جستجوی استاد راهنمای دانشگاهی

Kevin Glowackiمشاهده پروفایل

دانشیار

• Ancient-Medieval Art & Architectural History
• Classical and Near Eastern Archaeology
• Aegean Art, Architecture, and Archaeology
• +۳ مورد دیگر

Kevin Glowacki is an Associate Professor in the Department of Architecture at Texas A&M University, specializing in archaeology and architectural history with a focus on the Mediterranean region. He holds affiliations with the TAMU School of Architecture and the Center for Heritage Conservation, where he served as Director from 2016 to 2021. His research emphasizes vernacular architecture and heritage conservation, particularly in Late Bronze Age-Early Iron Age Crete (e.g., Kavousi Vronda and Gournia). Glowacki is a noted educator, having received awards such as the ING Professor of Excellence Award and Montague-Center for Teaching Excellence Award. He has also contributed to academic publishing, including co-editing Preservation Education and Research (2009–2012). Education: Ph.D. in Classical and Near Eastern Archaeology, Bryn Mawr College (1991) M.A. in Classical and Near Eastern Archaeology, Bryn Mawr College (1987) M.A. in Greek, Loyola University of Chicago (1985) B.A. in Classics (Greek and Latin), Loyola University of Chicago (1983) Research Interests: Ancient-Medieval art/architecture, Aegean archaeology, domestic and sacred architecture, heritage conservation, and cultural heritage management. His work integrates field excavation, spatial analysis (e.g., visibility graph methods), and digital technologies like terrestrial laser scanning for preservation. Awards and Recognition: Archaeological Institute of America’s Excellence in Undergraduate Teaching Award ING Professor of Excellence Award Montague-Center for Teaching Excellence Award Grants and Labs: Glowacki leads projects such as the Gournia Excavation Project and has applied laser scanning to document historic sites (e.g., Haynes Engineering Building, Alcatraz Island). He actively engages in heritage conservation initiatives through the Center for Heritage Conservation, emphasizing community-driven preservation strategies. Labs/Teams: Center for Heritage Conservation (TAMU), Gournia Excavation Project (Crete), and collaborative ventures with the National Council for Preservation Education.

Neill Campbellمشاهده پروفایل

استاد

• Visual Computing
• Machine Learning
• Computer Vision
• +۱۳ مورد دیگر

Neill Campbell is a Professor of Visual Computing and Machine Learning in the Department of Computer Science at the University of Bath . He is the Director of the Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA) and co-director of the Centre for Mathematics and Algorithms for Data (MAD) . He holds an external position as Honorary Associate Professor at University College London and is a Royal Society Industry Fellow. His research spans visual computing, machine learning, and their applications in graphics, vision, and healthcare. His educational background includes a Master of Engineering and a Doctor of Philosophy in Engineering from the University of Cambridge, with his PhD focusing on Automatic 3D Model Acquisition from Uncalibrated Images. Neill Campbell’s research interests lie at the intersection of shape modeling , machine learning , and computer vision . He develops probabilistic and deep learning models to understand and generate visual content, with applications in digital humans, virtual production, biomechanics, and medical imaging. His work emphasizes uncertainty quantification, generative modeling, and alignment learning using Gaussian processes and Bayesian nonparametrics. He leads interdisciplinary projects that bridge computer science and mathematical sciences. The recent publications reflect a strong trend in probabilistic modeling , geometric deep learning , and medical applications . Topics include Gaussian process-based shape modeling, anomaly detection in safety-critical systems, and sparse approximations for geometric representations. His work increasingly integrates theoretical machine learning with real-world applications in health, engineering, and creative industries. Royal Society Industry Fellow Neill Campbell actively supervises PhD students across multiple Centres for Doctoral Training (ART-AI, SAMBa, CDE) and leads significant research grants such as MyWorld (UKRI Strength in Places Fund) and REMODEL (EPSRC). His group collaborates with industry leaders like Rolls-Royce, NVIDIA, Adobe, and DNEG, and he supports student internships and industrial placements. He is also involved in spin-out activities, including contributions to Forceteck Ltd. He leads the Visual Computing Group and is deeply embedded in research centers including CAMERA , MAD , and MyWorld . His team includes postdoctoral researchers and PhD students working on 3D reconstruction, biomechanics, inverse problems, and generative models, fostering a collaborative and interdisciplinary research environment.

• Geothermal Energy
• Structural Geology
• Geophysical Modeling
• +۳ مورد دیگر

Prof. Florian Wellmann is a University Professor at RWTH Aachen University's Chair of Numerical Geosciences, Geothermal Energy and Reservoir Geophysics within the Faculty of Georesources and Materials Engineering. His research focuses on integrating machine learning with geoscience applications, particularly in geothermal energy, structural modeling, and uncertainty quantification. He leads the CG³ research group, developing open-source tools like GemPy and GemGIS for 3D geological modeling. Notably, he received a KI-Campus fellowship for advancing AI in geoscience education. His work includes projects such as the Horizon Europe GeoHEAT initiative, exploring geothermal systems and repurposing idle wells for energy. Education details are not explicitly provided, but his academic roles indicate expertise in numerical geosciences and geothermal engineering. Research interests span physics-based machine learning, subsurface characterization, and probabilistic modeling. His fellowship highlights contributions to digital education, blending AI with geological curricula. Recent publications emphasize sensitivity analysis, fault modeling, and geothermal reservoir optimization. Prof. Wellmann's awards include the KI-Campus fellowship (2021). His grants and advising efforts are reflected in collaborative projects like GeoHEAT and software development. Labs/teams include the CG³ group at RWTH Aachen, equipped with advanced geophysical instruments for field and lab analysis.

• Robotics
• Machine Learning
• Computer Vision
• +۴ مورد دیگر

Kuan Fang is an Assistant Professor of Computer Science at Cornell University, specializing in robotics, machine learning, and computer vision. His research focuses on enabling robots to perform complex tasks in unstructured environments through deep learning-based perception and control systems. Previously, he was a postdoc at UC Berkeley under Sergey Levine and earned his Ph.D. and M.S. from Stanford University under Fei-Fei Li and Silvio Savarese, with a B.S. from Tsinghua University. He has also worked at RAI Institute, Google Brain, Google X Robotics, and Microsoft Research Asia. Education: Ph.D. & M.S., Computer Science, Stanford University Bachelor's Degree, Tsinghua University Research Interests: Robot manipulation and control Reinforcement learning and policy optimization Robot perception and vision-language integration Generalization in robotics across tasks, environments, and robots Open-world robotic systems leveraging large-scale data Teaching: CS 6758: Deep Learning for Robotics (Fall 2024) CS 4756: Robot Learning (Spring 2025) Lab & Collaborations: His lab at Cornell develops scalable algorithms and systems for robotic perception and control, emphasizing data-driven methods. Notable work includes ReLIC for interlimb coordination, GLIDE for bimanual manipulation, and TRA for compositional task execution. He collaborates with institutions like Boston Dynamics AI Institute and UC Berkeley.

Renata Pernarمشاهده پروفایل

استاد

• Remote Sensing
• GIS Analysis
• Forest Management
• +۷ مورد دیگر

Prof. Renata Pernar is a distinguished academic at the University of Zagreb's Faculty of Forestry and Wood Technology, currently serving as a Professor since 2014. Her primary affiliation is within the Department of Forestry. She has held progressively senior roles since 1989, advancing from junior researcher to her current rank. Roles Timeline: 1989–1990: Expert Associate 1990–1995: Junior Researcher 1995–1997: Assistant 1997–2001: Senior Assistant 2001–2006: Assistant Professor 2006–2009: Associate Professor 2009–2014: Full Professor 2014–Present: Distinguished Professor Her research focuses on remote sensing applications , including aerial imagery analysis for tree species identification and forest health assessment, satellite imagery for environmental monitoring, LiDAR in forestry, and thermal imaging. She also explores wildlife tracking via telemetry, neural networks for forest damage detection, and geospatial modeling (Digital Elevation Models, raster-GIS). Courses taught include Spatio-temporal Analysis in GIS, Digital Cartography, and 3D Data Processing. Publications can be accessed via CROSBI and Google Scholar . She is reachable at room 318 (Green Building) and via email.

Mark Yearyمشاهده پروفایل

استاد

• Digital Signal Processing
• Radar Systems
• Meteorology
• +۳ مورد دیگر

Dr. Mark Yeary is a Presidential Professor at the University of Oklahoma's Gallogly College of Engineering, holding the Hudson-Torchmark Presidential Professorship and the Gallogly Chair. He leads OU's Defense, Security, & Intelligence program and serves as CTO of the Oklahoma Aerospace & Defense Innovation Institute (OADII). With a Ph.D. from Texas A&M University (1999), his research focuses on digital signal processing, radar systems, and hardware prototyping for weather and defense applications. He pioneered the Horus all-digital radar and contributed to the National Weather Radar Testbed. Research highlights include the Atmospheric Imaging Radar program, the Horus radar's role in tornado detection, and collaborations with NASA, NSF, and DARPA. Awards include IEEE Fellow and Fellow of CIWRO. He advises OU's AISES chapter and chairs radar sessions at AMS Annual Meetings. Current projects involve multi-beam weather surveillance and phased array advancements. Education: Ph.D., Electrical Engineering, Texas A&M University (1999) Affiliations: Advanced Radar Research Center (ARRC), MIT Lincoln Laboratory (sabbatical 2012-2013), Raytheon Research Interests: Phased array radar design, meteorological data analysis, radar hardware prototyping, and disaster detection systems. His work bridges academic innovation with operational weather radar improvements. Awards: George Lynn Cross Research Professorship (2022), Hudson-Torchment Presidential Professor (2011) Grants: ONR, NASA, NSF, NOAA, DARPA Lab/Teams: ARRC (largest university-based radar center), OADII, and the Mobile C-band Polarimetric Atmospheric Imaging Radar (PAIR) initiative.

• Soil micromorphology
• Urban geoarchaeology
• Phytolith analysis
• +۳ مورد دیگر

Yannick Devos is a postdoctoral researcher at the Archaeology, Environmental changes & Geo-Chemistry department of the Vrije Universiteit Brussel (VUB), within the School of History, Archeology, Arts, Philosophy and Ethics. His work focuses on urban geoarchaeology, soil micromorphology, and phytolith analysis, with particular emphasis on medieval and historical urban environments in Belgium and beyond. Education : Ph.D. in Archaeology (university details not explicitly stated in text). Affiliations : Active in multiple interdisciplinary projects, including the Revealing the Senne initiative and studies on ancient agricultural terraces in the Mediterranean. Research Interests : Urban environmental archaeology, particularly 'Dark Earth' formations and anthropogenic soils. Phytolith analysis as a tool for reconstructing past environments and fire events. Medieval land use, including agricultural practices and waste management in urban contexts. Soil micromorphology applied to historical trade hubs and urban stratigraphy. Recent Article Trends : Recent work emphasizes interdisciplinary methods, such as integrating 3D modeling, autofluorescent phytolith analysis, and biomarker studies to explore urbanization processes, historical environmental changes, and ancient human-environment interactions. Awards : Best poster award (2025) for research on Mediterranean agricultural terraces through soil analysis. Grants & Projects : FWOTM1260 (2024-2028): Investigating ancient agricultural terraces in the Eastern Mediterranean. BRGDOC11 (2023-2027): Uncovering the historical Senne River's role in Brussels' urban landscape. Labs/Teams : Collaborates with the Inside-Out project (x-ray analysis) and the Archaeology of Coastal Communities initiative, focusing on resilience and environmental adaptation.

• Clothing Technology
• CAD Pattern Construction
• Technical Textiles Manufacturing
• +۳ مورد دیگر

Prof. Katerina Rose is a Professor of Clothing Technology & CAD at Reutlingen University's TEXOVERSUM School of Textiles. She leads the Department of Clothing Technology and CAD, focusing on innovative textile design methodologies. Her expertise includes 3D pattern construction, technical textiles manufacturing, and AI-driven garment design. Her research emphasizes digital avatars for clothing simulation, low-cost 3D scanning technologies, and soft tissue modeling. Notable projects include the InBiO initiative for bio-based automotive interiors and the FLAX365 regional textile chain initiative. She holds a patent (DE102020119338A1) for patternless garment cutting methods. Teaching areas: Clothing Technology, CAD Pattern Construction, Technical Textiles Manufacturing Labs: Sewing & CAD Lab, Material Testing Lab, Electronic Textiles Lab Key collaborations: Hometrica Consulting, SciTePress, Browzwear Recent work explores microwave imaging for body dimension capture and AI-enhanced pattern generation, published in journals like Communications in Development and Assembling of Textile Products. Her contributions bridge textile engineering with digital innovation in fashion and medical applications.

Dirk Arnoldمشاهده پروفایل

استاد

• Evolutionary Computation
• Optimization
• Constraint Handling
• +۱۲ مورد دیگر

Dirk Arnold is a Professor in the Faculty of Computer Science at Dalhousie University, Halifax, Canada. His research focuses on evolutionary computation, optimization, and surrogate modeling, with applications in machine learning and digital media. He is actively involved in teaching and research, contributing to major conferences and journals. PhD, University of Dortmund (2001) MSc, Simon Fraser University (1997) Diplom, University of Dortmund (1995) His research interests lie in evolutionary algorithms, particularly evolution strategies, and their application to noisy and constrained optimization. He investigates constraint handling, surrogate modeling, and parameter adaptation mechanisms. His work bridges theoretical analysis and practical applications in image processing, tone mapping, and robotics. Recent publications show a strong trend toward surrogate-assisted optimization, constrained evolutionary algorithms, and applications in computer vision and graphics. His work is consistently published in top venues such as GECCO, PPSN, and IEEE Transactions on Evolutionary Computation. Scientific Awards: Best Paper Award, Continuous Optimization Track, GECCO 2015 Best Paper Award, ES/EP Track, GECCO 2013 Best Paper Award, PPSN XII 2012 Best Paper Award, ES/EP Track, GECCO 2010 Best Paper Award, PPSN IX 2006 Best Student Paper Award, ACM Symposium on Document Engineering 2014 Arnold has advised numerous students, many of whom are co-authors on his publications. He has received research grants supporting work in evolutionary computation and optimization, though specific grant details are not listed. He is a key member of research clusters in Human-Computer Interaction, Visualization & Graphics, and Algorithms & Bioinformatics. He leads a research group focused on evolutionary algorithms and optimization, collaborating with researchers such as H.-G. Beyer, N. Hansen, and S. Brooks. Future work includes advancing constrained and mixed-integer evolutionary optimization, improving surrogate models, and expanding applications in computer vision and HCI.

Andreas Fenderمشاهده پروفایل

پژوهشگر

• Human-Computer Interaction
• Augmented Reality
• Virtual Reality
• +۶ مورد دیگر

Andreas Fender is a researcher at the Visualization Institute of the University of Stuttgart (VISUS), affiliated with the Schmalstieg Working Group. He has held postdoctoral positions at ETH Zurich (Switzerland) and the University of Sussex (England), following his PhD at Aarhus University (Denmark) with an internship at Microsoft Research (USA). His research focuses on Human-Computer Interaction, particularly in Augmented and Virtual Reality (AR/VR) and camera networks. He develops novel input methods for productivity and artistic expression in Mixed Reality environments, creating hybrid physical-digital systems like OptiBasePen, PressurePick, InfinitePaint, and DeltaPen. Recent work includes contributions to Mixed Reality input methods (UIST 2024, CHI 2022) and collaborative systems (Asynchronous Reality). Projects like GuitarPie (UIST 2025) and OptiBasePen (UIST 2024) demonstrate his focus on mobile interaction and ergonomic design. Scientific accolades include the Best paper award at CHI 2022 Best application paper award at ISS 2019 . At VISUS, he collaborates with Dieter Schmalstieg and leads hiring for PhD students and PostDocs exploring physical-digital workflows, artistic tools, and critical AI engagement. His work integrates machine learning, hardware prototyping, and spatial user interfaces to redefine future workplaces.

Per Goltermannمشاهده پروفایل

استاد

• Civil Engineering
• Concrete Structures
• Reinforced Concrete
• +۱۲ مورد دیگر

Per Goltermann is a Professor and Head of Study Professor in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU), where he leads the Digital Building Technologies research group. His work focuses on sustainable and innovative construction technologies, including concrete structures, E-learning, and material lifecycle design. PhD in Civil Engineering, DTU (1982–1985) MSc in Civil Engineering, DTU (1976–1981) His research interests include Integrated Structures and Materials Design , with emphasis on reinforced concrete, ZeroWaste strategies for material upgrading, and Superlight Concrete Structures for sustainable design. His international expertise spans concrete deterioration, monitoring, and structural health assessment. The research footprint highlights strong engagement in civil engineering, fiber-reinforced polymers, and sustainable materials. Recent publications (2024–2025) reflect a focus on sustainable construction materials (e.g., unfired clay bricks, rammed earth), advanced bridge testing (proof loading, inverted T-sections), and CFRP strengthening techniques. These works emphasize durability, sustainability, and structural performance, aligning with UN Sustainable Development Goals. His scientific awards include: Annual DTU Award for developing Teaching and Learning (2017) DTU Award for Development of Teaching and Learning 2017 Teacher of the year at DTU (2013) Per Goltermann has supervised multiple PhD students and led significant research projects, including Advanced engineering tool for lightweight composite 3D print of concrete design formwork and Monitoring thresholds in full-scale bridge testing . He has been a main supervisor in projects funded by public and industrial sources, focusing on structural reliability, bridge reclassification, and shear behavior of concrete members. His activities include guest lectures and invited talks on sustainable building materials and smart structural inspection. He is actively involved in research networks and collaborations, particularly in Denmark and internationally, with a strong presence in bridge safety, sustainable materials, and digital construction technologies.

Fatime BALKAN KIYICIمشاهده پروفایل

استاد

• Science Education
• Environmental Education
• Informal Learning Environments
• +۷ مورد دیگر

Prof. Dr. Fatime BALKAN KIYICI is a faculty member at Sakarya University, Faculty of Education, Department of Mathematics and Science Education. She is an active professor in the field of science education, teaching both undergraduate and graduate courses such as Science Education I/II, Teaching Practice, Environmental Education, and specialized graduate seminars. Her research interests include Science Education , Environmental Education , Informal and Out-of-School Learning Environments , Teacher Training , Technology Integration in Education , and Curriculum Development . She has conducted comparative studies on science curricula in Turkey and Brazil, developed scales for environmental awareness and out-of-school learning, and explored the use of zoos, museums, and nature trips in science instruction. Her recent publications (2020–2024) emphasize socio-scientific issues, sustainable development, Web 2.0 tools, and the impact of informal learning on student achievement and environmental awareness. She has published in journals indexed by SSCI, Scopus, and TRDizin, including Education and Information Technologies , Children & Society , and Sakarya University Journal of Education . She has supervised at least one master’s thesis and has contributed to national research projects related to nature education and science centers. Her work demonstrates a strong commitment to improving science teaching through innovative, real-world, and technology-enhanced approaches. Supervised Student: Melike Yavuz (2011, Master’s Thesis on Zoo Use in Science Education) Prof. Balkan Kiyici has also developed and taught numerous graduate-level courses, including Problems in Science Education Research , Comparative Science Education Programs , and Specialization Field Courses at both master's and PhD levels. She actively contributes to academic service through conference presentations and curriculum development.

Michael Breuerمشاهده پروفایل

استاد

• Photogrammetry
• Remote Sensing
• Geoinformation Systems
• +۶ مورد دیگر

Michael Breuer serves as Professor of Photogrammetry and Remote Sensing within Department III – Civil Engineering and Geoinformation at Beuth University of Applied Sciences Berlin. He heads the Photogrammetry Laboratory and maintains extensive professional collaborations with authorities, universities, and companies across Berlin/Brandenburg, Germany, and internationally in geoinformation domains. His research spans photogrammetry, remote sensing, 3D modeling, and geospatial applications for archaeological documentation, disaster response, and environmental monitoring. Key focus areas include: Terrestrial and aerial photogrammetric methods for cultural heritage preservation Satellite-based remote sensing for land cover change analysis Drone-based systems (RPAS/UAS) for emergency response mapping Forensic measurement applications using photogrammetric techniques Integration of AI/ML in geospatial data processing Professor Breuer actively supervises numerous bachelor's and master's theses, often in partnership with external organizations including Brandenburg State Office for Monument Preservation, Berlin Fire Department, GFZ Potsdam, and international archaeological projects. His laboratory maintains strong ties with other BHT facilities including Geomedia Laboratory, Geodetic Measurement Technology Laboratory, and Geodata Analysis and Visualization Laboratory. He teaches core courses in photogrammetry, remote sensing, 3D geodata modeling, and digital image processing across both bachelor's and master's programs in Geoinformation. His teaching emphasizes practical applications through field exercises and industry collaborations.

• Perception and Experience of Art
• Effects of Observation on Behavior
• Social Perception
• +۴ مورد دیگر

Vera M. Hesslinger is a Researcher at the Department of General Psychology and Methodology , Faculty of Human Sciences, Otto-Friedrich-Universität Bamberg. She earned her PhD in Experimental Psychology from Johannes Gutenberg University Mainz , supervised by Univ.-Prof. Dr. Heiko Hecht. Her work focuses on the perception and experience of art , cognitive maps , and social perception dynamics . Research Interests : Art perception, cognitive processing of visual ambiguity, social factors in aesthetics, and psychophysical analysis of color and depth perception. Key Contributions : Co-authored studies on the Mona Lisa’s 3D implications, #TheDress color perception, and social conformity in aesthetic judgments. Explored semantic instability in art and cognitive mapping. Recent Trends : Her 2022-2023 publications examine analytic vs. synthetic art perception and cross-cultural emptiness in architecture , reflecting a blend of experimental psychology and applied aesthetic research. Teaching : Conducts seminars on perception and observation exercises for BSc Psychology students, emphasizing empirical methods. Contact : Located at Markusplatz 3, Bamberg; office hours by appointment via email vera.hesslinger@uni-bamberg.de .

Lucy Bryantمشاهده پروفایل

مدرس ارشد

• Speech Pathology
• Language Development and Rehabilitation
• Acquired Communication Disability
• +۶ مورد دیگر

Dr. Lucy Bryant is a Senior Lecturer in Speech Pathology at the University of Technology Sydney (UTS), Faculty of Health, with over a decade of clinical experience working with children and adults across community, private practice, and university clinics. She is a certified practising speech pathologist whose work centers on ensuring access to communication as a fundamental human right, with a strong emphasis on technology applications in speech pathology practice. PhD in Speech Pathology, University of Newcastle Australia (2014-2018) Bachelor of Speech Pathology (First Class Honours, University Medal), University of Newcastle Australia (2009-2012) Graduate Certificate in Higher Education Teaching and Learning, University of Technology Sydney Dr. Bryant's research focuses on language development and rehabilitation across the lifespan, with particular emphasis on how people process, understand, and express meaning. She has significant expertise in discourse analysis for clinical practice, especially for people with aphasia following stroke. Her innovative work explores the integration of Virtual Reality and Augmented Reality technologies in speech pathology, examining how these tools can enhance communication access and inclusion for individuals with communication disabilities. She also investigates neurodevelopmental communication disorders and the application of technology in improving language learning and rehabilitation outcomes across the lifespan. Dr. Bryant's publication record demonstrates a strong trajectory toward immersive technologies in speech pathology practice, with recent work heavily focused on Virtual Reality and Augmented Reality applications. Her research spans both adult and pediatric populations, addressing communication disorders across the lifespan, with a consistent emphasis on translating research findings into practical clinical applications. Her collaborative approach is evident in numerous interdisciplinary projects and international partnerships, particularly the FOQUS Aphasia initiative she helped launch. Dr. Bryant actively supervises Masters and PhD students and has secured competitive research funding through projects like 'Augmented Reality to Support Social Language Skill Development' (EPIC MEGAGRANTS) and 'Co-designing an Augmented Reality Application for Children with Communication Disability' (UTS ECR Research Capabilities Development Initiative). As Theme Lead for Professional Practice and Education in the UTS INSIGHT Digital Health Collaborative, Dr. Bryant works at the intersection of technology and clinical practice. She co-founded the international collaboration FOQUS Aphasia and is actively involved in the UTS speech pathology clinic that provides free public treatment while offering students clinical experience. Her work with the Digital, Virtual and AI in Health Collaborative (DVAIHC) positions her at the forefront of technology integration in speech pathology education and practice.