Dr. Tom L Hill is a Lecturer in the School of Electrical, Electronic and Mechanical Engineering at the University of Bristol, specializing in nonlinear structural dynamics. His research focuses on understanding nonlinear behavior in engineering systems and developing advanced modeling and identification techniques. Education : BEng and PhD from the University of Bristol His work addresses the limitations of linear assumptions in high-performance design, emphasizing nonlinear modeling, modal interactions, and system identification. Key themes include overcoming challenges in nonlinear dynamic systems through analytical and numerical methods. Recent publications explore ultrasonic radiation forces, resonance validation techniques, and reduced-order modeling. Collaborations span mechanical engineering, biomedical applications, and industrial projects. No scientific awards are explicitly mentioned. Activities include invited seminars at Sheffield University, outreach at Bristol Free School, and visiting research at the University of Wisconsin System.
Pierre Boivin is a Chargé de Recherche at CNRS with a Habilitation à Diriger des Recherches (HDR), affiliated with the Thermodynamique Ondes Numérique Interfaces Combustion team at M2P2 Institute (Aix-Marseille University). His work bridges theoretical and applied combustion research, focusing on numerical methods for reactive flows and hydrogen safety. Key Research Areas: Combustion physics, hydrogen flame modeling, lattice Boltzmann methods (LBM), compressible flow simulation, and detonation/ignition prediction. Scientific Contributions: 2024 CNRS Bronze Medal for advancing hydrogen combustion theory; developed novel LBM solvers for compressible flows and reduced-order models for self-ignition risks. Collaborations: Frequent co-authorship with Song Zhao, Pierre Sagaut, and teams at M2P2 and CNRS. Article Trends: Recent publications (2025–2021) emphasize LBM for hydrogen combustion, shock-wave interactions, and safety modeling. Key subfields include reactive flow stability, thermodiffusive instabilities, and hybrid numerical algorithms. Scientific Awards: CNRS Bronze Medal (2024) for hydrogen combustion breakthroughs.
Denis Martinand serves as a Lecturer at Aix-Marseille University (AMU) with Habilitation à Diriger des Recherches (HDR) status, affiliated with the Instabilities, Turbulence and Couplings research team at the M2P2 laboratory (a joint unit of AMU, CNRS, and Centrale Marseille). His work bridges theoretical fluid mechanics and membrane process engineering through experimental and computational approaches. Martinand's research centers on hydrodynamic instabilities and turbulence in complex flows, with emphasis on Taylor-Couette systems , membrane distillation processes, and granular media. Key interests include: Stability mechanisms in sheared thermal boundary layers Osmotic pressure effects on vortex stability Unsteady mixing dynamics in spacer-filled membrane channels Rayleigh-Taylor phenomena in two-phase granular flows Global mode selection in permeable-wall configurations His methodology integrates linear stability analysis, CFD simulations, and experimental validation. Analysis of his 15 most recent publications reveals a consistent focus on instability-triggered transport enhancement, particularly in membrane filtration systems. The work demonstrates sophisticated coupling between fluid dynamics and separation processes, with growing emphasis on granular flow instabilities since 2020. Recent papers increasingly address industrial applications through reduced-order modeling. Martinand actively supervises doctoral research as an HDR-qualified supervisor, though specific advisees aren't listed. His collaborations span international teams including CNRS researchers, membrane technology specialists, and computational fluid dynamicists. Current projects likely involve granular instability modeling and membrane process optimization based on recent publication trends. He operates within the M2P2 laboratory's fluid dynamics group, utilizing advanced CFD resources and experimental facilities for flow visualization. The Instabilities, Turbulence and Couplings team provides a multidisciplinary environment integrating theoretical modeling with industrial applications in energy and separation processes.
Professor Chiara Galletti is a full professor of Principles of Chemical Engineering at the University of Pisa, where she serves in the Department of Civil and Industrial Engineering within the School of Engineering. She holds several important institutional roles including being a member of the Department's Board of Directors, the department's Job Placement coordinator, and the Delegate for Business Relations at the University of Pisa. Professor Galletti also directs the "Computational Fluid Dynamics for Reactive and Multiphase Flows" laboratory. Professor Galletti earned her honors degree in Chemical Engineering from the University of Pisa in 2001 and completed her PhD in Chemical and Materials Engineering from the same institution in 2005. She furthered her academic experience with a Visiting Research Associate position at King's College London from 2002 to 2005 and a Visiting Scholar role at the University of California, San Diego, in 2012. Her academic career progressed from trainee researcher at the University of Pisa in 2005 to full-time researcher in 2008, associate professor in 2016, and full professor since 2023. Professor Galletti's research focuses on the fluid dynamics of equipment in process and energy industries, with particular emphasis on design and optimization using computational and experimental fluid dynamics techniques. Her work explores innovative combustion technologies for ecological transition through sustainable fuels, especially in hard-to-abate industrial sectors, and process intensification using flow reactors including microfluidic systems. Her expertise spans hydrogen and ammonia combustion technologies, pollutant formation and control, and microfluidic applications in chemical engineering. Analysis of Professor Galletti's recent publications reveals a strong focus on decarbonization technologies, particularly hydrogen and ammonia combustion systems for industrial applications. Her work addresses critical challenges in the energy transition, including NOx emissions control, flashback phenomena in hydrogen combustion, and the development of sustainable fuel alternatives. There is also a consistent thread of microfluidic research examining droplet formation, nanoparticle production, and reaction yield optimization in various microreactor configurations. Professor Galletti has demonstrated exceptional commitment to education and mentorship, having supervised over 110 master's theses across chemical, energy, and aerospace engineering disciplines, as well as 11 doctoral theses. Her teaching primarily focuses on computational fluid dynamics, chemical reaction engineering, pollutant formation and control in combustion, and process intensification in chemical engineering within master's degree programs. As director of the "Computational Fluid Dynamics for Reactive and Multiphase Flows" laboratory, Professor Galletti leads a research team that bridges computational modeling with experimental validation. Her laboratory work supports collaborations with leading companies in the process and energy industries, and she serves as the scientific director for these industrial partnerships. The laboratory's research spans from fundamental fluid dynamics to applied industrial solutions for the energy transition.
Pietro Paolo Corso is a Researcher at the University of Palermo , affiliated with the Polytechnic School and the Department of Physics and Chemistry - Emilio Segrè . He also serves as the Delegate for extraordinary projects and digital infrastructures at the university. Office hours: Wednesday and Thursday, 8:00–9:00 at Locali Ed. 6 Contact: Phone +39 091 23891712 | Email pietropaolo.corso@unipa.it His research spans Quantum Mechanics , Laser Physics , and Computational Methods , focusing on phenomena like High-Order Harmonic Generation (HHG) , attosecond pulse generation , and quantum dynamics of molecular ions . Interdisciplinary work includes Electronic Health Records (EHR) and data privacy in healthcare systems. Key trends in his 2024–2003 publications include: HHG in graphene and quantum rings Quantum-classical transitions in laser-driven nanorings Control of molecular dynamics via laser polarization Nonlinear effects in strong laser fields Interdisciplinary applications in healthcare IT He supervises Physics I courses for Chemical and Biochemical Engineering (2016–2025) and has been evaluated by students for teaching effectiveness across multiple academic years.
Professor Rubén Sevilla is a Computational Engineering academic at the Faculty of Science and Engineering , Swansea University . He holds a Chair in Civil Engineering and has held leadership roles including President of the UK Association for Computational Mechanics and Chief Editor of the European Journal of Computational Mechanics . PhD in Civil Engineering (2009), UPC-BarcelonaTech Postdoctoral Researcher (2009-2012), Zienkiewicz Centre for Computational Engineering Lecturer (2012), Senior Lecturer (2015), Associate Professor (2016), Full Professor (2021) Research Interests focus on high-order numerical methods for engineering problems, including: Face-Centred Finite Volume Methods (FCFV) Hybridizable Discontinuous Galerkin (HDG) NURBS-Enhanced Finite Element Methods (NEFEM) Reduced Order Modeling Machine Learning for Mesh Optimization Computational Fluid and Electromagnetic Dynamics Geometrically Parametrized Problems Article Trends show a focus on hybrid numerical methods for fluid-structure interaction, geometrically accurate mesh generation using NURBS, machine learning integration for flow simulations, and parametric modeling of complex systems. His work bridges CAD and FEM through NEFEM while advancing reduced-order models for real-time engineering applications. Scientific Awards include: European Association for Computational Methods in Applied Sciences award Spanish Association for Computational Methods in Engineering award Birkhauser-Verlag Best Thesis award (Spain/Europe) EMERALD award SIAM award Welsh Government recognition Teaching & Supervision spans modules like Finite Element Computational Analysis and Problem Solving with MATLAB . He supervises PhD students in computational mechanics and co-led the International MSc in Computational Mechanics since 2012. Grants & Projects include: EPSRC-funded "Feature-Independent Mesh Generation" (2020-2023, £427,929) ELEMENT - Exascale Mesh Network (2020-2021, £245,611) EPSRC Solar Absorber Project (2017-2020, £315,556) H2020 Advanced Model Reduction (2015-2019, €2,080,164.96)
Alessandro Lucantonio is an Associate Professor at the Department of Mechanical and Production Engineering in Aarhus University , specializing in computational mechanics and machine learning applications in soft matter systems. His work focuses on predictive modeling of active materials, transient morphing structures, and biomedical device optimization. Research Areas: Soft robotics, machine learning for mechanics, poroelastic materials, and bioinspired design. Contact: a.lucantonio@mpe.au.dk , +45 93 51 77 76 His recent publications highlight interdisciplinary approaches combining symbolic regression, computational modeling, and experimental validation in soft robotics and responsive materials. Key trends include adaptive shape morphing, fluid-structure interactions, and predictive simulations for biomedical applications.
Michael Posa is an Assistant Professor in Mechanical Engineering and Applied Mechanics at the University of Pennsylvania's School of Engineering and Applied Science. He also holds affiliations with the Departments of Computer and Information Science, and Electrical and Systems Engineering. As the head of the Dynamic Autonomy and Intelligent Robotics (DAIR) Lab, part of the GRASP Lab, his research focuses on control, learning, and planning for robots interacting dynamically and safely with complex environments. Key interests include non-smooth dynamics of contact, machine learning, and numerical optimization, with applications in legged robots and robotic manipulation. His work emphasizes computationally efficient algorithms for real-time control and decision-making. Recent achievements include the 2024 Best Paper Award for contributions to multi-contact model predictive control. He actively mentors students like Brian Acosta and William Yang, whose theses address bipedal walking and dynamic manipulation. The DAIR Lab collaborates on interdisciplinary projects and participates in robotics conferences like ICRA. Michael’s lab emphasizes diversity and innovation, recruiting students across MEAM, ESE, and CIS departments. His research bridges theory and practice, with publications spanning model reduction for legged systems, vision-based contact localization, and impact-aware control strategies. Ongoing efforts explore contact-implicit MPC frameworks and integrating physics-driven perception (e.g., Vysics) for robust autonomy.
Maria Strazzullo is a Fixed-term Assistant Professor at the Department of Mathematical Sciences (DISMA) within Politecnico di Torino, Italy. Her research focuses on reduced order methods, optimal control theory, and numerical analysis for parametrized partial differential equations. Numerical Analysis and Scientific Computing Model Order Reduction Neural Networks for Parametrized PDEs Uncertainty Quantification Her recent publications address convection-dominated flows, bifurcating nonlinear PDEs, and optimal control problems with random inputs. She collaborates on interdisciplinary projects integrating machine learning with computational physics.
Alex Novoselov serves as Assistant Professor in the Department of Mechanical Engineering at the University of Utah's College of Engineering, specializing in combustion dynamics and sustainable energy systems. His research encompasses: Hydrogen and ammonia combustion for decarbonization Turbulent boundary layer flashback phenomena Deflagration to detonation transition (DDT) Hybrid rocket propulsion systems Cool flame dynamics and low-temperature combustion Recent publications (2020-2025) reveal a strong computational focus using Large Eddy Simulation and manifold-based reduced-order models to address safety challenges in gas turbines and rocket engines. His work increasingly investigates ammonia/hydrogen blends as sustainable aviation fuels while maintaining core expertise in flashback dynamics. Dr. Novoselov mentors undergraduate researchers through the Summer Program for Undergraduate Research (SPUR), emphasizing project relevance, achievable milestones, and presentation skill development. His NSF CAREER award supports fundamental research on lean hydrogen flame stability in gas turbines. His computational research group develops advanced simulation frameworks for complex reacting flows, contributing to next-generation propulsion and power generation technologies.
Nicholas P. Breznay is an Assistant Professor in the Department of Physics at Harvey Mudd College. His research focuses on quantum materials, where collective electron interactions lead to exotic states of matter such as superconductors, spin-liquid magnets, and Anderson insulators. He conducts low-temperature experiments (≤1 K) using thin film and bulk crystal samples, exploring phenomena like charge order, spin memory, and quantum oscillations under intense electromagnetic fields. His research group, the BrezLab, utilizes advanced tools including LHe cryostats, scanning probes, and 2D materials synthesis stations. Collaborators include Professors Matthias Wuttig (RWTH Aachen), Alex Frano (UC San Diego), and Claudia Ojeda-Aristizabal (Cal State Long Beach). Key research themes: Quantum phase transitions in disordered systems Electron correlations in Kitaev and cuprate superconductors Spintronics applications of phase-change materials Surface and bulk interactions in topological iridates The BrezLab has produced significant publications on topics ranging from spin-liquid magnetism to charge order topology, as evidenced by articles in Nature , Nature Physics , Physical Review B , and Science Advances . His 2022 Nature commentary highlighted strange metal behavior in failed superconductors. Current and former students in his lab have contributed to projects involving magnetic phase transitions, charge localization, and quantum oscillations. The lab emphasizes hands-on experimentation and modeling of fundamental properties for next-generation electronic materials.
Boris Kramer is an Associate Professor in the Department of Mechanical and Aerospace Engineering at the University of California San Diego , affiliated with the Jacobs School of Engineering . He leads research in computational methods for control , optimization , and uncertainty quantification of complex systems, with applications in space weather modeling , systems biology , and soft robotics . Center for Extreme Events Research (CEER) Center for Computational Mathematics (CCoM) Air Force Center of Excellence Multi-Fidelity Modeling His work focuses on reduced-order modeling (ROM) and data-driven methods that preserve physical structures (e.g., energy conservation in Hamiltonian systems). Recent projects include collaborations with Samsung Electronics for semiconductor manufacturing optimization and leadership in DOE's PSAAP IV program for radiation resilience modeling. Kramer's research has been featured in Nature Computational Science and Science News , with grants from NSF , DoD , and AFOSR . His group has advised students like Opal Issan (published in Journal of Computational Physics) and Nate Linden (Nature Communications). Scientific awards include: NSF CAREER Award (2022) DoD Newton Award for Transformative Ideas (2020) Outstanding PhD Student Award (2024-2025, UCSD MAE) MURI funding for Digital Twins (2023) Outreach efforts include participation in the Barrio Logan Science & Art Expo and the Southeast San Diego STEM Ecosystem , emphasizing science communication for K-12 audiences.
Pankaj Wahi is a Professor in the Department of Mechanical Engineering at Indian Institute of Technology Kanpur (IIT Kanpur). His educational background includes a PhD in Mechanical Engineering from IISc Bangalore (2005) with a thesis titled "A study of delay differential equations with applications to machine tool vibrations" supervised by Prof. Anindya Chatterjee, and a BE in Mechanical Engineering from GEC Bilaspur, Chhattisgarh (2001). Dr. Wahi's research focuses on Nonlinear Dynamics, Vibrations and Controls . His specific interests include: Reduced order modeling Vibration of continuous systems Control of self-excited oscillations Mechanics of machining Time-delayed systems He has received several prestigious awards including the INAE Young Engineer Award (2013) and the INSA Medal for Young Scientist (2013), as well as the Marie-Curie Fellowship (2005-2006). Dr. Wahi has extensive professional experience, having served as an Assistant Professor at IIT Kanpur from September 2008 to March 2012, and as Visiting Faculty from September 2007 to August 2008. Prior to that, he was a TEES Post-Doctoral Research Fellow at Texas A&M University, USA, a Research Associate at the Indian Institute of Science, and a Marie-Curie Fellow at the Technical University of Berlin, Germany. His teaching areas include Dynamics, Mechanics of Solids, Engineering Design and Graphics, Theory of Machines and Mechanisms, Nonlinear Vibrations, Vibrations of Continuous Systems, and Mechanics of Ground Vehicles.
Stavroula Balabani is Professor of Fluid Mechanics at the Department of Mechanical Engineering, University College London (UCL). Her research spans experimental fluid mechanics, biofluids, and microfluidics with applications in healthcare, energy, and manufacturing. She leads an experimental group studying fluid-structure interactions, cardiovascular flows, and microscale technologies for diagnostics and drug delivery. Chemical Engineering Degree, National Technical University of Athens (NTUA) PhD in Fluid Mechanics, King’s College London Her research focuses on: Advanced laser diagnostics for microscale and macroscale transport phenomena Haemodynamics in vascular pathologies (arteriovenous grafts, aortic dissections) Microfluidic modeling of red blood cell behavior and aggregation Elastoinertial instabilities in Taylor-Couette flows Development of reduced-order models for personalized haemodynamic simulations Innovative vortex reactors and flow separation dynamics Recent publications demonstrate her interdisciplinary work combining: Patient-specific CFD simulations validated via MRI Machine learning-enhanced hemodynamic predictions Microfluidic platforms for medical diagnostics Experimental characterization of complex fluid instabilities Scientific Leadership: EPSRC College member IChemE Fellow ASME Journal Associate Editor Her research has been funded by EPSRC, EU programs, and Innovate UK. She collaborates with clinicians and engineers to translate fluid mechanics insights into healthcare solutions.
Distinguished Professor Buddhima Indraratna serves as the Director of the Transport Research Centre at the University of Technology Sydney (UTS), within the School of Civil and Environmental Engineering. He is a world authority on the application of fundamental and applied geotechnical research to transportation infrastructure development, with a particular focus on railway engineering. Professor Indraratna's educational background includes a PhD in Geotechnical Engineering from the University of Alberta, Canada (1984-1987), an MSc in Soil Mechanics and Engineering Seismology from Imperial College London (1983-1984), and a BSc (Hons) in Civil Engineering from Imperial College London (1979-1982). His research interests span transportation geomechanics, soft soil engineering, ground improvement techniques, jointed rock engineering, and dams and embankment engineering. Professor Indraratna has pioneered innovative approaches to stabilizing rail and road embankments built over soft foundations, developed novel analytical techniques for high-speed rail tracks, and explored the utilization of waste materials in transport infrastructure. His work on recycled rubber applications for railway tracks has significantly advanced sustainable engineering practices. Professor Indraratna's extensive publication record shows a clear focus on sustainable transportation infrastructure, with particular emphasis on recycling waste materials like rubber, coal wash, and glass for railway and road construction. His recent work demonstrates increasing integration of computational methods including DEM (Discrete Element Method) and machine learning for predicting material behavior under cyclic loading conditions. Member of the Order of Australia (AM) in the General Division (2024) 6th International Civil Engineer Award (2023) 2024 Sir John Holland Civil Engineer of the Year 2025 Thomas Keefer Medal from the Canadian Civil Engineering Society 1st Ralph Proctor Lecture and 4th Louis Menard Lecture of ISSMGE Engineers Australia Transport Medal (2011) Thomas Telford Premium by UK's Institution of Civil Engineers (2015) Sir Visveswaraya Award for Most Outstanding Overseas Contribution to Civil Engineering (2023) Professor Indraratna has supervised over 120 Higher Degree Research students (including more than 90 PhD candidates) and mentored over 40 postdoctoral fellows throughout his career. He has secured more than AUD 30 million in research funding over the past two decades, leading numerous Australian Research Council projects including the Industrial Transformation Training Centre for Rail (ITTC-Rail), which he founded as inaugural Director in 2018. His research collaborations span multiple institutions and industry partners globally, focusing on practical solutions for transportation infrastructure challenges. As Director of the Transport Research Centre at UTS, Professor Indraratna leads a multidisciplinary team of researchers focused on innovative solutions for railway and road infrastructure. The Centre operates the National Facility for Cyclic Testing of High-speed Rail and collaborates with industry partners to translate research into practical applications that improve track performance, reduce maintenance requirements, and promote sustainable engineering practices through the utilization of recycled materials.
