Machine learning and in particular computer vision enable smarter algorithms than ever before. What's next? Mobile robotics with artificial intelligence.

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Matthias Mueller's Personal Webpage

Matthias Mueller was an Electrical and Computer Engineering Ph.D. candidate in Image and Video Understanding Lab (IVUL) Group at Visual Computing Center (VCC) under the supervision of Prof. Bernard Ghanem at King Abdullah University of Science and Technology (KAUST). 

Education and Early Career

Matthias graduated with a B.Sc. in Electrical Engineering and Math Minor from Texas A&M University in 2011. After graduation, he joined P+Z Engineering in Munich, Germany as an Electrical Engineer and worked for 3 years on the development of mild-hybrid electric machines at BMW. In 2014, he started his M.Sc. in Electrical Engineering at KAUST and rolled over into the Ph.D. program in 2016. He earned his Ph.D. in 2019 in Computer Vision. 

Research Interest

Matthias research interests lay in the fields of computer vision, robotics and machine learning where he has contributed to more than 10 publications. His primary research interest is in object detection and tracking, especially from Unmanned Aerial Vehicles. Matthias has extensive experience in object tracking and autonomous navigation of embodied agents such as cars and UAVs.

Honors and Awards

Matthias Mueller was a distinguished student through his academic life. He had the Academic Scholarship at Texas A&M. In 2018, he won a scholarship to attend PAISS summer school. Also, he was awarded the Best Paper/Presentation Award in the European Conference on Computer Vision (ECCV’18) – UAVision. Mueller was among the Outstanding Reviewer in the premier annual computer vision event CVPR’18.

Education Profile

  • Ph.D., Electrical Engineering, King Abdullah University of Science and Technology, Saudi Arabia, 2019
  • M.Sc., Electrical Engineering, King Abdullah University of Science and Technology, Saudi Arabia, 2016
  • B.Sc., Electrical Engineering with Math Minor, Texas A&M University, USA, 2011

Awards and Distinctions

  • Best Paper/Presentation Award – ECCVW’18 UAVision, 2018
  • Outstanding Reviewer – CVPR’18, 2018
  • Scholarship to attend PAISS summer school, 2018
  • President Award, 2011
  • Student Employee of the Year, 2008
  • Academic Scholarship + one fully paid semester abroad, 2008-2011
  • Dean’s Honor Roll, 2007-2010

Professional Memberships

  • IEEE
  • Computer Vision Foundation

Selected Publications

Li, G., Mueller, M., Casser, V., Smith, N., Michels, D. L., Ghanem, B. (2018). Teaching UAVs to Race With Observational Imitation Learning, (Preprint). https://hdl.handle.net/10754/627342
Handle
10754/627342
Mueller, M., Smith, N., & Ghanem, B. (2017). Context-Aware Correlation Filter Tracking. 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). doi:10.1109/cvpr.2017.152
Handle
10754/626827
DOI
10.1109/cvpr.2017.152
Altmetrics
Mueller, M., Smith, N., Ghanem, B. (2017). Persistent Aerial Tracking from UAVs, Winter Enrichment Program 2017 - Poster Competition||KAUST Research Conference 2017: Visual Computing – Modeling and Reconstruction. https://hdl.handle.net/10754/623359
Handle
10754/623359
Mueller, M., Smith, N., & Ghanem, B. (2016). A Benchmark and Simulator for UAV Tracking. Lecture Notes in Computer Science, 445–461. doi:10.1007/978-3-319-46448-0_27
Handle
10754/622126
DOI
10.1007/978-3-319-46448-0_27
Altmetrics
Bibi, A., Mueller, M., & Ghanem, B. (2016). Target Response Adaptation for Correlation Filter Tracking. Lecture Notes in Computer Science, 419–433. doi:10.1007/978-3-319-46466-4_25
Handle
10754/622156
DOI
10.1007/978-3-319-46466-4_25
Altmetrics
Mueller, M. (2016). Persistent Aerial Tracking, (Thesis). https://hdl.handle.net/10754/608605
Handle
10754/608605

Publications

Also view list of Publications on KAUST Repository
Academic Advisors
KAUST CEMSE EE VCC IVUL Bernard Ghanem

Bernard Ghanem

Professor, Electrical and Computer Engineering
Professors

Related URLs

Visual Computing Center (VCC)