جست‌وجوی استاد و پژوهشگر

• Evolutionary Algorithms
• Genetic Programming
• Semantic-Based Genetic Programming
• +۷ مورد دیگر

Dr. Edgar Galván is an Associate Professor in the Department of Computer Science at Maynooth University, Faculty of Science & Engineering. He holds a PhD in Computer Science from the University of Essex and has held senior research roles at institutions like University College Dublin and Trinity College Dublin. His research focuses on Evolutionary Algorithms, Genetic Programming, and their applications in optimization, games, and circular economy challenges. Education : PhD in Computer Science, University of Essex MSc (Hons) in Artificial Intelligence (Research), University of Veracruz BSc (Hons) in Computer Science, University of Veracruz Research Interests : Dr. Galván pioneers work in semantic-based Genetic Programming, neutrality and locality in evolutionary algorithms, and applications in combinatorial optimization and energy systems. He also explores AI-driven solutions for the circular economy, including material reuse and policy design. Grants & Projects : REBUILD (€449,879): Reimagining buildings as material banks for the circular economy (2024–2027) VISION (€149,874): Circular business models to reduce virgin material use in construction (2023–2026) Stochastic Bio-inspired Evolutionary Algorithms (€267,000): Dynamic optimization problems (2014–2017) Awards : Top 1% of researchers in Genetic Programming (UCL, 2020) Elected member of Mexico’s National Research System (2015) Marie Curie Fellowship (Irish Research Council, 2014) Professional Activities : Chair of ACM Genetic and Evolutionary Computation Conference committees, Programme Committee member for IEEE Congress on Evolutionary Computation, and Scientific Adviser for research councils in Ireland, France, and Mexico.

Sean Lukeمشاهده پروفایل

استاد

• Evolutionary Computation
• Genetic Programming
• Multi-agent Systems
• +۱۳ مورد دیگر

Sean Luke is a Professor in the Department of Computer Science at George Mason University (GMU) and serves as Associate Director of the Center for Social Complexity at the Krasnow Institute. He leads the GMU Evolutionary Computation Laboratory (ECLab) and is actively engaged in research at the intersection of artificial intelligence, evolutionary computation, and multi-agent systems. His work spans robotics, music technology, simulation, and knowledge representation. Position: Professor, Department of Computer Science, GMU Leadership: Associate Director, Center for Social Complexity Laboratory: ECLab – GMU’s Evolutionary Computation Laboratory Research Focus: Multi-agent systems, evolutionary algorithms, swarm robotics, computational creativity in music, agent-based modeling Sean Luke's research interests center on evolutionary computation, genetic programming, and multi-agent simulation. He has made foundational contributions to the development of MASON, a widely used Java-based multi-agent simulation toolkit, and ECJ, a general-purpose evolutionary computation framework. His work in computational creativity explores how AI can assist in music synthesis and patch design, culminating in the open-access textbook Computational Music Synthesis . He also investigates swarm robotics, human-agent collaboration, and optimization in complex systems such as supply chains. His most recent publications (2020–2024) reflect a strong trend toward interdisciplinary applications of AI and simulation. These include co-creative music systems, planner-guided robot swarms, and agent-based modeling for supply chain resilience. His work frequently appears in top venues such as GECCO, AAMAS, and IJCAI, and emphasizes open science through freely available software and textbooks. Sean Luke has mentored numerous students and researchers, including William Squires, Drew Wicke, Ermo Wei, and Matteo D'Auria, who have co-authored significant works in multi-agent learning, swarm robotics, and model calibration. He has also been involved in the RoboPatriots RoboCup team, demonstrating practical applications of AI in robotics competitions. Key Projects: MASON, ECJ, RoboPatriots, Computational Music Synthesis Open Resources: Essentials of Metaheuristics , Computational Music Synthesis Luke’s work is supported by a strong track record of publications and technical reports, with recent efforts focusing on improving fairness, scalability, and usability in AI systems. He continues to advance the state of the art in evolutionary algorithms and multi-agent learning, with a growing emphasis on real-world applications and human-AI collaboration.