Computer Vision Machine Learning (AIIA.CVML)

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AIIA.CVML R&D group (AIIA Lab, Aristotle University of Thessaloniki, Greece) is very active research lab working for more than 3 decades in AI, intelligent digital media, imaging and related areas. In particular, its topics of interest span the areas of computer vision, machine learning, autonomous systems, intelligent digital media, image/video processing, human-centred computing, affective computing, 3D imaging and biomedical imaging, virtual reality in medicine/dentistry, multimedia security/protection, biometrics, bioinformatics, computer graphics and visualization and cultural heritage conservation. It has undertaken more than 71 R&D projects in those areas, mostly funded by European Union (H2020, FP7/6/5). Prof. I. Pitas Pitas is/was principal investigator/researcher in 43 competitive R&D projects, mostly funded by the European Union.

H2020 project list follows:

  • H2020 AI4Media project ‘A European Excellence Centre for Media, Society and Democracy’.
  • H2020 Aerial Core project: ‘AERIAL COgnitive integrated multi-task Robotic system with Extended operation range and safety’.
  • H2020 Multidrone project: ‘Multiple drone platform for media production’.

As a result of this research, 11 books, 45 book chapters and more than 920 publications have been published in international scientific journals and conference proceedings, creating 32200+ citations. Such books are ‘Digital video processing and analysis’ (China Machine Press, 2017), ‘Graph-based social media analysis’ (CRC Press, 2015), ‘Digital Video and Television’ (Createspace/Amazon 2013), “Digital Television and digital video processing(in Greek 2010), ‘3D image processing algorithms’ (Wiley 2000), ‘Digital image processing algorithms and applications’ (Wiley 2000), ‘Nonlinear Model-Based Image/Video Processing and Analysis’ (Wiley 2000), ‘Digital image processing’ (in Greek, 1999), “Parallel Algorithms and Architectures for Digital Image Processing,  Computer Vision and Neural Networks” (Wiley,  1993), “Digital Image Processing Algorithms” (Prentice Hall, 1993), “Nonlinear  Digital  Filters: Principles and Applications” (Kluwer, 1990).

AIIA Lab organizes the 2021 AI Mellontology worshop in Thessaloniki on 25/8/2021. Prof. I. Pitas was co-organizer of the WACV2021 Autonomous Vehicle Vision 2021 (AVVision’21) workshop and the 3rd ACCV Workshop on e-Heritage. He was technical co-chair of the 2003 Greek Informatics Conference (EPY) and the 2007 IEEE Workshop on Machine Learning for Signal Processing (MLSP2007) and co-chair of the 2013 IEEE IVMSP workshop on ‘3D image/video technologies and applications. AIIA Lab has organized and hosted IEEE NSIP1995, IEEE ICIP2001 (the biggest yearly international scientific conference on image processing) and has co-organized the 2003 International workshop on Interactive multimedia Content Production. Prof. I. Pitas was technical chair EUSIPCO98, co-chair of the 2003 International Workshop on Rich Media Content Production. Since 2018, AIIA Lab organizes seasonal schools and short courses twice a year on Computer Vision and Machine Learning.

AIIA Lab has strong cooperation with other Universities, research centres and industrial partners in the area of its interests through projects mainly funded by the European community.

AIIA.CVML R&D group contact person:

Prof. I. Pitas, AIIA Lab director

Department of Informatics, Aristole University of Thessaloniki, Thessaloniki 54124, BOX 114, Greece

Tel: +30-2310-996304, +30-2310-996361 (secretary)

e-mail: pitas@csd.auth.gr


People

Ioannis Pitas (AIIA lab director)

Prof. Ioannis Pitas (IEEE Fellow, IEEE Distinguished Lecturer, EURASIP Fellow) received the Diploma and PhD degree in Electrical Engineering, both from the Aristotle University of Thessaloniki (AUTH), Greece. Since 1994, he has been a Professor at the Department of Informatics of AUTH and Director of the Artificial Intelligence and Information Analysis (AIIA) lab. He served as a Visiting Professor at several Universities. His current interests are in the areas of computer vision, machine learning, autonomous systems, intelligent digital media, image/video processing, human-centred interfaces, affective computing, 3D imaging and biomedical imaging. He has published over 906 papers, contributed in 47 books in his areas of interest and edited or (co-)authored another 11 books. He has also been member of the program committee of many scientific conferences and workshops. In the past he served as Associate Editor or co-Editor of 9 international journals and General or Technical Chair of 4 international conferences. He participated in 70 R&D projects, primarily funded by the European Union and is/was principal investigator/researcher in 42 such projects. He has 31600+ citations to his work and h-index 85+ (Google Scholar). Prof. Pitas leads the International AI Doctoral Academy (IAIDA) of the European H2020 R&D project AI4Media https://ai4media.eu/. He is chair of the Autonomous Systems Initiative: http://asi.politecnica.unige.it/.


Ioannis Mademlis (Post-doc)

Dr. Ioannis Mademlis is a computer scientist, specialized in artificial intelligence. He received a B.Sc. (2007) and a M.Sc. degree (2010) from the University of Ioannina, Greece. Additionally, he received a M.Sc. degree in intelligent systems/cognitive science (2014) and a Ph.D. in machine learning and computer vision (2018), both from the Aristotle University of Thessaloniki, Greece (AUTH). While pursuing his Ph.D., he was granted a 1-year academic excellence scholarship. Presently, he is employed as a postdoctoral research associate at the Artificial Intelligence and Information Analysis Laboratory (AIIA) in AUTH. He has participated in 5 European Union-funded R&D projects (3DTVS, IMPART, MULTIDRONE, AERIAL-CORE, AI4MEDIA), having co-authored more than 30 publications in academic journals and international conferences. His current research interests include machine learning, computer vision, natural computing, autonomous robotics and intelligent cinematography.


Vasileios Mygdalis (Post-doc)

Dr. Vasileios Mygdalis (M) is currently a research associate at the Artificial Intelligence and Information Analysis laboratory, in the Department of Informatics, Aristotle University of Thessaloniki (AUTH), Greece. He received a B.Sc. (2010) and a M.Sc. (2014) degrees in Biomedical Informatics, from the University of Central Greece and AUTH, respectively, and a Ph.D. in machine learning and computer vision from AUTH (2019). Since 2014 and during his PhD studies, he served at AUTH as a researcher and teaching assistant in the fields of machine learning, image processing, computer vision and pattern recognition, except a six month period in 2017, where he served as a research associate at the University of Bristol, UK. Vasileios has participated in 4 R&D collaborative projects, funded by the European Union (3DTVS, IMPART, MULTIDRONE, AERIAL-CORE), executing research, technical/financial management and administrative duties. He has (co-)authored more than 25 peer-reviewed papers in academic journals and international conferences. His current research interests include the areas of machine learning, computer/robotic vision and autonomous systems.


Contact


Prof. I. Pitas, pitas@csd.auth.gr, +30-2310-996304, 996361

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