جست‌وجوی استاد و پژوهشگر

Eliza O’Reillyمشاهده پروفایل

استادیار

• Mathematics of Data Science
• Stochastic and Convex Geometry
• Point Processes
• +۴ مورد دیگر

Eliza O’Reilly is an Assistant Professor in the Department of Applied Mathematics & Statistics at Johns Hopkins University (JHU) and a member of the Data Science and AI Institute. Her research focuses on the mathematical foundations of data science, combining stochastic and convex geometry, high-dimensional probability, and statistical learning theory. She develops geometric models and algorithms for analyzing complex data structures, with applications in machine learning, optimization, and high-dimensional statistics. Dr. O’Reilly holds a B.S. in Mathematics from the University of Pittsburgh (2013) and a Ph.D. in Mathematics from the University of Texas at Austin (2019), where she was advised by François Baccelli. She completed a postdoctoral fellowship at the California Institute of Technology (2019–2022), sponsored by Venkat Chandrasekaran and Joel Tropp. Her work has been supported by NSF fellowships, including a NSF Graduate Research Fellowship and a NSF Postdoctoral Research Fellowship. Her research interests include: Randomized partitioning algorithms (e.g., Mondrian forests) Regularization in statistical inference and inverse problems Convex and nonconvex optimization methods Determinantal point processes and repulsive models High-dimensional geometry of random convex sets Her publications span theoretical guarantees for machine learning algorithms, optimization frameworks for data-driven problems, and geometric analysis of stochastic processes. Notable contributions include minimax analyses for random tessellation forests and spectral methods for convex regression. She actively collaborates with researchers in applied mathematics, statistics, and computer science.

• Wetland Ecology
• Environmental Science
• General Biology
• +۳ مورد دیگر

John Hribljan is an Assistant Professor in the Department of Biology at the University of Nebraska at Omaha's College of Arts and Sciences. His research focuses on wetland ecology, particularly mountain peatlands in temperate and tropical regions, emphasizing hydrology, plant ecology, soil/water chemistry, and climate change impacts. He leads a lab based in Allwine 101 and actively uses remote sensing and field experiments to inform wetland management policies. His teaching interests include Wetland Ecology, Environmental Science, and General Biology. Research highlights include global-scale studies of peatland carbon dynamics, effects of water table manipulation on ecosystem functioning, and transnational comparisons of tropical peatland degradation. He employs methods like radiocarbon dating, FTIR spectroscopy, and multi-sensor remote sensing to advance understanding of these systems. No scientific awards are listed in the provided profile, though his work demonstrates significant contributions to peatland conservation science. Advising and grant information is not explicitly mentioned. His lab work focuses on Andean and Peruvian ecosystems with applications to global carbon cycling and climate adaptation strategies.

Govind Menonمشاهده پروفایل

استاد

• Mathematical Physics
• Dynamical Systems
• Partial Differential Equations
• +۷ مورد دیگر

Govind Menon is a Professor of Applied Mathematics at Brown University, where he has been since 2004. He holds editorial roles at journals including Applied Mathematics Letters , Journal of Nonlinear Science , and SIAM Journal of Mathematical Analysis . His research focuses on mathematical physics, particularly the interplay between dynamical systems, integrable systems, kinetic theory, and probability theory, with applications to fluid mechanics, materials science, and self-assembly. Menon received his Ph.D. in Applied Mathematics from Brown University (2001), an MS in Theoretical and Applied Mechanics from Cornell (1996), and a B.Tech in Mechanical Engineering from IIT Kharagpur (1994). He has been awarded the NSF Career Award (2008–2013) and served as a Clay Mathematics Institute Emissary (2000). His teaching includes courses on nonlinear dynamics, partial differential equations, and information theory. Education: Ph.D., Applied Mathematics, Brown University, 2001 M.S., Theoretical and Applied Mechanics, Cornell University, 1996 B.Tech, Mechanical Engineering, Indian Institute of Technology Kharagpur, 1994 Research Interests: Menon’s work spans pure and applied mathematics, including analysis, PDEs, dynamical systems, and collaborations with experimentalists in materials science. Recent efforts include studying disorder in physical models/numerical algorithms, connections between random matrix theory and number theory, and developing a mathematical theory for self-assembly processes. His funded research includes NSF grants focusing on turbulence, integrability, and dynamic scaling. Awards: NSF Career Award (2008–2013) Clay Mathematics Institute Emissary (2000) Grants & Advising: Current NSF funding includes a grant on turbulence and integrability (2014–2017). Past grants include studies on coarsening dynamics, self-assembly, and fluid interfaces. His advising spans interdisciplinary collaborations with experimentalists in materials science and engineering. Labs/Teams: Collaborates with experimental groups on self-assembly projects, such as the design of self-folding polyhedra with David Gracias’ lab at Johns Hopkins University.

• Quantum Computation
• Quantum Communication
• Quantum Cryptography
• +۳ مورد دیگر

Laszlo Gyongyosi is a Lecturer in Quantum Information and Computation at the Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics (BME). He holds a PhD in Quantum Information (2013) and an M.Sc. in Theoretical Computer Science (2008), both from BME under Prof. Sandor Imre's supervision. His research spans quantum computation, quantum communication, quantum networking, and quantum cryptography with a focus on quantum internet architecture, entanglement distribution, and quantum key distribution protocols. Professional Experience: Research Associate in Quantum Information and Computation, BME Research Group Leader (Quantum Internet), MTA Premium Postdoctoral Research Program Researcher, School of Electronics and Computer Science, University of Southampton Researcher, U.S. Army Research Laboratory (ARL)-BME Collaboration Research Highlights: Developed entanglement gradient routing and multilayer optimization frameworks for quantum networks Proposed adaptive multicarrier quantum key distribution protocols with Gaussian modulation Studied quantum gravity thermodynamics and decoherence in superconducting qubits Co-authored the textbook Advanced Quantum Communications: An Engineering Approach (Wiley-IEEE, 2013) Publications: Over 50 journal/conference papers in top venues like Communications of the ACM , Nature Scientific Reports , and IEEE Transactions , focusing on quantum internet architectures, gate-model quantum computers, and secure quantum communication protocols.

Simon Clarkمشاهده پروفایل

استاد

• Earth Science
• Materials Engineering
• Neutron Scattering
• +۴ مورد دیگر

Simon Clark is a Professor at Macquarie University's School of Engineering within the Department of Earth and Planetary Sciences, where he has served since 2012 as Deputy Head of Department and leader of the successful SmartCrete Cooperative Research Centre bid. His career bridges academic research and national laboratories with extensive international collaborations. Research Interests: Professor Clark specializes in Earth Science and Materials Engineering, with world-recognized expertise in Synchrotron Radiation, Neutron Scattering and Imaging, High-Pressure Science, and Cement/Concrete Technology. His work leverages X-ray Diffraction and extreme-condition experimentation to study material properties, particularly electrical conductivity in geological formations and engineered materials. Publication Trends: Analysis of his 2022-2023 outputs reveals dominant themes in neutron imaging optimization, electrical conductivity under extreme conditions, and concrete degradation mechanisms. His research consistently integrates advanced instrumentation with computational modeling to address complex materials science and geophysical challenges. Advising and Funding: He supervises PhD candidates including Samaya Manthri Patabendi Gedara (ANSTO Scholarship project). Major grants include the SmartCrete CRC (2020-2027), ARENA-funded steelmaking slag upcycling initiative (2024-2030), and Transport for NSW concrete crack monitoring project (2022-2026) involving multi-institutional teams. Research Infrastructure: Professor Clark maintains active partnerships with ANSTO and international neutron/synchrotron facilities, leading teams focused on sustainable construction materials development and high-pressure experimental methodologies for Earth science applications.

Nicola Morleyمشاهده پروفایل

استاد

• Materials Physics
• Functional Magnetic Materials
• Materials Informatics
• +۹ مورد دیگر

Professor Nicola Morley is a leading academic in the School of Chemical, Materials and Biological Engineering at the University of Sheffield , where she was promoted to Professor in 2019. Her research focuses on functional magnetic materials and materials informatics , leveraging advanced fabrication techniques such as spark plasma sintering and additive manufacturing to explore applications in refrigeration , structural health monitoring , and electric motors . Deputy Head of School Teaches modules: MAT1910 - Introduction to Nanoscience , MAT3210 - Advanced Functional Materials Her work combines computational methods (Natural Language Processing, Machine Learning) with high-throughput experimentation to develop high entropy alloys for corrosion resistance , soft magnetism , and fusion materials . She pioneered combinatorial design studies to understand magnetic high entropy alloys and their phase boundaries. Recent publications highlight her contributions to magnetostrictive sensors for aerospace composites, muon spectroscopy in solar cell research, and Fe-based amorphous alloys via laser additive manufacturing. Her 2019 Leverhulme Trust Senior Research Fellowship catalyzed a £2.5m funding influx for magnetic materials research. Selected Awards: Leverhulme Trust Senior Research Fellowship (2019) Senior Member, IEEE Member, Institute of Physics

• Materials Physics
• Computational Physics
• Surface Science
• +۳ مورد دیگر

Jyri Kalevi Kimari is a Researcher at the Department of Physics, University of Helsinki, affiliated with the Institute of Physics. His work focuses on computational physics, materials science, and surface processes. He holds a Doctoral degree from the University of Helsinki (2023). Education: PhD in Physics, University of Helsinki (2023) Research interests include atomistic simulations of surface diffusion under electric fields, plasma-material interactions, and applications of neural networks in materials physics. His recent work explores phenomena like copper surface blistering under ion irradiation and biased diffusion mechanisms. Publications span topics from computational modeling to vacuum arcing ignition mechanisms. No scientific awards explicitly mentioned. Advising activities not documented in provided texts. Collaborates with labs focused on materials physics and computational methods.

Gero Frieseckeمشاهده پروفایل

استاد

• Electronic structure of atoms and molecules
• Calculus of variations
• Molecular dynamics
• +۳ مورد دیگر

Prof. Gero Friesecke is a Professor of Mathematics at the Technical University of Munich (TUM), leading the Chair of Analysis within the Department of Mathematics. He is affiliated with the TUM School of Computation, Information and Technology. His research focuses on electronic structure theory, calculus of variations, molecular dynamics, multiscale methods, and optimal transport. He has held academic positions at institutions like the University of Oxford and the University of Warwick before joining TUM in 2004. Education includes a PhD from Heriot-Watt University (1993) and postdoctoral work at Carnegie Mellon University, Universität Freiburg, and ETH Zurich. Notable awards include the Whitehead Prize (1999) and the Oberwolfach Prize (1995). His work spans theoretical and applied mathematics, with contributions to quantum chemistry, materials science, and optimal transport algorithms. He co-edits journals like the Archive for Rational Mechanics and Analysis and serves on scientific advisory boards, including the Max Planck Institute for Mathematics in the Sciences. Recent research emphasizes optimal transport applications in data science and quantum chemistry, with publications on topics like Wasserstein barycenters and self-assembly processes. His leadership roles include Dean of the Faculty of Mathematics at TUM (2012-2015) and co-founding the GAMM activity group on molecular systems modeling.

Johannes Kollmannمشاهده پروفایل

استاد

• Restoration Ecology
• Ecosystem Restoration
• Invasive Species Management
• +۴ مورد دیگر

Prof. Dr. Johannes Kollmann is a renowned ecologist at the Technical University of Munich (TUM), holding the Chair of Restoration Ecology within the TUM School of Life Sciences. His research focuses on restoring anthropogenically disturbed ecosystems, including investigations into reference systems, plant material selection, invasive species, and long-term monitoring. He has held academic positions at ETH Zurich, the University of Copenhagen, and TUM since 2010. He earned his doctorate in vegetation ecology from the University of Freiburg, followed by postdoctoral work at the University of Cambridge. His career includes roles as an associate professor at NIBIO Oslo and lecturer at KVL, alongside editorial and reviewing roles in ecological journals. Key accolades include the Lecturer of the Year award (2004) and the Walter Schall Prize (1995). His research integrates ecological principles with practical restoration strategies, addressing climate change impacts, biodiversity conservation, and sustainable land use. Notable projects include the Grassworks initiative and studies on dike grasslands, invasive species management, and agroecological systems. His work bridges ecological science with societal needs, advocating for evidence-based restoration policies. Scientific contributions span over 50 peer-reviewed articles, emphasizing functional traits, restoration frameworks, and socio-ecological systems. Collaborations with international institutions underscore his global influence in ecological science.

Junpeng Wangمشاهده پروفایل

پژوهشگر ارشد

• lightweight structural design
• structural optimization
• scientific visualization
• +۵ مورد دیگر

Dr. Junpeng Wang is a Postdoctoral Researcher (since June 2023) in the Chair of Computer Graphics and Visualization at the Technical University of Munich, working under Prof. Rüdiger Westermann. Previously, he completed his PhD at the same institution from November 2018 to June 2023. His research focuses on lightweight structural design and optimization with geometry-based approaches, as well as scientific visualization of tensor and mesh data. Wang's research interests span lightweight structural design , structural optimization , and scientific visualization . His work integrates computational mechanics with computer graphics to develop novel methods for stress analysis, lattice structure optimization, and 3D data visualization. His research has practical applications in mechanical engineering, additive manufacturing, and scientific data analysis. His publication portfolio shows a strong trend toward integrating machine learning with traditional computational mechanics methods, particularly in the areas of 3D Gaussian Splatting and neural data structures. Wang has developed the 3D-TSV (3D Trajectory-based Stress Visualizer), a significant tool for exploring principal stress directions in 3D solids under load, which has been published in Advances in Engineering Software (2022). Wang serves as a reviewer for prestigious journals including IEEE Transactions on Visualization and Computer Graphics (TVCG), Computer Methods in Applied Mechanics and Engineering (CMAME), Journal of Mechanical Design (JMD), Optics Express (OPTE), Computer-Aided Geometric Design (CAG), and Shape Modeling International Conference (SPM[C]). His collaborative work primarily involves Prof. Rüdiger Westermann at TUM and Jun Wu at other institutions, demonstrating strong interdisciplinary connections between computer graphics and mechanical engineering research groups.

Thomas Blesgenمشاهده پروفایل

استاد

• Nonlinear Mechanics
• Electronic Structure Calculations
• Multiscale Modeling
• +۳ مورد دیگر

Prof. Thomas Blesgen is a Professor of Mathematics and Digital Technology at Technische Hochschule Bingen, Department 2. He holds a habilitation and PhD in Mathematics from the University of Bonn and University of Leipzig respectively. His career includes research stays at the University of Cambridge, California Institute of Technology, and Max Planck Institute for Mathematics in the Sciences. Research focuses on nonlinear mechanics, electronic structure calculations, multiscale modeling, and materials science. He has pioneered work on Cosserat plasticity, two-phase flow models, and continuum limits of nanomaterials. His methods integrate partial differential equations, calculus of variations, and geometric measure theory. Notable projects include DFG-funded dynamic recrystallization studies and NSF/AFOSR-sponsored electronic structure computations. Recent work addresses microstructure formation in nonlinear elasticity. He teaches applied mathematics across bachelor's and master's programs.

Klaus Boldtمشاهده پروفایل

استاد

• Photonic Nanomaterials
• Rational Synthesis of Complex Nanostructures
• Charge Carrier Dynamics
• +۹ مورد دیگر

Klaus Boldt is a Professor of Photonic Nanomaterials at the Department of Physical Chemistry, Institute of Chemistry, University of Rostock, where he leads a research group focused on advanced nanomaterials synthesis and characterization. He holds a W2 university professorship and moved his group to Rostock in October 2022 after leading a research group at the University of Konstanz. Doctorate (Dr. rer. nat.), University of Hamburg (2011) Postdoctoral Research, University of Melbourne (2012–2014) Postdoctoral Research, TU Dresden (2014–2015) Research Group Leader, University of Konstanz (2015–2022) Professor for Photonic Nanomaterials, University of Rostock (2022–present) His research spans the rational synthesis of complex nanostructures , charge carrier dynamics , excitonics , colloidal semiconductors , and heterostructures . He employs advanced techniques such as time-resolved spectroscopy and transmission electron microscopy to study nanomaterials. His work has significant implications for optoelectronics, photocatalysis, and nanophotonics. He also develops educational software, notably Insensitive , a tool for simulating NMR experiments for teaching purposes. The recent publications reflect a strong focus on semiconductor nanocrystals, core/shell structures, metal-semiconductor hybrids, and advanced spectroscopic characterization. Trends show a progression from synthesis and structural analysis toward functional studies of exciton dynamics and practical applications in energy and catalysis. The 2023 paper on NMR simulation also highlights his commitment to science education and digital tools. Dr. Boldt has received numerous recognitions, including: Feodor Lynen Fellowship (Alexander von Humboldt Foundation, 2011) Liebig Scholarship (Chemical Industry Fund, 2014) Marie Curie Research Fellow (Zukunftskolleg Konstanz, 2016) Heisenberg Fellow (German Research Foundation, 2021) He actively advises graduate students and has successfully supervised doctoral candidates such as Dr. Danja Fischli. His group has secured competitive funding, including a recent DFG grant worth €485,000 for a pump-probe spectrometer to study transient absorption and stimulated Raman scattering. He collaborates with institutions like DESY and Montan-Universität Leoben. His lab, the Photonic Nanomaterials group, continues to expand with new PhD and master’s students working on semiconductor-metal hybrids, I-III-VI₂ nanoparticles, and photocatalysis. The research group operates state-of-the-art facilities and engages in beamtime experiments at major research infrastructures. They maintain an open-science approach, with software like Insensitive available on GitHub. The team fosters interdisciplinary research at the intersection of chemistry, physics, and materials science.

Jun Wuمشاهده پروفایل

دانشیار

• Computational Design
• Digital Fabrication
• Topology Optimization
• +۷ مورد دیگر

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.

• Molecular Plant Physiology
• Plant Development
• Transcription Factors
• +۳ مورد دیگر

Laila Moubayidin is an Associate Professor at the Department of Chemical, Life, and Environmental Sustainability Sciences, University of Parma. She teaches courses in Molecular Plant Physiology and Plant-based Sustainable Materials within Second Cycle Degree programs (A.Y. 2024/2025 and 2025/2026). Her research focuses on plant developmental biology, particularly the molecular mechanisms governing floral organ symmetry and style development in Arabidopsis thaliana. Her work explores: Transcription factor regulation (e.g., SPATULA) Auxin and hormone signaling pathways O-glycosylation in protein function Feed-forward gene networks Cell elongation in plant morphology Sustainable materials from plant-based systems Recent publications analyze Arabidopsis style development through genetic, biochemical, and systems biology approaches, emphasizing transcriptional and post-translational regulatory mechanisms. While no scientific awards are listed in the provided data, her collaborative research involves international institutions and interdisciplinary methodologies.

• Microbial Ecology
• Marine Microbiology
• Extremophile Microbiology
• +۳ مورد دیگر

Nicole Trefault is a Researcher at Catholic University of the North specializing in microbial ecology within extreme environments. Her work focuses on understanding how microorganisms shape ecosystems through genomic responses, primarily in Antarctic and Arctic regions. She employs molecular genetics, metagenomics, and metatranscriptomics to investigate microbial communities across diverse natural systems including marine habitats, polar soils, and high-elevation deserts. Her research interests center on microbial adaptation in extreme environments, with emphasis on Antarctic sponge microbiomes, Arctic phytoplankton dynamics, and soil microbial responses to climate change. She examines host-microbe symbiosis, trace gas metabolism in desert soils, and vegetation-microbe interactions in warming Antarctic ecosystems. Her methodological approach integrates multi-omics techniques with field experimentation to unravel ecological and genomic patterns. Analysis of her 2022-2024 publications reveals consistent focus on polar microbial ecology, particularly Antarctic marine systems and Arctic ice-edge environments. Key trends include investigation of parasitic dinoflagellates in sponges, phytoplankton vulnerability to sea-ice loss, and microbial biogeography in response to environmental gradients. Her work demonstrates strong interdisciplinary connections between climate science, microbial genomics, and ecosystem functioning. No scientific awards were documented in the provided text. Information regarding student mentorship or research grants was not available in the source material. Her collaborative network includes researchers from Pontificia Universidad Católica de Chile, University of Concepcion, and international institutions, though specific advising roles or funded projects remain unreported. Laboratory infrastructure and research team composition were not specified in the scraped content. Her editorial contributions include 3 edited publications and 2 reviewed publications through Frontiers, indicating active engagement in academic knowledge dissemination despite lacking an editorial board role.