About
I am a physicist passionate about exploring the intersection of science and technology through machine learning. Beyond my work, I like to perform volunteer activities, stay with friends, and keep an eye open around me.
As I look around the world, I am aware of the many challenges we face. Rather than simply complain, I try to take action in whatever way I can. While I do not have all the answers, I believe that each of us can make a difference by doing our small part. Although I know I cannot change the world single-handedly, I strive to do my best, and I hope my efforts will inspire others to do the same. Together, we can work towards a better future.
PhD student at PoliTO.
I'm currently a PhD student at the Department of Control and Computer Engineering at Politecnico di Torino. My research interest relates to theory-based machine learning strategies, i.e. the integration of data-agnostic prior knowledge to deep learning models to enhance their predictions.
- Degree: PhD student
- University: Politecnico di Torino
- Email: simone.monaco@polito.it
Interests
Environmental care Volunteering Cooking Movies Basketball Travels
News
2024
Visiting Research at Cambridge University
From April to September 2024 I will be a visiting researcher at the University of Cambridge, UK. I will work on Neural Stochastic Differential Equations in graph domains. I'm sure it will be a great experience!
2023
1st european KGML workshop
On September 22 2023 I will be among the organizers of the workshop "Knowledge-Guided Machine learning" at the 2023 ECML/PKDD Conference! All the details on the workshow website kgml2023.github.io.
2023
Participation at EVALITA
Our solution for EVALITA 2023 GeoLingIt challenge was accepted! We will present our work at the EVALITA conference in Parma on 7-8 September 2023. All the details on the challenge website. sites.google.com/view/geolingit.
2022
Attendance to ADBIS 2022
I presented a paper at the 26th European Conference on Advances in Databases and Information Systems (ADBIS 2022) in Turin, Italy. The paper analyzed the effect of Knowledge-Guided strategies on the performance of machine learning models in some real use cases.
2021
Attendance to IEEE BigData 2021
I presented a paper at the IEEE International Conference on Big Data (IEEE BigData 2021). The paper related to an analysis of post-fire damage detection on satellite images.
Publications
Here there are some highlights of my research publications the full list is available here.
Resume
Education
Ph.D. program in Computer Engineering
2021 - ongoing
Politecnico di Torino, Turin, Italy
Thesis on theory-guided Data Science models.
Master degree on Physics of Complex Systems
2018 - 2020
Politecnico di Torino, Turin, Italy
International track besed in Turin, Trieste and Paris.
Bachelor's degree on Physical Engineering
2015 - 2018
Politecnico di Torino, Turin, Italy
Professional Experience
Research scholarship
2020 - 2021
Politecnico di Torino, Turin, Italy
Machine Learning and Data Science techniques for supply chains in the clinical setting.
Research scholarship
01/2020 - 07/2021
Laboratoire de Physique des Solides, Universite Paris Saclay, Orsay, France
Thermodynamic analysis of physical systems and development of neural networks to predict particle behavior.
Research scholarship
03/2018 - 06/2018
Politecnico di Torino, Turin, Italy
Development of algorithms for data elaboration for Brain Imaging and Brain Computer Interface.
Teaching
2023-2024
Data management and visualization (M.S.)
Lectures on extended SQL and data warehouse - Teacher assistant
2022-2023
Data management and visualization (M.S.)
Lectures on extended SQL and data warehouse - Teacher assistant
2021-2022
Data management and visualization (M.S.)
Lectures on extended SQL and data warehouse - Teacher assistant