جستجوی استاد راهنمای دانشگاهی

Yves Kayserمشاهده پروفایل

پژوهشگر

• X-ray Spectroscopy
• Catalysis
• Inorganic Chemistry
• +۳ مورد دیگر

Dr. Yves Kayser is a Researcher and Project Leader at the Max Planck Institute for Chemical Energy Conversion (MPI CEC), leading the In-house X-ray Spectroscopy group since 2022. His work focuses on developing advanced X-ray spectroscopic techniques for studying catalytic materials and energy storage systems. He holds a B.Sc., M.Sc., and Ph.D. in Physics from the University of Fribourg, Switzerland, followed by postdoctoral research at the University of Fribourg, Paul Scherrer Institut (Switzerland), and the Physikalisch-Technische Bundesanstalt (Germany). Affiliations: Max Planck Institute for Chemical Energy Conversion (MPI CEC) Research Interests: X-ray absorption spectroscopy (XAS), X-ray emission spectroscopy (XES), high-energy-resolution spectroscopy for catalytic materials, in situ/operando analysis, and instrumentation development. Dr. Kayser’s research emphasizes leveraging X-ray techniques to probe electronic and geometric structures of catalytic materials. His group develops stand-alone laboratory instruments for high-energy-resolution studies, including laser plasma sources and von Hamos spectrometers. Key contributions include advancing grazing incidence X-ray fluorescence (GIXRF) for nanostructure analysis and integrating time-resolved experiments for catalytic reaction monitoring. His recent publications explore topics such as differential scattering coefficients for metals, semiconductor nanostructure metrology, and TiO₂ doping effects. He received the 2018 Young Scientist Award from the European X-ray Spectrometry Association for his contributions to instrumentation and methodology. Awards: Young Scientist Award (2018) Students: Advising John Carl Camayang (PhD). Lab Infrastructure: In-house X-ray spectrometers for transmission XAS, EXAFS, and XES, including laser plasma and von Hamos setups.

• Structural Dynamics
• Nonlinear Dynamics
• Experimental Mechanics
• +۱۲ مورد دیگر

Matt Allen is a Professor in the Department of Mechanical Engineering at Brigham Young University (BYU), within the College of Engineering. He previously held faculty positions at the University of Wisconsin-Madison in the Engineering Physics Department, progressing from Assistant to Associate to Full Professor. His research group, the BYU Structural Dynamics Research Group, is actively engaged in experimental and analytical studies of complex dynamic systems. Ph.D. and M.S. in Mechanical Engineering, Georgia Institute of Technology (2005) B.S. in Mechanical Engineering, Brigham Young University (2001) Postdoctoral Appointee, Sandia National Laboratories (2005–2006) Dr. Allen’s research centers on structural dynamics, with a strong emphasis on nonlinear dynamics , experimental mechanics , and vibrations . His team develops innovative methods to characterize and model systems where traditional modeling fails—such as structures with large deformations, frictional joints, or complex interfaces. Key research thrusts include nonlinear normal modes, substructuring for nonlinear systems, damping characterization in bolted joints, and test-based model updating. His work bridges engineering structures and biomechanical systems, such as human gait dynamics. The research publications reflect a consistent focus on nonlinear structural dynamics , experimental system identification , and model validation . Trends show increasing integration of computational methods like harmonic balance and reduced-order modeling with experimental data, particularly for spacecraft, aircraft, and mechanical joints. The work is highly interdisciplinary, intersecting mechanical, aerospace, and civil engineering. Dominick J. DeMichele Award, Society for Experimental Mechanics B. J. Lazan Award, Society for Experimental Mechanics NASA NESC Group Achievement Award for work on nonlinear joints in the MPCV Young Investigator Award, Air Force Office of Scientific Research Dr. Allen has advised numerous graduate students, many of whom appear as co-authors on publications. He has secured over $3.3 million in research funding as principal investigator, with total project funding exceeding $5.5 million when including funds managed by collaborators. He is actively involved in professional service, including editorial roles for Experimental Mechanics and Experimental Techniques , and leadership in the Society for Experimental Mechanics. He teaches core courses in dynamics, vibrations, and modeling at both BYU and previously at UW-Madison. He leads the BYU Structural Dynamics Research Group, which focuses on developing experimental and analytical tools for understanding complex dynamic behavior in engineering and biological systems. The group emphasizes rigorous validation, interdisciplinary collaboration, and real-world application in aerospace, automotive, and biomechanical domains.

Reza Zadehمشاهده پروفایل

استاد مدعو

• Machine Learning
• Distributed Computing
• Discrete Mathematics
• +۷ مورد دیگر

Reza Zadeh is a Computational Mathematics professor at Stanford University's School of Engineering and Founder & CEO of Matroid . He previously served as a Technical Advisory Board member for Databricks and leads the Spark Tutorial at Stanford. Research Interests: Specializing in Machine Learning and Distributed Computing , his work bridges theoretical mathematics with practical implementations in big data systems. Key focus areas include Optimization of Apache Spark 3D Convolutional Neural Networks Discrete Mathematics and Graph Theory Medical Imaging Applications Academic Contributions: His publications reveal trends across multiple disciplines: Adapting machine learning for medical diagnostics (2019-2022) Advancing distributed computing frameworks (2014-2016) Developing mathematical foundations for social networks (2009-2013) Creating scalable optimization algorithms (2014-2016) Scientific Awards: Best Paper Award runner-up at KDD 2016 Academic Leadership: He has taught SMACC Consulting and designed courses including CME 323: Distributed Algorithms and Optimization (2015-2024) and CME 305: Discrete Mathematics and Algorithms (2010-2017). His lectures cover graph theory, approximation algorithms, and spectral sparsification. Labs & Teams: Organized Spark Summit workshops and leads Scaled Machine Learning Conference . Collaborates with Stanford's ICME computational consulting services.

Lei Geمشاهده پروفایل

دانشیار

• Thermal Catalysis
• Membrane Separation
• Selective Gas Adsorption
• +۴ مورد دیگر

Dr. Lei Ge is an Honorary Associate Professor at the School of Chemical Engineering , The University of Queensland , with a focus on novel materials for thermal catalysis, membrane separation, and selective gas adsorption. His work spans 1D/2D materials (MOFs, carbon nanotubes, polymers) and MOF-derived catalysts for electrolysis. Qualifications: Doctor of Philosophy, The University of Queensland Research Interests: Dr. Ge investigates materials for CO2 reduction (e.g., electrochemical and photoreduction), gas separation membranes, and coal permeability challenges in coal seam gas production. His expertise includes metal-organic frameworks, carbon nanotubes, and electrocatalyst design. Publication Trends: His recent work emphasizes electrochemical CO2 conversion using advanced electrode configurations, MOF-derived catalysts, and interfacial engineering to enhance reaction efficiency. Topics include gas-diffusion electrodes, heterojunctions for charge transfer, and nanocomposites for biocatalysis. Supervision: Dr. Ge actively supervises PhD candidates in projects related to electrochemical CO2 capture, fuel cell materials, and MOF membranes, collaborating with advisors like Professor John Zhu and Dr. Mike Tebyetekerwa.

Sylke Frahnertمشاهده پروفایل

پژوهشگر

• Ornithology
• Evolutionary Biology
• Biodiversity Research
• +۵ مورد دیگر

Dr. Sylke Frahnert is a Researcher at the Museum of Natural History Berlin (Leibniz Institute for Evolution and Biodiversity Research), where she serves as Curator of the Ornithological Collection and Women's Representative. Her work spans ornithology, taxonomy, and historical collection studies, focusing on avian systematics, evolutionary morphology, and the legacy of colonial-era expeditions like Ernst Schäfer's Tibet missions. She employs advanced techniques such as 3D geometric morphometrics to analyze corvid skulls and bird footscale patterns. Research Interests: Evolutionary morphology of birds, type specimen documentation, historical context of colonial collections, and functional integration of avian species in urban ecosystems. Publications: Her publications (2004–2011) emphasize type specimen cataloging, taxonomic revisions, and the intersection of ornithology with cultural heritage. Notable works include analyses of the Oppenheim Collection, Nauru bird specimens, and 3D morphometric studies on corvid skulls. Team Involvement: She collaborates on projects like the digital catalog of German ornithological type specimens under GBIF and contributes to museum-wide initiatives such as the 'Class, Order, Art' anniversary volume.

• Computer Graphics
• Virtual Reality
• Cultural Heritage Visualization
• +۷ مورد دیگر

Carlos Antonio Andújar Gran is a faculty member at the Faculty of Informatics of Barcelona (FIB), Universitat Politècnica de Catalunya (UPC), where he is affiliated with the Department of Computer Science. He actively contributes to the academic community through teaching and supervising numerous student projects, particularly in advanced computing domains. His research interests center on the application of computer graphics, virtual reality, and artificial intelligence to real-world problems. Key areas include the 3D visualization and virtual reconstruction of cultural heritage, physically accurate rendering, intelligent segmentation of images, and the use of machine learning and reinforcement learning in sports analytics, particularly for padel. His work bridges technical innovation with practical applications in cultural preservation and sports technology. The recent publications under his supervision reflect a strong trend in digital cultural heritage, with multiple projects focused on tools for virtual visits, reconstruction, lighting simulation, and web-based 3D visualization of heritage models. Another significant trend is the application of AI to padel, including ball and player tracking, virtual coaching, and training virtual agents using reinforcement learning. These projects demonstrate a consistent focus on computer vision, interactive systems, and data-driven modeling. Carlos Antonio Andújar Gran has supervised a substantial number of students, guiding both undergraduate and master's theses. While specific grant information is not available in the text, his sustained supervision across many years suggests active involvement in research projects. He plays a key role in mentoring the next generation of computer scientists at UPC. His work is closely tied to the Department of Computer Science at FIB, where he collaborates with other faculty members such as Imanol Muñoz Pandiella, Núria Pelechano Gómez, and Mohammadreza Javadiha on various student projects, indicating a collaborative research environment focused on graphics, AI, and VR applications.

• Mathematics Education
• Teacher Education
• Algebra Teaching
• +۴ مورد دیگر

Ali Bozkurt is a Professor in Mathematics Education at the Gaziantep Education Faculty , Gaziantep University. His academic career spans over two decades, with previous roles including Associate Professor (2013-2019) and Assistant Professor (2008-2013) at the same institution. He holds a PhD (2007), MS (2001), and BS (1999) in Mathematics Education from Selçuk University. Research Focus: Mathematics education, teacher training, algebraic/geometric reasoning, technology integration, STEM education, and educational activity design. Key Projects: Led TÜBİTAK and higher education institution-funded projects on innovative mathematics pedagogy, technology-enhanced classrooms, and quality of mathematics instruction. Publications include 31 books/chapters and 59 articles, emphasizing cognitive demand in textbooks, ethical decision-making in teaching, and activity evaluation frameworks. His work has been presented at international conferences like ICME-15 and ERME. He collaborates with scholars such as Mehmet Fatih Özmantar and Begüm Özmuşul on algebraic habits and geometric reasoning. Scientific Contributions: Developed the Activity Evaluation and Feedback Tool (AEFT) and analyzed mathematics instruction quality in Turkey and Syria. Advising: Mentors graduate students and pre-service teachers, particularly in algebraic/geometric reasoning and classroom practices.

Phong Nguyenمشاهده پروفایل

استاد پژوهش

• Cryptography
• Cryptanalysis
• Post-quantum Cryptography
• +۵ مورد دیگر

Phong Nguyen is a Research Professor at Inria (Directeur de recherche) and a part-time professor at the Computer Science Department (DI ENS) of École Normale Supérieure (ENS), PSL University in Paris. He leads the ENS Crypto Team (Inria Equipe Projet Cascade) and serves as the principal investigator for the ERC Advanced Grant PARQ (2020) focused on lattices in parallel and quantum computing. He holds a PhD (1999) and Habilitation (2007) from ENS-Lyon, with an agrégation de mathématiques (1997). His research integrates cryptography, algorithmic number theory, and lattice-based computations, emphasizing: Cryptanalysis : Deconstructing cryptographic protocols, especially lattice-based systems Post-quantum cryptography : Developing quantum-resistant solutions Lattice algorithms : Optimization of reduction, enumeration, and sieving techniques Real-world applications : Bridging theoretical constructs with practical security implementations His publications (spanning Eurocrypt, Asiacrypt, and Journal of Cryptology) demonstrate deep expertise in lattice cryptography, with recurring themes in algorithm efficiency, cryptanalysis of NTRU/GGH systems, and theoretical advancements in lattice reduction. Recent work (2024) continues this trajectory with improved BKZ analysis and hypercubic lattice optimizations. Awards include : ERC Advanced Grant (2020) for PARQ project Best Paper Award at EUROCRYPT 2006 Cor Baayen Award (2001) He advises PhD students (e.g., Henry Bambury, Leo Ducas) and interns from institutions like École Polytechnique and ENS. He directs the ENS Crypto Team and previously held leadership roles as: French Director of the Japanese-French Laboratory for Informatics (2015-2019) European Director of LIAMA (Sino-European Computer Science Lab, 2013-2015) Coordinator of ECRYPT II virtual labs (2008-2012)

Martin Brookeمشاهده پروفایل

دانشیار

• Analog Circuits
• RF Circuits
• Optoelectronic Circuits
• +۴ مورد دیگر

Martin Brooke is an Associate Professor of Electrical and Computer Engineering at Duke University's Pratt School of Engineering. He earned his B.E. in Electrical Engineering (First Class Honors) from Auckland University, New Zealand (1981), followed by M.S. (1984) and Ph.D. (1988) degrees from the University of Southern California. His career includes positions at Georgia Institute of Technology (1988-2003) before joining Duke. Dr. Brooke's research spans analog/RF/optoelectronic circuits, sensor interfaces, and deployable sensor systems with applications in ocean engineering and biomedical imaging. He leads innovative projects including ocean pH monitoring sensors and X Prize seafloor mapping initiatives, focusing on solving 'open-ended problems' through interdisciplinary approaches combining engineering with marine science. His extensive publication record (160+ articles) demonstrates consistent focus on sensor technologies, integrated circuits, and engineering education. Recent works emphasize biomedical applications (cancer margin assessment), environmental monitoring (ocean sensors), and educational innovations (remote microelectronics labs), showing a trend toward multidisciplinary solutions for real-world challenges. Awards and Honors: Capers and Marion McDonald Award for Teaching/Research Excellence (2022) Georgia Tech Outstanding Thesis Advisor Award (2003) IEEE Midwest Symposium Best Paper Award (1992) NSF Research Initiation Award (1990) Analog Devices Career Development Award (1988-1993) He has graduated 23 PhD students and mentors teams for major challenges like the X Prize ocean robotics competition. His research group develops deployable sensor systems with funding from NSF, X Prize Foundation, and industry partners. Current projects include drone-based ocean floor mapping systems and advanced pH sensors for marine ecosystem monitoring. Dr. Brooke leads the Brooke Research Group focusing on analog/RF systems and sensor integration. The team collaborates with Duke Marine Lab on ocean engineering initiatives and maintains eight U.S. patents. Future work emphasizes scalable sensor networks for environmental monitoring and biomedical diagnostics.

• Structural and Tectonic Geology
• Seismic Hazard Assessment
• Fault Mechanics
• +۳ مورد دیگر

Giovanni Camanni is an Associate Professor at the Department of Chemical and Geological Sciences, University of Modena and Reggio Emilia. His work focuses on structural geology, fault mechanics, and seismic hazard assessment, with extensive research in fault segmentation, reactivation processes, and 3D geological modeling. Research Interests: Structural geology, tectonic inheritance, fault kinematics, petrophysical reservoir characterization, and volcano-tectonic processes. Teaching: Courses on Seismic Sources and Microzonation , Structural Geology and Tectonics , and Geological Survey , covering advanced fault mapping, displacement analysis, and field methodologies. Techniques: Utilizes 3D seismic reflection data, photogrammetry, unsupervised learning algorithms (DBSCAN/OPTICS), and U-Pb dating for fault and reservoir studies. Applications: Findings contribute to seismic risk mitigation, fluid flow prediction in fractured reservoirs, and urban subsidence management, particularly in southern Italy and Taiwan. Recent Publications (2020-2025): Advanced understanding of fault zone architecture in dolostones, displacement transfer mechanisms in relay zones, Wilson cycle fault reactivation, and multidisciplinary approaches to ground deformation studies.

David P. Fieldمشاهده پروفایل

استاد

• Physical Metallurgy
• Materials Characterization
• Solid Mechanics
• +۴ مورد دیگر

David P. Field is a Professor at Washington State University's Voiland College of Engineering and Architecture , where he serves as Director of the Institute of Materials Research and Associate Dean for Research and Graduate Education. His expertise spans physical metallurgy , materials characterization , and microstructure engineering . Ph.D. in Mechanical Engineering, Yale University, 1991 M.S. in Mechanical Engineering, Brigham Young University, 1988 B.S. in Mechanical Engineering, University of Wyoming, 1987 Research focuses on metal deformation , recrystallization mechanisms , and advanced microscopy techniques , particularly addressing texture evolution and grain boundary engineering . Key article trends include computational modeling of microstructural heterogeneity, additive manufacturing of titanium, and thermomechanical processing of uranium-molybdenum alloys. Scientific recognitions include: 2024 Plenary Lecture at ICOTOM 20 2023 Fellow of ASM International 2015 MLK Distinguished Service Award 2011 Best Paper in Physical Sciences, Microscopy and Microanalysis Field has advised 15+ graduate researchers and led international collaborations at institutions like Universite de Lorraine and IISC Bangalore. His work integrates experimental and computational approaches to solve materials challenges in energy and manufacturing sectors.

• Mathematics Education
• Educational Sciences
• Technology in Education
• +۳ مورد دیگر

António Augusto Gaspar Ribeiro serves as Professor at the Polytechnic Institute of Viseu's School of Education, where he has maintained continuous academic service since 1986, progressing from Assistant to current Professor Coordenador rank. His scholarly identity centers on Mathematics Education with specialized expertise in geometry pedagogy and educational technology integration across primary and teacher education contexts. His academic formation includes: Doctorate in Didactics of Mathematics (2005, University of Aveiro) Doctorate in Didactics (2005, University of Aveiro) Master's in Mathematics Teaching Methodology (1995, University of Lisbon) Licenciatura in Mathematics Teaching/Nature Sciences (1987, Polytechnic Institute of Viseu) Ribeiro's research program demonstrates sustained innovation in mathematics education, particularly through dynamic geometry environments like Cabri-Géomètre for primary classrooms. His work bridges theoretical frameworks with practical applications, examining teacher cognition, curriculum implementation challenges, and technology-enhanced learning. Recent scholarship shows expanded focus on interdisciplinary approaches in higher education and the pedagogical potential of humor in mathematics instruction. Analysis of his 25+ publications reveals evolving thematic trajectories: early work (2002-2006) established foundations in geometry education and technology integration; mid-career research (2009-2014) addressed curriculum reform and teacher development; current output (2017-2021) emphasizes interdisciplinary collaboration, early childhood mathematics, and socio-emotional dimensions of learning. His scientific recognition includes: 1º Concurso Nacional de Software Educacional - PUZZLE (1993) 1º Concurso Nacional de Software Educacional - JornalHist (1993) Ribeiro has supervised eight master's theses in Educational Sciences, primarily focusing on geometry education, technology integration, and teacher cognition. He leads the SmartCityKidsLab initiative (2019-present) and previously coordinated the PRINT interdisciplinary project (2017-2018) with Brazilian partners. His research portfolio includes four funded projects through the Center for Research in Education, Technologies and Health. As an institutional leader, he serves on the School of Education's Scientific Council and has held multiple governance roles including Pedagogical Council Secretary (1996-1998) and Vice-President of the School Board (2000-2002). His professional engagement extends to the Association of Mathematics Teachers and international collaborations with Brazilian institutions.

• Synthetic biology
• Artificial life
• Biochemistry
• +۵ مورد دیگر

Martin Michael Hanczyc is an Associate Professor in the Department of Cellular, Computational, and Integrative Biology (CIBIO) at the University of Trento, Italy. His research program bridges biochemistry, biophysics, and synthetic biology to explore the fundamental principles of life through artificial systems. Dr. Hanczyc's primary research interests focus on synthetic biology and artificial life , particularly the creation and study of artificial cell systems using vesicles and droplets as model compartments. His work explores how simple chemical systems can exhibit life-like behaviors including self-organization, compartmentalization, and survival strategies. He investigates the physical and chemical principles underlying the formation of primitive cell-like structures, with implications for understanding the origin of life. His recent publications reveal a strong trend toward quantitative analysis of dynamic systems, with increasing focus on network formation, computational modeling, and high-throughput methods for studying artificial cell behaviors. The research spans from fundamental studies of vesicle and droplet dynamics to more complex investigations of artificial ecosystems and chemical networks that mimic biological processes. As an educator, Dr. Hanczyc teaches in the Biotechnology Engineering program and contributes to the RNA Biology and Biotechnology course, focusing on advanced biomaterials, tissue engineering, and regenerative medicine applications. His teaching emphasizes the integration of theoretical principles with practical applications in biomedical technologies.

Maxime Faironمشاهده پروفایل

استادیار

• Poisson algebras
• Integrable systems
• Non-commutative geometry
• +۳ مورد دیگر

Maxime Fairon is an Assistant Professor (Maître de Conférences) at the Institut de Mathématiques de Bourgogne, Université Bourgogne Europe, affiliated with CNRS. He joined the institute in December 2023 and is a member of the Mathematics-Physics research team. His office is located in the Mirande Building (Office 407). Research interests include Poisson algebras, integrable systems, and non-commutative geometry, with applications to mathematical physics and representation theory. Key focus areas are: Double Poisson brackets and their algebraic/geometric generalizations Connections between quiver varieties and integrable particle systems (e.g., Ruijsenaars-Schneider models) Vertex algebras and non-commutative Hamiltonian structures His publications (2017–2025) demonstrate consistent work on unifying Poisson geometry with dynamical systems, featuring innovations in double multiplicative structures, quiver-based integrability, and morphism theories. Recent articles emphasize classification problems and geometric reductions. Current student supervision includes Master's projects on Poisson vertex algebras (A. Fotiadis, 2024) and degenerate integrable systems (J. Deshan, 2025). He coordinates graduate courses in geometry and algebra, and co-organizes workshops like the 2025 Workshop on Non-Associative Algebras. No awards or grants are mentioned in available materials.

Eric Christopher Chenمشاهده پروفایل

استادیار

• Geometric Analysis
• Geometric Flows
• Partial Differential Equations
• +۱ مورد دیگر

Eric Christopher Chen is an Assistant Professor in the Department of Mathematics at the University of Illinois Urbana-Champaign, affiliated with the College of Liberal Arts & Sciences. His research focuses on geometric analysis, geometric flows, and partial differential equations. Previously, he was an NSF Postdoctoral Fellow at UC Berkeley and a Ky Fan Visiting Assistant Professor at UC Santa Barbara. Chen’s recent work in geometric flows includes studies on Yamabe flow convergence on asymptotically Euclidean and flat manifolds, Ricci flow smoothing with integral curvature pinching, and sphere theorems for Yamabe metrics. His publications often bridge differential geometry with nonlinear PDE analysis. NSF Postdoctoral Fellowship (2019–2022) Chen is actively involved in the Illinois Geometric Analysis Seminar , organizing talks and presenting his research on Yamabe flow behavior in 2025. His email contact is ecchen@illinois.edu.