Find Academic Supervisors

• Digital Twins
• Edge Computing
• Federated Learning
• +6 more

Paolo Bellavista is a Professor at the University of Bologna, Department of Electrical, Electronic, and Information Engineering, specializing in Computer Science and Engineering. His research focuses on cutting-edge technologies bridging the physical and digital worlds, with particular emphasis on Digital Twins, Edge Computing, Federated Learning, and IoT systems across various application domains. His research interests span Digital Twins implementation in industrial settings, Edge Computing architectures, Federated Learning techniques, Internet of Things applications, 5G/6G networking, Cloud Computing paradigms, and Smart Manufacturing systems. His work demonstrates a strong focus on practical implementations of theoretical concepts, particularly in the context of distributed systems where latency, reliability, and security are critical concerns. Analysis of his recent publications reveals a strong trend toward integrating Digital Twin technology with edge computing infrastructure, developing privacy-preserving federated learning techniques, and creating efficient communication protocols for industrial IoT applications. His work spans both theoretical contributions and practical implementations across smart factories, transportation systems, aviation, and urban infrastructure. While specific awards are not mentioned in the available data, his extensive publication record in top-tier venues demonstrates significant recognition within the academic community. His collaborations span numerous institutions and researchers across Europe and beyond. Professor Bellavista actively supervises research in distributed systems, with numerous PhD students and postdoctoral researchers contributing to his projects. His research has been supported by various grants focused on next-generation networking, edge computing, and industrial digitalization initiatives. His laboratory work centers around the IoTwins platform for implementing distributed digital twins in industrial manufacturing and facility management settings, with applications spanning smart factories, urban environments, and transportation systems. Current research directions include entanglement-aware middleware for digital twins, federated unlearning techniques, and adaptive resource management in cloud-to-edge continuum environments.

Alessandro BiondiView profile

Associate Professor

• Real-Time Systems
• Embedded Systems
• Cyber-Physical Systems
• +6 more

Alessandro Biondi is an Associate Professor at Scuola Superiore Sant'Anna in Pisa, Italy, affiliated with the Real-Time Systems Laboratory and the Department of Excellence in Robotics & AI. His research focuses on real-time and embedded systems, cyber-physical systems, and security for critical systems. Biondi's work spans real-time operating systems, virtualization, schedulability analysis, safe machine learning for CPS, and synchronization protocols. He collaborates extensively with industry partners in automotive, railway, avionics, and drone domains, working on projects involving autonomous driving software, safety-critical systems, and multi-domain platforms. He has received several prestigious awards including the IEEE TCCPS Early Career Award and ACM SIGBED Early Career Award. Biondi serves as Associate Editor for several journals including IEEE Transactions on Emerging Topics in Computing and Springer Real-Time Systems.

• Serverless Computing
• Cloud Computing
• Business Process Management
• +5 more

Vatche Isahagian is a researcher with affiliations at Bentley University's McCallum School of Business in the Computer Information Systems department and IBM Research (Cambridge, MA and Yorktown Heights, NY). He completed his PhD in Strategic and operational services for workload management in the cloud from Boston University in 2013. His research focuses on serverless computing, business process management, and the application of artificial intelligence in enterprise settings. He has published extensively on topics including Function-as-a-Service (FaaS), workflow automation, deep learning platforms, and cloud resource management. His work bridges theoretical computer science with practical enterprise applications, particularly in automating business processes through AI technologies. Recent research shows a strong trend toward applying large language models to business process automation, with publications in 2023-2025 focusing on conversational interfaces for workflow generation, security policy automation using LLMs, and business process-specific foundation models. His work demonstrates how AI can be integrated into enterprise systems to improve efficiency and decision-making. As a highly collaborative researcher, he has worked extensively with Vinod Muthusamy (54 joint publications), Yara Rizk (22), Aleksander Slominski (20), and Praveen Venkateswaran (17), among others. His research has been published in top venues including AAAI, KDD, Middleware, BPM, and IEEE conferences. His contributions to serverless computing were particularly influential, with early work helping define the field through publications like 'The rise of serverless computing' (Communications of the ACM, 2019) and 'Serverless Computing: Current Trends and Open Problems' (2017). This foundational work helped establish serverless architecture as a significant paradigm in cloud computing.

• Machine Learning
• Signal Processing
• Computer Vision
• +4 more

Yuan Liao is an active researcher with a focus on interdisciplinary areas spanning computer science, electrical engineering, and applied mathematics. His work emphasizes innovative solutions in signal processing, machine learning, robotics, and human mobility studies. Notably, he has contributed to advancements in wearable biomedical devices, remote sensing image analysis, and next-generation wireless communication systems like 6G. Collaborations with institutions like Academia Sinica and co-authors such as Vasilis Friderikos highlight his global academic network. Liao's research often bridges theoretical frameworks with practical applications, addressing challenges in healthcare, transportation, and urban planning. Key contributions include developing novel neural network architectures for tasks like image inpainting and emotion recognition from EEG signals. His work on robotic aerial base stations for mmWave backhauling demonstrates expertise in cutting-edge wireless systems. While specific institutional affiliations are not explicitly stated in the provided data, his prolific publication record across top-tier journals and conferences indicates an established academic role, likely as a researcher or faculty member in a technical discipline.

Manfred HauswirthView profile

Professor

• Distributed Systems
• Internet of Things (IoT)
• Stream Processing
• +4 more

Prof. Manfred Hauswirth is the Managing Director of Fraunhofer Institute for Open Communication Systems (FOKUS) and holds the Chair for Open Distributed Systems at Technical University of Berlin. His research focuses on distributed systems, IoT, stream processing, quantum computing, and blockchain. He has held roles including Vice Director at Digital Enterprise Research Institute (DERI) and professor at National University of Ireland, Galway. He leads multiple strategic initiatives, including the Fraunhofer Quantum Technologies Research Field and the Weizenbaum Institute. His work bridges academia and industry, emphasizing digitalization, quantum computing, and IoT. Education: Dipl.-Ing. (1993), Dr. techn. (1999) in Computer Science from Vienna University of Technology. Postdoctoral work at École Polytechnique Fédérale de Lausanne (EPFL). Research Interests: Prof. Hauswirth’s work spans distributed systems, semantic web technologies, quantum algorithms, and IoT edge computing. He emphasizes real-world applications like smart cities, autonomous driving, and secure data management. Recent trends in his publications include quantum programming frameworks (e.g., Qrisp), scalable graph distillation, and edge-based AI systems. Awards: Not explicitly listed, but his work has been recognized through leadership roles in IEEE, ACM, and Fraunhofer committees. Advising & Grants: Active in funding initiatives like the Berlin Institute for Learning and Data (BIFOLD) and Einstein Center Digital Future (ECDF). Leads projects on quantum benchmarking, energy flexibility markets, and semantic stream processing. Labs/Teams: Directs the Fraunhofer High Performance Center for Digital Networking and chairs the Quantum Computing Competence Network, integrating interdisciplinary teams across quantum computing, IoT, and AI domains.

Bernhard RabeView profile

Researcher

• Embedded Systems
• Mobile Systems
• Distributed Systems
• +7 more

Bernhard Rabe is a researcher at the Hasso Plattner Institute (HPI), University of Potsdam, affiliated with the Professorship for Operating Systems and Middleware. He has been actively involved in research and teaching since 2002, focusing on embedded and mobile systems, distributed control labs, and scripting languages. His research interests span embedded systems, mobile computing, cloud software quality, remote laboratories, and .NET technologies for constrained environments. He has contributed significantly to the design and optimization of self-contained CLI assemblies and real-time control in distributed lab environments. The publication trends show a consistent focus on distributed systems, remote experimentation, and software architecture for embedded and cloud platforms. His work bridges academic research with practical applications in e-learning and industrial control systems. Bernhard Rabe has served in organizational and editorial roles for several workshops, including VIRTUAL-LAB and WoRD, and has reviewed for conferences in pervasive technologies and e-learning. He has co-authored technical reports and proceedings, contributing to the academic community through knowledge dissemination. He has contributed to multiple research projects such as the Distributed Control Lab, 64-Bit Laboratory, Lego.NET, and Vet-Trend, demonstrating a strong engagement with applied computing and system integration.

• Distributed Systems
• Publish-Subscribe Systems
• Software-Defined Networking
• +7 more

Muhammad Adnan Tariq is a Professor at the University of Stuttgart in the Faculty of Computer Science, Department of Distributed Systems and Networking. His research spans distributed systems, networking, and security with a particular focus on publish-subscribe systems, software-defined networking, and complex event processing. PhD in Non-functional requirements in publish, subscribe systems (2013) Over 40 publications between 2009-2022 Extensive collaboration with Kurt Rothermel (36 joint publications) Dr. Tariq's research interests focus on the intersection of distributed computing and network systems. His work addresses critical challenges in publish-subscribe systems, software-defined networking, complex event processing, and workflow management. His research has evolved to incorporate emerging technologies like blockchain for IoT security and edge-based machine learning. His publications demonstrate a consistent focus on performance optimization, security, and scalability in distributed systems, with recent work emphasizing applications in IoT environments and edge computing. His publication record shows a clear progression from foundational work on publish-subscribe systems to more complex applications involving workflow engines, graph processing, and security mechanisms. The research demonstrates strong theoretical grounding combined with practical implementation considerations, particularly evident in his work on software-defined networking applications and IoT security frameworks. Dr. Tariq has maintained a productive research career with consistent publication output across top venues including IEEE Transactions, DEBS, ICDCS, and Middleware conferences. His work shows strong collaboration patterns, particularly with researchers at what appears to be his home institution.

• Smart Grids
• Distributed Systems
• Energy Management
• +4 more

Dr. Daniel Brettschneider is a researcher at the Osnabrück University of Applied Sciences , affiliated with the School of Engineering and Computer Science and the Laboratory for High Frequency Technology and Mobile Communications . His work focuses on distributed systems for smart grids and energy management. Research Interests: Smart Grids and Distributed Energy Management Privacy Preservation in Energy Systems Context-sensitive Services and Mobile Applications Communication Requirements for Distributed Algorithms Cluster-based Energy Optimization Integration of Power, Heat, and Communication Networks Article Trends: His publications (2011-2016) emphasize smart grid algorithms, privacy-preserving protocols, context-aware mobile systems, and simulator development for multi-domain energy networks. Keywords include distributed computing, homomorphic encryption, and cooperative energy systems.

Ulrich RückertView profile

Professor

• Neuromorphic Computing
• Embedded Systems
• Machine Learning
• +9 more

Prof. Dr.-Ing. Ulrich Rückert is a Professor at the Faculty of Engineering of the University of Bielefeld , where he leads the Cognitronics & Sensor Technology Group and participates in CITEC (Center for Cognitive Interaction Technology). He serves as Vice Rector for Digitalization and Data Infrastructure , driving university-level digital transformation initiatives. Research Focus : Neuromorphic computing, spiking neural networks (SNNs), embedded systems, robotics, UWB localization, and reconfigurable hardware. Projects : Leading federal and EU-funded initiatives like eProcessor (RISC-V multi-core systems), VEDLIoT (efficient deep learning in IoT), and Al4DG (AI in distribution grid control). Teaching & Leadership : Academic advisor for the Master in Biomechatronics , chairs examination boards, and leads the Library Commission . His work integrates neuromorphic hardware with edge computing and real-time systems , supported by grants from the European Union and German Federal Government . Recent publications analyze FPGA-based SNNs , UWB localization , and resource-efficient embedded architectures . Scientific Contributions : Over 200 publications in robotics, neural networks, and hardware-software co-design. Notable collaborations with institutions in Germany, Switzerland, and Italy.

• Computer Architecture
• High-Performance Computing (HPC)
• Internet of Things (IoT)
• +7 more

Vincent Bode is a researcher and teaching assistant at the Chair of Computer Architecture and Parallel Systems at the Technical University of Munich (TUM) . His work focuses on benchmarking and optimizing Data Distribution Service (DDS) middleware for Industrial IoT applications, particularly through the DDS-Perf project in collaboration with Siemens .

Salam TraboulsiView profile

Researcher

• Smart City
• 5G Applications
• Indoor Positioning Systems
• +2 more

Dr. Salam Traboulsi is a Researcher at Stuttgart University of Applied Sciences (HFT Stuttgart), affiliated with the Competence Center for Digitalization in Research, Teaching & Economics since 2019. She holds a PhD in Computer Science from the University of Toulouse, France (2008). Her work bridges technology and urban innovation, with a focus on developing scalable solutions for modern cities. Research Focus: Dr. Traboulsi specializes in: Smart City ecosystems integrating IoT and 5G Precision technologies for urban positioning and navigation Data management frameworks for large-scale sensor networks Open-source IoT platforms for building efficiency and environmental monitoring Cloud and grid computing infrastructures Key Projects: She leads/contributes to: iCity 2: UDigiT4iCity – Developing urban digital twins using IoT building data and 5G sensor networks iCity 1 – Foundational research on intelligent urban infrastructure systems Publication Trends: Her recent work (2020-2024) emphasizes 5G-enabled urban solutions, including fleet management optimization, indoor positioning systems, and IoT analytics for smart buildings. Earlier research (2005-2013) focused on distributed computing, storage virtualization, and information retrieval systems, demonstrating consistent expertise in large-scale data infrastructure. Academic Engagement: She serves as a scientific reviewer for journals and conferences and teaches in the surveying study area at HFT Stuttgart.

Gerhard WannerView profile

Professor

• Software Engineering
• Software Architecture
• Green IT
• +2 more

Gerhard Wanner serves as Professor of Computer Science at Stuttgart University of Applied Sciences (HFT Stuttgart) within the Faculty of Surveying, Computer Science, and Mathematics since 2002. He leads the Distributed Information Systems Laboratory (LVIS) and previously directed the university's Information Center (2012-2023) and Computer Center (2004-2012), while maintaining freelance management consultancy work. His research focuses on sustainable software engineering, examining how architectural decisions impact CO2 emissions through green IT practices, enterprise architecture management, and software modeling. Wanner investigates resource-efficient development methodologies and digital transformation in educational contexts, emphasizing software architects' critical role in climate crisis mitigation through architectural design choices and quality models. Recent publications demonstrate a clear trajectory toward sustainability, with 2023-2024 works establishing frameworks for measuring CO2 efficiency in software systems, developing sustainability-focused architecture curricula, and creating resource-optimized development pathways. His scholarship bridges theoretical architecture principles with practical environmental impact reduction strategies. Wanner actively contributes to professional communities as a member of the German Informatics Society (GI), Association for Computing Machinery (ACM), Java User Group Stuttgart (JUGS), and International Software Architecture Qualification Board (iSAQB), where he serves as deputy head of the Audit working group. The Distributed Information Systems Laboratory (LVIS) under his direction explores green IT solutions, distributed systems architectures, and cross-platform service integration, notably demonstrated through the HFT-App project providing unified university service access.