IJCCI is a joint conference composed of three concurrent conferences: ECTA, FCTA and NCTA. These three conferences are always co-located and held in parallel. Keynote lectures are plenary sessions and can be attended by all IJCCI participants.

 

AI Researchers, Video Games are your Friends!

Brief Bio
Julian Togelius is Associate Professor in the Department of Computer Science and Engineering, New York University. He studied in Sweden and the UK and worked at universities in Switzerland and Denmark before moving to NYU. Julian's research focuses on AI for games and on games for AI (unsurprisingly, there is considerable synergy between these fields). He is well-known for his contributions to procedural content generation in games (for which he recently co-wrote the first textbook), automatic game design and general video game playing. He is active in organizing the CI/AI in games community, having chaired several of its conferences as well as the IEEE Computational Intelligence Society Games Technical Committee. In order to provide reliable game-based benchmarks for the community, he co-initiated several competitions that test the capabilities of AI methods, including the Simulated Car Racing Championship, the Mario AI Competition and the General Video Game Playing Competition. Several talented and competent individuals seem to like to work with Julian, which allows him to actually implement a fair number of his ideas; this has helped him and his team to score a handful of best paper awards at IEEE-, ACM- and AAAI-sponsored conferences.

 

 

Scalable Model based Evolutionary Multi-objective Optimization

Brief Bio
Yaochu Jin (Fellow, 2016) is currently a Distinguished Chair, Professor in Computational Intelligence, Department of Computer Science, University of Surrey, Guildford, U.K., where he heads the Nature Inspired Computing and Engineering Group. He was a “Finland Distinguished Professor” of University of Jyvaskyla, Finland, a “Changjiang Distinguished Visiting Professor”, Northeastern University, China, and “Distinguished Visiting Scholar”, University of Technology Sydney, Australia. His main research interests include data-driven evolutionary optimization, evolutionary learning, trustworthy machine learning, and morphogenetic self-organizing systems. Dr Jin is presently the Editor-in-Chief of the IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS and the Editor-in-Chief of Complex & Intelligent Systems. He was an IEEE Distinguished Lecturer and Vice President for Technical Activities of the IEEE Computational Intelligence Society. He was the General Co-Chair of the 2016 IEEE Symposium Series on Computational Intelligence and the Chair of the 2020 IEEE Congress on Evolutionary Computation. He is the recipient of the 2018 and 2021 IEEE Transactions on Evolutionary Computation Outstanding Paper Award, the 2015, 2017, and 2020 IEEE Computational Intelligence Magazine Outstanding Paper Award, and the Best Paper Award of the 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology. He was named by the Web of Science as “a Highly Cited Researcher” in 2019 and 2020. He is a Fellow of IEEE.

 

 

Perpetual Motion, Evolutionary Computation in Industry and other Chimeras

Brief Bio
Dr Anna I Esparcia-Alcázar holds a degree in Electrical Engineering (1993) from the Universidad Politecnica de Valencia (UPV), Spain, and a PhD (1998) from the University of Glasgow, UK. She has 20 years experience in developing and leading R&D projects & teams both in industry and academia. She is currently with the Research Center on Software Production Methods at the UPV. She is actively involved the field of Evolutionary Computation, which she has applied to areas as diverse as logistics and cybersecurity. She has earned the Evostar Award for Outstanding Contribution to Evolutionary Computation in Europe. She is an elect member of the Executive Committee of SIGEVO, the Special Interest Group of the ACM on Genetic and Evolutionary Computation, a Senior Member of the IEEE and a member of the ACM.

 

 

Evolving Fuzzy Systems - Fundamentals, Reliability, Interpretability, Useability and Applications

Brief Bio
Edwin Lughofer received his PhD. degree from the Department of Knowledge-Based Mathematical Systems, Johannes Kepler University Linz, where he is now employed as key researcher. During the past 10-12 years, he has participated in several research projects on European and national level. In this period, he has published around 130 journal and conference papers in the fields of evolving fuzzy systems, machine learning and vision, data stream mining, active learning, classification and clustering, fault detection and diagnosis, condition monitoring as well as human-machine interaction, including a monograph on ’Evolving Fuzzy Systems’ (Springer, Heidelberg) and an edited book on ’Learning in Non-stationary Environments’ (Springer, New York). He is associate editor of the international journals IEEE Transactions on Fuzzy Systems (IEEE press), Evolving Systems (Springer), Information Fusion (Elsevier) and Soft Computing (Springer), the general chair of the IEEE Conference on Evolving and Adaptive Intelligent Systems 2014 and Area chair of the FUZZ-IEEE 2015 conference in Istanbul. He serves as program committee member of several international conferences, and acts as a peer-reviewer for 20+ international journals. In 2006, he received the best paper award at the International Symposium on Evolving Fuzzy Systems, and in 2013 the best paper award at the IFAC conference in Manufacturing Modeling, Management and Control Conference (800 participants). He is currently key researcher in the national K-Project imPACts and the associated PAC network. He serves as key person in the K-Project HOPL and strategic research projects in collaboration with the Linz Center of Mechatronics (LCM)