SYSTEC @Conception X – Cohort 7

Conception X Cohort 7, the entrepreneurship accelerator programme that #FEUP has been part of since 2024, has already kicked off in London with the participation of the six projects from the Faculty of Engineering selected in this first round. 💡

Tiago Lagarteira, Joana Loureiro, Anuj Regmi, João Alves Ribeiro, Jorge Pinho, Diogo Silva and Alexandra Rodrigues Pinto, DEQ lecturer and Pro-Director for Cooperation, took part in the programme that will run until November 2024. Conception X, led by Riam Kanso, offers training sessions created specifically for #STEM PhD students, access to a network of experts and funding opportunities, as well as the chance to meet other researchers who are exploring post-doctoral career paths.

Source.

Addvolt and Knok on the podium of Portugal’s fastest-growing technology companies

The technology companies Addvolt (SYSTEC spin-off) e Knok – UPTEC graduated companies – are part of the 50 companies with an aggregate turnover of more than 550 million euros and an average growth of 400 per cent.

Addvolt and Knok are the second and third technology companies with the highest annual revenue growth over the last four years. The graduated companies from UPTEC – Science and Technology Park of the University of Porto are part of the 50 companies with an aggregate turnover of more than 550 million euros, according to the ‘Deloitte Technology Fast 50 Portugal’, a new ranking by the consultancy released at the end of this year.

Source: UPTEC

DEI TALKS | “Analyzing and Modeling Intelligent Systems Users’ Behavior in Digital Society” pelo Prof. Humberto Marques-Neto – DEI – Departamento de Engenharia Informática

On January 25th, at 2:00 PM, in room B006, the presentation “Analyzing and Modeling Intelligent Systems Users’ Behavior in Digital Society” will take place, presented by Prof. Humberto Marques-Neto, moderated by Prof. Gil Gonçalves (Integrated member of SYSTEC).

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

Research Seminar on Applied Mathematics Analysis, Numerics and Computing

November 30, 2023 @ 17h00

Title: Exact increment formulas for dynamic optimization: From classical to mean-field control problems
Location: FEUP – DEEC – room i-105
Speakers: M. Staritsyn and R. Chertovskih (SYSTEC/ARISE)

Abstract:
In the classical Calculus of Variations, there is a formula that allows one to express the difference between two values of the payoff functional (cost increment) as an integral of a certain function. This formula is known as the Weierstrass formula, and the integral is called the invariant Hilbert integral. It turns out that the same can be done (in different ways) for optimal control problems, yielding exact representations of the cost increment, i.e., increment formulas devoid of residual terms. These formulas allow us, in turn, to develop new necessary optimality conditions, not equivalent to the paradigmatic Pontryagin maximum principle, and descent algorithms without free parameters. Our talk will start with an explosion of some basic ideas behind the promoted approach for the classical nonlinear optimal control of ODEs. Next, we will show how similar results can be developed for more complex problems in the space of probability measures, when the dynamics are represented by the continuity/Fokker-Planck-Kolmogorov equations. In the final part, we will discuss the numerical aspects of the algorithm, and demonstrate its application to several prominent optimization tasks such as optimal control of Bloch equations and synchronization of neural ensembles

SYSTEC 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.

SYSTEC Talks: Lecture with Professor Thor Fossen from NTNU

Title: Line-of-Sight Guidance Laws for 2-D and 3-D Path Following of Aircraft and Marine Craft
Speaker: Thor I. Fossen, Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU) 

Date: September 25, 2023
Time: 2 pm
Location: FEUP – Room B023

Abstract: Autonomous underwater vehicles (AUVs), uncrewed aerial vehicles (UAVs), and uncrewed surface vehicles (USVs) rely heavily on guidance systems to accomplish desired motion control scenarios such as path following and path tracking. The AUV and UAV control objective for path-following is to follow a predefined path in 3-D. For ships and USVs, it is common to specify a 2-D desired planar path parametrized by straight lines and circle segments (Dubins path). A popular and effective way to achieve convergence to the desired path is to implement a look-ahead line-of-sight (LOS) guidance law mimicking an experienced navigator. In this context, the LOS guidance law is derived from a 3-D amplitude-phase representation of the North-East-Down differential equations using Lyapunov stability theory. Alternatively, the vehicle’s position can be modeled as an ideal particle, which can be forced to converge and follow a desired geometrical path by controlling the vehicle’s azimuth and elevation angles. This is referred to as guidance-based path following. The main advantages of LOS guidance laws over Serret-Frenet moving particle methods are simplicity and a small computational footprint. For the LOS guidance laws, uniform semiglobal exponential stability (USGES) can be proven using Lyapunov stability theory. Exponential stability guarantees strong convergence and robustness properties to perturbations. Vehicle path-following control systems can be implemented using commercial heading and altitude/depth autopilots in series with the LOS guidance laws. This presentation provides an overview of LOS guidance laws for 2-D and 3-D path following, including recent results on integral LOS (ILOS) and adaptive LOS (ALOS). The ILOS and ALOS guidance laws compensate for drift forces due to wind, waves, and ocean currents in heading autopilots. Case studies involving marine craft exposed to stochastic ocean currents illustrate the performance of the guidance laws.

Biography: Thor I. Fossen is a professor of guidance, navigation, and control (GNC) at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU), Trondheim. He received an M.Sc. in Marine Technology in 1987 and a Ph.D. in Engineering Cybernetics in 1991. Besides cybernetics, Fossen’s field of research is aerospace engineering and marine technology. This includes GNC systems for uncrewed vehicles (AUV, UAV, USV), robotics, vehicle dynamics, and inertial navigation systems. He has been a Fulbright scholar in flight control at the Department of Aeronautics and Astronautics of the University of Washington, Seattle. Fossen is the author of the Wiley textbook Handbook of Marine Craft Hydrodynamics and Motion Control (2021). He is one of the co-founders and former Vice President of R&D of the company Marine Cybernetics, which DNV acquired in 2012. He is also a co-founder of ScoutDI (2017), which develops drone-based systems for fully digitalized inspections of industrial confined spaces. The Institute of Electrical and Electronics Engineers elevated him to IEEE Fellow in 2016. He received the Automatica Prize Paper Award in 2002 and the Arch T. Colwell Merit Award in 2008 at the SAE World Congress. He was elected to the Norwegian Academy of Technological Sciences (1998) and the Norwegian Academy of Science and Letters (2022).

[Limited spots available based on room capacity]