جستجوی استاد راهنمای دانشگاهی

Pedro Trapero Fernandezمشاهده پروفایل

پژوهشگر

• Ancient History
• Landscape Archaeology
• Geographic Information Systems (GIS) in Archaeology
• +۳ مورد دیگر

Dr. Pedro Trapero Fernandez is a Postdoctoral Researcher at the University of Cádiz, affiliated with the Department of History, Geography and Philosophy and the Institute of Viticulture and Agri-Food Research (IVAGRO). He leads the HUM240 Historical Heritage of Andalusia in Antiquity research group and specializes in Ancient History, with particular focus on Roman viticulture, landscape archaeology, and geospatial analysis. PhD in Ancient History and Archaeology (2020) with thesis on Roman Viticulture in the Hasta Regia and the Guadalquivir Estuary Research expertise in non-invasive techniques: GIS, drones, ground-penetrating radar, magnetometry Active academic collaborations with international institutions including FORTH (Greece) His research integrates classical agronomic texts like Columella with modern geospatial technologies to reconstruct ancient agricultural practices and mobility networks. Key projects include Roman road network analysis, viticulture modeling, and archaeological applications of GIS in Spain and Portugal. He has contributed to coastal and inland connectivity studies in Roman and Medieval contexts. Scientific publications demonstrate technical proficiency in geophysical prospecting and historical modeling. Notable works include: GIS applications for Roman property surveying, multidisciplinary analysis of wine production, and innovative methodologies for studying ancient transportation networks. As an educator, he has taught at undergraduate and master's levels through predoctoral contracts and developed flipped classroom methodologies for humanities teaching. Current affiliations include the Agustín de Horozco Seminar on Economic Studies and multiple international research partnerships.

• Artificial Intelligence
• Explainable AI
• Computational Argumentation
• +۳ مورد دیگر

Antonio Rago is a Researcher in the Department of Computing at Imperial College London. He specializes in Explainable Artificial Intelligence (XAI) with a focus on computational argumentation frameworks and their integration with data-driven AI systems. His work bridges symbolic AI and machine learning to enhance transparency and societal benefit in AI applications. Education: PhD in Computing (2019) from Imperial College London, supervised by Prof. Francesca Toni and Dr. Marco Aurisicchio, with an MEng in Automotive Engineering from Loughborough University (2012). Research: Explores explainable AI through argumentation semantics, counterfactual reasoning, and hybrid symbolic-statistical methods. Application domains include e-learning, Formula One race strategy, healthcare, and mechanical engineering. Workshops: Organizer of international workshops like Arg&App 2025 and ArgXAI-25, and co-organizer of previous events at KR, ECAI, and COMMA conferences. Publications: Active in top AI venues (KR, IJCAI, AAAI, AAMAS) with over 25 publications since 2016, emphasizing argumentation-based explanations and robust AI systems. Industry Experience: Former Race Strategy Engineer at Mercedes AMG Petronas F1 Team (2012-2014) and Project Manager at Green Lifting Ltd. (2014-2017).

Nicole Lesley Gardnerمشاهده پروفایل

پژوهشگر

• Digital Transformation
• Urban Technology
• Computational Design
• +۵ مورد دیگر

Dr. Nicole Lesley Gardner is a Registered Architect (NSW ARB 7921) and Program Director of Computational Design at the School of Built Environment, UNSW Sydney . Her interdisciplinary research examines digital transformation in architecture, urban technology, and the ethics of smart cities. A Chief Investigator for the $9M Australian Research Council (ARC) Industrial Transformation Training Centre , she has led multiple Commonwealth-funded grants and co-authored over 40 peer-reviewed publications. Education: PhD in Architecture (UTS 2018), Bachelor of Architecture (Adelaide 2000), Bachelor of Design Studies (Adelaide 1998) Leadership: Chair of CAADRIA 2024 , co-editor of CAADRIA Post-Carbon proceedings (2022) Research Interests span computational design, smart city paradigms, and digital transformation in the AEC sector. Her work integrates ethical frameworks, gender dynamics, and material innovation in urban technology, with a focus on practice-based design research and industry collaboration. Scientific Awards : ADA Faculty Research Fellowship (2021-2022)

Shen-Shyang Hoمشاهده پروفایل

استاد

• Machine Learning
• Data Mining
• Artificial Intelligence
• +۷ مورد دیگر

Shen-Shyang Ho is a Full Professor in the Department of Computer Science at Rowan University's College of Science & Mathematics. His work spans machine learning, data mining, and edge computing with applications in urban mobility, precision agriculture, and data privacy. He leads NSF-funded research projects on dynamic graph analysis and spatiotemporal anomaly detection. Ph.D. in Computer Science, George Mason University Post-Doctoral Associate, Caltech & NASA JPL B.S. in Mathematics with Computational Science, National University of Singapore Research expertise includes graph-based machine learning, conformal prediction, cooperative inference, and privacy-preserving ML. Current work focuses on federated learning for edge devices and anomaly detection in evolving systems. He has developed tools like SplitTracer for cooperative inference evaluation and ParkGauge for urban mobility monitoring. Recent publications highlight his contributions to 2026 Pattern Recognition journal (martingale-based graph analysis), 2025 IEEE ICAIC conference (blockchain gas optimization), and 2024 ACM SAC symposium (shared mobility systems). His work integrates machine learning with real-world constraints across energy grids, transportation, and agricultural technology. NSF Grant (2022) for Dynamic Graph Anomaly Detection NSF Grant (2018) for Spatiotemporal Analysis Google Scholar Classic Paper Recognition (2017) for 2006 Radar Micro-Doppler Study Professional memberships include the Association for Computing Machinery (ACM). His teaching portfolio ranges from introductory programming to advanced ML courses. He previously held positions at Nanyang Technological University before joining Rowan in 2016.

• Semiotics
• Cinema Studies
• Media Studies
• +۵ مورد دیگر

Nicola Maria Dusi is an Associate Professor in the Department of Communication and Economics at the University of Modena and Reggio Emilia (UNIMORE). She specializes in semiotics of cinema and media, with a focus on contemporary television series, intermediality, and transmedia storytelling. Her academic work bridges theoretical frameworks with practical analysis of audiovisual media products. Dr. Dusi's research interests encompass multiple dimensions of media studies. She investigates how contemporary television series construct narrative meaning through complex storytelling techniques, with particular attention to the interplay between fiction and documentary elements. Her work on intermediality explores how different media forms interact and transform content across platforms. She has conducted extensive research on the representation of historical events in television miniseries, notably analyzing the Chernobyl TV series as a case study of cultural memory construction. Her scholarly contributions also include studies on biopics, autism representation in media, and the semiotics of cinema archives. She approaches these topics through socio-semiotic frameworks that examine both textual structures and audience reception. Her recent publications reveal a consistent focus on contemporary media phenomena, particularly the evolution of television seriality in the streaming era. She examines how modern TV series negotiate between factual and fictional elements, creating complex narrative ecosystems that extend beyond the screen through paratexts and fan engagement. Her work on Chernobyl demonstrates how a TV miniseries functions as both historical representation and cultural commentary, blending documentary approaches with dramatic storytelling. She also explores more technical aspects of media representation, such as the aesthetics of blurred vision and data moshing in digital media, analyzing how these techniques affect meaning construction and viewer experience. Dr. Dusi is actively involved in teaching courses directly related to her research expertise. She teaches 'Semiotics of Cinema and Media' for Communication Sciences students, covering theoretical frameworks and analytical methods for examining audiovisual texts. Her course includes modules on basic semiotic theories, analysis of cinema and media, and specialized topics in contemporary media studies. She also teaches 'Intermediate Languages' for the Master's Degree in Advertising, Digital Communication, and Business Creativity. Her teaching emphasizes both theoretical knowledge and practical application, incorporating current media examples to illustrate concepts and encouraging students to develop critical analytical skills for understanding complex media phenomena.

• Cultural Geography
• Swedish Heritage
• Construction of Identity
• +۹ مورد دیگر

Professor Michael Crang is a leading scholar in Cultural Geography at Durham University, holding a professorial chair in the Department of Geography . His work bridges social memory , identity , and globalization through interdisciplinary lenses of critical theory , heritage studies , and waste economies . Key research areas: Swedish heritage construction, ethical consumption, urban smart grids, and waste valorization Major projects: ESRC 'Waste of the World', AHRC/ESRC 'Counterfeit Trade Finance', and Leverhulme 'Visual Cultures' His methodological expertise in visual ethnography and qualitative research has produced influential publications including the edited collections Cultures of Mass Tourism (2009) and Doing Ethnographies (2007). Recent work explores digital geohumanities and transnational food networks . Scientific achievements include: CHOICE Outstanding Academic Title (2010) for International Encyclopedia of Human Geography Leadership roles: Chair of ESRC International Research Team, Director of Research (2003-6, 2008-10) Editorial board memberships: Geography Compass , Mondes du Tourisme , and Cultural Geographies He has supervised numerous PhD students in urban spatial governance , digital city studies , and cross-border material flows , while directing MA programs in 'Space, Place and Culture' and 'Geography and Cities'.

Stephan Leibleمشاهده پروفایل

پژوهشگر

• Employee-driven (Digital) Innovation
• Intrapreneurship
• Employee Engagement
• +۲ مورد دیگر

Stephan Leible is a Researcher at the Department of Computer Science , University of Hamburg (MIN Faculty). Holding both M.Eng. in Business Engineering and an MBA, he focuses on employee-driven digital innovation, intrapreneurship, and leveraging generative AI for organizational transformation. Research Interests : Employee-driven Innovation, Intrapreneurship, Generative AI Governance, Design & Data Thinking, IT Innovation Management Contact : stephan.leible@uni-hamburg.de | Room 117C, Vogt-Kölln-Straße 30, Hamburg His work bridges citizen development with public sector innovation, emphasizing value co-creation, real-time analytics, and ethical AI implementation. Current studies explore: Generative AI adoption patterns and limitations Interpretable machine learning for urban mobility Participatory frameworks for smart city futures Methodologies for continuous improvement in conversational agents

Mario Alvianoمشاهده پروفایل

استاد

• Artificial Intelligence
• Knowledge Representation and Reasoning
• Combinatorial Search and Optimization
• +۵ مورد دیگر

Mario Alviano is a Full Professor in Computer Science (INF/01) at the University of Calabria, Department of Mathematics and Computer Science. He leads the LAIA lab (Laboratorio di Applicazioni dell'Intelligenza Artificiale) and serves as co-PI in the PRIN project PRODE ('Probabilistic Declarative Process Mining'). Current projects: FAIR ('Future AI Research'), Tech4You ('Technologies for climate change adaptation'), SERICS ('SEcurity and RIghts in the CyberSpace'), CAL.HUB.RIA , RADIOAMICA , and STROKE 5.0 His research focuses on Answer Set Programming (ASP), particularly in optimization, nonmonotonic reasoning, and applications to logistics, healthcare, and cybersecurity. He has authored over 120 publications in top venues like AIJ, AAAI, and IJCAI. Recent academic contributions includes work on: Temporal Many-valued Conditional Logics Weighted Knowledge Bases with Typicality Explainable AI via xASP and ASP Chef Defeasible Reasoning Scalability Notable awards: Artificial Intelligence Award 'Marco Somalvico' (2017) ICLP Best Paper Awards (2015, 2016) LPNMR Best Paper Award (2022) CILC Best Paper Award (2023)

• Autonomous Driving
• Computer Vision
• Robotics
• +۳ مورد دیگر

Markus Enzweiler serves as Professor of Computer Science and Autonomous Systems at Esslingen University of Applied Sciences within the Department of Computer Science and Engineering. He concurrently holds the leadership position of Director at the Institute for Intelligent Systems, where he oversees research initiatives focused on intelligent systems development for real-world autonomous applications. His research program centers on computer vision for autonomous systems , with specialized expertise in visual-inertial SLAM, collective perception, and neural rendering techniques. Key investigation areas include environmental robustness across agricultural and urban settings, real-time processing constraints for embedded systems, sensor fusion methodologies (particularly camera-radar integration), and the application of generative models for perception enhancement. His work consistently addresses practical implementation challenges such as computational efficiency and sensor calibration in unstructured environments. Analysis of his 2023-2025 publications reveals three dominant research trajectories: (1) Advancement of lightweight perception systems through stixel-based representations and neural rendering; (2) Development of infrastructure-supported collective perception frameworks with datasets like CoopScenes and OPNV; and (3) Rigorous benchmarking of SLAM components in domain-specific contexts including agricultural robotics and multi-season navigation. His recent systematic review on LLM-based vulnerability detection also demonstrates expanding interest in software security for autonomous systems. As Director of the Institute for Intelligent Systems, Prof. Enzweiler leads a research ecosystem focused on translating theoretical advances into practical autonomous vehicle technologies. His team develops specialized datasets (Rover, OPNV) and software stacks for smart city environments, emphasizing the integration of novel perception approaches with vehicle dynamics modeling and real-time operational constraints.

• Human Factors
• Ergonomics
• Automated Driving
• +۳ مورد دیگر

André Dietrich serves as a Researcher at the Department of Ergonomics, Technical University of Munich, since March 2015. His work centers on pedestrian-vehicle interactions within automated driving contexts, utilizing advanced simulation methodologies and field studies to enhance urban traffic safety. Education: Diploma in Aerospace Engineering from Technical University of Munich specializing in aircraft propulsion and aerospace engineering Completed diploma thesis "Feasibility Analysis of a Pedestrian Simulator" in December 2014 Research Interests: Dietrich investigates pedestrian crossing behavior in automated urban environments through human factors and ergonomics frameworks. His work pioneers external human-machine interfaces (eHMIs) for vehicle-pedestrian communication, examining kinematic effects, cultural influences, and age-related perception differences. Key methodologies include augmented reality simulations, LiDAR-based field observations, and motion-platform pedestrian simulators to capture behavioral nuances in traffic scenarios. His research directly addresses safety challenges posed by increasing vehicle automation levels in complex urban settings. Publication Trends: Analysis of Dietrich's 12 publications (2016-2022) reveals consistent focus on pedestrian-AV interaction mechanisms. His work demonstrates evolving methodologies from controlled simulator studies toward real-world field validations, with growing emphasis on inclusive eHMI design for diverse user groups. Cross-cultural comparisons and technical innovations in projection-based interfaces represent significant thematic threads across his publication history. Advising and Grants: No student supervision or grant funding details are documented in the provided materials. Labs and Infrastructure: Dietrich operates within TUM's Ergonomics Chair facilities including the Dynamical Mock-Up, Modular Ergonomic Mockup, Static Driving Simulator, and robotics labs. These resources support his research on cabin design, automated driving systems, and human-robot interaction within traffic contexts.

Mathieu Brédifمشاهده پروفایل

پژوهشگر

• Lidar Processing
• 3D Reconstruction
• Geovisualization
• +۵ مورد دیگر

Mathieu Brédif is a Permanent Researcher at LASTIG, Gustave Eiffel University, affiliated with the National School of Geographic Sciences (ENSG) and IGN. He serves as co-chair of ISPRS Working Group II/3 on Point Cloud Processing (2016-2020) and chaired ISPRS Working Group III/5 on Graphics and Remote Sensing (2012-2016). His academic appointments include Assistant Professor at École Polytechnique teaching Image Analysis and Computer Vision (INF573) and 3D Computer Graphics (INF443) since 2019-2020. Telecom ParisTech PhD (2005-2010) Stanford University Master in Computer Science (2004) École Polytechnique Engineering Degree (2000-2005) Brédif's research focuses on Lidar processing, 3D reconstruction, and geovisualization , with significant contributions to point cloud analysis, urban scene modeling, and historical image integration. His work bridges computer vision, photogrammetry, and geographic information systems, emphasizing practical applications in urban planning and cultural heritage. He has developed novel algorithms for point cloud inpainting, visibility estimation, and distributed 3D reconstruction. His publications reveal consistent focus on urban modeling through point cloud processing (58% of works), image-based rendering techniques (22%), and geovisualization systems (15%). The research trajectory shows increasing emphasis on deep learning applications for LiDAR data since 2016, alongside continued development of geometric algorithms for photogrammetric processing. ANR project leadership in geospatial data valorization (structurAtion et vaLorisation du patrimoinE géoGraphique - 9) iSpace&Time 4D web GIS development (5) European project participation in high-volume point cloud analysis (8) Brédif actively mentors doctoral candidates, currently supervising Melvin Hersent, Alexane Nghien, and Florent Geniet, with 8 completed PhDs including Pierre Biasutti and Murat Yirci. His laboratory work centers on the GEOVIS research team , developing the iTowns open-source framework for 3D geospatial visualization, which powers the Géoportail's 3D data engine and supports multiple ANR projects in cultural heritage visualization.

• Digital Twin
• Augmented Reality
• Virtual Reality
• +۶ مورد دیگر

Dr. Jiaxin Ling serves as a Research Fellow in Digital Twin and AR/VR for Heritage Buildings at The Bartlett School of Sustainable Construction, University College London. His work bridges digital innovation with sustainable construction practices, focusing on heritage preservation in complex urban environments. Academic background includes: PhD in Civil Engineering, Tongji University (2018-2024), recognized as an Outstanding Graduate of Shanghai Bachelor's in Civil Engineering, Wuhan University (2014-2018) His research spans Digital Twin for tunnels/buildings, Building Information Modeling (BIM) , and AI/ML applications in construction engineering. He pioneers AR/VR solutions for fire safety, tunnel lighting optimization, and intelligent infrastructure, directly supporting UN Sustainable Development Goals 11 (Sustainable Cities) and 9 (Industry Innovation). Analysis of recent publications reveals a cohesive trajectory in applying digital twin technology to solve critical challenges in tunnel safety, energy efficiency, and real-time construction monitoring through hybrid knowledge-data approaches. Key recognition: Outstanding Graduate of Shanghai (top doctoral honor) Dr. Ling contributes to major research initiatives funded by the European Union Horizon Programme and National Natural Science Foundation of China (NSFC) , collaborating across international teams to advance sustainable construction methodologies. His work operates within UCL's interdisciplinary research ecosystem, focusing on heritage building preservation through cutting-edge digital workflows and sensor-integrated monitoring systems.

Dorothee Leesingمشاهده پروفایل

مدرس

• Media Studies
• Educational Technology
• Digital Humanities
• +۱۲ مورد دیگر

Dorothee Leesing is a Lecturer in Educational Technology and researcher at the University of British Columbia (UBC), affiliated with both the Faculty of Medicine and the UBC Centre for Migration Studies. She teaches courses like ETEC 544: Gaming and Society while managing educational technology initiatives. Her interdisciplinary work bridges media studies, digital pedagogy, and critical migration research. Key Affiliations: Department of Educational Technology, UBC UBC Centre for Migration Studies Faculty of Medicine, UBC DiGRA (Digital Games Research Association) Research Interests: Media representation of urban densification Digital pedagogy and gamified learning Digital humanities and AI in education Intersectional analysis of privilege, gender, and race Art-based methods in migration studies Her academic journey spans institutions in Germany (University of Münster), Norway (University of Bergen), the United States (University of Washington), and Canada (UBC). She explores how digital environments reinforce or disrupt structural privilege while contributing to innovative digital learning frameworks through the MET program. As a podcast host on classical music and intersectionality, she combines creative expression with critical theory. Her work aligns with UBC's superdiversity research initiatives examining urban demographic complexity through data visualization tools applied to Vancouver, Sydney, and Auckland.

Kristina Curransمشاهده پروفایل

دانشیار

• Transportation
• Land Use Development
• Transportation Impact Analyses
• +۵ مورد دیگر

Kristina Currans is an Associate Professor of Urban Planning at the School of Landscape Architecture and Planning at the University of Arizona. She bridges transportation planning and civil engineering disciplines, focusing on rethinking data and methods for land use development applications. Her research emphasizes sustainable mobility, parking policies, and the integration of bicycle infrastructure into urban planning tools. Recent projects include operationalizing parking supply and vehicle demand links for transportation impact analyses in California, evaluating e-scooter safety and adoption in Tucson, and incorporating bicycle activity into regional transportation models like VisionEval. Her work spans partnerships with agencies such as the National Institute for Transportation and Communities (NITC), Caltrans, and the Oregon Department of Transportation (ODOT). The 15 most recent articles highlight her expertise in transportation/land use interactions, e-scooter safety, parking supply impacts, climate resilience, and multimodal planning. Topics include socio-technical travel forecasting, heat mitigation strategies, and innovative communication methods like comics to disseminate research findings.

Torsten Sattlerمشاهده پروفایل

پژوهشگر

• Computer Vision
• Image-based Localization
• 3D Reconstruction
• +۳ مورد دیگر

Dr. Torsten Sattler is a computer vision researcher at RWTH Aachen University, Germany, specializing in image-based localization and 3D scene reconstruction. His work focuses on developing efficient algorithms for camera pose estimation relative to large 3D models, with significant contributions to mobile localization systems and scalable reconstruction techniques. His primary research interests include: Image-based localization and pose estimation Large-scale 3D scene reconstruction Structure-from-Motion techniques Efficient correspondence search algorithms Mobile vision applications Point cloud processing and rendering Dr. Sattler's publication record shows a clear progression from fundamental algorithm improvements to practical systems for real-world applications. His research demonstrates particular expertise in optimizing RANSAC implementations, developing direct 2D-to-3D matching techniques, and creating memory-efficient solutions for mobile devices. The trend in his work moves toward increasingly complex systems that address practical challenges in urban-scale localization and reconstruction. Award: Best Paper Award at the ICCV Workshop on Big Data in 3D Computer Vision (2013) Dr. Sattler has maintained strong collaborations with researchers including Bastian Leibe and Leif Kobbelt. His work bridges theoretical computer vision with practical applications in augmented reality, robotics, and mobile navigation systems, often providing publicly available source code and project pages to support reproducibility and further research.