Fayssal Benkhaldoun is a Professor at Université Paris 13, affiliated with the LAGA laboratory (UMR7539). He has held leadership roles including former Head of the MCS team (Modeling and Scientific Computing) at LAGA and former President of the Scientific Council at IUT Villetaneuse. He is also the Project Leader of the International Office at IUT Villetaneuse. His research focuses on numerical methods for partial differential equations, particularly finite volume schemes for hyperbolic and elliptic problems. Key areas include shallow water equations, flow in porous media, mesh adaptation, and combustion front propagation. He has organized major conferences such as the International Symposium on Finite Volumes for Complex Applications (FVCA), initiating its first edition in 1996. Recent work emphasizes advanced numerical techniques like stabilized meshless methods, GPU acceleration, and parallel computing for CFD applications. His contributions span environmental modeling (flood simulation, sediment transport) and industrial applications (phosphate slurry rheology). Students advised include Jan Karel (2014, streamer propagation) and Saida Sari (2013, multilayer shallow water equations). He co-organized conferences since 1996 and has been an invited speaker at numerous institutions globally.
Diego Gino is a Fixed-term Assistant Professor in the Department of Structural, Geotechnical and Building Engineering (DISEG) at Politecnico di Torino, Italy, affiliated with the College of Civil and Building Engineering. He holds a scientific disciplinary focus in Structural Analysis and Design (CEAR-07/A) within the broader area of Civil Engineering and Architecture. His research centers on the safety and reliability assessment of reinforced and prestressed concrete structures, particularly through nonlinear finite element analysis. Key areas include seismic reliability of friction-isolated structures, strain-based safety factor estimation, and experimental evaluation of aged concrete infrastructure. His work bridges theoretical research and practical application in structural engineering. Diego Gino teaches several courses including Nonlinear Finite Element Analysis for the Safety Assessment of Reinforced Concrete Structures (as course owner), Seismic Reliability and Robustness of Friction-Isolated Structures , and Design and Construction of Bridges . He has been consistently involved in teaching Structural Design and bridge-related courses since 2019, serving as lecturer and collaborator across Civil and Building Engineering programs. He also contributes to industry-linked educational initiatives such as Challenge@PoliTo. His recent publications, primarily in journals like Engineering Structures and Structural Concrete , focus on strain-based safety assessment methods, reliability evaluation using nonlinear models, and experimental studies on long-serving prestressed concrete bridge elements. These works reflect a strong trend toward practical safety evaluation of aging infrastructure using advanced computational and experimental techniques. Scientific Awards: No scientific awards mentioned in the provided text. Diego Gino supervises PhD student Gabriele Neri in the Civil and Environmental Engineering program (40th cycle, 2024–ongoing), indicating an active role in research mentorship. He is involved in a commercial research project (2025–2027) titled Collaboration to provide students with practical evidence of what is offered in the courses taught , which involves service provision and industry collaboration, enhancing educational outcomes through real-world applications. Laboratories and Research Groups: Member of a Research Group focused on commercial service provision in structural engineering education and practice. Active in research related to nonlinear numerical analysis (NLNA) and experimental structural assessment.
Professor Joaquim de Ciurana Gay is a faculty member at the University of Girona in the Department of Mechanical and Industrial Construction Engineering , leading research in Manufacturing Process Engineering since 2009. He heads the Process, Product and Production Engineering Research Group (GREP) , with over 100 peer-reviewed articles and 12 book chapters focusing on biomedical device design, additive manufacturing, and machining optimization. Education: PhD in Industrial Engineering (UPC, 1997); Postdoctoral training at Rutgers University, Cranfield University, and Université du Québec à Trois-Rivières. Research Interests include additive manufacturing , machining process characterization , design methodologies , and industrial collaboration . His recent biomedical projects emphasize cell culture systems and medical device prototyping . Publications highlight trends in hybrid manufacturing , AI-driven process optimization , and sustainable biomedical design . Scientific Awards: Award for Scientific Collaboration with Companies (ASCAMM Centre Tecnològic, 2011) Teaching Innovation: Authored educational materials and led projects integrating industry partnerships into academic training. Labs & Teams: Director of GREP, fostering knowledge transfer through collaboration agreements with industrial partners.
Ngoc Tien Tran is a Junior Professor for Numerical Simulation at the Institute of Mathematics, Faculty of Mathematics, Natural Sciences and Technology, University of Augsburg since 2023. Previously, he was a Research Associate at Friedrich Schiller University Jena (2021-2023) and Humboldt University of Berlin (2018-2021). Dr. Tran's educational background includes: Doctorate in Mathematics, Humboldt University of Berlin (2021) Master of Mathematics, Humboldt University of Berlin (2018) Bachelor of Mathematics, Humboldt University of Berlin (2016) Dr. Tran's research focuses on advanced numerical methods for complex mathematical problems. His primary areas of interest include numerical methods for completely non-linear second-order PDEs , the convergence behavior of adaptive methods , nonstandard discretizations and hybridizable methods , and convex minimization and eigenvalue problems . His work bridges theoretical mathematics with practical computational techniques, developing innovative approaches to solve challenging problems in numerical analysis. Dr. Tran's publication record demonstrates a consistent focus on hybrid high-order methods and their applications to various mathematical problems. His recent work shows a progression from foundational methods to specialized applications in areas like the Monge-Ampère equation, eigenvalue problems, and convex minimization. A notable trend is his emphasis on guaranteed error control and stability analysis, reflecting a commitment to robust and reliable numerical methods. Dr. Tran is involved in research supported by the ERC Consolidator Grant and participates in the GAMM Workshop on Numerical Analysis and the One World Numerical Analysis Seminar. As a Junior Professor at the University of Augsburg, Dr. Tran advises students and contributes to the Numerical Mathematics research team. His teaching includes courses such as 'Finite elements in the calculus of variations' and a 'Seminar on Numerics' for Summer semester 2025. He is part of a vibrant research community that includes colleagues like Daniel Peterseim and Tatjana Stykel, as well as numerous research associates.
Enrico Galvagno is an Associate Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) of the Polytechnic University of Turin. He is a member of the CARS@PoliTO Interdepartmental Center for Automotive Research and Sustainable Mobility. His academic roles include teaching and supervising courses on Mechanical System Dynamics , Hybrid and Electric Propulsion Systems , and Motor Vehicle Mechanics , as well as serving on doctoral college committees for Mechanical Engineering since 2019. His research interests span Applied Mechanics , Vehicle Dynamics , Hybrid and Electric Vehicles , and Noise, Vibration, and Harshness (NVH) . He focuses on Mathematical Modeling , Control Optimization , and Experimental Mechanics in automotive systems. Recent projects include the OWHEEL benchmarking initiative, EFFEREST for energy management in electric vehicles, and CliMAFlux for axial flux motor drives. Galvagno's scholarly work includes collaborative research on electric powertrain vibro-acoustics , off-road tire modeling , and tracked vehicle simulations . His 2024 publications highlight advancements in nonlinear vehicle dynamics , e-NVH performance , and model order reduction techniques. Scientific Awards and Memberships : Effective member of IFToMM Italy (2019-) Scientific Committee member of IFToMM Technical Committee for Engines and Powertrains (2019-) Effective member of SAE International (2010-) He supervises PhD students Luca Biondo , Luca Ciravegna , and Luca Zerbato , and has led commercial research contracts like Off-Road Tyre Model Integration and Tracked Vehicle Kinematic Modeling for industrial clients.
Aurelio Soma is a Full Professor in the Department of Mechanical and Aerospace Engineering (DIMEAS) at the Polytechnic University of Turin, where he has served as a faculty member since at least the early 2000s. His academic career spans over two decades, with continuous involvement in teaching Mechanical Engineering doctoral programs since the 19th cycle (2003/2004). He teaches courses including Machine Construction and Product and Process Design with Numerical Methods. Professor Soma's research spans several critical areas of mechanical engineering with a strong focus on sustainable technologies. His primary research interests include Battery Electric Vehicles, Hybrid Electric Vehicles, Internet of Things (IoT) applications, MEMS technology, Railway Vehicles, and Working Vehicles. His work aligns with Sustainable Development Goals 9 (Industry, Innovation, and Infrastructure), 11 (Sustainable cities and communities), and 13 (Climate action), demonstrating his commitment to environmentally conscious engineering solutions. His research bridges theoretical mechanical design with practical industrial applications, particularly in energy harvesting and sustainable vehicle technologies. The analysis of his recent publications reveals a strong trend toward sustainable transportation systems, with particular emphasis on lithium-ion battery technology, energy harvesting for railway diagnostics, and electrification of agricultural machinery. His work consistently combines mechanical engineering principles with cutting-edge sustainable technologies, focusing on practical implementations that address real-world challenges in transportation and industrial systems. The interdisciplinary nature of his research spans mechanical engineering, materials science, electrical engineering, and environmental science. Professor Soma actively supervises PhD students, currently guiding nine doctoral candidates across multiple cycles of the Mechanical Engineering program. His research is supported by numerous competitive funding sources including PNRR Mission 4 (AGRITECH Spoke 6), national research projects, regional innovation centers, and commercial contracts. He has served as Scientific Manager for over 20 research projects spanning from 2006 to 2027, demonstrating sustained research productivity and leadership. His research group focuses on the Design and Experimentation of Industrial and Railway Systems and Microsystems (DIMEAS), developing innovative solutions for energy harvesting, vehicle diagnostics, and sustainable machinery. Professor Soma's work has resulted in numerous patents related to hybrid working vehicles, railway diagnostics systems, energy harvesters, and lithium battery applications, translating academic research into practical industrial solutions.
Associate Professor Phil Clausen is a computational biomechanics and wind energy expert at the School of Engineering, University of Newcastle . His career spans two major research themes: small wind turbine dynamics and fatigue testing and computational biomechanics of biological structures using finite element analysis (FEA). He has led the development of accelerated fatigue test programs for turbine blades and reverse-engineered iconic fossils like Smilodon fatalis and the Tasmanian Tiger to understand biomechanical evolution. Education: PhD and BEng (Hons) from University of Newcastle Research Expertise focuses on: Small wind turbine blade design, fatigue life prediction, and performance optimization Computational biomechanics of crocodiles, komodo dragons, and extinct species Publications (65+ journal articles) cover wind energy systems (2000–2020) and biomechanics (2005–2021), with high-impact work featured in Nature , PLoS ONE , and Royal Society B . Notable findings include debunking assumptions about sabre-toothed cat bite force and quantifying dingo vs. thylacine predatory mechanics. Grants ($1.06M+ total) include ARC Discovery Projects, industry partnerships with Aerogenesis Australia and TUNRA , and commercialization of diffuser-augmented turbine technology. He has supervised numerous research students and collaborated with interdisciplinary teams across engineering, biology, and paleontology.
Murat HAMDERİ is a Professor in the Department of Civil Engineering at the Turkish-German University's Faculty of Engineering, where he has served since 2015 as the department's founding faculty member. He progressed from Assistant Professor (2015) to Associate Professor (2020) and full Professor (2024), establishing himself as a key figure in geotechnical engineering education and research in Türkiye. His educational background includes a Doctorate in Civil Engineering from Drexel University (2004-2010), Master's in Geotechnics from Bogazici University (1999-2002), and Bachelor's from Istanbul Technical University (1995-1999). HAMDERİ specializes in geotechnical engineering with research focusing on soil mechanics, foundation design, and earth structure analysis. His work emphasizes numerical modeling of soil behavior, particularly in sand mechanics, retaining wall systems, and pile foundations. He frequently develops analytical solutions for complex geotechnical problems encountered in nuclear power plant construction and seismic zones. His publication trends (2024-2012) reveal consistent innovation in geotechnical computational methods , with 15+ journal articles primarily addressing sand mechanics, earth pressure theory, and foundation settlement. Recent works integrate finite element analysis with practical design solutions, especially for nuclear infrastructure projects like Akkuyu Nuclear Power Plant. While no specific awards are documented, his research demonstrates sustained scholarly contribution through single-author publications and industry-academia collaboration. His career bridges practical engineering experience—including nuclear foundation design in the USA and consultancy for Dutch geotechnical firms—with academic rigor. His research activities involve advanced computational modeling of soil-structure interaction, with particular emphasis on seismic performance of reinforced earth structures and liquefaction mitigation techniques using colloidal silica injection.
Professor Stephen Langdon is a faculty member at Brunel University London , holding the position of Professor of Mathematics and serving as Associate PVC for Academic Planning & Strategic Projects . His academic career includes over 15 years at the University of Reading , where he was Head of the Department of Mathematics and Statistics for five years. He also served as Interim Executive Dean of the College of Engineering, Design and Physical Sciences at Brunel from 2022 to 2024. Education: PhD in Numerical Analysis, University of Bath (1999) BA in Mathematics, Oxford University (1994) Postgraduate Certificate of Academic Practice, University of Reading (2009) Research Interests: Professor Langdon's research is centered in Numerical Analysis , with a strong focus on the development, analysis, and implementation of numerical methods for partial differential equations . His work encompasses: Boundary integral and finite element methods High-frequency scattering problems in acoustics and electromagnetics Fluid flow in porous media Computational modeling of tumor growth Machine learning applications in numerical methods Publications Overview: His recent work includes modeling helicopter rotor-induced particle-fluid interactions , developing frequency-independent numerical methods for far-field scattering , and advancing high-frequency boundary element methods . These publications span journals such as AIAA Journal , Journal of Fluid Mechanics , SIAM Journal on Scientific Computing , and IMA Journal of Numerical Analysis . Teaching and Supervision: He teaches MA2690 - Professional Development and Project Work and actively supervises PhD students in areas aligned with his research interests. He welcomes prospective PhD applicants in numerical analysis, PDEs, and related computational fields. Contact: Email: stephen.langdon@brunel.ac.uk Phone: +44 (0)1895 266554 Office: Tower A 030, Brunel University London
Martien Hulsen is an Associate Professor at the Department of Mechanical Engineering , Eindhoven University of Technology (TU/e) . His research focuses on Computational Rheology , with applications in Polymer Processing , Microfluidics , and Additive Manufacturing (3D Printing) . Academic background: PhD in Mechanical Engineering (Delft University of Technology, 1988) Specializes in Numerical Methods for viscoelastic flow simulation Key applications: External Gear Pumps , Cell Sorting , and Micro-rheology Recent research trends: Interface Rheology , Particle Dynamics , and Thermal-Viscous Coupling His work has been published in top journals like Journal of Non-Newtonian Fluid Mechanics and Physics of Fluids . Martien serves on the editorial board of the Journal of Non-Newtonian Fluid Mechanics. Contact: m.a.hulsen@tue.nl
Ayhan Demircan is an Adjunct Professor at the Leibniz School of Optics and Photonics in Leibniz University Hannover. He leads the Micro and Nano Photonics task group and contributes to institutions including the Institute of Quantum Optics , Ultrafast Laser Laboratory , and Hannover Centre for Optical Technologies (HOT) . His work spans photonics, quantum optics, and nonlinear dynamics, with applications in terahertz technology, soliton physics, and optical modeling. Research Interests: Photonics, quantum optics, terahertz radiation, soliton dynamics, nanophotonics, and computational modeling of optical systems. Key Institutions: Leibniz School of Optics and Photonics, Institute of Quantum Optics, HOT, and PhoenixD Cluster of Excellence. Technical Expertise: Develops Python-based tools for nonlinear Schrödinger equations, optical parametric oscillators, and ultrafast laser systems. Contact: demircan@iqo.uni-hannover.de
Mischa Mühling is a Researcher at the University Institute of Biomechanics , focusing on biomechanical testing and computational modeling in orthopedic surgery. Their work bridges materials science and clinical biomechanics . Research Interests: Fracture morphology, osteosynthetic fixation, synthetic bone modeling, finite element analysis, and torsional load mechanics. Peer Review Activities: Regular reviewer for journals including Clinical Biomechanics , Scientific Reports , and Biomedical Engineering . Publication Trends : Recent work emphasizes synthetic bone analog development, fracture stability analysis, and load modeling using polyurethane-resin composites. Collaborative studies with Prof. Peter Augat highlight their focus on improving biomechanical testing standards.
Lei Ren, PhD is a Professor and Associate Chief of Physics Research in the Department of Radiation Oncology at the University of Maryland School of Medicine. Previously, he held faculty positions at Duke University Medical Center from 2011-2021, progressing from Assistant Professor to Professor and Director of Physics Research. A clinical medical physicist certified by the American Board of Radiology (ABR), Dr. Ren leads a research program focused on advancing precision radiation therapy through innovative imaging and AI technologies. Dr. Ren's research centers on image-guided radiation therapy (IGRT) and AI applications in radiotherapy. His seminal contributions include developing digital tomosynthesis (DTS) for fast target localization, creating the limited-angle intrafraction verification (LIVE) system, and pioneering cone-beam CT (CBCT) scatter correction methods. Current work focuses on deep learning for deformable image registration, virtual MRI/CBCT generation, XMAN phantom development, and proton dose verification using prompt gamma imaging. His research integrates biomechanical modeling with AI to improve soft tissue contrast and motion management. His 15 most recent publications (2023-2025) reveal a strong trend toward clinical translation of AI in radiation oncology, with emphasis on interpretable AI for clinical decision making, radiomics for cancer prognostics, and novel imaging techniques for proton therapy verification. Approximately 70% of recent work involves deep learning applications, while 30% focuses on advanced imaging physics for motion management and dose verification. Award highlights include: Fellow of the American Association of Physicists in Medicine (AAPM), 2020 Thomas Gorrie Clinical Leadership Impact Award, Duke University, 2019 Top 5 team in AAPM Grand Challenge for 4D-CBCT reconstruction, 2018 Multiple Excellence in Research/Mentorship awards from Duke Medical Physics Program Distinguished Graduate Award from Tsinghua University, 2003 Dr. Ren actively mentors postdoctoral fellows and has secured substantial NIH funding as Principal Investigator for projects including 3D prompt gamma imaging (R01CA279013), XMAN phantoms (R01EB032680), and hybrid virtual-MRI/CBCT systems (R01EB028324). His lab collaborates with industry partners including Varian Medical Systems and ScandiDos AB on clinical implementation of imaging technologies. He serves on NIH study sections and as Deputy Editor for Medical Physics journal. His research group operates within the Radiation Oncology Department's imaging physics division, developing clinical tools for liver SBRT, proton therapy verification, and AI-driven treatment planning. Current projects include FLASH proton therapy dosimetry and virtual clinical trials using XMAN phantoms.
Paolo Castellini is an Associate Professor at the Department of Industrial Engineering and Mathematical Sciences, Università Politecnica delle Marche (UNIVPM). His research focuses on mechanical measurements, vibration analysis, and advanced imaging techniques. He teaches courses in the College of Engineering and has published extensively on applications of hyperspectral imaging, 3D scanning, and neural networks in industrial and biomedical contexts. Office hours: Monday-Friday, 08:30-13:00 Email: p.castellini@univpm.it Location: via Brecce Bianche, 12, Ancona Recent research trends include vibration decoupling metastructures, microplastic detection in biological samples, and UAV-based photogrammetric analysis of olive trees. His publications emphasize non-destructive testing, acoustic beamforming, and uncertainty evaluation in measurement systems. Notable projects involve mmWave radar displacement analysis, cardiac simulators for prosthetic valves, and light-controlled polymer films for mechanical motion.
Dr. Öğr. Üyesi Bedi Cenk Balçık, Baskent University Faculty of Engineering, Department of Mechanical Engineering, Ankara, Turkey. He holds a PhD in Engineering Sciences (2002) from Middle East Technical University (METU), with MSc (1996) and BSc (1993) in Mechanical Engineering from the same institution. Doktora: Mühendislik Bilimleri, Orta Doğu Teknik Üniversitesi (2002) Yüksek Lisans: Mühendislik Bilimleri, Orta Doğu Teknik Üniversitesi (1996) Lisans: Makine Mühendisliği, Orta Doğu Teknik Üniversitesi (1993) His research focuses on Biomechanics , Biomedical Engineering , and Advanced Materials Analysis , particularly in orthopedic applications, implant material testing, and finite element modeling. He has contributed to studies on tendon healing, fracture fixation techniques, and biomaterials for bone repair. Recent publications highlight his work in biomechanical testing of surgical fixation methods (2024-2003), biomaterials research for dental and orthopedic applications (2018-2012), and finite element analysis in structural engineering (2006). His work spans animal models , clinical material testing , and computational simulation . Dr. Balçık teaches courses including Materials Science (MAK 205) , Finite Element Analysis (MAK 413) , and Computer-Aided Design (SAP 507/MAK 536) . His office is located in Room D311, Faculty of Engineering, with contact number +90 (312) 246 66 66 Ext. 4128.
