Have a 20+ years of work experience on multimedia, computer vision and AI. Marco has been involved in several European and national collaborative projects. He was Program co-Chair of ACM Multimedia 2023. He is co-founder of Small Pixels, an academic spin-off working on visual quality improvement based on AI.
Expertise keywords
Image and Video Generation | Multimedia Analysis and Understanding
Massimo is an AI and Blockchain Expert at NEVA SGR, a prominent venture capital firm in Italy. Massimo is a board advisor and consultant for international organizations, start-ups, central banks, and corporates. After working in international financial markets for 20 years as a Senior equity banking analyst, Massimo worked as a fintech and international finance university professor in Rio de Janeiro, Brazil, Turin, Italy, and Wuhan, China. Massimo is a regular keynote speaker at many international conferences and webinars. Massimo is Senior Expert and Advisor in fintech and blockchain in finance. For several international organizations, i.e., United Nations Centre for Trade Facilitation and Electronic Business (UN/CEFACT)-UNECE Italy, etc. Massimo lived in Europe, China, the USA, and South America and is fluent in Italian, English, and Portuguese. Massimo regularly gives interviews in the international press on AI, Metaverse, NFTs, blockchain, alternative data issues.
Expertise keywords
Artificial Intelligence | Blockchain | Machine Learning
My research work addresses news analysis by using advanced AI tools, with a particular focus on devising natural language pipelines that include different techniques (named entity recognition, named entity linking, aspect-based sentiment analysis, etc.) needed for a thorough analysis of news. The application of these techniques provides interesting insights that combine objective and subjective dimensions for different groups of stakeholders, such as social and political scientists, journalists, editors, and citizens. They can assess potential demographic or political biases in news and integrate them into their analyses.
Expertise keywords
Artificial Intelligence | Natural Language Processing | News Analysis | Sentiment Analysis
Hannes Fassold received a MSc degree in Applied Mathematics from Graz University of Technology in 2004. Since then he works at Joanneum Research, where he is currently a senior researcher at the Intelligent Vision Applications Group of the Digital institute. His main research interests are how to employ machine vision and AI methods successfully to solve real-world problems like image and video enhancement, defect inspection, object detection and tracking and so on.
Expertise keywords
Image Processing | Video Processing | Natural Language Processing | Deep Learning
My research is in the area of Human Centered Machine Learning, using Machine Learning, Computer Vision and Signal Processing methodologies to learn from multiple sources concepts that enable Intelligent Systems to understand, communicate and collaborate with humans. Currently it evolves around three themes: Learning to recognise behaviour, emotions and cognitive states of people by analysing their images, video and neuro-physiological signals Learning across modalities, and in particular at the intersections of language and vision, using large, pretrained language and audio-visual models Learning from generative models and learning to control generation for privacy, interpretability and control purposes. I have more than 300 publications in the most selective Journals and conferences in the field of Computer Vision. I am (or have been) associate editor in the journals of Pattern Recognition; Computer Vision and Image Understanding; Image and Vision Computing, and area chair or in the programme committee of all the major conferences in the field. My research has been funded by the EPSRC, EU FP7, HORIZON 2020, InnovateUK, and direct bilateral collaborations with research institutes and the industry. I lead a team of around 15 PhD students and Postdoctorate researchers.
Expertise keywords
Machine Learning | Computer Vision | Affective Computing | Multimodal AI
Mike has been involved in and coordinated several European and national collaborative projects and is currently leading the international R&D collaborations at VRT. Mike is currently responsible manager for collaborative projects and partnerships in the Innovation team of VRT. He is also a co-chair of the NEM Initiative, a European Technology Platform for the media industry and a member of the programme committee of the EBU Data Technology Seminar.
Expertise keywords
Computer Science | Artificial Intelligence | Media Innovation | Project Management
I worked on the European projects 5G-CITY, 5G-TOURS, and currently on AI4MEDIA and XRECO. I chair the CG Animation group in the European Broadcasting Union (EBU) dealing with research and innovation on motion capture; I chair the Enhanced Video Coding (EVC) group in ‘Moving Picture, Audio and Data Coding by Artificial Intelligence’ (MPAI) dealing with Artificial Intelligence applied to video coding; I chair the Video evaluation group in EBU dealing with video quality assessment. I’m an active member of MPEG (Moving Picture Experts Group).
Expertise keywords
AI | Deep Learning | Video Compression | Virtual Production
Rémi is a researcher of the team “Analysis/Synthesis of Sound” within the STMS (Sciences et Technologies de la Musique et du Son) joined research laboratory funded by IRCAM, Sorbonne University, CNRS, and French Ministry of Culture. Rémi’s current research interest focuses on Digital Signal Processing and Artificial Intelligence for Music Information Retrieval and Music Sound Processing. This includes automatic labelling and indexing of music recordings, transformation and synthesis of musical instrument sounds.
Expertise keywords
Digital Signal Processing | Signal Modelling | Machine Learning | Music Information Retrieval | Sound Representation and Transformation
As a design researcher at VRT Innovation, I outline the needs and wishes of users towards new technologies and products. I strongly believe in Design Thinking as a methodology and apply this iterative process during several stages of an innovation project, ranking from generating ideas, developing concepts, prototyping to implementation. In order to understand and engage the user in this process as much as possible, this is often paired with co creation sessions and workshops. The main focus of my current work is disinformation and AI.
Dr. Ioannis Kompatsiaris is the Director of CERTH-ITI and the Head of Multimedia Knowledge and Social Media Analytics Lab. His research interests include ML and AI for multimedia, big data and social media analytics, semantics, HCI (AR and BCI), eHealth, security and culture applications. He is the co-ordinator of the “AI4Media: Artificial Intelligence for the Society and the Media Industry” NoE.
Expertise keywords
ΑΙ/ML for Multimedia | Semantics (multimedia ontologies and reasoning) | Social Media and Big Data Analytics | Multimodal and Sensors Data Analysis | Human Computer Interfaces | e- Health | Cultural, Media/Journalism and Security applications
He is a tenured professor of information technology with Politehnica University of Bucharest (UPB), Romania, and leader/founder of the AI Multimedia Lab. He holds a double PhD in video processing from UPB and University of Savoie, France. His research interests cover Artificial Intelligence algorithms, i.e., machine learning, deep learning, information retrieval, for various multimedia applications. He authored/co-authored so far over 240 scientific publications. He serves/served as reviewer for top tier journals and conferences, as associate editor for the ACM Transactions on Multimedia Computing, Communications, and Applications, as lead editor for the Springer books on Fusion in Computer Vision and Human Perception of Visual Information, as guest editor for journal special issues, as conference chair/committee, including general chair for the 14th IEEE/ACM International Conference on Content-based Multimedia Indexing CBMI 2016, the 17th ACM International Conference on Multimedia Retrieval ICMR 2017, and the 12th CLEF Conference and Labs of the Evaluation Forum 2021, as organizer/co-organizer of workshops, as lead organizer/co-organizer for several benchmark campaigns including the ImageCLEF Multimedia Retrieval in CLEF. He is a senior member of IEEE and member of SPIE, ACM, EURASIP and GDR-ISIS. He contributed to over 35 national/international research grants, strategic programmes, and industry projects with leading companies such as Keysight Technologies, NXP Semiconductors, Xperi/FotoNation, out of which, to 21 as principal investigator with over 36M Euros in funding. He also has a long-time experience in coordinating and managing educational and research groups, as director of the Doctoral School of Electronics, Telecommunications and Information Technology at UPB, as administrative coordinator of the CAMPUS Research Institute at UPB, as director of the Politehnica Research & Development and Innovation Institute, or as member of the National Council for Attestation of University Degrees, Diplomas and Certificates, and National Council for Ethics and Management in Higher Education, at the Ministry of National Education, Romania.
Expertise keywords
Multimedia Information Retrieval | Artificial Intelligence | Content-Based Description
Dr. Vasileios Mezaris is a Research Director with the Information Technologies Institute (ITI) of CERTH, in Thessaloniki, Greece. He is the Head of the Intelligent Digital Transformation (IDT) Laboratory of ITI, where he leads a group of researchers working on multimedia understanding and artificial intelligence.
Expertise keywords
Image/Video Analysis and Annotation | Multimedia Indexing and Retrieval | Deep Learning Architectures | Explainable AI | Green AI
I have participated in several EC funded and national research actions in the areas of Multimedia Information Retrieval, Artificial Intelligence, and Digital Libraries. The most recent: – I coordinate the Social and hUman ceNtered XR (SUN) project funded by the Horizon Europe Research & Innovation Programme – I am currently involved in the Horizon 2020 AI4Media project aiming at building a centre of excellence on AI and Media – I was involved in the Horizon 2020 AI4EU project aiming at building the European platform for Artificial Intelligence, funded by the EC – I was CNR scientific coordinator in the ADA project, co-funded by the EC and the Tuscany Region, under the ERDF program – I was Work Package leader in the EAGLE project, funded by the EC. – I was CNR Scientific Coordinator in the RUBICON project, funded by the EC under the FP7 program – I was Work Package leader in the BPN ASSETS project funded by the EC under the CIP programm – I was coordinator of the VISITO Tuscany project , co-funded by the EC and the Tuscany Region, under the ERDF program – I was Technical director of the Multimatch project, funded by the EC in the IST program.
Expertise keywords
Multimedia Information Retrieval | Artificial Intelligence | Deep Learning | Similarity Search
Georg has extensive experience in the application of AI and Machine learning technologies for media indexing, search, enrichment, analysis and restoration to the media and media preservation sector. He has been working in the field of intelligent solutions for media and media preservation for the last 30 years and has defined, won and managed a number of research projects in this area.
Expertise keywords
AI | Analysis | Preservation | Metadata | Enrichment
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 computing, affective computing, 3D imaging and biomedical imaging. He has published over 920 papers, contributed to 45 books in his areas of interest and edited or (co-)authored another 15 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 13 international journals and General or Technical Chair of 5 international conferences. He delivered 120 keynote/invited speeches worldwide. He co-organized 33 conferences and participated in technical committees of 291 conferences. He participated in 75+ R&D projects, primarily funded by the European Union and is/was principal investigator in 47 such projects. He is the coordinator of the Horizon Europe R&D project TEMA, AUTH principal investigator in H2020 R&D projects Aerial Core, AI4Media (one of the 4 H2020 ICT48 AI flagship projects) and Horizon Europe R&D projects AI4Europe, SIMAR. He is chair of the International AI Doctoral Academy (AIDA). He was chair and initiator of the IEEE Autonomous Systems Initiative. Prof. Pitas led the big European H2020 R&D project MULTIDRONE. He has 36500+ citations to his work and h-index 90+. According to Research.com he is ranked first in Greece and 319 worldwide in the field of Computer Science (2022).
Expertise keywords
Intelligent Digital Media | Image/Video Processing | Computer Vision
Anna has a background as a technological anthropologist and during her master’s degree in Denmark she became interested in the use and design of AI in the media sector – and particularly how qualitative decisions around AI are made during the processes of designing AI systems for media and the implications of these decisions. She explores these questions via different ethnographic projects, and have, among other, conducted fieldwork in the Media Museum in Amsterdam that uses AI in its exhibition and during the JournalismAI Academy for Small Newsrooms – a training programme for small newsrooms around the world on how to implement AI.
Before joining the University of Amsterdam, Anna completed her master’s degree in Techno-Anthropology at Aalborg University in Copenhagen and worked as a research assistant in the DataPublics project at Roskilde university. Previous to this Anna also studied journalism and worked as a press consultant in Denmark.
Expertise keywords
Responsible AI | Critical AI Studies | STS | AI and News | Interdisciplinary