About André

André Gustavo Scolari Conceição

Received the B.S. and M.S. degrees in Electrical Engineering from the Pontifical Catholic University of Rio Grande do Sul (Porto Alegre, Brazil), in 2001 and 2004, respectively, and the Ph.D. degree in Electrical and Computer Engineering from Oporto University (Porto, Portugal), in 2007. Since 2009, he has been an Associate Professor in the Department of Electrical Engineering, Federal University of Bahia (Salvador, Brazil), and a member of the Electrical Engineering Postgraduate Program. As a Visiting Scholar, he spent one year at the School of Electrical Engineering and Computer Science - Queensland University of Technology - QUT(Brisbane, Australia), and one month in the Department of Electronics, Information, and Bioengineering - Politecnico de Milano (Milan, Italy), in 2013 and 2016, respectively. His main research interests include Robotics Systems, Computational Vision, Automation and Process Control.

Filiations:
LaR - Robotics Lab.
Department of Electrical and Computer Engineering
Federal University of Bahia
Rua Aristides Novis, 02 - 40210-630 - Salvador-BA - Brazil
Phone: +55 (71) 99667-2990

If you are interested, please see my full CV available in the link below:

Recent Projects

Develop an integrated and modular framework for efficiently producing custom- designed products in Industry 4.0 context. FASTEN is composed by 10 partners, 5 from Europe and 5 from Brazil. Specifically, from Europe the partners are: INESC TEC (the project coordinator), Embraer Portugal S. A, Politecnico Di Milano, PACE Aerospace Engineering and Information Technology and Intellimech; from Brazil the partners are: INESC P&D Brasil (BR project coordinator), PUCRS, Bradel, Embraer and ThyssenKrupp. (Funding from the European Unions Horizon 2020 research and innovation programme).

Recent Publications

  • FRANCO, I. J. P. B.; RIBEIRO, T. T.; CONCEIÇÃO, A. G. S.. A NOVEL VISUAL LANE LINE DETECTION SYSTEM FOR A NMPC-BASED PATH FOLLOWING CONTROL SCHEME. JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, V. 101, P. 12, 2021.

  • PINTO, M. F.; MELO, A. G. ; HONÓRIO, L. M.; MARCATO, A. L. M. ; CONCEIÇÃO, A. G. S.; TIMOTHEO, A. O.. DEEP LEARNING APPLIED TO VEGETATION IDENTIFICATION AND REMOVAL USING MULTIDIMENSIONAL AERIAL DATA. SENSORS, V. 20, P. 6187, 2020

  • GUSMEROLI, S. ; DANTAS, M. ; COSTA, F. S. ; HESSEL, F.; Conceição, A. G. S. FASTEN IIOT: AN OPEN REAL-TIME PLATFORM FOR VERTICAL, HORIZONTAL AND END-TO-END INTEGRATION. SENSORS, V. 20, P. 5499, 2020.

  • Saback, R.; Conceição, A. G. S.; Santos, T.; Albiez, J.; Reis, M. Nonlinear Model Predictive Control Applied to an Autonomous Underwater Vehicle. IEEE JOURNAL OF OCEANIC ENGINEERING, v. 1, p. 1-14, 2019.

  • Conceição, A. G. S.; Araujo, H. X.; Santos Jr., J.; SANTOS, T. Remote control of an omnidirectional mobile robot with time-varying delay and noise attenuation. MECHATRONICS, v.52, p. 7-21, 2018

  • Ribeiro, T. T. ; Conceição, A. G. S. Nonlinear Model Predictive Visual Path Following Control to Autonomous Mobile Robots. JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, v. 1, p.1-13, 2018.