Dr. Lin Li is an Associate Professor in Marine/Ocean Technology at the Faculty of Science and Technology , University of Stavanger . With a PhD from NTNU and degrees from Shanghai Jiao Tong University , she leads research in marine structural dynamics, aquaculture-hydrodynamics, and offshore wind integration. PhD Marine Technology (NTNU) MSc Design and Construction of Ships/Ocean Structures (Shanghai Jiao Tong University) BSc Naval Architecture and Ocean Engineering (Shanghai Jiao Tong University) Her research focuses on: Dynamic analysis of marine structures Design of aquaculture systems Hydrodynamic modeling for offshore wind Statistical wave analysis Recent publications highlight advancements in: Hybrid offshore fish cage-wind turbine systems Metocean condition modeling Subsea spool deployment methods Extreme response prediction techniques She actively contributes to international marine technology conferences and applies open-source tools for hydrodynamic validation.
Matthew Churchfield is a Researcher at the National Renewable Energy Laboratory (NREL), where he leads the Wind Plant Physics Computational Fluid Dynamics group within the National Wind Technology Center. With a strong academic background in aeronautical engineering from Purdue University, he has established himself as a leading expert in wind energy simulation and modeling. Churchfield's research focuses on high-fidelity simulation of wind plant aerodynamics using large-eddy simulation. His work particularly examines turbulent wind turbine wakes and their interactions with other turbines, wakes, the atmospheric boundary layer, and complex terrain or offshore conditions. He has also made significant contributions to wind plant-level controls that increase performance by reducing wake effects. His expertise spans computational fluid dynamics, turbulence modeling, and wind energy systems. Churchfield is one of the lead developers of the open-source Simulator fOr Wind Farm Applications (SOWFA), a coupled fluid-structure-controls simulation tool specifically designed for wind plants. His recent publications demonstrate continued innovation in wind farm simulation, wake modeling, atmospheric flow analysis, and control strategies. Among his professional recognitions, Churchfield was named an NREL Distinguished Member of Research Staff in 2021, highlighting his significant contributions to wind energy research. His educational background includes a PhD and Master's in Aeronautical Engineering from Purdue University, and a Bachelor's in Mechanical Engineering from the University of Nevada, Reno. This strong foundation in engineering principles has enabled his impactful work at the intersection of fluid dynamics and renewable energy.
Douglas Hunsaker is an Associate Professor in the Mechanical and Aerospace Engineering Department at Utah State University (USU), where he has been teaching since 2011. Prior to academia, he worked in industry for four years at Scaled Composites (Stratolaunch and SpaceShipTwo programs) and consulted for drone companies like AeroVironment and Vayu. Education: PhD in Mechanical Engineering (2011), USU MS in Mechanical Engineering (2007), Brigham Young University BS in Mechanical Engineering (2005), Brigham Young University Research Interests: Dr. Hunsaker specializes in aerodynamic design and optimization for aircraft, spanning subsonic to hypersonic regimes. His work includes computational fluid dynamics (CFD) modeling, bio-inspired morphing aircraft design, and flight dynamics analysis. He develops tools like MachLine for aerodynamic simulations and MachUp for airframe design. Key Scientific Contributions: His research supports NASA and the Air Force Research Lab through improved aircraft efficiency and rapid design methods. He explores unsteady flows in flapping flight and applies optimization to reduce induced drag and sonic boom loudness in supersonic vehicles. Teaching: Dr. Hunsaker teaches advanced courses in aerodynamics (MAE 5500), flight dynamics (MAE 5510), flight simulation (MAE 6510), and potential flow (MAE 6500). His teaching spans 2016–2024, with a focus on practical applications in aircraft design. Scientific Awards: He received multiple accolades including Graduate Mentor of the Year (2024) , Teacher of the Year (2022) , and Young Investigator Program Recipient (2018) from the Office of Naval Research. His students have placed in AIAA competitions and pursued careers at Boeing, DARPA, and the Air Force Research Lab. Students Mentored: Dr. Hunsaker has supervised over 35 graduate and undergraduate students, including Jeffrey Taylor (PhD, 2022), Christian Bolander (PhD, 2023), and Benjamin Moulton (PhD, 2025). His mentees have contributed to cutting-edge research in morphing wings, sonic boom analysis, and flight simulation tools. Labs and Teams: He leads the AeroLab at USU, focusing on rigorously understanding mathematical and physical principles of flight. The lab develops open-source tools like MachLine and MachUp, and has collaborations with industry leaders such as Sandia National Labs and AeroVironment.
Diederik Beckers is a Resnick Postdoctoral Scholar in Aerospace at the California Institute of Technology (Caltech), advised by Jane Bae. His research focuses on advancing computational methods for unsteady aerodynamics, integrating deep reinforcement learning with fluid dynamics to address control challenges in disturbed environments. He specializes in developing fast aerodynamic models, gust interaction simulations, and computationally-augmented wind tunnel techniques. His work bridges theoretical fluid dynamics with practical applications in aircraft control and flow optimization. Beckers' research interests emphasize model-based reinforcement learning for flow control, numerical methods for simulating irrotational gusts, and low-order aerodynamic modeling. His contributions include improving immersed boundary projection methods and advancing potential flow computations on Cartesian grids. He collaborates with the Bae group to explore experimental-computational hybrid systems for aerodynamic data assimilation. His publications span topics like airfoil pitch control under freestream disturbances, wind tunnel effects on gust interactions, and fast computational models for real-time aerodynamic analysis. This body of work reflects a cohesive focus on merging machine learning with classical fluid mechanics to solve complex aerodynamic problems.
Ang Li is a Researcher at the Department of Wind and Energy Systems , Technical University of Denmark (DTU) , specializing in wind turbine aerodynamic modeling. His work primarily focuses on Blade Element Momentum (BEM) theory , Lifting Line methods , and Vortex aerodynamics for rotor design optimization. Research interests include Aerodynamic modeling of wind turbine rotors Non-planar blade design Multi-fidelity aeroelastic simulations Viscous force analysis in BEM Curved tip shape optimization Recent publications highlight advancements in computationally efficient models for 22-megawatt turbines and corrections to BEM methods for spanwise flow effects. Collaborations include institutions like IOP Publishing and researchers such as Gaunaa, Pirrung, and Zahle.
Marsha Chechik is a Professor in the Department of Computer Science at the University of Toronto within the Faculty of Arts and Science. She previously served as Chair of the Department of Computer Science (2019-2022) and as Acting Dean in the Faculty of Information (July-December 2022). Professor Chechik received her Ph.D. from the University of Maryland in 1996 and has established herself as a leading researcher in software engineering with a focus on formal methods. Her research interests include software safety and security, automated verification, software product lines, and model management. Professor Chechik has authored numerous papers in formal methods, software specification and verification, computer safety and security, and requirements engineering. Her work has evolved to incorporate newer areas such as machine vision reliability analysis, normative requirements with large language models, and machine learning development lifecycle analysis. Her research consistently bridges theoretical foundations with practical applications in software engineering. Professor Chechik has served in numerous leadership roles including Program Committee Co-Chair for major conferences such as ICSE 2018, TACAS 2016, VSTTE 2016, ASE 2014, CONCUR 2008, CASCON 2008, and FASE 2009. She is currently the Area Chair for ASE 2025 in Security and Other Non-Functional Properties. She has also served as Associate Editor in Chief of Journal on Software and Systems Modeling and as associate editor of IEEE Transactions on Software Engineering (2003-2007, 2010-2013). Best paper award at RE'12 (2012) SIGSOFT Distinguished Paper at ICSE'12 (2012) Winner of Best Student Paper Award at CASCON'07 (2007) Winner of Distinguished Paper Award at ICSE'07 (2007) Professor Chechik regularly mentors PhD students, with notable advisees including Michalis Famelis, Shiva Nejati, Jocelyn Simmonds, Ou Wei, and Aws Albarghouthi. Her advising philosophy emphasizes rigorous formal methods while addressing practical software engineering challenges. She has been involved in numerous research grants focusing on software verification, safety-critical systems, and requirements engineering. Currently, her work explores the intersection of formal methods with emerging technologies like large language models and machine vision systems. Professor Chechik maintains an active research lab focused on model-based software engineering, with projects spanning software product lines, model management, and verification techniques. Her team collaborates with industry partners to address real-world software engineering challenges while advancing theoretical foundations. Current work includes developing techniques for normative requirements operationalization, machine vision reliability analysis, and automated code reconciliation using AI techniques.
Yoav Len is a Lecturer in Pure Mathematics and Head of the Geometry Group at the University of St Andrews, School of Mathematics and Statistics. His research is supported by the EPSRC New Investigator Award, and he actively supervises postdoctoral and doctoral researchers. His research focuses on algebraic and tropical geometry , with strong interplay between combinatorics, non-archimedean geometry, and moduli spaces. He investigates the geometry of curves, divisors, Prym varieties, and enumerative problems using tropical techniques. His work often bridges algebraic and tropical worlds, proving deep structural results such as the commutativity of Prym construction with tropicalization. His recent publications (2014–2025) show a consistent trend in tropical algebraic geometry , particularly in bitangents, tritangents, theta characteristics, Jacobians, and Brill–Noether theory. The keywords across his work include Prym varieties, chip-firing, moduli spaces, dual varieties, and tropical intersections, indicating a central theme of using combinatorial models to solve classical algebraic problems. Scientific Awards: EPSRC New Investigator Award Editorial Role: Yoav Len is an editor for the Proceedings of the Royal Society of Edinburgh, Section A (Mathematics) . Advising: He supervises a postdoc, Thibault Poiret, and a PhD student, Violeta Lopez. Labs and Research Group: He leads the Geometry Group at the University of St Andrews, fostering collaborative research in pure mathematics.
Joseph Katz is a Professor in the Department of Aerospace Engineering at San Diego State University (SDSU), part of the College of Engineering. His research focuses on aerodynamics, fluid dynamics, automotive safety, and propulsion systems. He holds a Ph.D. and DSc from Technion University, Israel. Professor Katz has received numerous awards, including multiple SDSU Outstanding Faculty Awards and a NASA Space Act Award for his work on the PMARC code. His research interests span internal combustion engines, heat transfer, wind tunnel measurements, naval propulsion, and UAV design. He teaches courses in thermodynamics, propulsion, fluid dynamics, and aerodynamics. Notable publications include books on Low-Speed Aerodynamics and Race-Car Aerodynamics . Education: Ph.D., DSc from Technion University, Israel Awards: Over a decade of SDSU Outstanding Faculty Awards, NASA Creative Development Awards Labs/Teams: Active in aerodynamics research groups at SDSU, focusing on automotive and UAV applications His advising and grants highlight contributions to automotive aerodynamics and fluid dynamics research. Ongoing work includes optimizing race car performance and exploring novel propulsion systems.
Luis Martinez-Tossas serves as a Researcher IV in Mechanical Engineering at the National Wind Technology Center within the National Renewable Energy Laboratory (NREL). He chairs the North American Wind Energy Academy Conference Committee, overseeing the annual North American Wind Energy Academy/WindTech Conference. His work bridges theoretical fluid dynamics with practical wind energy applications. His educational background includes: PhD in Mechanical Engineering from Johns Hopkins University Master's in Mechanical Engineering from University of Puerto Rico-Mayaguez Bachelor's in Mechanical Engineering from University of Puerto Rico-Mayaguez Martinez-Tossas specializes in theoretical aerodynamics and computational fluid dynamics for wind energy systems. His research integrates high-performance computing with data assimilation techniques to advance wind turbine and wind plant modeling. Key focus areas include model validation, verification, and uncertainty quantification for atmospheric boundary layer flows. His work enables more accurate prediction of turbine performance and wind farm energy yield through advanced simulation frameworks. His publication trends reveal a strong emphasis on wind farm optimization and high-fidelity flow solvers . Recent work combines generative artificial intelligence with large-eddy simulation for inflow reconstruction, while developing analytical methods for faster annual energy production estimation. The research spans theoretical fluid mechanics, computational modeling, and practical wind energy applications with significant focus on reducing computational costs while maintaining accuracy. As chair of the North American Wind Energy Academy Conference Committee, he plays a key leadership role in the wind energy research community. His work at NREL's National Wind Technology Center positions him at the forefront of wind energy research infrastructure development.
David Lundström is an Associate Professor at Linköping University's Department of Management and Engineering (IEI), affiliated with the Fluid and Mechatronic Systems (FLUMES) division. His research focuses on aircraft design, aerodynamics, and subscale flight testing, conducted in close collaboration with the aviation industry. He contributes to the Aeronautical Engineering Master’s Programme (120 credits), which emphasizes aircraft design and industry partnerships. His research interests include aircraft systems, fluid power systems, and innovative flight testing methodologies. Recent work highlights low-cost experimental methods for lift estimation, challenges in subscale testing, and improved flight testing techniques using multisine inputs. His publications span journals like Aerospace and Aircraft Engineering and Aerospace Technology , reflecting a strong focus on applied aerospace engineering. Lundström is involved in student projects such as the SAE Aero Design competition, where LiU teams have achieved notable success despite technical challenges. His affiliations include FLUMES, a division bridging fluid mechanics and aeronautics research.
Marc Jacob is a Researcher at the Laboratory of Fluid Mechanics and Acoustics (LMFA, UMR 5509) affiliated with École Centrale de Lyon in Lyon, France. His work focuses on aeroacoustics, turbulent boundary layers, and fluid dynamics with applications in noise control and computational modeling. He contributes to experimental and numerical studies of flow instabilities, rotor-stator interactions, and aerodynamic noise reduction. Research interests include: Aeroacoustic noise mechanisms in rotating machinery Turbulent flow control using circular cavities Machine learning for fluid dynamics predictions LES and CFD simulations for noise prediction Recent Work : Recent studies address drag reduction via staggered cavities, neural network-based pressure field reconstruction, and parametric LBM modeling of slat-airfoil systems. His research bridges fundamental fluid mechanics with engineering applications like fan noise reduction and coronary artery flow analysis. Awards : No specific awards mentioned in available texts. Labs & Teams : Active in LMFA's Acoustics group (AC) and collaborates with ENS Lyon and INSA Lyon on multi-disciplinary fluid mechanics projects. Involves in developing experimental techniques (PIV, LDV) and acoustic measurement systems.
Maria Bergemann is a Lise Meitner Group Leader and Independent Research Group Lead at the Max Planck Institute for Astronomy in Heidelberg, heading the Stellar Spectroscopy and Populations research group within the Galaxies and Cosmology department. Her research spans theoretical and observational astrophysics with a focus on stellar physics, galactic evolution, and cosmic nucleosynthesis. Her work encompasses non-equilibrium (Non-LTE) radiative transfer modeling and 3D radiation-hydrodynamics simulations of stellar atmospheres, lifting canonical approximations to provide new insights into stellar structure. She is actively involved in major astronomical programs including the Gaia-ESO survey, 4MOST, PLATO, WEAVE, and MSE projects, analyzing multi-million datasets to address fundamental questions about the origins of chemical elements, galactic structure, and star-planet connections. Her group has made significant contributions to understanding galactic chemo-dynamics, including studies of stellar clusters, abundance gradients, and the structure of the Milky Way disk and bulge. Dr. Bergemann's research has received support from the Max Planck Society, European Research Council, and the German Research Foundation. Her team develops sophisticated mathematical and statistical algorithms for robust model-data comparison and pattern recognition in multi-dimensional parameter spaces, including adaptation of the Payne code for Gaia-ESO and 4MOST data analysis and introduction of Bayesian spectroscopy methods. Max Planck Society funding recipient European Research Council funding recipient German Research Foundation funding recipient She has supervised numerous PhD students, postdocs, and master's students who have gone on to faculty positions at institutions worldwide including Purdue University, Frankfurt University, Yunnan University, and the University of Sheffield. Her current research group includes several members working on diverse projects related to stellar atmospheres, galactic structure, and nucleosynthesis. The group maintains the public database http://nlte.mpia.de for 3D Non-LTE models, which are essential for deriving accurate fundamental parameters of stars and their detailed chemical compositions.
Dr. Fabio Sgarbossa is a Full Professor of Industrial Logistics at NTNU's Department of Mechanical and Industrial Engineering (MTP), leading the Production Management Research Group and overseeing the Logistics 4.0 Lab. He holds a PhD in Industrial Engineering from the University of Padova (2010) and previously served as an Associate Professor there. His research focuses on industrial logistics design, supply chain management, digitalization in logistics, and human factors in production systems, with contributions to over 150 international publications. He is an Associate Editor for the International Journal of Production Research and actively involved in organizing international conferences. His work integrates advanced technologies like Industry 4.0, additive manufacturing, and AI to address challenges in supply chain resilience, sustainable production, and ergonomic system design. Notable projects include optimizing warehouse systems, evaluating assistive technologies for worker well-being, and developing decision frameworks for spare parts management. His research bridges theoretical models with practical applications, emphasizing human-centered design and circular economy principles. Dr. Sgarbossa’s contributions extend to strategic frameworks for disassembly systems, collaborative logistics in rural contexts, and the mitigation of Lean implementation barriers through digitalization. His Logistics 4.0 Lab serves as a platform for experimental research and education, fostering innovation in smart manufacturing and logistics solutions. He collaborates extensively on EU-funded projects and guides industry partnerships to translate academic insights into actionable strategies.
Alison Godwin is a Full Professor in the School of Kinesiology & Health Sciences at Laurentian University, located in Room B242 of the B.F. Avery Physical Education Centre. She can be contacted via email at agodwin@laurentian.ca or by phone at 705.675.1151 ext. 1079. Her educational background includes a BSc in Kinesiology (cum laude), an MSc in Human Development, and a PhD in Exercise Science. Dr. Godwin's research is centered on virtual ergonomics to mitigate musculoskeletal risks for workers and athletes. She conducts line-of-sight investigations for underground mining machinery and develops collision avoidance systems. Her work extends to ergonomic evaluations of industrial equipment using computer simulations, eye tracking studies in industrial locations, and three-dimensional kinematic and kinetic analysis of working postures. Additionally, she applies biomechanics to sports and validates ergonomic standards such as ISO 5006-1 in virtual environments. Her recent publications demonstrate a strong focus on line-of-sight analysis in industrial vehicles and the use of virtual reality for ergonomic interventions. The research consistently addresses occupational safety through human factors engineering, with practical applications in mining and material handling. Dr. Godwin has received the following award: OUA Nordic Skiing Coach of the Year (2012) Information regarding her advising activities and research grants was not provided in the source material. No specific laboratory or research team information was mentioned in the available text.
Margit Zohmann-Neuberger is a Scientific Assistant at the Institute of Wildlife Biology and Game Management within the Department of Ecosystem Management, Climate and Biodiversity at the University of Natural Resources and Life Sciences, Vienna (BOKU). With a doctoral degree completed in 2017 and a Master's in Zoology from the University of Vienna (2004), she has dedicated her career to wildlife ecology research with a particular focus on grouse species in Austria. Dr. Zohmann-Neuberger's research interests center on wildlife ecology, with particular emphasis on: Grouse species conservation (capercaillie, black grouse, rock ptarmigan) Habitat modeling and assessment in alpine environments Application of FTIR spectroscopy for analyzing wildlife diet and foraging behavior Impacts of human infrastructure (power lines, ski lifts) on wildlife populations Effects of tourism and recreation on sensitive alpine ecosystems Her recent publications demonstrate a strong focus on applying innovative analytical methods like FTIR spectroscopy to traditional wildlife ecology questions. This interdisciplinary approach bridges the gap between analytical chemistry and wildlife conservation, particularly for studying the feeding ecology of grouse species. Her work also addresses practical conservation challenges, with numerous projects focused on habitat modeling for conservation planning of threatened species in the Austrian Alps. Dr. Zohmann-Neuberger has received recognition for her work through awards including the CIC Young Opinion Award (2012) and the Österreichischer Nationalpark-Forschungspreis (2004). She has supervised multiple Master's theses and serves as a reviewer for prestigious journals including Ibis and Wildlife Biology. Her community service includes active participation in organizing scientific conferences, such as the 157th Annual Meeting of the German Ornithologists' Society in 2024. Currently, Dr. Zohmann-Neuberger leads research projects including "Habitat modelling for Black grouse, Capercaillie and Rock ptarmigan in Styria" (2024-2025), continuing her commitment to applied wildlife conservation research in Austria.
