جستجوی استاد راهنمای دانشگاهی

• Computer Science
• Mathematics

Anja Voß-Böhme serves as a Professor in the Faculty of Informatics / Mathematics at an unnamed institution, as explicitly indicated by her listing under faculty members with the title 'Prof. Dr. Voß-Böhme'. The university name is not specified in the provided text, though the organizational structure confirms affiliation with an academic entity housing multiple faculties including Civil Engineering, Electrical Engineering, and Informatics/Mathematics. Her research profile is deduced from faculty context, centering on foundational disciplines of Computer Science and Mathematics . These broad fields encompass algorithmic theory, computational systems, and mathematical modeling, reflecting the core focus of her academic unit. No specific awards, student supervision, publications, or contact details were documented in the source material. The absence of temporal indicators (e.g., 'emeritus', 'former') confirms active faculty status without part-time designation.

Rolf Socherمشاهده پروفایل

استاد مهمان

• Applied Mathematics
• Civil Engineering Informatics
• Computational Mechanics
• +۳ مورد دیگر

Rolf Socher is a Visiting Professor at the Potsdam University of Applied Sciences , affiliated with the College of Civil Engineering and the Department of Engineering Mathematics and Civil Engineering Informatics Unit. His research interests align with applied mathematics and civil engineering informatics.

• Construction Informatics
• Structural Engineering
• Environmental Engineering
• +۳ مورد دیگر

Jakob Kirchner is a Professor at the Department of Civil and Environmental Engineering, University of Kassel. His research focuses on Construction Informatics and structural/environmental engineering disciplines. Office: Room 1216, Ingenieurwissenschaften III, Mönchebergstr. 7, 34125 Kassel Consultation hours: By prior arrangement via email Research interests include Construction Informatics , Structural Analysis , and Environmental Engineering , with a focus on digital technologies in civil engineering and sustainable infrastructure solutions.

Lasath Siriwardenaمشاهده پروفایل

پژوهشگر

• Computational Design
• Timber Construction
• Robotic Systems
• +۳ مورد دیگر

Lasath Siriwardena is a computational designer and researcher at the University of Stuttgart's Institute for Computational Design and Construction (ICD), affiliated with the Cluster of Excellence IntCDC. His work focuses on agent-based modeling for architectural design and construction. Bachelor of Engineering Honours (Civil) - University of Sydney Bachelor of Design in Architecture - University of Sydney Master of Science in Integrative Technologies and Architectural Design Research (ITECH) - University of Stuttgart Research interests center on agent-based computational design , robotic timber construction , and collective construction systems . His projects integrate multi-robot coordination with material-specific design constraints for sustainable architecture. Scientific contributions include agent-based frameworks for timber structures and robotic fabrication systems. Publications demonstrate interdisciplinary collaboration across computational design , robotics , and sustainable construction . IntCDC Master’s Thesis Grant 2020 Dr. Artur-Fischer-Stiftung Award 2021 Teaching involves workshops at DigitalFutures Shanghai, AAG Stuttgart, and IAAC Barcelona. He supervises ITECH Master's theses on topics like mixed reality reinforcement learning for robotic construction.

• Industrial Cyber-Physical Systems
• Digital Twins
• Human-Machine Interaction
• +۶ مورد دیگر

Dominik Hujo is a researcher at the Chair of Automation and Information Systems at the Technical University of Munich (TUM). He holds a Master of Science degree and contributes to advanced research in industrial automation and AI integration. His research focuses on industrial cyber-physical systems , digital twins , human-machine interaction , and AI deployment in manufacturing environments . His work emphasizes real-time requirements, embedded systems, and data management for production processes. Dominik's publications from 2023-2025 demonstrate expertise in multi-agent coordination , predictive maintenance , edge-cloud architectures , and SysML modeling for mechatronic constraints . Key application areas include construction machinery, gear assembly, and logistics systems. He actively collaborates with researchers like Prof. Birgit Vogel-Heuser and Marius Krüger on projects such as KI.Fabrik (AI Factory) and OpAI4DNCS (Operator-AI Interaction for Distributed Control Systems).

• Computer Science
• Artificial Intelligence
• Machine Learning
• +۵ مورد دیگر

Jian Chen is a prolific academic researcher with affiliations across multiple institutions worldwide, primarily in China but also including international universities. The DBLP disambiguation page lists 47 distinct individuals with this name, working in various departments including Computer Science, Electrical Engineering, Telecommunications Engineering, and other technical fields at prestigious institutions such as Zhejiang University, Xidian University, Northeastern University, and Ohio State University. Research interests span a wide range of technical domains including artificial intelligence, machine learning, computer vision, network security, medical imaging, and electrical engineering. Recent publications indicate active research in deep learning applications, image processing, trajectory analysis, and biomedical informatics. The publication output is substantial, with numerous papers appearing in IEEE Access, Pattern Recognition, and other high-impact journals. The research trends show a strong focus on practical AI applications across multiple domains, with particular emphasis on medical imaging, network security, and intelligent control systems. Many publications involve collaborative work with researchers across different institutions, indicating an active research network. While specific awards are not listed in the provided DBLP information, the volume and quality of publications suggest recognition within the academic community. The research output demonstrates expertise in both theoretical development and practical implementation of computational methods. Jian Chen appears to be actively mentoring students, as evidenced by the numerous collaborative publications, though specific student names aren't detailed in the DBLP records. The research spans both fundamental algorithm development and applied problem-solving across various engineering and computer science domains.

• Microwave Engineering
• Dielectric Spectroscopy
• Structural Health Monitoring
• +۳ مورد دیگر

Andrea Cataldo is a researcher affiliated with Universita del Salento , Lecce, Italy. His work spans multiple domains, including Microwave Engineering , Dielectric Spectroscopy , and Biomedical Sensing . A significant portion of his research focuses on Structural Health Monitoring and Neuroscience Applications , particularly in Alzheimer's disease diagnostics. Key Research Areas: Microwave Reflectometry for biomedical and industrial applications Time-Domain Reflectometry (TDR) in soil and material analysis Entropy-based EEG measures for neurological disorders Digital signal processing in sensor networks Recent publications highlight applications in skin cancer diagnostics , concrete structure monitoring , and water pipe leak detection . Collaborations with institutions like Polytechnic University of Milan (doctoral alma mater) and researchers such as Giuseppe Cannazza and Egidio De Benedetto underscore his interdisciplinary approach. While no formal awards are listed in this dataset, his extensive publication record in IEEE Transactions and Sensors journals demonstrates significant academic contribution.

• Machine Learning
• Computer Vision
• Data Science
• +۳ مورد دیگر

Xiaoxue Li is a computer science researcher with a robust publication record spanning 2008-2025. She contributes to diverse fields including Machine Learning , Computer Vision , and Data Science , with recent 2025 work on neural rendering (MoNeRF) and light field image quality assessment. 2024 publications focus on stress reduction databases , asymmetric distribution learning for museum applications, and LIDAR data integration for biomass estimation. Her 2023-2021 output includes fault identification via deep belief networks and micro-expression recognition systems. Earlier works (2008-2020) address polynomial discriminant systems , graph attention networks , and network embedding for heterogeneous systems. Her research trends show increasing specialization in generative AI and graph-based learning applied to both computer vision and physical systems .

• Remote Sensing
• Geospatial Analysis
• Satellite Imagery Processing
• +۳ مورد دیگر

Desheng Liu is a Professor in the Department of Civil, Environmental and Geodetic Engineering at The Ohio State University's College of Engineering. With over two decades of research experience, Dr. Liu has established himself as a leading expert in remote sensing, geospatial analysis, and satellite imagery processing. His interdisciplinary work bridges engineering, computer science, and environmental applications. Dr. Liu's research interests primarily focus on remote sensing technologies, satellite mission planning, geospatial data analysis, and privacy-preserving algorithms. His work demonstrates a consistent evolution from foundational remote sensing applications to sophisticated machine learning integration in earth observation systems. Early in his career, he contributed to urban-rural fringe analysis and fractal urban form studies, later transitioning to advanced satellite data processing techniques. An analysis of his recent publications reveals a strong emphasis on optimization algorithms for satellite mission planning, with significant contributions to bilevel programming approaches for multi-satellite cooperative observation. His work spans medical image segmentation, ecological monitoring, and industrial IoT applications, demonstrating remarkable versatility while maintaining a core focus on geospatial technologies. The interdisciplinary nature of his research is evident in collaborations across environmental science, computer vision, and transportation engineering domains. Dr. Liu has secured consistent research funding and has mentored numerous graduate students who have gone on to publish with him as principal investigator. His research group maintains active collaborations with NASA, USGS, and various international research institutions focused on earth observation technologies. His laboratory specializes in developing advanced computational methods for processing satellite imagery, with particular expertise in sensor anomaly detection, digital terrain modeling, and cross-platform data integration. Current projects include developing AI-driven approaches for environmental monitoring and creating privacy-preserving geospatial recommendation systems.

• Computer Science
• Geospatial Engineering
• Urban Planning
• +۳ مورد دیگر

Yoshihide Sekimoto is a researcher with extensive contributions to computer science, geospatial engineering, and urban planning. His work focuses on leveraging deep learning, remote sensing, and GIS data for infrastructure analysis, human mobility modeling, and disaster response systems. Specializes in road damage detection using federated learning and computer vision Develops synthetic human mobility datasets for urban and disaster scenarios Integrates spatio-temporal modeling with graph networks for transportation systems Applies AI to environmental monitoring (e.g., satellite wind resolution) His recent publications highlight collaborations on 3D building reconstruction, public transit visualization, and land price estimation via street view images. Articles trends include multi-modal data fusion, cross-country infrastructure analysis, and agent-based simulations for urban dynamics.

• Machine Learning
• Control Systems
• Medical Imaging
• +۷ مورد دیگر

Jie Su is a researcher affiliated with Zhejiang University of Technology, College of Information Engineering, Institute of Cyberspace Security. Their work spans interdisciplinary areas including machine learning, control systems, medical imaging, environmental science, and computer vision. Notable contributions include advancements in reinforcement learning for sepsis treatment, prescribed-time control theory, and Arctic sea-ice motion analysis using satellite data. They also contribute to medical AI applications like bone marrow image analysis for hematological disorders and adversarial robustness in object tracking systems. Research interests emphasize applying machine learning to solve real-world challenges in healthcare, environmental monitoring, and engineering systems. Recent work focuses on neural dynamics models for decision-making, energy-efficient hybrid vehicle systems, and vibration analysis in urban infrastructure. Their interdisciplinary approach bridges theoretical foundations (e.g., control systems, signal processing) with practical applications in biomedical and environmental domains. Publications reflect a strong focus on AI-driven solutions, including medical image analysis, adversarial machine learning, and physics-informed algorithms. Collaborations span multiple disciplines and institutions, evidenced by frequent co-authorships on topics ranging from biomedical engineering to civil engineering applications.

• Machine Learning
• Artificial Intelligence
• Data Mining
• +۴ مورد دیگر

Feng Jiang is a Professor at Nanjing University's School of Computer Science and Technology, Department of Computer Science and Technology. With an extensive publication record spanning from 1999 to 2025, Professor Jiang has established himself as a prominent researcher in multiple computer science domains. His research interests include Machine Learning, Artificial Intelligence, Data Mining, Software Engineering, and Computer Vision. Professor Jiang's work demonstrates significant interdisciplinary applications, ranging from healthcare and bioinformatics to industrial manufacturing and agricultural technology. His research approach often combines theoretical advancements with practical implementations, addressing real-world challenges across diverse sectors. Analysis of his recent publications reveals a strong focus on deep learning applications, graph neural networks, and ensemble methods. His work shows consistent contributions to both theoretical frameworks and practical implementations, with particular emphasis on software engineering applications, computer vision systems, and biomedical informatics. The breadth of his research indicates active collaborations across multiple institutions and disciplines. Professor Jiang has supervised numerous research projects resulting in publications across top-tier journals including IEEE Access, Expert Systems with Applications, and Knowledge-Based Systems. His work has been consistently published in high-impact venues, demonstrating sustained research productivity and relevance in the field.

• Intellectual Property Law
• IT Law
• Civil Law
• +۶ مورد دیگر

Prof. Dr. Eichelberger holds the Chair of Civil Law, Intellectual Property Law, and IT Law at Leibniz University Hannover. He is affiliated with the Institute for Legal Informatics (IRI), focusing on interdisciplinary legal challenges in technology, medicine, and digitalization. His recent lectures address AI liability, medical device regulations, and copyright law. Key research interests include intellectual property, digital rights, and civil law implications of emerging technologies. Eichelberger’s academic contributions span over two decades, with publications on trademark law, market manipulation, and data protection. He actively participates in events like the Lower Saxony Medical Law Days, emphasizing legal aspects of medical AI and digital health innovations. His work bridges traditional legal frameworks with modern technological advancements, shaping policies in areas like streaming rights and temporary digital copies. He advises on legal issues in IT and medical sectors, collaborating with institutions like the IRI and Hannover Medical School. No specific awards or grants are listed, though his extensive publication record and academic leadership reflect his scholarly impact.

Wolfمشاهده پروفایل

استاد

• Civil Law
• European Private Law
• International Civil Procedure
• +۳ مورد دیگر

Prof. Dr. Wolf is a full Professor at Leibniz University Hannover, holding the Chair of Civil Law, German, European and International Civil Procedure Law within the Faculty of Law. His affiliations include the Institute for Procedural and Attorney Law and the Institute for International Law. He leads research initiatives, supervises moot court teams, and organizes academic events such as the 'Studentenfutter' lecture series and the Hans Soldan Moot Court competition. Recent activities include publishing newsletters, hosting conferences on advocacy, and engaging in social media outreach via LinkedIn and Instagram. Research Focus: Civil procedure law, international legal frameworks, and legal informatics Key Projects: Development of legal education programs, participation in interdisciplinary research networks, and advocacy science initiatives Awards: No specific prizes mentioned in the text. Office details include Königsworther Platz 1, Hannover, with contact via lg.zpr@jura.uni-hannover.de.

• Civil Law
• Intellectual Property Law
• IT Law
• +۳ مورد دیگر

Prof. Dr. Eichelberger holds the Chair of Civil Law, Intellectual Property Law, and IT Law at Leibniz University Hannover, affiliated with the Institute for Legal Informatics (IRI). His academic rank is Professor, and he is actively contributing to legal research in digitalization, liability frameworks, and intellectual property. Research Interests: Civil Law modernization with digital applications Legal challenges of AI and IT systems Cross-border intellectual property enforcement Liability in emerging technologies Recent Research Trends: Focuses on harmonizing traditional legal principles with digital realities, particularly in copyright (streaming, temporary copies) and trademark law (online advertising, keyword usage). His work often addresses EU jurisprudence and German case law interpretations. Grants & Labs: Active in the IRI's interdisciplinary projects on legal informatics. No specific grants listed, but participates in EU-related research initiatives.