جست‌وجوی استاد و پژوهشگر

Carlos Tralleroمشاهده پروفایل

استاد

• Attosecond science
• Strong field molecular spectroscopy
• Coherent control
• +۴ مورد دیگر

Carlos Trallero is a Professor and Associate Department Head for Graduate Affairs in the Department of Physics at the University of Connecticut. He holds a Ph.D. in Physics from Stony Brook University (2007), an M.Sc. in Physics from the same institution (2004), and an M.Sc. in Nuclear Physics from the Higher Institute for Nuclear Sciences and Technology in Havana, Cuba (2001). His research focuses on attosecond science, strong field molecular spectroscopy, and ultrafast optics, with a particular emphasis on plasmonic nanoparticles, high-order harmonic generation, and coherent control. He has held academic positions at Kansas State University (2010–2017) and conducted postdoctoral research at the Steacie Institute for Molecular Sciences in Canada. His work has led to advancements in ultrafast laser technology, quantum sensing, and molecular dynamics analysis. Key contributions include studies on photoelectron emission from nanoparticles, pulse compression techniques, and the development of interferometric methods for attosecond pulse characterization. Trallero’s honors include the Lee Wilcox Prize (2007) for his experimental thesis work. His lab explores cutting-edge applications in strong-field ionization, nonlinear optics, and quantum technologies. Ongoing projects involve optimizing high-power laser systems and advancing techniques for chiral molecule analysis using 3D photoelectron momentum spectroscopy. He leads interdisciplinary collaborations in attosecond science and has secured funding from the Department of Energy for projects such as probing electron-molecule scattering via high-harmonic generation experiments. His work bridges fundamental physics with applied technologies, driving innovations in ultrafast optics and nanoscience.

• Medieval Church History
• Heresy and Inquisition
• Religious Dissidence in Late Medieval Europe
• +۷ مورد دیگر

Paweł Kras is a Professor in the Department of Source Studies, Archival Studies and History Didactics at the Institute of History within the Faculty of Humanities, John Paul II Catholic University of Lublin. His work centers on the institutional and social dimensions of religious dissent in late medieval East Central Europe, with emphasis on primary source analysis and editorial projects. Professor Kras's research explores heresy trials, inquisition mechanisms, and religious tolerance development in Poland and Bohemia. Key interests include Hussite and Wycliffite movements, beguine communities (particularly Świdnica), and Jagiellonian dynasty religious policies. His methodology integrates source criticism with socio-political contextualization, reflecting his department's focus on historical documentation practices. Recent publications reveal three dominant trends: (1) social networks enabling religious dissidence transmission, (2) vernacular text circulation as a heresy vector, and (3) identity construction of religious enemies through trial records. His work demonstrates increasing interdisciplinary engagement with sociology of religion and textual analysis while maintaining archival rigor. Scientific recognition includes: Main Award in the Competition named after Professor Jerzy Michalski (2021) Award of the Minister of Science and Higher Education for significant achievements (2020) Second Award of 'Source Studies' named after Stefan Krzysztof Kuczyński (2018) Professor Kras has served as thesis reviewer for scholars including Anna Zajchowska and Piotr Kołodziejczak. He leads major funded projects such as NCN's 'Correspondence of John Capistrano with Poles (1451-1456)' and MEiN's 'Beguines of Świdnica Interrogations', alongside international EU COST Action IS 1301 on religious transformation. His Erasmus+ scholarships support collaborative work with KU Leuven and Sarajevo University. As Editor-in-Chief of Acta Mediaevalia. Series Nova , he directs scholarly communication in Polish medieval studies. He organized the 2012 Prague conference 'Inquisition, Heresy and Reformation' and the 2023 international symposium on Świdnica beguines. His museum advisory role for the Lublin Museum's Eastern Territories section and Czech-Polish Forum membership demonstrate institutional leadership.

• Computational Linguistics
• Natural Language Processing
• Text Technology
• +۳ مورد دیگر

Yu Wang is a Lecturer at Bielefeld University's Faculty of Linguistics and Literary Studies, affiliated with the Computational Linguistics department. He is associated with the research project Monitoring the understanding of explanations under Prof. Dr. Hendrik Buschmeier, focusing on digital linguistics and text technology. While his institutional affiliation highlights computational linguistics, his Google Scholar publications reveal interdisciplinary work in optimization algorithms, graph neural networks, and machine learning applications. Research Interests: Yu Wang's work bridges computational linguistics with advanced algorithmic techniques. His publications explore Multi-objective optimization Graph neural network architectures Swarm intelligence applications Evolutionary computation methods Sparse learning systems Biologically-inspired algorithms Labs & Projects: Yu Wang contributes to the Digital Linguistics Group at Bielefeld University, specifically working on explainability monitoring in explanatory processes. His technical publications suggest collaborations with researchers in optimization and machine learning domains.

Francis Ogokeمشاهده پروفایل

استادیار

• Artificial Intelligence
• Deep Learning
• Physics-Informed Machine Learning
• +۷ مورد دیگر

Francis Ogoke is an incoming Assistant Professor in the Department of Mechanical Engineering at Carnegie Mellon University, set to begin in Fall 2025. He is currently a postdoctoral associate at the Massachusetts Institute of Technology. His academic journey includes a Ph.D. in Mechanical Engineering from Carnegie Mellon University (2024) and a B.S.E. in Chemical and Biological Engineering from Princeton University (2019). His research lies at the intersection of artificial intelligence and engineering systems, with a focus on developing foundational AI methods for complex engineering problems. Key areas include: Physics-informed deep learning Uncertainty quantification and probabilistic modeling Representation learning for generalization Applications in additive manufacturing, digital twins, and cyber-physical systems The recent articles reflect a strong trend in leveraging deep learning—especially vision transformers, generative models, and reinforcement learning—for accelerating simulations, enhancing in-situ monitoring, and improving control in additive manufacturing. His work consistently bridges AI innovation with real-world engineering challenges, particularly in metal 3D printing and multiphysics modeling. Notable scientific awards include: Presidential Fellowship in the College of Engineering, Carnegie Mellon University G.E.M. Fellowship Francis Ogoke advises emerging researchers and is expected to lead a research group focused on AI-driven engineering systems. His lab will likely focus on developing intelligent frameworks for digital twins and autonomous manufacturing. He has not yet advised any students as per current records. He is actively involved in pioneering research that integrates AI into core engineering workflows, supported by advanced computational and experimental infrastructure. He is affiliated with the College of Engineering at Carnegie Mellon University and conducts research relevant to advanced manufacturing, sensing technologies, and intelligent systems.

• Magnetic Materials
• Nanoparticle Synthesis
• Catalysis
• +۳ مورد دیگر

Anne Bleuzen is a Professor at the University of Paris-Saclay, affiliated with the Institut de Chimie Moléculaire et des Matériaux d'Orsay (ICMMO) and the LCI department. Her research focuses on magnetic materials, particularly Prussian Blue analogs, nanoparticle synthesis, and catalytic systems. She investigates structure-property relationships in materials using advanced techniques like XMCD, XANES, and spectroscopy. Her work bridges inorganic chemistry, nanotechnology, and materials science, with applications in energy storage, catalysis, and magnetic devices. Key contributions include studies on photomagnetic behavior, silica-embedded nanoparticles, and controlled synthesis of mixed oxides. She collaborates extensively with teams in catalysis, structural chemistry, and nanomaterials. Publications span over a decade, highlighting advancements in magnetic anisotropy, nanoparticle dynamics, and material characterization. Her research emphasizes interdisciplinary approaches, leveraging advanced spectroscopic methodologies to unravel complex material behaviors.

Danna Freedmanمشاهده پروفایل

استاد

• Quantum Information Science
• Materials Science
• Chemistry
• +۳ مورد دیگر

Roles and Affiliations: Danna Freedman is the Frederick George Keyes Professor of Chemistry at the Massachusetts Institute of Technology (MIT). She leads the Freedman Group, which focuses on quantum information science and high-pressure materials synthesis. Her work bridges synthetic chemistry with fundamental physics, creating molecular-based qubits and discovering novel intermetallic compounds at extreme pressures. Research Interests: Her research spans quantum technologies, materials science, and inorganic chemistry. Key areas include designing optically addressable molecular qubits, exploring spin dynamics under magnetic fields, and synthesizing emergent materials via high-pressure methods. The Freedman Group’s approach combines synthetic chemistry, spectroscopy, and computational modeling to engineer quantum systems with tailored properties. Key Contributions: Notable achievements include the discovery of FeBi₂ and Cu₃Pb through high-pressure synthesis, as well as advancements in spin-phonon coupling control for qubit stability. Recent work emphasizes ligand field design to enhance quantum coherence and modular integration of solid-state quantum systems. Labs and Teams: The Freedman Lab at MIT integrates synthetic chemistry, physics, and engineering to address grand challenges in quantum information and materials discovery. Collaborations span academia and industry, focusing on translating molecular qubit research into scalable quantum technologies.

Giulia Simoniniمشاهده پروفایل

پژوهشگر

• History of Color Science
• Natural History Illustration
• Image Science
• +۶ مورد دیگر

Giulia Simonini is a postdoctoral researcher at the Bibliotheca Hertziana - Max Planck Institute for Art History , affiliated with the research group Visualizing Science in Media Revolutions . Her academic career includes a PhD in the history of science (Technical University of Berlin, 2021) and MA in art history (Berlin and Krakow), with a BA in restoration (Bologna and Potsdam). From 2021 to 2025, she worked on the project Dimensions of Techne in the Arts at TU Berlin. Research Interests Giulia’s research explores the intersection of art and science , focusing on historical color systems, natural history illustrations, and painting techniques. She investigates how color charts, pigment experiments, and entomological illustrations shaped scientific and artistic knowledge in the early modern period. Her work bridges disciplines such as color science , art conservation , and scientific visualization . Publication Trends Her recent publications examine 18th–19th century color theories , including Newton’s color wheel, Tobias Mayer’s systems, and practical applications like painting-by-number techniques . She also analyzes the material culture of watercolor cakes and historical color standards for botany and entomology, highlighting interactions between artisans and scholars.

Nina Kerschbaumerمشاهده پروفایل

پژوهشگر ارشد

• Film Studies
• Media Studies
• Artistic Research
• +۴ مورد دیگر

Nina Kerschbaumer is an artist, filmmaker, and Research Fellow whose practice interrogates violence, media, and social structures. Affiliated with institutions including the Collegium and Istituto Svizzero, her work bridges artistic and academic disciplines. PhD in Philosophy, Academy of Fine Arts Vienna (2024) Early-Career Fellow (2025–2026) Discipline Film Fellowship (2025–2026) Her research examines the systemic nature of violence intertwined with prosperity, focusing on domestic crime as a medial phenomenon and the cultural role of the True Crime genre across indexical media. Earlier work investigated aftermaths of 1970s political violence in Italy. Current projects like Amok: Anatomy of the Normal analyze gender-specific violence (amok) in Western democracies, interrogating its relationship with white middle-class identity and social order. By appropriating early reality TV aesthetics, she creates fictional episodes that redefine 'norms' through artistic practice. 2025 Workshop: Colors of (Colonial) Chemistry (convened by Denise Bertschi) 2023 Interview: A Conversation with Sarine Waltenspül and Rahel Zimmermann Her fellowships and research positions highlight her contributions to interdisciplinary studies at the intersection of media, politics, and societal structures.

• Race and International Law
• Critical Race Theory
• Global Governance
• +۴ مورد دیگر

Bianca Freeman is a 2024-2026 UC President's Postdoctoral Fellow in the Travers Department of Political Science at UC Berkeley, specializing in race and international law. Her research critically examines how racial hierarchies shape global legal norms and state agreements through frameworks of critical race theory and international relations. Her academic foundation includes: Ph.D. in Political Science from University of California, San Diego M.A. in Political Science from University of California, San Diego M.P.P. in Public Policy from University of California, Riverside B.A. in Political Sciences from University of California, Riverside Dr. Freeman's scholarly contributions focus on the role of race in international legal structures, particularly analyzing the Responsibility to Protect doctrine through her dissertation "Under Color of (International) Law: Race and the Global Legal Order." Her work reveals systemic connections between racial hierarchy and international legal outcomes, positioning her at the forefront of critical international law scholarship. Her research has gained recognition through publications in premier journals including Annual Review of Political Science, International Studies Review, and Security Studies, demonstrating significant impact in political science and international relations fields. Key recognition: UC President's Postdoctoral Fellowship (2024-2026) Funded by her prestigious fellowship, Dr. Freeman conducts independent research while receiving mentorship from Professors Susan Hyde and Aila Matanock. Though not currently advising formal graduate students, she actively participates in UC Berkeley's academic community through research collaboration and departmental engagement. Her trajectory represents a promising pathway toward future faculty positions with potential for significant contributions to critical race studies in international law.

Alexander Wolffمشاهده پروفایل

استاد

• Graph Drawing
• Computational Geometry
• Algorithms
• +۳ مورد دیگر

Alexander Wolff is a Professor at the Chair of Algorithms and Complexity within the Institute of Computer Science at the University of Würzburg. His work focuses on graph drawing, computational geometry, and algorithmic complexity, with applications in geographic information systems and network visualization. Chair of Algorithms and Complexity, Institute of Computer Science, University of Würzburg (since 2009) Managing Director, Institute of Computer Science (2011–2013, 2015–2017) Editorial roles in journals like JoCG and JGAA Conference leadership in Graph Drawing (GD) and SOFSEM His research explores geometric graph representations, obstacle numbers, and parameterized complexity. Recent publications address level planarity, polyhedral surface adjacency, and metro map visualization. Collaborative projects include algorithmic quality assurance and interactive industrial network visualization. Wolff’s work bridges theoretical graph algorithms with practical applications, such as optimizing public transport schematics and enhancing data accessibility. He has supervised numerous PhD students and co-authored over 100 publications, with editorial and organizational roles in major computational geometry and graph drawing conferences.

Hak Sung Leeمشاهده پروفایل

استاد

• Intelligent/Learning Control
• Fractional Order System and Control
• Machine Learning

Professor Hak Sung Lee at Sejong University's Department of Intelligence and Information Convergence is a prominent researcher in control systems, machine learning, and color gamut mapping. His work bridges theoretical and applied engineering, with notable contributions to iterative learning control and real-time color correction methods. Education: Ph.D. (1996), M.S. (1991), and B.S. (1989) from KAIST. Research Interests: Focuses on intelligent control systems, fractional order systems, and machine learning. His research explores robustness in control algorithms, optimization techniques, and applications in digital TV and low-cost imaging devices. Article Trends: His publications emphasize control systems engineering, color science, and machine learning, with a strong focus on real-time applications and interdisciplinary innovation in consumer electronics and industrial automation. Professional Experience: Prior industry roles at LG Electronics (1996-1998) and LG Innotek (1998-2000) preceded his long-standing academic career at Sejong University.

Mohan Srinivasaraoمشاهده پروفایل

استاد

• Polymer Physics and Chemistry
• Liquid Crystal Physics and Optics
• Nano-optics in Biological Systems
• +۳ مورد دیگر

Mohan Srinivasarao is a full Professor in the School of Materials Science and Engineering at the Georgia Institute of Technology (College of Engineering). He is an elected Fellow of the American Association for the Advancement of Science (AAAS), the American Physical Society (APS) and the National Academy of Inventors (NAI). Education Ph.D. in Chemistry, Carnegie Mellon University, 1990 M.S. in Polymer Science, Carnegie Mellon University, 1985 M.Sc. in Applied Chemistry, PSG College of Technology (University of Madras, India), 1981 B.Sc. in Applied Science, Madurai University, India, 1979 Research Interests Srinivasarao’s research integrates polymer and liquid-crystal physics with nano-optics and advanced characterization. His group explores the physical chemistry of polymers , rheology and rheo-optics of liquid-crystalline fluids , and optical properties of nematic and chromonic liquid crystals . A major thrust is bio-inspired nano-optics , elucidating how butterfly wings, beetle cuticles and bird feathers produce structural color. The laboratory employs confocal microscopy, photon-tunneling microscopy, polarized Raman spectroscopy and other light-scattering techniques to quantify order, defects and dynamics across length scales from molecular to macroscopic. Recent Publication Trends Between 2010 and 2024, Srinivasarao has published extensively on lyotropic chromonic liquid crystals , organic semiconducting polymers , flexible organic electronics , and biomimetic photonic structures . Recurring themes include spontaneous emergence of chirality, defect topology under confinement, orientation control in conjugated polymers, and hierarchical optical materials inspired by beetles and butterflies. Scientific Honors Fellow, American Association for the Advancement of Science (AAAS) Fellow, American Physical Society (APS) Member/Fellow, National Academy of Inventors (NAI) Research Group & Collaborations Srinivasarao leads the Mohan Srinivasarao Group , whose members investigate multi-scale structure–property relationships in soft and biological materials. Collaborative projects span Georgia Tech’s interdisciplinary centers and leverage facilities for advanced microscopy, scattering and device fabrication. Contact: mohan@mse.gatech.edu

Martin C Rabenhorstمشاهده پروفایل

استاد

• Hydromorphic Soils
• Wetland Soils
• Pedogenesis
• +۴ مورد دیگر

Martin C Rabenhorst , Professor at the University of Maryland's College of Agriculture and Natural Resources , specializes in Environmental Science & Technology . His career spans pedogenesis, hydropedology, and soil survey innovations. Ph.D. (1983, Texas A&M) M.S. (1978, University of Maryland) B.S. (1975, University of Maryland) Research focuses on hydromorphic soils , pedogenesis in tidal and subaqueous environments , and redoximorphic feature analysis . He pioneered IRIS (Indicator of Reduction in Soils) technology for environmental monitoring. Key publication trends since 2021 include: Advancements in subaqueous soil-landscape modeling Refinements to Soil Taxonomy for hydric soils Development of Fe/Mn oxide-coated films for redox assessment Studies on carbon dynamics in coastal wetlands His work intersects soil survey , wetland restoration , and pedological modeling , with recent emphasis on Chesapeake Bay subestuaries and blue carbon accounting .

Magdolna Békés-Gardánfalvaمشاهده پروفایل

مدرس

• Art Conservation Chemistry
• Archaeological Textile Analysis
• Museum Environmental Safety
• +۳ مورد دیگر

Magdolna Békés-Gardánfalva serves as a chemistry lecturer at the Hungarian University of Fine Arts (MKE) since 2006 and at the Hungarian National Museum's Art Conservation Assistant program. Her expertise applies chemical principles to art conservation, specializing in archaeological textile analysis and museum environmental safety. Her educational background includes: Doctoral studies at the University of West Hungary Károly Simonyi Faculty of Engineering, Wood Science and Art (2015–) Art Conservation Assistant secondary OKJ training at the Hungarian National Museum (2006) University Diploma from the University of Veszprém, Faculty of Teacher Training, Department of Chemistry and Environmental Science (2000–2006), with a thesis on "Formation of black crust on the surface of coarse limestones found in built environments" Graduated from Cistercian Order Nagy Lajos High School, biology-chemistry department (1996–2000) Her research integrates chemistry with cultural heritage preservation through experimental analysis of material degradation. She investigates natural dyes in archaeological textiles using advanced instrumentation like SEM-EDX, examines environmental impacts on artifacts, and develops safety protocols for museum workplaces. Her work bridges theoretical chemistry with practical conservation techniques to address preservation challenges in built environments and archaeological contexts. Publication trends reveal consistent focus on material analysis techniques for cultural heritage, evolving from foundational safety systems (2011) to sophisticated textile diagnostics (2017). Her research demonstrates increasing technical specialization in analytical methods while maintaining core emphasis on environmental factors affecting artifact preservation. Scientific awards: No scientific awards were mentioned in the provided text. She has trained conservators through structured curricula covering occupational safety, applied chemistry, and textile materials but no specific advisees or research grants were documented. Her professional contributions include conference presentations on dye testing methodologies and color reconstruction limitations for archaeological textiles. She operates within the National Restorer and Restorer Training Center at the Hungarian National Museum, where she develops practical chemistry modules for conservation training and collaborates on material analysis projects for artifact preservation.

Naoki Hirataniمشاهده پروفایل

استادیار

• Neuro-AI
• Theoretical Neuroscience
• Computational Neuroscience
• +۳ مورد دیگر

Naoki Hiratani serves as Assistant Professor of Neuroscience in the Department of Neuroscience at Washington University in St. Louis School of Medicine. His research bridges theoretical neuroscience and artificial intelligence to decipher the brain's efficiency in learning and computation. Education PhD, The University of Tokyo (2011-2016) BS, The University of Tokyo (2007-2011) Research Focus : Dr. Hiratani pioneers Neuro-AI investigations into how micro/macro connectivity patterns and complex learning mechanisms enable the brain's superior energy efficiency and data-efficient learning compared to modern AI. His work employs advanced machine learning algorithms for neural data analysis, targeting brain-inspired AI development through theoretical modeling of sensory processing, olfactory systems, and neural circuit dynamics. Publication Trends : His 2015-2023 publications reveal consistent focus on biologically plausible learning (node perturbation, STDP), neural circuit modeling (olfaction, reservoir computing), and Bayesian neural computation . Recent work emphasizes individual variability analysis and task-order optimization for continual learning. Awards Swartz Foundation Postdoctoral Fellowship (2020-2023) Japan Science Promotion Society Doctoral Fellowship (2014-2016) Top Reviewer, ICML 2025 Mentorship & Lab : Leading the Hiratani Laboratory (Neuro-AI Research Lab), he actively recruits graduate students and postdocs. Current rotation students Jeeyoung and Liangyu contribute to projects including zebrafish brain development (with Goodhill Lab) and International Brain Laboratory data analysis. The lab recently accepted work on task-order optimization for ICML 2025.