagot, and I.E. Grossmann. A Review on Superstructure Optimization Approaches in Process System Engineering. Computers & Chemical Engineering, 136, 2020.

  5. L. Mencarelli, A. Pagot, and P. Duchêne. Surrogate-based Modeling Techniques with Application to Catalytic Reforming and Isomerization Processes. Computers & Chemical Engineering, 135, 2020.

  6. L. Mencarelli, and C. D’Ambrosio. Complex Portfolio Selection via Convex Mixed-Integer Quadratic Programming: A Survey. International Transactions in Operational Research, 26(2), pp. 389-414, 2019.

  7. L. Mencarelli. The Multiplicative Weights Update Algorithm for Mixed Integer NonLinear Programming: Theory, Applications, and Limitations. A Quarterly Journal of Operations Research, 16(3), pp. 341-342, 2018.

  8. C. D’Ambrosio, S. Martello, and L. Mencarelli. Relaxations and Heuristics for the General Multiple Non-linear Knapsack Problem. Computer & Operations Research, 93, pp. 79-89, 2018.

  9. L. Mencarelli, Y. Sahraoui, and L. Liberti. A Multiplicative Weights Update Algorithm for MINLP. EURO Journal of Computational Optimization, 5 (1-2), pp. 31-86, 2017.

Full list of publications.
My curriculum vitae.