News

May, 2025: I have officially graduated with my Ph.D. in Industrial & Systems Engineering from Lehigh University!

May, 2025: A new paper is available: T. Giovannelli, G. D. Kent, and L. N. Vicente, A Stochastic Gradient Method for Trilevel Optimization, pre-print under review. PDF

May, 2025: A new publication: T. Giovannelli, G. D. Kent, and L. N. Vicente, Inexact Bilevel Stochastic Gradient Methods for Constrained and Unconstrained Lower-Level Problems, to appear in Journal of Global Optimization. PDF

April, 2025: I have successfully defended my Ph.D. dissertation, titled Stochastic Methods for Multi-Level and Multi-Objective Optimization, Lehigh University. PDF and Slides

March, 2025: I have created a new GitHub Repository to maintain some of the major deep learning projects that I have worked on. I will try to keep this maintained with new projects that I work on in the future. Link

December, 2024: I have successfully finished teaching the course ISE - 364 / 464, titled Introduction to Machine Learning and Lehigh University. What an incredible experience! I have created a new GitHub Repository that holds all of the material related to the course that I created (including all lecture slides, homework assignments, projects, and finals). Hopefully it will serve as a good introduction to the topics of machine learning. Link

August, 2024: I have finished my summer internship with SAS. What an incredible experience!

May, 2024: I have started a summer internship at SAS in the IoT (Internet of Things) Analytics R&D Division!

February, 2024: A new publication: T. Giovannelli, G. D. Kent, and L. N. Vicente, Bilevel Optimization with a Multi-Objective Lower-Level Problem: Risk-Neutral and Risk-Averse Formulations, to appear in Optimization Methods and Software. PDF

May, 2023: I am officially a Ph.D. candidate after successfully delivering my thesis proposal and passing the general examination!

February, 2023: A new paper is available: T. Giovannelli, G. D. Kent, and L. N. Vicente, Bilevel Optimization with a Multi-Objective Lower-Level Problem: Risk-Neutral and Risk-Averse Formulations, pre-print under review. PDF

June, 2022: I have successfully passed the qualifying examination for my Ph.D.!

December, 2021: I have officially graduated with an M.S. in Management Science & Engineering from Lehigh University!

December, 2021: I have successfully finished my Master's thesis, titled On the Steepest Descent Method for Bilevel Optimization. PDF

October, 2021: A new paper is available: T. Giovannelli, G. D. Kent, and L. N. Vicente, Inexact Bilevel Stochastic Gradient Methods for Constrained and Unconstrained Lower-Level Problems, pre-print under review. PDF

August, 2021: I have started working toward a Ph.D. in Industrial & Systems Engineering at Lehigh University.

June 2021: A new publication: M. A. Abramson, G. D. Kent, G. W. Smith, Penetration Depth Between Two Convex Polyhedra: An Efficient Stochastic Global Optimization Approach, to appear in IEEE Transactions on Visualization and Computer Graphics. PDF

May 2020: I have started working toward an M.S. in Management Science & Engineering at Lehigh University.

May, 2020: I have officially graduated with a B.S. in Statistics with a Minor in Computer Science from Utah Valley University!