Michael A Osborne is Professor of Machine Learning at the University of Oxford and leads the Bayesian Exploration Lab . He serves as Director of the EPSRC Centre for Doctoral Training in Autonomous Intelligent Machines and Systems and co-directs the Oxford Martin AI Governance Initiative. His research focuses on Bayesian optimization, Gaussian processes, and probabilistic numerics with applications in quantum devices, battery modeling, and AI governance. Key Positions: Professor of Machine Learning, University of Oxford Official Fellow, Exeter College Co-founder of Mind Foundry Lead Researcher, Oxford Martin Programme on Technology and Employment Research Themes: Probabilistic modeling for quantum systems Uncertainty quantification in energy storage AI safety and societal impact analysis Automated experimental design Quantum device calibration Probabilistic numerical methods Technical Contributions: Bridging reality gap in quantum devices Efficient Bayesian quadrature techniques Personalized neurostimulation algorithms Automated measurement protocols Quantum-classical hybrid ML
Sam Yam is a Professor and Head of the Management & Organisation Department at the National University of Singapore's (NUS) Business School. He holds the Jardine Cycle & Carriage Professorship and serves as Associate Dean. His research spans strategy, organisational behaviour, applied psychology, ethics, and human-technology interaction. Yam has contributed to over 125 publications, focusing on AI ethics, workplace dynamics, and cross-cultural management. He explores topics like robot replacement effects, abusive supervision, and financial anxiety's intergenerational impacts. His work bridges psychology, ethics, and organisational theory, addressing contemporary challenges in automation, leadership, and human-AI collaboration. Appointments: Head of Management & Organisation (2022–present), Joint Appointment in Arts & Social Sciences (2023–present). Key Research Themes: Future of work, human-technology interaction, ethical leadership, and Machiavellian dynamics. Notable Contributions: Multimodal ADHD diagnostics, leader biases toward robot-using employees, and cultural impacts on team performance. Yam’s interdisciplinary approach integrates psychology, technology, and management, addressing societal issues like AI ethics and workplace automation. His research frequently appears in top journals like the Journal of Management and Annual Review of Organizational Psychology .
Dr. Nienke Smit is an Assistant Professor in the Department of Education at Utrecht University's Faculty of Social and Behavioural Sciences. Her research focuses on scaffolding processes, adaptive teaching, and classroom observational research from a complex dynamic systems perspective. Specializes in teacher-student interaction Expert in adaptive instruction and observational methods Collaborates with Data Science department Develops tools for classroom observation Research interests include language learning and teaching , judgment and decision-making in education , and professional development of teachers . She leads projects like Eye Get It (joint attention in classrooms) and a replication study on adaptive instruction effectiveness. Her work applies dynamic systems theory to second language development and foreign language pedagogy. Recent publications address translanguaging in multilingual classrooms, replication studies , and process-oriented research . She teaches at Utrecht's Graduate School of Teaching and works on initiatives to reduce teacher shortages through improved training programs.
Dr. Zhu Lailai serves as Assistant Professor in the Department of Mechanical Engineering at the National University of Singapore (NUS), appointed in January 2020. His research bridges fundamental fluid mechanics with cutting-edge engineering applications through computational and theoretical approaches. Dr. Zhu holds a PhD from KTH Royal Institute of Technology (Sweden) and completed postdoctoral training at Princeton University. His research program centers on: Low-Reynolds-number fluid-structure interactions and bio-inspired adaptive systems Active matter dynamics (Janus colloids, active droplets, flagella/cilia) Intelligent fluids integrating machine learning for fluid dynamics Microrobotics with reinforcement learning-based chemotactic navigation Non-Newtonian/multiphase flows and microfluidics applications Analysis of his 2017-2025 publications reveals a clear trajectory toward AI-enhanced fluid mechanics, evolving from foundational theoretical models to machine learning integration. Recent work emphasizes foundation models for fluid dynamics prediction and topology-adaptive microrobotic navigation, demonstrating interdisciplinary convergence of physics, AI, and bionics. Scientific Awards: No major scientific awards specified in source materials Advising and Grants: While specific advisees and grants aren't detailed, his active publication record across high-impact journals (Nature Communications, Journal of Fluid Mechanics) indicates ongoing supervised research and likely grant funding through NUS and collaborative projects. Research Group: Dr. Zhu leads a computational/theoretical research team at NUS investigating active and intelligent fluids, with current projects on PCM thermal systems, microrobotic navigation, and active matter phase transitions, collaborating with experimentalists globally.
Kristofer Pister is a Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He co-directs the Berkeley Sensor and Actuator Center (BSAC) and the Ubiquitous Swarm Lab. His career spans groundbreaking innovations in Micro/Nano Electro Mechanical Systems (MEMS), Control Systems, and Low-Power Circuits, with a focus on Smart Dust and synthetic insects. Education: Ph.D. and M.S. in EECS from UC Berkeley (1992, 1989); B.A. in Applied Physics from UC San Diego (1986). His research areas include MEMS , Control Systems , Robotics , and Integrated Circuits , with recent work on self-powered micro-sensors, crystal-free radios, and interplanetary swarm networks. Key awards include the ISA Albert F. Sperry Founder Award (2009) , Alexander Schwarzkopf Prize (2006) , and the NSF CAREER Award (1996) . He has authored numerous influential publications in wireless sensor networks and microrobotics. His lab, Ubiquitous Swarm Lab , explores distributed robotics and swarm intelligence. Pister emphasizes open collaboration in research, ethical conduct in academia, and efficient resource utilization for graduate students.
Anna Levina is an Assistant Professor for Computational Neuroscience at the University of Tübingen , affiliated with the Department of Computer Science under the Faculty of Science. Her research focuses on the self-organization of neuronal activity, critical dynamics in neural networks, and the excitation/inhibition balance in cortical circuits. Current positions: Assistant Professor (since 2018), Group Leader (2017-2018), Equality Officer (Computer Science) Previous roles: IST Fellow (2015-2017), Associated Researcher (2011-2015), Postdoc/PI (2011-2015), Postdoc (2008-2011) Her research integrates mathematical modeling , statistical physics , and computational neuroscience to study criticality phenomena, neural avalanches, and adaptive network dynamics. Key interests include: Self-organized criticality in neural systems Excitation/Inhibition balance mechanisms Network topology and dynamics Timescale analysis in neural processing Stochastic modeling of neural activity Recent publications reveal trends in understanding critical dynamics across biological and artificial networks, with applications to memory systems, sensorimotor integration, and disease modeling. She has received recognition as an IST Fellow .
Swiss Federal Institute of Technology in LausanneSwitzerland
Romain Fleury is an Associate Professor at the Laboratory of Wave Engineering (LWE) , part of the École Polytechnique Fédérale de Lausanne (EPFL) School of Engineering and Institute of Electrical and Micro Engineering (IEL) . He earned a Ph.D. in Electrical and Computer Engineering from the University of Texas at Austin in 2015 under Andrea Alù, followed by a Marie-Curie Postdoctoral Fellowship at ESPCI Paris-Tech and CNRS Langevin Institute (2016). His research explores wave physics and engineering , focusing on topological insulators , nonreciprocal wave propagation , and time-modulated metamaterials . He has co-authored over 70 peer-reviewed articles in journals like Science , Nature , and Physical Review series, with recent work on topological acoustics , active metamaterials , and wave-based analog computing . Dr. Fleury received the Eccellenza Grant (2021) from the Swiss National Science Foundation and an ERC Starting Grant (2022) . He co-founded Minwave , a startup selling miniaturized microwave devices patented by his lab, which has garnered awards such as ESA-BIC CH , FIT , and Venture Kick . He has served as Technical Program Committee Chair for Eucap 2019 and on the Editorial Board of the New Journal of Physics . Recognized for teaching excellence with the STI Polysphere Award (2019) and IEL Best Teacher Award , he teaches courses including Electromagnetics , Antennas , and Advanced Photonics . His work bridges fundamental wave physics with applied technologies , emphasizing topological effects , nonlinear systems , and metamaterials . Collaborations span institutions such as ESPCI Paris , University of Texas at Austin , and University of Vienna , with applications in acoustic imaging , 5G antennas , and optical signal processing . His recent publications highlight ultrafast anti-lasing , reconfigurable metasurfaces , and disorder-assisted photonic crystals , reflecting a career dedicated to advancing wave engineering through topological and nonreciprocal designs .
Stephen Marshall is Professor of Urban Morphology and Urban Design at The Bartlett School of Planning, University College London. He also served as Visiting Professor at the Department of Architecture and Urban Studies, Politecnico di Milano, Italy from 2019 to 2021. With over twenty-five years of experience in the built environment fields, initially in consultancy and subsequently in academia, Professor Marshall has established himself as a leading expert in urban morphology and design. His educational background includes a Doctor of Philosophy from University College London (2001), a Postgraduate Diploma from Edinburgh College of Art (1995), a Master of Science from the University of Leeds (1989), and a Bachelor of Engineering from the University of Glasgow (1988). Professor Marshall's principal research focuses on urban morphology and street layout, examining their relationships with urban formative processes including urban design, coding and planning. His work bridges urban design theory with practical applications, exploring how cities evolve through complex interactions of physical form, social processes, and planning interventions. He has written or edited several influential books including 'Streets and Patterns' (2005), 'Cities, Design and Evolution' (2009), and 'Urban Coding and Planning' (2011). His recent publications reveal a growing interest in applying complexity science to urban morphology, with particular attention to biological analogies for understanding self-organizing cities. He has pioneered research on digital participation methods in urban planning, exploring how online platforms can enhance public engagement in urban space design. His work consistently bridges theoretical urban morphology with practical applications for contemporary urban challenges like pandemic adaptation and sustainable transport. Professor Marshall has served as Chair of the Editorial Board of Urban Design and Planning from its launch to 2012, and is now co-editor of Built Environment journal. His editorial work has significantly shaped scholarly discourse in urban planning and design. He leads several significant research initiatives including the Incubators of Public Spaces project, which explores digital platforms for co-creating urban spaces, and the Self-Organising Built Environment project, which investigates biological analogies in urbanism. These projects reflect his interdisciplinary approach to understanding and shaping urban environments, connecting with Sustainable Development Goal 11 (Sustainable Cities and Communities).
State University of New York at BuffaloUnited States
Jun Liu is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at the School of Engineering and Applied Sciences, University at Buffalo. His research focuses on advanced energy materials, nano/micro-mechanics, and self-powered systems, with applications in triboelectric energy harvesting and scanning probe microscopy. Education: PhD, Materials Engineering, University of Alberta (2018) MS, Materials Science, Shanghai University (2015) BE, Materials Science and Engineering, Nanchang University (2012) Research Interests: Development of tribovoltaic and triboelectric systems for self-powered electronics Mechanical energy harvesting via dynamic heterojunctions and Schottky contacts 3D-printed hydrogel structures for energy absorption and flexible electronics Nanoscale characterization using atomic force microscopy Design of nanocomposite sensors and catalytic materials Publication Trends: His work emphasizes triboelectricity, nanoscale energy conversion, and sustainable materials. Recent articles explore bionic tactile sensing, tunable hydrogels, and quantum dynamics in sliding interfaces. Awards: SONY Faculty Innovation Award (2021) Nature Springer MINE Young Scientist Award (2020) International Contest of Applications in Nano/Micro Technology Prize (2013) Laboratory: Advanced Energy Materials and Nanomechanics Lab at University at Buffalo.
Dist. Professor Leslie Yeo is a distinguished faculty member at RMIT University's School of Engineering, where he leads the Micro/Nanophysics Research Laboratory (MNRL). With a PhD from Imperial College London (2002), he has held positions at Monash University and the University of Notre Dame before joining RMIT. His research focuses on the interactions between high-frequency sound waves and matter at micro and nanoscales. Leslie Yeo's educational background includes a PhD from Imperial College London (2002), where he received the Dudley Newitt prize for outstanding computational/theoretical work. Prior to his academic career, he worked as a Mathematical Modeller at Det Norske Veritas UK. He held prestigious Australian Research Fellowships (2009-2017) that supported his groundbreaking work in micro and nanophysics. Professor Yeo's research interests center around high-frequency (MHz order) sound waves interacting with various materials including fluids, two-dimensional and bulk crystals, biomolecules, cells and microorganisms. His work explores both fundamental physicochemical phenomena and practical applications in microfluidics, drug delivery, diagnostics, tissue engineering, and materials synthesis. His research has significant implications for health technologies, environmental applications, and sustainable energy solutions, aligning with UN Sustainable Development Goals 3 (Good Health and Well-Being) and 7 (Affordable and Clean Energy). Analysis of Professor Yeo's recent publications reveals a strong focus on acoustofluidics and its diverse applications. His work demonstrates expertise in using surface acoustic waves for bacterial inactivation, synthesis of metal-organic frameworks, cell membrane manipulation, and energy conversion technologies. The research spans multiple disciplines including biomedical engineering, materials science, and environmental technology, with particular emphasis on practical applications that address real-world challenges. 2023: Fellowship of the Institution of Engineering & Technology (FIET) 2021: RMIT University Science, Technology, Engineering & Medicine College Research Impact Award 2019: RMIT University Distinguished Professorship 2018: RMIT University Vice-Chancellor's Award for Research Excellence 2016: Johnson & Johnson World Without Disease Quickfire Challenge Award 2007: Young Tall Poppy Science Award Professor Yeo has supervised numerous research students across engineering and science disciplines, with current projects focusing on acoustomicrofluidic synthesis of nanomaterials, high-frequency mechanobiology applications, and diagnostic technologies. His editorial roles include Editor-in-Chief of the American Institute of Physics journal Biomicrofluidics and Associate Editor of Frontiers in Bioengineering & Biotechnology. His work has been widely featured in media outlets including ABC's Catalyst, The Economist, and Nature. The Micro/Nanophysics Research Laboratory under Professor Yeo's leadership is at the forefront of fundamental and applied research on nonlinear high-frequency electroacoustic interactions. The laboratory has discovered novel physicochemical phenomena and actively develops theories to explain the fundamental mechanisms behind these discoveries, with applications ranging from medical diagnostics to sustainable energy solutions.
Juliet M. Moringiello is Professor of Law and Associate Dean for Academic Affairs at Widener University - Commonwealth Law School, where she has established herself as a leading scholar in property law, electronic contracting, and blockchain technology. Her work bridges traditional legal doctrines with emerging digital economies, particularly in the areas of NFTs, crypto assets, and secured transactions. Position: Professor of Law, Associate Dean for Academic Affairs Institution: Widener University - Commonwealth Law School, Harrisburg, PA Her research interests focus on the evolving landscape of digital property, including the legal treatment of tokens, virtual assets, and blockchain-based real estate. She critically examines the Uniform Commercial Code (UCC), particularly Articles 9 and 12, in the context of technological innovation. Moringiello also explores municipal bankruptcy, consumer contracts, and the implications of automated enforcement mechanisms like smart contracts. The trends in her recent publications reflect a growing scholarly engagement with decentralized technologies. Her work analyzes how traditional legal frameworks—such as property rights, title registration, and contract formation—apply (or fail) in digital environments. She frequently collaborates with legal scholars like Christopher K. Odinet and William L. Reynolds, contributing to foundational debates on electronic assent, consumer protection, and financial regulation. Moringiello’s scholarship has been widely disseminated through major law reviews and research platforms. Her publications appear in journals such as Florida Law Review , William & Mary Law Review , Rutgers Law Review , and Yale Journal on Regulation . She has also contributed to book chapters with Cambridge University Press. She has been involved in public policy discussions, notably co-authoring commentaries on the Federal Trade Commission’s proposed ban on non-compete clauses. Her academic leadership is evident in her editorial and collaborative roles across legal academia. Moringiello has advised on issues related to data security, domain name enforcement, and the legal infrastructure of subprime mortgages. Her work on municipal receiverships and bankruptcy highlights the intersection of public trust, governance, and financial distress. Although no formal advising or grant information is listed, her extensive collaborative research suggests active engagement in scholarly networks and policy initiatives.
Alan Montgomery is a Professor of Marketing at Carnegie Mellon University's Tepper School of Business, where he has held a tenured position since 2018 (previously as Associate Professor from 2005-2017). He also maintains an affiliation with the Machine Learning Department at CMU's School of Computer Science, demonstrating his interdisciplinary research approach at the intersection of marketing, economics, and computational methods. Dr. Montgomery earned his educational credentials from prestigious institutions: Ph.D. in Marketing/Economics, University of Chicago (1994) MBA, University of Chicago (1994) BS in Economics, University of Illinois at Chicago (1989) His research focuses on applying advanced quantitative methods to marketing problems, with particular expertise in consumer behavior modeling, clickstream data analysis, pricing strategies, and micro-marketing. Dr. Montgomery's work bridges traditional marketing theory with computational approaches, making significant contributions to both academic literature and practical business applications. His research often involves large-scale data analysis to uncover patterns in consumer decision-making processes, with recent work exploring mental accounting, bandit algorithms, and the impact of digital phenomena like movie piracy on traditional markets. Dr. Montgomery has received notable recognition including the 1999 Mitchell Prize from the American Statistical Association for his paper "Estimating Price Elasticities with Theory-based Priors." His work has been published in top-tier journals across marketing, economics, and computer science disciplines, demonstrating the interdisciplinary impact of his research. As an educator and mentor, Dr. Montgomery has advised numerous PhD students and collaborated extensively with researchers across multiple institutions. His interdisciplinary approach has led to collaborations with computer scientists studying web browsing behavior and economists examining consumer decision frameworks. His research has been supported by various grants throughout his career, enabling extensive data collection and analysis projects. Dr. Montgomery's work spans multiple research environments, including collaborations with the Machine Learning Department at CMU's School of Computer Science. His research group likely focuses on applying computational methods to marketing problems, particularly in the areas of consumer behavior modeling, clickstream analysis, and data-driven marketing strategies. His recent work shows increasing integration of machine learning techniques with traditional marketing research methodologies.
Sandip Tiwari is the Charles N. Mellowes Professor in Engineering at Cornell University, leading the School of Applied and Engineering Physics. He holds a B.Tech in Electrical Engineering from IIT Kanpur (1976), M.Eng from Rochester Institute of Technology (1977), and a Ph.D. in Electrical Engineering from Cornell (1980). His research bridges semiconductor electronics/optics and nanotechnology, emphasizing cross-scale integration of devices and systems. He directs the U.S. National Nanotechnology Infrastructure Network (NNIN) and has held visiting roles at Stanford, Harvard, Columbia, and the University of Paris-Sud. Notable honors include the IEEE Cledo Brunetti Award, APS Fellowship, and IIT Kanpur's Distinguished Alumnus Award. Education: IIT Kanpur (B.Tech), Rochester Polytechnic Institute (M.Eng), Cornell (Ph.D.) Affiliations: NNIN Director, IEEE Transactions on Nanotechnology (founding editor), multiple visiting professorships Research focuses on nanoscale device physics, quantum phenomena in electronics, and societal applications of nanotechnology. His work integrates engineering principles with physical sciences to address challenges in scalable electronic systems and MEMs. Awards highlight his contributions to semiconductor physics and nanotechnology, including recognition from IEEE, APS, and IIT Kanpur. He also promotes global scientific collaboration through education initiatives and NNIN.
Dr. Philipp Porada is a Junior Professor of Ecological Modeling at the University of Hamburg, affiliated with the Department of Biology within the Faculty of Mathematics, Computer Science and Natural Sciences. He works at the Institute of Plant Sciences and Microbiology, specifically in the Applied Plant Ecology group, based at the Otto Warburg House. His research integrates process-based modeling with ecological field studies to investigate non-vascular vegetation, biogeochemical cycles, and climate-vegetation interactions across multiple temporal and spatial scales. Porada's research focuses primarily on non-vascular vegetation (bryophytes, lichens, and biocrusts), examining their role in global biogeochemical cycles, biodiversity-ecosystem functioning relationships, and paleoclimate dynamics. His work spans from contemporary ecosystem processes to geological time scales, with particular emphasis on the impacts of climate change on non-vascular communities. He has developed several process-based models including LiBry for lichen and bryophyte communities, LiDELS for soil-vegetation interactions, and LYCOm for early vascular plants. His research demonstrates how non-vascular vegetation influences carbon sequestration, water cycling, and soil processes across diverse ecosystems from urban forests to polar regions. Analysis of Porada's publication record reveals a strong interdisciplinary approach combining ecological theory, biogeochemistry, and computational modeling. His work spans multiple ecosystems including peatlands, drylands, urban forests, and coastal blue carbon systems. A consistent theme across his research is understanding how non-vascular vegetation mediates the relationship between environmental conditions and ecosystem functions. His most recent work increasingly focuses on climate change impacts and potential mitigation strategies through vegetation management. Porada leads two major research projects funded by the German Research Foundation (DFG): 'Effects of nutrient limitation on non-vascular vegetation under climate change' and 'The role of early plants for palaeoclimate dynamics'. These projects reflect his dual interest in contemporary environmental challenges and deep-time ecological processes. His collaborative work, evident in his extensive publication record with international researchers, demonstrates strong interdisciplinary connections across ecology, biogeochemistry, and climate science. Dr. Porada maintains an active research laboratory focused on ecological modeling, with particular expertise in non-vascular vegetation dynamics. His team develops and applies process-based models to address questions ranging from micro-scale lichen water relations to global biogeochemical cycles. The research group collaborates extensively with field ecologists, climate scientists, and biogeochemists to ground-truth model predictions and explore new ecological phenomena.
Gaston Chaumont is an Assistant Professor of Economics at the University of Rochester, affiliated with the Department of Economics in the School of Arts & Sciences. He holds a PhD from Penn State University (2019). His research focuses on Macroeconomics, International Macroeconomics, Labor Economics, and Monetary Economics, with particular emphasis on topics like sovereign debt dynamics, self-fulfilling crises, and wealth inequality. His academic background includes significant contributions to understanding the interplay between monetary policy and fiscal interactions, sovereign risk, and the role of firm behavior in economic activity. He has also explored behavioral finance phenomena, such as the GameStop and AMC stock market events, through the lens of self-fulfilling beliefs. His work frequently integrates empirical evidence, including scanner data and case studies from emerging economies like Chile. Chaumont’s publications span theoretical and applied research, addressing issues like debt crises, financial market liquidity, and the implications of search frictions in labor and asset markets. His research highlights the interconnectedness of macroeconomic stability, policy design, and market dynamics. No academic awards or grants are explicitly listed in the provided materials. While no advisee students are mentioned, his research trajectory suggests active involvement in mentoring graduate students through his academic role. He is based at 229 Harkness Hall, with contact details including a university phone line and professional webpage.
