جست‌وجوی استاد و پژوهشگر

Alexander Dunkelمشاهده پروفایل

پژوهشگر

• Landscape Architecture
• Environmental Planning
• Data Engineering
• +۴ مورد دیگر

Dr. Alexander Dunkel is a Senior Scientist (tenure track) at the Leibniz Institute of Ecological Urban and Regional Development in Dresden, Germany. He also serves as a Research Associate at TU Dresden's Cartographic Communication department and previously held roles in the DFG-Schwerpunktprogramm 'VGI: Interpretation, Visualisierung und Social Computing' and the Department of Landscape Architecture & Environmental Planning at UC Berkeley. Education: Ph.D. in Landscape and Environmental Planning (Dr.-Ing., TU Dresden, 2010), MA in Landscape Architecture (Dipl.-Ing., TU Dresden, 2009) His research bridges application-oriented disciplines with fundamental data science, focusing on open-source tools for public participation , crowdsourcing in landscape perception , and geospatial analysis of social media data . He has developed workflows integrating machine learning and cartography for urban studies. Recent work includes modular geospatial semantic search frameworks leveraging multilingual text embeddings. His selected publications and technical contributions emphasize reproducibility, scalable data analysis, and privacy-aware designs. Key Awards: Editors’ Choice (Landscape and Urban Planning), Weddle Prize, State of Saxony Fellowship He contributes to open-source projects like Keycloak data export tools and maintains technical blogs on DevOps, PostgreSQL optimization, and IPSEC configurations. His interdisciplinary practice combines software engineering with landscape planning expertise.

Armin Lechlerمشاهده پروفایل

پژوهشگر

• Automation Technology
• Industrial Robotics
• Control Systems
• +۴ مورد دیگر

Armin Lechler , holding the title of Dr.-Ing. , is a Senior Researcher at the Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW) at the University of Stuttgart. He is also a key member of the Cluster of Excellence IntCDC (Integrative Computational Design and Construction for Architecture). His work focuses on control engineering, automation technology, and robotics, with a particular emphasis on data-driven manufacturing systems and cyber-physical platforms.

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)

• Computer Science
• Databases
• Distributed Systems
• +۴ مورد دیگر

Shahram Ghandeharizadeh is a Professor at the University of Southern California , specializing in Computer Science with a focus on databases, distributed systems, and multimedia. His research spans caching middleware, flying light specks for 3D displays, and swarm robotics. Recent work includes CAMP (cache eviction policies), Disaggregated Database Management Systems , and Flight Patterns for Swarms of Drones , reflecting his expertise in data management and swarm-based technologies. He has collaborated extensively with researchers like Hamed Alimohammadzadeh and Hieu Nguyen . His scientific awards include the ACM Software System Award (2008) , recognizing long-term contributions to software systems. Publications since 2021 highlight advancements in cache management, graph databases, and swarm robotics, with a strong emphasis on non-volatile memory and decentralized frameworks.

• 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.

• Optical communications
• Wireless networking
• Network function virtualization
• +۷ مورد دیگر

Piet Demeester is a distinguished researcher in the Department of Information Technology at Ghent University (Universiteit Gent) in Belgium. With a continuous publication record from 1994 through 2024, he has established himself as a leading expert in optical communications, wireless networking, and network virtualization technologies. His work bridges the gap between fundamental research and practical implementation in next-generation communication systems. Dr. Demeester's research spans several critical areas in modern telecommunications: Advanced optical communication systems and radio-over-fiber technologies 5G/6G wireless networks and massive MIMO implementations Network function virtualization and software-defined networking Millimeter wave and terahertz communication systems Network management and performance optimization His recent publications demonstrate a strong focus on integrating optical and wireless technologies to address capacity challenges in next-generation networks. The research shows particular emphasis on sigma-delta modulation techniques, distributed antenna systems, and realistic human exposure modeling for emerging wireless technologies. His work consistently appears in top-tier journals including IEEE Communications Magazine, IEEE Access, and IEEE Journal on Selected Areas in Communications. Dr. Demeester maintains extensive collaborations within Ghent University and with international partners, frequently working with researchers such as Filip De Turck, Bart Dhoedt, Mario Pickavet, and Didier Colle. These collaborations have resulted in numerous high-impact publications addressing critical challenges in telecommunications infrastructure.

• 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.

• 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

• Marketing
• Social Marketing
• Business Ethics
• +۷ مورد دیگر

Prof. Dr. Answin Vilmar is a marketing scholar with over 20 years of experience in marketing agencies and 15+ years as an academic at institutions including IST University of Applied Sciences (since 2013). His expertise spans marketing ethics, sustainability, brand cooperation, and creative processes . Education: B.A. in International Marketing, Dipl.-Kfm., and Dr. rer. oec. from Technical University Berlin, Vienna University of Economics, and N.I.H.E. Dublin Current Roles: Member of the University Council, owner of VILMARKETING consultancy, and operator of www.good.marketing His research focuses on social marketing, sustainable branding, and creativity in campaigns . Over his career, he has advised >100 brands and authored numerous publications on: Brand extensions in cultural venues Green marketing strategies LOHAS consumer markets Virtual team creativity Textile sustainability certification Workforce development campaigns Recent case studies analyze the Tonhalle Duesseldorf , Tchibo’s education initiatives , and tools for skilled crafts workforce shortages. His work emphasizes ethical marketing practices and creative risk-taking .

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.

• Model-Driven Software Engineering
• Business Process Modeling
• Enterprise Application Integration
• +۲ مورد دیگر

Dr. Heiko Kern is a researcher at the Department of Computer Science, University of Leipzig, leading the research group Software and System Integration . His work focuses on model-driven approaches for integrating industrial systems and business information systems. Research Areas: data/model transformation, integration architectures, industrial/business information systems, meta-modeling Recent Articles highlight his contributions to model interoperability, machine-IT integration, and adaptive frameworks. He has developed tools like the bflow* Toolbox and Eclipse Model Operations . Scientific Community: Program committee member at workshops like MDASD, ENASE, and WAPL; reviewer for journals including Computer Languages, Systems and Structures and Electronic Commerce Research and Applications . Teaching includes lectures on business information systems, model-driven engineering, and seminars on e-commerce simulation. He has supervised theses on metamodel migration and model difference calculation.

• Data Management for Sensor-based Systems
• Distributed Data Stream Management
• Internet of Things
• +۴ مورد دیگر

Michael Freitag, formerly known as Michael Sünkel, is a Research Assistant at the Chair of Mobile Systems within the Faculty of Business Information Systems and Applied Computer Sciences at the University of Bamberg . His work focuses on data management for sensor-based systems and distributed data stream processing in the context of the Internet of Things (IoT). He is actively involved in the FutureIOT research network. Education : M.Sc. in Applied Computer Science from the University of Bamberg (2017). Research Interests : Michael's research spans Data Management for Sensor-based Systems , Distributed Data Stream Management , and optimization techniques for Edge and Fog Computing. He also explores applications of machine learning in agricultural monitoring, such as analyzing sensor data for dairy cow behavior. Recent Publications : His 2022 work on resource-aware classification in distributed IoT systems highlights model management strategies, while 2021 studies focus on IoT data-sharing markets and agricultural machine learning. Keywords include Computer Science , IoT , and Machine Learning , with sub-fields like real-time data processing and precision agriculture. Contact : Located in Bamberg, Germany, he can be reached at michael.suenkel@uni-bamberg.de and is available for consultation by appointment.

Dietmar Wikarskiمشاهده پروفایل

استاد

• Computer-Supported Cooperative Work (CSCW)
• Systems Analysis
• Workflow Management
• +۶ مورد دیگر

Dietmar Wikarski is a Professor in the Department of Economics at the Brandenburg University of Technology. His expertise spans Computer-Supported Cooperative Work (CSCW) , Systems Analysis , Business Process Modeling , and Quantitative Methods for System Evaluation . He has been a pivotal figure in advancing cooperative information systems and semantic technologies in both academic and administrative contexts. Education: Studied Mathematics at Donetsk University (1972-1977) Doctorate: Promoted in 1984 at Humboldt University of Berlin Wikarski’s research focuses on Workflow Management , Petri Nets , and E-Government . His work integrates qualitative and quantitative analysis for distributed systems, with applications in healthcare, education, and public administration. He has developed methodologies for BPMN tools, telemedicine communication, and semantic technologies in knowledge management. Recent publications highlight his contributions to sustainable rural development, taxonomy governance, and process modeling in academic and medical sectors. His teaching portfolio includes courses on Systems Analysis, Process Modeling, and Semantic Technology Applications for Business Informatics students. Research Highlights: Dynamic knowledge mapping using semantic web technology Modular process nets for system evaluation Petri net tools for workflow adaptability Exception handling in workflow management Integration of qualitative and quantitative software analysis Cooperative information systems engineering

• Machine Learning
• Neuroscience
• Medical Informatics
• +۳ مورد دیگر

Sebastian Niehaus is a Doctoral Researcher affiliated with the Max Planck Institute for Human Cognitive and Brain Sciences and TU Dresden. His work bridges Neuroscience and Machine Learning , focusing on Medical Informatics and Statistical Computing . He develops scalable AI applications for clinical workflows through standardized data harmonization pipelines.

Haim Avronمشاهده پروفایل

استاد

• Numerical Computing
• High Performance Computing
• Machine Learning
• +۳ مورد دیگر

Haim Avron is a Professor in the Department of Applied Mathematics at Tel Aviv University's School of Mathematical Sciences, where he has been employed since 2015. His research focuses on numerical computing, high-performance computing, and their applications in scientific computing and machine learning. Education: Completed PhD in Computer Science at Tel Aviv University under Prof. Sivan Toledo, followed by postdoctoral research at IBM T.J. Watson Research Center. Research interests: Foundations of numerical linear algebra and randomized algorithms Tensor-tensor algebra for multiway data representation High-performance computational methods for machine learning Optimization techniques for large-scale systems Recent publications demonstrate strong focus on tensor algebra, randomized numerical methods, and machine learning optimization, with applications ranging from quantum computing to deep learning architectures. Awards: SIAM Activity Group on Computational Science and Engineering Best Paper Prize 2025 Software contributions include development of numerical libraries such as libSkylark for matrix sketching and Blendenpik for least-squares problems.