About Abdullah Hamdi Abdullah Hamdi Ph.D., Electrical and Computer Engineering Deep learning machine learning Computer Vision Abdullah Hamdi was a Ph.D. student in the Image and Video Understanding Lab (IVUL) Group at King Abdullah University of Science and Technology (KAUST) under the supervision of Professor Bernard Ghanem. Education and Early Career In 2016, Abdullah Hamdi obtained his bachelor's degree in Electrical Engineering from King Fahd University of Petroleum and Minerals (KFUPM) in Dhahran, Saudi Arabia. After that, he joined KAUST to pursue the same field of study and received his master's degree in 2017 in the Computer Vision track. Research Interest Machine Learning Robustness of Deep Learning Computer Articles Related News January 2021 CEMSE Student Research Excellence Awards and Student Academic Accomplishment Awards winners announced 2 min read · Tue, Jan 5 2021 News Spotlight student research excellence awards The annual CEMSE Student Research Excellence Awards and Student Academic Accomplishment Awards celebrate the talent and achievements of the Division's students. Awarded around the KAUST Commencement ceremony, the awards are presented in recognition of the academic accomplishments and research impact created by our leading students in the fields of Applied Mathematics and Computer Science (AMCS), Computer Science (CS), Electrical and Computer Engineering (ECE), and Statistics (STAT). October 2020 KAUST team wins NEOM AI Challenge 1 min read · Mon, Oct 26 2020 News In June this year, KAUST students were invited to Dream up ideas and Imagine new solutions for solving challenges in NEOM using AI Models. This was organized by a Saudi national competition for all universities in the Kingdom. 100+ projects were submitted to the organizing committee (https://neomchallenge.com/en). August 2020 Abdullah Hamdi Received The Best Paper Award in an ECCV Workshop 1 min read · Tue, Aug 25 2020 News The 2020 European Conference on Computer Vision (ECCV 2020) is the top European conference in the image analysis area. One of their workshops aims to bring together researches from the fields of adversarial machine learning, robust vision and explainable AI to discuss recent research and future directions for adversarial robustness and explainability, with a particular focus on real-world scenarios. From the Adversarial Robustness in the Real World, ECCV 2020 workshop, Abdullah Hamdi (PhD student at IVUL) received the Best Paper Award. November 2019 Student Focus: Abdullah Hamdi 1 min read · Thu, Nov 21 2019 Spotlight student focus KAUST Ph.D. student Abdullah Hamdi began his university studies at King Fahd University of Petroleum & Minerals (KFUPM) in the Eastern Province of Saudi Arabia, where he specialized in electrical engineering. After graduating from KFUPM in 2016, he moved to KAUST for his master's degree ('18) and Ph.D. in electrical engineering, with a focus on artificial intelligence (AI), deep learning and computer vision. At KAUST, Hamdi is part of Associate Professor Bernard Ghanem's Image and Video Understanding Lab. Ghanem, a member of the University's Visual Computing Center, seeks to teach machines to August 2019 Testing the blind spots in artificial intelligence 1 min read · Thu, Aug 29 2019 News machine learning artificial intelligence visual computing electrical engineering Understanding the situations when artificial intelligence can fail is critical for application of future autonomous vehicles and medical diagnostics. May 2017 Abdullah Hamdi participates in global UNESCO event 1 min read · Thu, May 4 2017 News Youth and their Social Impact global UNESCO event Riyadh Abdullah Hamdi participates in global UNESCO event on “Youth and their Social Impact” in Riyadh, Saudi Arabia
CEMSE Student Research Excellence Awards and Student Academic Accomplishment Awards winners announced 2 min read · Tue, Jan 5 2021 News Spotlight student research excellence awards The annual CEMSE Student Research Excellence Awards and Student Academic Accomplishment Awards celebrate the talent and achievements of the Division's students. Awarded around the KAUST Commencement ceremony, the awards are presented in recognition of the academic accomplishments and research impact created by our leading students in the fields of Applied Mathematics and Computer Science (AMCS), Computer Science (CS), Electrical and Computer Engineering (ECE), and Statistics (STAT).
KAUST team wins NEOM AI Challenge 1 min read · Mon, Oct 26 2020 News In June this year, KAUST students were invited to Dream up ideas and Imagine new solutions for solving challenges in NEOM using AI Models. This was organized by a Saudi national competition for all universities in the Kingdom. 100+ projects were submitted to the organizing committee (https://neomchallenge.com/en).
Abdullah Hamdi Received The Best Paper Award in an ECCV Workshop 1 min read · Tue, Aug 25 2020 News The 2020 European Conference on Computer Vision (ECCV 2020) is the top European conference in the image analysis area. One of their workshops aims to bring together researches from the fields of adversarial machine learning, robust vision and explainable AI to discuss recent research and future directions for adversarial robustness and explainability, with a particular focus on real-world scenarios. From the Adversarial Robustness in the Real World, ECCV 2020 workshop, Abdullah Hamdi (PhD student at IVUL) received the Best Paper Award.
Student Focus: Abdullah Hamdi 1 min read · Thu, Nov 21 2019 Spotlight student focus KAUST Ph.D. student Abdullah Hamdi began his university studies at King Fahd University of Petroleum & Minerals (KFUPM) in the Eastern Province of Saudi Arabia, where he specialized in electrical engineering. After graduating from KFUPM in 2016, he moved to KAUST for his master's degree ('18) and Ph.D. in electrical engineering, with a focus on artificial intelligence (AI), deep learning and computer vision. At KAUST, Hamdi is part of Associate Professor Bernard Ghanem's Image and Video Understanding Lab. Ghanem, a member of the University's Visual Computing Center, seeks to teach machines to
Testing the blind spots in artificial intelligence 1 min read · Thu, Aug 29 2019 News machine learning artificial intelligence visual computing electrical engineering Understanding the situations when artificial intelligence can fail is critical for application of future autonomous vehicles and medical diagnostics.
Abdullah Hamdi participates in global UNESCO event 1 min read · Thu, May 4 2017 News Youth and their Social Impact global UNESCO event Riyadh Abdullah Hamdi participates in global UNESCO event on “Youth and their Social Impact” in Riyadh, Saudi Arabia
Related Sites Center of Excellence for Generative AI (GenAI) Electrical and Computer Engineering (ECE) Image and Video Understanding Lab (IVUL) Related Content Articles 6 Events 1 Related Links Also view list of Publications on KAUST Repository Visual Computing Center (VCC) Fihm.ai (Arabic AI Blog) Personal Website
