Find Academic Supervisors

• Ad-hoc Wireless Networks
• Resilient Disaster Communications
• Disruption-Tolerant Networking
• +4 more

Markus Sommer is a Research Fellow at Philipps-Universität Marburg's Department of Mathematics and Computer Science, affiliated with the Distributed Systems Group (AG Freisleben). He holds a Master of Science in Computer Science (2020) and is pursuing a PhD in Computer Science since 2020. His research focuses on resilient communication systems for disaster scenarios, ad-hoc wireless networks, and software-defined networking architectures. He is a core member of the LOEWE center emergenCITY, specializing in crisis communication technologies. Key technical expertise includes Python and Go programming, disruption-tolerant networking (DTN), and protocol design for wireless edge devices. He contributes to projects like ProgDTN (programmable DTN) and QUICL (QUIC-based DTN convergence layer), emphasizing network function virtualization and energy-efficient decentralized communication. Recent work emphasizes low-cost LoRa-based crisis communication systems, energy-efficient multi-hop broadcasting, and unobtrusive mechanism interception for enhancing legacy network systems. His research bridges theoretical networking models with practical implementations for real-world disaster response scenarios.

Philipp EichhammerView profile

Assistant Professor

• Dependable Distributed Systems
• Byzantine Fault Tolerance
• Fault Tolerance in IoT
• +3 more

Philipp Eichhammer serves as an Assistant Professor for Security in Information Systems at the University of Passau's Faculty of Computer Science and Mathematics, where he leads research in the Chair of IT Security under Prof. Dr. Joachim Posegga. His work bridges theoretical security frameworks with practical IoT implementations, focusing on real-world system resilience. His research expertise spans Dependable Distributed Systems , Byzantine Fault Tolerance , and Fault Tolerance in IoT , with recent breakthroughs in autonomous community formation for intrusion detection across heterogeneous networks. Current projects address critical gaps in Cloud-to-Thing infrastructure monitoring and self-organizing middleware design for secure IoT service execution. Analysis of his 2019-2023 publications reveals consistent focus on IoT resilience engineering, with 40% dedicated to intrusion detection methodologies and 30% to foundational IoT security frameworks. His work demonstrates increasing industry relevance, particularly in applying distributed systems theory to edge-computing security challenges. Teaching responsibilities include Advanced IT-Security , Real Life Security (B.Sc./M.Sc.), and Security Insider Lab II , emphasizing hands-on system and application security training. Collaborative work with researchers like H.P. Reiser and J. Domaschka spans 8 major publications across venues including IEEE PRDC and ACM Computing Surveys.

Dirk TimmermannView profile

Academic

• Microelectronics
• Embedded Systems
• Wireless Sensor Networks
• +3 more

Dirk Timmermann is Senior Professor of Computers in Technical Systems at the Institute for Applied Microelectronics and Data Technology , University of Rostock , Germany. He is affiliated with the Interdisciplinary Faculty (INF) within the Department of Life, Light & Matter. Academic Role: Senior Professor focusing on technical systems Research Areas: Digital CMOS circuits, energy-efficient systems, wireless communication protocols Teaching: Advanced VLSI design and digital systems Current Projects: Deep brain stimulation devices, TSN networking, medical device interoperability His recent publications (2023-2025) emphasize preclinical neurostimulation research (STN-DBS applications in Parkinsonian models), time-sensitive networking (TSN scheduling, IEEE 802.11 protocols), and medical device integration (IEEE 11073 SDC implementations). He contributes to: Ad hoc sensor network architectures Energy-efficient FPGA designs Service-oriented medical device connectivity Building automation security frameworks Prof. Timmermann serves on the Senate Committee on Budget, Personnel and Construction at University of Rostock.

Helge ParzyjeglaView profile

Researcher

• Publish/Subscribe Systems
• Distributed Event-Based Systems
• Time-Sensitive Networking
• +5 more

Dr. Helge Parzyjegla is a researcher at the Institute of Computer Science at the University of Rostock, Germany. His work focuses on publish/subscribe systems, time-sensitive networking, and autonomous underwater vehicles. He has maintained a consistent publication record since 2005 and continues to produce significant contributions to distributed systems and networking. Dr. Parzyjegla completed his PhD in 2014 at the University of Rostock with a dissertation titled "Engineering Publish/Subscribe Systems and Event-Driven Applications." Prior to that, he earned his Master's degree in 2005 from the Technical University of Berlin with a thesis on "An adaptive broker network for publish/subscribe systems." His research spans several interconnected areas in computer science and engineering. He has made significant contributions to publish/subscribe middleware systems , developing autonomous and adaptive approaches for event-based communication. His work on time-sensitive networking addresses critical challenges in real-time industrial applications, focusing on reliability, scheduling, and security. More recently, he has expanded his research to autonomous underwater vehicles , developing simulation models, path planning algorithms, and collaborative systems for maritime applications. His interdisciplinary approach bridges theoretical computer science with practical engineering applications. An analysis of his recent publications (2021-2025) reveals a clear progression from foundational work on publish/subscribe systems toward more applied research in time-sensitive networking and autonomous underwater vehicles. His work consistently addresses reliability, efficiency, and security challenges in distributed systems. The increasing focus on maritime applications since 2021 demonstrates his ability to adapt his expertise to new application domains while maintaining technical rigor. Best Paper Award in System Software and Security (2015) Dr. Parzyjegla has collaborated extensively with researchers at the University of Rostock and other institutions, particularly in the areas of networked systems and maritime technology. His sustained publication record suggests successful funding for his research activities. His work appears to involve both theoretical development and practical implementation, with numerous collaborations on simulation frameworks and experimental systems. His research appears to be conducted within the broader context of the Institute of Computer Science at the University of Rostock, with particular connections to groups working on distributed systems, networking, and maritime applications. The consistent collaboration with researchers like Gero Mühl, Peter Danielis, and Willi Brekenfelder suggests a cohesive research team focused on networked systems and their applications.

Mario NeugebauerView profile

Professor

• Wireless Sensor Networks
• Mobile Systems
• Robotics
• +4 more

Prof. Dr.-Ing. Mario Neugebauer is a faculty member at the Faculty of Computer Science/Mathematics at Dresden University of Applied Sciences (HTW Dresden). His teaching areas span fundamental programming, database systems, mobile networks, and communication technologies. Research Focus: Off-road navigation, wearable systems for production/logistics, localization systems, and mobile sensor devices. Thesis Topics: Image analysis for bird conservation, shadow detection on wind turbines, bat monitoring, and mission planning for autonomous robots. Technologies: Rust, ROS2, Kotlin/Spring Boot, Python, Raspberry Pi, C/C++ for microcontrollers, and IEEE 802.15.4 protocols. Teaching Responsibilities: Courses include Programming I/II , Mobile Networks , and Business Informatics and Digitization for Informatik, Medieninformatik, and Umweltmonitoring programs.

• Intelligent Transportation Systems
• Machine Learning
• Computer Networks
• +3 more

Zongtao Duan is an active researcher with a focus on intelligent transportation systems, cybersecurity, and machine learning applications. His work spans areas including traffic flow prediction, silent data corruption detection, vehicular networks security, and deep learning architectures for autonomous systems. He collaborates frequently with colleagues like Lei Tang and Junchi Ma, publishing in top-tier journals such as IEEE Transactions on Intelligent Transportation Systems and Future Generation Computer Systems. His research emphasizes practical solutions for urban mobility challenges, including ridesharing optimization and railway congestion control, while also addressing foundational issues in hardware reliability and error propagation modeling. Recent contributions include advancements in multimodal retrieval systems and knowledge graph applications in scientific data management. Zongtao has contributed to over 40 peer-reviewed publications since 2004, with notable work in 2025 exploring SDC evaluation frameworks and scenario-based testing for autonomous vehicle safety. His interdisciplinary approach bridges computer science, transportation engineering, and cybersecurity to address real-world technical challenges.

• Real-Time Systems
• Database Systems
• Distributed Systems
• +10 more

Ming Xiong is a researcher affiliated with Bell Labs , focusing on real-time systems, temporal consistency, and data freshness in embedded environments. His work spans concurrency control protocols, deferrable scheduling algorithms, and wireless communication systems. Key Research Areas: Real-time databases, XML data integration, location management in mobile networks, IoT semantic communication, and wireless channel modeling. Collaborations: Frequent co-authorship with Song Han, Deji Chen, Kam-yiu Lam, Krithi Ramamritham, and Wenfei Fan. His recent publications (2023-2025) emphasize semantic communication for IoT and wireless systems, temporal consistency in cyber-physical systems, and environmental data analysis via remote sensing. While no explicit awards or educational background are listed, his contributions to IEEE journals and conferences highlight expertise in real-time transaction processing and distributed systems.

• Distributed Systems
• Middleware
• Network Protocols
• +5 more

Laurent Réveillère is a researcher affiliated with the University of Bordeaux, focusing on distributed systems, blockchain technologies, and middleware. His work explores fault tolerance, secure communication, and protocol design, with significant contributions to peer sampling, network virtualization, and hardware-assisted security mechanisms.

• Network Management
• Cloud Computing
• Internet of Things
• +3 more

Liane Margarida Rockenbach Tarouco is a researcher at the Federal University of Rio Grande do Sul in Porto Alegre, Brazil. Her work bridges network management and educational technology, focusing on innovative applications of virtual reality, IoT, and cloud computing. Key research areas: network management systems Key research areas: immersive educational environments Key research areas: IoT security frameworks Key research areas: cloud monitoring architectures While her publications often focus on technical implementations, she has pioneered the use of virtual worlds and chatbots in educational contexts, particularly for mathematics and algorithm training. Her collaborations span institutions and disciplines, with Lisandro Zambenedetti Granville and others.

Ulrike BaumölView profile

Professor

• Information Management
• Business/IT Alignment
• Change Management
• +5 more

Prof. Dr. Ulrike Baumöl is a full Professor at the FernUniversität in Hagen in the Faculty of Business Administration and Economics, Department of Economics. Her academic career spans over three decades with significant contributions to Information Management and Business/IT Alignment. Her educational background includes business administration studies at the University of Dortmund (1987-1992), doctoral research at the same institution (1992-1998), postdoctoral research at the University of St. Gallen (1998-2004), and habilitation granting venia legendi in Business Administration with focus on Business Informatics in 2005. Prof. Baumöl's research focuses on the critical intersection of business strategy and information technology, particularly in organizational change management, IT controlling, and business/IT alignment. Her work develops methodological approaches for situational method construction in organizational change processes, emphasizing flexibility and adaptability in complex business environments. She has pioneered concepts in information logistics, performance management within dynamic organizations, and data quality management frameworks. Her recent publications demonstrate a clear evolution toward digital transformation challenges, with increasing emphasis on business analytics, data science applications in controlling, and the integration of business processes with emerging IT capabilities. The research spans theoretical method development and practical implementation frameworks for real-world business challenges. Prof. Baumöl is an active member of the academic community through her affiliations with the Schmalenbach Society for Business Administration, the Society for Computer Science, and the Society for Controlling. These memberships reflect her interdisciplinary approach bridging business administration, information systems, and management control. Her professional trajectory combines academic rigor with practical industry experience, having worked at a major Swiss life insurance company in IT architecture and project portfolio management (2004-2006), served as Director of the Executive MBA in Business Engineering at the University of St. Gallen (1999-2002), and maintained an active consulting practice in information management and IT strategy development since 1992. Her teaching focuses on Business/IT alignment as an entrepreneurial coordination process, IT-embedded business methods, organizational change processes, and economic efficiency within business/IT alignment frameworks.

Veronika LeschView profile

Professor

• Self-aware Computing Systems
• Cyber-physical Systems
• Industry 4.0
• +3 more

Veronika Lesch is a Professor and Head of the Applied Computer Science program at DHBW Mosbach. Previously, she served as a post-doctoral research group leader and doctoral researcher at the University of Würzburg's Chair of Computer Science II (Software Engineering Group). Her research focuses on self-aware computing systems, cyber-physical systems, and intelligent transportation logistics. She has supervised numerous theses on topics like platooning coordination and warehouse optimization. Notable awards include being a nominee for the 'Ingenieurinnen Preis Bayern' and recipient of the 'Würzburg Software Engineering Award'. Education: She holds a Bachelor's (2015) and Master's (2017) in Computer Science from the University of Würzburg, followed by a PhD and postdoc at the same institution. Professional roles include teaching coordination of MINT courses and supervision of software projects. Research interests span IoT, Industry 4.0 logistics, and autonomous systems optimization. Over 20 peer-reviewed publications since 2017 address challenges in adaptive systems, vehicle routing, and meta-optimization strategies. Active in reviewing for top journals/conferences like IEEE Transactions on ITS and ICPE. Supervised 15+ student theses (2018-2021) Developed FADE framework for adaptive distance estimation Contributed to Combench communication protocol benchmarking Labs/Teams: Previously part of the Software Engineering Group at Würzburg, now leading applied CS initiatives at DHBW Mosbach.

• Sensor Networks
• Middleware Systems
• Federated Learning
• +5 more

Eleftheria Katsiri is a researcher with extensive contributions to computer science , focusing on sensor networks , middleware systems , and serious games . Her work bridges privacy-preserving machine learning with IoT applications in healthcare and environmental monitoring. Collaborations with Alexandros Gazis, Pavlos S. Efraimidis, and other researchers highlight her interdisciplinary approach. Key publication venues: Frontiers Robotics AI , ICR , CoRR , Communications of the ACM Research trends since 2022 include federated learning for health apps, blockchain middleware, and edge intelligence for air quality monitoring. Her articles demonstrate expertise in abstract reasoning, sensor data fusion, and scalable middleware design. No formal awards or academic appointments are mentioned in available data.

Peter DanielisView profile

Professor

• Parallel Systems
• Distributed Computing
• Time-Sensitive Networking
• +4 more

Prof. Dr.-Ing. habil. Peter Danielis holds an Extraordinary Professorship in Parallel Systems at the Institute of Computer Science, University of Rostock. His research focuses on parallel and distributed systems with applications in time-sensitive networking, autonomous underwater vehicles, and industrial IoT. He serves as Deputy Director of the Institute of Computer Science (IFI) and participates in editorial boards for multiple conferences and journals. His primary research interests span Parallel Systems , Distributed Computing , and Time-Sensitive Networking , with significant contributions to mobile opportunistic networks and real-time communication in industrial settings. Current projects include cooperative navigation of autonomous underwater vehicles (AUVs) and distributed communication networks for IoT applications. His work bridges theoretical research with industrial implementation, particularly in deterministic networking for critical infrastructure. Analysis of his recent publications (2020-2025) reveals strong emphasis on Time-Sensitive Networking (TSN) for industrial automation, with 7 of 15 recent papers directly addressing TSN scheduling, reliability, and traffic management. Secondary focus areas include Autonomous Underwater Vehicle coordination (3 papers) and Mobile Opportunistic Networks for urban sensing. His methodology combines simulation, protocol design, and real-world validation. Professional affiliations include membership in the Institute of Electrical and Electronics Engineers (IEEE). He serves as TPC member and editorial board member for various conferences and journals. His teaching portfolio covers High Performance Computing, Operating Systems, and Complex Software Systems. As Deputy Director of the Institute of Computer Science, he oversees academic operations while maintaining active research leadership. His laboratory work focuses on real-time communication systems and underwater vehicle networks, utilizing simulation frameworks like OMNeT++ for protocol validation. Current research directions include adaptive TSN scheduling and cooperative AUV navigation in dynamic environments.

Amr RizkView profile

Professor

• Statistical Performance Evaluation of Communication Systems
• Design and Hardware-acceleration of Real-time Distributed Systems
• Coding and Transport of Immersive Multimedia
• +4 more

Prof. Dr. Amr Rizk is a Full Professor at Leibniz University Hannover since 2024, affiliated with the College of Electrical Engineering and Computer Science and the Institute of Communications Technology . Previously, he served as Tenured Professor at University of Duisburg-Essen (2021-2024) and Assistant Professor at Ulm University (2019-2021). His academic journey includes a Habilitation at TU Darmstadt (2019) and a doctorate with distinction (2013) from Leibniz University Hannover. Education: Doctorate (Leibniz University Hannover, 2013); Habilitation (TU Darmstadt, 2019) Prof. Rizk's research focuses on Statistical Performance Evaluation of Communication Systems , Design and Hardware-acceleration of Real-time Distributed Systems , and Coding and Transport of Immersive Multimedia . His work bridges theoretical analysis with practical implementations in network performance and real-time systems. His recent publications analyze stochastic scheduling, network calculus, and queuing models, with applications in 5G networks and distributed computing. Notable awards include multiple best paper recognitions (IEEE QCNC 2024, ACM MMSys 2023, ACM/USENIX Middleware 2017) and the Athene Young Investigator Award (2017). Scientific Awards: IEEE QCNC Best Paper (2024), ACM MMSys Best Paper (2023), ACM/USENIX Middleware Best Paper (2017), Athene Young Investigator Award (2017), ACM MMSys Excellence in DASH Paper Award (2016) Prof. Rizk has served as Associate Editor for Elsevier Computer Communications (Q1) since 2021 and organized key conferences including IEEE MIPR (2023), Workshop on Network Calculus (2020), and ACM MMSys (2019). His leadership extends to projects like ENVELOPE (Horizon Europe, 2023), FlexShield (BSI, 2023), and SPINE (DFG, 2018). He currently resides at Appelstr. 11/11A, 5th floor, building 3403, room A528 (Hanover, Germany) due to construction work at his primary address (Appelstraße 9a, 30167 Hanover; building 3408, room 1421).

• Distributed Systems
• Blockchain Technology
• Middleware Integration
• +4 more

Julian Kalinowski is a researcher at the University of Hamburg's Department of Computer Science within the Faculty of Mathematics, Informatics, and Natural Sciences (MIN). His work focuses on distributed systems, blockchain technology, and middleware integration for mobile environments. Key projects include Jadex BDI Agent System and the cadeia initiative for distributed code execution in information markets. PhD candidate in Computer Science Email: kalinowski@informatik.uni-hamburg.de Room F510, Office hours by appointment Research interests span decentralized information markets, blockchain compliance (e.g., GDPR), and mobile middleware optimization. His 2015 best paper award at MATES conference highlights contributions to agent platform customization. Publications from 2012-2020 reveal trends in blockchain applications, smart grid optimization, and IoT security. Supervised 9 student theses covering decentralized billing, smart home systems, and localization technologies. Key awards: Best Paper Award (MATES-2015).