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Vlatko VedralView profile

Professor

• Quantum physics
• Quantum information
• Quantum computation
• +1 more

Vlatko Vedral is a Professor of Quantum Information Science at the University of Oxford and a Professor of Physics at the National University of Singapore. He is a Governing Body Fellow at Wolfson College, Oxford, and a Principal Investigator at the Centre for Quantum Technologies (CQT), Singapore. His research spans quantum physics, quantum information, quantum computation, and many-body physics, with foundational work on quantum entang *ul> for education and leadership roles. PhD in physics at Imperial College of Science, Technology and Medicine (1995-1998), supervised by Prof. Sir Peter L. Knight, FRS. Thesis: 'Quantum Information Theory of Entanglement', summarized in a review article in Rev. Mod. Phys. (2002). BSc in physics (first class) at Imperial College, specializing in Theoretical Physics (1992-1995). Vedral has organized major international conferences such as Foundations of Physics (Leeds 2007), Theoretical Quantum Computation (Singapore 2009), and Quantum Discord (2011). He has led international collaborations, including a group of 15 Oxford academics at the James Martin School on 'Bio-inspired quantum technologies' and served on editorial boards for Annalen der Physik and JPhysA . With over 300 publications, including 44 in Physical Review Letters , 13 in Nature , and six invited reviews on quantum information, Vedral's work has been cited over 25,000 times, with an h-index of 62. He has delivered around 300 invited lectures globally, including plenary talks at major conferences and public lectures for Café Scientifique (2007) and New Scientist (2016). Scientific Awards and Honors Fellowship at the UK Institute of Physics (2017) Chair Professorship at Tsinghua University, Beijing (2015) Award 'Srpski Krivak', Belgrade (2015) Marko Jaric Award, Serbian Institute of Physics (2010) World Scientific Medal and Prize, Singapore IOP (2009) Royal Society Wolfson Research Merit Award (2007-2009) Finalist, John Archibald Wheeler competition, Princeton (2002) Abdus Salam Award, Imperial College (1997) Overseas Research Student Award, Imperial College (1995-1998) University of London Knight Trust Scholarship (1996-1998) He has supervised 40 PhD students and numerous undergraduates across the UK, US, and Singapore through programs like SURF Caltech exchange and Stanford University collaborations. His leadership roles in academia highlight his influence in advancing quantum information theory and fostering global research initiatives.

Gheorghe PaunView profile

Researcher

• Automata and Language Theory
• Natural Computing
• DNA Computing
• +3 more

Gheorghe Paun is a Senior Researcher at the Institute of Mathematics of the Romanian Academy (1994–present) and a Visiting Researcher at the University of Sevilla (2009–present). He earned his Ph.D. in Mathematics from the University of Bucharest (1977), supervised by Solomon Marcus. His research spans Automata and Language Theory (descriptional complexity, regulated rewriting), Natural Computing (DNA computing, membrane computing), and he is the initiator of membrane computing . Education : M.Sc. in Mathematics (1974), University of Bucharest (specialization: computer science) Ph.D. in Mathematics (1977), University of Bucharest His work includes foundational contributions to DNA computing (book DNA Computing. New Computing Paradigms , 1998) and membrane computing (book Membrane Computing. An Introduction , 2002). He has collaborated with over 100 researchers globally and advised multiple Ph.D. students, including Victor Mitrana and Gianina Georgescu. His scientific awards include the Gheorghe Lazar award (1981), Corresponding Member of the Romanian Academy (1997), Doctor Honoris Causa from Silesian University of Opava (2007), and recognition as an ISI Highly Cited Scientist (2007). He also holds honorary citizenships in Curtea de Arges (1998), Arges County (2007), and Cicanesti village (2009). Paun has served on editorial boards for journals like Theoretical Computer Science. Natural Computing Series and Natural Computing , and organized major workshops in membrane computing. His academic contributions include over 150 publications and editorial roles in 20+ journals.

Karl CrailsheimView profile

Professor

• Honeybee Behavior
• Swarm Intelligence
• Biology
• +3 more

Univ.-Prof. Karl Crailsheim is a Professor at the University of Graz, affiliated with the Institute of Zoology within the Faculty of Natural Sciences. His research focuses on honeybee behavior, physiology, and health, particularly investigating the honeybee superorganism and threats to their colonies. He explores swarm systems, robotics, and swarm intelligence, with recent emphasis on colony losses and environmental threats. His work bridges biology and robotics, applying insights from honeybee behavior to algorithm design. Research interests include honeybee nutrition, immune responses, pathogen impacts, and the application of citizen science in ecological studies. Key projects involve tracking honeybee behavior, analyzing pollen diversity, and developing robotic systems inspired by swarm dynamics. Collaborative efforts with citizen scientists enhance ecological data collection. Publications highlight advancements in understanding bee health, pesticide effects, and swarm robotics. His interdisciplinary approach addresses both biological and technological challenges in apiculture and robotics.

Julio Lloret-FillolView profile

Professor

• Catalysis
• Inorganic chemistry
• Artificial photosynthesis
• +7 more

Prof. Julio Lloret-Fillol is a Group Leader at the Institute of Chemical Research of Catalonia (ICIQ) and an ICREA Research Professor since 2015. His work bridges homogeneous catalysis , material science , and automation to develop sustainable chemical processes and solar fuels. He earned his PhD in 2006 from Universidad de Valencia under Prof. Lahuerta and J. Pérez-Prieto, followed by postdoctoral research at University of Heidelberg (MEyC and Marie Curie Fellowships). Awards: 2024 RSEQ-GEQO Award on Excellence 2023 Fellow of the Royal Society of Chemistry 2022 Ramón Areces Grant 2019 Thieme Chemistry Journals Award 2017 Young Academy of Europe 2015 Young Researcher RSEQ Award Research Interests: Water oxidation catalysis CO₂ reduction to value-added chemicals Artificial photosynthesis Electrocatalytic hydrogen generation Spin-off technologies for green hydrogen and photoreactors Notable Publications: 2024: Angew. Chem. Int. Ed. (electrocatalytic ketones from CO₂) 2024: ACS Catal. (Fe-doped NiO for OER) 2023: ACS Catal. (COF-based cobalt catalysts) 2022: JACS (OER mechanism with cobalt complexes) 2022: Angew. Chem. Int. Ed. (chloroalkane activation) Spin-offs: Treellum Technologies (photoreactors) JOLT Solutions (electrodes for hydrogen production)

Wilfried KubingerView profile

Professor

• Embedded Systems
• Machine Vision
• Autonomous Robotics
• +3 more

Prof. Wilfried Kubinger serves as the Head of the Department of Electronic Engineering at the University of Applied Sciences Technikum Wien, Austria. He holds a PhD in Technical Sciences from the Technical University of Vienna (1999) and has extensive experience in research and industry. His academic roles include leading the 'Automation & Sensor Technology' competence field and managing the 'Automation & Robotics' research area. **Research Focus:** His work centers on embedded systems, machine vision, autonomous robotics, and real-time control systems. Notable projects include obstacle detection for autonomous vehicles, stereo vision algorithms, and agricultural robotics applications. He actively contributes to IEEE and OVE engineering associations. **Professional Journey:** Prior to academia, he worked at Siemens Austria (2000–2003) as a software developer and project manager, and at AIT Austrian Institute of Technology (2003–2010) managing research projects in autonomous systems. He participated in DARPA Grand Challenge/Urban Challenge as a principal scientist for vision-based obstacle detection. **Publications:** His research spans embedded vision systems, FPGA implementations, and autonomous vehicle technologies. Recent work emphasizes agricultural robotics and Industry 4.0 applications. He also leads R&D project acquisition and implementation for Technikum Wien.

• Cyber-Physical Systems
• Machine Learning
• Autonomous Systems
• +5 more

Radu Grosu is a Professor at Technische Universität Wien (TU Wien), leading the Forschungsbereich Cyber-Physical Systems . His research focuses on Cyber-Physical Systems (CPS), Machine Learning, and autonomous robotics, with notable contributions to neural network architectures like Liquid Time-Constant Networks (LTC) and their applications in robotics and medical imaging. He is affiliated with the Network Lab and has supervised numerous PhD and Master's students, including Sebastian Michael Bittner, Daniel Scheuchenstuhl, and Sophie Neubauer. His work spans topics such as reinforcement learning, autonomous driving, and IoT ecosystems. Recent projects include developing robust AI systems for healthcare and robotics, such as tumor delineation using PET imaging and neuromorphic IoT architectures for smart villages. Grosu has published extensively on CPS, with over 146 contributions across peer-reviewed journals and conferences. His research emphasizes bridging theory and practice, addressing challenges in safety, scalability, and real-time control in autonomous systems. Key research interests include robotic perception, neural network robustness, and CPS/IoT integration. He has pioneered methods like DeepSTL for translating temporal logic requirements into neural network training objectives and developed frameworks like NimbleAI for neuromorphic sensing-processing systems. His team also explores distributed control algorithms for multi-agent systems, such as flocking drones and formation control using relative distance measurements. Recent work examines the generalization properties of deep filters in CNNs and quantum-classical reinforcement learning models for game AI. Grosu has advised over 20 students on topics ranging from deep learning in wafer defect analysis to bio-inspired neural circuits for auditable autonomy. His lab collaborates on interdisciplinary projects, such as applying AI to battery health estimation and prostate cancer diagnostics. He actively contributes to academic communities, editing special issues on AI in healthcare and CPS resilience, and has organized summer schools on CPS and IoT systems.

Ramin HasaniView profile

Researcher

• Machine Learning
• Robotics
• Neural Networks
• +3 more

Ramin Hasani is a researcher at TU Wien's Cyber-Physical Systems department. He holds a Dr.techn. (Doctor of Engineering) and specializes in machine learning applications for robotics, control systems, and biologically-inspired neural networks. His work focuses on developing interpretable neural architectures like Liquid Time-Constant Networks and Neural Circuit Policies, emphasizing safety and stability in autonomous systems. Hasani's research bridges neural network theory with practical robotics challenges, including autonomous racing, medical data analysis, and adversarial robustness. Key research areas include continuous-time neural networks, formal verification of neural ODEs, and bio-inspired control mechanisms derived from biological neural circuits (e.g., Caenorhabditis elegans). He collaborates extensively with institutions like MIT and ETH Zurich, contributing to projects in health-monitoring systems and end-to-end robot learning frameworks. His publications consistently address real-world challenges such as sepsis prediction via reinforcement learning and robust CNN architectures for image classification. Recent work highlights include developing stable recurrent networks through Gershgorin loss functions and advancing zero-shot transfer learning for autonomous systems. Hasani's interdisciplinary approach integrates principles from neuroscience, control theory, and machine learning to create auditable, high-performance AI solutions for cyber-physical environments.

Markus HafnerView profile

Associate Professor

• Greek literature
• collaborative authorship
• anonymity
• +4 more

Markus Hafner is a Classics scholar specializing in Greek literature at the University of Graz, Austria. He has held positions as Lecturer, Assistant Professor, and currently as Associate Professor. His research explores anonymous authorship, satire, consolation rhetoric, and the history of Classical studies. University of Graz (2023–present, Associate Professor) Humboldt University of Berlin and University of Heidelberg (previous academic roles) University of North Carolina at Chapel Hill (Alexander von Humboldt Fellow, 2018/2019) Education: Studied Classics, Philosophy, and Education at LMU Munich and University of Athens Doctorate in Munich (2016) on Lucian the satirist Hafner's research bridges ancient literary traditions with modern interdisciplinary approaches, focusing on collective creativity, authorship constructs, and cognitive theory. He is currently the Principal Investigator (2024–2028) of an ERC-funded project on anonymous authorship in ancient literature, which examines gender dynamics and collaborative writing practices. His Google Scholar publications reveal an unexpected intersection with materials science, particularly in enzyme-MOF biocomposites, biomimetic replication, and solid-state synthesis techniques. This suggests potential interdisciplinary collaborations or cross-domain expertise. Scientific Awards: Alexander von Humboldt Fellowship

Vedral VlatkoView profile

Professor

• Quantum Physics
• Quantum Information
• Quantum Computation
• +2 more

Vlatko Vedral is a Professor of Quantum Information Science at the University of Oxford and a Governing Body Fellow at Wolfson College. He concurrently holds positions as Professor of Physics at the National University of Singapore (Department of Physics) and Principal Investigator at the Centre for Quantum Technologies (CQT). His career includes roles as Centenary Professor of Quantum Information at Leeds University (2004–2009), Reader in Quantum Physics at Imperial College (2003–2004), and postdoctoral fellowships at Merton College and Elsag-Bailey. Education: PhD (1995–1998) and BSc (1992–1995) in Physics from Imperial College London, specializing in Theoretical Physics. His doctoral work on quantum entanglement is foundational to his later review in Rev. Mod. Phys. Research focuses on quantum physics, quantum information/computation, and many-body systems. He pioneered quantum discord theory and explored quantum effects in biological systems. Recent leadership includes directing a 15-member Oxford team on bio-inspired quantum technologies at the James Martin School. Publications: Over 300 papers (including 44 Phys. Rev. Letters, 13 Nature articles) with 25,000+ citations (h-index 62). Delivered 300+ invited lectures globally, including plenaries at major conferences and public talks like Café Scientifique (2007) and New Scientist events (2016). Supervised 40+ PhD students across institutions in the UK, US, and Singapore. Organized international meetings (e.g., Quantum Discord 2011) and serves on editorial boards (Annalen der Physik, JPhysA).

Gelenbe ErolView profile

Professor

• Neuronal networks
• Machine Learning
• Bio-inspired computing
• +7 more

Erol Gelenbe is a distinguished academic holding positions as Professor at the Polish Academy of Sciences' Institute of Theoretical and Applied Informatics (since 2017) and Visiting Professor at King's College London's Department of Engineering. He has held prominent roles globally, including Dennis Gabor Chair Professor at Imperial College London (2003–2019), University Chair Professor at the University of Central Florida (1998–2003), and Nello L. Teer Professor at Duke University (1993–1998). His academic journey spans institutions in Turkey, France, Belgium, the USA, and the UK. Education: BSc (High Honours) from Middle East Technical University; MSc/PhD from New York University Polytechnic Institute; Doctorat d’État from Université Pierre et Marie Curie (Paris VI). Research Interests: Focuses on neuronal networks, machine learning, bio-inspired computing, computer network design, performance evaluation, and cybersecurity. His work bridges probability theory with computer science and physical sciences. Awards: Recipient of the Mustafa Prize (2018), ACM SIGMETRICS Achievement Award (2008), and multiple national and international honours including France’s Legion d’Honneur and Poland’s Officer of Merit Cross. Editorial Roles: Co-Editor-in-Chief of Springer-Nature Computer Science; Editor for IEEE Transactions on Cloud Computing, Acta Informatica, and others since the 1970s. Students: Mentor to over 95 PhD graduates, many in academic leadership or industry roles. Notable advisees include Jacques Lenfant (President of University of Rennes) and Catherine Rosenberg (President of University of Grenoble). His contributions have earned him membership in prestigious academies, including Academia Europaea, the French National Academy of Engineering, and foreign memberships in Belgian, Polish, and Hungarian academies. He holds honorary doctorates from Université de Liège, Bogaziçi University, and the University of Rome II.

Jiri WiedermannView profile

Professor

• Theoretical computer science
• Computational complexity
• Models of sequential and parallel computational systems
• +7 more

Jiri Wiedermann is a Professor of Computer Science at Charles University and has served as Director of the Institute of Computer Science at the Academy of Sciences of the Czech Republic since 2000. His academic journey includes an Assoc. Prof. position at Charles University (2000) and degrees from Comenius University (RNDr., M.Sc.) and Czechoslovak Academy of Sciences (CSc., DrSc.). Education : DrSc. in Computer Science (Comenius University, Bratislava, 1993) CSc. (equiv. to PhD) in Computer Science (Czechoslovak Academy of Sciences, Prague, 1980) RNDr. and M.Sc. in Computer Science (Comenius University, Bratislava, 1974) His research spans Theoretical Computer Science , focusing on computational complexity, neurocomputing, and non-standard computing. He explores embodied cognition, mirror neurons, and autopoietic automata, bridging neural models with algorithmic frameworks. The 15 most recent publications highlight his work on interactive computation, fuzzy Turing machines, evolving artificial living systems, and cognitive architectures. Key trends include machine learning inspired by biological systems , computational limits of cognition , and formal models of neural processes . Scientific Awards : Member of Academia Europaea (since 2006) Member of the Czech Learned Society (since 2003) Board of Directors, ERCIM (since 1997) Leadership roles in EATCS (Vicepresident 1997-2002)

Marco DorigoView profile

Professor

• Swarm Intelligence
• Artificial Intelligence
• Robotics
• +3 more

Marco Dorigo is a Full Professor (part-time) at the Department of Computer Science, Faculty of Electrical Engineering, Computer Science and Mathematics, University of Paderborn since 2011. He is also a Research Director (Directeur de Recherches) at the IRIDIA laboratory, Universite Libre de Bruxelles since 2004. His academic career includes various research roles at institutions such as IDSIA in Switzerland and postdoctoral positions at ULB. His research focuses on Swarm Intelligence, Artificial Intelligence, and Robotics, with particular emphasis on optimization algorithms inspired by natural systems, such as Ant Colony Optimization. He has contributed significantly to the development of swarm robotics and self-organizing systems. Notable awards include the ERC Advanced Grant (2010), Cajastur International Prize for Soft Computing (2007), and the Prix Wernaers 2012 for the "Swarmanoid, The Movie" . He is a member of multiple prestigious organizations, including Academia Europaea and the IEEE. He has supervised over 12 PhD students and 40 MSc students. His research has been supported by grants such as the ERC Advanced Grant, and he has contributed to projects like the Swarm-Bot robotics system. He leads research at the IRIDIA laboratory, focusing on swarm intelligence, and has been involved in initiatives like the Swarm-Bots project, exploring self-organized robot colonies.

• Formal Languages
• Membrane Computing (P Systems)
• Theoretical Computer Science
• +4 more

Rudolf Freund is a retired Professor at the Vienna University of Technology (TU Wien), affiliated with the Department of Theory and Logic (E192-05) under the Faculty of Informatics. His research focuses on formal languages, membrane computing (P systems), theoretical computer science, and bio-inspired computational models. He has contributed extensively to areas such as infinite words, graph grammars, molecular computing, and neural networks. Freund has held roles including editor for conference proceedings (e.g., NCMA 2019) and has taught courses like Formal Language Theory and Introduction to Clinics. His work often bridges theoretical foundations with practical applications in computing systems, emphasizing formal verification and computational completeness. His research has been published in journals like Natural Computing and Theoretical Computer Science , exploring topics such as derivation modes in P systems, reactive membranes, and computational models for Boolean networks. Despite retirement, he remains active in academic activities, including organizing workshops and contributing to conferences on unconventional computing. Freund's expertise spans membrane computing variants, automata theory, and regulated rewriting systems, with a focus on advancing computational paradigms inspired by biological processes.

Franco ZambonelliView profile

Professor

• Distributed Computing
• Pervasive Computing and IoT
• Multiagent Systems
• +4 more

Franco Zambonelli is a Full Professor of Computer Science at the University of Modena and Reggio Emilia since 2010, with prior roles as Associate Professor (2001–2010) and Researcher (1997–2001). He holds a Laurea in Electronic Engineering (1992) and a PhD in Computer Science (1997), both from the University of Bologna. Research Interests: Focus on distributed and pervasive computing, self-organizing systems, autonomic computing, multiagent systems, and IoT applications in smart cities and healthcare. His work emphasizes agent-oriented software engineering, coordination models for distributed systems, and adaptive service ecosystems. Editorial Roles: Co-Editor-in-Chief of ACM Transactions on Autonomous and Adaptive Systems, and editorial board member of journals like Pervasive and Mobile Computing and Journal of Agent-Oriented Software Engineering. Awards: IEEE Fellow (2013), ACM Senior Member (2009), multiple best paper awards including IEEE SAINT (2001) and CBRM Cybernetics (2004). Grants & Projects: Coordinated EU FP7 Project SAPERE (2010–2013) and led FP6 Project CASCADAS (2006–2008). Currently involved in PRIN 2017 Fluidware (2019–2022) and H2020 CONNECARE (2016–2019). Labs: Agents and Pervasive Computing Lab (agentgroup.unimore.it).

Helmut RitschView profile

Professor

• Quantum Optics
• Cavity Quantum Electrodynamics (CQED)
• Ultra-cold Gas Physics
• +5 more

Univ.-Prof. Helmut Ritsch is a Professor in the Department of Theoretical Physics at Universität Innsbruck. He leads the Cavity Quantum Electrodynamics (CQED) research group, focusing on quantum optics, ultra-cold gas physics, and light-matter interaction. His work explores collective phenomena like superradiance, subradiance, quantum thermodynamics, and cavity cooling. Key research areas include quantum metrology, light forces, and optomechanical systems. Ritsch's group investigates applications in precision measurement, quantum computing, and novel light-matter interfaces. His theoretical contributions bridge quantum theory with experimental implementations, often leveraging quantum correlations and many-body physics. Research highlights include studies on self-organization of cold atoms in cavities, quantum thermal machines, and subradiant states for enhanced metrology. His team develops computational frameworks like QuantumOptics.jl for simulating open quantum systems. Ritsch collaborates internationally, contributing to projects like the iqClock Consortium for precision timekeeping. His work combines foundational physics with practical applications in quantum technologies.