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Ricardo Ruiz BaierView profile

Professor

• Numerical Analysis
• Scientific Computing
• Finite Element Methods
• +7 more

Ricardo Ruiz Baier is a Professor of Computational Mathematics at Monash University in Melbourne, Australia, where he also holds an ARC Future Fellowship. He is affiliated with the Victorian Heart Institute and the Monash Data Futures Institute, highlighting his interdisciplinary research bridging mathematical theory with biomedical applications. His research focuses on the design and analysis of numerical methods for partial differential equations, particularly those that preserve the physical properties of natural phenomena. His expertise includes fundamental topics in numerical analysis and scientific computing such as analysis of finite volume and finite element methods using mixed and augmented formulations, space-time adaptivity and error estimation, perturbed saddle-point problems, multiphase flow and transport in porous media, cardiac electrophysiology and electromechanics, and interface problems. His recent publications reveal a strong emphasis on virtual element methods, poroelasticity models, and cardiac mechanics applications. His work spans theoretical numerical analysis, computational methods development, and practical biomedical applications, particularly in cardiac modeling. The research demonstrates a consistent focus on multiphysics problems and the development of robust numerical schemes for complex coupled systems. Scientific Awards: ARC Future Fellowship FT22 for 'Next-generation methods for transport in poroelastic media with interfaces' Australian Research Council Discovery Project DP21 for 'Towards predictive 4D computational models for the heart' Ruiz Baier actively supervises a large research group with numerous PhD students and postdoctoral researchers working on diverse aspects of computational mathematics. His group has secured funding from multiple sources including Monash Mathematics, the Australian Research Council, IITB-Monash Doctoral Programme, and international government scholarships. He frequently organizes major conferences and workshops, including the Computational Techniques and Applications Conference (CTAC 2024) and MATRIX workshops on numerical analysis. His research group operates at the intersection of mathematics, computational science, and biomedical engineering, with particular focus on developing computational models for cardiac function and mechanics. The group collaborates with international institutions including the University of Oxford and University of Oslo.

Georgia IoannouView profile

Researcher

• Environmental Fluid Dynamics
• Industrial Fluid Dynamics
• Fluid Mechanics
• +3 more

Georgia Ioannou is a Researcher at the Department of Applied Mathematics and Theoretical Physics (DAMTP) within the University of Cambridge. She is affiliated with the Environmental and Industrial Fluid Dynamics research group. Her work focuses on fluid dynamics phenomena, particularly involving yield-stress fluids and their applications in geophysical contexts. Education and Background: While specific educational details are not provided, her affiliation with DAMTP suggests advanced training in applied mathematics or theoretical physics. Research Interests: Georgia’s research explores the dynamics of complex fluids, including impact cratering processes and their implications in environmental and industrial settings. Her work bridges theoretical models with computational methods to analyze fluid behavior under extreme conditions. Publications: Her recent publication (2023) highlights contributions to understanding yield-stress fluid mechanics in geophysical contexts. This reflects a focus on interdisciplinary applications of fluid dynamics. Awards and Grants: No specific awards or grants are mentioned in the provided text. Labs and Teams: She collaborates within the Environmental and Industrial Fluid Dynamics group at DAMTP, contributing to collaborative research initiatives in fluid mechanics and geophysics.

Alexandros ALEXAKISView profile

Professor

• Hydrodynamics
• Turbulence
• Magnetohydrodynamics
• +3 more

Professor Alexandros ALEXAKIS is affiliated with the Physics Department at ENS-PSL, where he holds a Professor position at the ENS Physics Laboratory (LPENS). His research focuses on hydrodynamics and turbulence, particularly addressing topics such as turbulent condensates, magnetic reconnection, and large-scale self-organization in fluid systems. He explores fundamental aspects of energy cascades, intermittency, and nonlinear dynamics in both classical and magnetohydrodynamic (MHD) turbulence. His work bridges theoretical frameworks, numerical simulations, and experimental insights to understand complex fluid behaviors in geophysical and astrophysical contexts. Key research interests include the interplay between large-scale flows and turbulent dynamics, the role of helicity in MHD systems, and the statistical properties of turbulent cascades. Recent studies have addressed topics like the spreading mechanisms of turbulence, the impact of fractal forcings on intermittency, and the saturation of turbulent dynamos. His contributions span fluid dynamics, plasma physics, and nonlinear systems, with applications to astrophysical plasmas and geophysical fluid dynamics. Professor ALEXAKIS' research also involves the development of shell models and geometric microcanonical theories to describe turbulent equilibria. He has published extensively on the transition between three-dimensional and quasi-two-dimensional turbulence, the effects of rotation and stratification on energy transfers, and the statistical signatures of fluctuation relations in turbulent systems.

Stephen RamseyView profile

Associate Professor

• Computational Systems Biology
• Bioinformatics
• Precision Medicine
• +6 more

Stephen Ramsey, an Associate Professor at Oregon State University, holds dual appointments in the School of Electrical Engineering and Computer Science (College of Engineering) and the Department of Biomedical Sciences (Carlson College of Veterinary Medicine). With a PhD in Physics from the University of Maryland, his postdoctoral training in computational genomics at the University of Washington, and professional experience at the Institute for Systems Biology and Center for Infectious Disease Research, Ramsey bridges computational methods with biomedical applications. Education : Ph.D., Physics, University of Maryland; M.S., Physics, University of Maryland; Sc.B., Mathematical Physics, Brown University Ramsey specializes in computational systems biology , focusing on bioinformatics , biomedical knowledge graphs , and precision medicine . His research integrates machine learning , gene regulatory network modeling , and multi-omics data analysis to address challenges in rare disease diagnostics , drug monitoring , and inflammatory disease mechanisms . Current work includes AI-driven biomedical translation and electrochemical biosensor development for non-invasive diagnostics . Recent publications highlight knowledge graph applications in translational biomedicine , causal network inference in clinical-environmental data integration , and cross-species cancer transcriptomics . His team develops tools like RTX-KG2 and PloverDB to standardize biomedical data sharing and semantic reasoning . Scientific Awards : 2019 Zoetis Award (Carlson College of Veterinary Medicine) 2016 NSF CAREER Award 2016 PhRMA New Investigator Award 2010 NIH K25 Mentored Quantitative Research Award Ramsey advises in computational biology courses (CS 446/546) and contributes to biomedical AI through projects like mediKanren for rare disease diagnostics . His NSF-funded research explores gene expression noise and regulatory network dynamics , while NIH and PhRMA grants support his translational medicine initiatives. He leads the Ramsey Laboratory , which develops graph-based reasoning tools for biomedical data translation and multi-omics integration . The lab's work spans comparative oncology models, electrochemical biosensors , and knowledge graph infrastructure for clinical decision support .

Nariman SepehriView profile

Professor

• Fluid Power Systems
• Robotics and Teleoperation
• Control Systems
• +4 more

Dr. Nariman Sepehri is a Professor in the Department of Mechanical Engineering at the Price Faculty of Engineering, University of Manitoba, Canada. He has held significant administrative roles including Department Associate Head (Graduate Studies), Associate Dean of Engineering (Undergraduate Programs), and Acting Dean of Engineering. His research focuses on fluid power systems, robotics, and control with applications in rehabilitation and heavy machinery. Education: Post-Doctorate, Electrical & Computer Engineering, University of British Columbia, Canada (Tele-Robotics, Mechatronics) PhD, Mechanical Engineering, University of British Columbia, Canada (Control, Fluid Power Systems, Robotics) MSc, Mechanical Engineering, University of British Columbia, Canada (Computer-Aided Manufacturing Planning) BSc, Mechanical Engineering, Sharif University of Technology, Iran (Machine Design) Dr. Sepehri's research interests span Fluid Power Systems and Technology , Robotics and Teleoperation , Control Systems , Condition Monitoring , and Mechatronics of Rehabilitation Devices . His work integrates advanced control theory with practical applications in hydraulic and pneumatic systems, aiming to improve energy efficiency and reliability in robotics, manufacturing, aerospace, and healthcare. Notably, he has developed innovative rehabilitation devices using game-based interfaces for stroke and cerebral palsy patients. His recent publications (2022-2025) demonstrate a strong trend towards energy-efficient hydraulic systems, fault detection using machine learning, and the development of soft robotic actuators for rehabilitation. Key areas include electro-hydrostatic actuators, pump-controlled circuits, and the application of advanced algorithms for condition monitoring and control. Scientific Awards: Dean of Engineering’s Award for Superior Academic Performance University of Manitoba Rh Award for outstanding contributions to scholarships and research in Applied Sciences Fellow of the Canadian Academy of Engineering (CAE) Fellow of the American Society of Mechanical Engineers (ASME) Fellow of the Canadian Society for Mechanical Engineering (CSME) Dr. Sepehri has supervised over 100 graduate and postdoctoral students, contributing significantly to the field of fluid power and robotics. His research has been supported by major grants from the Natural Sciences and Engineering Research Council of Canada (NSERC) and other sources, enabling the establishment of the Fluid Power Research Laboratory. This lab features state-of-the-art equipment including a human-robot-in-the-loop simulator and hardware-in-the-loop test facilities for condition monitoring. The Fluid Power Research Laboratory at the University of Manitoba, under Dr. Sepehri's leadership, is a hub for innovation in fluid power technology. The lab collaborates internationally with researchers in USA, Brazil, China, Hungary, Romania, Denmark, Sweden and France, and has developed interdisciplinary projects bridging engineering with healthcare applications.

Mark TachieView profile

Professor

• Turbulent Shear Flows
• Fluid Dynamics
• Boundary Layer Turbulence
• +5 more

Dr. Mark Tachie is a Full Professor in the Department of Mechanical Engineering at the University of Manitoba's Price Faculty of Engineering. He holds a B.Sc. from Kwame Nkrumah University of Science and Technology (1993), M.Sc. (1998), and Ph.D. (2001) from the University of Saskatchewan. His research focuses on experimental fluid dynamics, particularly turbulent shear flows, boundary layers, and bluff body hydrodynamics. He operates a state-of-the-art lab with stereoscopic PIV and tomographic PIV systems. Notable awards include the 2010 Rh Award and Governor General's Gold Medal for academic excellence. Research interests include turbulent boundary layers, free surface flows, and flow separation phenomena. His work addresses industrial and environmental challenges like fish migration hydraulics and ice-jam dynamics. He has over 300 peer-reviewed publications and served as Associate Editor of the ASME Journal of Fluid Engineering (2010–2017) and Associate Head of the Mechanical Engineering Department (2011–2019). Key contributions include studies on wake dynamics of submerged cylinders, twin jets, and flow interactions with complex geometries. His lab's advanced PIV systems enable detailed turbulence visualization and analysis. Current projects explore turbulence modification in spillways and ice-covered flows, aiming to improve fish passage and environmental flow management.

Ronald Y. S. PakView profile

Professor

• Geotechnical Engineering
• Earthquake Engineering
• Soil Dynamics
• +6 more

Ronald Y. S. Pak is a Professor in the Department of Geotechnical Engineering & Geomechanics at the University of Colorado. He holds the position of Professor in the School of Civil, Environmental and Architectural Engineering. His research focuses on geotechnical earthquake engineering, dynamic soil-structure interaction, wave propagation, and constitutive modeling in porous media. Education: Ph.D., California Institute of Technology, Pasadena (1985) M.S., California Institute of Technology, Pasadena (1980) B.E., McMaster University, Canada (1979) Research Interests: Dynamic soil-structure interaction and wave propagation in geotechnical systems Rock mechanics under dynamic and cyclic loading conditions Poroelasticity and boundary element methods for multi-layered media Seismic response of structures and canyons to oblique ground motion Experimental and analytical modeling of geotechnical systems Key Contributions: Development of advanced computational frameworks for soil-structure interaction Studies on water weakening mechanisms in saturated rocks Analysis of seismic amplification effects in complex topographies Awards & Affiliations: NSF Presidential Young Investigator (1985) Association of Professional Engineers Gold Medal, Ontario, Canada Editorial Board Member, ASCE Journal of Engineering Mechanics Member, American Society of Civil Engineers Facilities & Location: Office: ECOT 423, University of Colorado Contact: 303-492-8613 | pak@colorado.edu

Christopher GreenView profile

Assistant Professor

• Applied Mathematics
• Complex Analysis
• Fluid Mechanics
• +3 more

Dr. Christopher Green is an Assistant Professor of Applied Mathematics at Wichita State University's Fairmount College of Liberal Arts and Sciences, Department of Mathematics, Statistics & Physics. He holds a PhD from Imperial College London (supervised by Prof. Darren Crowdy) and has held postdoctoral positions at the University of California San Diego and Queensland University of Technology. Previously, he served as a Lecturer in Applied Mathematics and ARC DECRA Fellow at Macquarie University in Sydney, Australia. His research focuses on computational and applied complex analysis, particularly in multiply connected domains. Key interests include the Schottky-Klein prime function, ideal fluid mechanics, and free boundary problems. His work bridges classical function theory with modern computational methods. Recent publications emphasize fluid dynamics applications such as Hele-Shaw bubble dynamics, harmonic measure computations, and airfoil potential flow. His research has been published in high-impact journals across applied mathematics and fluid mechanics. Christopher Green has received the ARC DECRA Fellowship, a prestigious early-career award. His advising and grants include contributions to computational methods in complex analysis and fluid dynamics. He maintains active collaborations internationally, leveraging both theoretical and numerical approaches to geometrically complex problems.

Qurat-ul-Ain AzimView profile

Teaching Professor

• Fluid Dynamics
• Biomedical Engineering
• Mathematical Modeling
• +3 more

Qurat-ul-Ain Azim is an Assistant Teaching Professor in the Department of Mechanical and Industrial Engineering at Northeastern University. She holds a PhD in Mathematics from Imperial College London (2016). Her research focuses on fluid dynamics, mathematical modeling in biomedical contexts, porous media applications, and heat transfer in complex fluid systems. Dr. Azim's work spans theoretical and applied studies, including computational models for biomedical systems like breast cancer epidemiology and renal tubule dynamics. She also investigates non-Newtonian fluid flows (e.g., Jeffery, PTT, and Oldroyd fluids) in engineering and biological settings. Her contributions address challenges in porous medium analysis, thin film coatings, and peristaltic pumping mechanisms. Her publications highlight interdisciplinary applications of fluid mechanics, with recent work emphasizing disease modeling and porous media interactions. Collaborative projects involve biomedical engineering, polymer rheology, and thermal analysis of fluid systems. While no specific awards or grants are listed, her extensive publication record reflects continuous engagement with cutting-edge research in applied mathematics and mechanical engineering.

Olga TuranovaView profile

Assistant Professor

• Nonlinear PDEs
• Reaction-Diffusion Equations
• Free Boundary Problems
• +3 more

Olga Turanova is an Assistant Professor in the Department of Mathematics at Michigan State University (MSU). Her research focuses on nonlinear partial differential equations (PDEs), reaction-diffusion systems, free boundary problems, optimal transport, and numerical analysis. She is currently supported by the NSF grant DMS-2204722. Her work bridges theoretical mathematics with applications in biology and engineering. Key areas of investigation include tumor growth models, chemotaxis dynamics, and robotic swarm coverage optimization. She actively contributes to the analysis of incompressible limits, nonlocal equations, and multi-agent control systems. Research outputs span topics from mathematical biology to fluid dynamics, with recent emphasis on nonlocal diffusion phenomena and inhomogeneous tissue growth models. Turanova maintains an active presence in the academic community through her arXiv preprints and Google Scholar profile. Her grants and collaborations reflect interdisciplinary interests, integrating analytical rigor with computational methods to address complex systems in natural and engineered environments.

Michal KalkowskiView profile

Associate Professor

• Non-destructive testing
• Material characterisation
• Ultrasonic imaging
• +6 more

Michal Kalkowski is an Associate Professor at the University of Southampton's Institute of Sound and Vibration Research (ISVR). His research focuses on structural wave and vibration analysis for non-destructive testing, material characterization, and infrastructure monitoring. He develops advanced modeling tools and signal processing techniques for applications in nuclear energy, aerospace, and water industries. Current projects include weld inspection through ultrasound-based 'weld map tomography' and leak detection in buried pipes using distributed acoustic sensing. He is Editor of the Journal of Sound and Vibration and Co-chair of the UK Acoustics Network UKAN+. Education: MEng in Control Engineering & Robotics (AGH University, Krakow), PhD in Structural Wave Applications (ISVR, 2010). Postdoctoral work included EPSRC projects on active vibration control and underground structure interrogation. Served as H2020 ADVISE project researcher at Imperial College London before returning to Southampton in 2021 as Lecturer in Dynamics. Teaching responsibilities include coordinating the Mechanics, Machines & Vibration module (joint with Harbin Engineering University), and teaching Statics/Dynamics (FEEG1002) and Fundamentals of Vibration (ISVR6141). Actively supervises four PhD students in engineering disciplines. Research highlights include: Developing numerical models for wave propagation in complex materials Pioneering weld map tomography for grain orientation analysis Advancing distributed acoustic sensing for infrastructure monitoring AI integration for coarse-grained metal characterization Current active projects: Horizon Europe iWeld intelligent Weld inspection and EPSRC Core Equipment grants.

• Applied Mathematics
• Computational Modeling
• Fracture Mechanics
• +2 more

Jay Walton is a Professor in the Department of Mathematics at Texas A&M University. His research focuses on applied mathematics with applications in biomechanics, fracture mechanics, and computational modeling. He received the 2010 Association of Former Students Teaching Award for his educational contributions. His current research explores mathematical modeling of biological systems, including biochemical reaction networks, cellular iron trafficking, and fluid dynamics. Work integrates advanced computational methods to address complex biological questions with sparse data constraints.

Jörg G. WernerView profile

Assistant Professor

• Nanostructured Materials
• Block Copolymer Self-Assembly
• Energy Storage
• +2 more

Jörg G. Werner is Assistant Professor of Mechanical Engineering and Materials Science & Engineering at Boston University, where he directs the Mesostructured Materials and Devices (MeMaD) Laboratory. His research develops novel fabrication methods for functional nanostructured materials with applications in energy storage, coatings, and sustainability technologies. Education includes: Ph.D. from Cornell University (2015) Research focuses on: Bottom-up assembly of nano/micro-structured materials Block copolymer self-assembly for ordered mesostructures Electrodeposition of functional polymer coatings Phase separation strategies for architected electrodes Design of mesostructured energy storage systems Recent work emphasizes electrodeposited conformal coatings, nanostructured organogels, and block copolymer-derived functional materials. Key trends include innovation in energy storage architectures and sustainable material design. Awards and honors: DARPA Young Faculty Award (2023) emc2 Young Investigator Award (2013) Howard Neal Wachter Memorial Prize (2014) Leads the MeMaD Lab with focus on interdisciplinary approaches to materials design through controlled self-assembly processes.

Nicholas OuelletteView profile

Professor

• Complex Systems
• Fluid Dynamics
• Environmental Engineering
• +4 more

Nicholas Ouellette is a Professor of Civil and Environmental Engineering at Stanford University, specializing in complex systems far from equilibrium. His research emphasizes dynamical self-organization across disciplines like fluid dynamics, granular media, and collective animal behavior. He holds a Ph.D. in Physics from Cornell University (2006), an M.S. in Physics (2005), and a B.A. in Physics and Computer Science from Swarthmore College (2002). Prior to Stanford, he was on the faculty at Yale University’s Mechanical Engineering and Materials Science department from 2008-2015. He has received teaching awards at both institutions. His work spans experimental and theoretical studies of turbulence, granular erosion, insect swarms, and urban dynamics. Current research includes sediment transport in turbulent flows, collective behavior in bird flocks, and urban street network analysis. He leads the Environmental Complexity Lab and collaborates on projects involving ocean mixing instrumentation and computational modeling of complex systems. Research interests include turbulent flows in fluids, particle transport dynamics, granular bed erosion mechanics, and quantitative analysis of animal collective motion. Techniques employed range from particle tracking velocimetry to machine learning for free-surface reconstruction. Ouellette’s recent work explores interdisciplinary connections between physics and urban systems, such as pedestrian access optimization in suburban layouts and the interplay of multiple environmental stressors in policy modeling. Notable contributions include studies on midge swarm mechanics, jackdaw flock kinematics, and the application of spectral analysis to energy transfer in turbulence. His lab develops advanced measurement systems for oceanographic studies and applies network theory to environmental and urban systems analysis. Ouellette maintains active collaborations across engineering, biology, and policy domains.

Jörg SeumeView profile

Professor

• Turbomachinery
• Fluid Dynamics
• Gas Turbine Technology
• +5 more

Prof. Jörg Seume is the Executive Director of the Institute of Turbomachinery and Fluid Dynamics at Leibniz University Hannover (Faculty of Mechanical Engineering). He also serves as Spokesperson of the Collaborative Research Centre (CRC) 871 'Regeneration of Complex Capital Goods' and holds roles in the Leibniz Research Centre Energy 2050. His research focuses on turbomachinery, fluid dynamics, gas turbine technology, and aerodynamics. Education details are not explicitly provided, but his academic and professional trajectory indicates expertise in mechanical engineering and fluid dynamics. Research interests include compressor and turbine design, aeroelasticity, aeroacoustics, and energy systems (e.g., PEM fuel cells, organic Rankine cycles). Recent publications (2023-2024) emphasize numerical simulations of turbine and compressor performance, aeroacoustic scaling, labyrinth seal dynamics, and innovations in hydrogen and fuel cell systems. He leads experimental and computational projects, including wind tunnel tests and fluid dynamics modeling. Notable projects include the WiValdi wind farm research initiative and the development of electric turbochargers for automotive applications. His work bridges academic research with industrial applications in energy and propulsion systems.