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Thomas Bäck
Leiden University
Netherlands
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Brief Bio
Thomas Bäck is professor of Computer Science at the Leiden Institute of Advanced Computer Science, Leiden University, Netherlands, since 2002.
He received his PhD in Computer Science from Dortmund University, Germany, in 1994, and was leader of the Center for Applied Systems Analysis at the Informatik Centrum Dortmund until 2000.
Thomas received the IEEE Computational Intelligence Society (CIS) Evolutionary Computation Pioneer Award for his contributions in synthesizing evolutionary computation (2015), was elected as a fellow of the International Society of Genetic and Evolutionary Computation (ISGEC) for fundamental contributions to the field (2003), and received the best dissertation award from the "Gesellschaft für Informatik" in 1995.
Thomas has more than 300 publications, as well as two books on evolutionary algorithms: Evolutionary Algorithms in Theory and Practice (1996), Contemporary Evolution Strategies (2013). He is co-editor of the Handbook of Evolutionary Computation and the Handbook of Natural Computing. Thomas is also Co-Editor-in-Chief of the Natural Computing Series (Springer) and the journal Theoretical Computer Science C (Elsevier), and editorial board member of various journals.
Thomas’ research interests are in foundations and applications of evolutionary computation, efficient global optimization, and multiple objective optimization. Much of his recent research also addresses optimization methods in machine learning, e.g., for hyperparameter optimization, as well as supervised and unsupervised machine learning for smart industry applications. ... More >>
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Niki van Stein
Natural Computing, Leiden University
Netherlands
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Brief Bio
Niki van Stein is a researcher in the Natural Computing Group of LIACS and manager of the applied data science lab. She received her PhD in Computer Science from Leiden University in 2018. Niki her research interests are in explainable AI, automated design of algorithms, global (Bayesian) optimization and neural architecture search.Niki van Stein is a researcher in the Natural Computing Group of LIACS and manager of the applied data science lab. She received her PhD in Computer Science from Leiden University in 2018. Niki her research interests are in explainable AI, automated design of algorithms, global (Bayesian) optimization and neural architecture search.
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Christian Wagner
University of Nottingham
United Kingdom
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Brief Bio
Christian Wagner received his Ph.D. in Computer Science in 2009 from the University of Essex, UK. He is currently a Professor of Computer Science at the University of Nottingham, and founding director of the Lab for Uncertainty in Data and Decision Making (LUCID). His research focusses on the capture, modelling & handling of uncertain data arising from heterogeneous data sources, with a particular emphasis on designing interpretable AI based decision support systems. In 2017, he was recognised as a RISE (Recognising Inspirational Scientists and Engineers) Connector by EPSRC. His work ranges from decision support in cyber security and environmental management to personalisation and control in manufacturing. He has led a series of research projects with partners from industry and government with an overall value of around £10m and co/developed multiple open source software frameworks, making cutting edge research accessible to research communities beyond computer science.
Dr Wagner is an Associate Editor of the IEEE Transactions on Fuzzy Systems journal, Chair of the IEEE CIS Technical Committee on Fuzzy Systems and Task Force on Cyber Security; elected member-at-large of the IEEE Computational Intelligence Society (CIS) Administrative Committee for 2018-2020. He is a General Co-Chair of Fuzz-IEEE 2021 in Luxembourg, Europe. ... More >>
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Jonathan Garibaldi
School of Computer Science, University of Nottingham
United Kingdom
http://www.cs.nott.ac.uk/~jmg/home.shtml
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Brief Bio
Prof Jon Garibaldi's main research interest is in the modelling of human decision making, primarily in the context of medical applications. His work to date has concentrated on utilising fuzzy logic to model the imprecision and uncertainty inherent in medical knowledge representation and decision making. This has been applied in areas such as classification of breast cancer, identification of Alzheimer's disease, and the assessment of immediate neonatal outcome. A particular interest is in the transfer of medical intelligent systems into clinical use and this has led to the study of methods of evaluating intelligent systems and mechanisms for their implementation. Prof Garibaldi also has an interest in generic machine learning, such as clustering, classification and optimisation, particularly when applied to the optimisation of decision making models, and in the study of adaptive and time-varying behaviour. ... More >>
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H. K. Lam
Department of Engineering, King's College London
United Kingdom
https://nms.kcl.ac.uk/hk.lam/HKLam/
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Brief Bio
H. K. Lam is a Reader from the Department of King's College London. His research interests include intelligent control, computational intelligence and machine learning. He has served as a program committee member, international advisory board member, invited session chair and publication chair for various international conferences and a reviewer for various books, international journals and international conferences. He was an associate editor for IEEE Transactions on Circuits and Systems II: Express Briefs and is an associate editor for IEEE Transactions on Fuzzy Systems, IET Control Theory and Applications, International Journal of Fuzzy Systems, Neurocomputing and Nonlinear Dynamics; and guest editor for several international journals. Besides, he is on the editorial board of many internal journals. He was named as a highly cited researcher and is an IEEE fellow.
He is a coeditor of two edited volumes: Control of Chaotic Nonlinear Circuits (World Scientific, 2009) and Computational Intelligence and Its Applications (World Scientific, 2012), and author/coauthor of three monographs: Stability Analysis of Fuzzy-Model-Based Control Systems (Springer, 2011), Polynomial Fuzzy Model Based Control Systems (Springer, 2016) and Analysis and Synthesis for Interval Type-2 Fuzzy-Model-Based Systems (Springer, 2016). ... More >>
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Marie Cottrell
Université Paris1
France
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Brief Bio
Pr. Marie Cottrell was born in Béthune (France) 1943. She was a student at the Ecole Normale Supérieure de Sèvres, and received the Agrégation de Mathématiques degree in 1964 ( with 8° place), and the Thèse d'Etat (Modélisations de réseaux de neurones par des chaînes de Markov et autres applications) in 1988.
From 1964 to 1967, she was a High School Teacher. From 1967 to 1988, she was successively an Assistant and an Assistant Professor at the University of Paris and at the University of Paris-Sud (Orsay), except from 1970 to 1973, on which she was a Professor at the University of Habana, Cuba. From 1989 to 2012, she was a full Professor at the University Paris 1 - Panthéon-Sorbonne. Since 2012, she is a Professor Emeritus.
She is a permanent invited professor at the University of Havana, a life member of the IEEE Society, an honorary member of the Cuban Society of Mathematics and Computation, an Honorary Doctor of the Aalto University School of Science and Technology and Doctor Honoris Causa of the University of Habana.
Her research interests include stochastic algorithms, large deviation theory, machine learning and computational intelligence, theory and algorithms for artificial neural networks, linear and non linear exploratory data analysis, non linear forecasting methods. Since 1986, her main work deals with artificial and biological neural networks, Kohonen maps and their applications in data analysis.
She is the author of about 140 publications in this field. She is regularly solicited as referee or international conference program committee member. She organized several international conferences. She was in charge of the laboratory SAMM (Statistics, Analysis, Multidisciplinary Modelization) at the University Paris 1 until 2012. ... More >>
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Faiyaz Doctor
University of Essex
United Kingdom
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Brief Bio
I am an academic, innovator and applied technology specialist with over 15 years of experience in the development and application of Artificial Intelligence (AI) techniques in research and commercial areas. Presently I am a Senior Lecturer (Associate Professor) with the School of Computer Science and Electronic Engineering at the University of Essex, U. K where I am founder and head the Intelligent Connected Societies Group, part of the Centre for Computational Intelligence and am member of the Intelligent Embedded Systems and Environments Group. I am also a Director at Interactive Coventry Ltd, steering committee member for the Creative Science Foundation and currently appointed as an Eastern Arc thematic champion for culture, connection and creativity in science and health.
Over the course of my career, I have worked in both industrial and academia developing and applying nature inspired Computational Intelligence (CI) approaches for human centred systems related to various real-world domains such as smart environments, elderly care, energy optimization, industrial automation, information analysis, decision-making simulation, control systems and affective computing. I am interested in the development of user and task centred intelligently orchestrated and context aware pervasive computing systems. I am particularly interested in explainable and approximate reasoning techniques based on type-1 and type-2 fuzzy systems, hybrid computational intelligence techniques for real world applications, intelligent agents and AI driven virtual, augmented, and mixed reality systems.
I have successfully led and co-led several projects funded through Innovate UK, Harvard University, and the Newton Fund. I am currently institutional lead on a project funded by the Royal Academy of Engineers on capacity building in sub-Saharan Africa and supervising several KTP projects with leading UK businesses. I have published over 80 papers in peer-reviewed international journals, conferences, workshops, books and have two patents. I am an associate editor of the IEEE Transactions on Fuzzy Systems and have guest edited several journal special issues most notably in the Journal of Ambient Intelligence and Smart Environments and the IEEE Transactions on Emerging Topics in Computational Intelligence and MDPI Remote Sensing. I am a fellow of the Higher Education Academy, member of the IEEE and serve on the IEEE Computational Intelligence Society’s Emergent Technologies Technical Committee. ... More >>