Payam Zahadat is a Lecturer at the IT University of Copenhagen in the Data, Systems, and Robotics department, affiliated with the Robotics, Evolution, and Art Lab and The Maritime Hub Robotics, Evolution and Artificial Life Lab . His research spans robotics, bioinspired computing, and collective decision-making. Research Interests : Swarm robotics and decentralized control Multi-scale feedback systems and distributed manipulation Biohybrid systems combining natural and artificial components Self-organization, self-repair, and adaptive morphogenesis Publication Trends include work on swarm intelligence, dynamic environments, and bioinspired solutions for autonomous systems. Projects involve collaborations like MOZART , FloraRobotica , and MUHMI-MOZART , focusing on embodied sensing, AI, and human-machine interfaces.
Tilmann Weber is a Professor for Natural Products Genome Mining and Associate Scientific Director at the Novo Nordisk Foundation Center for Biosustainability (Technical University of Denmark). His research bridges genetics, biochemistry, and bioinformatics to decode biosynthetic pathways and engineer microbes for novel natural product discovery. Key Contributions : Development of antiSMASH , BGC Atlas , and CRISPR-based tools for Actinomycetes . SDG Impact : His work aligns with UN Sustainable Development Goals for health, life sciences , and environmental sustainability . Research Themes : Focuses on genomic analysis of biosynthetic gene clusters , CRISPR-mediated metabolic engineering , and automated bioinformatics workflows for drug discovery. His group pioneered the elfamycin pathway elucidation and antiSMASH software suite . Recent Publications span Streptomyces systems biology , mass spectrometry languages , and pan-genomic approaches to redefine microbial chemical diversity. Scientific Recognition Clarivate Highly Cited Researcher (2020–2024) Recipient of Clarivate Analytics awards for top-cited work in antibiotic resistance and bioinformatics Advising & Grants : Supervises PhD students in omics-driven antifungal discovery , metagenomic approaches , and synthetic biology tools . Leads projects funded by Novo Nordisk Foundation and EU consortia.
Thomas James Booth is a Postdoctoral Researcher at the Novo Nordisk Foundation Center for Biosustainability at the Technical University of Denmark (DTU), working within the Natural Products Genome Mining and DTU Microbes Initiative groups. His research focuses on microbial genomics, particularly in Streptomyces and other actinobacteria, with applications in natural product discovery and biosynthesis. Dr. Booth's research interests span several interconnected areas in microbiology and genomics: Genome mining for biosynthetic gene clusters Phylogenetic analysis of actinobacteria Secondary metabolite biosynthesis Development of bioinformatics tools for microbial genomics Automation in microbial genetics His recent publications demonstrate a strong focus on Streptomyces genomics, with particular attention to pangenome analysis, phylogenetic methods, and the biosynthesis of specialized metabolites. His work bridges computational biology with experimental microbiology, developing tools like getphylo for phylogenetic analysis and ActinoMation for robotic conjugation of Streptomyces species. Dr. Booth has received recognition for his work, with multiple publications garnering significant attention in the scientific community: "A treasure trove of 1034 actinomycete genomes" has been cited 11 times and has 44 readers on Mendeley "Pangenome mining of the Streptomyces genus" has 34 readers and 7 citations His work on "Biosynthesis of the Azoxy Compound Azodyrecin" has 17 readers and 6 citations Dr. Booth serves as a supervisor for PhD research in "Experimental design for actinomycete engineering," demonstrating his role in mentoring the next generation of researchers in this field. His collaborative network spans multiple institutions and countries, reflecting the international nature of modern microbiology research.
Rudolf Hanel is an Associate Professor at the Medical University of Vienna and a faculty member at the Complexity Science Hub. His interdisciplinary research bridges theoretical physics, complex systems, medical imaging, and socio-economic modeling. He is deeply involved in advancing the foundations of statistical mechanics and non-equilibrium thermodynamics. His research interests include complex systems, non-equilibrium thermodynamics, information theory, medical robotics, and social physics. He investigates how systems evolve far from equilibrium, focusing on phase transitions, tipping points, and the emergence of structure. His work applies these principles to diverse domains such as firm dynamics, social cohesion, and pandemic response. The recent trend in his publications reveals a strong focus on generalized entropy, sample space reduction, network-based social modeling, and practical applications in public health. His articles span foundational physics, computational medicine, and socio-economic systems, reflecting a unifying framework of complexity science across disciplines. Thermodynamics of driven systems Generalized entropy and information theory Social fragmentation and homophily Pooled testing for pandemics Firm performance via information consumption Structure-forming systems Rudolf Hanel has received no explicitly mentioned scientific awards in the provided text. He has not been stated to advise any formal students, though he collaborates widely with researchers such as Stefan Thurner, Jan Korbel, and Peter Klimek. He has contributed to major interdisciplinary grants and projects, particularly through the Complexity Science Hub, including work on pandemic testing strategies and economic modeling. He is a key member of the Complexity Science Hub, where he collaborates on foundational and applied research in complex systems. The Hub serves as a central platform for his work in integrating physics-inspired models into social, biological, and economic systems.
Dirk Helbing is a Full Professor of Computational Social Science at the Department of Humanities, Social and Political Sciences at ETH Zurich, with an affiliation at the Department of Computer Science. He is also a member of the External Faculty at the Complexity Science Hub Vienna. His research integrates computational modeling, data science, and social theory to study complex socio-technical systems, with a focus on digital societies, smart cities, and democratic innovation. ETH Zurich – Department of Humanities, Social and Political Sciences Affiliate, Department of Computer Science, ETH Zurich External Faculty, Complexity Science Hub Vienna Former Affiliate Professor, TU Delft (Technology, Policy and Management) Helbing’s research spans computational social science, complexity science, urban sustainability, and digital democracy. He pioneered work in pedestrian and traffic modeling and expanded into socio-economic systems, agent-based simulation, and systemic risk. His team investigates topics such as digital governance, participatory budgeting, resilience, and ethical smart city design. He emphasizes interdisciplinary integration and real-world policy impact. The recent publications reflect a strong trend toward using AI, agent-based modeling, and data analytics to address urban challenges—particularly in traffic management, air quality monitoring, and participatory governance. His work increasingly focuses on ethical and democratic dimensions of technology, advocating for decentralized, inclusive, and resilient digital societies. Idee Suisse Award Honorary PhD, Delft University of Technology (2014) Helbing has advised numerous PhD and postdoctoral researchers and led major initiatives such as the FuturICT project and the doctoral program on Engineering Social Technologies at TU Delft. His research is supported by significant grants, including an ERC Advanced Investigator Grant. He has co-founded several interdisciplinary centers, including the Risk Center, the Decision Science Laboratory (DeSciL), and the Competence Center for Coping with Crises. He leads the Computational Social Science (COSS) group at ETH Zurich, which combines fundamental research with applied policy innovation. The team uses evolutionary game theory, simulations, and experiments to study collective behavior, cooperation, and societal transformation.
Andrés Faíña serves as an Associate Professor at the IT University of Copenhagen, Denmark, specializing in robotics and automation systems. His academic foundation stems from the University of A Coruña, Spain, where he earned advanced degrees in engineering disciplines. His educational credentials include: PhD in Mechanical and Electrical Engineering (2011), University of A Coruña MSc & BSc in Mechanical and Electrical Engineering (2006), University of A Coruña Research focuses on innovative robotic solutions with emphasis: Modular Robots for adaptable system design Evolutionary Robotics for autonomous development Liquid Handling Robots optimizing laboratory workflows Automatic Design of Robots enhancing engineering efficiency These interests converge in practical applications for laboratory automation and user-centric robotics. He co-founded Flow Robotics ( http://flow-robotics.com ), developing flexible liquid handling robots to automate pipetting tasks. Master's students are invited to explore project opportunities through his institutional portal. No scientific awards were documented in the source material.
Nicolas Hugo Bessone is a Research Fellow at the IT University of Copenhagen , affiliated with the Robotics, Evolution, and Art Lab . His research focuses on artificial intelligence, bio-inspired computation, and evolutionary robotics, with a particular emphasis on decentralized systems and emergent collective behavior. Fields of Interest : Artificial Intelligence, Bio-inspired computation, Collective behaviour, Decentralized systems, Emergence, Evolutionary algorithms, Evolutionary robotics He is currently involved in two European Commission-funded projects: MUHMI-MOZART (2024–2026) and MOZART (2022–2026). These projects explore multimodal human-machine interfaces, distributed manipulation, and reconfigurable systems through embodied sensing and AI.
Anders Lyhne Christensen is a Professor at the Maersk Mc-Kinney Moller Institute, University of Southern Denmark (SDU), where he serves as a Professor at both the SDU Drone Center and SDU Climate Cluster. His academic work focuses on robotics, swarm intelligence, and drone technology applications. His research interests center around swarm robotics and multi-robot systems, with particular emphasis on drone swarm applications for wildlife monitoring, search and rescue operations, and environmental conservation. His work bridges computer science, robotics engineering, and practical field applications, developing solutions that address real-world challenges through innovative swarm intelligence approaches. Professor Christensen's recent publications reveal a strong focus on practical drone swarm implementations, with research spanning wildlife monitoring systems, search and rescue operations, communication protocols for UAV swarms, and efficient pathfinding algorithms for multi-agent systems. His work demonstrates a consistent trajectory toward developing robust, field-deployable swarm robotics solutions. He actively contributes to major research projects including WildDrone (2023-2026), CloudBrain (2020-2023), and SpikeDrone (2018-2021), focusing on drone swarm applications for environmental monitoring and complex task execution. His teaching portfolio includes courses on Bio-inspired Autonomous Systems, Reinforcement Learning for Robotics, and introductions to robotics, computer vision, and artificial intelligence.
Guy Robert Yeoman Coleman is a Research Fellow in the Department of Plant and Environmental Sciences (Section for Crop Sciences) at the University of Copenhagen, focusing on plant physiology and agricultural technology innovation. His work bridges field-based phenotyping and computational approaches to crop science challenges. Key research interests include: Stomatal anatomy and physiology phenotyping using rapid field-deployable tools like FieldDino Image-based weed recognition systems and evolutionary implications for crop mimicry Integration of robotics and AI for precision agriculture applications His recent publications highlight trends toward real-time, in-field data acquisition and analysis, emphasizing practical solutions for sustainable crop management. Scientific contributions center on methodological advancements in agricultural imaging and evolutionary weed science, with no awards or major grants explicitly documented.
