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Faculty
Gianluca Guadagni
Associate Professor of Data Science
School of Data Science
Email: gg5d@virginia.edu
Phone: (434) 924-4912
Gianluca Guadagni joined the School of Data Science as an Associate Professor in 2022. He taught at the University of Rome Tor Vergata and was a visiting assistant professor at the College of William and Mary before joining the Applied Mathematics Program at the University of Virginia's School of Engineering and Applied Science.
Guadagni has introduced active learning methodologies in applied math courses, and has developed a teaching method course for undergraduate teaching assistants in collaboration with the Center for Teaching Excellence. His research is in statistical mechanics, renormalization group, Stochastic processes, and mathematical modeling. He is interested in understanding complex systems and their many dimensions and components. Recent research works are on derivative-free training of neural networks and on the Stochastic Wave Equation with non-linearity.
Education
- Ph.D., Mathematics, University of Virginia
- B.S., Physics, University of Rome ”La Sapienza”
Data Science Domains
Analytics, Value
Areas of Practice
Ethics/Bias, Education, Machine Learning And Data Mining
Methodologies
Stochastic And Mathematical Modeling
Selected Publications
Guadagni, G., Thomas, L. (2022). Perturbation theory for a non-equilibrium stationary state of a one- dimensional stochastic wave equation. arXiv, 2204.07564
Ma, H., Guadagni, G., Wheeler, L. (2020). Teaching Methods Course for Engineering TAs. Virginia Tech, Conference on Higher Education Pedagogy
Aly, A., Guadagni, G., Dugan, J. (2019). Derivative-free optimization of neural networks using local search. IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference
Aly, A., Guadagni, G., Dugan, J. (2019). Examining hyperparameters of deep neural networks trained with local search. IEEE, International Conference on Intelligent Computing and Information Systems
Guadagni, G., Fulgham, B., Pisano, S., Ma, H., Morris, D., Abramenko, M., Spencer, J. (2018). New tracks for a calculus curriculum in engineering. American Mathematical Society, Joint Mathematics Meetings
Guadagni, G., Ma, H., and Wheeler, L. (2018). The benefit of training undergraduate teaching assistants. American Society for Engineering Education, Annual Conference & Exposition
Lancia, C., Guadagni, G., Ndreca, S., Scoppola, B. (2018). Asymptotics for the late arrivals problem. Mathematical Methods of Operations Research, 88, 475–493
Abdesselam, A., Chandra, A., Guadagni, G. (2011). A massless quantum field theory over the p-adics. arXiv, 1104.2937
Guadagni, G., Ndreca, S., Scoppola, B. (2011). Queueing system with pre-scheduled random arrivals. Mathematical Methods of Operations Research, 73, 1–18