I am Head of the Future Interaction Programme & Principal Scientist at Samsung AI Center, Cambridge and Associate Professor at Queen Mary University of London. Prior to that, I was Associate Professor at the University of Nottingham, and Senior Research Fellow in the Intelligent Behaviour Understanding Group (iBUG), at Imperial College London. I received the Diploma degree in Electrical and Computer Engineering from Aristotle University of Thessaloniki, Greece, and the M.Sc. and Ph.D. degrees in Signal Processing and Computer Vision both from Imperial College London.

Research

My research interests are mainly in the problems of image & video recognition, detection and tracking, pose estimation, image & video generation, 3D reconstruction and super-resolution, with humans and their actions being the focal point of my research. I have approached these problems mainly using tools from Mathematical Optimization and Machine Learning. My current focus is on Compute & Data Efficient Deep Learning and its application to video recognition.

In the aforementioned areas, I have co-authored more than 100 publications (h-index 45, over 11,000 citations to my work according to Google Scholar), many of which in the most authoritative journals (IEEE TPAMI, IJCV, IEEE TIP) and conferences (CVPR, ICCV, ECCV, NeurIPS, ICLR) of my field. For a full list of publications see my Google Scholar.

Team @ QMUL

• Alexandros Xenos (PhD, QMUL)
• Debin Meng (PhD, QMUL)
• Stella Bounareli (PhD, with Vasilis Argyriou)
• Ioanna Ntinou (PhD, QMUL)
• Zhonglin Sun (PhD, QMUL)

Past Supervision (QMUL & UoN)

• Keerthy Kusumam (PhD)
• Dimitris Mallis (PhD)
• Jing Yang (PhD)
• Adrian Bulat (PhD)
• Enrique Sanchez-Lozano (PhD & Post-Doc)
• Aaron Jackson (PhD)
• Themos Stafylakis (Marie Curie Research Fellow; now with Omilia)
• Haris Khan (Post-Doc; now with MBZUAI - UAE)
• Farhad Bazyari (Post-Doc)

Projects

• EPSRC Revisiting optical scattering with machine learning (Co-I)
• H2020 TalkingHeads (Supervisor)
• EPSRC Facial Deformable Models of Animals (PI)
• Visible Signs of Feline Pain (PI for Computer Science)
• TSB Novel computer vision techniques for food quality analysis (PI)

Teaching

• Neural Networks & Deep Learning (ECS659U & ECS659P)