Jurne Aardema is a researcher at the University of Groningen's University Medical Center Groningen (UMCG), affiliated with the Department of Gastroenterology and Hepatology. Their work centers on the intersection of gut microbiome dynamics, metabolomic profiles, and inflammatory bowel disease (IBD) treatment outcomes. Research focuses prominently on: Inflammatory Bowel Disease pathogenesis Gut microbiome-therapeutic response interactions Metabolomic biomarkers in IBD Predictive value of biological therapy Recent work demonstrates how gut microbiome and metabolome analyses show limited utility in forecasting biological therapy efficacy, challenging assumptions in precision gastroenterology. Collaborating within UMCG's IBD research consortium, Aardema works alongside leading figures including Prof. Rinse Weersma and Prof. Geert Dijkstra, contributing to multi-institutional studies that integrate microbiome science with clinical gastroenterology to refine treatment paradigms for IBD patients.
Behnam Malakooti is a Professor at the Department of Electrical, Computer, and Systems Engineering within the Case School of Engineering at Case Western Reserve University. His research focuses on industrial systems optimization, risk analysis, decision-making models, and multi-objective optimization. He holds fellowships from IEEE, the Institute of Industrial & Systems Engineers, and the Society of Manufacturing Systems. Education: PhD from Purdue University. Research interests include production systems, operations research, asymmetric risk prediction, and neural network applications. His work bridges theoretical decision models with practical industrial challenges, emphasizing utility theory and algorithmic solutions for scheduling and energy systems. Publications span optimization frameworks in energy systems, flow shop scheduling innovations, and foundational decision-making theories. Recent work explores geometric dispersion in risk analysis and variable neighborhood search algorithms. Awards include prestigious fellowships recognizing his contributions to manufacturing systems and industrial engineering disciplines. Teaching emphasizes production, operations management, and optimization techniques. Active in guiding research on scheduling algorithms and energy systems optimization.
Professor Larry Bull is a faculty member at the University of the West of England (UWE Bristol), affiliated with the School of Computing & Creative Technologies and the Computer Science Research Centre . His academic rank is Professor of Artificial Intelligence , and he teaches and researches in AI, focusing on evolutionary systems in both natural and artificial contexts. His work bridges computational intelligence, biological systems, and engineering applications. Research Interests: Prof. Bull's research explores evolution-inspired algorithms, neural networks, and bio-inspired computing. He investigates topics such as evolutionary optimization (e.g., cancer treatment design via nanoparticles), coevolutionary dynamics, and the application of AI to complex systems like anaerobic digestion and medical image classification. Recent work includes studies on neural network architectures, genetic recombination mechanisms, and the integration of biological principles into machine learning frameworks. Publications: His 279+ publications reflect contributions to evolutionary computation, neural networks, and interdisciplinary applications. Recent highlights include advancements in ResNet-based image classification architectures, haploid-diploid evolutionary algorithms for medical treatments, and theoretical studies on recombination's evolutionary role. Labs & Teams: Active in the Computer Science Research Centre , he collaborates on projects spanning computational biology, AI-driven healthcare, and sustainable engineering solutions. His work often employs unconventional computing paradigms and evolutionary modeling techniques.
Wilka Carvalho is a Research Fellow at Harvard University's Kempner Institute for the Study of Natural and Artificial Intelligence, where she works closely with Sam Gershman. Her research focuses on developing deep reinforcement learning theories for human learning and generalization. Dr. Carvalho earned her Ph.D. at the University of Michigan, where she studied deep reinforcement learning with Satinder Singh, Honglak Lee, and Richard Lewis, and was supported by the NSF GRFP and Rackham Merit Fellowship. During her PhD, she spent significant time at DeepMind working with Murray Shanahan, Daniel Zoran, and Danilo Rezende. She completed an M.S. in Computer Science at USC working with Yan Liu on machine learning for healthcare, and earned her B.S. in Physics at Stony Brook University working with Axel Drees on computational nuclear physics. Her research interests center on how predictions about future rewards drive human thoughts and behaviors: Deep reinforcement learning Human learning and generalization Computational cognitive science Artificial intelligence Neuroscience applications Dr. Carvalho's recent publications examine how people generalize to new tasks via counterfactual simulation, building agents that coordinate with humans without human data, and computational approaches to naturalistic experimental paradigms. Her work bridges theoretical machine learning with practical cognitive science applications. She has received prestigious fellowships including: National Science Foundation Graduate Research Fellowship Program (NSF GRFP) Rackham Merit Fellowship Dr. Carvalho is highly active in the academic community, regularly presenting her work at leading institutions including Harvard, MIT, Stanford, UC Berkeley, Columbia, NYU, UCLA, and Caltech. She maintains valuable academic resources for graduate students through her PhD Resources website and is open to collaboration opportunities with researchers across neuroscience and cognitive science disciplines.
Yves Poullet is a full Professor at the Faculty of Law of the University of Namur (UNamur) and the University of Liège (ULG). He served as Director of the Center for Research on Information, Law and Society (CRIDS) from 1979 to 2010 and has been the Rector of UNamur since September 1, 2010. Education : Doctor of Law (Catholic University of Louvain, 1982), Bachelor of Philosophy (Catholic University of Louvain) Research Focus : Yves Poullet specializes in the legal implications of information technologies, with emphasis on: Privacy and data protection Internet governance Artificial intelligence regulation Information society law Bank guarantees and Roman law Academic Contributions : His recent work explores AI sovereignty, transparency frameworks, and human dignity in the context of neuroscience and AI. He has authored articles on EU regulatory models, digital rights, and GDPR maturity. Scientific Awards : Expert to UNESCO, OECD, and the Council of Europe Member of the Royal Academy of Sciences, Letters and Fine Arts of Belgium (Technologies and Society Class) Member of the Lambert Wilson Chair Scientific Committee (Montreal) Leadership & Editorial Roles : Founder of European Telecoms Forum, ECLIP, FIRILITE, and the Belgian Association of Information Law (ABDI) President of the Journal of Information Technology Law (RDTI) Editorial board member of journals like Computer and Telecommunications Law , Lex electronica , and Computer Law and Security
Baudouin Le Charlier is a researcher with a focus on computational logic, programming languages, and system security. He has led multiple research projects, including sequential analysis under Unix, automated IT resource monitoring, and abstract interpretation for declarative languages. His work spans 1992–2008, with a strong emphasis on logic programming and formal semantics. Key Research Areas: Logic Programming, Abstract Interpretation, Data Stream Processing, Unix Systems, and Programming Language Interoperability. Notable Projects: Asax (Sequential Analysis), Survauto (IT Monitoring), COMPULOG-Net (Computational Logic Network), ABILE (Abstract Interpretation Tools). His 15 most recent publications (1995–2008) highlight trends in declarative semantics, interoperability mechanisms, and distributed audit analysis. These works often intersect with constraints, tools, and formal modeling.
Francesco Cauteruccio is a Tenure-Track Assistant Professor at the Department of Information Engineering, Electrical Engineering and Applied Mathematics (DIEM) at the University of Salerno, Italy. He is affiliated with the CORE and S 3 labs, focusing on interdisciplinary research at the intersection of social networks, IoT, and hybrid AI models. Ph.D. in Mathematics and Computer Science, University of Calabria (thesis: "Generalizing Identity-Based String Similarity Metrics: Theory and Applications") Italian National Scientific Qualification (ASN) for Associate Professor in Computer Science and Computer Engineering Visiting researcher at University of Klagenfurt (AI & Cybersecurity) and University of Lyon 1 (CERMEP/CREATIS) His research spans: Social & Complex Networks: Modeling cross-blockchain ecosystems, Reddit community dynamics, and sentiment propagation IoT & Hybrid Intelligence: Scope formalization, anomaly detection in MIoT networks, and air quality prediction systems Logic Programming: Integrating Answer Set Programming with machine learning for medical informatics and pattern mining Algorithm Design: Multi-Parameterized Edit Distance (MPED) for bioinformatics and network analysis Recent publications address network theory applications, hybrid reasoning frameworks, and high-utility pattern mining with formal constraint specification. He serves as guest editor for journals like Big Data and Cognitive Computing and Frontiers in Medical Engineering , and organizes international workshops on hybrid intelligence (HYDRA, VIPERC). Academic distinctions: Italian National Scientific Qualification for Associate Professor positions (2024) Guest Editor for 12+ special issues in data science and IoT journals Program/General Chair for 8 international workshops (2022-2024) His teaching portfolio includes courses on algorithms, distributed systems, and data analytics at University of Salerno, Polytechnic University of Marche, and University of Calabria.
Pulkit Agrawal is an Associate Professor in the Department of Electrical Engineering and Computer Science (EECS) at the Massachusetts Institute of Technology (MIT). He leads the Improbable AI Lab, which is part of the Computer Science and Artificial Intelligence Lab (CSAIL), affiliated with the Laboratory for Information and Decision Systems (LIDS), and involved with the NSF AI Institute for Artificial Intelligence and Fundamental Interactions (IAIFI). Dr. Agrawal completed his Ph.D. at UC Berkeley and undergraduate studies at IIT Kanpur. He co-founded SafelyYou Inc., which builds fall prevention technology, and serves as an advisor to Tutor Intelligence, Lab0 Inc., and Common Sense Machines. His research focuses on computational sensorimotor learning, aiming to build machines with human-like manipulation and locomotion abilities. His work spans perception, control, hardware design, robotics, and reinforcement learning, with inspiration drawn from cognitive science and neuroscience. His recent publications demonstrate a strong trend toward integrating foundation models with robotics, developing methods for sim-to-real transfer, and exploring language model personalization for robotic applications. The research spans both theoretical advances in reinforcement learning and practical implementations in robotic systems, with significant contributions to dexterous manipulation, locomotion, and AI for physical systems. IIT Kanpur Young Alumnus Award 2024 IEEE Early Academic Career Award in Robotics and Automation Amazon Research Awards (2020, 2019, 2019, 2023) Best Paper Award at Conference on Robot Learning (CoRL) 2021 Dr. Agrawal advises numerous graduate students, postdocs, and undergraduate researchers through his Improbable AI Lab. His lab has received substantial funding from Amazon Research Awards and has mentored students who have gone on to positions at Google, Boston Dynamics, OpenAI, and leading academic institutions. The Improbable AI Lab brings together researchers from computer science, electrical engineering, mechanical engineering, and cognitive science to tackle challenging problems in robot learning and sensorimotor intelligence.
Erandi Hene Kankanamge is a Senior Lecturer in Computer Science at the University of New South Wales, Canberra (UNSW Canberra), working within the School of Systems & Computing. Her academic career spans over a decade with significant contributions to artificial intelligence research and education. Her educational background includes: BSc (hons) in Computer Science at the University of Colombo, Sri Lanka (First Class) PhD in Computer Science at UNSW Canberra (2014) Dr. Kankanamge's research focuses on the intersection of artificial intelligence and human-computer interaction, with expertise in multi-agent systems, computational intelligence, multi-objective optimization, human-computer interfaces, and games for health. Her work bridges theoretical AI advancements with practical applications in defense, healthcare, and gaming contexts. She employs computational intelligence approaches to model complex behaviors and develop systems that enhance human performance and wellbeing through digital interactions. Her publication record shows a clear evolution from foundational work on behavior modeling to sophisticated applications in human-swarm interaction, trust architectures, and exergaming interfaces. The research demonstrates consistent emphasis on practical implementations of AI techniques in real-world scenarios, particularly in board games, military applications, and health-focused digital experiences, with strong interdisciplinary connections between computer science, psychology, and health sciences. Dr. Kankanamge has secured significant research funding through multiple competitive grants: Model Abstractions for Military Wargaming ($220,000, DSTG) Actionable Cyber Security Intelligence from Big Data ($75,000, Industry Grant) Simulation and Visualisation Using Data Farming ($350,000, DSTG) Game Master: Improved player mental and physical wellbeing ($50,000, Rector's Start-up Grant) As an academic advisor, Dr. Kankanamge supervises multiple PhD candidates across diverse research topics including human-swarm interaction, motive profile compositions for cooperative teams, stress detection during gameplay, and reinforcement learning for complex board games. Her professional service includes roles as Secretary of IEEE CIS ACT Chapter, conference organization roles, and journal reviewing activities across multiple prestigious publications in AI and gaming. Dr. Kankanamge's research contributes to multiple interdisciplinary teams focusing on AI-enabled analysis, human-machine teaming, and serious games development. Her work with the Defence Science and Technology Group demonstrates strong connections between academic research and defense applications, while her interest in games for health shows commitment to societal impact through technology.
Welcome to the spintronics and nanoelectronics research group led by Prof. Dr. Jairo Sinova at the Institute of Physics , Johannes Gutenberg University Mainz . The group specializes in condensed matter theory , focusing on spintronics and mesoscopic electronic transport . Their work explores the coupling of spin and charge degrees of freedom in materials, with major contributions to spin Hall effects and diluted magnetic semiconductor physics . Coordinates DFG-funded Priority Program on "Unconventional Magnetism" ERC Synergy Grant recipient for interdisciplinary organic spintronics collaboration Prominent publications in Nature Physics , Nature Electronics , and Physical Review journals Research philosophy emphasizes multi-scale modeling , from first-principles calculations to semi-classical simulations using software like VOTCA-STP , Quantum ESPRESSO , and ORCA . The group maintains collaborations with leading institutions including Cambridge University , Imperial College London , and Max Planck Institute for Polymer Research . Recent publications demonstrate expertise in: Molecular spin dynamics Spin-orbit coupling quantification Organic semiconductor modeling Antiferromagnetic-ferromagnetic hybrid systems Magnetic skyrmion stability analysis Spintronic interface optimization Scientific honors include: Alexander von Humboldt Professorship Leadership of DFG Priority Program (8M€ funding) ERC Synergy Grant coordination The group actively mentors students and early-career researchers, with several members receiving institutional recognition through: PhD thesis defenses (Tobias Wagner, V.K. Bharadwaj) Master thesis completions (Tobias Wagner, Bennet Karetta) Marie Skłodowska-Curie Fellowship (Pieter Gunnink) Operating in a state-of-the-art facility at Staudinger Weg 7, Mainz, the team combines theoretical physics with computational materials science to develop next-generation spintronic technologies.
Céline Bourbousson serves as a Senior Lecturer in Management Science at Côte d'Azur University's School of Economics and Management, actively contributing to the Research Group in Law, Economics, and Management (GREDEG) and participating in specialized research units including Team Alter-Organizing and Pole Innovation, Science and Technology (PIST). Her scholarly focus centers on: Territorial cooperation mechanisms Social and solidarity economy frameworks Hybrid organizational structures Alternative management practices Institutional work in public policy implementation Analysis of her publication record reveals consistent investigation of multi-scalar collaboration dynamics in regional development contexts, with particular emphasis on how public instruments get operationalized through organizational networks. Her work bridges theoretical organizational studies with practical applications in economic cluster development and territorial governance. Dr. Bourbousson completed her doctoral research at Aix-Marseille Université in 2018, establishing her expertise in institutional practices within territorial economic cooperation frameworks. Through her affiliations with GREDEG and Team Alter-Organizing, she continues advancing understanding of innovative organizational models that challenge conventional economic paradigms while addressing contemporary regional development challenges.
Johan Stiens is a Professor at the Vrije Universiteit Brussel (VUB) in the School of Electronics and Computer Science , Department of Electronics and Informatics . His research spans Millimeter-Wave Imaging , Sub-THz Sensor Development , and Physiological Sensing with a focus on Biomedical Applications and Advanced Electronics . Research Interests Millimeter-Wave and Sub-THz Sensor Design Neural and Physiological Signal Processing Graphene-Based and Semiconductor Technologies Machine Learning in Healthcare and Imaging Recent Article Trends show a heavy emphasis on Machine Learning for Waveform Conversion , Polarization Engineering , and Health Monitoring Systems . Scientific Awards Best Student Paper Award (2008) Industrial Research Fund (IOF) Distinction (2020) Advising and Grants include supervision of theses on Brain Stimulation , PPG Monitoring , and Intra-Abdominal Pressure , with grant-funded projects like Erasmus+ KeyAction2 and DESTINY (Carbon-Neutral Solutions). He leads the Advanced mm-Wave and Sub-THz Sensor group and collaborates with institutions in South America and Europe .
Dr Matthew Studley is a Professor in Ethics and Technology at the University of the West of England (UWE Bristol), affiliated with the School of Engineering and Department of Engineering, Design and Mathematics. He serves as Director of Research and Enterprise in the School of Engineering and Co-Director of the Bristol Robotics Laboratory. His expertise spans robotics, ethics, machine learning, and sustainable technology development. PhD in Computer Science MSc in Artificial Intelligence BSc (Hons) in Computer Systems His research focuses on robotics ethics , sustainable design , and machine learning optimization . Current work explores robot repurposing for circular economy , human-robot interaction dynamics , and adaptive learning systems , with particular emphasis on ethical AI deployment in industrial and domestic contexts. Recent publications highlight his pioneering work in robot sustainability , ethical design frameworks , and reinforcement learning architectures . Key trends show integration of environmental responsibility with technical innovation across robotics applications. As Co-Director of the Bristol Robotics Laboratory, Studley leads initiatives in collaborative robotics , smart city integration , and ethical AI development , while also contributing to public engagement through projects like the 'Heart Robot' and hybrid puppet demonstrations.
Mohadeseh Taheri-Mousavi is an Assistant Professor in the Department of Materials Science and Engineering at Carnegie Mellon University , joining in 2022. Her work bridges machine learning, computational materials science, and additive manufacturing to develop advanced structural alloys for extreme environments. PhD from EPFL (2015), MSc/BSc from Sharif University of Technology Postdoctoral experience at MIT (2022) and Brown University (2017) Research interests include: AI-driven alloy design Hydrogen embrittlement mitigation Multi-agent generative AI frameworks Process-microstructure-property relationships Clean energy material sustainability Her articles focus on additive manufacturing , hydrogen-resistant alloys , and AI-enhanced material discovery across aerospace, automotive, and nuclear applications. Notable funders include NASA , DARPA , and the Naval Nuclear Laboratory . Scientific awards include: Swiss National Science Foundation Early & Advanced Fellowships Her research team includes postdoctoral and doctoral researchers developing next-generation alloys through human-AI collaboration and computational modeling.
Michel Audiffren is a full Professor at the University of Poitiers and a leading member of CeRCA (Centre for Research on Cognition and Learning)/MSHS, located at TSA 21103, 5 rue Théodore Lefebvre, 86073 Poitiers cedex 9, France. Academic Focus & Research Interests His research integrates psychophysiology, neuroscience and exercise science to understand how physical activity influences cognitive aging, executive functions, and mental fatigue. Key areas include: Neuroplasticity induced by chronic and acute exercise Self-control and effortful control models Neuroimaging correlates (especially fNIRS) of cognitive load and fatigue BDNF and COMT gene × physical activity interactions in ageing cognition Behavioural interventions to enhance exercise adherence and cognitive health Publication Trends Across the last 15 high-impact publications (2025→2019), Audiffren and colleagues consistently bridge basic psychophysiological mechanisms with applied interventions. Studies repeatedly employ fNIRS, cardiovascular markers (HRV), and behavioural paradigms to dissect how mental fatigue, effort valuation and aerobic exercise interact. The work spans healthy young adults to frail nursing-home residents, highlighting translational ambitions. Doctoral Supervision & Collaborative Network Over the past five years he has supervised or co-supervised: Anne Canivet (2012–2016) – Genetic moderation of exercise-cognition links in seniors Nounagnon Frutueux Agbangla (2013–2016) – Aging, executive control and fNIRS Thomas Mangin (2017–2020) – Self-monitoring exhaustion conditions Marine Grousset (2019–2023) – Self-control, physical activity & chronic low-back pain Collaborations extend to Cédric Albinet (IUT Champollion), Roy Baumeister (University of Queensland), Delphine Fagot (University of Geneva), and Sandra Chanraud (EPHE Bordeaux), fostering multi-centre projects and international visibility. Laboratory & Teaching Roles Within CeRCA he heads the “Cognition, Clinic and Behavior (CoCliCo)” research axis. He teaches psychophysiology of exercise, physical activity and brain plasticity, and psychology of stress and motivation at both undergraduate and master’s levels at the University of Poitiers and contributes to the European Master in Health and Physical Activity (Rome Foro Italico).
