Jorge Lobo (Jorge Nuno de Almeida e Sousa Almada Lobo) was born on the 23rd of September 1971, in Cambridge, U.K. . With the exception of his 4th year of primary school, done in Australia, and his last year of high school when he took his 'A' levels in Norwich, U.K., he did his academic studies in Portugal. In 1995 he completed his 5-year course in Electrical Engineering at Coimbra University. In April 2002, he completed the M.Sc. degree and in June 2007, the Ph.D. degree with the thesis ‘‘Integration of Vision and Inertial Sensing’’.
He was a junior teacher at the Computer Science Department of the Coimbra Polytechnic School, and later joined the Electrical and Computer Engineering Department of the Faculty of Science and Technology of the University of Coimbra, where he currently works as Assistant Professor with tenure. He was responsible for a PhD course on Autonomous Robotic Systems, including computer vision and sensing, and curently MSc courses on Digital Design, Microprocessors and Computer Architecture, Hardware/Software Co-design, and Quantum Computing.
His current research is carried out at the Institute of Systems and Robotics, University of Coimbra, working in the field of computer vision, sensor fusion for mobile robotics, and low power computing. Current research interests focus on artificial perception, probabilistic approaches and novel computing solutions using reconfigurable hardware and quantum computing. He has participated in several national and European projects, and had a more prominent role in BACS — Bayesian Approach to Cognitive Systems (FP6-IST-027140), HANDLE — Developmental pathway towards autonomy and dexterity in robot in-hand manipulation (FP7-2008–231640), BAMBI Bottom- up Approaches to Machines dedicated to Bayesian Inference (FET - FP7-ICT-2013-C, n 618024), and ECOBOTICS.SEA - Bio-inspired Technologies for a Sustainable Marine Ecosystem, (H2020-MSCA-RISE-2018, n 824043), that was coordinated by Coimbra. He is an IEEE Senior Member and was until recently president of the Portuguese Chapter of the IEEE Robotics and Automation Society (RAS).
He is a founding member of the Quantum@UC interest group and some years ago started an optional introductory course on quantum computing for the electrical and computer engineering students, and now, in collaboration with the physics and computer science departments, a specialisation course on Quantum Computing and Technologies. Currently he is PI of a national project in Quantum, Q-Bet: Bridging classical to quantum approaches, leveraging HPC and bio-inspired computational approaches, with applications in Physics, Channel Coding, and Bio-inspired AI.
(old) Webpage at DEEC
-- more links:
- Key contribution at ISR-UC
- Unconventional computing for Bayesian inference
- Q-Bet: Bridging classical to quantum approaches, leveraging HPC and bio-inspired computational approaches, with applications in Physics, Channel Coding, and Bio-inspired AI.
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