Roman Chertovskih, from ARISE-LA/SYSTEC, has obtained approval for a project of Bilateral Cooperation Portugal-France 2023.

Proposal of the SYSTEC researchers entitled “Sound reconstruction and speech recognition based on a bio-inspired geometric model” (Principal Investigator: Dr. Roman Chertovskih) has been approved in the framework of the Bilateral Cooperation Portugal-France 2023: joint competition under the PESSOA Program” [1]. Collaboration with the French team, coordinated by Prof. Ugo Boscain (Sorbonne Université, Paris), started more than 10 years ago, and provided fruitful results in the field of corrupted image [2,3] and vector field [4] reconstruction by hypoelliptic diffusion. In the present project, it is planned to extend the previous  results on geometry of vision to the field of sound reconstruction, using the functional architecture of the auditory cortex. The grant provides financial support for scientific visits for both research teams, enabling the Portuguese and French scientists to intensify their joint work.

ARISE-LA Workshop 2024

Registration (mandatory) – Deadline: April 12

Teaching Factories Competition 2023: DEEP TECH – Universities & VET

EIT Manufacturing is actively seeking talented Solver Teams (students) from Universities and VETs (vocational education and training) to address seven selected challenges related to DeepTech from industrial companies. Teaching Factories serve as dynamic co-creation spaces where real-world manufacturing challenges intersect with the innovative thinking of students, professors, and industry practitioners.
This platform encourages universities/VETs to submit their applications to develop cutting-edge solutions around Deep Tech. The competition provides a unique platform for students to showcase their skills and innovations in manufacturing.
What you will receive:

  • Long-term cooperation opportunities with industrial companies
  • Intensive innovation and entrepreneurship coaching and learning courses
  • International working experience
  • Financial prizes

Join an informative webinar on December 19th at 13:00 CET. Registration is available here.
Do you have a question? Feel free to get in touch with our team via email at tfcompetition@eitmanufacturing.eu . For more information, please visit

Master’s thesis under ARISE is awarded 1st place in the REN 2023 Prize

Nuno Alexandre Gonçalves Mendes, currently PhD student at the University of Coimbra, supervised by Pedro Moura, from the Institute of Systems and Robotics (ISR-UC), and Jérôme Mendes, from CEMMPRE (both members of the Associated Laboratory ARISE), won 1st place in the REN 2023 Prize. Nuno Mendes’ dissertation, titled “Federated Learning for the Prediction of Net Energy Demand in Communities of Buildings”. REN Prize, created in 1995, is awarded yearly to the best master’s thesis in energy developed at Portuguese universities. The award ceremony took place in Lisbon at the Salão Nobre of the Ritz Hotel on November 13.

Future energy communities allow for the local optimization of resources, namely through energy trading between buildings, but for this, it is crucial to have forecasts of energy consumption and generation in buildings. Conventionally, these forecasts use historical data on net energy consumption in buildings, but they can be improved by also including private building information. Building automation systems allows for the collection of large amounts of data that forecasting systems can use, but this data is mostly classified as private. In this context, Federated Learning (FL) has been used in several areas with the main objective of protecting users’ private data.

This dissertation proposes a new approach for predicting net energy in energy communities based on a FL system. The structure implemented includes the integration of third-party entities as data providers and two forecasting systems (one for consumption and one for generation), both managed by the same server, which ensure the forecasting of net electricity consumption, independently, in each of the buildings belonging to the energy community. The results obtained show that the forecasting systems have achieved a high level of accuracy. Above all, they enable a high level of adaptability, for example, to seasonal variations, the entry and exit of buildings from the community or even new communities made up of other buildings.

Sim2Adapt: Open Call

Positions available on Sim2Adapt: Multiscale approaches to improve the application of self-adaptive coatings in low friction mechanical systems (PhD Students)

University of Coimbra opened two PhD student positions (duration of the contract planned for 3 years).

The positions will focus on combining numerical and experimental multi-scale approaches to model the contact conditions, to improve knowledge concerning self-adaptive coatings and, consequently, support their controlled application for a wide range of sliding contact conditions. The fellowships will be involved in the execution of the following tasks:

  1. Feature extraction and metamodeling of TMD-base systems;
  2. Wear track mapping, including the study of the selected coating against softer and
  3. Development of contact mechanics multiscale models for self-adaptive coatings.

The research work will be carried out at CEMMPRE and LED&Mat (IPN).

Necessary qualifications: Master’s degree in Mechanical Engineering, Informatics Engineering, Data Science and Engineering, Industrial and Management Engineering, Civil Engineering or Materials Engineering, and enrolled in a Ph.D. course or enrolled in a course not conferring an academic degree, with interest in numerical modelling.

Deadline: 30 October 2023

More information is available here.

SYSTEC & ARISE Researchers Proposal Approved for FCT Funding

Proposal by the SYSTEC researchers entitled “Speech recognition for the sound reconstructed using a bio-inspired geometric model” has been approved by the Fundação para a Ciência e a Tecnologia in the framework of the Call on Advanced Computing Projects: Artificial Intelligence in Cloud (2nd edition), more info here. Credits on the Google Cloud Platform equivalent to USD 74.100 have been granted. The call was intended to support research projects in Natural Language Processing, Ethics in artificial intelligence and other scientific areas where the Google Cloud Platform facilities in artificial intelligence and data analysis algorithms are useful. The granted computational resources will be used at the SYSTEC to solve computationally demanding problems involving machine learning methods in the framework of an international collaboration with French Universities. The computational project will be executed under coordination by the Principal Investigator, Dr. Roman Chertovskih and Co-Principal Investigator, Dr. Rui Jorge Pereira Gonçalves.

CEMMPRE Researcher receives Scientific Merit Medal at “Ciência 2023”

Teresa Vieira, Researcher at CEMMPRE – Centre for Mechanical Engineering, Materials and Processes and Associated Laboratory ARISE – Advanced Production and Intelligent Systems, was awarded the Medal of Scientific Merit by the Ministry of Science, Technology and Higher Education, during the initiative “Ciência 2023 – Portuguese Science Summit”, on 5 July 2023.

This distinction is intended to reward national or foreign individuals who, due to their high professional qualities and fulfilment of duty, have distinguished themselves for their valuable and exceptional contribution to the development of science or scientific culture in Portugal.