جستجوی استاد راهنمای دانشگاهی

Manja Hoppe Andreasenمشاهده پروفایل

دانشیار

• Urban development
• Urban expansion
• Urbanization
• +۹ مورد دیگر

Manja Hoppe Andreasen is an Associate Professor in the Department of Geosciences and Natural Resource Management at the University of Copenhagen's Faculty of Science. Her research focuses on urban expansion dynamics in rapidly urbanizing low- and middle-income countries, with extensive fieldwork conducted in Tanzania and Ghana. Dr. Andreasen holds a PhD in Geography from the University of Copenhagen (2016) and an MSc in International Development Studies and Public Administration from Roskilde University (2011). Her academic journey progressed from PhD student (2012-2016) to Postdoc (2016), Tenure-track Assistant Professor (2018-2024), and currently Associate Professor (2024-present). She also served as a Visiting Researcher at Utrecht University (2018-2019). Her research examines the motivations and logics of diverse actors in land transactions and property development in urban fringe areas, analyzing how governance arrangements shape unregulated urban expansion. Dr. Andreasen's work offers practical insights for urban policymakers seeking to foster inclusive, resilient, and sustainable cities, engaging with land formalization, settlement upgrading, infrastructure expansion, and climate change resilience. While primarily qualitative, her methodological approach integrates insights from multiple research traditions. Dr. Andreasen's recent publications demonstrate a consistent focus on urban expansion dynamics in African cities, particularly examining flood risk intertwinement with urban expansion, land encroachment in ecologically sensitive areas, property as security for the growing middle class, and informal land markets. Her research spans multiple cities including Accra (Ghana), Dar es Salaam, and Mwanza (Tanzania), revealing patterns of urban transformation across the continent. Sapere Aude: DFF Starting Grant (2023) The Carlsberg Foundation's Internationalisation Fellowship (2016) Dr. Andreasen currently leads the 'Urban encroachment' project (2024-2028) examining land-use transitions in ecologically sensitive areas in Accra and Dar es Salaam. Previously, she led the 'Climate Change Resilience in Urban Mobility' project (2018-2023) and participated in other major initiatives including 'The urban land nexus' project (2017-2020) and 'The rise of the African middle class' (2018-2019), demonstrating sustained engagement with critical urban issues in the Global South. Through her work, Dr. Andreasen maintains strong collaborative networks with institutions across Africa and Europe, including the Department of Geography and Resource Development at University of Ghana, Institute for Scientific and Technological Information in Accra, and the Institute of Development Studies at the University of Sussex.

Marie-Eve Carignanمشاهده پروفایل

استاد

• Press discourse
• Communications, journalism and information
• Public relations
• +۳ مورد دیگر

Marie-Eve Carignan serves as Full Professor in the Department of Communication at Université de Sherbrooke, holding key leadership roles including Program Director for the Master's in Communication (course-based track in international political communication and democratic risks) and responsibility for third-cycle development. She co-holds and directs the Media Pole at the UNESCO Chair for the Prevention of Radicalization and Violent Extremism (UNESCO-PREV Chair), demonstrating deep institutional integration. Her academic credentials include dual doctorates: a PhD in Information and Communication Sciences from Sciences Po Aix-en-Provence (France) and a joint PhD in Communication from Université de Montréal (with Concordia University and UQAM). Additional qualifications comprise a Master's and Bachelor's in Social Communication from Université du Québec à Trois-Rivières, and a Journalism and Television Animation diploma from ProMédia School. Professor Carignan's research critically examines press discourse, journalistic practices during crises (including terrorism and industrial disasters), cultural industry statistics, and media ethics. Her work bridges theoretical frameworks with practical applications, particularly analyzing ethical boundaries in native advertising and community resilience communication during events like the Lac-Mégantic rail tragedy. She investigates how media coverage shapes public understanding of complex crises while maintaining journalistic integrity. Recent publications reveal consistent focus on crisis communication dynamics, with significant attention to media coverage of terrorist attacks (Ottawa 2014) and industrial disasters. Her scholarship increasingly addresses digital transformation challenges, particularly native advertising's ethical implications and niche media development. This trajectory demonstrates evolving expertise from traditional press analysis toward contemporary digital media ethics and crisis response frameworks. She actively contributes to multiple research collectives including the Society, Law and Religions Research Center (SoDRUS) at Université de Sherbrooke, the Cultural Audiences Research Laboratory (LRPC), the International Network for Communicator Professionalization (RESIPROC), and the CHERPA research center, fostering interdisciplinary collaboration across communication, sociology, and cultural studies domains.

Nicolas Verstaevelمشاهده پروفایل

دانشیار

• Smart Cities
• Multi-agent Systems
• Machine Learning
• +۵ مورد دیگر

Nicolas Verstaevel is an Associate Professor at the University of Toulouse Capitole and researcher at the Toulouse Institute of Computer Science Research (IRIT), where he contributes to the SMAC (Cooperative Multi-Agent Systems) team. He holds a PhD in Artificial Intelligence and an HDR (Habilitation à Diriger des Recherches). His career includes international experience as an Associate Research Fellow at the University of Wollongong, Australia, and industrial R&D roles at Capgemini. His research explores complex systems through: Agent-based modeling and simulation frameworks Machine learning applications in urban environments IoT-enabled smart city infrastructure Pedestrian dynamics and crowd behavior analysis Real-time traffic monitoring systems He leads projects funded by ANR and EU programs, focusing on high-density crowd simulations and sustainable urban mobility. His publications demonstrate strong emphasis on multi-agent systems, sensor data fusion, and scalable simulation architectures. Key lab affiliations: Cooperative Multi-Agent Systems (SMAC) at IRIT: https://www.irit.fr/-Equipe-SMAC-

Qing Huangمشاهده پروفایل

دانشیار

• Software Engineering
• Knowledge Graphs
• Human-Computer Interaction
• +۵ مورد دیگر

Qing Huang is an Associate Professor in the School of Computer and Information Engineering at Jiangxi Normal University in Nanchang, China. His academic career focuses on bridging software engineering with artificial intelligence, particularly through the application of large language models to enhance software development processes. His research interests span multiple interconnected domains: Software Engineering Knowledge Graphs Human-Computer Interaction Programming Languages Artificial Intelligence applications in software development Dr. Huang's recent work demonstrates a strong focus on leveraging large language models (LLMs) to address fundamental challenges in software engineering. His research explores how AI can enhance code generation, API understanding, software testing, and knowledge representation in programming contexts. A significant portion of his work investigates the intersection of knowledge graphs and LLMs to create more intelligent software development tools. His publications reveal a consistent pattern of innovation in applying cutting-edge AI techniques to practical software engineering problems, with particular emphasis on improving developer productivity through better tooling and knowledge management. Dr. Huang has made notable contributions to the field of prompt engineering for software development tasks, exploring how natural language interfaces can serve as "APIs" for human-AI interaction. His work on AI Chains represents a novel approach to connecting human developers with LLM capabilities through structured knowledge representations. Additionally, he has conducted significant research on smart contract analysis, code reuse, and type inference in partial code contexts. His scientific contributions have been recognized through publications at major software engineering conferences including ASE and ICSE, with multiple papers accepted across different tracks (Research Papers, Journal-First, Tool Demonstrations). Dr. Huang serves as a Program Committee member for ASE 2025 in the Research Papers track, demonstrating his standing in the software engineering research community. Dr. Huang collaborates extensively with researchers from various institutions, including Data61 (Australia), Nanyang Technological University, and other Chinese universities. His work demonstrates strong interdisciplinary connections between traditional software engineering and emerging AI technologies.

• Automatic Control
• Electrical Engineering
• Motor Control Systems
• +۷ مورد دیگر

Laurent Rambault is an Associate Professor with HDR (Habilitation à Diriger des Recherches) in Automatic Control and Systems at the University of Poitiers, France. He is affiliated with the Laboratory of Sensor Application Engineering (LIAS) at both ENSIP (École Nationale Supérieure d'Ingénieurs de Poitiers) and ISAE-ENSMA. His research focuses on advanced control systems, fault detection, and signal processing applications in electrical machinery and industrial processes. Dr. Rambault's primary research interests include sensorless control and fault detection in electrical machines, particularly induction motors and permanent magnet synchronous machines. He has developed significant expertise in tacholess order tracking methods, digital twin development for predictive maintenance, and advanced signal processing techniques for condition monitoring. His work bridges theoretical control systems with practical industrial applications across wind energy systems, industrial vacuum processes, and fluid dynamics. His research methodology often combines traditional signal processing with emerging machine learning techniques to improve diagnostic capabilities. His recent publications (2020-2024) demonstrate a clear progression toward more sophisticated diagnostic methodologies, with increasing integration of Physics-Informed CNNs alongside traditional signal processing approaches. His work shows strong industrial relevance, particularly in predictive maintenance applications for manufacturing and renewable energy sectors. The consistent publication record across high-impact journals reflects his sustained contribution to the field of electrical machine diagnostics. Dr. Rambault maintains active research collaborations with colleagues including Sebastien Cauet, Erik Etien, and Anas Sakout, as evidenced by his extensive co-authorship patterns. His laboratory work at LIAS focuses on developing advanced control strategies and diagnostic tools with direct industrial applications. The research group maintains strong connections with industry partners to ensure practical implementation of theoretical advances in control systems.

• UAV photogrammetry
• Remote sensing
• Geomorphological monitoring
• +۷ مورد دیگر

Anette Eltner is a Junior Professor for Geosensor Systems at the Technical University of Dresden since 2021. Her work focuses on developing innovative methods for environmental monitoring using AI and remote sensing technologies. She leads research projects that aim to improve flood forecasting systems and monitor geomorphological changes through advanced imaging techniques. Her educational background includes: PhD in Geography from TU Dresden (2016), awarded by the German working group for geomorphology Diploma in Geography from TU Dresden (2010) with minors in Photogrammetry/Remote Sensing, Soil Science and Hydrology Professor Eltner's research spans multiple cutting-edge areas in geospatial technology and environmental science. She specializes in UAV photogrammetry and remote sensing, developing methods for precise geomorphological and hydrological monitoring. Her work integrates artificial intelligence with environmental sciences to create more accurate predictive models for natural processes. She focuses particularly on erosion processes in fragile landscapes and has pioneered techniques for spatio-temporal high resolution topography using laserscanning, structure-from-motion, and time-lapse imaging. Her innovative approach to image processing enables automatic feature detection and tracking in geographic applications, while her development of low-cost geosensor systems makes advanced monitoring accessible in resource-limited settings. Her publication record demonstrates consistent advancement from foundational photogrammetric techniques to sophisticated AI integration for real-time environmental assessment. The research shows increasing emphasis on practical flood warning applications and dynamic landscape monitoring, particularly for small waterways where traditional monitoring systems are lacking. Her notable scientific achievements include: PhD thesis award from the German working group for geomorphology (AK Geomorphologie) TUD Young Investigator status (recognizing excellent, independent junior research group leaders) Editorial board membership for Geoscientific Instrumentation, Methods and Data Systems and Photogrammetric Record Professor Eltner leads the "Artificial Intelligence for Flood Warning (KIWA)" project, evaluating camera-based water level monitoring systems along small tributaries of the Elbe River in Saxony. Her research group develops AI-supported methods to analyze water surface imagery and predict flood events in small waterways. She has secured funding for projects in Germany and internationally, including current work in Oman combining cameras and seismic sensors to monitor rare flood events in wadis. Her team is developing systems that allow sensors to communicate with each other for dynamic environmental monitoring. Her laboratory work focuses on developing cost-effective monitoring solutions using accessible technology like Raspberry Pi computers and standard cameras. She has demonstrated that these low-cost systems can effectively monitor significant landscape changes, making advanced environmental monitoring more widely available. Current projects involve creating 3D point cloud analysis methods that incorporate temporal components to better predict dynamic processes like soil erosion, rockfalls, and landslides.

WATANABE Takeshiمشاهده پروفایل

استاد

• Fluid Engineering
• Atmospheric Sciences
• Mathematical Physics
• +۴ مورد دیگر

Professor Takeshi Watanabe serves in the Department of Applied Physics at Nagoya Institute of Technology's Graduate School of Engineering. Specializing in fluid dynamics and turbulence theory, his research bridges fundamental physics with atmospheric and industrial applications. Education: Doctor of Science (2000.03, Kyushu University) Master of Science (1997.03, Kyushu University) Bachelor's Degree (1995.03, Tokyo University of Science, Faculty of Science, Department of Applied Physics) Watanabe's research focuses on turbulent flows , particularly particle-laden turbulence, cloud microphysics, and passive scalar transport. His work employs advanced computational techniques including direct numerical simulation (DNS) to investigate phenomena like energy dissipation statistics, vortex dynamics, and polymer scission in turbulent environments. Key contributions include modeling turbulence modulation by particles and supersaturation spectra in cloud systems. His publication record demonstrates consistent high-impact contributions to fluid mechanics, with recent articles in Physical Review Fluids and Journal of Fluid Mechanics addressing fundamental turbulence characteristics across diverse applications from atmospheric science to industrial fluid systems. Awards: Fellow Member Certification (Japan Society of Fluid Mechanics, 2023) HPCI Outstanding Research Achievement Award (RIST, 2021) Japan Fluid Mechanics Society Central Chapter Outstanding Presentation Award (2004) As Principal Investigator for multiple competitive grants including JSPS Kakenhi projects (totaling over ¥48 million), Watanabe leads collaborative research on cloud turbulence and particle-fluid interactions. His advisory role extends to high school outreach programs at Nagoya Institute of Technology, demonstrating commitment to science education. Watanabe actively contributes to academic governance as理事 (Board Member) of the Japan Society of Fluid Mechanics and strategic committee member at the National Institute for Fusion Science, where his expertise in turbulence informs plasma simulation research.