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.
Prof. Amir Boag is a Professor in the Physical Electronics Department of the School of Electrical Engineering at Tel Aviv University. He received his B.Sc. and B.A. degrees Summa Cum Laude in 1983, M.Sc. in 1985, and Ph.D. in 1991, all from the Technion - Israel Institute of Technology. His academic journey includes faculty positions at the Technion (1991-1992), a Visiting Assistant Professorship at the University of Illinois at Urbana-Champaign (1992-1994), and industry experience at Israel Aircraft Industries (1994-1999) before joining Tel Aviv University in 1999. Prof. Boag's research focuses on computational electromagnetics and acoustics, specializing in numerically efficient algorithms, beam representations of fields, radar imaging techniques including Synthetic Aperture Radar, quantum-electromagnetic simulations, and antenna/nano-antenna design. His work bridges theoretical developments with practical applications in electromagnetic and acoustic systems. His research group comprises over ten graduate students working on cutting-edge problems in wave physics. Prof. Boag has published more than 130 journal articles and presented over 300 conference papers. He has been instrumental in organizing the Tel Aviv University Antenna Symposium and Underwater Acoustics Symposium, with the 13th Underwater Acoustics Symposium scheduled for October 23, 2025. IEEE Fellow (2008) for contributions to integral equation based analysis, design, and imaging techniques Fellow of the Electromagnetics Academy Former Associate Editor for IEEE Transactions on Antennas and Propagation Holder of approximately ten patents in electromagnetics and antenna design Prof. Boag's research demonstrates strong continuity in developing efficient numerical methods for electromagnetic and acoustic problems, with increasing focus on quantum-electromagnetic interactions and nano-scale applications in recent years. His work maintains strong connections between fundamental theory and practical engineering applications, particularly in radar and imaging systems.
Mehmet Saadeddin Öztürk is a part-time Assistant Professor at Bogazici University, specializing in biomedical optics, computational imaging, and diagnostic technology development. His research integrates optical imaging, microfluidics, and AI for label-free cancer diagnostics and veterinary applications. He teaches graduate courses in biomedical optics and medical imaging with a translational engineering focus. Education Ph.D. in Biomedical Engineering, Rensselaer Polytechnic Institute (2013-2016) M.Sc. in Manufacturing Engineering, Boston University (2008-2010) B.Sc. in Electronics Engineering, Kadir Has University (2002-2006) Research Focus Dr. Öztürk's work spans four key areas: Biomedical Optics : Development of imaging/diagnostic devices Computational Imaging : Light modeling for scattering environments Biomedical Instrumentation : Hardware/software integration Preclinical/Veterinary Imaging : Small animal studies and gait analysis Publications Overview His 15 most recent publications demonstrate consistent focus on optical tomography innovations, with evolving applications in cancer diagnostics (breast cancer, glioblastoma), veterinary science (feline neuroanatomy), and thermogenetic control systems. Recent works show increased integration of AI and multimodal platforms. Awards and Honors Marie Curie Co-Fund Post-Doctoral Fellowship (EMBL, 2017-2020) Best Doctoral Thesis Award (RPI, 2016) Multiple international travel grants (ESOF 2024, WMIC 2016) Full scholarships for B.Sc. and M.Sc. degrees Professional Activities He serves as project referee for TÜBİTAK and TUSEB funding panels, reviews for leading journals including Science Advances and Nature Communications Biology , and participates in TEKNOFEST technology competitions. Current research includes developing a preclinical multimodal imaging platform for drug monitoring.
Mehmet Alper holds the following academic positions: Visiting Professor at Beibu Gulf University (BGU) Former Assistant Professor in Internet of Things at EMU-Beibu Gulf Joint College (July 2024 – July 2025) Former Postdoctoral Engineer in Cybersecurity at Eastern Michigan University (July 2023 – July 2024) Former R&D Engineer at Warren Tech Center, Detroit (July 2022 – July 2023) His educational background includes: PhD in Electrical & Computer Engineering, Michigan State University, East Lansing, MI, 2022 Alper's research integrates Internet of Things, Cybersecurity, and Biomedical Engineering through advanced signal processing and computer vision techniques. His work on tremor detection systems and pose estimation algorithms demonstrates practical applications in neurological disorder assessment, while his materials science research on nanocomposite diodes bridges electronic hardware development. This interdisciplinary approach uniquely connects hardware engineering with medical diagnostics. Analysis of his 2017-2020 publications reveals a consistent focus on biomedical signal processing—particularly tremor quantification via optical flow fusion—and electromagnetic methods for subsurface imaging. The trajectory shifts from materials-focused diode research (2018) toward AI-driven motion analysis (2020), indicating evolving expertise from hardware characterization to real-time biomedical software solutions with applications in remote healthcare monitoring.
Professor Oleg Davydov holds a Professorship for Numerical Analysis at the Department of Mathematics, University of Giessen, Germany. His research focuses on developing advanced numerical methods with strong theoretical foundations and practical applications. He maintains an active research program with numerous recent publications and international collaborations. Position: Professor of Numerical Analysis Institution: University of Giessen, Department of Mathematics Contact: Heinrich-Buff-Ring 44, 35392 Giessen, HRZ Room 117 Email: oleg.davydov@math.uni-giessen.de Homepage: https://oleg-davydov.de/ Professor Davydov's research interests center around meshless numerical methods, approximation theory, and computational mathematics. His primary focus areas include: Meshless Finite Difference Method - Developing robust meshless techniques that avoid the need for structured grids Finite Element Method - Particularly Bernstein-Bézier finite elements and specialized approaches for complex geometries Scattered Data Fitting - Creating efficient algorithms for approximating data on irregular domains Approximation Theory - Investigating theoretical properties of splines, radial basis functions, and other approximation tools His research has resulted in several software packages including mFDlab (Meshless Finite Difference Method), BBFEM (Bernstein-Bézier Finite Elements), and TSFIT (Two-Stage Scattered Data Fitting), demonstrating the practical implementation of his theoretical work. Analysis of Professor Davydov's recent publications shows a consistent focus on improving meshless methods, particularly in stencil selection, error analysis, and applications to complex problems. His work spans both theoretical developments (like error bounds and optimal approximation orders) and practical implementations (for fluid dynamics, manifold learning, and interface problems). A notable trend is the increasing sophistication of adaptive techniques and the handling of challenging geometries. Professor Davydov has supervised several doctoral students to completion, including: Gaelle Andriamaro Fabien Rabarison Abid Saeed Wee Ping Yeo His research group appears to maintain active collaborations with institutions worldwide, as evidenced by his extensive co-authorship network. The group focuses on developing both theoretical foundations and practical implementations of numerical methods, with particular attention to problems involving irregular domains, singularities, and complex geometries. Students in his group would gain experience in both theoretical analysis and software development for numerical methods.
Professor Gianluca Memoli is an Associate Professor in Sound-Based Interactions within the Department of Informatics at the University of Sussex's School of Engineering and Informatics. He also serves as Impact Leader for Informatics since June 2023. His academic profile bridges fundamental acoustics research with practical applications and commercialization. Memoli's research focuses on acoustic metamaterials and sound-based interactions, exploring how techniques previously used only for light can be applied to sound. His work spans from fundamental physics of bubbles and cavitation to advanced applications in healthcare, environmental monitoring, and human-computer interaction. He approaches acoustics through an interdisciplinary lens, connecting physics, engineering, materials science, and perception studies. His recent publications (2022-2025) demonstrate consistent output in high-impact acoustics journals, with a clear trajectory toward practical applications of acoustic metamaterials. Key themes include acoustic lens design, sound field manipulation, and the development of tools for virtual acoustic assessment. His work shows increasing emphasis on addressing real-world challenges in environmental noise and healthcare applications. Memoli has secured significant research funding from diverse sources including EPSRC, NERC, Royal Society, and European Union programs. His current major project 'Visualising the Perception of Aircraft Noise for Communities Surrounding Airports' (2023-2027) exemplifies his focus on applying advanced acoustic research to societal challenges. As an educator, Memoli teaches 'Professional Skills' and 'Entrepreneurship' courses, reflecting his dual expertise in technical acoustics and commercialization. His role as CEO of Metasonixx since 2019 demonstrates his commitment to translating academic research into real-world applications, creating a unique bridge between his academic and entrepreneurial pursuits.
Mathieu Ducousso is a part-time Professor ( Professeur des Universités ) at Arts et Métiers Institute of Technology since September 2022, holding a dual position as a researcher and 'Sensors and instrumentation' expert at Safran Tech (Safran group research center in Paris Saclay). He is a member of the DISCOH research team at the PIMM laboratory (Laboratoire Procédés et Ingénierie en Mécanique et Matériaux). His unique position bridges academic research with industrial applications in non-destructive testing. Dr. Ducousso's research focuses on acoustic wave propagation and its applications for material characterization, with two main axes: Material and structure characterization using elastic waves generated by laser or multi-elements for both short-term industrial crisis resolution and long-term research Acoustic studies around laser-generated shock waves to reveal exotic behaviors like von Neumann reflection, with fundamental research applications His work combines experimental approaches with numerical simulations and increasingly incorporates artificial intelligence techniques. Applications primarily target industrial sectors, especially aerospace, with materials ranging from metals to composites. His publication record spans from 2008 to present, with recent work (2020-2023) showing a strong focus on laser ultrasonics for adhesive bonding evaluation, shock wave propagation in materials, and advanced imaging techniques. The research demonstrates increasing sophistication in both experimental methods and analytical approaches, with growing emphasis on quantitative evaluation of material properties and structural integrity. Dr. Ducousso has been actively involved in numerous research projects, including the FUI Monarque project (2018-2021) which he led with a budget of 4M€ and 9 industrial partners. He has co-supervised three PhD students and several research interns, demonstrating his commitment to training the next generation of researchers. His work has resulted in multiple international patents related to non-destructive testing methods. His laboratory work centers around the DISCOH research team at PIMM, where he develops and applies advanced ultrasonic and laser-based techniques for non-destructive evaluation. The research environment combines academic rigor with direct industrial relevance, providing students and collaborators with opportunities to work on real-world problems with immediate practical applications in aerospace and other advanced manufacturing sectors.
Loukas F. Kallivokas is a Professor and holder of the Brunswick-Abernathy Regents Professorship in Soil Dynamics and Geotechnical Engineering at The University of Texas at Austin. He serves as Associate Chair of Civil Engineering and is affiliated with multiple research units including the Oden Institute for Computational Engineering and Sciences, Texas Acoustics, and the Texas Consortium for Computational Seismology (TCCS). His educational background includes a Diploma in Civil Engineering from the National Technical University of Athens, and MS (1990) and PhD (1995) degrees in Civil Engineering/Computational Mechanics from Carnegie Mellon University. Prior to joining UT Austin in 1999 as an assistant professor, he held postdoctoral and visiting positions at Carnegie Mellon University, including an NSF CISE postdoctoral fellowship. Professor Kallivokas's research spans computational mechanics with emphasis on wave mechanics and inverse problems. His work focuses on metamaterials design, subsurface imaging, seismic motion modeling, soil-structure interaction, and non-destructive condition assessment. He has made significant contributions to inverse medium problems, inverse scattering, and inverse source problems for wave-driven applications. His research has practical applications in earthquake engineering, geotechnical site characterization, and enhanced oil recovery through wave-based techniques. His recent publications demonstrate consistent output in top journals, with research trends showing increasing focus on metamaterial design, advanced wave focusing techniques, and sophisticated inverse problem solutions for subsurface characterization. The work often involves collaboration with postdocs and students, particularly Heedong Goh who appears as co-author on many recent papers. Allen Newell Medal (1998) for research excellence in large-scale modeling of seismic motion National Science Foundation CAREER award (2003) for research in subsurface imaging Fellow of the Engineering Mechanics Institute (F. EMI) Professional Engineer (PE) license Professor Kallivokas has advised numerous PhD and MS students who have gone on to successful careers in academia and industry, including positions at Seoul National University, Vanderbilt University, ExxonMobil, and major engineering firms. His research has been supported by significant grants including the NSF CAREER award and other NSF funding. He serves as Associate Editor for ASCE's Journal of Engineering Mechanics and previously chaired the Computational Mechanics Committee of ASCE's Engineering Mechanics Institute (2008-2011). His research group operates within the Mechanics, Uncertainty, and Simulation in Engineering (MUSE) laboratory facilities at UT Austin, specifically in ECJ 4.602. The group focuses on computational modeling of wave phenomena and inverse problems, with current projects spanning metamaterial design, subsurface imaging, and coupled-physics imaging approaches.
