Prof. Dr. Dominik Schwarz is a faculty member at the Faculty of Physics , Bielefeld University. His research focuses on Cosmology and Particle Physics , particularly in the areas of Dark Energy , Dark Matter , Cosmological Inflation , and Large-Scale Structure Formation . He contributes to projects like the International LOFAR Telescope Consortium and the SFB-TRR 211 on strongly interacting matter. APART Fellow of Austrian Academy of Sciences Humboldt Fellow CERN Fellow His recent work explores the cosmic dipole anisotropy , axion density perturbations , and multi-wavelength cosmic web mapping . He also advances data science infrastructure through the PUNCH4NFDI consortium.
Professor Nicole Metje is a Professor of Infrastructure Monitoring at the Department of Civil Engineering, University of Birmingham, and Director of the National Buried Infrastructure Facility. She also serves as Co-director of the Institute of Quantum Technology. Her research focuses on quantum sensing, geotechnical engineering, and infrastructure monitoring, with a particular emphasis on buried infrastructure detection and sustainable urban development. Education: PhD in Civil Engineering (University of Birmingham, 2001); Dipl.-Ing. in Civil Engineering (Hannover University, Germany, 1998). Key roles and affiliations include membership in EPSRC Infrastructure Strategic Advisory Team, Chartered Institution of Civil Engineering Surveyors, and international advisory boards for Hong Kong Polytechnic University. She has authored/co-authored over 50 journal papers and a textbook on tunnel construction. Research areas include quantum sensor applications for buried asset detection, geophysical soil properties, and sensor development for infrastructure monitoring. She leads projects such as UKCRIC National Buried Infrastructure Facility and Quantum Technology Hub in Sensors and Metrology. Awards and fellowships include FICE, FCInstCES, CEng, FHEA, and multiple committee memberships in national/international bodies. Teaching includes MSc courses on underground construction and geotechnical engineering. She supervises doctoral research on quantum sensors, soil-structure interactions, and sustainable infrastructure.
Mo Mansouri is a Teaching Professor and Director of Graduate Studies at the Department of Systems and Enterprises, Charles V. Schaefer, Jr. School of Engineering and Science, Stevens Institute of Technology. He also serves as a Visiting Professor at the University of North-Eastern Norway, highlighting his international academic engagement. His leadership extends to directing Systems Engineering and Socio-technical Systems Programs, underscoring his central role in shaping academic and research initiatives in systems engineering. Education: PhD in Engineering Management, The George Washington University (2004) MS in Industrial Engineering, University of Tehran (1999) BS in Industrial Engineering, Sharif University of Technology (1997) Dr. Mansouri's research is centered on computational governance frameworks , resilience design , and behavioral modeling in complex socio-technical systems . His work applies systems thinking to urban systems, smart cities, infrastructure, and healthcare, with a strong emphasis on data-driven policy design and multi-stakeholder coordination. He investigates how real-time data, sensing, and analytics can inform governance in complex environments such as transportation, energy, and public health systems. His recent publications (2023–2024) reveal a strong trend toward AI and digital transformation in healthcare , electric and urban mobility systems , and pandemic and societal resilience . These works frequently employ systems thinking, systemigram modeling, and system of systems engineering methodologies, published in IEEE, INCOSE, and IARIA venues. The interdisciplinary nature of his research spans engineering, policy, and human behavior. Scientific Awards and Recognitions: While specific awards are not listed in the provided text, his leadership roles and extensive funding indicate high professional recognition. Advising and Grants: Dr. Mansouri has served as Principal Investigator (PI) or Co-PI on multiple high-value research grants totaling millions of dollars from DoD, Lockheed Martin, NED, and FAA. These projects focus on capability assessment, smart city dashboards, governance modeling, and social development. He mentors students through doctoral and master’s level courses and research, though specific advisee names are not provided. Labs and Research Teams: While specific lab names are not mentioned, his research is conducted within the Department of Systems and Enterprises at Stevens, involving collaborations with students and professionals in areas such as smart cities, healthcare systems, and infrastructure resilience. His work with international institutions and professional societies indicates active participation in global research networks.
Yuri Bazilevs is the E. Paul Sorensen Professor of Engineering at Brown University's School of Engineering and Co-Director of the Mechanics of Undersea Science and Engineering Center. His research focuses on computational mechanics, isogeometric analysis, fluid-structure interaction, and high-performance computing. Prior to Brown, he held positions at UC San Diego, where he advanced to Full Professor in 2014 after a rapid tenure. He earned his PhD in 2006 and postdoc training in computational engineering at UT Austin's ICES. Research interests span computational fluid dynamics, solid mechanics, and advanced discretization methods like isogeometric analysis (IGA) and meshfree approaches. He has developed novel formulations for complex phenomena such as underwater explosions, composite material failure, and hypersonic flow dynamics. His work integrates cutting-edge numerical methods with practical engineering applications in aerospace, energy, and biomedical systems. Recent publications highlight advancements in IGA for architected materials, RKPM-based crack modeling, and stabilized formulations for compressible flows. His contributions bridge theoretical mechanics with computational innovation, addressing challenges in multiphysics coupling and large-scale simulations. Collaborations span academia and industry, emphasizing practical validation and real-world impact. Bazilevs' expertise includes variational multiscale methods, peridynamics for fracture mechanics, and immersive particle methods for fluid-structure interaction. His work has been applied to wind turbine aerodynamics, gas turbine optimization, and cardiovascular flow analysis. He actively contributes to computational infrastructure development, such as the tIGAr software framework for IGA automation.
Professor Behzad Fatahi is a distinguished academic in Civil and Environmental Engineering at the University of Technology Sydney (UTS), specializing in geotechnical engineering, railway infrastructure, and sustainable construction technologies. With a career spanning over 16 years at UTS, he has served as Deputy Head of School - Teaching and Learning (2024-present), Head of Discipline (2020-2024), and School Research Coordinator (2012-2017). His research focuses on unsaturated soil mechanics , dynamic soil-structure interaction , and green infrastructure solutions . Academic Appointments : Professor (2024-present), Associate Professor (2017-2024), Senior Lecturer (2011-2017), Lecturer (2008-2011) Research Leadership : Supervised 21 PhD students to completion, developed groundbreaking techniques for landfill waste reuse and tyre-derived aggregates in railway construction His work on seismic resilience of LNG tanks and bioengineered soil stabilization has received international recognition, including the 2023 Best Research Paper Award at the Australasian Association for Engineering Education conference. Professor Fatahi's industry experience includes geotechnical engineering roles at Coffey International and SES Engineering prior to academia. Key Research Contributions : Developed green corridor models for railway lines using coupled flow-deformation equations Pioneered AI-integrated teaching frameworks for civil engineering education Advanced machine learning techniques for intelligent compaction and structural buckling analysis As a Category 1 supervisor , he mentors graduate researchers in Civil Engineering , Geomechanics , and Earthquake Engineering . His peer-reviewed work (>240 publications) demonstrates technical excellence and innovation across multiple geotechnical domains.
Irina Oleinikova is a Professor at the Norwegian University of Science and Technology (NTNU) in the Department of Electric Energy, Faculty of Information Technology and Electrical Engineering. She leads the Power System Operation and Analysis research group and serves as the NTNU Smart Grid Team Leader. She is a steering committee member of the European Energy Research Alliance (EERA) Joint Programme on Smart Grids and an expert in the International Smart Grid Action Network (ISGAN) WG6. Research Interests : Power System Operation, Digital Power System Protection and Control, Grid Resilience, Energy Flexibility, Cybersecurity in Power Systems, and Hydrogen Technology Integration. Her work focuses on advancing smart grids, grid flexibility, and cybersecurity through projects like FME CINELDI, HONOR, ASAP, and ZeroKyst. Key Projects : CINELDI : Developing intelligent electricity distribution grids. HONOR : Cross-sectoral energy flexibility markets. ASAP : Next-generation system protection schemes. ZeroKyst : Hydrogen and charging infrastructure along Norway’s coast. COSPAT : Stability of AC/DC transmission grids via co-simulation. Advising & Grants : Supervises PhD students in digital protection and cybersecurity. Active in projects funded by RCN, STATNETT, and EU Horizon 2020. Leads the Power System Operation and Analysis group and collaborates with SINTEF and industry partners. Labs/Teams : NTNU Smart Grid Team and the Power System Operation research group.
Yang (Gilbert) Ye is an Assistant Professor in the Department of Civil and Environmental Engineering at Northeastern University, joining in January 2025. His research focuses on human-AI/robot teaming, automation in engineering, and assistive technologies, with a particular emphasis on human-centric robotics and sensorimotor processes. He holds a PhD in Civil Engineering from the University of Florida (2024), advised by Dr. Eric Jing Du. **Affiliations**: Member of ASCE, IEEE, and HFES. His work integrates VR/AR, robotics (e.g., drones, exoskeletons), and AI to enhance civil engineering workflows and workforce training. He leads the Ye Lab, actively recruiting PhD students and postdocs with coding experience (Python/C++/C#) and backgrounds in engineering or computer science. **Key Research Themes**: Human-robot interaction, construction automation, exoskeleton training, and delayed feedback mitigation in teleoperation. Over 20 peer-reviewed publications in journals like ASCE JoCEN, IEEE Access, and Advanced Engineering Informatics. **Lab Opportunities**: PhD/postdoc applicants require strong academic records (GPA ≥3.5) and coding skills. Undergrad/master students can apply for thesis/research roles. Funding covers tuition, insurance, and stipends.
Jacob Østergaard is a Professor and Head of the Division for Power and Energy Systems at DTU Wind and Energy Systems, Technical University of Denmark. His research focuses on renewable energy systems, offshore wind power hubs, and quantum computing applications in energy systems. He leads initiatives like EnergyLab Nordhavn and PowerLabDK, emphasizing collaboration between academia and industry. Education: MSc in Electrical Engineering from DTU (1989–1995). External positions include roles at Research Institute of the Danish Electric Utilities and Ørsted (now SK Energy). Research Interests: Power system stability, flexibility markets, offshore wind energy, quantum computing in energy systems, Power-to-X, and energy storage. He advocates for integrated, market-based energy systems to achieve the green transition. Publications highlight quantum computing for grid optimization, offshore energy hubs, and Denmark’s energy island strategy. Recent work emphasizes scientific advice for energy policy and green hydrogen production. Awards: A. Angelo’s Prize (1996), AEG Electron Prize (2007), Danish Design Award (2019), and EU RESponsible Island Prize (2020). Advising and Grants: Supervises PhD students in grid integration and control. Active in projects like OEH (Offshore Energy Hubs) and BOSS (Battery Energy Storage System). His work drives Denmark’s energy policy through roles on Energinet’s board and the Danish Energy Commission. Labs/Teams: Leads PowerLabDK and EnergyLab Nordhavn, experimental facilities for smart grid and energy system research.
Tobias Hermann serves as an Associate Professor at the University of Oxford's Department of Engineering Science, where he leads research within the Oxford Thermofluids Institute and holds a prestigious UKRI Future Leaders Fellowship. Affiliated with St. Hilda's College as an Associate Research Fellow, his work centers on experimental hypersonics and advanced diagnostic development for extreme aerospace environments. Hermann earned his Dipl.-Ing. in Aerospace Engineering from the University of Stuttgart (2012) followed by a Dr.-Ing. degree (2017), with doctoral research focused on spacecraft re-entry phenomena and aerothermochemistry during atmospheric entry. His thesis involved developing optical diagnostics including Vacuum Ultraviolet spectroscopy and tomographic emission systems. His research program emphasizes experimental hypersonics and plasma flows , with core expertise in spacecraft re-entry physics , high-temperature material-flow interactions , and optical diagnostic innovation . Hermann pioneered analytical methods for transpiration cooling in porous media and developed system engineering tools for thermal protection systems. His current work bridges fundamental fluid dynamics with practical aerospace applications, particularly in hypersonic vehicle design and re-entry simulation through facilities like the T6 expansion tube. Analysis of Hermann's publication record reveals consistent focus on high-enthalpy flow diagnostics and thermal protection systems , with recent work advancing expansion tube capabilities for boost-glide re-entry simulation, integrated arc-jet facilities for ablating models, and vacuum ultraviolet spectroscopy for plasma flow characterization. His research demonstrates strong integration of experimental validation with analytical modeling across hypersonic testing regimes. Hermann's scientific recognition includes: UKRI Future Leaders Fellowship (2021-present) As an educator, Hermann supervises 4th-year undergraduate projects and DPhil (PhD) students in hypersonics while teaching Thermodynamics and Fluid Mechanics. His current research portfolio—primarily funded through his UKRI Fellowship—comprises three major thrusts: development of high-enthalpy wind tunnels (including the multi-mode T6 facility), pre-heating of hypersonic models using plasma flows, and advancement of measurement techniques like spatially resolved UV-nIR spectroscopy. These projects address critical gaps in hypersonic testing infrastructure and instrumentation. Hermann directs experimental efforts at Oxford's Southwell Laboratory within the Oxford Hypersonics group, operating facilities including the T6 Stalker tunnel, OPG1 plasma wind tunnel, and specialized arc-jet systems. His team develops cutting-edge instrumentation such as vacuum ultraviolet spectroscopy systems, high-speed focused Schlieren, and pressure-sensitive paint diagnostics to investigate complex phenomena in hypersonic boundary layers and re-entry flows.
Abhijit Sarkar is a Professor in the Department of Civil and Environmental Engineering at Carleton University, Ottawa. His work centers on computational dynamics and probabilistic modeling, with office MC 3076 in the Minto Centre for Advanced Studies in Engineering and contact details including phone (613) 520-2600 x6320 and email abhijit_sarkar@carleton.ca . Education: D.Phil. from University of Oxford M.Sc. from Indian Institute of Science (IISc) B.E. from Calcutta University Professional Engineer (P.Eng.) designation His research drives innovation in uncertainty quantification for complex engineering systems. Core interests include dynamics of nonlinear structures, probabilistic mechanics for stochastic finite element methods, and Bayesian inference frameworks for parameter estimation. He pioneers scalable high-performance computing solvers for large-scale systems and sparse learning algorithms to address overfitting in statistical modeling. Recent publications (2022-2024) reveal three dominant trends: (1) Bayesian model calibration for stochastic compartmental systems applied to epidemiology and aerospace, (2) domain decomposition techniques for scalable uncertainty quantification in stochastic PDEs, and (3) sparse learning methods for nonlinear aerodynamic encoding. Key applications span wind turbine vibration analysis, flutter margin prediction, MEMS resonator optimization, and geospatial pandemic modeling. Scientific awards: No awards, fellowships, or medals listed in the source material Graduate supervision includes 6 current students (Ajay Kumar, John Clarabut, Nastaran Dabiran, Sakhi Mittal, Michael Pantano, Brandon Robinson) and 18 graduated students across 17 years (2006-2023). His research leverages high-performance computing for projects in structural dynamics, aeroelasticity, and computational epidemiology, frequently co-supervised with Dominique Poirel and Chris Pettit. Notable grants focus on wind tunnel validation for nonlinear systems and pandemic spread modeling. Based in the Minto Centre for Advanced Studies in Engineering, his computational mechanics group develops algorithms for stochastic dynamics using Carleton University's high-performance computing infrastructure. Collaborations span aerospace engineering (flutter analysis), civil infrastructure (seismic wave propagation), and public health (Covid-19 modeling).
Lakshmi N Sankar serves as Regents Professor and Sikorsky Professor in the Guggenheim School of Aerospace Engineering at Georgia Institute of Technology, where he directs the Computational Fluid Dynamics Laboratory and teaches aerodynamics, helicopter theory, and wind energy courses. His research program spans unsteady viscous flow modeling for aircraft, helicopters, and wind turbines since joining the faculty in 1982 after industry experience at Lockheed Martin. Education: Ph.D., Aerospace Engineering, Georgia Institute of Technology, 1977 MSAE, Aerospace Engineering, Georgia Institute of Technology, 1975 B. Tech., Aeronautical Engineering, Indian Institute of Technology, Madras, India, 1973 Research Focus: Professor Sankar's work centers on Computational Fluid Dynamics for rotorcraft aerodynamics and wind energy systems , with significant contributions to icing phenomena and unsteady flow modeling . His recent publications reveal intensifying focus on adverse weather effects (rain/icing), eVTOL conversion challenges, and high-fidelity hybrid modeling techniques for rotorcraft performance prediction. Publication Trends: Analysis of his 2022-2025 publications shows dominant themes in rotorcraft icing (35%), weather impact studies (25%), and advanced CFD methodologies (20%), with growing interest in drone applications and mathematical aspects of fluid dynamics. His work consistently bridges theoretical mathematics with practical aerospace engineering challenges. Scientific Recognition: AIAA Fellow and AHS Technical Fellow NASA Group Achievement Award (2007) and Space Act Software Release Award (2003) Multiple Sigma Gamma Tau Teaching Awards (2005-2015) Dean George C. Griffin Faculty of the Year (2014-2015) Sikorsky Professorship (2018-Present) Mentorship and Collaboration: As recipient of Georgia Tech's Graduate Research Assistant Development Award, he has cultivated extensive student mentorship. His research integrates with the Vertical Lift Research Center of Excellence and Center for 21st Century Universities, securing major industry and NASA funding for rotorcraft innovation. Current projects include physics-based modeling of ice accretion and eVTOL retrofit feasibility studies. Research Infrastructure: The Computational Fluid Dynamics Laboratory serves as his primary research hub, complemented by collaborations through the Vertical Lift Research Center of Excellence where his team develops next-generation modeling tools for military and civilian rotorcraft applications under federal funding programs.
Professor Göran Broström works at the Department of Marine Sciences at the University of Gothenburg . His research focuses on physical oceanography, marine turbulence, tidal energy systems, and biophysical processes in marine ecosystems. Current research themes include methane emissions from ocean infrastructure, turbulence in tidal flows, and wave-current interactions He utilizes advanced numerical modeling (e.g., Large Eddy Simulation, Bayesian inversion) and field observations Recent publications emphasize climate impacts (methane plumes), tidal energy innovations, and marine ecological connectivity His work appears in high-impact journals like Nature , Molecular Ecology , and Frontiers in Marine Science . Collaborative projects span oceanographic modeling, environmental monitoring, and marine renewable energy. No specific student advising information appears in the provided text.
Richard Jardine is a Professor of Geomechanics in the Department of Civil and Environmental Engineering at Imperial College London's Faculty of Engineering. He also serves as a College Proconsul and co-chairs the College Artworks Group. His work spans advanced geotechnical research, offshore renewable energy foundations, and international collaboration. Research Interests: His expertise includes soil properties, advanced laboratory and field measurement techniques, soil characterization, offshore geotechnics, foundation analysis, slope stability, driven pile behavior, soft ground engineering, full-scale monitoring, geotechnical instrumentation, and cold region geotechnics. His research is central to climate change adaptation and renewable power systems. Publication Trends: Recent articles focus on the mechanical behavior of chalk, sand, and glacial tills under monotonic and cyclic loading, particularly in offshore contexts. Emphasis is placed on numerical modeling (FE, MPM), pile-soil interaction, aging effects, and design method validation for offshore wind foundations. Fellow of the Royal Society (2024) Fellow of the Royal Academy of Engineering (2002) RAEng Medal (1997) British Geotechnical Association Medal (1990, 2015, 2021, 2023) Canadian Geotechnical Society Quigley Award (2019) ISSMGE McClelland Honour Lecture (2023) BGA Rankine Lecture (2016) Advising and Grants: Richard has led major international Joint Industry Projects including ALPACA, PISA, PAGE, and Unified Pile Design Method JIP, involving partners such as Orsted, NGI, Fugro, Oxford, and Zhejiang University. He has advised UK government, contractors, and energy firms on offshore projects in the Baltic Sea, Taiwan Strait, and North Sea. He holds a Royal Society Newton Advanced Fellowship with ZJU. Labs and Teams: He leads research within Imperial’s Geotechnics group and the Imperial Centre for Geohazards. His team conducts advanced laboratory and field testing, collaborates with Deltares (Netherlands), and maintains strong ties with Zhejiang University, where he is a Visiting Professor and Distinguished International Scholar.
Amin Barari is an Adjunct Professor at the School of Engineering, RMIT University, Australia. His research focuses on geotechnical and offshore engineering, particularly in foundation systems for offshore wind turbines, soil-structure interaction, and seismic liquefaction mitigation. He has extensive experience in experimental and numerical analysis of pile foundations, bucket foundations, and caisson structures. His work integrates advanced computational methods (e.g., machine learning, finite element modeling) to predict foundation behavior under extreme conditions. Research interests include: offshore wind energy foundations, soil liquefaction, cyclic stability diagrams, and probabilistic hazard assessment frameworks. He has supervised multiple PhD/Masters projects on topics like resilient foundations in calcareous deposits and pile foundation dynamics in expansive soils. His publications span over 147 research outputs, emphasizing geotechnical challenges in coastal and offshore environments. Dr. Barari collaborates with international institutions and has expertise in experimental testing (e.g., large-scale load testing, centrifuge modeling) and advanced AI-driven frameworks for geohazard prediction. His work contributes to sustainable infrastructure design and risk mitigation strategies for renewable energy systems.
Benjamin F. Hobbs serves as the Theodore M. and Kay W. Schad Professor of Environmental Management at Johns Hopkins University, holding a primary appointment in the Department of Environmental Health and Engineering and a joint appointment in the Department of Applied Mathematics and Statistics. He is co-director of the USEPA Yale-JHU SEARCH Center and director of the NSF-funded Electric Power Innovation for a Carbon-free Society (EPICS) Center, focusing on interdisciplinary research at the intersection of energy systems, environmental management, and public health. Hobbs' educational background includes a BS from South Dakota State University (1976), an MS in Resources Management and Policy from SUNY-Syracuse (1978), and a PhD in Environmental Systems Engineering from Cornell University (1983). Prior to joining Johns Hopkins in 1995, he worked at Brookhaven and Oak Ridge National Laboratories and served as a professor at Case Western Reserve University, with additional visiting appointments at institutions including Cambridge University. His research integrates systems analysis, economics, and optimization to address critical challenges in electric utility planning, renewable energy integration, and environmental resource management. Key focus areas include solar forecasting using AI, green infrastructure for urban water management, health impacts of energy transitions, and grid reliability under high renewable penetration. His work emphasizes practical applications through engineering-economic modeling with rich technological and environmental detail. Analysis of his recent publications reveals a strong trend toward addressing grid reliability in decarbonizing systems, with increasing emphasis on market design innovations, resource adequacy under uncertainty, and storage-transmission tradeoffs. His research consistently bridges theoretical optimization with real-world policy implementation, particularly evident in his leadership of the EPICS Center's 100% renewable grid initiatives. Lifetime Achievement Award by Energy Systems Integration Group (ESIG), 2024 Fellow of the Institute of Electrical and Electronics Engineers (IEEE) Fellow of the Institute for Operations Research and Management Science (INFORMS) Hobbs advises graduate students through Johns Hopkins' interdisciplinary programs, with alumni employed as energy consultants, policy analysts, and researchers. His current grants include leadership of the NSF Global Center EPICS and co-direction of the USEPA SEARCH Center, focusing on energy-air-climate-health interactions. He chairs the Market Surveillance Committee for the California Independent System Operator and serves on editorial boards for Energy Economics and other leading energy journals. He leads the Hobbs Energy & Environment Decisions Research Group, which collaborates with institutions including IBM, National Renewable Energy Laboratory, and University of Texas at Dallas. The group participates in the Global Power Systems Transformation Consortium and Columbia-JHU Future Power Markets Forum, conducting fieldwork initially in California and the central United States.
