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Shravan VeerapaneniView profile

Professor

• Scientific computing
• Fast algorithms
• Potential theory
• +10 more

Shravan Veerapaneni is a Professor in the Department of Mathematics at the University of Michigan, within the College of Literature, Science, and the Arts. His research focuses on developing large-scale computational tools for solving differential and integral equations on complex moving geometries that arise in engineering and biophysics. His work spans multiple interdisciplinary areas connecting mathematics, computational science, and applied physics. Education: B.S. from Indian Institute of Technology (2003), Ph.D. from University of Pennsylvania (2008) Previous Position: Research Scientist at Courant Institute of Mathematical Sciences (NYU), 2008-2011 Teaching: Courses include Math 671, Math 371 (Numerical Methods for Engineers), and Math 156 (Applied Honors Calculus II) Professor Veerapaneni's research interests encompass scientific computing, fast algorithms, potential theory, complex fluids, microfluidics, soft-matter, and biomechanics. His core application areas include biomembrane mechanics, blood flow modeling, cilia-driven flows, and microfluidic-chip design. More recently, he has expanded his research to include scalable solvers and machine learning techniques for autonomous vehicle mobility in off-road settings. His work demonstrates a strong emphasis on developing high-order accurate numerical methods with practical applications in biomedical engineering and fluid dynamics. His publications reveal a consistent focus on boundary integral methods, Stokes flow simulations, and optimization problems in complex geometries. The research shows progression from fundamental mathematical methods to increasingly complex applications in biophysics and engineering. His work on vesicle dynamics, microswimmers, and particulate suspensions demonstrates expertise in computational fluid dynamics at microscales. NSF CAREER Award (2015) for project 'Fast Algorithms for Particulate Flows' Professor Veerapaneni has developed computational frameworks for simulating complex fluid-structure interactions, with applications ranging from biological systems (vesicles, cilia) to engineering problems (microfluidic chips, autonomous vehicles). His group has produced significant software contributions including visualization tools for fluid dynamics simulations, as evidenced by the animations of vesicle flows on his website. His collaborative work spans mathematics, engineering, and computer science departments, reflecting the interdisciplinary nature of his research.

• Power Engineering
• Computational Electromagnetics
• Finite Element Method
• +6 more

Shinji Wakao is a full Professor in the School of Advanced Science and Engineering, Waseda University, Japan, where he has served since 1993 and was Dean of the School from 2016 to 2020. Holding doctoral and master degrees in electrical engineering from Waseda, he leads a prolific research group specialising in computational electromagnetics and renewable-energy power systems. Education: Doctor of Engineering, Waseda University Master of Engineering, Waseda University Bachelor of Engineering (Electrical Engineering), Faculty of Science and Engineering, Waseda University Research Interests: His work integrates large-scale numerical electromagnetic field analysis—finite-element and infinite edge-element methods, level-set topology optimisation—with practical power-engineering challenges such as photovoltaic generation forecasting, smart-grid battery scheduling, zero-energy-house design, and electric-machine optimisation. Publication Trends: Recent articles emphasise deep-learning-enhanced PV forecasting (auto-encoders, CNNs, just-in-time modelling) and advanced topology-optimisation techniques (encoder-decoder networks, MMA-accelerated level-set methods) for magnetic shields and motors, reflecting a convergence of machine learning and energy-system science. Scientific Awards: IEEJ Academic Promotion Award (2008) IEEJ Distinguished Paper Award (2008) Committee & Society Roles: He serves on Japanese national committees including METI’s Power Safety Sub-committee and the Cabinet Office’s solar-energy evaluation panels, and is a board member of the Japan Solar Energy Society. Professional memberships include IEEE, IEEJ, JSCES and JSES. Laboratory & Projects: He heads the Wakao Laboratory within Waseda’s Department of Electrical Engineering, conducting projects on smart-grid PV management, magnetic-sensor optimisation for railway signalling, and net-zero-energy building renovation strategies.

• Fluid Engineering
• Computational Fluid Dynamics
• Isogeometric Analysis
• +2 more

Kenji Takizawa is a Professor at the Faculty of Science and Engineering, School of Creative Science and Engineering at Waseda University. He holds a PhD from Tokyo Institute of Technology (2005) and specializes in computational mechanics with a focus on fluid-structure interaction problems. His educational background includes: PhD in Energy Sciences from Tokyo Institute of Technology (2005) Master's degree in Energy Sciences from Tokyo Institute of Technology (2002) Bachelor's degree in Mechanо-Aerospace Engineering from Tokyo Institute of Technology (2001) Takizawa's research focuses on computational fluid dynamics, isogeometric analysis, and fluid-structure interaction. His work centers on developing advanced computational methods for complex engineering problems involving moving boundaries, contact mechanics, and turbulent flows. He has pioneered space-time variational multiscale (ST-VMS) methods that enable high-fidelity simulations of challenging problems such as heart valve flows, tire aerodynamics, and wind turbine wake dynamics. His recent publications reveal a strong focus on space-time computational methods with applications spanning aerospace engineering, biomedical devices, automotive systems, and renewable energy. The research demonstrates consistent innovation in handling complex geometries, moving boundaries, and multi-scale phenomena through integrated computational frameworks that combine isogeometric analysis with topology change capabilities. His significant scientific achievements have been recognized through numerous prestigious awards: 2022 APACM Computational Mechanics Award 2018 JSPS Prize Multiple Highly Cited Researcher designations (2016-2018) Thomas J.R. Hughes Young Investigator Award (2012) Computational Mechanics Achievement Award from JSME (2014) Takizawa has made substantial contributions to computational mechanics through his development of innovative numerical methods that address previously intractable problems involving moving boundaries and interfaces. His work bridges theoretical advancements with practical applications across multiple engineering disciplines.

• Integrable Systems
• Solitons
• Nonlinear Waves
• +6 more

Ken-ichi Maruno is a Professor at the Department of Applied Mathematics, School of Fundamental Science and Engineering, Waseda University , since 2017. His research focuses on integrable systems, solitons, and nonlinear wave phenomena, with applications to fluid mechanics and mathematical physics. He has held academic positions at the University of Texas–Pan American (2006–2014) and Kyushu University (2003–2006). He earned his Ph.D. from Kyushu University . Education: Ph.D. in Mathematics (Kyushu University) Research Interests: Integrable systems, solitons, nonlinear waves, discrete integrable systems, water waves, fluid mechanics, mathematical physics, numerical computations His work emphasizes integrable discretizations, delay soliton equations, and self-adaptive moving mesh schemes. He has published extensively on soliton interactions in the Davey-Stewartson, Yajima-Oikawa, and Toda systems. His recent articles explore delay Lotka–Volterra equations, rogue waves in long wave–short wave systems, and geometric formulations of vortex filaments. Collaborative projects include research on multi-component short pulse equations and discrete SIR models. Maruno’s research projects, funded by the Japan Society for the Promotion of Science, focus on mathematical models for ocean waves and integrable system-based numerical methods. He has contributed to international conferences and workshops on nonlinear phenomena, integrable systems, and discrete differential geometry. Professional Roles: Committee member and editor for the Japan Society for Industrial and Applied Mathematics; member of the Japan Society of Fluid Mechanics and The Physical Society of Japan. Teaching: Offers courses on ordinary differential equations, numerical analysis, and soliton mathematics at Waseda University.

Ricardo CamareroView profile

Associate Professor

• Geometric modeling
• Combustion and reactive flows
• Fluids (numerical simulation of flows)
• +4 more

Ricardo Camarero is an Associate Professor in the Department of Mechanical Engineering at Polytechnique Montréal. With a B.Eng., M.Eng., and Ph.D. from McGill University, he has established himself as a leading researcher in computational fluid dynamics and numerical methods for mechanical engineering applications. His research interests span geometric modeling, combustion and reactive flows, numerical simulation of fluid flows, aerodynamics using numerical methods, and turbomachinery design. Professor Camarero's work primarily focuses on developing and applying advanced computational techniques to solve complex engineering problems, particularly in the areas of fluid-structure interaction, high-voltage circuit breaker design, and turbomachinery flow analysis. With 166 publications spanning several decades, his research output demonstrates consistent contributions to the field of computational fluid dynamics. His recent work (2021-2024) shows continued activity in immersed boundary methods, mesh generation techniques, and applications to electrical engineering problems, indicating an active and productive research program. Professor Camarero has supervised 20 PhD students and 15 Master's students, reflecting his significant contribution to graduate education. His teaching responsibilities include courses in numerical methods and fluid mechanics, directly supporting his research areas. His research has strong practical applications, particularly in the electrical engineering sector where his work on circuit breaker design, arc extinction, and alternative insulating gases provides valuable insights for industry. The interdisciplinary nature of his work bridges mechanical engineering, electrical engineering, and computational mathematics.

Jannis TeunissenView profile

Researcher

• Computational Plasma Physics
• Electric Discharge Simulation
• Scientific Computing
• +2 more

Jannis Teunissen is a researcher in the Multiscale Dynamics group at Centrum Wiskunde & Informatica (CWI), the Dutch national center for mathematics and computer science. He also serves as a visiting lecturer at the Centre for mathematical Plasma Astrophysics at KU Leuven. Education: BSc in Physics & Astronomy and Master in Computational Science from University of Amsterdam PhD in computational plasma physics at CWI (obtained "cum laude") Postdoctoral research at KU Leuven's Centre for mathematical Plasma Astrophysics Dr. Teunissen's research focuses on computational plasma physics, particularly on simulating electric discharges. His work bridges theoretical modeling, computational methods, and experimental validation. He develops advanced computational techniques for studying streamer discharges, which are fast-moving ionized channels that form the first stage of sparks. These phenomena have important applications in environmental technology, high-voltage engineering, and atmospheric science. His research employs a range of computational methods including adaptive mesh refinement (AMR), plasma fluid modeling, particle-in-cell simulations, geometric multigrid solvers, and high-performance computing techniques. More recently, he has been applying machine learning methods to space weather research. Analysis of his publication history shows a strong focus on streamer discharge phenomena across different gas mixtures, with emphasis on macroscopic parameterization, electric field measurements, and radio emission calculations. Hershkowitz Early Career Award and Review (2024) from Plasma Sources Science and Technology Early Career Scientist Prize on Plasma Physics (2023) from IUPAP Student Award of Excellence of the Gaseous Electronics Conference (2015) PhD obtained "cum laude" (2015) Dr. Teunissen has been actively involved in several research projects including "Reliable nExt GENERation Actuation sysTEms (REGENERATE)" and "Plasma for Plants: Towards controlled and efficient plasma-activated water generation for a cleaner environment." His work has resulted in numerous publications focusing on streamer discharges in various gas mixtures, their radio emissions, electric field measurements, and computational modeling approaches. His research has significant implications for understanding natural phenomena like lightning and developing more environmentally friendly alternatives to traditional insulating gases used in high-voltage technology.