Manolis Chatzis is an Associate Professor in the Department of Engineering Science at the University of Oxford and a Tutorial Fellow at Hertford College. His research focuses on dynamic systems and earthquake engineering, particularly modeling risks for unanchored structural and non-structural components subjected to ground motions. University of Oxford - Department of Engineering Science Hertford College - Tutorial Fellow His work on system identification and observability of nonlinear systems aims to optimize sensor setups for infrastructure reliability. Recent publications address discontinuous Kalman filters for non-smooth dynamics, energy loss in rocking bodies, and experimental validation of seismic response models. Applications span seismically isolated buildings, museum artifacts, hospital equipment, and supercomputers. Key research trends include: Nonlinear dynamics of rocking/sliding systems Bayesian identification methods Energy dissipation mechanisms 3D motion tracking algorithms Sensor fusion and data-driven modeling His publications since 2010 demonstrate interdisciplinary collaboration across civil, mechanical, and computational engineering domains.
Eleni Stai is an Assistant Professor at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), affiliated with the Division of Communication, Electronic and Information Engineering. She holds advanced degrees in Electrical Engineering, Mathematics, and Applied Mathematical Sciences from NTUA and the National and Kapodistrian University of Athens. Her academic credentials include: Diploma in Electrical and Computer Engineering, NTUA (2009) B.Sc. in Mathematics, National and Kapodistrian University of Athens (2013) M.Sc. in Applied Mathematical Sciences, NTUA (2014) Ph.D. in Electrical Engineering, NTUA (2015) Dr. Stai's research integrates advanced optimization techniques with communications networks and energy systems. She develops stochastic and deterministic optimization frameworks for network resource allocation, data analytics on complex topologies, and smart-grid control applications. Her work bridges theoretical foundations with practical implementations in energy-harvesting networks, network slicing, and reinforcement learning for distributed systems. Analysis of her recent publications reveals dominant research thrusts in AI-driven network management (particularly O-RAN and network slicing), energy-integrated communications, and optimization of energy communities. A significant portion of her work addresses the convergence of 5G/6G networking with power systems, emphasizing real-time control and sustainability. Her scientific contributions have been recognized through prestigious awards: Chorafas Foundation Best Ph.D. Thesis award Thomaidis Foundation Best M.Sc. Thesis award Best Paper Award at ICT 2016 Best Presenter Award at IEEE ENERGYCON 2022 Dr. Stai serves on technical program committees for major international conferences and has co-authored the book "Evolutionary Dynamics of Complex Communications Networks". She teaches undergraduate courses in Queuing Systems, Computer Networks, and Social Network Analysis, reflecting her expertise in network theory and applications. Her research trajectory demonstrates continuous evolution from fundamental network optimization to AI-enhanced solutions for next-generation communication-energy systems. Her work builds upon her postdoctoral experience at EPFL (2016-2020) and ETH Zurich (2020-2023), where she developed advanced frameworks for communications networks and energy systems.
Diego Guillermo Manzanal Milano is an Associate Professor in the Department of Continuum Mechanics and Structural Theory at the Technical University of Madrid. His current institutional affiliations include: Computational Mechanics Research Group (member since October 2020; Adjunto de Dirección General since September 2020) University Research Institute for Intelligent and Sustainable Civil Infrastructures (CIVILis) (member since November 2024) His research spans highly interdisciplinary domains at the intersection of engineering and computational sciences: Core mechanics: Computational Mechanics, Mechanics of Materials, Structural Theory Civil infrastructure systems: Building and Construction, Construction & Building Technology, Geotechnical Engineering Materials science: Multidisciplinary and Miscellaneous Materials Science applications Cross-cutting domains: Applied Mathematics, Computer Science Applications, Energy & Fuels, and Geological Engineering Emerging areas: Sustainable Civil Infrastructures, Interdisciplinary Computer Science in Engineering No scientific awards were documented in the provided information. Details regarding student supervision, research grants, or advising activities were not specified in the source text.
Christoph Gehlen is Professor and Chair of Materials and Materials Testing in Civil Engineering at the Technical University of Munich (TUM), based at Franz-Langinger-Str. 10 in Munich. His research group focuses on advanced concrete technologies, materials science, and digital construction methods, with significant contributions to additive manufacturing in civil engineering through the Collaborative Research Center TRR 277. His research spans concrete technology, durability assessment, and sustainable construction practices. Key interests include corrosion mechanisms in reinforced concrete, non-destructive testing methodologies, and additive manufacturing techniques like Selective Paste Intrusion (SPI). Recent work emphasizes 3D concrete printing for structural applications, life cycle assessment of printed elements, and fundamental studies on material behavior under environmental stressors including carbonation, chloride exposure, and freeze-thaw cycles. Analysis of his 15 most recent publications (2024-2025) reveals dominant research trajectories in digital fabrication of concrete structures, particularly SPI-based additive manufacturing. His work integrates materials science with structural engineering to develop functionally graded components, assess sustainability metrics, and solve reinforcement integration challenges. Significant interdisciplinary efforts address durability issues through electrochemical monitoring, coda wave interferometry, and advanced imaging techniques for concrete microstructure characterization. Gehlen leads the Chair of Materials and Materials Testing in Civil Engineering at TUM, which operates advanced laboratories for concrete characterization including confocal laser scanning microscopy and virtual testing environments. His team actively participates in TRR 277 (Additive Manufacturing in Construction), developing fabrication-aware design methods and experimental validation protocols for novel construction technologies.
Giuseppe Cavallaro is an Associate Professor at the Department of Physics and Chemistry , University of Palermo. His research focuses on nanotechnology , biopolymer composites , and cultural heritage conservation . Key research themes include: Halloysite clay nanotubes for drug delivery and pollutant removal Hybrid materials integrating chitosan , cellulose , and metal oxides Applications in sustainable agriculture , art conservation , and environmental decontamination Recent publications highlight his work on thermoresponsive nanocarriers , antimicrobial composites , and green building materials . Contact: giuseppe.cavallaro@unipa.it
Chiharu Tokoro is a Professor and currently serves as the Dean of the School of Creative Science and Engineering at Waseda University. She also holds positions as an External Director at Toppan Photomasks Inc. and JX Metals Corporation, and is a Specially Appointed Professor at The University of Tokyo's Graduate School of Engineering. With a Dr. Engineering degree from The University of Tokyo (2003), she has established herself as a leading researcher in resource recycling and environmental engineering, with over 184 papers and an h-index of 27 (Scopus) or 30 (Google Scholar). Dean of School of Creative Science and Engineering, Waseda University (2024.09-present) External Director, Toppan Photomasks Inc. (2023.11-present) External Director, JX Metals Corporation (2021.04-present) Specially Appointed Professor, The University of Tokyo, Institute of Industrial Science (2016.11-present) She received her Dr. Engineering degree from The University of Tokyo in March 2003 after completing her undergraduate studies at Waseda University's School of Science and Engineering (1994-1998). Professor Tokoro's research spans transport phenomena, metals production, earth resource engineering, energy sciences, and environmental materials recycling. She specializes in solid-liquid and solid-solid separation processes, powder simulation and processing, and environmental treatment technologies. Her work focuses on innovative recycling methods for lithium-ion batteries, photovoltaic panels, and other electronic waste, with particular emphasis on pulsed discharge techniques for material separation. She has pioneered novel electrical pulse methods that enable high-precision separation of battery components while minimizing environmental impact. Her recent publications demonstrate a strong focus on advanced recycling technologies, particularly for lithium-ion batteries and electronic waste. She has developed groundbreaking pulsed discharge methods for separating battery components with high precision, achieving over 95% material recovery rates. Her research also extends to water treatment technologies, heavy metal removal, and sustainable materials development. The interdisciplinary nature of her work bridges chemical engineering, materials science, and environmental engineering to address critical resource circulation challenges in the context of circular economy principles. Jubilee Global Diversity Award from The American Ceramic Society (2024) 令和4年度リサイクル技術開発本多賞 (2022) 5th APT Outstanding International Contribution Award (2022) Falling Walls Science Breakthroughs of the Year 2021 finalist in Engineering and Technology 平成31年度文部科学大臣表彰 科学技術賞 (2019) Professor Tokoro serves on numerous national and international committees related to resource recycling, environmental policy, and scientific research evaluation. She is an active editorial board member for several prestigious journals including Scientific Reports and Minerals. Her research is supported by various grants from government agencies and industry partnerships focused on sustainable resource management and circular economy development. She has been instrumental in developing policy recommendations for electronic waste recycling and resource conservation in Japan. As Dean of the School of Creative Science and Engineering at Waseda University, she leads one of Japan's premier institutions for engineering education and research. Her laboratory focuses on developing innovative recycling technologies, particularly for lithium-ion batteries and photovoltaic panels. She collaborates extensively with industry partners and government agencies to translate research findings into practical applications that address real-world resource circulation challenges.
Paolo Riva is a Full Professor of Structural Engineering at the Department of Design and Technologies of the Faculty of Engineering, University of Bergamo. He has served as Dean of the Faculty of Engineering (2009-2012) and Director of the Department of Engineering at the same university since 2012. His expertise lies in seismic engineering and structural analysis of reinforced concrete structures. Professor Riva graduated in Civil Engineering from Politecnico di Milano in 1984 and earned his Ph.D. in Civil Engineering from the University of Waterloo, Canada in 1987. He began his academic career as a researcher at the University of Brescia (1991-2001), became Associate Professor there in 2001, and joined the University of Bergamo as Full Professor in 2005. His primary research interests focus on the seismic behavior of reinforced concrete structures, particularly structural walls and prefabricated structures. He also specializes in seismic retrofitting of historic buildings, nonlinear analysis of reinforced concrete structures, and fire behavior of reinforced concrete structures. His work bridges theoretical analysis with practical applications for enhancing structural safety in earthquake-prone regions. Professor Riva's recent publications demonstrate a strong focus on seismic damage assessment, structural retrofitting solutions, and sustainability in structural engineering. His research often addresses practical challenges in post-earthquake scenarios, including damage identification through advanced monitoring techniques and development of innovative retrofit strategies for existing structures. A notable trend is his increasing emphasis on integrating sustainability principles into seismic retrofitting practices. Seismic Reliability of Structures (WP3 - Reluis), 2022, 24 months Structural vulnerability models for natural hazards and industrial cascading effects, 2024, 33 months Sustainable Approaches For Earthquake Resistant_REhabilitation solutions for the BUILT environment, 2024, 15 months Professor Riva has directed all these research projects as Scientific Director. His expertise has been recognized through appointments to post-seismic emergency commissions following major earthquakes in Italy, where he provided critical guidance on intervention methods for seismic repairs and improvements for public and monumental buildings.
George Vosselman is a Full Professor at the University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), specializing in Geo-Information Extraction with Sensor Systems. Educated with honours at Delft University of Technology (1986) and PhD in Photogrammetry from Rheinische Friedrich Wilhelms University of Bonn (1991), he has held academic roles at the University of Stuttgart, University of Washington, and Delft University of Technology (1993–2004). Since 2004, he has been a key figure at ITC, serving as department head (2012–2018, 2023–). Education: Delft University of Technology (BSc with honours, 1986), Rheinische Friedrich Wilhelms University of Bonn (PhD with honours, 1991) His research focuses on leveraging sensor technology advancements for large-scale geo-information production. Key expertise includes quality analysis of laser altimetry data, point cloud segmentation/classification, 3D building/road modeling, and model-driven imagery analysis. He has published over 220 papers and co-edited the textbook Airborne and Terrestrial Laser Scanning (2010). Recent work integrates deep learning with geospatial data, addressing semantic segmentation, visual question answering, and drone-based mapping. Recent publications (2025–2023) highlight trends in deep learning for remote sensing , including multimodal question answering benchmarks (HRVQA), vectorized building extraction (RoIPoly), latent diffusion for road modeling (LDPoly), and drone obstacle avoidance systems. His work bridges photogrammetry , computer vision , and robotic mapping , with applications in urban planning, disaster management, and informal settlement monitoring. Scientific Awards : Hansa Luftbild (1993), ISPRS Otto von Gruber (2000), Schwidefsky Medal (2012), Karl Kraus Medal (2012), ASPRS Fairchild Award (2015), ISPRS Fellow (2020) As an educator, Vosselman has taught photogrammetry, remote sensing, and laser scanning at Delft University of Technology and globally. He chaired the ITC Examination Board (2015–2023) and modernized geo-information education in Asia/Africa. His software for point cloud processing is commercialized in Europe, and he currently leads ISPRS working groups on point cloud methodologies. Labs/teams include the Earth Observation Science Chair Group at ITC, collaborating on UAV-based datasets (UAVid, UAVPal) and indoor laser scanning systems. Recent activities (2025) involve invited talks on pulse matching limitations in laser scanning and deep learning for point cloud classification.
Sarah E. Chasins is an Assistant Professor in the Electrical Engineering and Computer Sciences (EECS) department at the University of California, Berkeley, with research spanning programming languages and human-computer interaction. She leads the PLAIT Lab (Programming Languages for Approachable and Inclusive Tools) and serves as a faculty affiliate at the Berkeley Institute for Data Science (BIDS). Her work bridges computer science with social sciences, climate reporting, legal systems, and biological research through extensive collaborations. Dr. Chasins' research focuses on democratizing programming for non-traditional programmers including scientists, social scientists, journalists, and data scientists. Her work emphasizes creating approachable programming tools that help practitioners reach correct programs while understanding, extending, and trusting those programs. She specifically investigates program synthesis, programming tools for scientific domains, and human-centered programming language design. Her research mission aims to make programming a path to a more informed and evidence-driven society rather than just a way to get wrong answers faster. Her recent publications demonstrate a clear trajectory toward making programming more accessible and understandable. The work spans code search techniques, program synthesis approaches, refactoring tools, and studies of how domain experts interact with programming languages. A consistent theme across her research is placing human needs at the center of programming language design and implementation. Dr. Chasins actively mentors PhD students including Justin Lubin, Eric Rawn, Parker Ziegler, Sarah "Slim" Lim, Hellina Hailu Nigatu, David Minh-Duy Cao, and Marlena Preigh. She has previously advised numerous master's and undergraduate students who have gone on to work in both academia and industry. Her teaching includes core courses like CS164 (Programming Languages and Compilers) and specialized courses like CS294-184 (Building User-Centered Programming Tools) and CS39-001 (Technology, Society, and Power). She maintains an active service record in the programming languages community, having served on program committees for major conferences including PLDI, POPL, OOPSLA, and SPLASH. Notably, she co-chaired the Student Research Competition at PLDI 2020 and 2021 and has been involved in organizing workshops focused on programming languages and human-computer interaction.
Robert Nowak holds dual distinguished professorships as the Keith and Jane Morgan Nosbusch Professor in Electrical and Computer Engineering and the Grace Wahba Professor of Data Science at the University of Wisconsin–Madison. Based at the Discovery Building (330 N Orchard Street), he leads interdisciplinary research at the Wisconsin Institute for Discovery, bridging engineering with data science applications. His academic foundation includes: BS, MS, and PhD from the University of Wisconsin–Madison Post-doctoral Fellowship at Rice University Nowak's research program spans artificial intelligence, machine learning, and optimization with dual emphases on AI-driven health applications and systems optimization. His work integrates theoretical rigor with practical implementations, particularly in large language model fine-tuning, active learning frameworks, and neural network theory. Recent publications demonstrate strong focus on improving model efficiency, humor comprehension in AI systems, and theoretical bounds for retrieval-augmented generation. Analysis of his 15 most recent publications reveals dominant trends in large language model advancement (particularly humor understanding and task diversity), theoretical neural network analysis (including sparse architectures and multi-task learning), and novel active learning methodologies for open-world scenarios. His work consistently bridges theoretical machine learning with real-world applications in health and recommendation systems. While specific named awards aren't documented in the source material, his appointment to two endowed chairs (Nosbusch and Wahba professorships) represents exceptional institutional recognition of his scholarly impact. Nowak advises graduate students in the Electrical and Computer Engineering department and secures significant research funding, including NSF grants such as CIF: Small: Advanced Understanding and Applications of Deep Learning. His group operates within the collaborative ecosystem of the Wisconsin Institute for Discovery, fostering cross-disciplinary projects that integrate AI with health sciences and engineering systems. Current projects indicate strong momentum in human-AI collaboration frameworks and optimization of language model training pipelines.
Prof. Florian Zaussinger is a faculty member at the Faculty of Applied Computer and Life Sciences at Mittweida University of Applied Sciences. His research focuses on thermal convection, fluid dynamics, and numerical simulations in both geophysical and astrophysical contexts. He has contributed extensively to studies on microgravity experiments, including the GeoFlow and AtmoFlow projects conducted on the International Space Station (ISS). University: Mittweida University of Applied Sciences Faculty: Applied Computer and Life Sciences Department: Mathematics Contact: +49 3727 58-1381 | florian.zaussinger@hs-mittweida.de | Building 6, Room 6-131 His research involves advanced numerical modeling of complex fluid systems, including spherical convection, dielectric heating, and double-diffusive processes. He has developed and applied computational tools like the ANTARES code to simulate convection in DA white dwarfs, planetary atmospheres, and Earth's mantle. His work bridges theoretical fluid mechanics with experimental validation in space-based microgravity environments. Recent publications highlight his expertise in thermo-electrohydrodynamic convection, planetary fluid flow analysis, and microgravity-induced instabilities. While the scraped data does not list scientific awards or students directly, his academic profile emphasizes interdisciplinary collaboration with engineering and life sciences, particularly in applied mathematics for fluid dynamics and experimental data processing.
Yue Li is the Leonard Case Jr. Professor in the Department of Civil and Environmental Engineering at Case Western Reserve University. He specializes in resilient and sustainable infrastructure systems, focusing on structural reliability, probabilistic design, and climate change adaptation. His research addresses risk assessment for infrastructure under extreme events, including earthquakes, hurricanes, and climate impacts. Education: PhD in Civil Engineering, Georgia Institute of Technology, 2005 Research Interests: Dr. Li’s work integrates advanced statistical methods and data-driven approaches to enhance infrastructure resilience. Key areas include: Probabilistic modeling of structural systems Risk-informed decision-making for multi-hazard mitigation Climate change impacts on material durability and performance Asset management and lifecycle cost analysis Notable Contributions: His recent publications emphasize data-driven resilience metrics for water systems and seismic risk assessment for bridges. He has pioneered frameworks for evaluating infrastructure vulnerability under climate change, including corrosion effects and extreme weather adaptation. Awards: ABSE Outstanding Paper Award (2023) Case School of Engineering Teaching Award (2020) Nomination for John S. Diekhoff Award (2019) Leadership Roles: Dr. Li serves as Section Editor for the ASCE Journal of Structural Engineering and chairs multiple technical committees on safety and reliability. He leads initiatives to standardize multi-hazard design practices and resilience evaluation methodologies.
Sebastien Nicolas Gros is a Professor at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU). His research focuses on safe reinforcement learning (RL) and data-driven model predictive control (MPC), with applications in energy systems, biomedical engineering, and autonomous vehicles. Institution: Norwegian University of Science and Technology Department: Engineering Cybernetics His work emphasizes AI-driven optimization for domestic energy storage, battery integration, and smart building management. Collaborations include Equinor, DNV, Kongsberg, Volvo, and CorPower Ocean. Key themes in his publications include: Control theory for renewable energy systems (wave energy converters, buildings) Biomedical applications (artificial pancreas, glucose monitoring) Transportation systems (electric vehicles, autonomous ships) Machine learning integration with physical models He supervises 6 PhD students and co-supervises projects on multi-rotor wind turbines and industrial PhD collaborations. The articles demonstrate a convergence of RL, MPC, and uncertainty quantification across energy, biomedical, and transportation domains.
Dr. Christoph Trinkl serves as Head of the Institute of new Energy Systems (InES) at Technische Hochschule Ingolstadt, a position he has held since 2008. His work focuses on renewable energy technologies and sustainable energy systems development, with particular expertise in solar thermal applications and system integration. His research interests include: Green Technologies Renewable Energy Technologies Solar Energy Engineering Solar Heating and Cooling Renewable Energy Systems for Industrial, Domestic and Mobility Applications Technology Transfer and Network Management Dr. Trinkl's educational background includes a PhD in Engineering from De Montfort University Leicester's Institute of Energy and Sustainable Development (UK) in 2007, following his work as a researcher at Technische Hochschule Ingolstadt from 2001-2007. His degree course in Mechanical Engineering and Business (1997-2001) provided the foundation for his interdisciplinary approach to energy systems. His recent publications demonstrate a strong focus on practical applications of renewable energy technologies, particularly in solar thermal systems, heat pump integration, and district heating networks. His research spans from fundamental engineering analysis of collector technologies to large-scale system integration and optimization, with increasing emphasis on real-world implementation challenges and optimization techniques including AI-driven approaches. Dr. Trinkl's extensive publication record spanning over two decades shows an evolution from fundamental collector technology research to broader energy system integration, addressing both technical and practical implementation considerations across diverse contexts from industrial applications to rural energy access solutions.
Professor Pauleen Bennett is a leading scholar in Anthrozoology at La Trobe University's Bendigo campus, serving in the Department of Psychology, Counseling and Therapy within the College of Science, Health and Engineering since 2018. Her research program centers on human-companion animal relationships, particularly focusing on the psychological dimensions of human-dog bonds, veterinary wellbeing, and child-pet interactions. Her research interests span Anthrozoology , Human-Animal Relationships , and Companion Animal Psychology , with particular emphasis on dog behavior, veterinary burnout, and the therapeutic applications of human-animal bonds. Bennett leads the Anthrozoology Research Group (www.anthrozoologyresearchgroup.com) and has made significant contributions to understanding how animals impact human mental health across diverse contexts from farms to universities. Analysis of her recent publications reveals three dominant research trajectories: (1) human-animal relationship measurement tools development, (2) veterinary workplace wellbeing challenges, and (3) practical applications of human-animal bonds in agricultural, educational, and healthcare settings. Her work consistently bridges theoretical psychology with practical animal welfare applications. Bennett previously served as Associate Editor for Anthrozoos and on the board of the International Society for Anthrozoology. She co-supervises higher degree students across multiple Australian universities and maintains active community engagement through the Anthrozoology Research Group. Her funded research includes the Wildlife Victoria Inc Mental Health and Wellbeing Review (2021-2024), which developed recommended good practice guidelines for wildlife volunteer support programs. Bennett also serves as a consultant on human-animal interaction projects, translating academic research into practical community applications. Bennett maintains a productive research laboratory focused on human-animal interactions, with current projects examining puppy socialization practices, veterinary technician burnout, and the psychological benefits of animal-assisted interventions in university settings. Her Bendigo-based laboratory operates in close collaboration with Australian farms, veterinary clinics, and community organizations.
