Faculdade

October 2

Nova Math Industry Day 2024

NOVA Math has a well-established history of successful collaborations with the industry. Several members have engaged in projects aimed at solving complex real-world problems and have conducted courses designed to meet companies' needs for expertise and training in innovative fields. The primary objective of this event is to present the work undertaken by members of NOVA Math in collaboration with the industry or with significant potential for industrial application, reinforcing NOVA Math's commitment to fostering collaborative efforts with other research centers and enterprises in the pursuit of innovative projects aligned with industry needs.

The event will have five invited speakers and a poster session. A slot of 25 minutes will be allocated to each speaker. The poster session will be held during the coffee break time.

Date: October 2, 2024, at 2:30 p.m.

Venue: NOVA School of Science and Technology, Room 1A, Building VII

2:30 p.m. - 5:35 p.m.

There is no registration fee, but registration is mandatory

REGISTER

Program

2:30 p.m. | 2:40 p.m.
Opening
2:45 p.m. | 3.10 p.m.
Gonçalo dos Reis
Modelling battery health lifetime with machine learning tools (and notes on interacting with industry)
 University of Edinburgh, School of Mathematics and NOVA Math
3:10 p.m. | 3:35 p.m.
Marta Lopes
Statistical and machine learning approaches for assisted decision-making in industry: applications in biopharmaceuticals and aquaculture
 NOVA Math and UNIDEMI
3:35 p.m. | 4:00 p.m.
Paula Amaral
From the mail delivery to fuel distribution: Routing optimization
 NOVA FCT, Mathematics Department and NOVA Math
4:00 p.m. | 4:45 p.m.
Coffee Break + Poster Session
4:45 p.m. | 5:10 p.m.
Filipa Valdeira
A recommender system for specialist doctor referral
 NOVA Math and NOVA LINCS
5:10 p.m. | 5:35 p.m.
Lourdes Afonso
Ruin probabilities for open portfolios in motor insurance with a Bonus-malus System
 NOVA FCT, Mathematics Department and NOVA Math

 

Program download

 

This work is funded by national funds through the FCT – Fundação para a Ciência e a Tecnologia, I.P., under the scope of the projects UIDB/00297/2020 (https://doi.org/10.54499/UIDB/00297/2020) and UIDP/00297/2020 (https://doi.org/10.54499/UIDP/00297/2020) (Center for Mathematics and Applications).