جستجوی استاد راهنمای دانشگاهی

Maryam Fouad Abdelatyمشاهده پروفایل

پژوهشگر

• Deep Learning
• Medical Ultrasound Imaging
• Harmonic Imaging
• +۳ مورد دیگر

Maryam Fouad Abdelaty is a researcher in the Department of Medical Engineering at Ruhr University Bochum, where she completed her PhD in September 2024. Her work focuses on applying deep learning techniques to medical ultrasound imaging, including harmonic imaging, synthetic data generation, and contrast-enhanced imaging. She holds a bachelor's degree in electronics engineering from the German University in Cairo (2015), a master's degree in bio-impedance spectroscopy for non-invasive glucose monitoring (2017), and a Dr.-Ing. degree from Ruhr University Bochum (2024). Bachelor's: German University in Cairo (2015) Master's: Thesis on joint NIR and bio-impedance spectroscopy for glucose monitoring (2017) PhD: Focused on deep learning in medical ultrasound (2024) Her research emphasizes improving imaging resolution, reducing invasiveness, and enhancing diagnostic accuracy through AI-driven methodologies. Recent work includes comparative studies of deep learning vs. traditional amplitude modulation in contrast-enhanced ultrasound, as well as semi-supervised approaches for needle localization. Her publications span conferences like IEEE Ultrasonics Symposium and IEEE ISBI, with a focus on deep learning applications in biomedical imaging. Notable contributions include synthetic ultrasound signal generation using GANs and single-shot harmonic imaging techniques. While no formal advising or grants are explicitly listed, her research demonstrates significant contributions to medical imaging innovation. No lab affiliations or teams are mentioned in the provided text.

Thomas Hobigerمشاهده پروفایل

استاد

• Satellite Navigation
• Inertial Navigation
• Sensor Fusion
• +۷ مورد دیگر

Thomas Hobiger is a Professor and Head of the Institute of Navigation at the University of Stuttgart, Germany, and serves as Dean of Studies for Geodesy and Geoinformatics under Faculty 6: Aerospace Engineering and Geodesy. His research focuses on satellite navigation, inertial navigation systems, sensor fusion, and geodetic applications such as precise orbit determination and GNSS meteorology. He leads a team developing high-precision positioning solutions for autonomous vehicles and airspace surveillance systems. Hobiger holds a PhD from Vienna University of Technology (2005) and has held tenured positions at institutions including Chalmers University of Technology (Sweden) and Japan’s National Institute of Information and Communications Technology (NICT). Notable awards include the AGU Geodesy Section Award (2018) and the NVIDIA Global Impact Award (2016 finalist). He is actively involved in editorial roles for journals like Journal of Geodesy and holds leadership positions in international geodetic organizations. Research interests span navigation hardware/software development, real-time kinematic positioning, and interdisciplinary projects combining GNSS with meteorology and oceanography. His work emphasizes practical applications through collaborations with industry and space agencies, such as JAXA and ESA.

Martin Botteckمشاهده پروفایل

استاد

• Multimedia Systems
• Embedded Systems
• Wireless Communication
• +۱۲ مورد دیگر

Prof. Dr.-Ing. Martin Botteck is a faculty member at South Westphalia University of Applied Sciences, where he leads courses in the Department of Engineering and Economics. He holds a professorship in engineering disciplines, with a focus on multimedia systems and embedded technologies. Education: Dipl.-Ing. and Dr.-Ing. in Electrical Engineering from TU Dortmund Research Interests: Multimedia systems, embedded architectures, digital signal processing, wireless communication, and virtualization Recent Work: Developments in music data analysis frameworks, power modeling for embedded processors, and security through virtualization Publications: Spanning IEEE journals, international conference proceedings, and book chapters His academic contributions include peer-reviewed articles on mobile media search, music classification, and embedded device security. He holds the IEEE Senior Member distinction and has served on program committees for international conferences.

• Human-Computer Interaction
• Model-Driven Engineering
• Interactive Systems Design
• +۷ مورد دیگر

William J. Giraldo is a researcher in the fields of human-computer interaction, model-driven engineering, and interactive systems design. He has published extensively from 2007 to 2019, collaborating with prominent researchers such as Manuel Ortega, César A. Collazos, Ana I. Molina, and Oscar Pastor. His work appears in journals like Software Quality Journal , Information Systems , and Journal of Systems and Software , as well as conferences including Interacción, CAiSE, and CRIWG. His research interests include: Human-Computer Interaction (HCI) Model-Driven Engineering (MDE) Usability and quality in software modeling Interactive and groupware system design Educational technology and e-learning interfaces User interface development frameworks His recent publications focus on evaluating modeling language quality, integrating technical debt into MDE, participatory design for educational systems, and creating frameworks for UI development—especially for older adults and video-based systems. The articles show a consistent trend toward improving software quality, usability, and accessibility through model-based approaches. While no scientific awards are listed in the provided text, his collaborative work indicates strong integration within academic research networks in software engineering and HCI. He has contributed to advising and research teams, particularly in projects involving model-driven development of groupware and educational systems. His work often involves empirical studies and tool development, suggesting active engagement in both theoretical and applied research. William J. Giraldo has been involved in the development of frameworks such as the Activity Taxonomy (ATx) and tools for Android code generation from conceptual models, indicating a focus on practical, implementable solutions in software engineering and HCI.

Michael Rybaمشاهده پروفایل

استاد

• Business Informatics
• Software Engineering
• Internet Technologies
• +۳ مورد دیگر

Prof. Dr. habil. Michael Ryba is a Professor at Osnabrück University of Applied Sciences, Campus Lingen, within the Faculty of Management, Culture and Technology. He serves as Dean of Studies and Head of the Institute of Management and Technology, focusing on business informatics, software engineering, and internet technologies. Specializes in collaborative systems for SME networks Expertise in CAE software development Extensive publication record in distributed systems and design methodologies His research emphasizes cross-domain integration , dynamic networked environments , and object-oriented engineering frameworks . Recent works explore semantic-based brokering, self-consulting IT systems, and competitive production networks. He has contributed to Eiffel programming language applications and EDIF standards. As an educator, he teaches mathematics for business informatics, software engineering, and distributed systems. His career spans roles at universities in Kaiserslautern and Stuttgart, with habilitation in computer science (2002) and promotion (1995).

Sven Overhageمشاهده پروفایل

استاد

• Industrial Information Systems
• Service-Oriented Development Methods
• Agile Software Development
• +۴ مورد دیگر

Prof. Dr. Sven Overhage is a tenured professor at the Chair of Industrial Information Systems within the Faculty of Business Informatics and Applied Computer Science at the Otto-Friedrich University of Bamberg. He holds a doctorate and habilitation from the University of Augsburg and has held academic positions including a W3 professorship at the University of Augsburg and lecturing roles at TU Darmstadt and the University of Liechtenstein. Research Interests : Service-oriented development methods, agile approaches, advanced analytics, business process modeling, and digital transformation strategies. His work bridges theoretical innovation with practical applications in industrial settings. Scientific Awards : Best Reviewer Award (International Conference on Business Informatics, 2015) Best Paper Award (MobIS, 2008) Nomination for GI Dissertation Award (2006) Best Paper Award (WI Conference, 2005) Microsoft XML Web Service Competition (Germany) - 2nd place (2002) Leadership Roles : Liaison Lecturer at Bavarian Elite Academy Former Vice Dean of Faculty of Business Informatics and Applied Informatics Chairman of Examination Board for multiple degree programs

David Stielerمشاهده پروفایل

پژوهشگر

• Agent-Based Modeling
• Modular Precast Concrete Construction
• Combinatorial Optimization
• +۳ مورد دیگر

David Stieler is a Research Associate at the Institute of Computational Design and Construction (ICD) at the University of Stuttgart. His work focuses on agent-based modeling and modular precast concrete construction , particularly through the Cluster of Excellence IntCDC . Education: Dipl.-Ing. in Architecture, University of Innsbruck, Austria Research Interests include: Combinatorial optimization for component reuse Additive manufacturing in construction Agent-based systems for fabrication-aware design Sustainable, low-carbon building strategies Flow production methods for modularization Scientific Contributions span computational frameworks for circular construction, optimization algorithms for reinforced concrete reuse, and digital workflows for earth-textile hybrid systems. Awards : Dean's Prize of the Faculty of Architecture (University of Innsbruck)

• Human Activity Recognition (HAR)
• Wearable Computing
• Sensor-based Systems
• +۳ مورد دیگر

Paul Lukowicz is a distinguished researcher affiliated with the University of Kaiserslautern and DFKI, Kaiserslautern, Germany. His work focuses on Human Activity Recognition (HAR) using wearable sensors, Augmented Reality for surgical navigation, and Quantum-Inspired Computing for AI efficiency. He leads interdisciplinary projects involving capacitive sensing , bio-impedance , and large language models (LLMs) in real-world applications. Research Trends from his recent publications (2024-2025) reveal a focus on Energy-efficient AI for wearables Context-aware AR systems Physics-informed neural networks Quantum machine learning Human-in-the-loop training frameworks Medical device innovation His work spans health applications , industrial IoT , and human-AI collaboration , often involving partnerships with institutions like University of Passau and international collaborators. Key technical approaches include sensor fusion , cross-modal learning , and edge computing for wearable systems.

• Internet of Things (IoT)
• Edge Computing
• Semantic Reasoning
• +۴ مورد دیگر

Jukka Riekki is a Professor at the University of Oulu , Finland, with a focus on Internet of Things (IoT) , Edge Computing , and Semantic Reasoning . His work bridges theoretical and applied research in smart systems, urban informatics, and distributed architectures. Major research areas: IoT, Edge Computing, Semantic Web, Mobile Agents, Smart Cities Key collaborations: University of Oulu, Technical University of Munich, Aalto University Research Trends from 15 recent articles show expertise in: Edge-native architectures (EDISON, Neural Pub/Sub) Semantic reasoning for context-aware IoT systems Privacy-as-a-Service frameworks GPU-accelerated network function virtualization Collaborative AI across 5G networks Scientific Contributions include: Foundational work on IoT semantic data provisioning Innovative approaches to mobile agent-based systems Novel edge server placement algorithms Privacy-preserving models for digital health Advising spans IoT, edge computing, and urban informatics research, with 36 joint publications with student Xiang Su . No explicit grant details found, but extensive involvement in academic collaborations with institutions across Europe and Asia.

• Internet of Things
• Human-Computer Interaction
• Ambient Intelligence
• +۵ مورد دیگر

Fulvio Corno is a Professor in the Department of Control and Computer Engineering at the Polytechnic University of Turin, Italy. With a research career spanning over three decades since 1992, he has established himself as a prominent researcher in Internet of Things, Human-Computer Interaction, and Ambient Intelligence. His research focuses on making technology accessible to end-users, particularly through work on End-User Development in IoT systems, assistive technologies for people with disabilities, and security challenges in IoT environments. Corno's work bridges the gap between technical complexity and user needs, developing tools that simplify interaction with smart environments. His publication trends show a consistent focus on IoT systems, with recent work emphasizing security issues for novice programmers, computational notebooks for prototyping, and natural language interfaces for configuring smart environments. His research has evolved from foundational work on semantic approaches to IoT to practical tools addressing real-world implementation challenges. Corno has collaborated extensively with researchers including Luigi De Russis, Alberto Monge Roffarello, and Dario Bonino, producing significant contributions to the field of smart environments and end-user programming. He has contributed to education in Ambient Intelligence, developing courses that prepare engineers for the challenges of intelligent environments, and has supervised numerous students in this emerging field. His laboratory work centers on practical implementations of IoT systems, with projects spanning healthcare support systems, notification management across devices, and accessibility solutions for people with motor disabilities.

• Semantic Web
• Ontology-Based Data Access
• Knowledge Graphs
• +۳ مورد دیگر

Martin Giese is affiliated with the University of Oslo (Department of Informatics) and the University Clinic Tübingen (Department of Cognitive Neurology). He is a researcher with a focus on semantic technologies, ontology-based data access, and visual query systems. Research Themes : Semantic Web, Ontology Engineering, Knowledge Graphs, Geological Informatics, Probabilistic Logic, Automated Reasoning Key Collaborations : Siemens, Statoil, Norwegian Petroleum Directorate, and various European research institutions Technical Contributions : Developed visual query systems (OptiqueVQS), ontology-driven geological modeling (GeoFault), and semantic data integration frameworks for industrial applications. His work spans both theoretical logic and practical implementations in big data environments. Publications : Recent articles focus on fault ontologies, process representation, and semantic embeddings. Earlier work includes foundational research in automated theorem proving and UML formalization.

• Semantic Web
• Knowledge Graphs
• Machine Learning
• +۳ مورد دیگر

Ahmet Soylu is a researcher at Oslo Metropolitan University , Norway, with a focus on Semantic Web , Knowledge Graphs , and Machine Learning applications in Cloud Computing and Smart Manufacturing . His work bridges semantic technologies with data-driven solutions for industrial contexts, particularly in collaboration with Bosch . Key research themes: Knowledge Graph Embeddings, Cloud Cost Optimization, Industrial Data Analytics Collaborations: Dumitru Roman, Evgeny Kharlamov, Radu Prodan Recent publications (2024–2025) explore hyperbolic knowledge graph embeddings, sustainable LLM inference, and cloud storage optimization. These works integrate semantic modeling with ML for edge-cloud systems and industrial data extrapolation. His methodology emphasizes graph-based approaches for cloud cost modeling, microservice scheduling, and AI innovation discovery in open-source repositories. Applications include welding quality monitoring, maritime supply chain optimization, and semantic ML pipelines.

• Database Systems
• Data Stream Processing
• Uncertain Data Management
• +۴ مورد دیگر

Tingjian Ge is an academic researcher with a focus on database systems, graph stream processing, and uncertain data management. His work spans theoretical foundations and practical implementations in data science, with a career trajectory showing increasing specialization in real-time network analytics and secure data processing. PhD from Brown University (2009) Active in top-tier venues: ICDE, KDD, VLDB, WWW Research Interests include: Approximate query processing under resource constraints Graph stream modeling and edge shedding techniques Security and privacy in data systems Temporal network analysis and predictive modeling Optimization of multi-core and cloud-based query execution Scientific Contributions demonstrate expertise in: Developing sketch data structures for graph streams Creating fairness-aware prediction frameworks Advancing differential privacy mechanisms Designing efficient temporal subgraph algorithms

Robert Fischbachمشاهده پروفایل

پژوهشگر

• 3D Integration
• Heterogeneous Systems
• Layout Design
• +۳ مورد دیگر

Dr. Robert Fischbach is a researcher at the Institute of Micro and Electronic Systems (FET) at Dresden University of Technology. His work focuses on 3D integration, heterogeneous system design, layout verification, and thermal analysis of advanced electronic packaging solutions. Key research areas: 3D Integrated Circuits Thermal and Reliability Engineering Design Automation & Optimization Interposer-Based Systems He has contributed extensively to co-design methodologies, micro-transfer printing assembly, and XML/XSLT-based simulation frameworks. Collaborative work includes automotive mission profiles and standardized formats for electronics reliability. Notable publications span topics in layout verification, thermal modeling, and heterogeneous packaging. His collaborations include researchers like J. Lienig, A. Krinke, and T. Horst.

Daniela Nicklasمشاهده پروفایل

استاد

• Data Management
• Sensor-Based Applications
• Mobile Software Systems
• +۵ مورد دیگر

Prof. Dr. Daniela Nicklas is a full professor at the University of Bamberg, Germany, holding the Chair of Mobile Systems within the Faculty of Business Information Systems and Applied Computer Science since 2014. She serves as the degree program representative for B.Sc. Informatik, speaker of the Bamberg Graduate School for Smart City Science (founded November 2024), and ambassador for the Gesellschaft für Informatik. She is also an elected member of the Review Board for Computer Science at the German Research Foundation (DFG). Her research focuses on bridging the gap between physical and digital worlds through data management for sensor-based systems and context-aware applications. Her work emphasizes data stream management technologies applied to smart cities, precision farming, pervasive computing, and situational awareness. She has developed innovative approaches for quality-aware data stream processing, sensor data management, and context modeling. Her research demonstrates how mobile computing systems can transform urban environments and agricultural practices through real-world applications. Her recent publications reveal strong trends in privacy-preserving techniques for mobility data, smart city data quality challenges, anomaly detection in stream data, and IoT device management. These works reflect her ongoing commitment to addressing practical challenges in sensor-based applications while maintaining rigorous academic standards. IBM Exploratory Stream Analytics Innovation Award for 'Data Stream Technology for Future Energy Grid Control' (2009) Prof. Nicklas actively participates in academic service, having chaired numerous conferences including BTW 2025 as General Co-Chair and PerCom 2020 as Program Chair. She serves on the editorial boards of Datenbank-Spektrum and previously for International Journal of Pervasive Computing and Communications. She also serves as a reviewer for multiple funding organizations including DFG, DAAD, and Alexander von Humboldt Foundation. She manages the Smart City Research Lab Bamberg with Professors Marc Redepenning and Astrid Schütz, which serves as a test bed for smart city applications in real-world environments. Her leadership extends to the Living Lab Bamberg infrastructure, which provides a practical environment for exploring smart city research challenges in the wild. She frequently collaborates with international institutions, as evidenced by her invited talks at Osaka University, Nara Institute of Science and Technology, and other international venues in 2024.