Doug L. James is a Full Professor of Computer Science at Stanford University since 2015, following roles as Associate Professor at Cornell University (2006-2015) and Assistant Professor at Carnegie Mellon University (2002-2006). He holds a PhD in Applied Mathematics from the University of British Columbia (2001), alongside earlier degrees from the same institution and the University of Western Ontario. His research focuses on computer graphics, sound synthesis, and physically-based modeling, with notable contributions to fluid simulation, cloth animation, and medical modeling. Key achievements include the 2012 Technical Achievement Award from the Academy of Motion Picture Arts and Sciences for 'Wavelet Turbulence,' and the 2013 Katayanagi Prize. He serves as a consulting Senior Research Scientist at Pixar Animation Studios and has led roles like Technical Papers Chair at SIGGRAPH 2015. His work integrates physics-based principles with interactive systems, emphasizing real-time applications and data-driven methods. Research interests span sound synthesis for animations (e.g., cloth, water, impact sounds), deformable models for medical simulation, and tools like 'svMorph' for virtual surgery planning. His publications reflect a blend of algorithmic innovation and practical applications in film, gaming, and healthcare.
Prof. Patrick Jenny is a Full Professor at the Department of Mechanical and Process Engineering and Head of the Institute of Fluid Dynamics at ETH Zurich. His research focuses on computational fluid dynamics (CFD), numerical methods for turbulent and multiphase flows, and reservoir simulation. He has held positions at ChevronTexaco and Cornell University, and received the National Latsis Prize 2005. PhD in CFD from ETH Zurich (1997) Postdoctoral work at Cornell University (1997–1999) Senior Researcher at ChevronTexaco (1999–2003) Research interests include: turbulent reactive flows, PDF modeling, multi-scale reservoir simulation, and data assimilation in engineering systems. He teaches courses on fluid dynamics, turbulence, and computational methods. Over 100 peer-reviewed publications span topics like fracture modeling, LES/RANS coupling, and particle-laden flows. His work bridges academia and industry, addressing challenges in energy systems, environmental engineering, and numerical algorithms. Winner: National Latsis Prize 2005 Led over 20 PhD projects and collaborates with institutions globally. His lab develops open-source tools for CFD and energy systems analysis.
Yuxia Hu is a Professor at the University of Western Australia, affiliated with the School of Engineering (Civil, Environmental and Mining Engineering) and the School of Social Sciences, Planning and Transport Research Centre. Her research focuses on geotechnical engineering, particularly in large deformation FE analysis, offshore foundation systems, and soil-structure interaction. She has contributed to advancements in suction caissons, plate anchors, and computational mechanics, with applications in offshore wind energy and infrastructure stability. Research Interests: Large deformation FE analysis of soils, soil-structure interaction, offshore foundation systems, soil mechanics, and pavement engineering. Awards: Telford Premium, British Geotechnical Association Prize, and Significant Junior/Senior Paper Award. Grants: Leads projects on offshore anchors, carbon capture in pavements, and road maintenance optimization. Her work addresses challenges in geotechnical design and sustainable infrastructure, with a focus on numerical modeling and experimental validation. Collaborations span academia and industry, emphasizing practical solutions for complex soil-structure systems.
Joseph Katz is the William F. Ward Distinguished Professor of Mechanical Engineering at Johns Hopkins University's Whiting School of Engineering and a member of the National Academy of Engineering. His research focuses on experimental fluid mechanics, multiphase flow, cavitation phenomena, and advanced optical diagnostics. He directs the Laboratory for Experimental Fluid Dynamics and co-founded the Johns Hopkins Center for Environmental and Applied Fluid Mechanics. Key research areas include: - Turbulent boundary layers and compliant wall interactions - Cavitation dynamics in turbomachinery - Environmental fluid dynamics (oil spills, oceanic flows) - Medical imaging applications of fluid mechanics - Turbomachinery flow control (axial compressors) His work has been funded by agencies including the Office of Naval Research, NSF, NASA, and DOE. Over 150+ journal papers, 220+ conference papers, and 7 patents reflect his prolific output. Notable awards include the ASME Fluids Engineering Award and fellowships from ASME and APS. Key Contributions: - Developed novel optical diagnostics techniques - Advanced understanding of tip clearance flows in compressors - Studied oil dispersion mechanisms in marine environments - Pioneered holographic PIV for 3D flow visualization
Oleg Shpyrko is a Professor and Department Chair in the Department of Physics at the University of California, San Diego (UCSD). He leads a research group focused on nanoscale structural dynamics using advanced x-ray scattering techniques. His work bridges hard and soft condensed matter systems, including magnetic materials, energy storage materials, and biophotonic nanostructures. Shpyrko earned his Ph.D. in Physics from Harvard University in 2004. His research leverages national facilities like the Advanced Photon Source (APS) and Linac Coherent Light Source (LCLS). Key areas include coherent x-ray imaging, domain dynamics in magnetic systems, and operando studies of battery materials. His research interests span: Coherent X-ray Scattering and Imaging Magnetic Domain Dynamics Nanostructured Materials Energy Storage (battery cathodes) Biophotonic Structures Phase Transitions Notable achievements include pioneering X-ray Photon Correlation Spectroscopy (XPCS) for antiferromagnetic domain studies and revealing dislocation dynamics in battery materials. His work has been featured in Nature , Science , and Physical Review Letters . Shpyrko has mentored over 15 graduate students and postdocs, many of whom have become faculty at top institutions. Awards include the NSF CAREER Award (2010), Hellman Fellowship (2009), and the Rosalind Franklin Young Investigator Award (2008). His group operates facilities including Dynamic Light Scattering labs, AFM/EFM microscopes, and collaborates with synchrotron and neutron sources globally.
Kengo Deguchi is a Senior Lecturer in the School of Mathematics at Monash University. His research focuses on fluid dynamics, magnetohydrodynamics, and turbulence phenomena. He leads and collaborates on ARC-funded projects exploring flow control via topography, vortex dynamics in complex flows, and mathematical descriptions of magneto-hydrodynamic turbulence. Notable awards include the 2018 Faculty of Science Research Excellence Award and Vice-Chancellor’s Early Career Excellence Award. Education: Doctorate in Fluid Dynamics (details not specified in text) His research interests emphasize nonlinear instabilities, vortex dynamics, and coherent structures in shear flows. Recent work investigates Taylor-Couette flow chaos, subcritical transitions, and MHD dynamos. Over 40 publications span topics like turbulence statistics, chaotic patterns, and fluid instabilities. Key projects include investigating vortex persistence in counter-rotating systems and developing mathematical frameworks for MHD turbulence. He has secured funding through ARC grants (2017-2026) and collaborates internationally with experts like Prof. Hall and Prof. Blackburn. Grants: $A 2.6M+ in ARC funding (2017-2026) Labs/Teams: Collaborative fluid dynamics research groups focused on experimental and computational turbulence studies
Amir Asadi is an Associate Professor in the Department of Engineering Technology and Industrial Distribution at Texas A&M University, holding the Corrie & Jim Furber '64 Faculty Fellow position. His research focuses on scalable manufacturing of multifunctional composites, structural energy systems, and advanced materials design. He leads the Polymer Composites Advanced Manufacturing (PCAM) Lab, which explores bottom-up fabrication techniques and additive manufacturing processes. Asadi holds a Ph.D. in Mechanical and Manufacturing Engineering from the University of Manitoba (2013), an M.S. in Mechanical Engineering from Iran University of Science & Technology (2006), and a B.S. in Mechanical Engineering from the same institution (2004). His work bridges molecular-level interactions with macroscale material performance, targeting applications in aerospace, e-mobility, and energy storage. Key research interests include structural battery/supercapacitor composites, additive manufacturing of polymer composites, and fast-rate manufacturing of thermoplastics. He has pioneered methods like supercritical CO₂-assisted atomization and cellulose nanocrystal-enabled interface tailoring to enhance composite performance. Asadi has received the NSF CAREER Award (2022) and has been an invited speaker at major conferences such as the Brazilian Conference on Composite Materials (2021) and Chalmers University’s “Materials for Tomorrow” event (2020). His lab’s innovations aim to revolutionize lightweight, multifunctional materials for industrial sectors. His research outputs include over 50 peer-reviewed articles, covering topics from nanocomposite interfaces to 3D-printed structural batteries. He collaborates with industry partners like the Air Force Research Lab and focuses on translating lab-scale innovations into scalable manufacturing solutions.
Timothy Jacobs is Professor and Head of Multidisciplinary Engineering at Texas A&M University, with joint appointment in Mechanical Engineering. His research advances combustion science, emission control, and alternative fuel applications. Education: Ph.D. Mechanical Engineering, University of Michigan (2005) M.S. Mechanical Engineering, University of Michigan (2002) B.S.E. Mechanical Engineering, University of Michigan (1999) Research focuses on fundamental combustion processes in natural gas engines, developing low-temperature combustion strategies and aftertreatment integration. Recent work optimizes prechamber ignition systems for large-bore engines and hydrogen production via piston reactors. Experimental diagnostics characterize cycle variability, unburned emissions, and flame dynamics. Publications demonstrate expertise in combustion modeling, engine control algorithms, and emission formation mechanisms. Applied research supports decarbonization of power generation and marine propulsion. Awards recognize teaching excellence and research leadership, including ASME Fellowship and university professorships. Secures funding for engine technology development from federal agencies and industry partners.
Yves Bourgault is a Full Professor in the Department of Mathematics and Statistics at the University of Ottawa. He holds a MSc and PhD from Laval University. His research focuses on computational fluid dynamics, numerical methods, finite element techniques, and continuum mechanics modeling, with applications in cardiac electrophysiology and ecological systems. Dr. Bourgault has supervised several graduate students, including Edward Boey (co-supervised), Sana Keita, Saint-Cyr Koyagurebo-Ime, and Kak Choon Loy. His work integrates advanced numerical techniques to address complex problems in biomedical engineering, environmental science, and mathematical physics. Key methodologies include finite element methods, deferred correction schemes, and anisotropic mesh adaptation. His research group is part of the Applied Mathematics division at the University of Ottawa, emphasizing interdisciplinary applications. Recent work explores climate change impacts on ecological systems, cardiac tissue modeling using high-resolution MRI data, and robust numerical methods for reaction-diffusion equations. Publications span topics such as bidomain models for cardiac electrophysiology, fluid-structure interaction in heart mechanics, and mathematical modeling of fuel cells. His contributions bridge theoretical numerical analysis with real-world biomedical and environmental challenges.
Lorenzo Cremaschi is an Associate Professor in the Department of Mechanical Engineering at Auburn University, where he leads the High Performance Scalable Building Energy Systems and Technologies (HPS-BEST) Laboratory. His research focuses on enhancing energy efficiency in buildings and transportation systems through advanced thermal-fluid technologies. Education Ph.D. Mechanical Engineering, University of Maryland M.S. Mechanical Engineering, University of Modena and Reggio Emilia B.S. Mechanical Engineering, University of Modena and Reggio Emilia Research Focus Dr. Cremaschi's research encompasses energy efficiency, scalable energy systems, and advanced heat/mass transfer processes. His laboratory investigates refrigeration systems, low-GWP refrigerants, frost/defrost phenomena, and novel dehumidification technologies. Current projects examine electrospray-enhanced heat exchangers, two-phase flow dynamics, and spray evaporation in HVAC systems. Research Output Recent publications demonstrate strong focus on thermal-fluid phenomena in energy systems, including experimental and numerical studies of two-phase flow, refrigerant performance, frost formation dynamics, and novel dehumidification technologies. Emerging themes include electrospray applications, low-GWP refrigerants, and system optimization for sustainable HVAC. Funding and Recognition Recipient of $150,000+ grant from ASHRAE for climate lab research Laboratory Leadership The HPS-BEST Laboratory under Dr. Cremaschi's direction collaborates with national laboratories and industry partners to develop scalable energy solutions. The lab specializes in experimental analysis of heat transfer fluids, phase-change processes, and system performance optimization for refrigeration and HVAC applications.
Pedro Jorge Martins Coelho is a Professor in the Mechanical Engineering Department at Instituto Superior Técnico, University of Lisbon, Portugal. His academic career spans several decades with a focus on advanced thermal sciences and computational methods. His research has significantly contributed to the understanding of radiative heat transfer phenomena in complex systems. Dr. Coelho's educational background includes a Ph.D. in Mechanical Engineering, which has provided the foundation for his extensive research in thermal sciences. His work demonstrates a strong theoretical foundation combined with practical applications across various engineering domains. His primary research interests encompass radiative heat transfer, turbulence-radiation interaction, combustion modeling, and numerical methods for thermal systems. Recent work has expanded into biomedical applications of thermal radiation, particularly in laser-tissue interactions for cancer detection and treatment. His publications reveal a consistent focus on developing and refining computational methods for solving complex heat transfer problems, with particular emphasis on the radiative transfer equation in various media and geometries. Analysis of his recent publications shows a clear evolution toward more complex and interdisciplinary applications, including biomedical thermal applications, advanced turbulence modeling, and thermal management of electrical systems. His work consistently bridges fundamental theoretical developments with practical engineering applications, particularly in combustion systems, energy recovery, and thermal management. Dr. Coelho has served on editorial boards for prestigious journals including Heat Transfer Research, Computational Thermal Sciences, and International Journal of Energy for a Clean Environment, demonstrating his standing in the thermal sciences community. His research collaborations span numerous institutions and researchers worldwide, as evidenced by his extensive publication record with various co-authors across different countries. He has also been involved in conference organization, serving as Associate Editor for major international heat transfer conferences.
Dr. Abdessattar Abdelkefi is a Professor in the Department of Mechanical & Aerospace Engineering at New Mexico State University's College of Engineering. He directs the Nonlinear Dynamics & Energy Harvesting Laboratory (NDEHL) and holds a Ph.D. from Virginia Tech (2012). His research bridges dynamics, fluid-structure interactions, and renewable energy, with applications in drones, MEMS, and energy harvesting. Research Focus Dr. Abdelkefi's work spans Dynamics & Vibrations , Aeroelasticity , and Robotics & Controls , emphasizing nonlinear phenomena and energy conversion. Key areas include: Vortex-induced vibrations for renewable energy harvesting Bio-inspired drone design and aerodynamic optimization Nanoscale sensors and microgyroscopes Flexoelectric and piezoelectric material applications Publication Trends Recent articles (2019-2020) focus on experimental/theoretical synergy in energy harvesting (galloping, vortex-induced, piezoelectric) and bio-inspired UAV design. Over 70% involve computational modeling validated with wind tunnel/field tests, highlighting innovations in broadband energy capture and nano/microsystem efficiency. Awards & Honors 2020: Outstanding Research Professor (MAE Academy) & Teaching-Research-Service Synergy Award (College of Engineering) 2019: Early Career Award (NMSU Research Council), Outstanding Research Professor, Los Alamos NMC Faculty Appointee 2013: Best Paper Award from Theoretical & Applied Mechanics Letters 2011–2012: Graduate Scholarships (Virginia Tech) Laboratory & Advising NDEHL researches vibration-based energy harvesting, nonlinear dynamics, and drone aerodynamics. Dr. Abdelkefi mentors graduate students in experimental/computational projects, though specific advisees are unnamed in available data.
Alison Elder, Ph.D., is an Associate Professor in the Department of Environmental Medicine at the University of Rochester School of Medicine and Dentistry. She is affiliated with several research programs including the Environmental Health Sciences Center, the Inhalation Exposure Facility, the Toxicology Training Program (as Co-Director), the Lung Biology and Disease Program, and the Multidisciplinary Training in Pulmonary Research Program. Her research focuses on the toxicology of inhaled ultrafine particles (UFPs) and engineered nanomaterials, with implications for pulmonary, cardiovascular, and central nervous system health. Ph.D. in Environmental Toxicology, University of California, Irvine (1997) B.S. in Chemistry, Chatham College (1992) Post-doctoral Fellow, Department of Environmental Medicine, University of Rochester (1997–2000) Dr. Elder’s research centers on the health impacts of airborne particulate matter, particularly how age, co-pollutants, and health status influence responses to inhaled particles. Her work explores the translocation of particles to extrapulmonary tissues, including the brain, and their role in neurodegenerative diseases like Alzheimer’s. She investigates mechanisms such as oxidative stress, inflammation, and glymphatic dysfunction. Her lab also studies airborne micro- and nanoplastics, focusing on exposure characterization and health implications. Her recent publications span topics including Alzheimer’s disease models, glymphatic impairment, nanoparticle dissolution, and diesel exhaust effects on lung barriers. These works emphasize particle-induced inflammation, neurotoxicity, and the intersection of environmental exposure with neurological outcomes. Young Investigator Award, Society of Toxicology (2009) Cornerstone Alumna Award, Chatham University (2007) Graduate Student Fellowship, U.S. EPA (1995–1996) College Chemistry Award, Society for Analytical Chemists of Pittsburgh (1992) Dr. Elder mentors graduate students in toxicology and has trained numerous postdoctoral fellows and technicians. She leads an active research laboratory funded by NIH and DOD, investigating air pollution’s role in brain health and military burn pit exposures. Her collaborative research includes work with experts in neuroscience, materials science, and environmental engineering. She is also involved in national workshops on nanomaterial risk assessment and children’s environmental health. She leads the Elder Lab, which conducts studies on air pollution and Alzheimer’s disease, characterizes airborne micro- and nanoplastics, and develops models for nanoparticle toxicity. The lab uses advanced techniques in particle characterization, animal modeling, and cellular assays to assess health risks.
Amirreza Aghakhani is a Assistant Professor and Director of the Institute for Biomaterials and Biomolecular Systems at the University of Stuttgart . His work focuses on Microrobotics and Biomedical Engineering , particularly in targeted drug delivery, microsurgery, detoxification, and diagnostics using micro- and nanofabrication and ultrasound technologies . Research Interests: Microrobotics, biomedical applications, wireless actuation, acoustic manipulation, lab-on-a-chip systems, and smart materials. Recent publications highlight advancements in piezoelectric energy harvesting , magnetic microrollers for therapy, and acoustic trapping of particles. His team explores adaptive microrobotic agents and biologically-inspired designs to bridge biomedical research with clinical applications.
Dr Graeme Bragg is a Senior Teaching Fellow at the University of Southampton within the Department of Electronics and Computer Science . His work spans teaching, research, and technical development with a focus on event-driven computing, bioinformatics, and computational modeling. He actively supervises PhD students and collaborates on interdisciplinary projects. Research Interests: Parallel computing, event-driven systems, genotype imputation, Petri net simulations, subglacial hydrology modeling Teaching: Specializes in hardware description languages and computational methods for engineering students Technical Expertise: RISC-V architecture, FPGA acceleration, bespoke compute fabric development His recent publications demonstrate expertise in applying event-driven computing to diverse problems including: 2025: Automated marking systems for SystemVerilog labs 2025: Seasonal dynamics in subglacial hydrology 2023: Genotype imputation using custom hardware 2022: Optimization algorithms and graph analysis Current research explores: Custom RISC-V FPGA clusters for bioinformatics Event-triggered systems for scientific simulations Parallel computing solutions for molecular modeling Contact: gmb@ecs.soton.ac.uk | +44 23 8059 2784