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Luis Miguel Bergasa He received the MS degree in Electrical Engineering
in 1995 from the Technical University of Madrid and the PhD degree in
Electrical Engineering in 1999 from the University of Alcalá (UAH). He
is Full Professor at the Department of Electronics of the University of Alcalá (UAH) since 2011. He is Head of the RobeSafe Lab from 2010 and Director of Digital
Transformation of the UAH from 2022.
He was Director of the Advisory Committee
for the Strategic Plan of the UAH (2019-2022), Director of Knowledge Transfer at the UAH (2014-2018) and coordinator of UAH Unit of Scientific Culture and Innovation (UCC+i) (2014-2018). Besides, he was Head of the Department
of Electronics (2004-2010), co-coordinator of the Master Advanced
Electronic Systems, Intelligent Systems (2007-2010), co-coordinator of the Doctorate program in Electronics (2005-2010) and Deputy Inspector of the UAH services (2012-2013). This
course he is teaching the following subjects: Perception Systems included in the Master in Industrial
Engineering, Intelligent Control Systems for the Degree in Computer Engineering
and Computer Vision for the Degree in Telecommunication
Technologies. He is author of more than 300 refereed papers
in journals and international conferences, and corresponding author of 7 national
patents and 1 PCT patent. Currently he has a Scholar Google h-index=47, a WoS h-index=33,
a classic paper in the Transportation line included in Engineering and Computer Science
area of the Google Scholar Metrics (GSM), and 2 main publications in GSM in
the last 5 years: 1
x IEEE T Intelligent Transportation Systems journal (2018-2022), 1
x Intelligent Vehicles Symposium (2018-2022). He ranked #70
in Spain among Best Scientists for 2023 Research.com edition in the field
of Electronics and Electrical Engineering and #71
in the field of Computer Science. He is included in the ranking of top 5000 Spanish scientists (3358 position in 2023). He
was recognized as one of the most productive author in Intelligent
Transportation Systems (ITS) field during the period 1996-2014. He was a Distinguished Lecturer of the IEEE
Vehicular Technology Society (2019-2021). He received the Institutional Lead
Award 2019 from the
IEEE ITS Society for the longstanding work of his research group. His
research activity has been awarded/recognized with 28 prizes/recognitions
related to Robotics and Automotive fields from 2004 to nowadays. He
is Associate Editor of the IEEE Transactions on ITS from 2014 and habitual reviewer in several journals
included in the JCR index. He was Lead Guest Editor of Multimedia Tools and Applications, Guest Editor of two Special Issues (Sensors and IEEE T ITS), member of the Editorial Board of International Journal of Vehicular Technology (2012-2017) and he has served on Program/Organizing Committees in
more than 20 conferences. He was Research Visitor at the Computer
Vision Research Group of
the Trinity College in Dublin (Ireland) in 1998, Visiting Scholar at the Toyota
Technological Institute at Chicago (USA) in 2013, collaborating with Raquel Urtasun,
and at the OPTIMAL Center
Northwestern Polytechnic University (China) in 2017. He was co-founder of Vision Safety Technologies Ltd, a spin-off company established to commercialize
computer vision systems for road infrastructure inspection (2009-2016). His
research interests include real-time Computer Vision for Intelligent
Vehicles. He is currently focus on driver behaviors and scene
understanding using Computer Vision and Deep Learning Techniques for
autonomous vehicle applications. Please contact me if you are interested in
coming to RobeSafe group for PhD studies or post-doctoral
research as I am always looking for excellent new team members. Highlights of Recent/Upcoming papers (ONLY last year) ·
Santiago
Montiel-Marín, Ángel Llamazares, Miguel Antunes, Pedro A. Revenga, Luis M. Bergasa, “Point Cloud
Painting for 3D Object Detection with Camera and Automotive 3+1D RADAR Fusion”,
in Sensors. Submitted in December 2023. ·
Javier Araluce, Luis M. Bergasa, Manuel Ocaña, Ángel
Llamazares and Elena López-Guillén, “Leveraging Driver Attention for an
end-to-end Explainable Decision-making from frontal images”, in IEEE Transactions on Intelligent
Transportation Systems. January 2024. [PDF]. ·
Fabio Sánchez, Felipe
Arango, Carlos Gómez-Huélamo, Manuel Ocaña, Pedro Revenga, Luis M. Bergasa, “Green Deep
Learning: Comparative Study of Road Object Detectors between Jetson Boards
and PC”, in Iberian Robotics Conference (ROBOT),
Coimbra, Portugal, November 2023. [PDF]. ·
Miguel Antunes, Luis
M. Bergasa, Santiago Montiel, Fabio Sánchez-García, Pablo Pardo-Decimavilla,
Pedro Revenga, “Exploring Domain Adaptation with Depth-based 3D Object
Detection in CARLA Simulator”, in in Iberian Robotics Conference (ROBOT), Coimbra, Portugal, November
2023. [PDF]. ·
Pablo
Pardo-Decimavilla, Luis M. Bergasa, Elena López-Guillén, Ángel Llamazares,
Navil Abdeselam and Manuel Ocaña, “Driver Activity Recognition by fusing
Multi-object and Key Points Detection”, in in Iberian Robotics Conference (ROBOT), Coimbra, Portugal, November
2023. [PDF]. ·
Navil Abdeselam,
Rodrigo Gutiérrez-Moreno, Elena López-Guillén, Rafael Barea, Santiago
Montiel-Marín, Luis M. Bergasa,
“Hybrid MPC and Spline-based Controller for Lane Change Maneuvers in
Autonomous Vehicles”, in Conference on Intelligent Transportation Systems (ITSC), Bilbao, Spain, September 2023. [PDF]. ·
Carlos Gómez-Huélamo,
Marcos V. Conde, Rodrigo Gutiérrez-Moreno, Rafael Barea, Ángel Llamazares,
Miguel Antunes, Luis M. Bergasa,
“Efficient Context-Aware Graph Transformer for Vehicle Motion Prediction”, in
Conference on Intelligent Transportation Systems (ITSC), Bilbao, Spain, September 2023. [PDF]. ·
Rodrigo
Gutiérrez-Moreno, Carlos Gómez-Huelamo, Rafael Barea, Elena López-Guillén,
Felipe Arango and Luis M. Bergasa,
“Augmented Reinforcement Learning with Efficient Social-based Motion
Prediction for Autonomous Decision-Making”, in Conference on Intelligent
Transportation Systems (ITSC),
Bilbao, Spain, September 2023. [PDF]. ·
Xuan He, Kailun Yang,
Junwei Zheng, Jin Yuan, Luis M.
Bergasa, Hui Zhang and Zhiyong Li, “S3-MonoDETR: Supervised
Shape&Scale-constrained Deformable Transformer for Monocular 3D Object
Detection”, in IEEE Transactions on
Multimedia. Submitted in August 2023. [PDF]. ·
Carlos Gómez-Huélamo,
Marcos V. Conde, Rafael Barea, Manuel Ocaña, Luis M. Bergasa, “Efficient Baselines for Motion Prediction in
Autonomous Driving”, in IEEE
Transactions on Intelligent Transportation Systems. December 2023. [PDF]. ·
Carlos Gómez-Huélamo,
Marcos Conde, Rafael Barea and Luis M. Bergasa, “Improving Multi-Agent Motion
Prediction with Heuristic Goals and Motion Refinement”, in IEEE/CVF
Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Vancouver, Canada, June 2023. [PDF]. ·
Rodrigo
Gutiérrez-Moreno, Rafael Barea, Elena López-Guillén, Felipe Arango, Navil
Abdeselam and Luis M. Bergasa,
“Hybrid Decision Making for Autonomous Driving in Complex Urban Scenarios”,
in IEEE Intelligent Vehicles Symposium (IV),
Anchorage, Alaska, USA, June 2023. [PDF]. ·
Wijden Bouzidi,
Soulef Bouaafia, Mohamed Ali Hajjaj and Luis
M. Bergasa, “Enhanced U-Net Approach: Semantic Segmentation for Self
Driving Cars Applications”, in IEEE International Multi-Conference on
Systems, Signals & Devices (SSD),
Mahdia, Tunisia. February 2023. [PDF]. Highlights of Recent/Upcoming professional service (ONLY last year) ·
2024. International
Program Committee and Associate Editor in the IEEE Intelligent Transportation
Systems Conference (ITSC), Edmonton, Canada, September, 2024. ·
2024. Program
Committee in the Workshop on
Physical Agents (WAF 2024), Alicante, Spain, September 2024. ·
2024. International
Program Committee and Associate Editor in the IEEE Intelligent Vehicles Symposium
(IV), Jeju Shinhwa World, Jeju Island, Korea. ·
2024. Autonomous and
connected vehicles Course. Invited conference “Human Factors and Social Aspects”.
January-March, 2024, INSIA, Madrid, Spain. ·
2023. New
Transmission project:
INARTRANS 4.0. Digital
transition towards an advanced industry in artificial intelligence solutions
for the transportation infrastructure sector (January 2024 – December 2026).
Partners: Acciona, Indra, Virtualmechanics, JIG Internet Consulting, Grupo de
empresas AZVI, MainRail, CTCON, Intromac, Tekniker, UPM, UAH. Financed by the Spanish Ministry of Science and Innovation (MICIIN). ·
2023. Evaluator of
Industrial Doctorates grants of the Community of Madrid for the 2023 call in
the field of Information and Communication Technologies (ICT). July 2023. ·
2023. Second prize in the
"Thesis in 3 minutes" 2023 award, organized by the public
universities of Madrid, in the branch of knowledge "Engineering and
Architecture" for my PhD student Mr. Carlos Gómez Huélamo. ·
2023. International Referee for the Swiss National
Science Foundation (SNSF) in the field of Computer Science. 1st semester
2023. ·
2023. Chair at the Workshop
RoboCity2030-DIH: Intelligent robotics
in health and care challenges. March 2023. ·
2023. Keynote lecture
entitled "Beyond supervised Deep Learning for Autonomous Driving”, at
the Master
in Computer Vision of the URJC, March 2023. ·
2023. Business excellence round
table. Success story: Industrial doctorate at INDRA organized by Spanish
Engineering Institute. March 2023. ·
2023. Evaluator of
the ELISE (European Network of AI
Excellence Centres) 2nd Open Call (H2020 ICT48 project) for start-ups and
SMEs. January-March 2023. ·
2023. Evaluator of
Industrial Doctorates grants of the Community of Madrid for the 2020 call in
the field of Information and Communication Technologies (ICT). Tracking.
January 2023. ·
2023. International
Program Committee and Associate Editor in the IEEE Intelligent Vehicles Symposium
(IV), Anchorage, Alaska, USA, June, 2023. ·
2023. International
Program Committee and Associate Editor in the IEEE Intelligent Transportation
Systems Conference (ITSC), Bilbao, Spain, September, 2023. ·
2023. New proof of
concept project: AVAD.
Autonomous Vehicle for Aging Drivers (December 2022
– November 2024). Funded by the Spanish Ministry of
Science and Innovation (MICIN). ·
2023. New industrial
project: Automotive radar clustering implementation. 2nd part
(January 2023 – December 2023). Company: Huawei Düsseldorf Technologies GmbH. |
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