Students

Ph.D. Student Advisees

University of Cincinnati

Undergraduate Student Advisees

University of Cincinnati

Prospective Ph.D. Students

Update: The positions have been filled, and all applicants should have received an email from me. Thank you to all who applied!

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Posting Information:

Position:                                    Ph.D. Student

Location:                               Department of Mechanical and Materials Engineering

                                                           College of Engineering and Applied Science, University of Cincinnati  

                                                         2901 Woodside Drive, Cincinnati, OH 45219

Posting Date:                         June 17, 2024

Application Deadline:     Open until filled

Ideal Starting Date:        Spring 2025

Description: 

I have two funded Ph.D. student positions under my supervision in the Department of Mechanical and Materials Engineering (MME) within the Industrial and Systems Engineering (ISE) Program at the University of Cincinnati (UC).

The general area of research involves mathematical optimization and machine learning, with applications in healthcare. If you are a motivated and enthusiastic student passionate about operations research, data science, and industrial and systems engineering, and if you meet the qualifications listed below, I encourage you to apply. 

The MME Department currently offers a Ph.D. degree in Mechanical Engineering (https://ceas.uc.edu/academics/departments/mechanical-materials-engineering/degrees-programs/mechanical-engineering-phd.html). A Ph.D. degree in ISE is expected to be launched later this year. While a Master’s degree is not required for admission to the UC Mechanical Engineering Ph.D. Program, an ideal candidate will hold a Master’s degree in Industrial Engineering, Operations Research, Applied Mathematics, or a related field, with prior research experience in these areas.

Qualifications:

• Background in mathematical optimization and machine learning, with strong mathematical skills. 

• Proficiency in programming for scientific applications, particularly in Python, and experience using optimization solvers such as Gurobi and CPLEX.

• Proficiency in English writing and communication.

Application Procedure:

To apply, please send your CV, transcripts, and one sample publication (if available) to tommaso.giovannelli@gmail.com. Please include a brief paragraph about how your previous experiences align with my research interests.

About the University of Cincinnati:

The University of Cincinnati (UC) is a top-tier public research university in Ohio. Located in the vibrant city of Cincinnati, UC offers a rich cultural and professional environment. The region is home to numerous Fortune 500 companies, including Procter & Gamble, Kroger, and Fifth Third Bank, providing ample opportunities for industry partnerships, internships, and employment post-graduation.

Feel free to reach out to me for further information or any inquiries about these positions.

Mentorship Experience

Lehigh University

Ph.D. Students

• Griffin Kent (2021-2024)

Research: Bilevel stochastic gradient for optimization and machine learning

Advisor: Luis Nunes Vicente

• Oumaima Sohab (2021-2024)

Research: Scalable and robust algorithms for derivative-free optimization and machine learning

Advisor: Luis Nunes Vicente

• Suyun Liu (Spring 2020)

Research: Green-oriented integrated transportation system for smart cities

Advisor: Luis Nunes Vicente

Master's Students

• Griffin Kent (Spring 2021)

Research: Bilevel stochastic gradient for optimization and machine learning

Advisor: Luis Nunes Vicente

Undergraduate Students

• Thaksheel Alleck, Roman Mitchell, Ori Remen, Claire Samson (2023-2024)

Research: Sports Popularity and Randomness in Soccer

Award: Van Hoesen Family Best Publication Award, awarded to Thaksheel Alleck

Advisor: Luis Nunes Vicente

• Giavanna Tabbachino (2020-2021)

Research: Green-oriented integrated transportation system for smart cities

Advisor: Luis Nunes Vicente

• Danmeng Xue (Summer 2020)

Research: Green-oriented integrated transportation system for smart cities

Advisor: Luis Nunes Vicente

SAPIENZA University of Rome

Master's Students

• Manuel Infantino (Spring 2021)

Research: A simulation optimization approach for designing an emergency plan in an emergency department

Advisor: Massimo Roma

• Giovanni Costabile (Spring 2020)

Research: Managing patient flows in a surgical ward through discrete event simulation

Advisor: Massimo Roma

• Federica Altobelli (Spring 2020)

Research: A discrete event simulation model to manage patient flows in surgical wards

Advisor: Massimo Roma

• Simone Amoroso (Fall 2019)

Research: A black-box optimization problem to determine the patient arrival process to an emergency department

Advisor: Stefano Lucidi

• Andrea Ginocchi (Fall 2019)

Research: A discrete event simulation model for an emergency department

Advisor: Massimo Roma

• Alice Di Mario (Fall 2019)

Research: Analyzing the patient flow in an emergency department through discrete event simulation

Advisor: Massimo Roma

• Valeria Gallo (Fall 2019)

Research: A discrete event simulation model for an outpatient clinic

Advisor: Massimo Roma

• Michela Lo Conte (Fall 2019)

Research: A discrete event simulation model to represent the patient flow in an outpatient clinic

Advisor: Massimo Roma

• Francesca Mannacio Soderini (Spring 2019)

Research: Use of simulation-based optimization in healthcare management: Analysis of different probability distributions to estimate the service time duration

Advisor: Stefano Lucidi

• Luca Petrone (Spring 2019)

Research: Use of simulation-based optimization in healthcare management: Analysis of different probability distributions to estimate the service time duration

Advisor: Stefano Lucidi

• Doriana Zanna (Spring 2019)

Research: A simulation optimization approach applied to a discrete event simulation model to analyze the patient flow in an emergency department

Advisor: Massimo Roma

• Chiara Trivisonno (Spring 2019)

Research: A discrete event simulation model to analyze the patient flows in an emergency department

Advisor: Massimo Roma

• Francesca Di Leo (Spring 2019)

Research: Simulation of clinical pathways in an emergency department

Advisor: Massimo Roma

• Francesca Turco (Spring 2018)

Research: Optimization of patient flows in outpatient clinics

Advisor: Alberto Nastasi

• Valentina Pisano (Spring 2018)

Research: Improving the emergency department discharge process: A simulation model to reduce the overcrowding in the emergency department of Policlinico Umberto I, Rome

Advisor: Alberto Nastasi

• Francesca Miozzi (Spring 2018)

Thesis: Addressing the complexities of emergency department management: Analysis of the cost and waiting time in the emergency department of Policlinico Umberto I in Rome

Advisor: Alberto Nastasi