جست‌وجوی استاد و پژوهشگر

Richard Lemoine-Rodríguezمشاهده پروفایل

استاد

• Urban Ecology
• Remote Sensing
• Geoinformatics
• +۹ مورد دیگر

Dr. Richard Lemoine-Rodríguez is a postdoctoral researcher at the Institute of Geography and Geology under the Chair of Remote Sensing , Faculty of Philosophy, University of Würzburg. He also collaborates with the German Aerospace Center (DLR) . His interdisciplinary research bridges urban ecology , geoinformatics , and digital humanities to advance understanding of cities as complex socio-ecological systems. Education: PhD in Geography (2017-2022, Ruhr-Universität Bochum) MSc in Geography (2013-2015, UNAM) BSc in Biology (2008-2012, Universidad Veracruz) His methodological expertise includes multimodal data analysis , social media analytics (Twitter/BlueSky), NLP , and remote sensing techniques for studying urban heat islands, green infrastructure, land use changes, and socio-spatial inequalities. Current work focuses on the Geolingual Studies project (since 2022), exploring language-urban morphology interactions. Key research partnerships include collaborations with: Jakob Schwalb-Willmann (Earth Observation Research Cluster) Hannes Taubenböck (DLR/Technical University Munich) John F. Mas (UNAM) Luis Inostroza (University of Hamburg) Recent publications examine: Urban heat patterns through social media and satellite data Global urban form homogenization Migrant mobility analysis via Twitter Geospatiality of text data Ecological integrity assessments

• Machine Learning
• Deep Learning
• Applied Mathematics
• +۶ مورد دیگر

Gitta Astrid Hildegard Kutyniok is a Professor in the Department of Physics and Technology at UiT The Arctic University of Norway. Her research spans machine learning, applied mathematics, and signal processing, with a focus on theoretical foundations and practical applications.

Ivan Totمشاهده پروفایل

دانشیار

• Information Systems
• Biometric Verification
• Mobile Applications
• +۴ مورد دیگر

Ivan Tot is an Associate Professor at the University of Defense's Military Academy in Belgrade, with a career spanning roles as Teacher (1999-2010) and Assistant Professor (2015). His academic foundation includes a Doctorate from the Military Academy (2010), a Master's from the University of Kragujevac (2008), and an undergraduate degree from the Military Technical Academy (1999). His research bridges Information Systems , Biometric Verification , and IoT Security , with applications in defense logistics, mobile communications, and healthcare technology. Recent publications explore biometric maternity verification, encrypted SMS applications, and military data-gathering techniques. He contributed to key projects: New information technologies for analytical decision-making (Ministry of Science, 2010-2016) Performance Analysis of Tactical Telecommunications Systems (Military Academy, 2010-2015) Database models for logistics decision support (Military Academy, 2013-2015) He authored the textbook Information Systems for Decision Support (2013) and maintains a focus on practical, security-oriented solutions.

Myriam Servièresمشاهده پروفایل

استاد

• Computer Science
• Geolocation
• Augmented Reality
• +۶ مورد دیگر

Myriam Servières is a Professor of Computer Science at Centrale Nantes, where she has taught since 2006. She currently serves as Director of AAU-CRENAU and Deputy Director of the AAU Laboratory. Her academic journey includes a PhD in Applied Computer Science from the University of Nantes (2002-2005) and an engineering diploma from École Centrale de Nantes (1999-2002). Her research explores the intersection of digital technology and urban environments, with key interests in: Geolocation : Developing advanced positioning systems for urban navigation Augmented/Virtual Reality : Creating multisensory urban simulations 3D Modeling : Reconstructing and analyzing urban spaces Citizen Sensing : Engaging communities in environmental monitoring Her recent publications demonstrate strong focus on VR-based urban perception analysis, pedestrian navigation systems, and geospatial data processing. Work frequently appears in premier journals like ISPRS and IEEE Transactions . She leads significant initiatives including the IRSTV 'Urban Tomography' research axis and the '3D geospatial data' prospective action. Her teaching spans core computer science courses and specialized programs in digital cities. At AAU-CRENAU, she directs research on computational urban analysis, collaborating across disciplines to develop new methods for understanding and designing urban spaces through digital mediation.

Przemysław Falkowski-Gilskiمشاهده پروفایل

استادیار

• Geoinformatics
• Smart Cities
• IoT (Internet of Things)
• +۵ مورد دیگر

Dr. Przemysław Falkowski-Gilski serves as an Assistant Professor at the Department of Geoinformation Systems within the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology. His research bridges geospatial engineering with computational intelligence, focusing on real-world applications in urban environments and sensor networks. His primary research domains include: Geoinformatics and GNSS positioning systems IoT infrastructure for smart cities Swarm intelligence optimization algorithms Edge computing resource allocation AI-driven data analysis for urban mobility Recent publications (2024-2025) reveal a cohesive research trajectory addressing critical challenges in smart city resource management through UAV-assisted edge computing, Android-based urban navigation, and sensor ontology integration. His work consistently applies advanced optimization techniques—such as Golden Jackal and Beetle Swarm algorithms—to solve practical problems in geospatial data processing and IoT systems, demonstrating strong interdisciplinary methodology.

Shayan Shamsمشاهده پروفایل

استادیار

• Artificial Intelligence
• Deep Learning
• Machine Learning
• +۶ مورد دیگر

Dr. Shayan Shams is an Assistant Professor in the Department of Health Data Science and Artificial Intelligence at UTHealth Houston's McWilliams School of Biomedical Informatics, where he has been faculty since 2019. He holds a PhD in Computer Science from Louisiana State University and an MEng in Robotics from University of Malaya. His research group is affiliated with the Center for Secure Artificial Intelligence for Healthcare (SAFE). Dr. Shams' research integrates artificial intelligence, high-performance computing, and big data analytics to address healthcare challenges. Key focus areas include: Unsupervised/semi-supervised deep learning for medical computer vision High-performance computing infrastructure for genomic data Hardware acceleration (GPU/FPGA) for medical AI Knowledge transfer across clinical domains (radiology, pathology, neurology) Edge device implementation for personalized medicine His recent publications (2016-2019) demonstrate evolving work in deep learning frameworks for healthcare applications, spanning medical imaging diagnostics, genomics pipelines, disaster response analytics, and distributed computing infrastructure. Research consistently leverages convolutional networks and generative models for biomedical problem-solving. Dr. Shams actively seeks graduate students and postdoctoral researchers for projects at the intersection of AI and healthcare. He has served as reviewer for premier conferences including MICCAI, IEEE ICDCS, and ACM-BCB.

Keng-Chi Changمشاهده پروفایل

استادیار

• Computational Social Science
• Political Methodology
• Digital Politics
• +۳ مورد دیگر

Keng-Chi Chang is an Assistant Professor in the Department of Quantitative Social Science at Dartmouth College. His research employs computational tools including AI and Large Language Models to investigate how technology and media shape political processes. Specific interests include censorship circumvention, online image-sharing behavior, and algorithmic recommendation systems for short-form video content. Education: • Ph.D. Political Science (Computational Social Science), University of California San Diego • M.S. Computer Science, University of California San Diego • B.A. Economics, National Taiwan University Research Focus: Chang explores the intersection of digital technology and political behavior, with emphasis on visual media analysis, censorship dynamics, and social media algorithms. His work examines how crises like COVID-19 trigger information-seeking behaviors and how platform features like live-stream chats influence political perceptions. Publications: Recent works demonstrate a strong focus on computational methods applied to political communication, including neural network interpretability, meme propagation patterns, and image-based credibility assessment. Publications span PNAS, Journal of Communication, and premier CS conferences. Funding & Awards: • NSF/APSA Dissertation Grant • Rapoport Family Foundation Research Grant