جست‌وجوی استاد و پژوهشگر

• Organic Chemistry
• Nanotechnology
• Theoretical Chemistry

Gül Kotan is an Associate Professor at Kafkas University 's Kars Vocational School since 2022, leading the Department of Chemistry and Chemical Processing Technologies. She holds a PhD (2015) and MSc (2007) in Chemistry from Kafkas University, and a BSc (2005) from Atatürk University's Department of Chemistry. Education: PhD in Chemistry, Kafkas University (2015) MSc in Chemistry, Kafkas University (2007) BSc in Chemistry, Atatürk University (2005) Research Interests: Her work spans Organic Chemistry , focusing on synthesizing novel 1,2,4-triazole derivatives, and Theoretical Chemistry , using DFT calculations to analyze molecular properties. She also explores Nanotechnology applications in electrochemical sensors and antimicrobial agents. Scientific Contributions: With 114 publications and 204 citations, her research emphasizes heterocyclic compounds , antioxidants , and antimicrobial agents . She has led projects on Mannich bases and schiff bases , combining synthetic methods with computational analysis. Collaborations: She has worked extensively with Haydar Yüksek (102 collaborations) and others on interdisciplinary projects involving graphene oxide , MXene nanoparticles , and reduced graphene oxide for biosensing and environmental applications.

Sasha Laketaمشاهده پروفایل

دانشیار

• Epistemology
• Transcendental Philosophy
• Critical Theory
• +۳ مورد دیگر

Assoc. Prof. Dr. Sasha Laketa is an Associate Professor at the Faculty of Philosophy, University of Banja Luka. She teaches courses such as Analytical Philosophy, Critical Theory of Society, Contemporary Epistemological Theories, Logic, Aesthetics, and Philosophy of Science. Her research focuses on transcendental philosophy, epistemology, and critical theory, often analyzing Kantian, Fichtean, and Heideggerian frameworks. Department: Department of Philosophy Email: sasa.laketa@ff.unibl.org ORCID: https://orcid.org/0009-0004-3407-1760 Her publications examine intersections of transcendental logic, causality debates, and critiques of positivism. She contributes to journals like Filozofska istraživanja , Sineza , and RAD . Recent work includes Kantian constructivism in geometry and Heideggerian transcendental imagination. She participates in academic projects like the international film and identity conference and collaborates on interdisciplinary initiatives. Her teaching methodology integrates critical theory and Marxist philosophy, reflecting her research interests.

Neil Katzمشاهده پروفایل

استاد

• Riemannian geometry
• Integral geometry
• Isosystolic inequalities
• +۱ مورد دیگر

Neil Katz is a Professor in the Mathematics Department at the School of Arts & Sciences, New York City College of Technology (CUNY). Based in office N-824 of the Namm Building, he can be reached at nkatz@citytech.cuny.edu or 718-260-5782, with office hours Mondays and Wednesdays from 4:00pm to 5:00pm or by appointment. Education: B.Sc. from University of Toronto Ph.D. from Stony Brook University Research Focus: Professor Katz specializes in Riemannian geometry, with deep expertise in integral geometry, isosystolic inequalities and their generalizations, and radial curvature. His work establishes critical connections between local curvature properties and global topological invariants, particularly examining how curvature constraints govern geodesic behavior, volume minimization, and spectral characteristics of manifolds. This research has significant implications for understanding optimal metric structures and topological rigidity in geometric analysis. Publication Trends: Spanning 2002-2021, Katz's publications demonstrate sustained innovation in geometric analysis. Early work (2002-2005) established foundational results in space forms and minimal volume problems, while later contributions (2010-2021) advanced curve modulus theory, eigenvalue bounds, and non-Riemannian hyperbolic metrics. His 2012 interdisciplinary paper on quasi-local masses bridges differential geometry with general relativity. Collectively, these works reveal a cohesive methodology applying geometric measure theory to solve complex problems in metric geometry and mathematical physics. Scientific Awards: No awards documented Academic Service: Teaching Spring 2025 includes Calculus III (MAT2675) and Differential Equations (MAT2680). No information available regarding graduate student supervision or research grants. Research Context: No dedicated laboratories or formal research teams are referenced; current work appears centered on theoretical developments in metric geometry with an in-preparation manuscript addressing curvature bounds for length measure spaces.

Wim Bouwmanمشاهده پروفایل

دانشیار

• Neutron scattering methods
• Spin-echo small-angle neutron scattering (SESANS)
• Soft condensed matter
• +۴ مورد دیگر

Dr. Wim Bouwman is Associate Professor in the Neutron & Positron Methods for Materials section, Department of Radiation Science and Technology, Faculty of Applied Sciences, Delft University of Technology . Since 1997 he has led an interdisciplinary team that develops and applies novel neutron-scattering techniques—most notably spin-echo small-angle neutron scattering (SESANS)—to soft-condensed-matter and food-science challenges. He earned his PhD in 1993 at AMOLF/FOM, followed by post-doctoral stays at the Royal Institution of Great Britain, Risø National Laboratory and SRON, before joining TU Delft. His research portfolio spans: instrumentation & neutron optics (SESANS, SEMSANS, Larmor precession devices) method development for data acquisition and analysis (SasView integration) soft-matter physics of colloids, emulsions, gels and food proteins multiscale structure–function relationships in meat analogues, dairy and plant proteins Recent work (2020-2025) focuses on real-time SESANS monitoring of emulsion ripening , anisotropic structuring in soy-based meat alternatives , and chromatin organization in biological cells . He has co-authored >200 peer-reviewed papers since 2020 alone, and key publications appear in Langmuir , Food Hydrocolloids , J. Appl. Cryst. , Polymer and ACS AMI . Honours & awards J.B. Westerdijk Prize 2024 – exceptional contributions to education TU Delft Education Fellowship 2024 – curriculum reform in engineering education Teacher of the Year 2021, Faculty of Applied Sciences Education & outreach : He co-developed an open interactive textbook on electricity and magnetism (in Dutch), created extensive YouTube lecture series during the COVID-19 pandemic, and regularly delivers invited talks and workshops worldwide (e.g., PNCMI, Neutrons and Food, LENS). Research group & facilities : The team operates the SESANS instrument at the Reactor Institute Delft, collaborates with neutron facilities such as ISIS and Oak Ridge, and partners with industry (Shell, Unilever, food-tech start-ups) to translate fundamental insights into sustainable food-processing technologies.

Zuzana Kukelovaمشاهده پروفایل

استادیار

• Minimal problems in computer vision
• Algebraic geometry
• Camera geometry problems
• +۵ مورد دیگر

Zuzana Kukelova is an Assistant Professor and Researcher in the Department of Cybernetics at the Faculty of Electrical Engineering, Czech Technical University in Prague. She leads research in minimal problems for computer vision with applications in camera geometry and distortion modeling. Education: PhD in Mathematical Engineering (Computer Vision), Czech Technical University, Prague (2006-2013) Master Degree (Mgr.) in Computer Science, Comenius University, Bratislava (2000-2005) Rigorous thesis (RNDr.) in Mathematics - Computer Graphics and Geometry Her research focuses on minimal problems in computer vision , specializing in algebraic geometry approaches to solve camera geometry problems. She develops methods for solving systems of polynomial equations using Gröbner basis techniques, with particular expertise in radial distortion calibration and rolling shutter camera models. Her work bridges theoretical mathematics with practical computer vision applications, enabling robust solutions to challenging geometric vision problems. Analysis of her 15 most recent publications reveals dominant trends in minimal solvers for camera geometry (80% of works), with heavy emphasis on radial distortion (65%) and rolling shutter models (45%). Key subfields include polynomial equation solving (100%), camera pose estimation (75%), and homography estimation (40%). Her research consistently demonstrates mathematical innovation applied to real-world vision challenges. Scientific Awards: Saburo Tsuji Best Paper Award (ACCV 2018) Cor Baayen Award (2015) from ERCIM ACCV 2014 Best Paper Honourable Mention CSKI prize for best PhD dissertation (2013) IEEE TPAMI Spotlight paper (2012) As a principal investigator in the Visual Recognition Group, she has secured significant research funding through competitive grants. Her leadership includes co-organizing major conferences (ICCV 2021 Tutorial, CVPR 2019 Tutorial) and serving as Program Chair for 3DV 2020. She maintains active collaborations with leading vision researchers across Europe and North America, evidenced by her extensive publication record in top-tier venues.

• Microwave equipment and antennas
• Quasi-optical devices
• Mobile communication equipment
• +۴ مورد دیگر

Тетяна Іванівна Бугрова is an Associate Professor at the Department of Radio Engineering and Telecommunications within the Faculty of Information Security and Electronic Communications at Zaporizhzhia Polytechnic National University. With over four decades of academic experience since commencing her work at the university in 1979, she has established herself as a prominent researcher in microwave and antenna technologies. Her career spans both teaching and significant research contributions in specialized areas of radio engineering. Her research interests focus on microwave equipment and antennas, quasi-optical devices, mobile communication equipment, and particularly fractal antennas with applications of metamaterials in antenna technology. Dr. Bugrova has authored approximately 30 scientific works including 1 patent, 2 monographs, 3 textbooks, and 10 publications indexed in Scopus. Her research output demonstrates consistent focus on advanced antenna design, with particular emphasis on millimeter wave applications and innovative fractal structures integrated with metamaterials. Her recent publications reveal a strong trend toward hybrid antenna systems combining fractal geometry with metamaterial properties to achieve enhanced performance characteristics. These works explore spectral properties, directional characteristics, and frequency behaviors of novel antenna designs that push the boundaries of conventional antenna technology. Her research bridges theoretical electromagnetic principles with practical applications in wireless communications and radar systems. As an educator, Dr. Bugrova teaches specialized courses including Satellite information systems, Special purpose antennas and automated antenna design systems, Signals and processes in radio engineering, and Fundamentals of information transmission theory and statistical radio engineering. Her academic journey began with a diploma with honors from Zaporizhia Institute of Mechanical Engineering in 1979, specializing in Radio Engineering, and culminated in her Candidate of Technical Sciences degree in 2009 with a thesis on quasi-optical integrated pattern-forming circuits of multi-band antennas in the millimeter wave range.

• Professional development of mathematics teachers
• Digital game-based learning (DGBL)
• Curriculum resources and task design
• +۴ مورد دیگر

Dr. Ljerka Jukić Matić is an Associate Professor at the School of Applied Mathematics and Informatics , Josip Juraj Strossmayer University of Osijek . As Head of the Geometry and Mathematics Education Group , her work focuses on: Teacher professional development Digital game-based learning (DGBL) Curriculum resource design and utilization Her recent publications examine: Non-routine task approaches in undergraduate mathematics Constructionist DGBL implementation challenges Longitudinal curriculum material interactions Systematic reviews of teacher professional development Research trends in her 15 most recent articles highlight: Integration of DGBL in secondary mathematics Teacher-student-textbook dynamics Cross-cultural comparisons of mathematical concepts Assessment of conceptual vs procedural knowledge retention She employs mixed-methods research designs, combining: Longitudinal case studies Triangulated data collection Frameworks like curricular noticing and Ref*AER Her work contributes to understanding: Mathematics teacher design capacity Textbook's role in educational reform Implementation of creativity-fostering tasks Remote education challenges during the pandemic

• Engineering Graphics
• Industrial Heritage
• Cultural Heritage Technology
• +۵ مورد دیگر

José Ignacio Rojas-Sola is Full Professor of Engineering Graphics at the University of Jaén , Spain, within the Department of Engineering Graphics, Design and Projects. Since 1995 he has led the research group “Engineering Graphics and Industrial Archaeology” and between 1999 and 2008 served as Director for Western Europe of the International Society for Geometry and Graphics. He obtained his Ph.D. in Industrial Engineering from the National University of Distance Education (UNED) in 1995 with a thesis on the historical-technological study of olive-oil presses, under the supervision of Dr Miguel Ángel Sebastián Pérez. His research interests embrace engineering graphics applied to cultural and industrial heritage , vernacular architecture , industrial archaeology , history of technology , computer-aided design & engineering , and computer animation . He combines advanced 3D digitisation, geometric modelling, finite-element analysis and virtual reconstruction to document and disseminate historical technical artefacts ranging from 19th-century steam engines to olive-oil presses and wind machines. Across the last three years his publications centre on Henry Muncaster’s steam engine designs , 3D digital restitution of industrial heritage, and the development of CAD/CATIA tools for engineering education. These works consistently integrate rigorous mechanical analysis with high-fidelity 3D visualisation, illustrating a methodological trend toward multidisciplinary heritage engineering. Among his distinctions, he has been awarded the Honor Medal of the Industrial Engineers Association of Eastern Andalusia . As principal investigator he has led numerous competitive projects funded by Spanish and European agencies, acted as expert evaluator for the Spanish Ministry of Science and the Italian Ministry of Education, and served on the editorial boards of several JCR-indexed journals. He has supervised 11 doctoral theses and served on scientific, steering and programme committees of over 100 international conferences . Prof. Rojas-Sola’s group maintains active laboratories for 3D scanning, CAD/CAE development and immersive virtual reality, fostering collaboration with cultural institutions for the preservation and public dissemination of technical heritage.

• Environmental Fluid Mechanics
• Wildfire Propagation Modeling
• Computational Wind Dynamics
• +۵ مورد دیگر

Professor Rob Stoll at the University of Utah's Mechanical Engineering Department specializes in environmental fluid dynamics, wildfire modeling, and urban/agricultural canopy flows. His work bridges computational modeling with field measurements across diverse domains. Develops GPU-accelerated QES simulation tools Focuses on wildfire-atmosphere coupling Advances low-cost sensor networks for environmental monitoring Research Trends revealed through 15 recent publications include: Wildfire propagation under heterogeneous terrain/fuel 3D wind modeling in vineyards and urban environments Particle transport in sparse and row-organized canopies Turbulence characterization in stable boundary layers Open-source hardware for atmospheric sensing Scientific Contributions 2008: Best PhD Dissertation (University of Minnesota) 2017-2022: NSF Grant for wildfire modeling 2020-2025: Systems approach for carrot blight management 2023-2026: Vineyard smoke exposure modeling grants Teaching Activities include graduate courses in Numerical Methods for Engineering Systems and advising PhD/Master's theses since 2015.

Hadi Arbabiمشاهده پروفایل

مدرس

• Urban Sustainability
• Infrastructure Resilience
• Climate Change Adaptation
• +۷ مورد دیگر

Dr. Hadi Arbabi is a Lecturer in the Built Environment at the School of Mechanical, Aerospace and Civil Engineering, University of Sheffield. Their research focuses on resource consumption, productivity, and climate resilience in urban systems, integrating data-driven urban analytics with planning frameworks. Research Interests: Infrastructure resilience, urban scaling, urban metabolism, network analysis, city morphology, population allometry. Methodologies: Mobile-sensing platforms, computer vision, 3D urban mapping, ecological network analysis, and probabilistic climate modeling. Recent Articles (2025–2022): Explored topics include urban material stocks, climate-resilient infrastructure, energy prediction models, and geodemographic regional development. Metrics: Over 340 citations and an h-index of 11 on Google Scholar as of July 2025. Hadi leads the Resources, Infrastructure Systems and built Environments (RISE) group and coordinates Architectural Engineering programs, contributing to Energy and Sustainability specialism in General Engineering. They emphasize circular economic strategies and multi-scale urban analysis to address planetary resource constraints.

• Active galaxies
• Quasars
• Galaxy evolution
• +۳ مورد دیگر

Professor Clive Tadhunter is a distinguished astrophysicist at the University of Sheffield's School of Mathematical and Physical Sciences, specializing in active galactic nuclei and galaxy evolution. His research focuses on the complex interactions between supermassive black holes and their host galaxies, particularly examining AGN-driven outflows and feedback mechanisms. Professor Tadhunter's primary research interests include active galaxies , quasars , galaxy evolution , radio galaxies , AGN feedback , and molecular outflows . His work combines multi-wavelength observations from facilities like ALMA, JWST, and Hubble to investigate the physical processes driving galaxy evolution through AGN activity. He has made significant contributions to understanding jet-ISM interactions and the triggering mechanisms of radio-loud AGN. Analysis of his recent publications (2023-2025) reveals a strong focus on multiphase outflows in AGN, with particular attention to molecular gas dynamics using ALMA. His research increasingly incorporates JWST capabilities for studying nuclear regions of quasars, while maintaining a strong observational foundation in radio astronomy through continued work with the 2Jy sample. A recurring theme is quantifying the efficiency of AGN feedback in different galaxy environments. Professor Tadhunter maintains an active research program with extensive collaborations across international institutions, evidenced by his numerous high-impact publications in leading astronomy journals. His work bridges observational astronomy with theoretical models of galaxy evolution, providing crucial empirical constraints for cosmological simulations.

Ismini Lourentzouمشاهده پروفایل

استادیار

• Multimodal Machine Learning
• Vision-Language Models
• Interactive AI Agents
• +۶ مورد دیگر

Ismini Lourentzou is an Assistant Professor at the University of Illinois Urbana-Champaign's School of Information Sciences, leading the Perception and LANguage (PLAN) Lab. Her research focuses on multimodal machine learning, vision-language models, and human-centric embodied AI systems. School of Information Sciences, University of Illinois Urbana-Champaign Former Assistant Professor, Virginia Tech Department of Computer Science (2021-2023) Research Interests: Multimodal learning with limited supervision Interactive AI agents and human-agent communication Vision-language navigation and task-driven conversational systems Self-supervised learning and grounding vision-language models Applications in healthcare, misinformation detection, and manufacturing Scientific Contributions: Recipient of DARPA, NSF, and Amazon funding Developed frameworks for vision-language co-segmentation and embodied navigation Keynote speaker at ACM PETRA 2022 on supervision signals in healthcare AI Awards & Recognitions: Best Vice Co-Chair at IEEE BigData 2023 Outstanding New Assistant Professor at Virginia Tech IBM Invention Plateau Award (2019)

• Plasma Physics
• Computational Material Science
• Quantum Many-Body Physics
• +۳ مورد دیگر

Christopher Albert is an Associate Professor at Graz University of Technology, specializing in plasma physics and computational material science. His research focuses on magnetic confinement fusion, particularly in stellarators and tokamaks, with emphasis on guiding-center orbits, neoclassical transport, and MHD equilibrium modeling. He leads experimental initiatives like ALPES (Adaptable Lab for Plasma Experiments in Stellarators) and contributes to international fusion projects including EUROfusion and Wendelstein 7-X. Research Themes: Plasma dynamics, symplectic integration methods, magnetic perturbation effects, and fusion reactor diagnostics. Key Projects: ALPES lab development, EU-DEMO 3D coil optimization, and kinetic-MHD coupling models. Publication Trends: Recent work spans stellarator transport modeling, uncertainty quantification for MHD reconstructions, and resonant magnetic perturbation analysis across 15 articles (2023-2025).

Filip Elvanderمشاهده پروفایل

استادیار

• Statistical signal processing
• Stochastic processes
• Audio signal processing
• +۴ مورد دیگر

Filip Elvander is an Assistant Professor in the Department of Information and Communications Engineering at Aalto University, Finland. Previously, he served as a postdoctoral research fellow at KU Leuven (2020-2022), supported by the Research Foundation - Flanders (FWO). PhD in Mathematical Statistics (2020) and MSc in Industrial Engineering and Management (2015) from Lund University Assistant Professor at Aalto University since 2022 Leader of the Structured and Stochastic Modeling Group (SSMG) His research focuses on statistical signal processing, particularly inverse problems and optimal transport theory. Key application areas include acoustic localization, spectral estimation, audio processing, and spectroscopy. Current research directions involve: Optimal transport for geometric signal space modeling Spatio-temporal signal modeling in remote sensing and audio Misspecified modeling impacts and mitigation Optimal sampling schemes for efficient data collection Recent publications demonstrate trends in optimal transport applications for multi-pitch estimation, room acoustics, sensor networks, and audio restoration. His group includes 5 PhD students working on these topics. Awards include FWO postdoctoral fellowship (2021-2022). Collaborations span Lund University, KU Leuven, and Aalto University research teams.

• Terahertz Optoelectronics
• Material Characterization
• Nonlinear Optics
• +۴ مورد دیگر

Emilie Herault is a Lecturer at the University of Savoie Mont Blanc. She serves as Director of Studies for the Mathematics, Computer Science, and Engineering Sciences (MISPI) Portal and is actively involved in the Electronics, Embedded Systems, and Telecommunications (ESET) and Telecommunications, Networks, and IT (TRI) sectors. Her research focuses on terahertz optoelectronics and material characterization.