Professor Gernot Sieg holds the Chair of Industrial Organization with a focus on Infrastructure and Transport Economics at the University of Münster, leading the Institute of Transport Economics. He previously served as Director of the Institute of Economics at TU Braunschweig and has held visiting positions at institutions like the University of Southern California. His academic background includes a Dr. rer. pol. (1993–1999) and Habilitation (1993–1999). Prof. Sieg’s research focuses on transport markets, regulatory economics, and infrastructure policy. Notable projects include the CRC 1385 on Law and Literature, evaluating bicycle traffic optimization (Leezenflow), and analyzing aviation slot regulations. He advises the Federal Ministry for Digital and Transport’s Scientific Advisory Board. His research interests span transport infrastructure financing, traffic flow dynamics, and environmental policy. Recent work addresses vehicle value externalities, phantom jam costs, and the economic impact of speed limits. He teaches courses on competition regulation, transport economics, and industrial organization. Prof. Sieg frequently engages with public policy debates, contributing to media discussions on infrastructure rehabilitation, climate policy, and mobility transitions. His work bridges academic research with practical policy solutions, emphasizing sustainable and equitable transport systems.
Sofie Haesaert is an Assistant Professor in the Control Systems group at the Department of Electrical Engineering, Eindhoven University of Technology. Her work focuses on formal verification and control synthesis methods for cyber-physical systems, particularly through stochastic simulation relations and temporal logic specifications. Education: BSc (cum laude) and MSc (cum laude) in Mechanical Engineering and Systems & Control from Delft University of Technology; PhD from Eindhoven University of Technology (2017) Experience: Postdoctoral researcher at Caltech (2017-2018), then returned to TU/e as Assistant Professor Her research interests include: Cyber-physical systems verification Stochastic control methods Temporal logic specification Markov decision processes Formal methods in control engineering Model abstractions and simulation relations Recent publications show strong focus on: Stochastic temporal logic control Robust and risk-aware control Multi-agent system verification Formal synthesis via simulation relations AI integration in control systems Software tools for formal control Scientific achievements: Veni Grant recipient (2020) Co-developer of the SySCoRe toolset for stochastic control synthesis Contributor to formal verification benchmarks through ARCH-COMP reports She contributes to education through courses on: Control principles for engineered systems Control challenges in autonomous racing Supervisory control of cyber-physical systems Haesaert collaborates across disciplines including computer science, applied mathematics, and robotics, with over 750 citations and significant contributions to formal control theory for stochastic systems. Her work bridges theoretical developments with practical applications in autonomous systems and complex control architectures.
Andrea Iannelli is a Tenure-Track Assistant Professor at the Institute for Systems Theory and Automatic Control (IST) , University of Stuttgart, Germany. He also serves as a faculty member of the International Max Planck Research School for Intelligent Systems (IMPRS-IS) and participates in the Cluster of Excellence Data-Integrated Simulation Science (SimTech) . His research focuses on reconciling model-based and data-driven approaches for robust and adaptive control of uncertain dynamical systems. Ph.D. : Control and Dynamical Systems, University of Bristol (UK), 2019 Postdoctoral Researcher : ETH Zürich (Switzerland), 2019–2022 Harnessing the intersection of control theory, optimization, and machine learning , Iannelli’s work addresses data-driven modeling, uncertainty quantification, and robust control with applications in energy systems, intelligent transportation, and industry 4.0 . His recent publications highlight trends in LPV frameworks, online convex optimization, and hybrid control systems , emphasizing safety and efficiency. He contributes to the academic community as an Associate Editor for the International Journal of Robust and Nonlinear Control and as a member of international conference IPCs. His group, Trustworthy Autonomy for Smart Adaptive Systems (TASAS) , mentors PhD students in projects spanning adaptive control, uncertainty quantification, and reinforcement learning .
Nuno Pinto is a Senior Lecturer in Urban Planning and Urban Design at the University of Manchester's School of Environment, Education and Development. He holds a PhD in Planning from BarcelonaTech (Spain) and a Civil Engineering degree from the University of Coimbra (Portugal). Previously, he held academic positions at the University of Coimbra and served as a Researcher at the Polytechnic Institute of Leiria. His research focuses on quantitative approaches to urban planning, including decision support systems, urban simulation, integrated transport planning, and big data applications. He is particularly known for his work on cellular automata models and agent-based simulations in urban policy analysis. Nuno has secured significant funding, including a £663k EPSRC grant for the 'Resilience Beyond Observed Capabilities Network+' and a £19k Turing-Manchester grant for VR analytics in digital twins. Teaching expertise spans data science applications in planning, GIS, and decision-support methods across multiple master's programs. He advises on PhD topics combining quantitative methods with Iberian/Latin American urban contexts. Nuno is a Fellow of the Higher Education Academy and recipient of the 2011 Breheny Prize for outstanding urban planning research. Notable projects include 'Synthetic Cities' digital twin frameworks, peri-urban climate change analyses (PERI-CENE), and cross-border collaborations like the FAPESP-University of Manchester initiative. Current research explores smart city strategies in Latin America and carbon accounting systems. Supervised over a dozen PhD students, including works on mobility decision systems, metropolitan data analytics, and serious gaming for urban participation. Active in professional networks such as the COST TU1408 Air Transport and Regional Development initiative.
Dr. Yinghe Qi is a Professor in the Department of Experimental Fluid Dynamics at ETH Zürich, Switzerland. His research focuses on multiphase flows, turbulence, and free-surface dynamics, with applications in aerospace, marine engineering, and computational fluid dynamics. He has contributed extensively to understanding bubble dynamics, flow instabilities, and turbulence modulation through experimental and phenomenological studies. Research Interests: Dr. Qi’s work addresses complex phenomena in multiphase flow instabilities free-surface turbulence deformable bubble dynamics supersonic jet interactions vortex-induced fragmentation machine learning in fluid dynamics Recent Publications: His recent studies (2023–2025) explore multiscale bubble deformation, free-surface turbulence structure, and supersonic jet-plume interactions. Key themes include turbulent fragmentation, vortex-bubble coupling, and novel computational methodologies. Laboratory Affiliations: He collaborates with the Coletti Group, Jenny Group, and Supponen Group at ETH Zürich, advancing experimental and computational techniques in fluid dynamics.
Rainald Loehner is a Distinguished Professor of Fluid Dynamics at George Mason University's Center for Computational Fluid Dynamics. Since 2003, he has led the Center for Computational Fluid Dynamics at George Mason University. He is currently a Hans Fischer Senior Fellow at the Technical University of Munich's Institute for Advanced Study (TUM-IAS) for 2023, hosted by Professors Kai-Uwe Bletzinger and Roland Wüchner in the 'Adjoint-Based System Identification of Large-Scale Structures' Focus Group. Loehner received his Diplom Ingenieur (Maschinenbau) degree from the Technical University of Braunschweig, and his PhD and a DSc in civil engineering from the University College of Swansea, Wales. After teaching at Swansea for a year, he worked at the Naval Research Laboratory in Washington, DC, followed by a research professorship at George Washington University. He joined George Mason University as an associate professor and was promoted to full professor in 1995 and distinguished professor in 2004. With over 35 years of experience, Professor Loehner's research spans the complete pipeline of numerical solvers and simulation tools. His expertise includes pre-processing, grid generation, numerical methods, field solvers, parallel computing, adaptive mesh refinement, fluid-structure interaction, shape optimization, system identification, and computational crowd dynamics. His current work focuses on developing advanced field solvers for compressible and incompressible flows, acoustics, electromagnetic wave propagation, heat and mass transfer, structural mechanics, and fluid-structure interaction. Key application areas include blast mitigation, ship hydrodynamics, blood flow, contaminant transport, and pedestrian safety. Loehner's recent research output (2020-2024) shows a strong trend toward digital twin technology and adjoint-based methods for structural analysis and optimization. His publications focus on high-fidelity digital twins for detecting structural weaknesses, risk assessment in engineering systems, and optimization of sensor placement. His work bridges computational mechanics with machine learning approaches, particularly in system identification and inverse problems, demonstrating how computational methods can solve complex real-world engineering challenges. 2020: Ranked #15119 in the Stanford List of Most Influential Scientists of the World; #8 in Aerospace and Aeronautics 2010: Distinguished International Career Award, Argentine Association of Computational Mechanics 2008: Fellow, International Association for Computational Mechanics 2006: Associate Fellow, AIAA 2005: Honorary Professor, University of Wales Swansea 2005: Advisory Professor, Shanghai Jiao Tong University 2004: Distinguished Professor of Fluid Dynamics, George Mason University 1999: Computational Mechanics Achievements Award, Japan Society of Mechanical Engineering 1993: Doctor of Science in Civil Engineering, University College of Swansea 1979-1983: Studienstiftung des Deutschen Volkes (Top 1% of German Students) Professor Loehner has mentored numerous students through his work at George Mason University and has supervised research in computational fluid dynamics, structural mechanics, and related fields. His research has been supported by various grants from government agencies and industry partners, enabling the development of advanced simulation tools applied in aerodynamics, hydrodynamics, shock-structure interaction, and medical applications. His codes and methods have been widely adopted in industry and academia for applications ranging from aircraft and ship design to medical simulations and urban pathogen transmission modeling. Loehner leads the Center for Computational Fluid Dynamics at George Mason University, which focuses on developing cutting-edge computational methods for fluid dynamics and related multiphysics problems. The center works on strategic application areas including blast mitigation, ship hydrodynamics, blood flow simulation, and pedestrian movement modeling. As a TUM-IAS Fellow, he collaborates with the Chair of Computational Modeling and Simulation at TUM on adjoint-based system identification of large-scale structures, bringing together expertise in computational mechanics and digital twin technology to address complex engineering challenges.
Dr. Ahmed F. Abdelghany is the Associate Dean for Research and Professor of Operations Management at the David O'Maley College of Business, Embry-Riddle Aeronautical University, since January 2006. He specializes in commercial airlines, airports, big data cloud computing, business analytics, and operations research models. Prior to his academic career, Dr. Abdelghany worked in enterprise optimization at United Airlines, Chicago. Education: Ph.D. in Civil Engineering (Transportation Systems) from the University of Texas at Austin (2001) Dr. Abdelghany’s research focuses on airline network planning, flight scheduling, simulation of complex transportation systems, and NextGen air traffic management. He has authored two influential books: Modeling Applications in the Airline Industry (Routledge 2010) and Airline Network Planning and Scheduling (Wiley 2018). His publications analyze airline operations, competitive dynamics, and crowd management in transportation facilities. He teaches courses like Airline Management (BA 315) and Airline Operations & Mgmnt (BA 609), and participates in industry short courses. Dr. Abdelghany contributes to research projects such as NextGen air traffic implementation, integrated airport initiatives, and benefit-cost analysis of arrival management systems. His work bridges academic theory with real-world airline and transportation challenges.
Prof. Dr.-Ing. Jana Bochert is a faculty member at the Faculty of Sustainable Infrastructure at Technische Hochschule Ingolstadt , specializing in Construction Informatics , Construction Mechanics , and Foundations of Civil Engineering . She focuses on seismic analysis, soil-structure interaction, and structural dynamics, particularly for critical infrastructure like nuclear power plants. Email: Jana.Bochert@thi.de Phone: +49 841 9348-2393 Office: Room CN115 Research Interests Her research centers on: Seismic soil-structure interaction Wave propagation in soil under dynamic loads Development of computational methods for structural analysis Dynamic response of nuclear power plant foundations Impact of transportation and demolition on soil vibrations Finite element modeling of civil structures Publications & Research Trends Her work spans 2008–2021 , with a focus on: Seismic safety protocols for nuclear infrastructure Time-domain modeling of soil dynamics Comparison of simulation methods (2D vs 3D) Acoustic and vibration analysis in urban environments Integration of soil nonlinearities into structural design Dynamic load effects from trains and demolition
Prof. Thomas Mussenbrock is a Full Professor (W3) of Applied Electrodynamics and Plasma Technology at Ruhr University Bochum, leading the Applied Electrodynamics and Plasma Technology department within the Faculty of Electrical Engineering and Information Technology. He holds a PhD from Ruhr University Bochum (2004) and habilitation (2009), previously serving as a professor at Brandenburg University of Technology (2016-2020). His research focuses on low-temperature plasmas, nanoelectronics, and plasma modeling, with applications in material processing and energy systems. Education: Bachelor's (1995) Bielefeld University of Applied Sciences Master's (1999) Ruhr University Bochum PhD (2004) Ruhr University Bochum Habilitation (2009) Ruhr University Bochum His research interests include plasma dynamics in atmospheric pressure jets, memristive devices for neuromorphic computing, and energy-efficient plasma processes. Recent work emphasizes CO₂ conversion via plasma jets, electron dynamics in capacitive discharges, and scalable plasma modeling techniques. He collaborates on projects like the TopING doctoral program and plasma catalysis initiatives. Publications span journals and conferences, with a focus on experimental and computational plasma physics. He advises on graduate studies and chairs faculty committees at Ruhr University Bochum.
Tarmo Lipping is a Professor in the Department of Computer Science and Engineering at the Faculty of Information Technology and Electrical Engineering, University of Oulu. His work bridges computing sciences with biomedical engineering, environmental modelling, and data-driven societal applications. Doctor of Science (Technology), Information Technology – Awarded 14 Feb 2001 Master of Science (Technology), Information Technology – Awarded 10 Sept 1993 His research focuses on electroencephalography (EEG) , mental workload assessment , depth of anesthesia monitoring , and machine learning applications in healthcare and human-computer interaction. He also contributes to environmental informatics , particularly in land uplift modelling and radionuclide transport , aligning with UN Sustainable Development Goals. Recent publications highlight trends in transformer networks for EEG analysis , wearable HCI systems , data-driven food safety , and participatory municipal governance . His work integrates deep learning, signal processing, and real-world deployment. Scientific awards include: CIMO opettajavaihto (2017) Lipping has supervised numerous master’s students and served as an examiner in diverse topics including data vault modelling , telecom revenue estimation , and EEG hyperscanning . He has evaluated funding applications, acted as a journal reviewer (65 times), and contributed to editorial work. His activities reflect strong engagement in academic service and interdisciplinary research mentorship. He has contributed datasets on Fennoscandian land uplift , lake isolation , and archaeological shorelines to PANGAEA, supporting open science in geosciences and environmental history.
Kristin Y. Pettersen is a Professor at the Norwegian University of Science and Technology (NTNU) in the Department of Engineering Cybernetics, Faculty of Information Technology and Electrical Engineering. She holds a PhD and MSc in Engineering Cybernetics from NTNU and serves as an Adjunct Professor at the Norwegian Defence Research Establishment (FFI). She co-founded and led Eelume AS as its first CEO. PhD in Engineering Cybernetics, NTNU MSc in Engineering Cybernetics, NTNU Her research focuses on nonlinear control theory, motion control of mechanical systems, and marine robotics. Key areas include autonomous vehicles, underactuated systems, and cooperative control. Her recent work involves snake robotics, vehicle-manipulator systems, and safety-critical control algorithms. Her publications demonstrate trends in marine robotics , nonlinear control systems , autonomous navigation , formation control , and adaptive algorithms . Emerging topics include energy-shaping control , extremum-seeking optimization , and task-priority frameworks for complex robotic systems. 2025: Norwegian Academy of Science and Letters (DNVA) 2020: ERC Advanced Grant 2017: IEEE Fellow 2016-2021: Board member, Eelume AS 2013-2023: Key scientist, NTNU AMOS She has supervised 30 PhD graduates and currently mentors 16 PhD candidates. Her grants include ERC PoC UR4energy (€150k), ERC AdG CRÈME (€2.5M), and CAROS (NOK 45M) for subsea autonomy. She leads teams at NTNU's Applied Underwater Robotics Laboratory and contributes to the Cluster of Excellence IntCDC.
Hao Yang is an Assistant Professor in the Department of Civil and Systems Engineering at Johns Hopkins University, with dual affiliations at the Johns Hopkins Data Science and AI Institute and the Johns Hopkins Institute for Assured Autonomy. His research develops Trustworthy Machine Learning methods to enhance urban mobility systems, focusing on traffic safety, equity, and sustainability through ethical AI and human-machine cooperative systems. Yang earned dual bachelor's degrees in Electrical and Computer Engineering from Beijing University of Posts and Telecommunications and the University of London, followed by a Ph.D. in Civil Engineering (Transportation) from the University of Washington. His educational background bridges telecommunications, electrical engineering, and transportation systems. His research integrates spatio-temporal modeling, assured autonomous systems, and multimodal representation learning to address transportation equity and safety. Key projects include edge-AI-powered traffic surveillance, real-time crash identification, and cooperative signal assistance for vulnerable road users. His work emphasizes ethical AI deployment in cyber-physical infrastructure to create sustainable urban mobility solutions. Recent publications reveal a strategic shift toward large language models and multimodal AI for transportation challenges, with strong emphasis on explainability, reliability, and equity in traffic crash prediction, flow forecasting, and autonomous driving systems. This evolution demonstrates his commitment to adapting cutting-edge AI for real-world transportation problems. Yang's scientific contributions have earned significant recognition: Michael Kyte Outstanding Student of the Year Award (2022) High-Value Research Award from AASHTO (2022) Best Paper Award from TRB Information Systems Committee (2023) Best and Outstanding Dissertation Awards (2024) IEEE DTPI Outstanding Paper Award (2022) TRANSFOR22 Data Competition 2nd place (2022) ASCE Bridges Photo Contest First Place (2021) He actively mentors graduate researchers and seeks 2-3 PhD students for Fall 2025 to advance trustworthy AI in transportation. His research is supported by NSF, USDOT, and AASHTO grants including the Real-Time Truck Parking Information System project that received the High-Value Research Award. Current work focuses on edge-AI for traffic safety and multimodal data integration. Yang leads research within Johns Hopkins' Data Science and AI Institute and Institute for Assured Autonomy, collaborating with Transportation Research Board committees. His lab develops real-time perception systems using edge computing and representation learning, with active projects on non-motorized user safety and equitable traffic management for people with disabilities.
Prof. Ady Arie is a Professor of Electrical Engineering at Tel Aviv University, where he serves as the Head of the Tel Aviv University Center for Light-Matter Interaction and holds the Marko and Lucie Chaoul Chair in Nano-Photonics. He has been a faculty member at the Iby and Aladar Fleischman Faculty of Engineering since 1993, previously serving as Head of the School of Electrical Engineering (2013-2017) and Vice Dean of Research (2011-2013). His educational background includes: B.Sc. in Mathematics and Physics from Hebrew University of Jerusalem (1983) M.Sc. in Physics from Tel-Aviv University (1986) Ph.D. in Engineering from Tel-Aviv University (1992) Prof. Arie's research spans multiple frontiers of optics and photonics. His work in nonlinear optics focuses on advanced frequency conversion techniques and shaping of light parameters using nonlinear photonic crystals. In quantum optics , he develops quantum light sources based on spontaneous parametric down conversion and explores applications in quantum sensing and communication. His plasmonics research investigates manipulation of surface plasmon polaritons on metal surfaces. In electron optics , he studies electron-matter-light interactions and techniques for sculpting electron wave functions. His lab also explores hydrodynamics through quantum simulations with water waves, creating analogies to quantum mechanical phenomena. Analysis of Prof. Arie's recent publications (2023-2025) reveals a strong focus on quantum technologies, particularly in quantum light generation, quantum sensing, and quantum information processing. His work increasingly integrates concepts from nonlinear optics, electron microscopy, and quantum physics, with growing emphasis on practical applications in quantum communication and computation. The research shows sophisticated manipulation of light-matter interactions across multiple platforms including nonlinear photonic crystals, plasmonic structures, and electron beams. Prof. Arie has received significant recognition for his work: Kadar Foundation Award for Excellence in Research (2016) Fellow of the Optical Society of America Editorial roles including Topical Editor of Optics Letters (2008-2014) and Associate Editor of Optica (since 2018) Prof. Arie leads the Nonlinear Optics and Wave Propagation Laboratory at Tel Aviv University, where his team investigates diverse wave phenomena from light frequency conversion to electron beam manipulation. He has served as chair of the national steering committee of the Israeli Planning and Budgeting Committee on Quantum Science and Technology. His research has been supported by various grants enabling the development of novel optical technologies and quantum systems. While specific grant details aren't provided in the text, his extensive publication record and leadership positions suggest substantial research funding. Prof. Arie's laboratory focuses on the intersection of classical and quantum wave phenomena. The lab investigates light manipulation through nonlinear optical processes, plasmonic structures, and electron microscopy techniques. Current research directions include quantum light generation, electron-photon interactions, and hydrodynamic analogs to quantum systems. The lab appears well-equipped for advanced optical experimentation with capabilities spanning visible to infrared wavelengths, nonlinear crystal engineering, and electron beam characterization.
Deg-Hyo Bae is a Professor in the Department of Civil and Environmental Engineering at Sejong University, serving since 2001, and concurrently holds the position of University President since 2018. His academic career spans leadership roles including Assistant/Associate Professor at Changwon National University (1996-2001), Senior Researcher at Yonsei University (1994-1996), and Researcher at the US Department of Agriculture-ARS (1992-1994). His research focuses on critical water security challenges through advanced hydrological modeling and climate impact assessment. His academic credentials include a Ph.D. (1992) and M.S. (1989) from the University of Iowa, and a B.S. from Yonsei University (1983). These qualifications form the foundation for his interdisciplinary expertise bridging civil engineering, atmospheric science, and environmental informatics. Professor Bae's research program centers on atmosphere-surface interactions, climate-driven hydrological extremes, and real-time prediction systems. His work integrates radar meteorology, GIS analytics, and climate modeling to develop operational tools for flood forecasting, drought monitoring, and transboundary water management. Major achievements include the Global Water Bank system and coupled atmosphere-urban flood models, directly supporting UN Sustainable Development Goals for clean water and climate action. Recent publications (2024-2025) reveal a strategic shift toward AI-enhanced hydrology, combining Bayesian uncertainty quantification with deep learning for streamflow prediction. His work increasingly addresses climate change impacts on extreme events in vulnerable regions like Burundi while exploring teleconnection mechanisms such as ENSO-ozone interactions through CMIP6 frameworks. Professional activities include media coverage of Sejong University's research impact (2021-2022) and international collaborations with Slovak presidential advisors. While specific grant details and student advising records aren't documented in the source material, his 111 publications and h-index of 25 demonstrate significant scholarly influence in water resources engineering.
Ergin Tönük serves as an Associate Professor in the Mechanical Engineering Department at Middle East Technical University (METU) in Ankara, Turkey. With a career deeply rooted at METU where he earned all his degrees, he maintains an active research profile with office B-319 and contact details tonuk@metu.edu.tr and +90 312 210 5293. His academic credentials include: Bachelor's Degree (B.Sc.) from METU, 1990 Master's Degree (M.Sc.) from METU, 1992 Ph.D. from METU, 1998 Professor Tönük's research spans Pneumatic Tires, Finite Element Analysis, Mechanism Synthesis, Soft Tissue Biomechanics, and Railway Vehicles. His biomechanics work focuses on computational modeling of biological systems including joint mechanics, tissue behavior, and medical device development. Tire and railway research leverages his mechanical engineering expertise for transportation applications, while his mechanism design studies address complex kinematic problems. Analysis of his 2016-2025 publications reveals a strong biomedical trajectory with emphasis on orthopedic applications. Key themes include hand/knee joint modeling, tissue engineering scaffolds, gait/posture analysis systems, and viscoelastic material characterization. His methodological signature combines finite element analysis with experimental validation, particularly in soft tissue mechanics and surgical simulation. While specific advising records and grant details aren't provided, his 70+ publications indicate substantial graduate mentorship and research funding acquisition. His work aligns with biomechanics and computational mechanics groups within METU's Mechanical Engineering Department, though dedicated laboratory facilities aren't specified in available sources.
