Scott Morris is a Professor in the Department of Aerospace and Mechanical Engineering at the University of Notre Dame, where he also serves as Director of the Institute for Flow Physics and Control (FlowPAC) and Research Director of the Notre Dame Turbomachinery Laboratory. His research focuses on energy conversion systems, turbomachinery, and fluid dynamics. Education: Ph.D. from Michigan State University (2002) Research Interests span energy conversion and efficiency, turbomachinery design, compressor and turbine dynamics, and advanced power cycles like the Brayton Cycle. His work emphasizes experimental validation and computational modeling of gas-turbine engines and aircraft propulsion systems. Recent Publications highlight studies on low-pressure turbine simulations, axial compressor stall phenomena, and transonic rotor-stator interactions, reflecting his expertise in turbomachinery aerodynamics and flow control.
Dr. N. Sri Namachchivaya is Professor of Applied Mathematics at the University of Waterloo with PhD from University of Waterloo. His research develops mathematical frameworks for stochastic dynamical systems, focusing on stability analysis, bifurcation theory, and multi-scale modeling. Recipient of NSF Presidential Young Investigator Award and multiple distinguished professorships, he has secured $8M+ in research funding and published over 250 scholarly works. Research examines noise-induced phenomena in nonlinear systems using asymptotic methods, dimensional reduction, and computational techniques. Current projects investigate stochastic bifurcations in fluid-structure systems, data assimilation for chaotic systems, and filtering algorithms for multiscale dynamics. Publications demonstrate theoretical advances in stochastic stability analysis and practical algorithms for engineering systems. Recent work focuses on Hopf bifurcations in turbulent flow models, particle filtering for chaotic systems, and stability of infrastructure in turbulent conditions. Scientific Awards: NSF Presidential Young Investigator (1990) Russell Severance Springer Distinguished Professor (2011) MSRI Distinguished Professor (2007) Xerox Research Award (1989, 1993) ASME Outstanding Service Award (2007) Supervised 20 doctoral students and 21 master's students. Lectures internationally on stochastic dynamics and nonlinear systems theory. Directs the Fields-CQAM Laboratory for Inference & Prediction, developing mathematical tools for complex system analysis across physics, engineering, and environmental science domains.
Zemer Gitai is the Edwin Grant Conklin Professor of Biology and Professor of Molecular Biology at Princeton University, where he leads the Gitai Lab in the Department of Molecular Biology. His research focuses on the fundamental mechanisms of bacterial cell biology, including cytoskeletal dynamics, cellular polarity, and morphogenesis. Institution: Princeton University Department: Department of Molecular Biology Lab: Gitai Lab Contact: zgitai@princeton.edu Gitai’s research explores how bacteria achieve complex subcellular organization and how these processes contribute to pathogenesis and antibiotic resistance. His lab uses interdisciplinary methods including genetics, biochemistry, live-cell imaging, genomics, and computational modeling to study bacterial self-organization, microbe-host interactions, and novel antibiotic discovery. A central theme is understanding how bacterial cytoskeletal proteins like MreB regulate cell shape and chromosome segregation. His recent publications (2022–2024) reveal trends in mechanosensing , trans-kingdom signaling , and transgenerational epigenetic inheritance mediated by bacterial small RNAs. His work spans model organisms like Caulobacter crescentus , Pseudomonas aeruginosa , and C. elegans , uncovering how bacteria sense surface stiffness, regulate nitrogen metabolism to influence host behavior, and dynamically control pilus-based motility. Scientific honors include: NIH Pioneer Award (2015) Gitai actively mentors students and postdoctoral researchers, with several advisees contributing to high-impact publications. His lab has developed innovative tools such as MitoRiboSeq for monitoring mitochondrial translation and M3-Seq for single-cell microbial transcriptomics. He also investigates how antibiotics can be used to probe bacterial cell biology and combat resistance through anti-virulence strategies. The Gitai Lab fosters collaborative research with Princeton colleagues across disciplines.
Dr. Yendrew Yauwenas is a Researcher in the College of Engineering at the University of New South Wales (UNSW), specifically within the Department of Aerospace Engineering . Based in the Ainsworth Building (J17), Level 4, Room 408, Kensington Campus, his work focuses on aerospace engineering, aerodynamics, acoustics, and noise control. Research Interests : Yendrew’s research spans aeroacoustics, drone propeller noise, turbulent boundary-layer dynamics, and blade-tower interaction noise. He investigates noise generation mechanisms in aerospace systems, including wingtip vortices, ducted propellers, and rotor turbulence. Publications : His work includes experimental and numerical studies on noise directivity in small rotors, unsteady thrust in strut wakes, and innovative noise control using 3D-printed porous materials. Recent articles (2024) explore wall-pressure anisotropy and cross-correlation of turbulent flows. Contact : yendrew@unsw.edu.au
Shantanu Bhat is a Postdoctoral Research Fellow at UNSW Canberra, affiliated with the School of Engineering and Information Technology. His expertise spans fluid mechanics, vortex dynamics, insect flight aerodynamics, and boundary-layer flows. He has held research and teaching roles at the University of Adelaide and Monash University. PhD in Mechanical and Aerospace Engineering, Monash University (2018) MSc in Mechanical Engineering, Indian Institute of Science (2011) Bachelor of Technology in Mechanical Engineering, College of Engineering Pune (2007) His research focuses on bio-inspired aerodynamics, including insect-wing dynamics, turbulence control via micro-cavity arrays, and evolutionary shape optimization for flapping wings. His 2023-2024 publications explore pitch perturbations, power synchronization in hovering flight, and autonomous blimp applications. Scientific awards include GE's Engineering Excellence Award (2013), Best Outgoing Student Award (2007), and Fresh Science SA Finalist (2021). He has secured computational resource allocations from NCMAS, Pawsey, and NCI Australia. He has contributed to computational fluid dynamics education at UNSW, University of Adelaide, and Monash University, teaching courses on thermofluids, aerodynamics, and numerical methods.
John Farnsworth is an Associate Professor in the Department of Aerospace Engineering Sciences at the University of Colorado Boulder. He serves as Director of the Aerospace Mechanics Research Center (AMReC) and the Research and Engineering Center for Unmanned Vehicles (RECUV). His expertise lies in experimental fluid dynamics, particularly in flow control, unsteady aerodynamics, and wind tunnel testing. Farnsworth holds a PhD, MS, and BS in Aeronautical Engineering from Rensselaer Polytechnic Institute (2011, 2007, 2006). His research focuses on image-based flow velocimetry, fluid-structure interaction, and biologically inspired flight. Notable contributions include studies on wind turbine aerodynamics, synthetic jet dynamics, and stall flutter mechanisms. He has developed novel wind tunnel systems like the WindCline for wildfire combustion analysis and the unsteady low-speed wind tunnel with louver systems. Awards include the Michael A. Sadowsky Prize (2007) and NSF Graduate Fellowship Honorable Mention (2006–2007). His work bridges computational and experimental methods, emphasizing practical applications in aerospace systems and environmental fluid dynamics. Key collaborations include investigations into wind turbine blade aerodynamics under varying inflow conditions and active flow control strategies for flexible wings. His labs emphasize interdisciplinary approaches to address challenges in aerodynamics, propulsion, and unmanned vehicle systems.
Dr. Shaun Shen is a Senior Lecturer in Mechanical Engineering at Northumbria University, leading the Northumbria University Aerodynamics Laboratory (NUAL). He specializes in applied aerodynamics, experimental fluid dynamics, flow control, numerical simulations, and multidisciplinary optimization. His research focuses on sustainable aerodynamics, wind energy systems, and thermal management. He holds a PhD from Queen Mary University of London and has held postdoctoral positions at Newcastle University and a visiting scholar role at Tohoku University. Educational Background: PhD in Mechanical Engineering (Queen Mary University of London, 2017), MEng (Nanjing University of Aeronautics and Astronautics, 2012), BEng (Nanjing University of Aeronautics and Astronautics, 2010), and a certificate from Tohoku University (2009). Research Interests include aerodynamic design optimization, thermal efficiency, wind engineering, and fluid mechanics applications. His work contributes to UN Sustainable Development Goals related to affordable and clean energy. Notable projects include studies on dynamic stall mechanisms in wind turbines (Royal Society-funded), bio-inspired turbine design (NERC), and vortex generator optimization (Northern Accelerator Project). He is a Fellow of the Royal Aeronautical Society and reviews for journals like Physics of Fluids and Ocean Engineering. He leads the NUAL, conducting cutting-edge research and mentoring PhD students. His grants include EPSRC and China State Programme-funded initiatives. Current research trends emphasize low-carbon aerodynamics and sustainable engineering solutions.
Sabrina Hempel is a Researcher at the Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB) in Potsdam, Germany. She leads the working group ' Stall Climate and Emissions Modelling ' and specializes in data science applications for agricultural systems. Member of VERA verification network Active in DFG-funded projects Collaborates with international experts Focus on practical sensor solutions Her research spans environmental engineering and agricultural technology , with particular emphasis on: Emission dynamics in livestock farming Climate modeling for barn structures Sensor network design for environmental monitoring Numerical fluid mechanics in open systems The 15 recent publications show consistent output in atmospheric pollutants and agricultural engineering , with a 30% focus on methane/ammonia interactions , 25% on sensor optimization , and 45% on climate adaptation systems . Key techniques include Fourier-transform infrared spectroscopy and computational fluid dynamics modeling. Her work directly informs climate policy through precise emission quantification methods and has produced practical tools like the ET4D environmental management system for dairy operations. Current projects address climate change adaptation in barn design while maintaining animal welfare standards.
Dr. Yan He is a Research Fellow at the School of Engineering , Cardiff University , focusing on renewable energy systems and wind turbine optimization. Their work bridges advanced computational modeling with practical energy solutions. Education: PhD in Electrical Engineering (2016), Cardiff University Research Interests span wind turbine aerodynamics, wake modeling, machine learning for energy systems, and fatigue analysis in wind farms. They develop innovative frameworks for offshore wind farm layout optimization and yaw control strategies to enhance efficiency while reducing structural loads. Publications highlight expertise in floating offshore wind turbines , yaw misalignment mitigation , and rotating stall dynamics , combining theoretical models with experimental validation. Their recent work integrates generative adversarial networks and convolutional neural networks for wind farm power prediction. Labs & Teams include collaborations with Cardiff's renewable energy research units, utilizing wind tunnel experiments and computational simulations to advance turbine design and control systems.
Helge Aa Madsen is a Professor at the Department of Wind and Energy Systems , Technical University of Denmark . His work focuses on wind turbine aerodynamics, active flap systems, and renewable energy optimization. Research Areas: Rotor Aerodynamics, Blade Element Momentum Theory, Computational Fluid Dynamics (CFD), Active Load Control, Wake Modeling Projects: IEA Wind TCP Task 47 TURBINIA Phase II (2025-2029), Hydrogen Wind Turbine Project (2022), LowWind System Integration (2019-2021) Recent Publications emphasize rotor aerodynamic modeling for non-uniform inflow, actuator disc theory applications, electricity price integration in turbine design, and active flap system validation on 4.3 MW turbines. His research spans Wind Turbine Engineering , Renewable Energy Systems , and Aeroelastic Dynamics . Scientific Contributions : 2011: Poster Prize for quasi-3D wake computation Student Supervision : PhD Student: Gamberini, A. (2020-2023) PhD Student: Li, A. (2019-2022)
Robert Flemming Mikkelsen is a Senior Researcher at the Department of Wind and Energy Systems, Technical University of Denmark (DTU). His expertise spans wind turbine aerodynamics, computational fluid dynamics, and renewable energy systems, with a focus on airfoil performance, rotor wake dynamics, and floating offshore wind turbine stability. Institution: Technical University of Denmark Department: Wind and Energy Systems Academic Role: Senior Researcher His research investigates: Aerodynamic behavior of wind turbine blades under varying Reynolds numbers Dynamic stall phenomena in pitching airfoils Hydrodynamic response of floating offshore wind turbine structures Actuator line simulations for rotor wake analysis Recent work includes experimental studies on NACA airfoils, computational modeling of rotor wakes, and structural analysis of the TetraSpar floater system. Key contributions appear in journals like Energy , Marine Structures , and Journal of Physics: Conference Series , emphasizing wind energy sustainability and SDG alignment. He actively supervises projects such as "Elite sport aerodynamics" and "PLCT-data: NACA63018 aeroacoustic - microphone array," and collaborates on wind tunnel infrastructure like the Poul la Cour Tunnel.
Dr. Yan Zhang is an Associate Professor in the Mechanical Engineering department at North Dakota State University (NDSU), where he joined in 2015 after completing his Ph.D. in Aerospace Engineering from Iowa State University in 2013. His research spans multiple interdisciplinary areas within fluid dynamics, with a particular focus on experimental approaches to complex flow phenomena. Dr. Zhang's educational background includes a B.S. in Energy and Power Engineering from Xi'an Jiaotong University, China (2008) and a Ph.D. in Aerospace Engineering from Iowa State University (2013). He completed postdoctoral research at Western Michigan University (2013-2015) before joining NDSU. His primary research interests focus on cardiovascular fluid dynamics, particularly pulsatile flow in the human cardiovascular system with applications to heart disease understanding and medical device design. Additional research areas include wind engineering, aerodynamics of vertical axis wind turbines, microfluidics for three-dimensional cell culture, and multiphase flow experimentation. His work frequently employs advanced flow diagnostics such as Particle Image Velocimetry (PIV), Laser Doppler Velocimetry (LDV), and ultrasound imaging techniques. Dr. Zhang's recent publications demonstrate a strong trend toward cardiovascular hemodynamics research, with particular emphasis on pulsatile flow in compliant vessels, aortic valve models, and cardiovascular adaptation to microgravity environments. His work combines experimental approaches with computational modeling to address complex fluid-structure interaction problems. His notable scientific achievements include multiple awards and recognitions, such as the NDSU Research Development Travel Award, Honorable Mention at NDSU EXPLORE, and several student awards under his mentorship. His students have received recognition at the Rocky Mountain Bioengineering Symposium, and one was a finalist in the NDSU Three-Minute-Thesis competition. Dr. Zhang has successfully secured substantial research funding from diverse sources including the NIH, NSF, NASA, DoD, and American Heart Association. Current projects include NIH R01 funding for aortic valve research, NASA EPSCoR funding for space physiology studies, and NSF MRI funding for a research ultrasound system. His laboratory, the Applied Fluid Dynamics Laboratory, is well-equipped with advanced instrumentation for multidisciplinary flow research. Dr. Zhang is actively involved in educational outreach, including delivering STEM lessons to Native American students at Cankdeska Cikana Community College as part of the NATURE Sunday Academy Program. He also serves as a technical judge for various student competitions and as a reviewer for multiple international journals and NSF grant panels.
Dr. Ruiyang He is a Postdoctoral Research Associate at the School of Engineering, Cardiff University. His research focuses on optimizing wind energy systems, particularly in wake dynamics, turbine control strategies, and structural fatigue analysis. He holds a BEng, MSc, and PhD in engineering-related fields. Education: BEng (Bachelor of Engineering) MSc (Master of Science) PhD (Doctor of Philosophy) Ruiyang's work emphasizes computational modeling and machine learning applications in wind energy. His recent studies include optimizing floating offshore wind farm layouts, quantifying turbulence intensity in turbine wakes, and mitigating fatigue through yaw control strategies. His publications span journals like Renewable Energy and Applied Energy . Key Research Themes: Wake steering and power enhancement in wind farms Machine learning for predictive turbine performance Rotating stall phenomena in compressors and fans Contact: HeR8@cardiff.ac.uk | Office: Queen's Buildings - South Building, Room S/3.27b
Dr. Stephen Tullis is an Associate Professor at the Department of Mechanical Engineering , McMaster University . His research integrates fluid mechanics and CFD with applications in nuclear thermalhydraulics , metallurgical flows , sports hydrodynamics , and wind turbine aerodynamics . Research interests include: Complex flows with multiphase, heat transfer, and chemical interactions Modeling of CANDU reactor corium dynamics and molten salt reactors Hydrodynamic optimization of rowing, canoe, and sailing equipment Vertical axis wind turbines with dynamic stall analysis Particulate flow modeling and turbulent combustion Recent publications focus on nuclear accident containment , metallurgical process optimization , and sports biomechanics through coupled fluid-structure simulations. The Fluids Research Lab under his supervision develops advanced synthetic turbulence generation methods and investigates fluid-structure interaction in both industrial and biological systems. Contact: stullis@mcmaster.ca
Julien Cisonni is a Senior Lecturer in the School of Civil and Mechanical Engineering at Curtin University, part of the Faculty of Science and Engineering. His research focuses on fluid mechanics, biomedical engineering, and aeroacoustics, with particular emphasis on fluid-structure interaction, computational modeling, and respiratory system dynamics. He has contributed to projects like PetaFlow , exploring global computing and communication technologies. His work spans experimental and numerical investigations in areas such as aerodynamic instability, blood flow prediction in vascular stents, and airflow simulation for obstructive sleep apnea. Active in both education and industry-relevant research, he has published extensively in journals like Journal of Fluids and Structures and Medical and Biological Engineering and Computing . Research interests include: Fluid-Structure Interaction (FSI), CFD in biomedical systems, aeroelastic flutter, and aerosol delivery mechanisms. His educational contributions involve enhancing student engagement through preparatory online modules for fluid mechanics labs. Selected projects highlight collaboration across disciplines, such as developing imaging-based frameworks for maxillomandibular advancement surgery and exploring turbulent boundary layer dynamics on compliant panels. His work often bridges fundamental fluid mechanics with applied medical and engineering challenges.
