Find a HOST or SENDER institution among the profiles available for mobility
- Host
- Sender
Research Centre
CEA
Exchange interests -continual learning-transfer learning-deep fakes detection-user privacy-evaluation of AI systems
France
Organisation short profile
CEA-List brings together nearly 1,000 scientists, engineers, and technicians—all experts in smart digital systems. They are committed to developing high-added-value innovations that respond to the major challenges facing our economy and society.Our R&D programs address the Factory of the Future, digital twins, artificial intelligence, and digital trust. They are backed by innovation and tech transfer mechanisms designed to help our R&D partners stay competitive.CEA-List is one of three institutes of the CEA (French Alternative Energies and Atomic Energy Commission) Technology Research Division. It has sites in the innovation hubs of Paris-Saclay and Grenoble, France.
Availability
01/10/2022 - 31/08/2024
Type of Mobility
Hybrid (both physical + virtual)
Research Centre
Fraunhofer IDMT
Exchange interests We are interested in the following topics: audio manipulation and speech synthesis detection, music annotation, audio provenance analysis, bias and fairness in recommender systems, and secure federated learning.
Germany
Organisation short profile
The Fraunhofer Institute for Digital Media Technology IDMT is part of the the Fraunhofer-Gesellschaft, Europe´s largest organization for application-oriented research. The Fraunhofer IDMT is well known for its leading expertise in secure and efficient AI-based recognition and classification of audio and video data as well as for its audio, hearing and speech technologies. Together with its contracting partners Fraunhofer IDMT develops cutting-edge solutions consistently designed to meet user requirements and expectations. At the headquarters in Ilmenau and the Oldenburg branch, Fraunhofer IDMT employs over two hundred people working on the Institute’s research portfolio. More information: www.idmt.fraunhofer.de
Availability
From 01/04/2022 to 31/08/2024
Type of Mobility
Hybrid (both physical + virtual)
Company
modl.ai
Exchange interests Procedural content generation in games - AI game testing - User modeling - Game content evaluation - Game AI
Denmark
Organisation short profile
modl.ai (https://modl.ai/) delivers AI tools for video game studios. It combines profound knowledge from game development and machine learning to accelerate game development and enhance player engagement. Its mission is to make AI and machine learning widely available to the game industry by productizing the most useful AI methods and algorithms onto its platform, making it straightforward for game developers to implement them. Modl.ai’s current focus is on automating testing and content evaluation.
Availability
From 01/10/2021 to 01/09/2024
Type of Mobility
Virtual
University
Politehnica University of Bucharest
Exchange interests AI benchmarking and evaluation-as-a-service; learning with scarce data; deep fake detection; user perception of multimedia data.
Romania
Organisation short profile
UPB is the most prestigious technical university in Romania with a tradition of over 200 years. The AI Multimedia Lab is specialized in developing and benchmarking Artificial Intelligence algorithms, e.g., machine learning, deep learning, information retrieval, for various multimedia applications, such as surveillance & security, media, medicine, fintech, networking,to mention but a few. The lab was entrusted with various research grants (over 16, summing more than 20M Euro in funding), both national and international, strategic and research oriented, for academia and industry. The team is composed of 12 senior researchers, postdocs, and PhD students which are authors form over 200 publications in top tier journals and conferences.
Availability
25/10/2021 to 31/08/2024
Type of Mobility
Hybrid (both physical + virtual)
University
University of Florence
Exchange interests Deep Learning for Multimedia; Computer Vision; Machine Learning
Italy
Organisation short profile
The University of Florence is an important and influential centre for research and higher training in Italy, with 1,800 lecturers and internal research staff, 1,600 technical and administrative staff, and over 1,600 research assistants and doctoral students.It offers a wide range of study programmes at various levels and in all areas of knowledge.Over 130 Degree courses (First and Second Cycle, corresponding to Bachelor's and Master's Degrees) organised in 10 Schools, with a population of about 51,000 enrolled students, one-fourth of which come from outside of Tuscany.There are over 9,000 degrees awarded each year in Florence. According to the alumni data, the percentage of students who are in the workforce one year after their First Level degree is above national average.The University of Florence has a natural international vocation and the development of internationalization is one of its strategic priorities.It is one of the largest and most productive public research systems in Italy. This result is accomplished thanks to the number of permanent and temporary researchers working in a wide range of disciplinary and scientific fields, and the numerous junior scientists in training. It is also due to an intensive participation in research programmes of national and international relevance and to the significant scientific results achieved. External funds support the research and knowledge transfer activities. This combination of factors qualifies the Florentine institution as a modern research university and accounts for its excellent position in national and world rankings. Researchers at the University of Florence operate within 21 different departments and have at their disposal approximately 40 research structures comprising inter-departmental and inter-university centres as well as specialised research, knowledge transfer and advanced training centres.In recent years the University of Florence has increasingly consolidated its ventures in the field of knowledge transfer: from the filing of patents to the setting up of joint workshops with businesses, through to participation in spin-off companies.Knowledge transfer activities are coordinated by CSAVRI (Centro di Servizi di Ateneo per la Valorizzazione della Ricerca e la gestione dell'Incubatore universitario), the centre for the enhancement of research and management of the university's incubator.
Availability
01/10/2021 to 31/10/2022
Type of Mobility
Hybrid (both physical + virtual)
Broadcaster
VRT
Exchange interests Application of AI technologies for media production and consumption, such as (but not limited to) Natural Language Processing, Synthetic Media Generation, (Semi-)Automated Factchecking, Automated Metadata Extraction/Enrichment and Recommender Systems.
Belgium
Organisation short profile
The VRT is the public broadcaster of the Flemish Community in Belgium. It is geared towards all Flemings, in all their uniqueness and diversity. The VRT presents high-quality and distinctive content in the areas of information, culture, education, entertainment and sports. With its three television channels, five radio stations and various digital channels, the VRT reaches 90% of all Flemish people every week. In this way, the VRT can be relevant, have a social impact, contribute to a pluralistic debate and strengthen democracy. The VRT stimulates people to experience culture and language, and propagates the Flemish identity. The VRT is future-oriented and focuses on innovation and digitization. The broadcaster plays an important role in the Flemish media ecosystem and cooperates with numerous national and international partners from various fields.
Availability
From 01/09/2021 until 31/08/2024. Subject to internal approval.
Type of Mobility
Hybrid (both physical + virtual)
SME
Athens Technology Center
Exchange interests ATC's technical interests lie in the fields of web/mobile applications development, DevOps & CI/CD frameworks and tools, and AI-based technologies for the development of software and services for the media sector (NLP, big data analysis, data science, ML).
Greece
Organisation short profile
Athens Technology Center (ATC) is an Information Technology Company (founded in 1987) that offers solutions and services in specific business sectors, including Media, Banking, Utilities, and the Public Sector. Our solutions are developed on technologies for Content Management, Enterprise Software, Web and Mobile Applications. Of the primary commercial activities for ATC is the development of products and services for the media market, in which we have managed to penetrate in several EU countries, the Eastern Europe and the CIS countries, as well as the Balkans. NewsAsset, an end-to-end multimedia cross-channel solution for news agencies, broadcasters and publishers, is the leading edge of the company’s success story, offering commercial contracts both inside and outside Greece. Indicative major clients are the national news agencies of Greece, Portugal, Poland, Russia, Cyprus and Tunisia, along with many publishers in several EU countries. ATC's Innovation Lab that is involved in AI4Media shows more than 25 years of expertise in research and innovation. Our objective is to turn promising ideas into concrete and robust products for the sectors of commercial interest to ATC. Through intense and continuous involvement in cutting-edge research and innovation projects, we develop the next generation of commercial targets, exploiting state-of-the-art technologies. Being a technology partner, iLab has developed skills in modern software engineering techniques, like Agile prototyping, DevOps, CI/CD, and Model Driven Engineering, while we apply tools and methodologies for continuous integration, such as Maven, Hudson, Kubernetes, Sonar and Junit, in the integration of medium and large scale innovation projects.
Availability
15/01/2022 to 15/01/2024
Type of Mobility
Hybrid (both physical + virtual)
University
Université Côte d'Azur
Exchange interests Deep active learning and clustering for scarce dataExplainability and biases, federated learningHybrid symbolic and sub-symbolic modelsVR content understanding and streaming optimizationArgumentative analysis of political debatesExplainability for the analysis of political discourse
France
Organisation short profile
Université Côte d'Azur has been selected to be one of France's top 10 research-intensive universities. Its 3IA Côte d’Azur is one of the four Interdisciplinary Institutes for Artificial Intelligence created in France in 2019. Its ambition is to create an innovative ecosystem that is influential at the local, national and international level. The 3IA Côte d'Azur institute is led by Université Côte d'Azur and is supported by more than 62 companies and start-ups. Université Côte d'Azur encompasses 17 major higher-education and research institutions of the Sophia Antipolis and Nice area, including the legacy university as well as INRIA Sophia Antipolis, amongst others.
Availability
From 01/10/2021 to 31/08/2024
Type of Mobility
Hybrid (both physical + virtual)
Research Centre
Centre for IT & IP Law (CiTiP) - KU Leuven
Exchange interests In AI4Media CiTiP works on the analysis of the European Commission’s vision for Trustworthy AI, and the latest EU policy and regulatory developments in this field such as AI Regulation proposal and Digital Services Act proposal. We work on issues related to how the AI-driven tools can further enhance the democratic role of the media while at the same time respecting the European values, freedom, and rights including media pluralism and diversity, the right to freedom of expression, the right to privacy and data protection. We analyze the legal data protection framework for the use of AI applications in media sector i.e. the legal requirements for recommender systems. CiTiP also works on the legal issues around algorithmic content moderation, online platforms’ liability/responsibility for third party infringing and/or illegal content and gatekeepers’ accountability.
Belgium
Organisation short profile
The Centre for IT & IP Law (CiTiP) is a research center at the Faculty of Law of the University of Leuven (KU Leuven), with currently a staff of over 80 researchers specialized in legal and ethical aspects of IT innovation and intellectual property. Researchers working at the Centre for IT and IP Law focus on the fundamental re-thinking of the current legal framework, necessitated by the rapid evolution of technology in various fields, such as government, media, health care, informatics, digital economy, banking, transport, culture, etc. CiTiP has a solid track record as a law and ethics partner of large international and interdisciplinary research projects. It is internationally renowned for its expertise in the areas of Artificial Intelligence & Autonomous systems, Data Protection & Privacy, eHealth & Pharma, Ethics & Law, Intellectual Property, Media & Telecommunications and (Cyber)security.
Availability
1/09/2021 - 01/09/2024
Type of Mobility
Hybrid (both physical + virtual)
Research Centre
Fraunhofer IAIS
Exchange interests We welcome applicants to work with us on the following topics: a) Designing and implementing interfaces for AI modules, b) Building AI pipelines from such modules, c) Creating generic adapters to use these modules on different platforms. One focus of our work are services for analysing media files such as audio-to-text transcription, recognition of speakers, faces and entities, and categorization of news articles.
Germany
Organisation short profile
As part of the largest organization for application-oriented research in Europe, the Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS based in Sankt Augustin near Bonn is one of the leading scientific institutes in the fields of Artificial Intelligence, Machine Learning and Big Data in Germany and Europe. With its more than 300 employees, the institute supports companies in the optimization of products, services, processes and structures as well as in the development of new digital business models. Fraunhofer IAIS thus shapes the digital transformation of our working and living environment.
Availability
From 01/09/2021 to 31/08/2024
Type of Mobility
Hybrid (both physical + virtual)
Audiovisual Archive
Netherlands Institute for Sound and Vision
Exchange interests We are keen to work with researchers who would like to experiment with and apply AI-based technologies to large-scale audiovisual collections and web content (websites, social media). We are especially interested in research on bias detection, disinformation analysis and tracking, use of AI in journalism and digital humanities, AI for content discovery, and ethical questions associated with the use of these technologies.
Netherlands
Organisation short profile
The Netherlands Institute for Sound and Vision is the national institute for media culture in the Netherlands and a leading knowledge institute in the field of media culture and audiovisual archiving. We initiate research that makes media collections accessible, searchable and reusable. We provide tools for researchers and media professionals to access and investigate large-scale audiovisual collections. We collaborate with scientists and heritage professionals internationally and experiment with new technologies.
Availability
01/09/2021 to 01/09/2024
Type of Mobility
Hybrid (both physical + virtual)
Company
RAI - Radiotelevisione Italiana
Exchange interests Application of AI technologies in the whole media value chain: experimenting, extending and designing tools to efficiently support archiving, production, transmission and publication processes. Content understanding and segmentation, semantic tagging, video compression, recommender systems are example areas of application.
Italy
Organisation short profile
RAI - Radiotelevisione italiana is the Italian Public Service Broadcaster and Italy’s largest radio-televisionbroadcasting company. RAI was formed in 1954, year of the first analog national television channel, taking overthe former company which provided Radio services since 1924. The company played a major role in shapingthe country’s life and customs over the last decades. RAI offering include several television and radio channels,as well as online based services for the communication to the public. Besides audiovisual production andbroadcasting, RAI is depositary of the largest Italian television archive. RAI is a founding member of theEuropean Broadcasting Union and member of FIAT/IFTA organisation.The RAI – “Centro Ricerche, Innovazione Tecnologica e Sperimentazione” (CRITS) contributes to theevolution of the broadcasting and multimedia system and supports RAI in its choices in the technological fieldand the phases of experiment and introduction of new products and systems. The Centre is active in severalEuropean and National projects and co-operates with Universities and Industries for research activities, in thedefinition of new standards and the development of new services.
Availability
From 1/9/2021 until end of AI4Media (31/08/2024). Availability is however subject to internal approval of the procedures needed to implement the exchange.
Type of Mobility
Virtual
Research Centre
JOANNEUM RESEARCH
Exchange interests In AI4Media, JR works on new learning paradigms, distributed training and content-centered AI. We are interested to work with researchers who would like to research AI-based technologies for manifold learning, heterogeneous distributed training, joint optical flow & segmentation and few-shot object detection
Austria
Organisation short profile
JOANNEUM RESEARCH, headquartered in Graz, is a successful national and internationally active research institution owned by the Austrian federal states of Styria, Carinthia and Burgenland. Ideally embedded in the national and international innovation network, our researchers innovate in three high-level fields of expertise: “Information and Production Technologies”, “Human Technologies and Medicine”, and “Society and Sustainability”. We use our ideas, innovative power and considerable research experience to support companies both private and public not only with the development of technology, methods and products, but also with societal topics.
Availability
01/06/2022 to 01/01/2024
Type of Mobility
Physical
Research Centre
Consiglio Nazionale delle Ricerche
Exchange interests The CNR-ISTI researchers involved in AI4Media are active in a variety of topics at the crossroads of AI, machine learning, computer vision, textual and multimedia information retrieval, and text mining. Topics of particular interest are deep learning for computer vision, representation learning for text, transfer learning for cross-lingual text classification, learning to quantify, learning to count, technology-assisted review for “total recall” applications, probability calibration, sentiment analysis, authorship analysis for text.
Italy
Organisation short profile
Consiglio Nazionale delle Ricerche (CNR) is the largest public research institution in Italy, and is organized in departments and institutes. ISTI Istituto di Scienza e Tecnologie dell'Informazione (CNR-ISTI) is affiliated to the Department of Engineering, Information, Communication, Energy, and Transportation Technologies (DIITET) of CNR . ISTI-CNR is the largest CNR institute for Computer Science, with a staff of around 230 plus a fluctuating number of students, and is located in Pisa (Tuscany).
Availability
From 01/09/2021 to 31/08/2024
Type of Mobility
Physical
University
Aristotle University of Thessaloniki
Exchange interests We welcome applicants to work with us in the areas of :a) new learning paradigms (out-of-distribution detection, Increamental learning, transfer learning), b) Robustness and Privacy protection (adversarial robustness, adversarial attacks, tamper proofing), c) Media analysis, summarisation and media production (video summarization/captioning, autonomous UAV cinematography and,d) Social Media analytics (DNN-based opinion mining, polically-charged tweet analysis).Interested applicants should send their CV and a motivation letter to the contact person.
Greece
Organisation short profile
AUTH- AIIA Lab is an active research group working for more than one decade in digital media and related areas. Its topics of interest span the areas of semantic media analysis and description, computational intelligence, computer vision, digital image/video processing, parallel/distributed computing, human-centered interfaces, multimedia security/protection and biometrics/privacy protection. It has undertaken more than 72 R&D projects in those areas.
Availability
From 01/07/2021 to 31/08/2023
Type of Mobility
Hybrid (both physical + virtual)
Research Centre
Centre for Research and Technology Hellas
Exchange interests Video understanding (including annotation, event recognition) and summarization; Explainable AI, particularly for image/video understanding tasks; Deep network pruning and neural architecture search.
Greece
Organisation short profile
The Centre for Research and Technology-Hellas (CERTH), founded in 2000, is one of the leading research centres in Greece and listed among the TOP-20 E.U. research institutions with the highest participation in competitive research grants.
Availability
From 01/07/2021 to 31/8/2024
Type of Mobility
Hybrid (both physical + virtual)
University
Queen Mary University of London
Exchange interests Self and semi-supervised learning -- Controllable image/content generation -- Interpretable Machine Learning -- Affective computing -- Brain Computing. The team focuses on Deep Learning methodologies and welcomes collaborations and visitors at all levels (MSc, PhD, post-docs and senior researchers).
United Kingdom
Organisation short profile
QMUL is a Research intensive university, and is involved in the project through the Multimedia and Vision (MMV) group of the school of EECS. The team is led by Prof. Patras and Dr Tzimiropoulos and focuses on Machine Learning methodologies for extracting representations; learning from scarcely annotated data; and multimodal user affect and perception recognition.
Availability
01/09/2021 to 01/09/2024
Type of Mobility
Hybrid (both physical + virtual)
Research Centre
Centre for Research and Technology Hellas
Exchange interests We are interested in the area of online disinformation and media verification, including the problems of deepfake detection, media forensics, multimedia retrieval, disinformation analysis and propagation in social media. We welcome applicants of all experience levels (e.g. PhD student, post-doc, senior researcher). Interested applicants should send their CV and a motivation letter to the contact person.
Greece
Organisation short profile
The Centre for Research and Technology-Hellas (CERTH) founded in 2000 is one of the leading research centres in Greece and listed among the TOP-20 E.U. research institutions with the highest participation in competitive research grants. The host is the Media Verification team (https://mever.iti.gr/), part of the Multimedia Knowledge and Social Media Analytics Lab (https://mklab.iti.gr/) of the Information Technologies Institute, the largest CERTH institute.
Availability
From 01/09/2021 to 31/08/2024
Type of Mobility
Hybrid (both physical + virtual)
University
University of Trento
Exchange interests Image and video content generationHuman behavior understandingAffective computing and social signal processing
Italy
Organisation short profile
Multimedia and Human Understanding Group (MHUG), has significant experience and scientific expertise on the development of novelmachine learning approaches applied to multimedia content understanding and computervision. Furthermore, the team has a successful track record of publishing in the top computer vision and multimedia and in organizing scientific conferences and events. More details on the activities of MHUG are available online at http://mhug.disi.unitn.it/.
Availability
anytime
Type of Mobility
Hybrid (both physical + virtual)
Research Centre
IRCAM
Exchange interests In the context of AI4Media, the Analysis/Synthesis team of IRCAM is interested in 1) Sound synthesis of musical instruments and musical mixes, 2) Audio analysis of music recordings for: labelling, segmentation, transcription, etc. We are interesting in the development of advanced machine Deep Learning approaches to achieve these tasks.
France
Organisation short profile
IRCAM (Institut de Recherche et de Coordination Acoustique/Musique), is one of the world largest public research centers dedicated to both musical expression and scientific research. The seven research teams of the STMS Lab UMR 9912 of IRCAM conduct multi-disciplinary research into Music and Sound. This includes acoustics, digital audio signal processing, computer science (IA and machine learning, real-time systems, man-machine interfaces, languages, multimedia databases), auditory and music perception and cognition, musicology.
Availability
Availability [From 01/10/2021 to 01/09/2024]
Type of Mobility
Hybrid (both physical + virtual)
University
Institute of Digital Games, University of Malta
Exchange interests - Generative systems in games and beyond - Procedural content generation - User modelling and affective computing within and beyond games - Gameplaying AI agents and AI-based testing - Games as a testbed for advancing AI - AI as a tool for advancing games
Malta
Organisation short profile
The University of Malta (UM) is the highest University in Malta. There are some 10,000 students including over 750 foreign/exchange students from nearly 80 different countries, following full-time or part-time degree and diploma courses. UM has been involved in numerous FP and H2020 projects as partner or coordinator.The Institute of Digital Games (IDG) (http://game.edu.mt) was established in 2013 and houses a multi-disciplinary research group with backgrounds from Computer Science (specifically AI and HCI), the Arts, and the Humanities. The group performs basic and applied research, approaching games from a variety of perspectives, many of which focus on AI, interaction design, computer-aided design, serious and persuasive game design, user (cognitive and affective) modelling, procedural content generation and player experience modeling. The institute is currently the 8th most active technical game research centre worldwide (1st in continental Europe) according to the IREG inventory of rankings; its MSc in Digital Games is placed on the 17th place of the top game design programs worldwide, according to the Princeton Review.
Availability
From 01/10/2021
Type of Mobility
Hybrid (both physical + virtual)
Research Centre
Idiap Research Institute
Exchange interests We are interested in human-centered approaches to design privacy-preserving methods for media analysis, and to understand disinformation in news and social media
Switzerland
Organisation short profile
AI research in social computing, human-centered AI, social media, computer vision, NLP, speech
Availability
01/09/2021 to 01/06/2024
Type of Mobility
Hybrid (both physical + virtual)
Hannes Mareen
Exchange interests Multimedia forensics, media verification, synthetic media detection, image and video forgery detection.
Belgium
Organisation short profile
Post-doc researcher on multimedia forensics, security & compression.
Availability
01/02/2024 to 31/05/2024
Type of Mobility
Physical
Lucian Gruia
Exchange interests Continual Learning, NLP, Generative AI, Multimodal Chatbots
Romania
Organisation short profile
I am PhD student with Doctoral School of Electronics, Telecommunications & Information Technology, University Politehnica of Bucharest, working on multimodal chatbots technology at AI Multimedia Lab.
Availability
01/02/2024 to 30/04/2024
Type of Mobility
Hybrid (both physical + virtual)
Dr. Sandeep Singh Sengar
Exchange interests Computer Vision, Medical Image Analysis, Deep Learning
United Kingdom
Organisation short profile
Dr. Sandeep Singh Sengar is a Lecturer in Computer Science at Cardiff Metropolitan University, United Kingdom. He also holds the position of Cluster Leader for Computer Vision/Image Processing at this place. Before joining this position, he worked as a Postdoctoral Research Fellow at the Machine Learning Section of the Computer Science Department, at the University of Copenhagen, Denmark (a ranked #1 university in Denmark). He completed his Ph.D. degree in Computer Vision at the Department of Computer Science and Engineering from the Indian Institute of Technology (ISM), Dhanbad, India, and an M. Tech. degree from Motilal Nehru National Institute of Technology, Allahabad, India. He is also a Fellow of HEA, a Senior Member of IEEE, and a Professional Member of ACM. Dr. Sengar’s broader research interests include Machine/Deep Learning, Computer Vision, Image/Video Processing, and its applications. He has published several research articles in reputable international journals and conferences. He is an Editorial Board Member, Guest Editor, and Reviewer at reputed International Journals. He is a reviewer of research grants at EPSRC and Cardiff Met. He has also served as an Organizing Chair, Distinguished Guest, Publicity Chair, Publication & Technical Chair, and Committee Member (Steering, International Advisory, Scientific, and Technical Program) at reputed International Conferences. In addition to these, he has also given many expert talks at reputed organizations and International Conferences.
Availability
13 April to 30 April 2023 and 20 May to 15 August 2023
Type of Mobility
Hybrid (both physical + virtual)
Georgios N. Yannakakis
Exchange interests Artificial Intelligence in Games, Affective Computing, Generative AI in Games,Computational Creativity, Game Design and Development
Malta
Organisation short profile
Georgios N. Yannakakis is a Professor and Director of the Institute of Digital Games, University of Malta, and a co-founder of modl.ai. He received the Ph.D. degree in Informatics from the University of Edinburgh in 2006. He does research at the crossroads of artificial intelligence, computational creativity, affective computing, advanced game technology, and human-computer interaction. He has published more than 300 papers in the aforementioned fields and his work has been cited broadly. He is currently the Editor in Chief of IEEE TRANSACTIONS ON GAMES and an Associate Editor of IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION. Among the several awards he has received for journal and conference publications he is the recipient of the IEEE Transactions on Affective Computing Most Influential Paper Award and the ACII 2017 Best Paper Award. He is a senior member of the IEEE
Availability
From 01/01/2022 to 31/12/2024
Type of Mobility
Hybrid (both physical + virtual)
Alexandru Georgian Caplea
Exchange interests Machine Learning and Artificial Intelligence
Romania
Organisation short profile
PhD candidate passionate about Artificial Intelligence and Machine Learning.
Availability
01/12/2022 to 31/03/2023
Type of Mobility
Virtual
Daniel Aláez Gómez
Exchange interests I am interested in deep neural architectures for semantic video analysis, especially for methods suitable for embedded implementation
Spain
Organisation short profile
PhD Student at the Public University of Navarre (UPNA). He obtained his BSc. & MSc. Aeronautical engineering degrees from the University of León. Currently works as a junior researcher with the Mathematical Engineering and Computer Science Department at the Public University of Navarre.
Availability
From 01/11/2022 to 01/12/2022
Type of Mobility
Physical
Rui Prada
Exchange interests Procedural Generation of Societies in Games, Social Cognition in AI, Game AI, Intelligent Virtual Agents, Affective Computing
Portugal
Organisation short profile
INESC-ID, “Instituto de Engenharia de Sistemas e Computadores: Investigação e Desenvolvimento em Lisboa” is a Research and Development and Innovation Organization (R&D+i) in the fields of Computer Science and Electrical and Computer Engineering. INESC-ID research impact is focused on four Thematic Lines to which it makes the more relevant contributions: digital transformation and citizenship, life and health technology, energy transition, and security and privacy.These four Thematic Lines promote synergies among the 11 scientific areas in order to address today’s societal challenges: Artificial Intelligence for People & Society; Automated Reasoning & Software Reliability; Communication Networks; Distributed, Parallel and Secure Systems; Graphics and Interaction; Green Energy & Smart converters; High Performance Computing Architectures and Systems; Human Language Technologies; Information & Decision Support Systems; Nano-Electronic Circuits & Systems; and Sustainable Power Systems. INESC-ID has been very active in participating in R&D+i projects within European Union research projects. This participation has covered all relevant programmes and instruments in the areas within which INESC-ID has expertise, from the more fundamental research to the applied one and encompassing training and strategic initiatives.
Availability
From 01/01/2022
Type of Mobility
Hybrid (both physical + virtual)
#8
Nicu Sebe
Exchange interests Computer Vision, Multimedia, Machine Learning
Italy
Organisation short profile
Nicu Sebe is a professor in the University of Trento, Italy, where he is leading the research in the areas of multimedia information retrieval and human-computer interaction in computer vision applications. He received his PhD from the University of Leiden, The Netherlands and has been involved in the past with the University of Amsterdam, The Netherlands and the University of Illinois at Urbana-Champaign, USA. He was involved in the organization of the major conferences and workshops addressing the computer vision and human-centered aspects of multimedia information retrieval, among which as a General Co-Chair of the IEEE Automatic Face and Gesture Recognition Conference, FG 2008, ACM International Conference on Multimedia Retrieval (ICMR) 2017 and ACM Multimedia 2013. He was a program chair of ACM Multimedia 2011 and 2007, ECCV 2016, ICCV 2017 and ICPR 2020. He is a general chair of ACM Multimedia 2022 and a program chair of ECCV 2024. Currently he is the ACM SIGMM vice chair, a fellow of IAPR and a Senior member of ACM and IEEE.
Availability
01/01/2022-31/12/2024
Type of Mobility
Physical
Gabriele Lagani
Exchange interests Hebbian learning represents a biologically inspired approach for neural network training. We propose to exploit features extracted from neural networks, trained with Hebbian approaches, in order to solve image retrieval tasks. Specifically, we aim to address the issue of learning with scarce data, sample efficient learning, and few/one shot learning. Since Hebbian approaches are unsupervised, they can take advantage of unabeled data. This suggests a semi-supervised learning scenario in which Hebbian pre-training on unsupervised samples is followed by supervised fine-tuning on labeled samples. The approach can be tested in various sample efficiency regimes, i.e. with increasing scarcity of labeled data, including regimes of few/one-shot learning. Finally, different variants of Hebbian methods, as well as different datasets, can be explored.
Italy
Organisation short profile
PhD student in Computer Science at University of Pisa, with a Master Degree in Computer Engineering. I am doing my research activity at CNR-ISTI. My research interests are focused on bio-inspired approaches to machine learning, in particular Hebbian learning and Spiking Neural Networks (SNNs). I have recently published a paper (https://doi.org/10.1016/j.neunet.2021.08.003) showing that Hebbian methods can be applied in a semi-sueprvised fashion in order to tackle the issue of learning from scarce data. I am currently exploring this research direction further, considering both other strategies to integrate bio-inspired methods with classical supervised methods, as well as applications of Hebbian learning to image retrieval tasks. I mainly use the Python programming language, and in particular the Pytorch library, but I am also comfortable with Java and C/C++.
Availability
01/05/2022 to 30/09/2022
Type of Mobility
Physical
Olga Papadopoulou
Exchange interests Integration of media verification and content moderation tools and services into UC1.
Greece
Organisation short profile
Olga Papadopoulou received her Diploma degree in Electrical and Computer Engineering from the Democritus University of Thrace (DUTH) in July 2012. Since April 2013, she is a research associate at Information Technologies Institute of Centre for Research and Technology Hellas (ITI-CERTH) and has participated in EU-funded research projects (ForgetIT, REVEAL, INVID, WeVerify). She co-authored several publications in international conferences. During the last years, she is working in the areas of machine learning, social network analysis, and information retrieval.
Availability
From 10/01/2022 to 30/06/2022
Type of Mobility
Hybrid (both physical + virtual)
Liviu-Daniel Stefan
Exchange interests Deep learning, machine learning, computer vision, multimedia information retrieval.
Romania
Organisation short profile
Liviu-Daniel Ștefan is a researcher with the AI Multimedia Lab, CAMPUS Research Institute, and a collaborator with the Faculty of Electronics, Telecommunications and Information Technology, Polytechnic University of Bucharest (UPB), Romania. His research interests cover deep learning for multimedia classification, and multimedia / video / image processing and analysis for various applications, e.g., video surveillance, medical diagnosis, etc. He has been a member of the organizing team for several benchmarking campaigns (e.g., ChaLearn ICPR Multimedia Information Processing for Personality & Social Networks Analysis Challenge), conferences (e.g., ACM ICMR 2017, ICPR workshops 2018, CLEF 2021) and part of the research team of several Romanian/EU funded research projects.
Availability
01/05/2022 to 01/12/2022
Type of Mobility
Virtual
Mihai Dogariu
Exchange interests Multimedia retrievalComputer visionGenerative neural netsUnsupervised learning algorithmsFew-shot learning
Romania
Organisation short profile
I am a PhD Candidate at University Politehnica of Bucharest. My thesis focuses on unsupervised deep learning and clustering algorithms and was carried out under the supervision of Prof. Bogdan IONESCU.My research interests consist of, but are not limited to:- Machine learning- Multimedia retrieval- Computer vision- Generative neural nets- Clustering techniques- Unsupervised learning algorithms
Availability
From 01/01/2021 to 31/12/2022
Type of Mobility
Virtual
Mihai Gabriel Constantin
Exchange interests Multimedia data processing, prediction of subjective properties of multimedia data (interestingness, memorability, etc.).
Romania
Organisation short profile
I have a Ph.D. from the Faculty of Electronics, Telecommunications and Information Technology, at University Politehnica of Bucharest, in multimedia data processing, under the title "Automatic analysis of the visual impact of multimedia data". I am a researcher and member of the AI Multimedia Lab, at the CAMPUS Research Center from University Politehnica of Bucharest, with research interests in multimedia processing, subjective properties of multimedia data, deep learning, ensemble learning and deep fusion. I participated in 10 national, european or industry-focused research projects, and authored 25 papers, including 4 Q1 journal articles.
Availability
01/07/2022 to 30/08/2022
Type of Mobility
Virtual
Sogol Haghighat
Exchange interests Self-supervised learning, Video understanding, Generalized feature extraction models, Knowledge transfer
Germany
Organisation short profile
I have completed a Master of Science in Autonomous Systems at Hochschule Bonn-Rhein-Sieg, Germany, in 2019. My main areas of study were deep learning as well as image and video analysis. Since 2020 I am working as a researcher at Fraunhofer IAIS, focusing on AI-based video content analysis. My main focus lies on video segmentation, key-frame extraction and object detection, using deep learning frameworks such as PyTorch and Tensorflow for implementations. I am currently working on building a PhD topic around self-supervised learning and looking into the use of more generalized feature extraction models, e.g., for knowledge transfer to down-stream tasks.
Availability
From 01/10/2021 to 31/08/2023
Type of Mobility
Hybrid
Alessio Molinari
Exchange interests In my stay at the University of Amsterdam I plan to collaborate with Prof. Evangelos Kanoulas (UofA) on themes related to the application of technology-assisted review (TAR) techniques to supporting the production of systematic reviews (SRs). TAR is a class of machine-learning-based techniques whose goal is to maximize the cost-effectiveness of human annotators who need to review (i.e., check the correctness of labels attributed by automatic classifiers to) a large set of textual documents. While TAR has had many application in the legal domain, there are still a number of problems that hinder their application to the production of SRs. In particular, we plan to extend MINECORE, an existing TAR framework based on joint risk minimization for multiple review criteria, to handling non-linear cost functions, an extension that is sorely needed for allowing the application of MINECORE to the world of SRs.
Italy
Organisation short profile
I have a MSc Degree in Digital Humanities from the University of Pisa (Italy), and I am now a 2nd year PhD student in Computer Science at the same university. The topic of my PhD work is risk-minimization algorithms for Technology-Assisted Review (TAR) and their application to textual documents. TAR systems are machine-learning-based, "human-in-the-loop" systems, whose main goal is that of minimizing the effort of reviewers (i.e., human annotators who need to check the correctness of labels attributed by automatic classifiers to a large set of textual documents) as well as maximizing the effectiveness of the review process. On this topic I have recently published a paper on the ACM Transactions on Information Systems journal (https://dl.acm.org/doi/10.1145/3433164). I have a good knowledge of the Python programming language (including libraries such as PyTorch, Scikit-Learn, Numpy, Pandas) as well as a good background in the Java, Golang, and C languages.
Availability
01/10/2021 to 1/03/2022
Type of Mobility
Physical
Fabio Valerio Massoli
Exchange interests Advance the state-of-the-art concerning Variational Quantum Algorithms especially related to the field of Quantum Neural Networks, through the formulation and implementation of techniques that allow realizing non-linear functions on quantum devices.The foreseen activity includes both a theoretical study as well as applications to Media.
Italy
Organisation short profile
I am a researcher with a strong passion for natural sciences. During my Ph.D. in particle physics, I worked mainly on data analysis and statistical modeling of Dark Matter interactions with ordinary matter. Then, I continued my research activity at the INFN for two years. Currently, my research is focused on two main topics, namely, Deep Learning and Quantum Computing. Concerning the former field, I am the principal investigator of several projects focused on adversarial attacks characterization, facial expression recognition, and anomaly detection. Regarding the latter research area, my activities are focused on a hybrid approach to solve optimization problems.
Availability
01/09/2021 TO 30/11/2021
Type of Mobility
Hybrid (both physical + virtual)
Alaa Elobaid
Exchange interests Alaa is interested in problems related to developing ensemble-based approaches for bias mitigation in classification, with special interest in Computer Vision tasks, among which DeepFake detection.
Greece
Organisation short profile
Alaa is an early stage researcher based in Thessaloniki, Greece at the MKLab of the Information Technologies Institute. He is conducting his research as part of the NoBIAS Initial Training Network on the topic of fairness in Artificial Intelligence (AI) classification methods. He will be developing ensemble approaches for the mitigation of bias in AI classification, which is expected to compete with or outperform single model approaches in terms of both fairness and accuracy.
Availability
01/01/2022 to 31/12/2023
Type of Mobility
Hybrid (both physical + virtual)
#18
Michail Kaseris
Exchange interests Deep learning, video analysis
Greece
Organisation short profile
Michail Kaseris obtained his MEng degree from the Electrical and Computer Engineering department of the Democritus University of Thrace in 2018 and his MSc degree in 2021 from the Electronic Engineering and Computer Science department of the Queen Mary University of London. He is currently pursuing his PhD degree in the Artificial Intelligence and Information Analysis laboratory in Aristotle University of Thessaloniki. His research interests include deep learning and video analysis.
Availability
From 04/06/2021 to 03/10/2021
Type of Mobility
Virtual