جست‌وجوی استاد و پژوهشگر

Tomoko Matsuoمشاهده پروفایل

دانشیار

• Atmospheric Sciences
• Space Physics
• Data Assimilation
• +۴ مورد دیگر

Tomoko Matsuo is an Associate Professor in the Ann and H.J. Smead Department of Aerospace Engineering Sciences at the University of Colorado Boulder. She holds an affiliate faculty position in the Department of Applied Mathematics and is a member of the Colorado Center for Astrodynamics Research (CCAR). A H. Joseph Smead Faculty Fellow, her research focuses on data assimilation, predictability of geophysical systems, and space physics. She earned a PhD in Atmospheric Science from SUNY Stony Brook (2003), MS in Physics from Nagoya University (1998), and BS in Geophysics from Hokkaido University (1995). Affiliations: CCAR, Smead Aerospace, Department of Applied Mathematics Awards: NSF CAREER Award (2019), multiple teaching awards, and fellowships Education: PhD, Atmospheric Science, SUNY Stony Brook, 2003 MS, Physics, Nagoya University, Japan, 1998 BS, Geophysics, Hokkaido University, Japan, 1995 Research Interests: Advanced methods in data assimilation for space weather forecasting, ionospheric dynamics, and geophysical predictability. Her work bridges atmospheric sciences, space physics, and statistical learning. Current projects include the DYNAMIC mission concept (NASA-selected Phase-A study) and the AMGeO data science platform. Grants & Collaborations: NSF CAREER Award (2019), NASA-funded projects (e.g., DYNAMIC mission), and collaborations with JHU APL, NCAR, and international institutions. Advises students on remote sensing and STEM outreach programs. Labs/Teams: Leads her own research group and contributes to CCAR. Develops tools for assimilative mapping of geospace observations (AMGeO). Active in citizen science initiatives like Aurorasaurus.

• Computer Vision in Medical Imaging
• Machine Learning
• Medical Imaging Segmentation
• +۳ مورد دیگر

Dr. Antonio Ortiz is a Researcher at the University of Bonn, affiliated with the Life and Medical Sciences Institute (LIMES) and the IRU Mathematics and Life Sciences group. He works under the supervision of Professors Alexander Effland and Jan Hasenauer. His research focuses on Computer Vision in Medical Imaging and Machine Learning applications. He holds a Ph.D. in Electric and Electronics Engineering from Cinvestav, Mexico (2023), a Master's in Computer Science from Cicese, Mexico (2019), and a Bachelor's in Mechatronic Engineering (2017). His research integrates Bayesian methods, deep learning, and optical flow techniques for cardiac MRI segmentation, visual-inertial SLAM systems, and 3D shape measurement. Recent work emphasizes adaptive algorithms for medical imaging and robotics applications. Publications span medical imaging, robotics, and materials science, with a focus on algorithmic innovation and interdisciplinary applications. No scientific awards are explicitly mentioned, but his work demonstrates strong academic contributions. His advising activities and grants are not detailed in the provided text. He collaborates within the Effland Lab and IRT Mathematics and Life Sciences team.

• Directed Algebraic Topology
• Algebraic Topology
• Applied Mathematics
• +۳ مورد دیگر

Sanjeevi Krishnan is an Associate Professor in the Department of Mathematics at The Ohio State University (OSU). He specializes in directed algebraic topology, focusing on spaces with time-like structures. His research bridges theoretical mathematics and applications in computer science and robotics. He currently teaches undergraduate Linear Algebra (Math 2568/4568) and has developed software tools like dat.py , cubcat.app , and practice: synthetic homotopy theory for topological computations. Key research interests include model structures, cubical approximations, and homotopy invariants in directed topology. His work has been published in journals like Algebraic & Geometric Topology , Journal of Pure and Applied Algebra , and Applied Categorical Structures . Notable contributions include foundational papers on covering spaces in directed topology and applications of topological duality in pursuit-evasion games. He collaborates with institutions globally, including work with Robert Ghrist on topological max-flow min-cut theorems and with Philippe North on dihomotopy type theory. His teaching and research emphasize practical implementations through computational tools and spectral sequence visualization.

Cécile Michelمشاهده پروفایل

استاد

• Assyriology
• Ancient Mesopotamian History
• Literacy and Education in Antiquity
• +۵ مورد دیگر

Cécile Michel is a renowned Assyriologist holding dual roles as a Senior Researcher at CNRS (France) and Professor at Universität Hamburg (Germany). She specializes in the history of Upper Mesopotamia and Anatolia during the second millennium BCE, focusing on private archives, literacy, material culture, and ethical research practices. Her work integrates interdisciplinary approaches, particularly in analyzing cuneiform tablets and ancient textiles. Michel leads the 'Ethics' working group within the Cluster of Excellence ‘Understanding Written Artefacts’ (UWA) at Hamburg and coordinates international projects like the RFA09 (CT scanning sealed tablets) and RFE04 (Assyrian manuscript culture). Education details are not explicitly provided, but her career highlights include: Doctor honoris causa from Copenhagen University (2017) and Hamburg University (2023) President of the International Association for Assyriology (2014–2018) Scientific delegate at CNRS's Scientific Integrity Mission Recipient of the Knight of the Legion of Honor (2019) Her research interests span: Materiality of cuneiform tablets and digital preservation Gender roles in ancient societies Archival literacy and education Textile archaeology and trade networks Her documentaries, such as Thus speaks Taram-Kubi (2016) and Cuneiform script: writing and calculating (2017), have garnered international acclaim. She actively promotes ethical practices in archaeology and cultural heritage preservation, including work on safeguarding manuscripts from Timbuktu and Nepal. Key grants and projects include leadership roles in the SFB 950 ‘Manuscript Cultures’ (2011–2020) and Cluster of Excellence UWA (2019–2025). Her research teams collaborate globally, integrating archaeology, digital humanities, and experimental archaeology to decode ancient texts and artifacts.

Gabriele Kaiserمشاهده پروفایل

استاد

• Mathematics Education
• Mathematical Modelling
• Teacher Education
• +۶ مورد دیگر

Prof. Gabriele Kaiser is a Full Professor of Mathematics Education at the University of Hamburg’s Faculty of Education. She holds a part-time professorship at the Norwegian University of Science and Technology and an honorary professorship at the Australian Catholic University (ACU). Her research focuses on mathematical modeling, teacher professional competence, and comparative studies in education (East-West). She led the ICME-13 conference in 2016 and serves as former Editor-in-Chief of ZDM Mathematics Education. Key contributions include the TEDS research program on teacher education and the development of video-based assessment tools for teacher noticing. Awards include top Springer downloads for her edited volumes and leadership in international educational initiatives. Roles: Chair of ICME-13, Editor of ZDM, ICMI Representative, ICTMA President Affiliations: University of Hamburg, ACU Brisbane, University of Macau collaborations Research Interests: Mathematical modeling, teacher education, inclusive mathematics, flipped classrooms, and cross-cultural studies Her work emphasizes innovation in teacher training, classroom observation methodologies, and addressing diversity in mathematics education. Recent projects include studies on Chinese and German teachers’ competencies and the use of AR/VR in STEM education. Awards: Honorary professorships in Australia and Hong Kong, board member of Hamburg Scientific Foundation, and recognition for impactful publications.

• Cognitive Psychology
• Cross-modal Perception
• Environmental Psychology
• +۲ مورد دیگر

Marco Costa is a Full Professor at the Department of Psychology "Renzo Canestrari" within the University of Bologna. His research spans cognitive psychology, cross-modal perception, and environmental psychology, with a particular emphasis on the interplay between music, visual cognition, and behavioral responses. His recent publications highlight trends in auditory-visual integration , including studies on musical mode perception , spatial cognition , and environmental influences on behavior . His work bridges theoretical and applied domains, ranging from urban design to sensory neuroscience.

• Theoretical Physics
• Quantum Foundations
• Density Functional Theory
• +۵ مورد دیگر

Russell Thompson is an Associate Professor at the University of Waterloo, affiliated with the Waterloo Institute for Nanotechnology. His research focuses on theoretical physics, with expertise in self-consistent field theory, density functional theory, quantum foundations, and atomic physics. He holds a Doctorate in Theoretical Physics and Applied Mathematics from the University of Western Ontario (1998), complemented by a BSc (Honours Physics) from the University of Ottawa (1994) and an MSc in Physics from the University of Regina (1994). Thompson teaches advanced courses such as NANO 600 (Introduction to Nanotechnology), NE 216/217 (Advanced Calculus and Numerical Methods), and PHYS 234 (Quantum Physics 1). His recent publications (2020–2025) explore quantum foundations, polymer physics, and materials science, with a focus on integrating theoretical frameworks like DFT and SCFT into nanotechnology applications. His articles highlight advancements in quantum entanglement visualization, polymer foaming models, and atomic shell structure predictions. He has no listed scientific awards or grants in the provided data but remains active in interdisciplinary research at the intersection of quantum theory and polymer science.

• Biomedical Engineering
• Signal Processing
• Machine Learning
• +۳ مورد دیگر

Dr Tianning Li is a Lecturer in Computing at the University of Southern Queensland's School of Mathematics, Physics and Computing. Affiliated with the School of Agriculture and Environmental Science, their research focuses on biomedical engineering, signal processing, and machine learning applications in clinical settings. Dr Li holds a PhD from USQ, an MAccFin from Adelaide, and a BISM from Nanjing. Core research interests include EEG signal analysis for anesthesia monitoring and epilepsy detection, with emphasis on developing novel signal processing techniques like spectral entropy analysis, synchroextracting transforms, and federated learning approaches. Their work bridges machine learning innovations with clinical diagnostics, addressing challenges in real-time medical signal interpretation and healthcare data efficiency. Recent publications (2021-2025) emphasize advancements in anesthesia depth assessment algorithms, seizure prediction methodologies, and lossless signal compression. Research trends reflect a strong focus on integrating neural networks (CNN-LSTM, 1D CNN) with traditional signal analysis frameworks to enhance clinical decision-making accuracy. No scientific awards are listed, but Dr Li maintains active research collaborations through affiliations with multiple departments. Supervision activities are not detailed in available records, though their work likely involves student contributions to biomedical computing projects. ORCID: 0000-0001-5142-8654 .

Alain Trouvéمشاهده پروفایل

استاد

• Shape Spaces and Applications
• Imaging Processing and Computational Vision
• Computational Biology
• +۳ مورد دیگر

Alain Trouvé is a Professor at the Center for Mathematics and Their Applications (CMLA) within the Ecole Normale Supérieure de Cachan , France. His research focuses on Shape Spaces , Computational Anatomy , Imaging Processing , and Biological Imaging , with applications in medical and computational fields. He directs the Mathematics Department at ENS Cachan and contributes to neuroanatomical studies through diffeomorphometry techniques. Key roles include membership in the Conseil National des Universités (Section 26) and teaching responsibilities such as courses on Geometry and Shape Spaces and Probability Theory . His work spans from theoretical frameworks (e.g., Hamiltonian modeling of shape evolution) to practical applications like 3D cell imaging and white matter fiber analysis. Publications emphasize interdisciplinary methods, including diffeomorphic registration, varifold-based image analysis, and stochastic shape evolutions. Current projects explore multi-scale modeling of biological systems and AI-driven medical diagnostics. Key Research Themes: Diffeomorphic mappings, computational vision, and functional shape analysis. Teaching: Courses on geometric modeling and probability at undergraduate and graduate levels. Tools Developed: xIV-LDDMM Toolkit for multi-modal biomedical data analysis.

Mingyang Luمشاهده پروفایل

استادیار

• Computational Systems Biology
• Gene Regulatory Networks
• Single Cell Genomics
• +۵ مورد دیگر

Mingyang Lu is an Assistant Professor in the Department of Bioengineering at Northeastern University. Previously, he led an independent research lab at The Jackson Laboratory since 2016. He holds a PhD in Biochemistry and Molecular Biology from Baylor College of Medicine (2010) and a BS in Physics from Fudan University (2003). His research focuses on computational systems biology, integrating mathematical modeling and bioinformatics to study gene regulatory networks, single-cell genomics, and epithelial-mesenchymal transitions. Key projects include developing tools like Gene Circuit Explorer (GeneEx) and investigating microRNA roles in stochastic networks. He has received the Maximizing Investigators’ Research Award (MIRA) from the National Institute of General Medical Sciences. Education : PhD in Biochemistry and Molecular Biology (Baylor College of Medicine, 2010); BS in Physics (Fudan University, 2003) Research Labs : Lu Lab (Northeastern), Center for Theoretical Biological Physics Dr. Lu has advised students including Kaitlyn Ramesh (Goldwater Scholar), Maya De Los Santos, and others. His work bridges computational methods with biological systems, emphasizing stochasticity and heterogeneity in gene expression. Recent grants include NSF support for genome-editing studies on microRNA roles and collaborative projects with the University of Maine.

• Eye Tracking Methodology
• Human-Computer Interaction
• Computer Graphics
• +۵ مورد دیگر

Andrew T. Duchowski is a Professor at Clemson University, specializing in Eye Tracking Methodology, Human-Computer Interaction, and Computer Graphics. His work spans over two decades with significant contributions to gaze-based interaction systems, foveated rendering, and cognitive load measurement. He authored three editions of the influential textbook Eye Tracking Methodology (Springer, 2003/2007/2017). Duchowski's research integrates eye movement analysis with applications in virtual reality, medical imaging (e.g., colonography viewers), and aviation safety. He actively collaborates with institutions globally and serves on editorial boards for journals like Proceedings of the ACM on Human-Computer Interaction . His recent projects include developing real-time gaze analytics pipelines and exploring entropy-based metrics for visual attention analysis. Publications (selected 15 recent): Focus on advancing gaze interaction in immersive environments, optimizing 3D visualization, and measuring cognitive load through pupillary activity and microsaccades. Key co-authors include Krzysztof Krejtz, Matias Volonte, and Donald House.

Douglas W. Carterمشاهده پروفایل

استادیار

• Experimental turbulent flows
• Particle-turbulence interaction
• Noise generation of separated flows
• +۷ مورد دیگر

Douglas W. Carter is an Assistant Professor in the Department of Mechanical, Materials, and Aerospace Engineering at the Armour College of Engineering, Illinois Institute of Technology. He leads the Experimental Turbulent Flows Lab, focusing on advanced experimental techniques for fluid dynamics research. Education: Ph.D., University of Minnesota, 2019 M.S., University of Minnesota, 2017 B.S., University of New Hampshire, 2014 Research Interests: Dr. Carter investigates experimental turbulent flows, particle-turbulence interactions, and noise generation in separated flows. His expertise spans particle tracking velocimetry, hypersonics, compressible flows, and data-driven methods for fluid systems. Research emphasizes experimental validation of turbulence models and development of novel diagnostic tools like FLEET velocimetry. Publications: Recent work explores hypersonic flow diagnostics, pressure reconstruction in stalled airfoils, and turbulence cascade dynamics. Publications demonstrate consistent focus on experimental fluid mechanics, high-speed flow measurements, and low-order modeling for aerodynamic prediction. Laboratory: The Experimental Turbulent Flows Lab (Rettaliata Engineering Center) develops cutting-edge techniques for turbulent flow analysis, including multi-scale imaging and optical diagnostics for high-speed applications.

• Artificial Intelligence
• Uncertainty Theory
• Belief Functions
• +۷ مورد دیگر

Professor Fabio Cuzzolin is a Professor of Artificial Intelligence at Oxford Brookes University, leading the Visual Artificial Intelligence Laboratory (VAIL). He holds roles in the Institute of Ethical AI and the Healthy Ageing and Care (HAC) network. His research focuses on uncertainty theory, belief functions, and their applications in AI, surgical robotics, healthcare, and autonomous driving. He has secured over £5.4M in external funding, including the H2020 Epistemic AI project. Education and Academic Background: While specific formal education details are not explicitly stated in the text, Professor Cuzzolin holds a PhD and has held academic positions across institutions in Italy, the US, and the UK. His teaching experience spans three countries, including roles as a Module Leader for undergraduate and postgraduate courses in Computer Vision, Machine Learning, and related fields. Research Interests: Professor Cuzzolin is a global leader in uncertainty theory, belief functions, and geometric approaches to probability. His work bridges AI with healthcare, robotics, and autonomous systems. Recent projects include the SARAS surgical robotics project, Epistemic AI, and continual learning frameworks. His lab, VAIL, is a leading group in action detection and neurosymbolic AI. Awards and Recognition: Awards include the IMechE Formula Student AI competitions (2021, 2020), W&B Best Library Award (2021), and the Next 10 Award (2012). His students and collaborators have also achieved notable recognitions, such as BMVC Best Reviewer Awards and dataset development accolades. Grants and Funding: Key funded projects include the H2020 Epistemic AI (£966k), SARAS (£4.3M), and the AIDA incubator (£1.25M). Current lab funding exceeds £3.2M, supporting nine active projects across Horizon 2020, Innovate UK, and industry partnerships. Labs and Collaborations: VAIL collaborates with top institutions (Oxford, Cambridge, Imperial College) and companies (Samsung, Huawei). Projects span autonomous driving datasets (ROAD), surgical AI, and continual learning libraries (Avalanche).

Roger Penroseمشاهده پروفایل

استاد

• General Relativity
• Cosmology
• Quantum Mechanics
• +۳ مورد دیگر

Sir Roger Penrose is a British mathematician and theoretical physicist renowned for his contributions to general relativity and cosmology. He held the Rouse-Ball Chair of Mathematics at the University of Oxford since 1973 and served as Professor of Geometry at Gresham College (1998–2001). His work with Stephen Hawking established the singularity theorems in black hole physics. Penrose also pioneered concepts like Penrose diagrams for visualizing spacetime and Penrose tiling in geometry. Education: PhD in Algebraic Geometry from the University of Cambridge (1957). Research Interests: Black holes, cosmology, quantum mechanics, consciousness studies, and mathematical physics. His theories include conformal cyclic cosmology, proposing an eternal succession of Big Bang events. He explored consciousness in The Emperor’s New Mind and Shadows of the Mind , arguing quantum processes underpin mental phenomena. Penrose’s accolades include the Nobel Prize in Physics (2020), Copley Medal (2008), and knighthood (1994).

Camelia D. Brumarمشاهده پروفایل

پژوهشگر

• Visual Analytics
• Data Science
• Human-Computer Interaction
• +۹ مورد دیگر

Camelia D. Brumar is a PhD Candidate in Computer Science at Tufts University and a Visiting PhD Student at Harvard University's Visual Computing Group. She co-founded Boston Vis , a collaborative network for visualization researchers in the Greater Boston Area. Education: B.S. in Theoretical Mathematics from University of Maryland, College Park Research Focus: Systematic visualization design for decision-making processes, bridging gaps between problem spaces and design spaces through qualitative methods Her work intersects Visual Analytics , Human-Computer Interaction , and Machine Learning , with recent publications on decision-making taxonomies, dimensionality reduction explanations, and knowledge graph visualization. Key trends include: Interactive predicate logic for pattern explanation Domain expert challenges in automated data science Anomaly reasoning frameworks Medical AI applications for embryo grading Scientific Achievements: Organizer of Boston Vis (2024) Tutorial presenter on LLMs for research paper interaction (2024) IEEE Visualization 2024 Doctoral Colloquium participant Contributor to Dagstuhl Seminar on provenance in automated data science (2023) Industry experience includes roles at Tableau Research , Alife Health , and Bose Corporation , with collaborations spanning MIT Lincoln Laboratory, National Renewable Energy Laboratory, and Worcester Polytechnic Institute.