Jose Braz Escola Superior de Tecnologia de Setúbal Portugal http://ltodi.est.ips.pt

Brief Bio
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Giovanni Maria Farinella Università di Catania Italy www.dmi.unict.it/farinella

Brief Bio
Giovanni Maria Farinella obtained the degree in Computer Science (egregia cum laude) from the University of Catania, Italy, in 2004. He is Founder Member of the IPLAB Research Group at University of Catania since 2005. He was awarded a Doctor of Philosophy (Computer Vision) from the University of Catania in 2008. He is currently a Full Professor at the Department of Mathematics and Computer Science, University of Catania, Italy. His research interests lie in the fields of Computer Vision, Pattern Recognition and Machine Learning, with focus on First Person (Egocentric) Vision. He is Associate Editor of the intern ational journals IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition - Elsevier and IET Computer Vision. He has been serving as Area Chair for CVPR 2020/21/22, ICCV 2017/19/21, ECCV 2020, BMVC 2020, WACV 2019, ICPR 2018, and as Program Chair of ECCV 2022, ICIAP 2021 and VISAPP 2019/20/21/22/23. Giovanni Maria Farinella founded (in 2006) and currently directs the International Computer Vision Summer School. He also founded (in 2014) and currently directs the Medical Imaging Summer School. He is member of the European Laboratory for Learning and Intelligent Systems (ELLIS), Senior Member of the IEEE Computer Society, Scientific Advisor of the NVIDIA AI Technology Centre (NVAITC), and board member of the CINI Laboratory of Artificial Intelligence and Intelligent Systems (lead of the area AI for Industry - since 2021). He was awarded the PAMI Mark Everingham Prize 2017. In addition to academic work, Giovanni's industrial experience includes scientific advisorship to different national and international companies and startups, as well as the leadership as Founder and Chief Scientific Officer of Next Vision - Spinoff of the University of Catania. ... More >>

Petia Radeva Universitat de Barcelona Spain

Brief Bio
Prof. Petia Radeva is a Full professor at the Universitat de Barcelona (UB), Head of the Consolidated Research Group “Artificial Intelligence and Biomedical Applications (AIBA)” at the University of Barcelona. Her main interests are in Machine/Deep learning and Computer Vision and their applications to health. Specific topics of interest: data-centric deep learning, uncertainty modeling, self-supervised learning, continual learning, learning with noisy labeling, multi-modal learning, NeRF, food recognition, food ontology, etc. She is an Associate editor in Chief of Pattern Recognition journal and International Jo urnal of Visual Communication and Image Representation. She is a Research Manager of the State Agency of Research (Agencia Estatal de Investigación, AEI) of the Ministry of Science and Innovation of Spain. She supervised 24 PhD students and published more than 100 SCI journal publications and 250 international chapters and proceedings. Petia Radeva belongs to the top 2% of the World ranking of scientists with the major impact in the field of TIC according to the citations indicators of the popular ranking of Stanford.  Moreover, she was awarded IAPR Fellow since 2015, ICREA Academia’2015 and ICREA Academia’2022 assigned to the 30 best scientists in Catalonia for her scientific merits, received several international and national awards (“Aurora Pons Porrata”, Prize “Antonio Caparrós” ). ... More >>

 

Area: Image and Video Formation, Preprocessing and Analysis Raimondo Schettini University of Milano - Bicocca Italy

Brief Bio
Raimondo Schettini is a professor at the University of Milano Bicocca (Italy). He is head of the Imaging and Vision Lab. He has been associated with the Italian National Research Council since 1987, where he led the color imaging lab from 1990 to 2002. He has been a team leader in several research projects and published more than 300 refereed papers and eight patents about color reproduction, and image processing, analysis, and classification. He is a fellow of the International Association of Pattern Recognition for his contributions to pattern recognition research and color image analysis.

Area: Image and Video Formation, Preprocessing and Analysis Filippo Stanco Università di Catania Italy www.dmi.unict.it/fstanco

Brief Bio
Filippo Stanco received the degree in Computer Science from the University of Catania in 1999 with a thesis titled “Automatic Learning of Graphic Pattern” and he received the Ph.D. degree in Computer Science from the University of Catania in 2003 with a thesis titled "Image Enhancement Techniques: Zooming and Super Resolution". From 2003 to 2005 he was research assistant at the University of Trieste on the project “Develop of an automatic system to restore antique photographic prints (SIRAD)” and from 2005 to 2006 he was Research Assistant at the University of Catania on “Image processing and computer graphics”. From 2006 to 2014 he is Assistant Professor (INF/01) with University of Catania. Since 2014 he is Associate Professor (INF/01) with the Department of Mathematics and Computer Science, University of Catania. He is the coordinator of the “Archeomatica project” (www.archeomatica.unict.it) to develop new digital tools for the archaeological research and the preservation of Cultural Heritage. His research interests include digital restoration, zooming, super-resolution, artifacts removal, interpolation, texture and GIS. He is President of the Bachelor Degree program at University of Catania.


Filippo Stanco has prepared the Italian version of the book “Digital Image Processing”. He is editor of the book “Digital Imaging for Cultural Heritage Preservation. Analysis, Restoration and Reconstruction of Ancient Artworks”, CRC Press. He is member of technical committee of the joint-lab between the STMicroelectronics and the University of Catania to research on “Image processing on Digital Devices”. He is member of the center of territorial Governance of the University of Catania and of the “Centro di Archeologia Cretese” (Cretan archaeological center).


He has published more than 100 papers in International journals and conferences. He is reviewer for several international journals, and he is a senior member of IEEE.


More info are available on www.dmi.unict.it/fstanco ... More >>

Area: Image and Video Understanding Mariella Dimiccoli Institut de Robòtica i Informàtica Industrial (CSIC-UPC) Spain https://www.iri.upc.edu/people/mdimiccoli/

Brief Bio
Mariella Dimiccoli is a tenured research associate at the Institut de Robòtica i Informàtica Industrial (IRII), a joint Research Center of the Spanish Council for Scientific Research (CSIC) and the Technical University of Catalonia (UPC). She holds a MSc degree in Computer Engineering from the Polytechnic University of Bari, Italy, and a PhD in Signal Theory and Communications from the Technical University of Catalonia, Spain. Prior to joining the IRII, she conducted research in several prestigious academic institutions within and outside Europe, including the Ecole Normale Supèrieure de Cachan (France), the Coll ège de France (France), the Computer Vision Center (Spain) and the University of Texas at Austin (US).

Throughout these experiences, her research interests have revolved around image and video understanding, using various methodological frameworks and exploring different application domains. Her current research interests lie in the areas of Machine Learning and Computer Vision with focus on representation learning and unsupervised approaches, both in structural and non-structural scenarios.
Her research output consists of more than sixty peer reviewed international publications, 2 best paper awards (IbPRIA 2017, ICIP 2019 top 10%), and several funded research projects.

She has been the recipient of several highly competitive and prestigious research fellowships, including a Marie Curie cofund fellowship in 2014, a Ramón y Cajal fellowship in 2018, a Humboldt fellowship for experienced researchers in 2022. In 2020 she has been nominated by the CSIC to join AcademiaNet - the expert database for outstanding female academics. ... More >>

Area: Image and Video Understanding Fabio Galasso Sapienza University of Rome Italy https://fgalasso.bitbucket.io/

Brief Bio
Prof. Fabio Galasso heads the Perception and Intelligence Lab at the Computer Science Department of Sapienza University in Rome (Italy), with the goal of fundamental research and innovation transfer in computer vision and machine learning. Prior to Sapienza, he also conducted research at the University of Cambridge (UK) and at the Max Planck Institute for Informatics (Germany). Research achievements include several national (German) and 2 international (European) funded research projects, the 1st place at the UA-DETRAC'17 international competition for vehicle detection and the 3rd place for vehicle tracking at UA -DETRAC'18. He has been area and industrial chair at top international conferences and co-organizer of international workshops.

Besides academics, Prof. Galasso founded and directed the Computer Vision Department at OSRAM (Munich, Germany), world-wide leader in photonics. He cared about the entire life cycle of ideas, from the creation of new value propositions to the implementation of prototypes and pilots. Innovation transfer achievements include pilot installations at large industrial partners such as Edeka and Vodafone and the creation of a new product, named VISN, which was awarded the 2019 IoT/WT Innovation World Cup, the 2019 Digital Champions Award, and the 2018 Deutscher Digital Award. He is inventor of 23 granted patents. ... More >>

Area: Motion, Tracking and Stereo Vision Sophia Bano University College London United Kingdom https://sophiabano.github.io/

Brief Bio
Sophia Bano is a Research Associate at the University College London (UK) where she is associated with the Surgical Robot Vision Group in the Centre for Medical Imaging Computing (CMIC) and Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS).
She received a Bachelor in Mechatronics Engineering and Master in Electrical Engineering degrees from the National University of Sciences and Technology, Pakistan. Following this, she secured the Erasmus Mundus Scholarship for the highly competitive MSc in Computer Vision and Robotics (VIBOT) programme run jointly by the Heriot-Watt University (UK), U niversity of Girona (Spain) and University of Burgundy (France) in which she achieved a distinction in 2011. This was followed, after an internship at the Imperial College London (UK), by a successful joint PhD in Interactive and Cognitive Environments in 2015, under the Erasmus Mundus Fellowship, from the Queen Mary University of London (UK) and Technical University of Catalonia (Spain). After completing her PhD in 2016, she joined the Computer Vision and Image Processing group at the University of Dundee (UoD) as a Post-
doctoral Research Assistant, before joining University College London in June 2018. Her fields of research include Computer Vision, Surgical Vision, Medical Imaging and Machine Learning, with a focus on semantic understanding and registration in videos. ... More >>

Area: Motion, Tracking and Stereo Vision Jun Sato Nagoya Institute of Technology Japan

Brief Bio
Jun Sato received Ph.D. degree from the University of Cambridge in 1997, and he is currently a professor at Nagoya Institute of Technology, Japan. He received the Best Scientific Paper Award at the British Machine Vision Conference in 1994 and 1997. He published more than 200 papers in journals and conference proceedings about 3D reconstruction, visualization and imaging. He is an associate editor of the International Journal of Computer Vision (IJCV).

Area: Mobile and Egocentric Vision for Humans and Robots Antonino Furnari University of Catania Italy http://www.antoninofurnari.it/

Brief Bio
Antonino Furnari is an Assistant Professor at the University of Catania. He received his PhD in Mathematics and Computer Science in 2017 from the University of Catania and authored one patent and more than 50 papers in international book chapters, journals and conference proceedings. Antonino Furnari is involved in the organization of different international events, such as the Assistive Computer Vision and Robotics (ACVR) workshop series (since 2016), the International Computer Vision Summer School (ICVSS) (since 2017), and the Egocentric Perception Interaction and Computing (EPIC) workshop series (since 2018) a nd the EGO4D workshop series (since 2022). Since 2018, he has been involved in the collection, release, and maintenance of the EPIC-KITCHENS dataset series, and in particular in the egocentric action anticipation and action detection challenges. Since 2021, he has been involved in the collection and benchmarking of the EGO4D dataset. He is co-founder of NEXT VISION s.r.l., an academic spin-off the the University of Catania since 2021. His research interests concern Computer Vision, Pattern Recognition, and Machine Learning, with focus on First Person Vision. More information is available at http://www.antoninofurnari.it/. ... More >>

Area: Mobile and Egocentric Vision for Humans and Robots Dimitri Ognibene Università degli studi Milano-Bicocca, Italy and University of Essex United Kingdom

Brief Bio
Dimitri Ognibene is Associate Professor of Human Technology Interaction at the University of Milan-Bicocca, Italy. His main interest lies in understanding how social agents with limited sensory and computational resources can adapt to complex and uncertain environments, how this can induce suboptimal behaviors such as addiction or antisocial behaviors, and how this understanding can be applied to real life problems. To this end it develops both neural and Bayesian models and applies them both in the physical field, e.g., robots, and virtual, e.g., social media, settings.

Before joining Milano Bicocca University, he was at the University of Essex as Lecturer in Computer Science and Artificial Intelligence from October 2017 having moved from University Pompeu Fabra (Barcelona, Spain) where he was a Marie Curie Actions COFUND fellow. Previously he developed algorithms for active vision in industrial robotic tasks as a Research Associate (RA) at Centre for Robotics Research, Kings’ College London. He developed Bayesian methods and robotic models for attention in social and dynamic environments as an RA at the Personal Robotics Laboratory in Imperial College London. He studied the interaction between active vision and autonomous learning in neuro-robotic models as an RA at the Institute of Cognitive Science and Technologies of the Italian Research Council (ISTC CNR). He also collaborated with the Wellcome Trust Centre for Neuroimaging (UCL) to study how to model exploration in the active inference modelling paradigm. He has been Visiting Researcher at Bounded Resource Reasoning Laboratory in UMass and at University of Reykjavik (Iceland) exploring the symmetries between active sensor control and active computation or metareasoning. He obtained his PhD in Robotics in 2009 from University of Genoa with a thesis titled “Ecological Adaptive Perception from a Neuro-Robotic perspective: theory, architecture and experiments” and graduated in Information Engineering at the University of Palermo in 2004. He is associate editor of "Cognitive Computation and Systems", handling editor of "Cognitive Processing", review editor for "Paladyn, The journal of Behavioral Robotics", "Frontiers Bionics and Biomimetics", and "Frontiers Computational Intelligence in Robotics", guest associate editor for "Frontiers in Neurorobotics", "Frontiers in Cognitive Neuroscience" and section "Systems & Control Engineering" of Electronics published by MDPI. He has been chair of the robotics area of several conferences (e.g. VISAPP) and workshops. ... More >>

Area: Applications and Services George Azzopardi University of Groningen, Netherlands and University of Malta Malta http://www.cs.rug.nl/~george

Brief Bio
George Azzopardi is an associate professor in pattern recognition at the University of Groningen in the Netherlands. He is the coordinator of the Applied AI theme of the Jantina Tammes School of Digital Society, Technology and AI. Prof Azzopardi earned a BSc degree (Hons) from Goldsmiths College, an MSc degree from Queen Mary University of London, and a PhD degree (cum laude) in computer science from the University of Groningen in 2013. Prof Azzopardi has (co-) authored over 90 peer-reviewed publications and has successfully (co-) promoted 7 PhD candidates. His research spans brain-inspired pattern recognition, i mage processing, machine/deep learning, and information retrieval, with application to medical, forensic and radioastronomy image analysis. His work led to him being a co-recipient of the Ben Feringa Impact Award from the University of Groningen in 2023 and the ENLIGHT Impact Award from the ENLIGHT European University in 2024. Currently, Prof Azzopardi serves as associate editor for the Q1 journal, Pattern Recognition. ... More >>

Area: Applications and Services Keiji Yanai The University of Electro-Communications, Tokyo Japan

Brief Bio
Dr. Keiji Yanai is a professor at Department of Informatics, the University of Electro-Communications, Tokyo. His recent research interests include object recognition, Web multimedia processing, social media mining, and food-related multimedia processing. Especially, he has been working on food image recognition since 2008 and created one of the major food image datasets, UEC-FOOD 100/256. He served as conference/workshop organizing members including a general co-chair of IEEE MIPR2021, a technical program co-chair of ACM ICMR 2018 and a co-organizer of MADiMa, and as TPC members/reviewers in major conferences and journals in the multimedia and computer vision field. ... More >>

 

Sandro Spina University of Malta Malta

Brief Bio
Sandro Spina is a lecturer at the Department of Computer Science, University of Malta. He has completed his Ph.D. at the University of Warwick and his undergraduate studies at the University of Malta. His main research interest is computer graphics in particular high-fidelity rendering, scene acquisition and understanding. He is also interested in the development of serious games through collaborations with researchers from a variety of disciplines. He currently forms part of the Computer Graphics and Visualisation Group set up at the Faculty of ICT.

Keith Bugeja University of Malta Malta

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