AGENTICS PROGRAM CO-CHAIRS
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Kurosh Madani
University of Paris-EST Créteil (UPEC)
France
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Short Bio
Kurosh Madani is graduated in fundamental physics in June 1985 from PARIS 7 – Jussieu University. He received his MSc. in Microelectronics and chip architecture from University PARIS 11 (PARIS-SUD), Orsay, France, in September 1986. Received his Ph.D. in Electrical Engineering and Computer Sciences from University PARIS 11 (PARIS-SUD), Orsay, France, in February 1990. In 1995, he received the DHDR Doctor Hab. degree (senior research doctorate degree) from University PARIS 12 – Val de Marne. He works as Chair Professor in Electrical Engineering of Senart-FB Institute of Technology of University PARIS-EST Creteil (UPEC), France. Co-creator of Images, Signals and Intelligent Systems Laboratory (LISSI / EA 3956) of UPEC in 2005, head of Intelligent Machines & Systems” research team of LISSI, he is also Vice-director of this laboratory. He has worked on both digital and analog implementation of massively parallel processors arrays for image processing, electro-optical random number generation, and both analog and digital Artificial Neural Networks (ANN) implementation. His current research interests include: - Complex structures and behaviors modeling, - self-organizing, modular and hybrid neural based information processing systems and their real-world and industrial applications, - humanoid and collective robotics - intelligent fault detection and diagnosis systems. ... More >>
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Niki van Stein
LIACS, Leiden University
Netherlands
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Short Bio
Niki van Stein is Associate Professor of Explainable AI at the Leiden Institute of Advanced Computer Science (LIACS), Leiden University, where she leads the XAI research group. Her research sits at the intersection of explainable AI, automated algorithm design and metaheuristic optimization, with a particular focus on using large language models to automatically discover and improve optimization algorithms.
She is the lead developer of LLaMEA, an award-winning framework for LLM-driven algorithm evolution, and has broad experience applying these methods to real-world problems in engineering, predictive maintenance, and scientific design.
Alongside her research, she is active in the international evolutionary computation and AutoML communities as a conference organizer, program committee member and editorial board member. She holds a PhD from Leiden University and previously co-founded and led a software company as CTO, giving her a strong background in bridging academic research and industrial practice. ... More >>
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Niki van Stein
LIACS, Leiden University
Netherlands
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Short Bio
Niki van Stein is Associate Professor of Explainable AI at the Leiden Institute of Advanced Computer Science (LIACS), Leiden University, where she leads the XAI research group. Her research sits at the intersection of explainable AI, automated algorithm design and metaheuristic optimization, with a particular focus on using large language models to automatically discover and improve optimization algorithms.
She is the lead developer of LLaMEA, an award-winning framework for LLM-driven algorithm evolution, and has broad experience applying these methods to real-world problems in engineering, predictive maintenance, and scientific design.
Alongside her research, she is active in the international evolutionary computation and AutoML communities as a conference organizer, program committee member and editorial board member. She holds a PhD from Leiden University and previously co-founded and led a software company as CTO, giving her a strong background in bridging academic research and industrial practice. ... More >>
EXPLAINS PROGRAM CO-CHAIRS
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Kurosh Madani
University of Paris-EST Créteil (UPEC)
France
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Short Bio
Kurosh Madani is graduated in fundamental physics in June 1985 from PARIS 7 – Jussieu University. He received his MSc. in Microelectronics and chip architecture from University PARIS 11 (PARIS-SUD), Orsay, France, in September 1986. Received his Ph.D. in Electrical Engineering and Computer Sciences from University PARIS 11 (PARIS-SUD), Orsay, France, in February 1990. In 1995, he received the DHDR Doctor Hab. degree (senior research doctorate degree) from University PARIS 12 – Val de Marne. He works as Chair Professor in Electrical Engineering of Senart-FB Institute of Technology of University PARIS-EST Creteil (UPEC), France. Co-creator of Images, Signals and Intelligent Systems Laboratory (LISSI / EA 3956) of UPEC in 2005, head of Intelligent Machines & Systems” research team of LISSI, he is also Vice-director of this laboratory. He has worked on both digital and analog implementation of massively parallel processors arrays for image processing, electro-optical random number generation, and both analog and digital Artificial Neural Networks (ANN) implementation. His current research interests include: - Complex structures and behaviors modeling, - self-organizing, modular and hybrid neural based information processing systems and their real-world and industrial applications, - humanoid and collective robotics - intelligent fault detection and diagnosis systems. ... More >>
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Niki van Stein
LIACS, Leiden University
Netherlands
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Short Bio
Niki van Stein is Associate Professor of Explainable AI at the Leiden Institute of Advanced Computer Science (LIACS), Leiden University, where she leads the XAI research group. Her research sits at the intersection of explainable AI, automated algorithm design and metaheuristic optimization, with a particular focus on using large language models to automatically discover and improve optimization algorithms.
She is the lead developer of LLaMEA, an award-winning framework for LLM-driven algorithm evolution, and has broad experience applying these methods to real-world problems in engineering, predictive maintenance, and scientific design.
Alongside her research, she is active in the international evolutionary computation and AutoML communities as a conference organizer, program committee member and editorial board member. She holds a PhD from Leiden University and previously co-founded and led a software company as CTO, giving her a strong background in bridging academic research and industrial practice. ... More >>
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Pietro Ducange
University of Pisa
Italy
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Short Bio
Pietro Ducange received the M.Sc. degree in Computer Engineering and the Ph.D. degree in Information Engineering from the University of Pisa in 2005 and 2009, respectively. Currently, he is an associate professor of Information Systems and Technologies at the University of Pisa, Italy. He teaches Large Scale and Multi Structured Databases, Intelligent Systems and Big Data Management. He is a senior member of the AI-R&D research Group at the Department of Information Engineering. Moreover, he is a member of the Big Data, Cloud Computing and Cybersecurity Lab and of the Trustworthy and Embodied Intelligence Lab of the same department. His main research interests include explainable artificial intelligence, big data mining, social sensing and sentiment analysis. He has been involved in several R&D projects in which data mining and computation intelligence algorithms have been successfully employed. He has co-authored over 100 papers in international journals and conference proceedings. He organized several workshops, special sessions, tutorials and special issues on Trustworthy AI and its application in engineering fields. ... More >>
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Kurosh Madani
University of Paris-EST Créteil (UPEC)
France
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Short Bio
Kurosh Madani is graduated in fundamental physics in June 1985 from PARIS 7 – Jussieu University. He received his MSc. in Microelectronics and chip architecture from University PARIS 11 (PARIS-SUD), Orsay, France, in September 1986. Received his Ph.D. in Electrical Engineering and Computer Sciences from University PARIS 11 (PARIS-SUD), Orsay, France, in February 1990. In 1995, he received the DHDR Doctor Hab. degree (senior research doctorate degree) from University PARIS 12 – Val de Marne. He works as Chair Professor in Electrical Engineering of Senart-FB Institute of Technology of University PARIS-EST Creteil (UPEC), France. Co-creator of Images, Signals and Intelligent Systems Laboratory (LISSI / EA 3956) of UPEC in 2005, head of Intelligent Machines & Systems” research team of LISSI, he is also Vice-director of this laboratory. He has worked on both digital and analog implementation of massively parallel processors arrays for image processing, electro-optical random number generation, and both analog and digital Artificial Neural Networks (ANN) implementation. His current research interests include: - Complex structures and behaviors modeling, - self-organizing, modular and hybrid neural based information processing systems and their real-world and industrial applications, - humanoid and collective robotics - intelligent fault detection and diagnosis systems. ... More >>