جست‌وجوی استاد و پژوهشگر

Håkan Jönssonمشاهده پروفایل

مدرس ارشد

• Food Studies
• Ethnology
• Cultural Analysis of Food
• +۷ مورد دیگر

Håkan Jönsson is a Senior Lecturer and Associate Professor at Lund University's Faculty of Engineering, specifically within the Division of Food and Pharma. He is also a visiting professor in food studies at the Swedish University of Agricultural Sciences (SLU) in Alnarp since 2021. His academic work bridges ethnology and food science, focusing on the cultural, social, and economic dimensions of food systems. Lund University, Faculty of Engineering – Division of Food and Pharma Swedish University of Agricultural Sciences (SLU), Alnarp – Visiting Professor in Food Studies His research interests center on food studies, ethnology, and sustainable food systems. He explores how food practices reflect cultural identity, societal change, and globalization. His work spans gastronomy, rural transformation, culinary tourism, and the role of meals in social cohesion. He emphasizes interdisciplinary collaboration and application-oriented research. The recent publications highlight a consistent focus on sustainable food systems, cultural analysis of eating practices, and participatory research methods. Themes include commensality, food education, digitalization in food retail, and the cultural economy of food. The keywords and sub-fields reflect an interdisciplinary approach combining humanities, social sciences, and engineering perspectives. He has received notable recognition for his contributions to food culture and literature: Måltidsakademins pris 2018 i kategorin Historisk måltidslitteratur Pris för Årets Måltidslitteratur 2016 Gastronomiska akademiens silvermedalj för utomordentliga insatser för svensk matkultur Jönsson is actively involved in supervising students and leading research projects such as FOSSNET and NextFood. He co-developed the Master of Applied Cultural Analysis (MACA) program and manages the EIT Master of Food Systems at LTH. His involvement in 14 research projects and over 90 activities, including media participation and public lectures, underscores his engagement in both academic and societal discourse. He is a key member of the LTH Profile Area: Food and Bio and contributes to the UN Sustainable Development Goals, particularly those related to sustainable cities, responsible consumption, and life on land. His work integrates research, teaching, and public outreach to shape future food systems.

Ralf Hiptmairمشاهده پروفایل

استاد

• Computational Mathematics
• Numerical Analysis
• Finite Element Methods
• +۷ مورد دیگر

Ralf Hiptmair is a Full Professor at ETH Zürich, serving as Head of the Seminar for Applied Mathematics and Deputy Head of the Department of Mathematics. He also holds the position of Director of Studies for ETH BSc and MSc in Computational Sciences and Engineering (CSE). His research spans computational mathematics, numerical analysis, finite element methods, boundary element methods, computational electromagnetism, multigrid methods, discrete differential forms, shape optimization, wave propagation, and kinetic equations. Hiptmair's work on auxiliary space methods was recognized as a breakthrough in computational science in the 2008 DOE Report on recent significant advancements in computational science. His research focuses on developing and analyzing numerical methods for partial differential equations, with particular emphasis on structure-preserving discretizations, computational electromagnetism, and boundary integral equations. His work has significant applications in engineering, physics, and computational science. Hiptmair's publications demonstrate a strong focus on advancing numerical techniques for electromagnetic problems, wave propagation, and shape optimization. His recent work shows increasing interest in computational topology, geometric numerical integration, and interdisciplinary applications of numerical methods. Featured as breakthrough in computational science in the 2008 DOE Report on recent significant advancements in computational science (for Auxiliary space methods) Hiptmair has supervised numerous doctoral, master's, and bachelor's students across mathematics, computational science and engineering, and related fields. His research group has received funding for developing advanced numerical methods with applications in electromagnetism, fluid dynamics, and computational physics. He is actively involved in teaching numerical methods courses at both undergraduate and graduate levels. Hiptmair leads research efforts in the Seminar for Applied Mathematics, collaborating with industry partners like ABB Corporate Research and Siemens on practical applications of computational methods. His work bridges theoretical numerical analysis with real-world engineering challenges.

James Gabrilloمشاهده پروفایل

استادیار

• Digital Musicology
• Ethnomusicology
• Global Pop Music
• +۶ مورد دیگر

James Gabrillo is an Assistant Professor of Music at the University of Texas at Austin, where he teaches courses on digital musicology, ethnography, global pop music, and performance cultures of the Philippines. He serves as a faculty fellow at UT's Humanities Institute Seminar on Digital Futures and Social Justice, and is the principal investigator of the Sound Space Art Lab multimedia research initiative. Dr. Gabrillo's research focuses on the intersections of music, digital media, and cultural politics, with particular attention to Philippine musical practices and Filipino diasporic communities. His work spans digital musicology, ethnographic fieldwork, and multimedia scholarship, examining how sound and music operate within contemporary cultural and political contexts. His book Pop Convergence (Oxford University Press) examines the aesthetics and networks of musical multimedia in contemporary Manila. His scholarly contributions reveal emerging trends in the study of digital music cultures, with increasing attention to the global dimensions of pop music, the materiality of sound in digital contexts, and the political dimensions of musical practice. His research has been published in leading journals including the Journal of Popular Music Studies , Musical Quarterly , and Rock Music Studies . Dr. Gabrillo was previously a lecturer at The New School and a postdoctoral fellow at Princeton University, where he developed a digital humanities project mapping soundscapes of migrant Filipino caregivers. He earned his PhD from Peterhouse, Cambridge, and prior to his academic career worked as a journalist and arts editor for publications including The National , Al Jazeera English , Wired , Philippine Daily Inquirer , and The Japan Times . He maintains an active scholarly profile with regular publications in top journals and is also affiliated with Cambridge Digital Humanities as an associate, demonstrating his commitment to interdisciplinary research that connects traditional musicological methods with digital humanities approaches.

Mingfeng Wangمشاهده پروفایل

مدرس ارشد

• Continuum Robotics
• Legged Robotics
• Soft Robotics
• +۵ مورد دیگر

Dr. Mingfeng Wang is a Senior Lecturer in Robotics and Autonomous Systems at Brunel University London, affiliated with the Department of Mechanical and Aerospace Engineering within the College of Engineering, Design and Physical Sciences. His research focuses on specialized robotic systems including continuum, legged, soft, precision farming, and miniaturized robots. Chartered Engineer (CEng) with Engineering Council UK Fellow of the Higher Education Academy (FHEA) Member of IEEE, IEEE-RAS, IMechE, and IFToMM Editorial roles: Associate Editor of International Journal of Advanced Robotic Systems (JCR-Q3); Associate Editor of Frontiers in Robotics and AI (JCR-Q2); Editor of Information Processing in Agriculture (JCR-Q1), Biomimetic Intelligence and Robotics (JCR-Q1), and STEM Education Research expertise includes: Continuum Robotics : Design of extra-slender continuum robots (diameter-to-length ratio Legged Robotics : Parallel mechanism-based biped and hexapod robots for extreme environments Miniaturized Robotics : Active locomotion and drug delivery in capsule endoscopes Soft Robotics : Compliant end-effectors and bio-inspired designs Precision Farming : Laser weeding systems and agricultural automation Key scientific awards: BRIEF award (2022) TAROS Best Paper Post Nomination (2022) IFToMM Asian-MMS Best Paper Award (2014) Recent publications focus on: Cochlear implant surgery robotics Passive compliance in train fluid servicing Snake-biomimetic sealing surfaces Parallel kinematic manipulators Capsule endoscope image enhancement Professional services include conference organization (TAROS 2023/2024 Steering Committee; TAROS 2024 Programme Chair) and journal refereeing for IEEE-ASME Transactions on Mechatronics and Scientific Reports.

Mauricio Bustamanteمشاهده پروفایل

استادیار

• Astroparticle physics
• Neutrino physics
• Ultra-high-energy astrophysical neutrinos and cosmic rays
• +۵ مورد دیگر

Mauricio Bustamante is an Assistant Professor at the Niels Bohr Institute , University of Copenhagen, specializing in theoretical high-energy astrophysics, astroparticle physics, and neutrino phenomenology. His research bridges cosmic phenomena with fundamental particle physics, focusing on ultra-high-energy neutrinos, cosmic rays, gamma-ray bursts, and new physics beyond the Standard Model. PhD in Physics (2012-2014) M.Sc. in Physics (2007-2010) B.Sc. in Physics (2001-2006) His work explores neutrino oscillations, self-interactions, and decay in extreme astrophysical environments. He contributes to major international collaborations like GRAND (Giant Radio Array for Neutrino Detection) and IceCube-Gen2, developing simulation pipelines and forecasting detection methods for EeV-scale neutrinos. Recent publications highlight energy-dependent flavor transitions, Lorentz invariance testing, and constraints on long-range neutrino interactions via DUNE and T2HK experiments. He actively participates in peer review for journals such as Physical Review D , Physical Review Letters , and Astrophysical Journal , and has attended conferences like TeV Particle Astrophysics (2017). His research emphasizes detector design, cosmic ray reconstruction via graph neural networks, and multi-messenger astronomy.

Sriramkrishnan Muralikrishnanمشاهده پروفایل

پژوهشگر

• Numerical Analysis
• High Performance Scientific Computing
• Plasma Physics
• +۴ مورد دیگر

Sriramkrishnan Muralikrishnan is a Research Staff member at the Department of Mathematics and Education within the Jülich Supercomputing Center (JSC) at Forschungszentrum Jülich, Germany. His work focuses on developing advanced computational methods for high-performance scientific computing, particularly in plasma physics and related multi-physics applications. Dr. Muralikrishnan's research spans several key computational domains: Numerical Analysis and High-Order Methods High Performance Scientific Computing for Exascale Architectures Plasma Physics Simulations Fast Solvers and Preconditioners Parallel-in-Time Integration Techniques Performance Portable Programming His recent publications demonstrate a strong focus on particle-based computational methods, particularly Particle-in-Cell and Particle-in-Fourier techniques. His work consistently addresses challenges in energy conservation, scalability across architectures, and noise reduction in plasma simulations. A significant portion of his research involves developing performance-portable frameworks that can efficiently leverage modern supercomputing hardware from different vendors without code rewrites. Dr. Muralikrishnan is actively involved in open-source scientific software development: Lead developer of IPPL (a performance portable library for grids and particles) Developer of OPAL (an open-source particle accelerator library) His research has direct applications in plasma physics, fusion energy research, and advanced accelerator design, with a strong emphasis on making computational methods accessible through open-source development and advocating for diversity in scientific computing.

Robert Clementsمشاهده پروفایل

استادیار

• Data Science Education
• AI and Data Ethics
• Machine Learning
• +۲ مورد دیگر

Robert Clements is an Assistant Professor in the Master of Science in Data Science (MSDS) program at the University of San Francisco (USF) and serves as Director of the Center for AI and Data Ethics. After nearly ten years in industry as a data scientist and senior director of data science across Bay-Area companies including Optum, Walmart Labs, UnitedHealthcare, GE Digital, and Verisk Analytics, he returned to academia to focus on education and ethical issues surrounding AI and data. Education PhD in Statistics, University of California, Los Angeles, 2011 MS in Statistics, University of California, Los Angeles, 2009 BA in Mathematics, Humboldt State University, 2006 Research Interests Dr. Clements focuses on data science education , exploring innovative pedagogies that equip students with practical and ethical data skills. He studies the societal impacts of AI and datafication , seeking frameworks to ensure responsible deployment of machine-learning systems. Additional interests include MLOps (the engineering practices that support reliable machine-learning workflows) and applied statistics across diverse domains. His peer-reviewed work to date concentrates on statistical seismology, where he developed advanced residual-analysis and model-evaluation techniques for earthquake-forecast models. These contributions provide rigorous methods for assessing space-time point processes and improve the reliability of seismic hazard assessments. Academic & Professional Service As Director of the Center for AI and Data Ethics, Dr. Clements leads initiatives that create open educational resources, case studies, and student practicum projects centered on ethical AI. He co-hosts the USF Data Science Podcast alongside faculty colleague Cody Carroll, offering guidance to prospective and current MSDS students on program insights, learning strategies, and career development.

Ghyslain Gagnonمشاهده پروفایل

استاد

• Radiofrequency circuits and antennas
• Microelectronics
• Wireless communications
• +۴ مورد دیگر

Ghyslain Gagnon is a Professor in the Department of Electrical Engineering at École de technologie supérieure (ÉTS) in Montreal, Canada. He leads research activities within the LACIME – Communications and Microelectronic Integration Laboratory, focusing on cutting-edge developments in microelectronics, sensors, and communication systems. His work bridges theoretical research and practical applications across multiple domains including health technologies, wireless communications, and quantum engineering. Education: B.Ing. from École de technologie supérieure M.Ing. from École de technologie supérieure Ph.D. from Université de Carleton Professor Gagnon's research spans several interconnected domains with emphasis on Radiofrequency circuits and antennas, Microelectronics, Wireless communications, Sensors and monitoring systems, Machine learning applications, Health technologies, and Quantum engineering. His work demonstrates a strong commitment to translating theoretical concepts into practical solutions with real-world impact, particularly in the areas of health monitoring systems and advanced communication technologies. His recent publications reveal a clear trajectory toward increasingly interdisciplinary research, combining traditional electrical engineering with machine learning, health monitoring, and quantum technologies. The trend shows growing emphasis on practical applications in automotive safety systems, wireless communications for next-generation networks, and health monitoring technologies that leverage flexible electronics and novel sensor designs. Professor Gagnon has successfully supervised numerous graduate students through their doctoral and master's research, with recent theses focusing on smart hearing protection devices, machine learning applications, energy monitoring systems, and flexible sensor technologies. His supervision record demonstrates consistent productivity and relevance to contemporary engineering challenges. He is an active member of the LACIME research laboratory, which focuses on six key areas: Functional materials, Micro- and nanofabrication processes, Conception and design of integrated circuits, Design and fabrication of hybrid components, Photonic and electronic microsystems, and Signal processing and communication. This environment provides students with access to cutting-edge tools and fosters innovation through interdisciplinary collaboration.

• Art History
• Aesthetics
• Art Theory
• +۷ مورد دیگر

Dr. Angela Stercken is a Research Fellow at the Institute for Art and Art History, University of Duisburg-Essen. She specializes in art theory, aesthetics, and transcultural exchanges, particularly focusing on the Black Atlantic, diasporic art practices, and temporalities in contemporary art. Key research areas: transatlantic art, postcolonial critique, transmedial aesthetics Active in DFG-funded projects (2017-2020) and international networks Her recent publications explore diasporic image politics, maritime spaces in art, and temporal concepts in global modernism. She has received fellowships from prestigious institutions in the USA, Senegal, and Germany. Scientific awards include: DFG Research Funding (2017-2020) Grimme Online Award (2013) International fellowships (2018) She co-edits collaborative projects on aesthetic temporalities and contributes to exhibitions and digital humanities initiatives.

Sonia Flissمشاهده پروفایل

استاد

• Wave Propagation
• Mathematical Analysis
• Numerical Analysis
• +۵ مورد دیگر

Sonia Fliss is a Full Professor at ENSTA Paris , affiliated with the Department of Applied Mathematics and the POEMS laboratory (UMR CNRS-INRIA-ENSTA) . She teaches applied mathematics courses on partial differential equations (PDEs) , finite element methods , and periodic homogenization to undergraduate and graduate students. Doctor in Applied Mathematics (2009) Authorized to supervise research (2019) Research Interests : Sonia Fliss specializes in the modeling and numerical analysis of wave propagation in periodic, quasi-periodic, and random media . Her work includes transparent boundary conditions , guided waves , and asymptotic methods for acoustic, electromagnetic, and elastic wave phenomena . Recent Publications highlight her contributions to the Half-Space Matching Method , edge states in honeycomb structures , and scattering problems in unbounded domains . Her numerical techniques address multi-scale waveguides and time-harmonic propagation . Laboratory : As a member of the POEMS team, she collaborates on interdisciplinary projects involving mathematical analysis , computational physics , and engineering applications in domains like defence, energy, and transport .

Anne E. McCallمشاهده پروفایل

استاد

• Nineteenth Century French Fiction
• Life Writing
• George Sand
• +۴ مورد دیگر

Anne E. McCall serves as the 13th President of The College of Wooster and is a tenured Professor of French and Francophone Studies. She assumed the presidency on July 1, 2023, and was formally inaugurated on October 28, 2023. As the second woman to lead Wooster since its founding in 1866, she brings extensive academic leadership experience from previous roles as provost at Xavier University of Louisiana and deanships at Binghamton University, University of Denver, and Tulane University. Dr. McCall earned her bachelor's degree in French and German from the University of Virginia before pursuing graduate studies in France, where she earned both her master's and doctoral degrees in French literature from the Université Strasbourg. She has maintained a distinguished academic career alongside her administrative roles, remaining active in scholarship throughout her leadership positions. Her research focuses on nineteenth-century French fiction and life writing, with particular expertise in the works of George Sand. As a past-president of the George Sand Association, Dr. McCall has established herself as an internationally recognized scholar in this field. Her scholarly work explores epistolary literature, autobiography, and the intersection of legal and literary discourses in nineteenth-century France, examining how writers like George Sand challenged societal norms through their literary innovations. She has published extensively on George Sand's works, including a book titled 'De l'être en lettres. L'autobiographie épistolaire de George Sand' (1996) and is completing 'Arrested Memories: Letters, Law, and Literature in Nineteenth-Century France'. Dr. McCall's publications demonstrate a consistent scholarly trajectory examining narrative forms, particularly epistolary conventions, and their relationship to social structures. Her work shows increasing engagement with interdisciplinary approaches, connecting literary analysis with historical, legal, and gender studies frameworks. Over time, her research has expanded from focused textual analysis to more complex examinations of how literature interacts with broader cultural and institutional forces. While specific scientific awards aren't detailed in the available information, Dr. McCall's scholarly contributions have been recognized through her leadership positions in academic organizations and her invitation to present at international conferences. Her work has been published in prestigious journals and presses specializing in French literary studies. As an administrator, Dr. McCall has demonstrated exceptional skill in academic leadership, having overseen the creation of new core curricula and nearly two dozen degree programs at Xavier University. She has successfully secured funding from major foundations including Andrew W. Mellon, W.K. Kellogg, and Kresge, as well as federal agencies like NIH, Department of Education, and NSF. Her commitment to inclusive excellence is evident in her work establishing task forces on diversity, creating specialized courses on migrations and diasporas, and implementing initiatives to support underrepresented faculty. Dr. McCall serves as Chair of the Steering Committee for the U.S. section of Scholars at Risk, demonstrating her commitment to academic freedom globally. She has also been involved with the Center for Equity, Justice, and the Human Spirit at Xavier University and has led initiatives addressing systemic inequities in STEM fields, particularly focusing on female faculty of color. Her leadership philosophy emphasizes 'building innovation through inclusive excellence' and she is committed to nurturing environments conducive to global learning and intellectual freedom.

• High-dimensional probability theory
• Data Science
• Machine Learning
• +۵ مورد دیگر

Sjoerd Dirksen is a Professor of Mathematics for Data Sciences at Utrecht University since May 2025, having previously served as an Associate Professor for Applied Mathematics (2019-2025) and Junior Professor at RWTH Aachen University (2014-2019). He is affiliated with the Mathematical Institute within the Faculty of Science at Utrecht University, where his office is located in the Hans Freudenthal Building. His research interests focus on high-dimensional probability theory and its applications in data science, machine learning, and signal processing. Specifically, he investigates randomized data dimension reduction methods using structured random matrices, theory for deep learning including random neural networks, high-dimensional covariance estimation for wireless communication systems, and statistical postprocessing of weather forecasts in collaboration with the Royal Netherlands Meteorological Institute (KNMI). Previously, he worked on compressed sensing, sharp estimates for stochastic processes in Banach spaces, and noncommutative analysis. Analysis of his recent publications (2018-2024) reveals a strong focus on quantization effects in high-dimensional data processing, particularly one-bit compressed sensing and covariance estimation under coarse quantization. His work bridges theoretical mathematics with practical applications in signal processing, wireless communications, and meteorological forecasting, demonstrating a consistent trajectory from foundational mathematical research to applied data science problems. Dirksen's academic career shows progression from postdoctoral work at the Hausdorff Center for Mathematics in Bonn to independent research positions. His publication record demonstrates significant contributions to the mathematics of data science, with papers appearing in top journals across mathematics, statistics, and signal processing. His research combines deep theoretical insights with practical applications, particularly in the areas of dimensionality reduction and high-dimensional statistics.

Marie-Christine Dükerمشاهده پروفایل

استادیار

• high-dimensional statistics
• time series analysis
• functional data analysis
• +۱۱ مورد دیگر

Marie-Christine Düker is an Assistant Professor in the Department of Statistics and Data Science at Friedrich-Alexander University (Germany). Her research focuses on high-dimensional statistics, time series analysis, functional data analysis, and extreme value theory with applications in economics, psychology, chemistry, and ecology. Previously, she was a postdoctoral associate at Cornell University's Department of Statistics and Data Science under David Matteson. She earned her PhD in Mathematics from Ruhr-University Bochum under Herold Dehling and spent part of her doctoral studies at the University of North Carolina at Chapel Hill with Vladas Pipiras. Current Position: Assistant Professor, Department of Statistics and Data Science, Friedrich-Alexander University Previous Academic Affiliation: Postdoctoral Associate, Cornell University Education: PhD in Mathematics, Ruhr-University Bochum; Part-time research at University of North Carolina Research Interests: Her work spans high-dimensional time series under long-range dependence and nonstationarity, discrete data modeling, nonlinear dynamics, dimension reduction, and change-point analysis. Applications include econometrics, neuroscience, chemical data analysis, and ecological forecasting. Recent Publications: Her 2025-2024 work covers Hilbert space-valued linear processes, kernel estimation for nonlinear dynamics, confidence interval approximations, and latent Gaussian count time series. Earlier papers address simultaneous diagonalization, long-run variance matrices, and transition rate estimation challenges. Contact: marie.dueker@fau.de

• Stochastic Control
• Financial Mathematics
• Probability
• +۲ مورد دیگر

Nacira Agram is an Associate Professor at Kungliga Tekniska Högskolan (KTH), specializing in stochastic analysis, mean-field processes, and mathematical finance. She contributes to education through roles as Examiner and Teacher in advanced financial mathematics courses. Research Focus: Her work centers on stochastic differential equations with applications to financial markets, energy systems, and population modeling. Key areas include conditional McKean–Vlasov jump diffusions, singular control of stochastic Volterra equations, and deep learning applications in stochastic modeling. Publications: Recent research explores mean-field control, optimal stopping, and SPDEs with space interactions, emphasizing advanced mathematical techniques for financial and ecological systems. Teaching: Currently involved in courses like Financial Derivatives and Martingales and Stochastic Integrals , where she serves as course responsible and examiner.

Georg Gottwaldمشاهده پروفایل

استاد

• Dynamical Systems
• Geophysical Fluid Dynamics
• Climate Modeling
• +۵ مورد دیگر

Professor Georg Gottwald is a distinguished academic in the School of Mathematics and Statistics at the University of Sydney, where he has been a faculty member since 2002, progressing from Lecturer to his current position as Professor since 2013. He also holds a Visiting Professor position at the University of Surrey in the UK since 2013. His extensive research career spans dynamical systems theory, geophysical fluid dynamics, and the intersection of machine learning with complex systems. Professor Gottwald's research focuses on dynamical systems theory as an abstract formalism for studying systems evolving in time and space. His work has significant applications across diverse fields including climate modeling, biological systems, and complex networks. He is particularly known for developing methods for model reduction of complex dynamical systems, stochastic modeling approaches, and the application of machine learning techniques to dynamical systems. His research aligns with the Faculty of Science Research Strengths in Understanding the Universe, Fundamental Laws of Nature, Complex Systems, Climate and Environmental Change, Data and Decisions, and National Security. His most recent publications demonstrate a strong trajectory toward integrating machine learning with dynamical systems theory, particularly in developing stable generative models, learning dynamical systems with random feature maps, and combining data assimilation with machine learning for forecasting. His work spans pure mathematical theory to practical applications in climate science, finance, and biological systems, showing remarkable breadth while maintaining deep mathematical rigor. Future Fellowship, 'Stochastic methods in mathematical geophysical fluid dynamics', Australian Research Council, 2010-2014 Australian Research Fellowship, 'Stochastic methods in mathematical geophysical fluid dynamics', Australian Research Council, 2010-2015 (declined) Australian Research Fellowship, 'Geometric methods in geophysical fluid dynamics', Australian Research Council, 2004-2009 Professor Gottwald has successfully supervised numerous PhD and Master's students who have gone on to academic and industry positions worldwide. His current research group includes postdocs and PhD students working on machine learning for dynamical systems, stochastic model reduction, physics-informed machine intelligence, and tensor methods for scientific machine learning. He has secured multiple ARC Discovery Project grants and has been involved in significant international collaborative research projects. He is actively involved with the Sydney Dynamics Group, which he co-founded in 2007, fostering collaboration between the University of Sydney and UNSW. Professor Gottwald maintains strong editorial commitments as Associate Editor for Geophysical and Astrophysical Fluid Dynamics, SIAM Journal of Applied Dynamical Systems, and Journal of Computational Dynamics, and serves on the Editorial Advisory Board for Chaos and the Editorial Board for Physical Review E. His professional activities demonstrate leadership in the dynamical systems community through organizing workshops, seminars, and special journal issues.