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Todd HoldenView profile

Adjunct Assistant Professor

• Japanese culture and society
• Semiotics
• Globalization
• +9 more

Todd Holden is an Adjunct Assistant Professor in the Department of Sociology at Bentley University's College of Arts and Sciences, where he teaches courses in media, communication, and cultural studies. He also holds the position of Associate in Research at Harvard University’s Reischauer Institute of Japanese Studies, reflecting his deep engagement with Japanese society and culture. His research spans semiotics, globalization, gender in advertising, digital media, and sports sociology, with a strong focus on Japan. His interdisciplinary work bridges cultural theory, media analysis, and social change, often exploring how signs, symbols, and narratives shape identity and societal structures. His publications reveal a consistent interest in global media dynamics, cultural inequality, and the semiotic dimensions of everyday life. Over time, his work has evolved from academic analysis to include literary expression, as seen in his memoir and novels. This blend of scholarly and creative output underscores a unique interdisciplinary trajectory. medi@sia: Global media/tion in and out of context (2006) Globalization, Culture and Inequality in Asia (2003) Reading Signs: Language, Culture, Society (2001) Peripatetic Postcards (2010) Mr. Big Maus (2014) Todd Holden has advised numerous academic publications and contributed to major scholarly conversations in media and cultural sociology. His consulting work in political media and digital communication reflects applied dimensions of his research. He has also been involved in public intellectual work through his column 'ReDotPop' for PopMatters. He was the first tenured foreign professor at Tohoku University in Japan, marking a significant milestone in international academic integration. His parallel career as a collegiate and professional basketball coach in Japan adds a distinctive dimension to his cross-cultural experience and community engagement.

• Mechanism-driven reaction design
• Organometallic chemistry
• Transition metal catalysis
• +7 more

Mónica H. Pérez-Temprano is a Senior Group Leader at the Institute of Chemical Research of Catalonia (ICIQ), where she leads a research group focused on mechanism-driven reaction design and development. Her work lies at the intersection of organometallic chemistry, catalysis, and sustainable synthesis, with a strong emphasis on understanding and leveraging reaction mechanisms to innovate in synthetic methodologies. She earned her BSc and MSc in Chemistry at the University of Valladolid and completed her PhD there in 2011 under Prof. Pablo Espinet and Juan Casares, focusing on palladium-catalyzed reaction mechanisms. She then conducted postdoctoral research with Prof. Melanie Sanford at the University of Michigan, exploring high-valent palladium chemistry. Since 2015, she has led her independent research group at ICIQ, advancing the mechanistic understanding of transition metal catalysis, particularly using earth-abundant metals like cobalt. Her research interests include cobalt-catalyzed C–H functionalization, bimetallic systems, hydrogen isotope exchange, and sustainable catalytic transformations. She employs mechanistic studies—such as trapping reactive intermediates and kinetic analysis—as foundational tools to design and improve catalytic processes. Her recent publications highlight work on Cp*Co-catalyzed reactions, spin crossover materials, and solvent-assisted heterocycle synthesis, demonstrating a trend toward innovative, mechanism-guided synthetic strategies with applications in materials science and green chemistry. 2021 Young Investigator Award – EuChemS Division of Organic Chemistry 2020 Young Investigator Group Leader Award – Spanish Royal Society of Chemistry (RSEQ) 2019 Thieme Journal Award 2018 C&EN Talented 12 She has supervised numerous PhD, master’s, and postdoctoral researchers, contributing to training the next generation of scientists. Her group is also active in science outreach, promoting STEM education and women in science. She serves on the International Advisory Boards of Organometallics , Chem Catalysis , and Chem. Eur. J. The Pérez-Temprano group operates within the ICIQ, a leading research center in sustainable chemistry, leveraging state-of-the-art facilities in spectroscopy, mass spectrometry, and catalysis to advance their work.

Karen Veroy-GreplView profile

Professor

• Numerical Methods for Partial Differential Equations
• Model Order Reduction
• Uncertainty Quantification
• +2 more

Karen Veroy-Grepl is a Full Professor of Computational Science at Eindhoven University of Technology (TU/e), affiliated with the Department of Mathematics and Computer Science and the Institute for Complex Molecular Systems (ICMS). She leads research in numerical methods for PDEs, model order reduction, and uncertainty quantification. Her work focuses on multi-scale simulations and data-driven experimental design. Education: B.S., Ateneo de Manila University (Philippines) S.M. and Ph.D., Massachusetts Institute of Technology (USA) Professional Roles: Editorial Board Member: Journal of Computational Physics, SIAM Journals on Uncertainty Quantification and Scientific Computing Scientific Advisor, International Centre for Numerical Methods in Engineering (CIMNE) Chair, SIAM Activity Group on Uncertainty Quantification Her research bridges computational science and engineering applications, with recent work advancing reduced-order models for complex systems and Bayesian inverse problems. Notable contributions include ERC Consolidator Grant-funded research and collaborations in biomedical modeling for real-time treatment planning.

Antti HannukainenView profile

Associate Professor

• Numerical Analysis
• Partial Differential Equations
• Inverse Problems
• +3 more

Antti Hannukainen is an Associate Professor at the Department of Mathematics and Systems Analysis, Aalto University, within the School of Science. His research focuses on numerical analysis, partial differential equations, inverse problems, and scientific computing. He leads projects like FAME (Flagship of Advanced Mathematics for Sensing, Imaging and Modelling) and contributes to computational methods for biomedical imaging, material science, and engineering applications. Education: Doctor of Science (Technology), Aalto University Affiliations: Numerical Analysis research group, Aalto University Research Interests: His work spans numerical methods for PDEs, finite element analysis, inverse problems in medical imaging, and optimization of engineering systems. Recent projects include modeling light transport in neonatal heads and topology optimization of magnetic materials. Teaching: He teaches courses in numerical analysis, matrix theory, and optimal experimental design at bachelor’s, master’s, and doctoral levels. Supervises theses in computational mathematics and engineering. Collaborations: Active in international collaborations, including the FAME initiative and work on eddy current problems in electromagnetism.

Udo NackenhorstView profile

Professor

• Computational Mechanics
• Biomechanics
• Finite Element Methods
• +5 more

Prof. Udo Nackenhorst is a Professor at the Institute of Mechanics and Computational Mechanics, Leibniz University Hannover. His research focuses on computational mechanics, biomechanics, and materials science, with expertise in finite element methods, stochastic analysis, and rolling contact dynamics. He holds a Dr.-Ing. from Ruhr-Universität Bochum and completed his Habilitation on dynamics of rolling bodies at Universität der Bundeswehr Hamburg. His work spans tire dynamics, bone remodeling, and uncertainty quantification in engineering systems. Awards include the 2011 Teaching Prize and Richard von Mises Prize. Key research areas include computational biomechanics, stochastic modeling of materials, and multiscale simulations. He has advised numerous studies on fatigue analysis, biofilm growth, and material behavior under uncertainty. His lab contributes to advancements in both fundamental mechanics and clinical applications like cochlear implants. Awards highlight his teaching excellence and groundbreaking research. Ongoing work focuses on stochastic finite element methods and reduced-order modeling for complex systems.

• Machine Learning
• Physics-Informed Neural Networks
• Computational Fluid Dynamics
• +12 more

Dr. Michael Rom is a researcher at the Institute for Geometry and Practical Mathematics (IGPM), part of the Faculty of Mathematics, Computer Science, and Natural Sciences at RWTH Aachen University, Germany. He is actively engaged in applied mathematics and computational engineering, with a strong focus on fluid dynamics, tribology, and machine learning applications in industrial processes. Research Interests: Physics-Informed Neural Networks Transpiration Cooling and Porous Media Flow Hydrodynamic Lubrication and Cavitation Modeling Reduced Basis and Homogenization Methods Grid Generation and B-Spline Surfaces Grinding Wheel and Surface Modeling His recent publications (2021–2025) show a clear trend toward integrating deep learning and data-driven methods into classical engineering problems, particularly in manufacturing, aerospace thermal protection, and tribological systems. He frequently collaborates with experts in mechanical engineering and materials science, bridging disciplines to solve complex multiphysics problems. Scientific Awards: No awards mentioned in the provided text. Dr. Rom has supervised or co-supervised several students, as evidenced by co-authored works with individuals like M. Schultz, F. Brumand-Poor, and V. König. He has also contributed to teaching at RWTH Aachen, offering courses in numerical computation and finite element methods. His research is supported by collaborations with industrial and academic partners, particularly in digital production and thermal spray technologies. Laboratories and Research Teams: Institute for Geometry and Practical Mathematics (IGPM), RWTH Aachen Collaboration with the Chair of Production Metrology and Quality Management (F. Klocke) Part of interdisciplinary projects such as Internet of Production and Monetization of Technical Data

• Probability theory and stochastic processes
• Random differential equations
• Uncertainty quantification
• +6 more

Ana Navarro Quiles is an Associate Professor in the Department of Statistics and Operations Research at the Faculty of Mathematics, University of Valencia, Spain. She is a member of the PROMEDyA research group, focusing on prediction and optimization under uncertainty using dynamic stochastic models. PhD : Universitat Politècnica de València, 2018 Thesis : Computational Methods for Random Differential Equations: Theory and Applications Supervisors : Dr. Juan Carlos Cortés López, Dr. Rafael Villanueva Micó, Dr. María Dolores Roselló Ferragud Her research centers on probabilistic solutions of random differential equations, uncertainty quantification in biological and epidemiological models, and stochastic control systems. She employs advanced techniques such as the Random Variable Transformation (RVT) method and Karhunen-Loève expansion to analyze systems with random parameters. Her work bridges theoretical mathematics with real-world applications in public health, chemistry, and engineering. She has published extensively in journals like Journal of Computational and Applied Mathematics and Chaos, Solitons & Fractals . The recent publications reveal a strong trend toward modeling complex dynamical systems under full parametric uncertainty, particularly in biological growth (Gompertz, logistic) and disease spread (SIR-type models). Her methodological focus lies in deriving complete probabilistic solutions using transformation techniques and functional expansions, moving beyond mean-value approximations to capture full distributional behavior. No scientific awards are mentioned in the provided texts. Ana Navarro Quiles collaborates extensively with researchers from the Universitat Politècnica de València and other institutions. While no specific grants are listed, her sustained output suggests active funding support. She has not been explicitly mentioned as an advisor to students in the provided material, but her role in a PhD thesis as a supervisor's co-supervisee indicates strong mentoring experience. She is affiliated with the PROMEDyA research group (Prediction and Optimization under uncertainty: dynamic stochastic models and applications), which conducts interdisciplinary research on modeling uncertain dynamical systems with applications in science and engineering.

Sina JafarzadehView profile

Research Fellow

• Additive Manufacturing
• Dielectric Elastomer Actuators
• Hollow Fiber Technology
• +3 more

Sina Jafarzadeh is a Postdoctoral Researcher in the Department of Energy Conversion and Storage at the Technical University of Denmark (DTU), specializing in advanced materials and structural analysis. His work directly supports UN Sustainable Development Goals through clean energy and sustainable technology innovations. His research portfolio spans five core domains: Additive Manufacturing of functional materials including magnetic composites Dielectric Elastomer Actuators with hollow fiber geometries Metamaterial design for reprogrammable mechanical properties Magnetoresponsive systems for nanomedicine applications Computational modeling of electroactive polymer systems Recent publications (2023-2025) reveal a strategic convergence of soft robotics, advanced manufacturing, and biomaterials. Key patterns include computational-experimental validation of hollow fiber actuators, algorithmic discovery of metamaterials, and translational applications of magnetic liposomes in drug delivery. His work demonstrates consistent methodological rigor across experimental, computational, and review frameworks. As principal investigator of the completed PhD project '3D Printing of Magnetically Functional Materials' (2020-2023), he developed novel passive shimming techniques while collaborating with international teams across Europe and North America. Current research continues this trajectory through DTU's Structural Analysis and Modelling group, focusing on structural optimization of electroactive systems. His experimental work operates within DTU's advanced materials laboratories, utilizing facilities for additive manufacturing, magnetic characterization, and soft actuator prototyping. Ongoing projects emphasize field-homogenization techniques for Halbach magnets and performance enhancement of dielectric elastomer fiber systems.

Jun WuView profile

Associate Professor

• Computational Design
• Digital Fabrication
• Topology Optimization
• +7 more

Jun Wu is an Associate Professor in the Department of Sustainable Design Engineering at Delft University of Technology (TU Delft), Faculty of Industrial Design Engineering, where he has been a tenure-track faculty member since 2016 and was promoted to Associate Professor in August 2022. He holds two PhDs: one in Computer Science from Technische Universität München (2015) and another in Mechanical Engineering from Beihang University (2012). Prior to TU Delft, he was an HC Ørsted Postdoctoral Fellow at DTU Denmark. Research Interests: His research lies at the intersection of computational design, digital fabrication, and structural optimization. He specializes in topology optimization (generative design) for additive manufacturing, with a focus on space-time optimization, stress-constrained design, multi-material lattices, and bio-inspired infill structures. His work bridges mechanical engineering, computer graphics, and materials science to create high-performance, lightweight, and printable structures. Recent Research Trends: His most recent publications (2023–2025) demonstrate a strong trend toward integrating physical constraints—such as residual stress, thermal distortion, and manufacturability—into topology optimization frameworks. He is pioneering space-time optimization for multi-axis additive manufacturing, developing methods for stress-aligned lattices, and exploring differentiable microstructures. His interdisciplinary work spans biomedical implants, soft robotics, and educational tools for design. Scientific Awards: Frontiers of Science Award, International Congress of Basic Science (2023) 2023 ISSMO Haftka Young Investigator Award 2021 SMA Young Investigator Award Best Paper Award (2nd place), SPM 2019 ISSMO/Springer Prize (2020) Multiple ESI Highly Cited Papers Advising and Grants: He leads a vibrant research group with numerous PhD students and postdocs. In 2023, he was awarded a Vidi grant from the Dutch Research Council (NWO) for his project on Space-time optimization for additive manufacturing . He has also secured funding under the Dutch Research Agenda (NWA) for the project AM4Micro . He actively mentors PhD candidates and has co-organized the IDEA League summer school on Computational Design for Additive Manufacturing since 2020. Labs and Teams: He is affiliated with the Computational Design Lab at TU Delft and is the initiator and convener of the TOP Webinar series since 2020, fostering global collaboration in topology optimization. He serves on the editorial boards of Computer-Aided Design and Structural and Multidisciplinary Optimization , and has been a program committee member for major conferences including SPM, CGI, and CVM.

Konrad SchöbelView profile

Professor

• Differential Geometry
• Algebraic Geometry
• Representation Theory
• +5 more

Prof. Dr. Konrad Schöbel is a Professor of Mathematics in Information and Communication Technology at the Faculty of Digital Transformation of Leipzig University of Applied Sciences (HTWK Leipzig) . His role involves teaching courses in mathematics and simulation, while also serving as a member of the Faculty Council and Deputy Chairman of the Examination Board. He is affiliated with the Mathematical and Natural Sciences Center of HTWK. Research Interests : Simulation of physical systems Image processing Inverse problems Classification of separable and superintegrable systems Differential and algebraic geometry Scientific consulting for SMEs Recent Publications focus on superintegrable systems, conformal geometry, and algebraic methods in mathematical physics, with collaborations spanning institutions like the University of New South Wales and Universität Hamburg. His work also includes patents in computational imaging and photolithography.

Vicente Cutanda HenriquezView profile

Associate Professor

• Acoustics
• Numerical Methods
• Electroacoustics
• +7 more

Vicente Cutanda Henriquez is an Associate Professor in the Department of Electrical and Photonics Engineering at the Technical University of Denmark (DTU), specializing in Acoustic Technology. His research integrates computational modeling and experimental validation in acoustics, with a strong focus on numerical methods such as the Boundary Element Method (BEM) and Finite Element Method (FEM). His research interests include acoustics, electroacoustics, microacoustics, transducer modeling, vibroacoustics, and numerical simulation techniques . He actively explores applications in hearing aid technology, underwater noise, broadband absorption, and personalized audio devices. His work often involves model order reduction, hybrid FEM-BEM approaches, and visco-thermal losses in acoustic systems. The recent publications reflect a strong trend in computational efficiency, acoustic metamaterials, and personalized hearing solutions , with increasing emphasis on real-world applications in medical devices and environmental acoustics. His work bridges theoretical acoustics with practical engineering challenges in audio and biomedical technologies. Computationally efficient Prediction of Underwater Noise from Offshore Pile Driving Broadband acoustic absorption using cylindrical rods Vibroacoustic modeling of balanced armature receivers Sound propagation in curved ear canals Reduced-order BEM with boundary layer impedance He has been involved in multiple scientific activities, including organizing the 24th International Congress on Acoustics and chairing Dansk Akustisk Selskab. Though no formal awards are listed, his leadership in national and international acoustics communities underscores his recognition. Vicente Cutanda Henriquez supervises several PhD students, including Kulakauskas, Pedersen, Bække, and Cai, and is involved in major research projects such as Efficient Numerical Modelling of Smart Hearables and Broadband Vibroacoustic Shape Optimization . His work is supported by institutional and collaborative grants, focusing on innovation in hearing technologies and sustainable acoustic solutions. He is affiliated with the Acoustic Technology group at DTU, a leading research unit in electroacoustics and numerical acoustics, contributing to both fundamental research and industrial applications in sound engineering.

Viktor KaldoView profile

Professor

• Psychiatry
• Clinical Psychology
• Cognitive Behavioral Therapy
• +7 more

Viktor Kaldo is a Professor at Linnaeus University and an affiliated researcher at Karolinska Institutet. His work focuses on Internet-delivered Cognitive Behavioral Therapy (ICBT) , particularly for insomnia, depression, and anxiety . He leads the Psychological Interventions research group at Karolinska, which emphasizes innovation, improvement, and implementation of digital mental health solutions. The group has conducted numerous randomized controlled trials (RCTs) and health economic analyses to evaluate ICBT efficacy across conditions like ADHD, chronic pain, and Parkinson’s disease . Education: Docent, Karolinska Institutet (2013). His research integrates machine learning to predict treatment outcomes and optimize precision medicine in mental health. Key collaborations include the Internet Psychiatry Unit and Psykiatri Sydväst . Notable scientific achievements include the Docent title (2013) and contributions to understanding sleep disorders, digital interventions, and their clinical applications. The group’s work has expanded to traditional CBT evaluation and implementation strategies in primary care and psychiatric settings . Viktor’s publications highlight the role of data homogeneity , organizational models , and comorbid condition treatments in digital mental health. He also explores the interplay between suicidal ideation and therapy outcomes , alongside digital tools for stress and ADHD management . Scientific Awards: Docent, Karolinska Institutet (2013). Grants and Collaborations: His team has contributed to large-scale projects like the KAIROS trial and MULTI-PSYCH cohort , emphasizing implementation science and multi-modal data analysis. Collaborations span clinics, primary care centers, and international institutions, focusing on digital mental health dissemination . Labs and Teams: Leads the Psychological Interventions - Innovation, Improvement, and Implementation group at Karolinska, which works closely with the Internet Psychiatry Unit. The group’s expertise in sleep problems and ICBT has informed national and international guidelines.

Alexander MielkeView profile

Professor

• Partial Differential Equations
• Gradient Systems
• Reaction-Diffusion Systems
• +8 more

Prof. Alexander Mielke is a leading mathematician affiliated with the Weierstrass Institute (WIAS) in Berlin, Germany. His work focuses on partial differential equations , gradient systems , and thermodynamic modeling with applications in material science, quantum mechanics, and multiscale systems. Institution: Weierstrass Institute (WIAS), Berlin Research Interests: Gradient flows, reaction-diffusion systems, optimal transport, variational analysis, and nonlinear mechanics Research Highlights: Mielke’s research explores the interplay between entropy decay , non-equilibrium steady states , and EDP convergence in gradient systems. His recent work includes self-similar profiles in diffusion equations and GENERIC formalism for thermodynamical models. Publications: He has authored over 50 peer-reviewed works, including studies on Hellinger–Kantorovich spaces , stochastic homogenization , and quantum-classical coupling . His articles appear in journals like Arch. Ration. Mech. Anal. , SIAM J. Math. Anal. , and J. Nonlinear Sci.

William SlofstraView profile

Associate Professor

• Quantum Information
• Quantum Computation
• Non-local Games
• +13 more

William Slofstra is an Associate Professor in the Department of Pure Mathematics at the University of Waterloo and a member of the Institute for Quantum Computing. His primary academic home is within the Faculty of Mathematics at Waterloo, where he contributes to both pure mathematical research and quantum information science. Slofstra's research spans two major areas: the mathematics of quantum information and computation, and classical areas of Lie theory and algebraic combinatorics. Within quantum information, his main interests include non-local games, quantum correlation sets, self-testing and device-independence, entanglement theory, and multi-prover interactive proofs. He also investigates new mathematical tools such as decision problems in operator algebras and approximate representation theory that could advance these areas. In Lie theory and algebraic combinatorics, his research focuses on Kac-Moody groups and algebras, Schubert varieties, Coxeter groups, and hyperplane arrangements. His publication record shows a strong trajectory from more classical mathematical research toward quantum information theory, with recent work demonstrating deep connections between group theory and quantum non-locality. His most significant contributions include proving that the set of quantum correlations is not closed, establishing undecidability results for quantum correlation membership problems, and developing connections between hyperlinear profiles of groups and entanglement requirements in non-local games. Slofstra maintains an active research program with numerous collaborations, particularly with Ed Richmond in the area of Schubert varieties and with various researchers in quantum information. His work has appeared in top journals including the Journal of the American Mathematical Society, Forum of Mathematics Pi, and the Computational Complexity Conference. He is engaged in educational activities, having worked on turning his notes for PMATH 343 into a book titled 'Linear algebra and quantum probability.' He also maintains a podcast and YouTube channel, though he notes he has minimal social media presence.

Malte A. PeterView profile

Professor

• Mathematical modelling
• Simulation
• Partial differential equations
• +7 more

Professor Malte A. Peter is a distinguished faculty member at the University of Augsburg, holding a professorship in Applied Analysis within the Faculty of Mathematics, Natural Sciences, and Materials Engineering. He serves as Vice-director of the Centre for Advanced Analytics and Predictive Sciences and is a member of the board of directors of the AI Production Network at the University of Augsburg. His leadership extends to international collaborations as a Local representative of the Association of Applied Mathematics and Mechanics (GAMM) and as an Associate editor of Nature Scientific Reports. His research spans mathematical modeling of wave phenomena, homogenization theory, and multiscale analysis. Key areas include water wave scattering, periodic homogenisation, physico-chemical mechanisms in multiscale media (porous media, biological cells), microfluidics, and materials science. His work bridges theoretical mathematics with practical applications in engineering and physics, particularly in understanding wave propagation through complex media and developing mathematical frameworks for evolving microstructures. Peter's publication record demonstrates consistent advancement in wave scattering theory, with recent work focusing on multiple wave scattering in locally resonant materials, homogenization of evolving microstructures, and computational methods for complex material behavior. His research shows increasing interdisciplinary collaboration, particularly with physicists and engineers working on metamaterials, wave energy applications, and material characterization. The trajectory indicates growing emphasis on computational implementations of theoretical frameworks. Life membership at Clare Hall, University of Cambridge (2023) Visiting fellowship at Clare Hall, University of Cambridge (2023) Gavin Brown Best Paper Prize of the Australian Mathematical Society (2021) Bremer Studienpreis 2007 (Rotary Club Bremen–Roland Prize) (2008) Admission to the German National Academic Foundation (2001) As leader of the Modelling and Simulation workgroup, Peter directs research on mathematical approaches to complex physical phenomena. His current externally funded projects include 'Novel approaches for the multidimensional convexification of inelastic variational models for fracture' (DFG-SPP 2256) and 'Effective factorisation techniques for matrix functions' (H2020-EU.1.3.). His previous projects have addressed carbon fiber reinforced concrete, lipid membrane dynamics, and electromagnetic emissions from crack propagation. His research program maintains strong international connections, particularly with Australian institutions and the Isaac Newton Institute. Peter leads the 'Workgroup Prof. Dr. M. A. Peter - Modelling and simulation' at the University of Augsburg, which includes research associates Dr. Tanja Lochner, Dr. Sophie Thery, and Lucas Fix, along with computational mathematics specialists Dr. Loïc Balazi and Timo Neumeier. The group collaborates extensively with international partners, particularly through the Isaac Newton Institute programmes and Australian research institutions. Current projects focus on mathematical frameworks for wave scattering, homogenization of evolving microstructures, and computational methods for material failure analysis.