جست‌وجوی استاد و پژوهشگر

Burdette Barkerمشاهده پروفایل

استادیار

• Irrigation Engineering
• Water Resources Management
• Remote Sensing in Agriculture
• +۳ مورد دیگر

Burdette Barker serves as Assistant Professor and Extension Irrigation Specialist at Utah State University , specifically within the Department of Civil and Environmental Engineering. His work spans agricultural, small farm, and landscape irrigation management across the Western United States. PhD in Biological Engineering (2017, University of Nebraska-Lincoln) MS in Irrigation Engineering (2011, Utah State University) BS in Biological Engineering (2009, Utah State University) Research focuses on crop water use , irrigation losses , flow measurement , and irrigation system performance . His work integrates remote sensing , soil moisture monitoring , and precision irrigation technologies to optimize water use in arid environments. Recent publications emphasize high-throughput phenotyping , center pivot maintenance , and saline soil management , reflecting his expertise in both technical and applied aspects of irrigation engineering. Outstanding Graduate Mentor (2025, Utah State University) Presidential Fellowship (2016, University of Nebraska-Lincoln) Second Place Graduate Poster (2015, Nebraska Water Center) Barker mentors graduate students in Civil & Environmental Engineering , including Maziyar Vaez-Roudbari and Namuna Dhakal . He contributes to extension programs like Quantifying Field Irrigation Performance (2022–Ongoing) and Irrigation Technology Decision Support (2023–Ongoing).

François Pirotمشاهده پروفایل

دانشیار

• Graph Theory
• Combinatorics
• Probabilistic Method
• +۴ مورد دیگر

François Pirot is an Associate Professor (Maître de Conférences) at Université Paris-Saclay since September 1, 2021. He conducts research at the LISN laboratory within the GALaC team and teaches at the Faculty of Science of Orsay. PhD in Mathematics (Radboud University) and Computer Sciences (Université de Lorraine), 2019 Postdoctoral experience: ULB (2019), G-SCOP (2019-2020), Inria Sophia Antipolis (2020-2021) His research focuses on graph coloring problems in diverse contexts such as graph powers, locally sparse graphs, and distributed algorithms, utilizing probabilistic methods and connections to bio-informatics through circular codes. He has advanced bounds for h -conflict-free coloring, acyclic coloring, and dichromatic numbers in oriented graphs, with applications to minor-closed families and geometric group theory. Scientific contributions include: Asymptotically tight bounds for chromatic numbers in sparse graphs Efficient fractional coloring algorithms for K_t-minor-free graphs Structural analysis of comma-free and mixed circular codes in genetic alphabets Charles Delorme Prize for outstanding thesis in Graph Theory (2019) Collaborations span institutions like ULB, G-SCOP, Inria, and cross-disciplinary fields from computer science to mathematical biology.

Simon Kristensenمشاهده پروفایل

استاد

• Number Theory
• Diophantine Approximation
• Dynamical Systems
• +۴ مورد دیگر

Simon Kristensen is a Professor in the Department of Mathematics at the University of Aarhus, Denmark. His primary research focuses on Number Theory, particularly Diophantine approximation, dynamical systems, and fractal geometry, with interdisciplinary connections to physics, signal processing, and wireless communication. Key Affiliation: Department of Mathematics, University of Aarhus Research Themes: Quantitative rational approximation, resonance phenomena, metric theory, and applications to dynamical systems. Selected Publications reflect his expertise in p-adic Diophantine approximation, BBP-type formulas, and metrical theorems on affine forms. His work bridges classical number theory with modern applications. Conference Participation: Palanga Conference (2013), Journées Arithmetiques (2011, 2013), Arctic Number Theory Workshop (2013), and collaborations with institutions like the University of Bristol and NUI Maynooth.

Terence Chi-Shen Taoمشاهده پروفایل

استاد

• Harmonic analysis
• Partial differential equations
• Algebraic combinatorics
• +۵ مورد دیگر

Terence Tao is an Australian-American mathematician and professor of mathematics at the University of California, Los Angeles (UCLA), where he holds the James and Carol Collins Chair in the College of Letters and Sciences. Widely regarded as one of the greatest living mathematicians, Tao has received numerous prestigious awards including the Fields Medal, the Breakthrough Prize in Mathematics, and the MacArthur Fellowship. Dr. Tao's educational background includes: Bachelor's and Master's degrees from Flinders University (1991) Ph.D. from Princeton University (1996) under Elias M. Stein Tao's research spans an extraordinary breadth of mathematical fields. He is particularly known for his work in harmonic analysis, partial differential equations, combinatorics, and analytic number theory. His research has included groundbreaking contributions to compressed sensing, the Green-Tao theorem on arithmetic progressions in prime numbers, and progress on the Navier-Stokes equations. Tao is renowned for his collaborative approach, having worked with over 60 co-authors throughout his career. Tao's publications demonstrate remarkable diversity across mathematical disciplines. His work shows strong trends in connecting seemingly disparate areas of mathematics, often bringing techniques from one field to solve problems in another. He has made significant contributions to both theoretical and applied mathematics, with applications ranging from signal processing to number theory. Among his numerous scientific achievements, Tao has received: Fields Medal (2006) Breakthrough Prize in Mathematics (2014) Royal Medal (2014) MacArthur Fellowship (2006) Crafoord Prize (2012) Princess of Asturias Award (2020) Tao has mentored numerous students throughout his career, with Monica Vișan among his doctoral students. He has secured significant research funding through prestigious awards including the Packard Fellowship, Sloan Fellowship, and Simons Investigator award. His collaborative research has been supported by multiple National Science Foundation grants. Tao maintains an active research group at UCLA and frequently collaborates with mathematicians worldwide. His blog and public lectures have made advanced mathematical concepts accessible to broader audiences, demonstrating his commitment to mathematical education and outreach.

Ludmila Pöppelمشاهده پروفایل

استاد

• Discourse Analysis
• Lexical Semantics
• Lexicography
• +۴ مورد دیگر

Ludmila Pöppel is a Professor at Stockholm University , affiliated with the Department of Slavic and Baltic Languages, Finnish, Dutch and German . Her research focuses on discourse analysis , lexical semantics , phraseology , and corpus linguistics , often intersecting with political discourse and construction grammar . Research Themes: Analyzing near-synonyms in Russian (e.g., беспорядки vs. волнения), combinatorial properties of words, and semantic shifts in political terminology like революция (revolution) vs. переворот (coup). Key Projects: Leadership in the TELICORE collaboration between Stockholm University, Higher School of Economics (Russia), and Ilia State University (Georgia), and contributions to the Russian-Swedish dictionary database for discursive units. Publications: Her work spans corpus-driven studies of Russian constructions (e.g., дело в том, что, то-то и N), their cross-linguistic parallels, and the pragmatic functions of focus particles. She emphasizes empirical data from Sketch Engine and the Russian National Corpus to identify language-specific features. Advising: Supervises doctoral students and numerous undergraduate and master's theses, integrating her research on political discourse into teaching at all levels, including courses on corpus linguistics and lexical semantics . Labs/Networks: Member of the Language and Power Network , analyzing how language shapes political narratives in polarized climates.

Edward A Dauerمشاهده پروفایل

استاد بالینی

• Biomedical Engineering
• Tissue Engineering
• Civil Engineering
• +۷ مورد دیگر

Edward A Dauer is a Clinical Professor in the Department of Biomedical Engineering at the College of Engineering, University of Miami. His work spans biomedical and civil engineering disciplines, focusing on biomaterials development and material science applications. Biomedical Engineering: Scaffold design for immunomodulation and peripheral nerve repair Civil Engineering: Protein-modified biocementation and nanoparticle-reinforced construction materials His research in biomedical engineering includes 3D scaffold fabrication for fibroblastic reticular cell maintenance and autoimmune therapy, while environmental applications involve electrohydromodulation for phosphate recovery. Material science work covers Kevlar composites and Polyurethane scaffold characterization, with biocementation studies analyzing protein effects on calcium carbonate precipitation. Publication trends show expertise in interdisciplinary material design , with articles covering topics from diabetogenic T cell modulation to bioremediation and composite durability . Key methodologies include scaffold fabrication, electrochemical recovery systems, and microstructural analysis across biological and civil engineering applications.

Vesna Dimitrievska Ristovskaمشاهده پروفایل

استاد

• Mathematics
• Informatics
• Numerical Methods
• +۷ مورد دیگر

Vesna Dimitrievska Ristovska is a Professor at the Faculty of Computer Science and Engineering (FINKI), Ss. Cyril and Methodius University in Skopje. She earned her B.Sc. in Informatics in 1996, M.Sc. in Mathematics with a thesis on quantitative measures for uniform distribution of sequences in 2007, and Ph.D. in 2013 with a dissertation on quasi-Monte Carlo integration and diaphony. Her academic career began at the Institute of Informatics, PMF, where she held roles as associate (1996) and teaching assistant (1999), later advancing to her current position. Education : B.Sc. in Informatics, Faculty of Natural Sciences and Mathematics, UKIM (1996) M.Sc. in Mathematics, University Neofit Rilski, Bulgaria (2007) Ph.D. in Computer Science and Engineering, FINKI, UKIM (2013) Her research focuses on computational mathematics , particularly quasi-Monte Carlo integration , weighted Hilbert spaces , and mathematical modeling . She has contributed to projects, published scientific papers, and presented at conferences in domestic and international venues. Over her career, she has taught foundational courses in programming, numerical methods, calculus, databases, and operating systems. Her work bridges theoretical mathematics with practical software implementation, emphasizing algorithm optimization and mathematical analysis.

• Operating Systems
• Parallel Computing
• Scheduling in Parallel Systems
• +۳ مورد دیگر

Ioannis Venetis is an Assistant Professor at the University of Piraeus, School of Information and Communication Technologies, Department of Informatics, specializing in Operating Systems and Parallel Computing. He earned his PhD from the Department of Computer Engineering and Informatics at the University of Patras. His research spans programming models for parallel systems, scheduling optimization, and applications in computational neuroscience and seismology. Research Interests Operating Systems Parallel Computing Scheduling Algorithms High-Performance Computing Computational Neuroscience Seismology Projects Participation in European and national research programs Development of Gisola (GPU-accelerated seismic inversion tool) His teaching portfolio includes courses like Operating Systems, Parallel Processing, and Symbolic Programming. Articles highlight expertise in GPU acceleration, tridiagonal solvers, sensor networks, and many-core architectures. Notable contributions include work on Chimera states in neuronal dynamics and hierarchical workload scheduling frameworks.

Tobias Schrippمشاهده پروفایل

پژوهشگر

• Emission measurements
• Air quality
• Sustainable aviation fuels
• +۴ مورد دیگر

Dr. Tobias Schripp is a Scientist/Team Leader at the ZHAW School of Engineering 's Meteorology and Air Transport division since March 2024. Previously, he worked at the German Aerospace Center (DLR) 's Institute of Combustion Technology (2016-2024) and Fraunhofer WKI (2006-2016). His research focuses on sustainable aviation fuels , aircraft engine emissions , and climate impacts of contrails through projects like Understanding Non-CO2 Impact for deCarbonized aviation and Renewable Fuels and Chemicals for Switzerland . Key Research Areas : Emission measurements, air quality, sustainable aviation fuels, contrail climate forcing, particle characterization, atmospheric pollution Methodologies : Chamber studies, field measurements, computational modeling (CoCiP), emission test cells His 2025-2024 publications analyze SAF blending effects on aircraft emissions and contrail properties, showing significant reductions in nonvolatile particulate matter (−52%) and contrail radiative forcing (−44%). Recent work demonstrates that targeted SAF deployment on flights with warming contrails can multiply climate benefits by 9–15 times compared to uniform distribution. Network Affiliations : Society for Aerosol Research (GAeF) ORCID: 0000-0002-1594-7331

• Natural Language Processing
• Generative AI
• Social Computing
• +۵ مورد دیگر

Cagri Toraman is an Assistant Professor at Middle East Technical University's Computer Engineering Department, leading the Applied NLP Group. He holds a PhD in Computer Science from Bilkent University (2017) and has industry experience as Software Engineer (Havelsan 2017-2018), Postdoctoral Research Scientist (University of Central Florida 2018-2019), and NLP Team Lead (Aselsan 2020-2023). PhD in Computer Science (Bilkent University, 2017) Postdoctoral Research Scientist (University of Central Florida, 2018-2019) NLP Team Lead (Aselsan, 2020-2023) His research focuses on Natural Language Processing , Generative AI , and Social Computing , with particular emphasis on low-resource language adaptation, hate speech detection, multimodal analysis, and misinformation identification. Recent work examines dataset quality evaluation, transformer optimization with tweet-specific elements, and pejorative language disambiguation for misogyny detection. Notable achievements include receiving the Google Gemma Academic Research Award 2024 . He teaches core courses in Data Structures and Applied Natural Language Processing , emphasizing both theoretical foundations and practical implementation. Research trends show expertise across: Multilingual dataset creation (MiDe22, JL-Hate) Transformer-based hate speech detection Generative AI adaptation for Turkish Ensemble learning in socio-political event extraction Contextual word embeddings analysis Conversational system robustness

Adam Kanigowskiمشاهده پروفایل

دانشیار

• Dynamical Systems
• Ergodic Theory
• Smooth Flows
• +۴ مورد دیگر

Adam Kanigowski is an Associate Professor in the Mathematics Department at the University of Maryland. His research focuses on dynamical systems, particularly smooth flows, spectral theory, and mixing properties. Key Research Areas: Ergodic theory, parabolic systems, area-preserving flows, and spectral analysis. Publication Trends: Recent work examines chaotic properties of smooth systems, multiple mixing phenomena, and spectral singularities across surfaces of varying genus. Articles also address arithmetic applications, including prime number theorems for skew products. Technical Themes: Rigidity, slow entropy, Fourier uniformity, and the interplay between deterministic sequences and dynamical systems.

Kristen Donnellمشاهده پروفایل

دانشیار

• Microwave Nondestructive Testing
• Thermography
• Frequency Selective Surfaces
• +۳ مورد دیگر

Kristen Donnell serves as an Associate Professor in the Department of Electrical and Computer Engineering at Missouri University of Science and Technology (Missouri S&T), where she holds the Woodard Associate Professor of Excellence title. She concurrently directs the Microwave Sensing (mSense) Laboratory and serves as Interim Director of the Center for Infrastructure Engineering Studies (CIES). Her academic appointments are exclusively at Missouri S&T, with no cross-appointments at other institutions. Her research spans microwave nondestructive testing, thermography, and frequency selective surfaces with applications in structural health monitoring and materials characterization. Dr. Donnell specializes in active microwave thermography for defect detection in composites, concrete structures, and additively manufactured components. Her work integrates electromagnetic theory with thermal imaging to develop novel sensing methodologies for infrastructure assessment. Analysis of her recent publications reveals a strong focus on advancing frequency selective surface (FSS) technologies for embedded sensing applications, microwave-based quality assessment of additively manufactured parts, and thermographic signal processing techniques. Her research demonstrates consistent innovation in microwave-millimeter wave nondestructive evaluation methods with practical applications in transportation infrastructure and composite materials. Scientific Awards and Recognition: Woodard Associate Professor of Excellence Senior Member of IEEE Active member of IEEE Instrumentation and Measurement Society Administrative Committee Dr. Donnell maintains significant leadership in professional organizations, having served in multiple appointed and elected roles within the IEEE Instrumentation and Measurement Society since 2007. Her research program bridges academic inquiry with practical infrastructure applications through collaborations with the Missouri Department of Transportation (MoDOT) and industry partners. She previously contributed to engineering development at Raytheon Company before pursuing her academic career. Her laboratory work focuses on the Microwave Sensing (mSense) Laboratory, which specializes in developing microwave and thermographic techniques for structural health monitoring. Current projects emphasize embedded sensing systems for infrastructure assessment and advanced characterization of additively manufactured components using microwave methods.

• Microfluidics
• Thin Film Physics
• Surface and Interfacial Properties
• +۳ مورد دیگر

Yoshito Nozaki serves as an Assistant Professor (Junior Researcher) at Waseda University's Research Organization for Nano & Life Innovation since 2015, currently holding this position as of 2023. His work bridges microfluidics, thin film physics, and nano/micro-systems with applications in chemical synthesis and materials science. His research focuses on advanced microfluidic systems for precise droplet generation, enabling breakthroughs in chemical synthesis, organic reactions, and microreactor design. Key innovations include 3D microchannel architectures for sub-10μm droplet production, tail-breakup mechanisms for single-micron droplets, and organic solvent-compatible devices. His work demonstrates significant reductions in reagent consumption, reaction times, and byproducts compared to conventional methods. Analysis of his 13 publications (2016-2021) reveals consistent focus on droplet manipulation physics and thin film magnetic materials . The publications show strong international collaboration (Scopus h-index: 5) with primary emphasis on experimental device fabrication and fluidic characterization. His most impactful work involves microdroplet-based azo compound synthesis achieving 900x faster reaction times and 10x lower reagent concentrations. Professional memberships include: Japan Society of Applied Physics (2014-present) Surface Science Society of Japan (2013-present) His laboratory within the Research Organization for Nano & Life Innovation specializes in microfabrication techniques including soft lithography, focused ion beam machining, and silicon/glass device integration. Current projects emphasize chemical applications of microdroplets and magnetic thin film development for next-generation electronic devices.

Farzad Vazinramمشاهده پروفایل

پژوهشگر

• Deep Learning
• Energy Systems
• Optimization
• +۵ مورد دیگر

Dr. Farzad Vazinram is a Postdoc Researcher in the Data Management and Biometrics Group at the University of Twente's Faculty of Electrical Engineering, Mathematics, and Computer Science. With a background in Electrical Engineering (Power Systems) and a second M.Sc. in Smart Systems Engineering, he combines industrial experience from CATERPILLAR and Grid Management Company with academic expertise in Scalable Energy-efficient Deep Learning through the MISD project. B.Sc., M.Sc., Ph.D. in Electrical Engineering 2025 Cum Laude M.Sc. award recipient Research Interests span multiple domains: Deep Learning : Energy-efficient training methods, weight transfer optimization Energy Systems : Microgrid modeling, combined gas-electricity networks Optimization : Power flow calculations, anomaly detection algorithms Smart Systems : Data-driven approaches for grid efficiency Recent publications (2025) demonstrate 40% energy consumption reduction in neural network training while maintaining accuracy. His work aligns with UN Sustainable Development Goals for Education and Clean Energy through technical innovations in grid optimization and AI efficiency. Scientific Recognition : Cum Laude award for M.Sc. research (2024) Scopus-indexed publications with 17 citations Active in academic service as a peer-review editor for the 21st International Conference on Artificial Intelligence Applications and Innovations (2025).

Joanna Wołoszynمشاهده پروفایل

استادیار

• Magnetic Field Analysis
• Ferromagnetic Objects
• Wavelet Analysis
• +۵ مورد دیگر

Dr. Joanna Wołoszyn is an Assistant Professor at the Department of Electrical Engineering within the Faculty of Electrical and Control Engineering at Gdańsk University of Technology. She earned her doctoral degree (dr inż.) in Electrical Engineering from the same institution in 2001. Her office is located in Room 113 of the faculty building, and she can be contacted via email at joawolos@pg.edu.pl or phone at +48 58 347 1691. Her research focuses on electromagnetic phenomena with specialized applications: Magnetic field analysis of ferromagnetic objects and naval systems Wavelet transforms for biomedical diagnostics and brain spirography Magnetic signature reduction and degaussing techniques for ships Development of educational tools for electrical circuit analysis Numerical simulations using finite element methods (MES/OPERA 3D) Electromagnetic coil design and optimization Her publications demonstrate consistent focus on electromagnetic applications in naval engineering and measurement systems, with recent work (2023) introducing decomposition methods for degaussing optimization and earlier contributions (2016) on educational software development. The research consistently employs advanced computational modeling across electromagnetic systems. She has been recognized with 3 scientific achievements though specific awards are not detailed. Teaching forms a significant part of her profile, with development of the SMATH-based circuit analysis tool and instruction of 65 courses in electrical engineering.