Welcome to the EEE Computer Society Task Force on Adaptive and Evolving Fuzzy System
Artificial intelligence and computational intelligence have achieved remarkable advances in developing systems capable of learning complex patterns, extracting knowledge from data, and supporting intelligent decision-making. However, most conventional learning approaches still rely on predefined architectures, fixed learning strategies, and training procedures that assume relatively stable environments. As intelligent systems are increasingly deployed in real-world scenarios characterized by continuous data streams, uncertainty, evolving conditions, and unforeseen situations, there is a growing need to move beyond static learning paradigms towards systems capable of autonomously adapting, evolving, and improving throughout their operational lifetime.
Autonomous Learning Systems (ALS) aim to develop intelligent systems capable of continuously acquiring knowledge, adapting their internal representations, and modifying their own learning processes with minimal human intervention. Beyond conventional online and adaptive learning, these systems should be able to autonomously detect and respond to environmental changes, concept drift, and novelty, while dynamically adjusting their structures, parameters, and learning strategies. Achieving these capabilities involves fundamental challenges related to self-organization, self-adaptation, continual and lifelong learning, knowledge retention and transfer, and learning-to-learn mechanisms. Addressing these challenges requires integrating complementary approaches from computational intelligence, including neural networks, fuzzy systems, evolutionary computation, reinforcement learning, and evolving intelligent systems, towards the development of robust, efficient, and increasingly autonomous learning frameworks.
The IEEE CIS Task Force on Autonomous Learning Systems aims to bring together researchers and practitioners to advance the theoretical foundations, computational methodologies, and real-world applications of autonomous learning. The Task Force seeks to foster interdisciplinary collaboration, identify emerging research challenges, promote novel learning paradigms and evaluation methodologies, and facilitate knowledge exchange across the computational intelligence community. Through special sessions, workshops, tutorials, special issues, and collaborative initiatives, the Task Force will contribute to establishing a common research agenda and accelerating the development of the next generation of self-adaptive, self-organizing, and self-evolving intelligent systems.
Members

Plamen Angelov
Chair Task Force
School of Computing and Communications
University of Lancaster, UK
p.angelov@lancaster.ac.uk

José Antonio Iglesias
Vice-Chair Task Force
Department of Computer Science
Carlos III University of Madrid
Avda. Universidad, 30, Leganés. Madrid, Spain
jiglesia@inf.uc3m.es

Asim Roy
Department of Information Systems
Office: BA 304E, Arizona State University
Main Campus, PO BOX 874606, Tempe, AZ 85287-4606, USA
Email: asim.roy@asu.edu

Bernard Widrow
Electrical Engineering Department
Stanford University
350 Serra Mall, Room 273
Stanford, CA 94305-9510, USA
Email: widrow@stanford.edu

Bruno Sielly J. Costa
Informatics Department
Federal Institute of Rio Grande do Norte (IFRN)
Campus Natal/Zona Norte – Rua Brusque, 2926, Natal/RN, Brazil
E-mail: bruno.costa@ifrn.edu.br

Dimitar Filev
Ford Motor Company
24500 Glendale Ave
Detroit, MI 48239, USA
E-mail: dfilev@ford.com

Federico Montesino Pouzols
Department of Information and Computer Science
Aalto University School of Science
P.O. Box 15400, FI-00076 Aalto, Finland
E-mail: federico.montesinopouzols@helsinki.fi

Jose C. Principe
Electrical and Computer Engineering Department
Computational NeuroEngineering Laboratory, University of Florida
NEB 451, Bldg #33 University of Florida Gainesville, FL 32611, USA
E-mail: principe@cnel.ufl.edu

Marley B. R. Vellasco
Electrical Engineering Department
Pontifícia Universidade Catolica do Rio de Janeiro – PUC-Rio
R. Marquês S. Vicente 225 – Gavea, CXP 38063
CEP 22453-900 – Rio de Janeiro – RJ, Brazil
E-mail: marley@ele.puc-rio.br

Nicola Kasabov
KEDRI, Auckland University of Technology
Level 3, Duthie Whyte Building
120 Mayoral Drive, Cnr Mayoral Drive and Wakefield St
Auckland 1010, New Zeland
E-mail: nkasabov@aut.ac.nz

Radu-Emil Precup
Department of Automation and Applied Informatics
Faculty of Automation and Computers, Politehnica University of Timisoara
Bd. V. Parvan 2, 300223 Timisoara, Romania
E-mail: radu.precup@aut.upt.ro

Savitha Ramasamy
Institute for Infocomm Research
Agency for Science, Technology and Research (A*STAR)
Singapore – 138632
E-mail: ramasamysa@i2r.a-star.edu.sg

Ronald R. Yager
Machine Intelligence Institute
Iona College
New Rochelle, NY, USA
E-mail: yager@panix.com

Valeri Mladenov
Neurocomputing Laboratory,
Technical University of Sofia
Kl. Ohridski, blvd.8, Sofia 1000; Bulgaria
E-mail: valerim@tu-sofia.bg

Seiichi Ozawa
Graduate School of Engineering, Kobe University
Faculty of Engineering, Kobe University
1-1 Rokko-Dai, Nada-ku, Kobe 657-8501, JAPAN
E-mail: ozawasei@kobe-u.ac.jp
Activities
2026
Top activities in 2026:
Conference Organization:
- Organising IEEE Evolving and Adaptive Intelligent Systems (EAIS)-2026 in Pisa, 21-23 September 2026 (Link).
- Organised Special session on Deep Vision in Space, at the 2026 WCCI-IEEE International Joint Conference on Neural Networks, IJCNN-2026, Maastricht, the Netherlands, 21-26 June 2026.
- Organised Workshop W10-MOBILITY: Smart, Autonomous, Sustainable and Safe Mobility. IEEE CAI 2026 (IEEE Conference on Artificial Intelligence 2026). May 8-10, 2026. Granada, Spain (Link).
- Organised IEEE International Workshop on Pervasive and Resource-constrained AI, PerConAI within the IEEE Intern. Conf. on Pervasive Computing and Communications, PerCom 2026, Pisa, Italy, 20 March 2026 (Link).
- Special Sessions on Deep Models for Graph Generation and on Deep Vision, IJCNN 2026 (Link).
- Keynote talk, Bringing Learning from Data and Reasoning Closer to Facilitate Human Agency and Oversight, ELSA, 6 May 2026, Saarbrucken, Germany
- Invited Talk at European Space Agency (ESA), Frascati, Italy, 21 January 2026.
2025
Top activities in 2025:
Organizing Coferences:
- PerConAI 2025 workshop (5th International Workshop on Pervasive and Resource-Constrained Artificial Intelligence) March 17, 2025, in Washington D.C., USA, co-located with the IEEE PerCom 2025 conference.
- Workshop on DeepFakes 2025.
Special Issue:
- Special Issue at Evolving System Journal: Future Directions in Evolving Systems: Flexibility, Autonomy, and Real-World Applications (Guest Editors Dr. Igor Škrjanc, Dr. Pietro Ducange, Dr. Jose Antonio Iglesias Martínez, Dr. Rashmi Dutta Baruah) (Link).
Keynote:
- Keynote talk at NAFIPS 2025, Banff, Canada (Link)
Invited Talks:
-
JPL-NASA, 1 December 2025
-
University of Helsinki, Finland, 24 October 2025
2024
Top activities in 2024:
Conference Organizaation:
- IEEE International Conference on Evolving and Adaptive Intelligent Systems 2024. IEEE EAIS 2024 conference, Madrid, 23-24 May, 2024, 80+ papers (Link).
- CVPR Workshop and Competition on Deep Fakes, 17 June 2024 (Link).
- PerConAI2024 workshop within PerCom, Biarritz, France, 11-17 March 2024 (Link)
Keynote talk:
- At IJCNN/WCCI2024 (Link)
2023
Top activities in 2023:
Conference organization:
- Symposium on Evovling and Adaptive Learning Systems within the Symposium Series on Computational Intelligence, EALS-SSCI 2023, Mexico city, Mexico, 5-8 December, 2023.
- IEEE International Joint Conference on Neural Networks, IJCNN 2023, Gold Coast, Australia, 18-23 June 2023.
- The World Conference on eXplainable Artificial Intelligence(xAI 2023). Special Track: XAI in Automotive & Industrial Applications.
- EMEA Workshop and Systems Engineering Conference (WSEC) 2023, April 24th- 26th, 2023.
- 32nd International Conference on Artificial Neural Networks, ICANN 2023, Crete, Greece, 26-29 September 2023.
- 24th International Conference on Engineering Applciations of Neural Networks, EANN-2023/EAAAI-2023, León, Spain, 14-17 June 2023.
Keynote and invited talks:
- 24th International Conference on Engineering Applications of Neural Networks, EANN-2023/EAAAI-2023, Leon, Spain, 14-17 June 2023
Awards Chair:
- International Joint Conference on Neural Networks, IJCNN2023, Golden Coast, Australia.
Co-Chair of the Program/Technical Committee:
- Symposium on Evolving and Adaptive Learning Systems within the Symposium Series on Computational Intelligence, EALS-SSCI 2023, Mexico city, Mexico, 5-8 December 2023.
- IEEE Symposium on Computational Intelligence in Control and Automation (within IEEE SSCI).
- International Conference on Fuzzy Computation Theory and Applications (FCTA 2022), and of the International Conference on Neural Computation Theory and Applications (NCTA 2022).
- Annual Conference of the North American Fuzzy Information processing Society NAFIPS 2023.
Guest Editor:
- Special Issue in Machines which is published in the following link:
- Special Issue in Frontiers in Neurorobotics
- Special Issue in Computer Science and Information Systems
- Special Issue in ACM Transactions on Management Information.
2022
Top activities in 2022:
Conference Organization:
- IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2022, Larnaca, Cyprus, 25-27 May 2022.
Keynote and invited talks:
- 21st International Conference on Machine Learning and Applications, ICMLA 2022, 12-15 December 2022, Nassau, The Bahamas.
- 29th Intern. Conf. on Syst., Signals and Image Proc., IWSSIP’22, 1-3 June 2022, Sofia, Bulgaria.
Guest Editor:
- Special Issue “Control of Robotic Systems” in Machines Journal (MDPI).
- Special Issue “Neurorobotics explores Machine Learning” in Frontiers in Neurorobotics.
- Special Issue «Explainable Artificial Intelligence (XAI)“ in Applied Sciences Journal (MDPI).
Co-Chair of the Program/Technical Committee:
- 31st International Conference on Artificial Neural Networks (ICANN), 5-7 September 2022, Bristol, UK
- IEEE International Conference on Fuzzy Systems (FUZZ-IEEE-2022) within the World Congress on Computational Intelligence, WCCI2022, Padua, Italy, 18-23 July 2022
- International Joint Conference on Neural Networks (IJCNN 2022), Padua, Italy, 18-23 July 2022.
- International Conference on Fuzzy Computation Theory and Applications (FCTA 2022), Valletta, Malta, July 2022
- International Conference on Neural Computation Theory and Applications (NCTA 2022), Valletta, Malta, July 2022.
Tutorial presented at major international conferences:
- From Hyper-parametric towards Prototypes-based Deep Learning at IEEE Symposium Series on Computational Intelligence, SSCI2022, 4-7 December 2022, Singapore
Awards Chair:
- International Joint Conference on Neural Networks, IJCNN2023, Golden Coast, Australia.
Books:
- Plamen Angelov, Handbook in Computer Learning and Intelligence, 2nd edition, World Scientific, 2 volumes, 1000pp., 2022.
2021
Top activities in 2021:
Organized and chaired several conferences including:
- Special Session on «Complex Data: Learning Trustworthily, Automatically, and with Guarantees» @ ESANN 2021 (Bruges Bruges).
- IEEE Evolving and Adaptive Learning Systems (IEEE EALS-2021) @ SSCI 2021 (Orlando, FL, USA).
- Co-Chair: ELLIS Human-Centric Machine Learning Workshop, 10 May, 2021
Organized and chaired several conferences including:
- Chair: I Workshop on Artificial Intelligence for Development (AI4D), CAEPIA -Conference of the Spanish Association for Artificial Intelligence, (Malaga, Spain)
- Chair: NeurIPS Workshop on Human-Centred AI. Online.
- Chair: IEEE Symposium on Deep Learning at SSCI2021, Orlando.
New IEEE Standards:
- Proposed new IEEE Standard on Explainable AI (P2976) – Work Group formed and chaired
Books:
- Handbook on Computer Learning and Intelligence, World Scientific, 2021, to appear (2 volumes, 1000+ pages).
Journal Special Issues:
- «Explainable Artificial Intelligence (XAI)“, Applied Science, 2021
- “Machine learning for modelling and control of dynamic complex systems”, Journal of Franklin Institute, 2021.
- “Advances in Robots Trajectories Learning via Fast Neural Networks”, Frontiers in Neurorobotics, 2021.
- “Anticipatory Systems: Humans Meet Artificial Intelligence”, Frontiers in Psychology, 2021.
- «5G Mobile Networks for Future Smart City“, Sensors, 2021
- “Pattern recognition, optimization, neural computing and applications in smart city”, Computer Science and Information Systems 20,21
- “Neurorobotics explores Machine Learning”, Frontiers Research, 2021.
Talks:
- Keynote talk at the First Intern. Workshop on Deep Learning in Pervasive Computing (PerDL) within IEEE Intern. Conf. on Pervasive Computing, PerCom-2021, Kassel, Germany, 22-26 March 2021
- Invited talk at Facebook global (virtual), 17 May 2021.
- Talk at DLR (German Aerospace Agency) and TUM (Technical University of Munich) on Explainable AI – September 2021.
2020
Top activities in 2020:
Organized and chaired several conferences including:
- IEEE Conference on Evolving and Adaptive Intelligent Systems, Bari, Italy. May 27 – 29 2020.
- IEEE World Congress on Computational Intelligence (WCCI) 2020, 19-24 July, 2020. Glasgow (UK) – Special Session on Explainable Deep Neural Networks.
- AIAI 2020. 16th International Conference on Artificial Intelligence Applications and Innovations. Porto Carras Grand Resort, Halkidiki, Greece. 5 – 7 June, 2020.
Keynote Talks:
- IEEE Conference on Evolving and Adaptive Intelligent Systems, Bari, Italy. May 27-29 2020.»EDGE: Explainable-by-Design Highly Efficient Deep Learning“
- IEEE WCCI – International Joint Confernce on Neural Networks. «Brain-Inspired Spiking Neural Network Architectures for Deep, Incremental Learning and Knowledge Evolution».
- ELLIS against Covid-19: «COVID-19 CT Scan Classification via Explainable Deep Learning»
- AIAI 2020. 16th International Conference on Artificial Intelligence Applications and Innovations. Porto Carras Grand Resort, Halkidiki, Greece. 5 – 7 June, 2020
- Joint Conference on Signals, Systems and Computers, CSSC-2020, 14-16 Dec. 2020, Bangkok, Thailand
- 19th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA-2020, 7-9 September 2020, Varna, Bulgaria
Special Issues:
- Special Issue in Applied Science: «Special Issue «Explainable Artificial Intelligence (XAI)“ September 2020.
- Special Issue in Neurocomputing: «Fast Learning of Neural Networks with Application to Big Data Processes».
- Special Issue in Frontiers in Neurorobotics: «Advances in Robots Trajectories Learning via Fast Neural Networks».
Books-series co-Editor:
- Proceedings of the International Neural Networks: Angelov, Plamen & Kozma, Robert. ISSN: 2661-8141. The «Proceedings of the International Neural Networks Society INNS» publishes research contributions on fundamental principles and applications related to neural networks and modeling behavioral and brain processes.
2019
Top activities in 2019:
Organized and chaired several conferences including:
- EALS2019 within SSCI2019, Xiamen, China, 6-8 December 2019
- The International Joint Conference on Neural Networks 2019, Budapest, Hungary, 14-19 July 2019.
- International Conference on Fuzzy Systems, New Orleans, 23-26 June 2019 – Special Sessions:
- 2019 INNS Big Data and Deep Learning, 2019 , Sestri Levante, Genova, Italy, 16-18 Abril 2019.
- Recent Advances in Evolving Fuzzy Systems
Keynote Talks:
- International Conference on Engineering Applications of Neural Networks, EANN 2019, 24-26 May 2019, Grete, Greece
- 19th Annual Workshop on Computational Intelligence, UKCI2019, 4-6 September 2019, Portsmouth, UK
- IEEE International Conference on Innovations in Intelligent Systems and Applications, INISTA, Sofia, Bulgaria, 3-5 July 2019
- 15th International Conference on AI Applications and Innovations, AIAI and 20th Intern. Conference on Engineering Applications of Neural Networks, EANN 2019, Crete, Greece, 24-26 May 2019
Special Issues:
- IEEE Transactions on Fuzzy Systems – 15 May 2019.
Publicity Chair:
- The International Joint Conference on Neural Networks 2019, Budapest, Hungary.
- EALS2019 within SSCI2019, Xiamen, China.
Published books:
- Book-series co-Editor: Proceedings of the International Neural Networks: Angelov, Plamen Kozma, Robert. ISSN: 2661-8141. The «Proceedings of the International Neural Networks Society INNS» publishes research contributions on fundamental principles and applications related to neural networks and modeling behavioral and brain processes
- Advances in Information and Communication Technologies for Adapting Agriculture to Climate Change II. Proceedings of the International Conference of ICT for Adapting Agriculture to Climate Change II (AACC’18), November 22-24, 2018, Cali, Colombia. Editors: Plamen Angelov, José Antonio Iglesias, and Juan Carlos Corrales (Eds.)
- Advances in Physical Agents. Proceedings of the 19th International Workshop of Physical Agents (WAF 2018), November 22-23, 2018, Madrid, Spain Editors: Fuentetaja Pizán, R., García Olaya, Á., Sesmero Lorente, M.P., Iglesias, J.A., Ledezma Espino, A. (Eds.).
2018
Top activities in 2018:
Organized and chaired several conferences including:
- IEEE EAIS-2018, Rhodes, Greece, 25 -27 May 2018
- EALS2018 within SSCI2018, Bengaluru, India, 18 -21 November 2018
- IEEE International Conference on Fuzzy Systems (FUZZ-IEEE-2018) within the World Congress on Computational Intelligence, WCCI2018, Rio de Janeiro, Brazil.
- 3rd INNS Conference on Big Data and Deep Learning, 2018 , Bali, Indonesia.
- 9th International Conference on Big Data technologies and Applications, 2018, UK.
- WAF 2018 (Conference Workshop of Physical Agents), Madrid, Spain, 22-23 November, 2018.
- AACC 2018 (ICT For Adapting Agriculture To Climate Change 2018), Cali, Colombia, 2018.
Publication Chair:
- 19th International Conference on Engineering Applications of Neural Networks, EANN 2018, 3-5 Sept. 2018, Bristol, UK.
- INNS (International Neural Network Society) Conf. on Big Data and Deep Learning 2018, 18 – 19 April 2018 Sanur, Bali, Indonesia
Publicity Chair:
- IEEE EAIS-2018, Rhodes, Greece, 25 -27 May 2018
- EALS2018 within SSCI2018, Bengaluru, India, 18 -21 November 2018
- IEEE International Conference on Fuzzy Systems (FUZZ-IEEE-2018) within the World Congress on Computational Intelligence, WCCI2018, Rio de Janeiro, Brazil;
- 3rd INNS Conference on Big Data and Deep Learning, 2018 , Bali, Indonesia;
- 9th International Conference on Big Data technologies and Applications, 2018, UK
- WAF 2018 (Conference Workshop of Physical Agents), Madrid, Spain, 22-23 November, 2018.
- AACC 2018 (ICT For Adapting Agriculture To Climate Change 2018), Cali, Colombia, 2018.
Keynote Talks:
- IEEE EAIS-2018, Rhodes, Greece, 25 -27 May 2018
- WAF 2018 (Conference Workshop of Physical Agents), Madrid, Spain, 22-23 November, 2018.
Chair Session:
-
7th International Conference on Artificial Neural Networks (ICANN 2018), chair of the session Machine Vision/Image Processing
Books:
- Empirical Approach to Machine Learning. Authors: Angelov, Plamen Parvanov, Gu, Xiaowei. New efficient methods for pattern recognition and machine learning in data-rich environments. Chapter 5: Empirical Fuzzy Sets.
- Advances in Information and Communication Technologies for Adapting Agriculture to Climate Change. Proceedings of the International Conference of ICT for Adapting Agriculture to Climate Change (AACC’17), November 22-24, 2017, Popayán, Colombia. Editors: Angelov, Plamen, Iglesias, Jose Antonio, Corrales, Juan Carlos (Eds.)
- Advances in Physical Agents. Proceedings of the 19th International Workshop of Physical Agents (WAF 2018), November 22-23, 2018, Madrid, Spain Editors: Fuentetaja Pizán, R., García Olaya, Á., Sesmero Lorente, M.P., Iglesias, J.A., Ledezma Espino, A. (Eds.)
Books

Evolving Intelligent Systems: Methodology and Applications
By Plamen Angelov (Editor), Dimitar P. Filev (Editor), Nik Kasabov (Editor)
ISBN: 978-0-470-56996-2. April 2010. Wiley-IEEE Press. 464 pages

Autonomous Learning Systems: From Data Streams to Knowledge in Real-time
Author: Plamen Angelov

Handbook on Computational Intelligence
Edited by: Plamen Parvanov Angelov.
Handbook on Computational Intelligence, 900pp., World Scientific, 2016, ISBN: 978-0-470-28719-4, featuring F. Lewis, D. Dasgupta, P. Erdi, D. Filev, H.G. Zimmermann, N. Kasabov, C. Coello-Coello, F. Gomide, J. Kacprzyk, R. John, E. Lughofer, J. Abonyi, O. Castillo, P. Melin, etc.

Advances in Information and Communication Technologies for Adapting Agriculture to Climate Change.
Editors: Angelov, Plamen; Iglesias, Jose Antonio; Corrales, Juan Carlos.
Proceedings of the International Conference of ICT for Adapting Agriculture to Climate Change (AACC’17), November 22-24, 2017, Popayán, Colombia. Editors: Angelov, Plamen, Iglesias, Jose Antonio, Corrales, Juan Carlos (Eds.)

Intelligent Systems'2014
Editors: P. Angelov, K.T. Atanassov, L. Doukovska, M. Hadjiski, V. Jotsov, J. Kacprzyk, N. Kasabov, S. Sotirov, E. Szmidt, S. Zadrożny.
Proceedings of the 7th IEEE International Conference Intelligent Systems IS’2014, September 24‐26, 2014, Warsaw, Poland, Volume 1: Mathematical Foundations, Theory, Analyses.

Advances in Big Data
Editors: Plamen Angelov, Yannis Manolopoulos, Lazaros Iliadis, Asim Roy, Marley Vellasco
Proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece. Conference proceedings. 2017

Advances in Physical Agents.
Editors: Fuentetaja Pizán, R., García Olaya, Á., Sesmero Lorente, M.P., Iglesias, J.A., Ledezma Espino, A.
Proceedings of the 19th International Workshop of Physical Agents (WAF 2018), November 22-23, 2018, Madrid, Spain.

Advances in Information and Communication Technologies for Adapting Agriculture to Climate Change II.
Editors: Juan Carlos Corrales, Plamen Angelov, José Antonio Iglesias.
Proceedings of the 2nd International Conference of ICT for Adapting Agriculture to Climate Change (AACC’18), November 21-23, 2018, Cali, Colombia. Conference proceedings. 2019

Proceedings of the International Neural Networks Society
Editors: Plamen Angelov and Robert Kozma
The “Proceedings of the International Neural Networks Society INNS” publishes research contributions on fundamental principles and applications related to neural networks and modeling behavioral and brain processes.

