جست‌وجوی استاد و پژوهشگر

Karl Stapelfeldtمشاهده پروفایل

پژوهشگر

• Exoplanets
• Star Formation
• Protoplanetary Disks
• +۴ مورد دیگر

Karl Stapelfeldt is a Senior Research Scientist in the Astrophysics and Space Sciences Section at NASA's Jet Propulsion Laboratory (JPL), managed by the California Institute of Technology. He concurrently serves as Chief Scientist for the NASA Exoplanet Exploration Program since 2016, directing strategic development of exoplanet characterization missions. His 30-year career at JPL includes progressive leadership roles from Postdoctoral Fellow to Principal Scientist. His academic credentials include: PhD in Astrophysics with minor in Planetary Sciences, Caltech (1991) B.S.E. in Mechanical & Aerospace Engineering and Engineering Physics, Princeton University (1984) Dr. Stapelfeldt's research centers on observational studies of protoplanetary and debris disks as windows into planetary system formation. He pioneers coronagraphic techniques for direct exoplanet imaging and combines multiwavelength data (optical to mm-wave) with advanced modeling of circumstellar environments. His work bridges theoretical astrophysics and space mission design, with emphasis on instrumentation for future telescopes like HabEx and LUVOIR. Analysis of his 15 most recent publications reveals consistent focus on disk morphology and exoplanet detection. Early work characterized debris systems around stars like Fomalhaut using Hubble and Spitzer, while recent studies leverage ALMA for millimeter-wave disk imaging. His 2021 review established frameworks for next-generation exoplanet missions, demonstrating evolution from observational analysis to mission leadership. Key recognitions include: AAAS Newcomb Cleveland Award (2009) for optical imaging of exoplanets Muhlmann Award from Astronomical Society of the Pacific (2010) for Spitzer contributions As Chief Scientist, Dr. Stapelfeldt manages NASA's exoplanet technology portfolio, including grants for coronagraph development and starlight suppression. His mentorship occurs through JPL-Caltech collaborations, where he guides postdocs in mission studies and data analysis. Current projects emphasize technology maturation for direct imaging of Earth-like exoplanets. He leads the NASA Exoplanet Exploration Program team and contributes to international initiatives like the LBTI Exozodi Key Science Team. This collaborative environment integrates astrophysicists, optical engineers, and mission planners to advance instrumentation for characterizing exoplanetary systems.

Dingbo Shiمشاهده پروفایل

پژوهشگر ارشد

• Chiropractic
• Musculoskeletal Disorders
• Diagnostic Imaging
• +۱ مورد دیگر

Dingbo Shi, DC serves as a Research Fellow at Logan University, actively contributing to chiropractic research with clinical applications in musculoskeletal health. His work bridges diagnostic imaging and manual therapy interventions within the chiropractic profession. Research interests include: Advanced diagnostic imaging techniques for musculoskeletal assessment Biomechanical effects of spinal manipulative therapy Pathophysiology of tendinopathies and disc disorders Clinical validation of chiropractic diagnostic methods Analysis of his 2024 publications reveals a strong focus on objective diagnostic validation - utilizing ultrasonography for tendinosis and magnetic resonance spectroscopy for disc changes. This demonstrates a methodological shift toward quantifiable imaging biomarkers in chiropractic research, moving beyond subjective clinical assessments to establish evidence-based diagnostic criteria. No scientific awards are documented in the provided materials. While student advising details are unavailable, his publications indicate collaborative research with specialists in radiology, orthopedics, and pain management. Current grant information isn't specified in the source text. His research appears integrated within Logan University's clinical research infrastructure, particularly utilizing imaging facilities for musculoskeletal studies, though specific laboratory affiliations aren't detailed.

• Computer Vision
• Image Analysis
• Machine Learning
• +۴ مورد دیگر

Dr Shahana Bano is a Lecturer in the School of Computing, Engineering & Technology at Robert Gordon University, specializing in interdisciplinary applications of Artificial Intelligence. Her research spans biomedical imaging, environmental monitoring, infrastructure analytics, and socio-technical systems through the Machine Vision Research Group and Cybersecurity Research Group. Her educational background includes a PhD in Computer Science and Engineering, M.Tech in Computer Science and Engineering, MSc in Information Systems, and BCA - all completed full-time. Her research philosophy centers on convergence, bringing together diverse data types, technologies, and disciplines to create impactful, adaptive systems that bridge academic innovation with societal relevance. Dr Bano's research interests focus on Computer Vision, Image Analysis, Machine Learning, Data Analytics, Internet of Things, Text to Speech Systems, and Social Media Threat Intelligence. Her recent work demonstrates strong application of these interests to medical diagnostics (CAR-T cell classification), environmental monitoring (geothermal reservoir modeling), infrastructure analytics (pipeline defect detection), and social systems (hate detection in football communities). Her publication record shows consistent output with 32 research outputs from 2015-2025, demonstrating increasing focus on medical and environmental applications of AI in recent years. The work spans theoretical computer vision advancements to practical implementations addressing UN Sustainable Development Goals. Associate Fellow (AFHEA) 2023 from Advance HE Dr Bano actively supervises PhD students and mentors interns on diverse projects. Current PhD supervision includes research on morphological classification of CAR-T cell images for leukemia diagnosis and acoustic emission-based pipeline defect detection. She also guides students on projects involving AR-based navigation, NDVI vegetation mapping, hate detection in football communities, multimodal sensor fusion, and airport runway object detection. Her lab resources are supported through university research groups and collaborations focused on machine vision and cybersecurity applications.

Alexandra Silvaمشاهده پروفایل

استاد

• Programming Languages
• Formal Verification
• Kleene Algebra with Tests
• +۶ مورد دیگر

Alexandra Silva is a Professor of Computer Science in the Department of Computer Science at Cornell University's College of Engineering. She joined Cornell as faculty in 2021 after previously serving as a Royal Society Wolfson Fellow and Professor of Algebra, Semantics, and Computation at University College London. Her research spans programming languages, formal verification, and theoretical computer science, with particular focus on Kleene Algebra with Tests (KAT), probabilistic programming, and automata theory. She has held numerous leadership roles in major programming languages conferences including POPL, PLDI, and ICFP. Dr. Silva completed her PhD at Centrum Wiskunde & Informatica (CWI) in Amsterdam under the supervision of Jan Rutten and Marcello Bonsangue, with her thesis entitled "Kleene coalgebra" defended in December 2010. Prior to her PhD, she was an undergraduate student at University of Minho in Portugal, where she completed a 5-year Mathematics and Computer Science degree in May 2006. Her research focuses on the modular development of specification languages and algorithms for models of computations, often from the unifying perspective offered by coalgebra. She has made significant contributions to Kleene Algebra with Tests, probabilistic programming semantics, network verification, and automata learning. Her work bridges theoretical foundations with practical verification tools, particularly in the domain of Software-Defined Networking where her NetKAT framework has gained significant attention. Analysis of her recent publications reveals a strong trend toward unifying frameworks for program verification, particularly through her development of Outcome Logic which provides foundations for both correctness and incorrectness reasoning. Her work increasingly integrates probabilistic and concurrent aspects of programming languages, with applications to network verification and security. The NetKAT ecosystem remains a central theme, with extensions to infinite state verification, symbolic execution, and learning-based approaches. Distinguished paper award for Guarded Kleene algebra with tests: verification of uninterpreted programs in nearly linear time (POPL 2020) Dr. Silva advises a large research group with numerous PhD students, postdocs, and undergraduate researchers. Her group has produced significant work in programming languages theory, verification, and applications to networking. She has secured substantial research funding through various grants that support her work on formal methods for network verification and probabilistic programming. Her mentoring approach emphasizes both theoretical depth and practical impact, with many of her students moving to prestigious academic and industry positions. Her research group, spanning both Cornell University and University College London, focuses on developing theoretical foundations for programming languages with practical applications in network verification, probabilistic systems, and program analysis. The group maintains active collaborations with researchers at CWI, University of Oxford, and other leading institutions in programming languages and formal methods.

• Mobility Data Analytics
• Big Data
• Machine Learning
• +۸ مورد دیگر

Dr. Omid Isfahani Alamdari serves as Assistant Professor in the Master of Data Analytics program at the University of Niagara Falls Canada, bringing expertise in mobility data analytics and big data systems developed through international research experience. Education PhD in Computer Science, University of Pisa, Italy MSc in Computer Engineering - Software (Distributed Systems), Iran University of Science and Technology BSc in Computer Engineering - Software, Urmia University, Iran Research Focus His research centers on developing efficient trajectory analysis methods and advanced indexing techniques for massive mobility datasets. Key applications include sustainable transportation solutions (electric vehicle adoption, carpooling optimization) and explainable event prediction systems combining historical patterns with real-time data streams. He actively explores generative AI applications for mobility challenges and time series analysis. Publication Trends Publications from 2018-2023 reveal consistent contributions to transportation analytics, with dominant themes in trajectory processing (40%), sustainable mobility (30%), and prediction systems (30%). His work appears in top transportation venues (IEEE Transactions on ITS) and data science conferences (IEEE BigData, SIGSPATIAL), featuring strong international collaboration patterns. Academic Activities Teaching: Agile Software Development, Python for Data Analytics, SQL Databases, and Data Analytics Case Studies Research: Currently leads EU-inspired projects on sustainable mobility and event prediction Specialization: Trajectory analysis, spatio-temporal indexing, EV simulation, graph embedding

Dirk Roosمشاهده پروفایل

استاد

• Machine Learning
• Robust Design Optimization
• Stochastic Analysis
• +۱۰ مورد دیگر

Prof. Dr.-Ing. Dirk Roos is a Professor for Computersimulation und Design Optimization at the Department of Mechanical Engineering and Process Engineering, Niederrhein University of Applied Sciences, where he has served since March 2011. He is also the Head of the Institute for Modeling and High Performance Computing (IMH) since December 2016. His academic career includes previous positions as Head of Robust Design Optimization at DYNARDO Dynamic Software and Engineering GmbH (2002-2011) and Technical Solutions Specialist at CADFEM GmbH (2000-2008). Prof. Roos specializes in machine learning, robust design optimization, stochastic analysis, and probabilistic modeling for virtual product development. His research focuses on developing mathematical methods for stochastic structural and fluid simulation, robustness and reliability analysis, multidisciplinary optimization, and software development for complex system development. He has established strong collaborations with academic institutions including RWTH Aachen, Ruhr-Universität Bochum, and industrial partners like Siemens AG and Robert Bosch GmbH. His recent work explores Probabilistic Intelligence, cyber-physical systems, digital twins, and Big Data Analysis, with applications spanning power plant flexibility, renewable energy, turbomachinery, automotive, aerospace, and medical technology. Prof. Roos has successfully secured numerous third-party funded research projects totaling over 1.8 million euros, including collaborations with Siemens AG, Robert Bosch GmbH, and various universities. optiSLang Award 2012 Weimar Optimization and Stochastic Days Gutachter BMBF im Programm FH-Kooperativ since 2019 Mitglied des Scientific Committee International Probabilistic Workshop since 2017 Mitgliedschaft im Graduierteninstitut für angewandte Forschung der Fachhochschule in NRW since 2017 Prof. Roos supervises multiple doctoral students and has successfully completed several cooperative PhD projects. His current research projects include AI-driven optimization for medical care, reinforcement learning for emergency room planning, and machine learning algorithms for power plant component lifetime prediction. The Institute for Modeling and High Performance Computing (IMH) under his leadership develops mathematical methods and software competence in machine learning and CAE-based robust design optimization for virtual product development.

Louise Wallaceمشاهده پروفایل

مدرس

• Contemporary Painting
• Irish Landscape Painting
• Feminist Art
• +۶ مورد دیگر

Louise Wallace is a Lecturer in Fine & Applied Art:Painting at Belfast School of Art, Ulster University. She is an active artist, writer, and educator based in Belfast, with a significant exhibition history both nationally and internationally. Her work has been shown at prestigious venues including Fenderesky Gallery in Belfast, Rua Red Gallery in Dublin, Soho20 Gallery in New York, and Siemens Art Space in Beijing. Bachelor in Fine Art (2002) PhD in Painting (2006) Post-graduate Certificate in Higher Education (2010) Post-graduate Certificate in Education (2006) L.L.B. from Queens University Belfast (1994) Wallace's research focuses on contemporary painting practices with particular attention to Irish landscape painting, feminist perspectives, and Surrealism. Her work deliberately engages with themes of desire, excess, and the feminine, often transforming suburban landscapes into scenes that hover between the familiar and the uncanny. She utilizes a palette of lush color to create provocative images that draw on both abstraction and Surrealism. Her practice is improvisational, where one move generates the next across painting, drawing, and assemblages. She has developed a significant body of work exploring the intersection of place, identity, and artistic expression in Northern Ireland. Her recent publications and exhibitions reveal a consistent focus on feminist perspectives in art history, particularly examining women painters in Northern Ireland. The 'Midnight Feast' series represents a significant development in her work, exploring nocturnal landscapes of Belfast housing estates through a feminist lens that challenges traditional Irish landscape painting. Her articles demonstrate strong engagement with both contemporary practice and historical analysis, particularly in her examination of Pierre Bonnard's work and her contributions to understanding Catherine McWilliams' artistic legacy. Oil Award, Jackson's Art Prize (2024) Shortlisted for BEEP Painting Prize (2022) Longlisted for John Moore's Painting Prize (2020) British Airways Student Award (2001) Multiple Arts Council of Northern Ireland 'Support for the Individual Artist Programme' awards (2006, 2008, 2022) Wallace has secured significant research funding including Arts and Humanities Research Council funding (2023, 2024) for projects focused on recovering women painters' voices in Northern Ireland. She co-curated 'Penumbra,' a survey of contemporary Irish female painting, and is currently co-curating a retrospective of Catherine McWilliams' work. Her collaborative projects like 'IAA IMPROVE- Gender in Northern Irish Art' and 'IAA - Uncovered - female visibility in NI art' demonstrate her commitment to advancing gender equality in the arts. Wallace also engages in meaningful public discourse through events like 'In Conversation' with poet Sinead Morrisey, exploring connections between artistic practices and the Northern Irish context. Wallace maintains an active studio practice where she extends the compositional space of painting through three-dimensional objects and installations. Her exhibition 'Midnight Feast' featured not only paintings but also wall pieces like 'Fabulous Birds,' which explores color and form using found and fabricated objects. This interdisciplinary approach characterizes her research methodology, treating the exhibition space as an extension of her studio practice.

Griet Moorsمشاهده پروفایل

پژوهشگر

• Visual Arts
• Spatial Analysis
• Perception Studies
• +۳ مورد دیگر

Griet Moors is a Researcher at the Image Analysis team within the PXL-MAD School of Arts at PXL University of Applied Sciences, specializing in the intersection of artistic practice and spatial perception dynamics. Her educational background includes: PhD in the arts (2019) with dissertation and exhibition 'The tipping point as a point of view' Master's degree in painting from PXL-MAD School of Arts Master's degree in architecture from KU Leuven Moors' research investigates how the human gaze navigates multidimensional spatial experiences through situational art installations. She deconstructs the relationship between moving bodies and visual perception, analyzing interdimensional networks of color, form, light, and temporal delays in viewer-artwork interactions. Her methodology combines paintings, photographic prints, digital scans, and spatial objects to challenge static interpretations of art, emphasizing the 'tipping point' where perspective shifts during physical movement through exhibition spaces. Her work fundamentally redefines image construction by positioning the viewer's gaze—not the canvas—as the central medium, integrating conscious and unconscious perceptual phenomena into cohesive artistic frameworks that bridge architectural spatiality and contemporary visual theory.

• Religious Studies
• Sound Studies
• Sensory History
• +۴ مورد دیگر

Dr. Anna Michalík Kvíčalová serves as Assistant Professor at the Institute of Religious Studies within the Faculty of Arts at Masaryk University in Brno, Czech Republic. Her academic career spans European institutions including Masaryk University, Charles University, and Freie Universität Berlin, where she completed her doctoral studies. She maintains an office at building J/J.509, Jaselská 201/18, Brno. Her educational background includes a Ph.D. in the Study of Religions from Freie Universität Berlin (2017) with a dissertation titled 'Disciplining the Sense of Hearing: Auditory Practices in Mid 16th Century Geneva,' and an MA in Religious Studies from the University of Amsterdam (2012). Her academic journey progressed from predoctoral research at the Max Planck Institute for the History of Science to postdoctoral positions at Charles University's Centre for Theoretical Study before securing her current faculty position in 2019. Dr. Kvíčalová's research explores the intersection of religious studies, sound studies, and sensory history. Her work investigates auditory practices across historical periods, from Reformation Geneva to Communist-era Czechoslovakia, examining how sound functions in religious contexts and cultural identity formation. She particularly focuses on the epistemology of listening, the history of acoustic technologies, and the role of sound in the Anthropocene. Her research bridges historical scholarship with contemporary concerns about sensory perception and environmental change. Analysis of her recent publications reveals a clear trajectory connecting historical sensory practices with modern scientific and technological developments. Her work moves from early research on auditory practices in Calvinist Geneva through studies of 19th-century acoustic experiments to contemporary investigations of audio forensics during the Communist era and current Anthropocene-related sound studies. This progression demonstrates her consistent interest in how sensory perception, particularly hearing, functions as both a historical subject and methodological approach to understanding cultural and religious phenomena. Doctoral dissertation awarded 'summa cum laude' (Freie Universität Berlin, 2017) Juror for international conference presentations on sensory history Organizer of international conference 'Listening and Knowledge in Reformation Europe' (2015) Dr. Kvíčalová actively supervises bachelor's and diploma theses in religious studies while teaching courses including Christianity I & II, Religion and the Body, and specialized seminars on religious studies methodology. Her research is supported by multiple grants including the Czech Science Foundation project 'The Second Sense: Sound Hearing and Nature in Czech Modernity' (2020-2023) and current participation in 'Man as a Cultural Species: Foundations of Interdisciplinary Research in the Humanities' (2023-2024). She leads the research group 'The Second Sense' and collaborates on transdisciplinary projects examining anthropocene-related challenges through religious and cultural lenses.

Gabriel Paiukمشاهده پروفایل

مدرس

• Sound Art
• Sound Studies
• Composition
• +۶ مورد دیگر

Gabriel Paiuk (born 1975) is a composer, sound artist, and researcher currently serving as a Lecturer in Sonology: Composition and Music Theory at the Institute of Sonology, part of the Royal Conservatoire in The Hague, which is affiliated with Leiden University's Academy of Creative and Performing Arts. His work explores the intersection of sound art, composition, and theoretical research, focusing on how material, technical, and collective infrastructures shape our perception of sound. His educational background includes: Bachelor's degree in Music from the Center for Advanced Studies in Contemporary Music in Buenos Aires Master's degree in Sonology (with distinction) from the Institute of Sonology, Royal Conservatoire in The Hague PhD from Leiden University (2023) for his dissertation "Mutable Audible - An Operative Ontology of the Sound Image" Gabriel Paiuk's research primarily investigates the conditions of sound experience within media-saturated environments. His work spans theoretical exploration of aural imagination, sound mediation, and the philosophical dimensions of listening. Through his concept of "operative ontology of the sound image," he examines how technological production of sound shapes our perceptual engagement with the audible world. His research integrates perspectives from Simondon's philosophy, sound studies, and artistic practice to develop new frameworks for understanding contemporary sonic experience. His approach emphasizes the affective and tactile dimensions of sound, moving beyond traditional musical frameworks to consider sound as a fundamental component of our everyday perceptual environment. Paiuk's scholarly contributions reveal a consistent focus on the relationship between sound technology and perception. His work traces an evolution from early explorations of sound installation and composition toward increasingly sophisticated theoretical frameworks that address how listening is conditioned by technological and social infrastructures. A recurring theme is the examination of "audibility" as a dynamic concept shaped by historical, technological, and cultural factors rather than a fixed perceptual capacity. His artistic works serve as research tools that simultaneously investigate and demonstrate his theoretical concepts, creating what he terms an "operative ontology" where theory and practice inform each other. His most significant recognition is the Gaudeamus Composition Prize (2006), which he received for his sound installation "Res Extensa" - notable as the first sound installation ever to be awarded this prestigious composition prize. This work established his approach of working with everyday electronic sounds and their affective resonance in contemporary listening culture. As an educator, Paiuk supervises PhD candidates through Leiden University's Academy of Creative and Performing Arts and has mentored numerous students in composition and sound art. His research has been supported by foundations including the Schuurman Schimmel - van Outeren Foundation and the Konrad Boehmer Foundation, which enabled the presentation of his doctoral artistic components. He regularly presents his research at international conferences and symposia, contributing to the growing field of sound studies and artistic research. Paiuk is actively involved with the "Transformations of the Audible" research initiative, which explores the changing nature of sound experience in contemporary technological environments. He curates research events and symposia that bring together artists, scholars, and technologists to examine emerging questions in sound studies and artistic practice. His work bridges the gap between artistic creation and theoretical inquiry, demonstrating how creative practice can generate new knowledge about sound and perception.

• Measurement systems
• Mechanical engineering
• Computer systems
• +۷ مورد دیگر

Tsanko Vladimirov Karadzhov serves as an Associate Professor at the Technical University - Gabrovo, specifically within the Technical College - Lovech under the Department of Mechanical engineering, computer systems and electrical engineering. Holding a Doctor (scientific and educational) degree in Technical Sciences, he maintains an active research and teaching profile at the institution. Dr. Karadzhov's research spans precision measurement systems, mechanical engineering, laser technology applications, and robotics. His work demonstrates particular expertise in gear metrology, angular coordinate measurement systems, and dynamic error compensation techniques. His scholarly contributions bridge theoretical foundations with practical engineering solutions across multiple disciplines within mechanical and electrical engineering. Analysis of his recent publications reveals a consistent research trajectory focused on innovative measurement methodologies. His work progresses from fundamental mechanical engineering principles to increasingly sophisticated integrated systems incorporating computer vision, adaptive algorithms, and multi-sensor approaches. Key thematic areas include precision metrology for mechanical components, laser-based measurement systems, and advanced applications in gear design and manufacturing. Dr. Karadzhov has supervised at least one PhD student, Miroslav Mitkov Mihov, whose research focused on developing methods for strengthening through powder deposition on details. He has participated in five significant research projects at TU Gabrovo between 2018-2022, with primary focus on measurement systems for planar surfaces, angular coordinates of moving objects, and three-coordinate measuring systems with delta robot implementations.