Find Academic Supervisors

Torbjørn CunisView profile

Assistant Professor

• Nonlinear Systems Theory
• Mathematical Optimization
• Optimization-Based Control
• +3 more

Torbjørn Cunis is a Temporary Academic Councillor / Group Leader at the Institute of Flight Mechanics and Flight Control of the University of Stuttgart. He concurrently serves as an Adjunct Assistant Research Scientist at the University of Michigan and is a member of the Young ZiF at Bielefeld University's Center for Interdisciplinary Research. His expertise lies in nonlinear systems theory, mathematical optimization, and aerospace engineering applications. Education : B.Sc. Computer Science (2013) & Aerospace Computer Engineering (2014), University of Würzburg M.Sc. Automation Engineering (2016), RWTH Aachen University Ph.D. in Systems & Control (2019), ISAE-Supaéro, Toulouse Research Interests focus on optimization-based control strategies, nonlinear system analysis, and their application to aerospace systems. Key areas include upset recovery in aircraft, model-predictive control, and sum-of-squares optimization techniques. His work bridges theoretical systems theory with practical implementations in unmanned aerial systems and flight dynamics. Teaching includes courses on multi-variable control, nonlinear optimization, and systems-theoretical methods for flight control. Professional Affiliations include AIAA, IEEE, and VDI. Research Contributions span over 50 publications, with recent trends emphasizing real-time control algorithms, stability analysis of optimization methods, and cooperative target allocation in aerospace systems. His work often integrates multidisciplinary approaches to solve complex control challenges in aviation and robotics. Lab Affiliations include the Vehicle Optimization Lab (University of Michigan), Automation & Control Group (Aalborg University), and Micro Air Vehicle Lab (Delft University of Technology).

• Materials Science
• Tribology
• Welding Engineering
• +3 more

Serhiy Mykolayovych Popov is a Professor at the Department of Physical Materials Science within the Engineering-Physical Faculty at Zaporizhzhia Polytechnic National University. With over 140 scientific works including 4 patents, 11 certificates, 3 monographs, and 4 educational manuals, he specializes in wear-resistant welded alloy coatings, tribosystem optimization, and social philosophy. Doctor of Philosophy (Social Philosophy, 2012, National Pedagogical University named after M.P. Dragomanov) Candidate of Sciences (Materials Science, 1991, Kharkiv Automobile and Road Institute) Mechanical Engineer (Zaporizhzhia Machine-Building Institute named after V.Ya. Chubar, 1985) His research focuses on multifactor tribosystems , combining systems approach with mathematical optimization of chemical, structural, and mechanical properties of materials. Recent works include abrasive wear analysis of high-chromium cast irons, electroslag process efficiency improvements, and mathematical modeling of welded deposit layers. Scientific recognitions include the USSR Inventor Medal and 'Distinguished Educator of Ukraine' honor. He supervises student research and has received multiple certificates from Ukrainian Ministry of Education for his mentoring excellence.

WATANABE TakeshiView profile

Professor

• Fluid Engineering
• Atmospheric Sciences
• Mathematical Physics
• +4 more

Professor Takeshi Watanabe serves in the Department of Applied Physics at Nagoya Institute of Technology's Graduate School of Engineering. Specializing in fluid dynamics and turbulence theory, his research bridges fundamental physics with atmospheric and industrial applications. Education: Doctor of Science (2000.03, Kyushu University) Master of Science (1997.03, Kyushu University) Bachelor's Degree (1995.03, Tokyo University of Science, Faculty of Science, Department of Applied Physics) Watanabe's research focuses on turbulent flows , particularly particle-laden turbulence, cloud microphysics, and passive scalar transport. His work employs advanced computational techniques including direct numerical simulation (DNS) to investigate phenomena like energy dissipation statistics, vortex dynamics, and polymer scission in turbulent environments. Key contributions include modeling turbulence modulation by particles and supersaturation spectra in cloud systems. His publication record demonstrates consistent high-impact contributions to fluid mechanics, with recent articles in Physical Review Fluids and Journal of Fluid Mechanics addressing fundamental turbulence characteristics across diverse applications from atmospheric science to industrial fluid systems. Awards: Fellow Member Certification (Japan Society of Fluid Mechanics, 2023) HPCI Outstanding Research Achievement Award (RIST, 2021) Japan Fluid Mechanics Society Central Chapter Outstanding Presentation Award (2004) As Principal Investigator for multiple competitive grants including JSPS Kakenhi projects (totaling over ¥48 million), Watanabe leads collaborative research on cloud turbulence and particle-fluid interactions. His advisory role extends to high school outreach programs at Nagoya Institute of Technology, demonstrating commitment to science education. Watanabe actively contributes to academic governance as理事 (Board Member) of the Japan Society of Fluid Mechanics and strategic committee member at the National Institute for Fusion Science, where his expertise in turbulence informs plasma simulation research.

JennyView profile

Professor

• Turbulent Combustion Modeling
• Computational Fluid Dynamics
• Rarefied Gas Kinetics
• +4 more

Professor Jenny leads the Jenny Research Group at ETH Zürich, specializing in turbulent reactive flows, rarefied gas kinetics, and biomedical fluid dynamics. Her work bridges fundamental research with industrial applications in energy systems and fluid mechanics. Develops advanced turbulence models (TDDM, hybrid LES/RANS) for multi-scale flows Pioneers data assimilation frameworks for RANS simulations using adjoint methods Advances particle-based stochastic algorithms for fractured porous media transport Her recent publications emphasize adaptive time integration techniques, probabilistic modeling of non-linear transport phenomena, and optimized simulation tools for hydrogen storage systems. The group's methodological innovations focus on reducing computational costs while maintaining physical accuracy through novel regularization strategies. Key applications include combustion device optimization, high-pressure tank filling analysis, and fractured reservoir simulations. Current projects integrate machine learning with traditional CFD methods to address challenges in droplet clustering, flame surface density propagation, and supersonic spray dynamics. The research framework spans from direct numerical simulations of fundamental flow physics to industrial-scale hybrid modeling implementations.

Thomas WoolleyView profile

Associate Professor

• Mathematical biology
• Morphogenesis
• Reaction-diffusion theory
• +7 more

Dr Thomas Woolley is a Reader in Applied Mathematics at Cardiff University's School of Mathematics, where he leads research in mathematical biology with a focus on pattern formation and cellular dynamics. His academic journey began at the University of Oxford (2004-2017), where he specialized in mathematical biology, completing doctoral research on the pattern formation behind fish spots and zebra stripes. At Cardiff, he maintains an active research program while supervising PhD students and engaging in significant mathematical outreach. Dr Woolley's research interests center on mathematical biology, particularly morphogenesis, reaction-diffusion theory, cellular motion, stochastic dynamics, and neurobiology. His current work investigates muscle stem cell protrusions known as blebs that enable cells to navigate toward damaged muscle tissue for healing and regeneration. He develops analytical links between discrete cellular protrusions and continuous population distributions, with the goal of algebraically coupling observable cellular motion to unobservable structural features of the cell membrane. His research also explores Turing-type pattern formation across biological systems, from feather development to fingerprint variation. His recent publications demonstrate consistent output across high-impact journals, with work spanning theoretical mathematical biology, medical applications, and public health modeling. Notable recent projects include modeling indoor airborne transmission during the pandemic, analyzing bat movement patterns, and investigating pattern formation in biological systems. His research shows strong interdisciplinary connections between mathematics, biology, and medicine. Poster prize at international biology conference Dr Woolley actively supervises doctoral students and research assistants, with a track record of successful PhD completions. His supervision approach emphasizes connecting mathematical theory with biological applications, often through collaborations with experimentalists. He has developed several interactive web applications to implement research findings, including tools for predicting Covid-19 transmission and optimizing public transport seating during the pandemic. His work on stem cell motion and pattern formation continues to advance our understanding of fundamental biological processes with potential therapeutic applications.