Study at Mohamed bin Zayed University of Artificial Intelligence

Professor Ling Shao is the Executive Vice President and Provost (the Chief Academic Officer) of the Mohamed bin Zayed University of Artificial Intelligence. He is also the Founding CEO and Chief Scientist of the Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, UAE. He received the B.Eng. degree in Electronic and Information Engineering from the University of Science and Technology of China (USTC), the M.Sc. degree in Medical Image Analysis and the Ph.D. (D.Phil.) degree in Computer Vision at the Robotics Research Group with Professor Sir Michael Brady from the University of Oxford. Previously, He was Chair Professor (2016-2018) in Computer Vision and Machine Learning and Director of the Artificial Intelligence Laboratory with the University of East Anglia, Norwich, Chair Professor (2014-2016) in Computer Vision and Machine Intelligence and Head of the Computer Vision and Artificial Intelligence Group with Northumbria University, Newcastle upon Tyne, a Senior Lecturer (2009-2014) with the University of Sheffield and a Senior Scientist (2005-2009) with Philips Research, The Netherlands. His research interests include Computer Vision, Deep Learning/Machine Learning, Medical Imaging, and Image/Video Processing. He has authored/co-authored over 400 papers in top conferences/journals such as ICCV, CVPR, ECCV, NeurIPS, TPAMI and IJCV and over 20 EU/US patents.

Ling Shao has been an Associate Editor of IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Cybernetics, and several other journals. He has edited four books and several special issues for journals such as IJCV. He has organized a number of international workshops with top conferences including ICCV, ECCV and ACM Multimedia. He was the General Chair for BMVC 2018, has been an Area Chair or Program Committee member for many conferences, including ICCV, CVPR, ECCV and ACM MM, and a reviewer for many leading journals. He was selected as a Highly Cited Researcher by the Web of Science in 2018 and 2019. He is a Fellow of the IAPR, a Fellow of the British Computer Society, a Fellow of the IET, a Senior Member of the IEEE, and a Life Member of the ACM. 

Fahad Khan is currently a Lead Scientist at the Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, United Arab Emirates. Before joining the IIAI, he was a Senior Lecturer at Computer Vision Laboratory, Linkoping University, Sweden. He received an MSc degree in Intelligent Systems Design from Chalmers University of Technology, Sweden and a Ph.D. degree in Computer Vision from Autonomous University of Barcelona, Spain. From 2012 to 2014, he was a postdoctoral fellow at Computer Vision Laboratory, Linkoping University, Sweden. From 2014 to 2018, he was a research fellow at Linkoping University, Sweden. In 2016, he received the prestigious starting grant (acceptance rate 15%) worth 350K Euros from the Swedish Research Council. In 2018, he was awarded the Docent title (in Sweden, Docent is often translated as Associate Professor) in computer vision from Linkoping University, Sweden. He has achieved top ranks on various international challenges (Visual Object Tracking VOT: 1st 2014 and 2018, 2nd 2015, 1st 2016; VOT-TIR: 1st 2015 and 2016; OpenCV Tracking: 1st 2015; 1st PASCAL VOC Segmentation and Action Recognition tasks 2010). He received the best paper award in the computer vision track at IEEE ICPR 2016. He has published over 50 reviewed conference papers, journal articles, and book contributions, with over 6000 citations according to Google Scholar. His research interests include computer vision and machine learning. He serves as a regular program committee member for leading computer vision and artificial intelligence conferences such as IEEE CVPR, ICCV, and ECCV.

Xiantong Zhen is currently a Senior Scientist at the Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, United Arab Emirates. Before joining IIAI, he was an Associate Professor with Beihang University in Beijing, China from 2017 to 2018. He received BS and ME degrees from Lanzhou University in Lanzhou, China, in 2007 and 2010 respectively, and received his PhD degree from the Department of Electronic and Electrical Engineering at The University of Sheffield, U.K., in 2013. He was a Post-Doctoral Fellow with the University of Western Ontario, Canada, and the University of Texas at Arlington, Arlington, TX, USA, from 2013 to 2017. He served as a Guest Editor of Image and Vision Computing (IVC) Journal. He received the Country Presents Awards at the Annual Meeting of Radiology Society of Northern America (RSNA), 2014. His research interests include machine learning, computer vision, and medical image analysis.

Munawar Hayat received his PhD from The University of Western Australia (UWA). His PhD thesis received multiple awards, including the Dean’s List Honorable Mention Award and the Robert Street Prize (awarded to one student annually at UWA; since its inception in 1996, the prize went for the first time to a computer science PhD thesis). After his PhD, he joined IBM Research as a postdoc and then moved to the University of Canberra in a tenured-track faculty position as an Assistant Professor. He is currently a Senior Scientist at Inception Institute of Artificial Intelligence, UAE. Munawar has secured 380K AUD of research funding through the highly competitive and prestigious Australian Research Council Discovery Project scheme. He was granted two US patents, and has published over 30 papers at leading venues in his field, including TPAMI, IJCV, CVPR, ECCV and ICCV. His research interests are in computer vision, machine/deep learning, and signal processing.
 

Rao Muhammad Anwer is currently working as Research Scientist at the Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi , UAE. Before joining IIAI, he was a Post-Doctoral Research Fellow with Aalto University, Finland from 2014-2018. He received the master’s degree in intelligent systems design from the Chalmers University of Technology, Sweden, and the Ph.D. degree in computer vision from the Autonomous University of Barcelona, Spain. His research interests are in object detection, pedestrian detection and action recognition.

Hisham Cholakkal is currently working as a Research Scientist at the Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, United Arab Emirates. He received PhD degree in Computer Vision from Nanyang Technological University, Singapore and M.Tech degree in Digital Signal Processing from Indian Institute of Technology Guwahati, India. He has six years of experience at various industrial and academic research labs. Before joining IIAI, he was a Senior Technical Lead in the Computer Vision and Deep learning Research team at Mercedes-Benz R&D, India. He has also worked as a computer vision researcher at BEL-Central Research Lab, India and Advanced Digital Sciences Center, Singapore. His research interests include object detection, instance segmentation, pedestrian detection, human object interaction, human pose estimation, crowd counting, image classification and weakly supervised learning.

Muhammad Haris Khan is currently working as a Research Scientist in Inception Institute of Artificial Intelligence (IIAI), UAE. Before joining IIAI, he served as an Assistant Professor at Comsats University Islamabad (CUI), Pakistan for 2 years. Earlier, he was a Post-Doctoral fellow at the University of Nottingham (UoN), UK for 1.5 years. He obtained his PhD in Computer Vision from University of Nottingham (UoN), UK, and Masters from University of Sussex, UK. Prior to starting his PhD, he also served as a Lecturer for 3 years at CUI, Pakistan. He has authored and co-authored several papers in top-ranked computer vision conferences. His overall peer-reviewed research has over 1300 citations. His research interests span active topics in computer vision including face-related tasks, domain adaptation, visual tracking and object recognition. He is also a recipient of International Research Excellence Scholarship for his Doctoral study.

Hang Dai is currently working as Research Scientist at the Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, United Arab Emirates. He received his PhD degree from the Department of Computer Science at The University of York, U.K., in 2018. He was an Oversea Research Scholar with the University of York, from 2015 to 2018. His research was funded by NHS, Google, Royal Academy of Engineering and the Leverhulme Trust and QIDIS from the National Commissioning Group. He served as a reviewer of ICCV, CVPR, ECCV and program committee member of AAAI. His research interests include geometric deep learning, deepfake generation and detection, 3D computer vision.

 Dr Mohammad Yaqub is an Assistant Arofessor in the Computer Vision Department at the Mohamed bin Zayed University of Artificial Intelligence. He is also an honorary research fellow at the Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Prior to joining MBZUAI, Dr. Yaqub spent 12 years in Oxford, UK. He received his DPhil (PhD) in Biomedical Engineering from the University of Oxford in 2011. During his PhD, he was supervised by Prof Alison Noble, Dr Kassim Javaid and Prof Cyrus Cooper. He worked on developing machine learning solutions to real-world medical problems. After his PhD, he was a research fellow (2011 - 2016) at the Institute of Biomedical Engineering, University of Oxford and a lecturer (2010 - 2020) in the IT Services, University of Oxford. 
He worked on several problems including fetal brain structure detection and segmentation in 2D and 3D ultrasound, fusion of 4D echocardiographic images, automatic categorization and quality checking of images from routine fetal anomaly scans. He has co-supervised PhD and master students during his work at Oxford.
Dr. Yaqub was also the Vice President of Engineering (2016 - 2020) at Intelligent Ultrasound limited where he led a team to build medical device products. Dr. Yaqub has taken his research ideas from its early days at the University of Oxford all the way to the integration of a medical product (ScanNav) into the ultrasound machines of a world-leading manufacturer. 
Dr. Yaqub’s research interests include medical image analysis (e.g., ultrasound, MRI and CT), deep learning / machine learning, and medical image registration. He has published over 35 peer-reviewed articles in top conferences and journals such as IEEE TMI, Medical Image Analysis, MICCAI and UOG. He has been granted multiple research grants and two patents. He is co-organizing the 24th Medical Image Understanding and Analysis (MUIA) in summer 2020 at Oxford University