جست‌وجوی استاد و پژوهشگر

• 5G/6G Networks
• Cloud-Native Core Networks
• Software-Defined Networking (SDN)
• +۳ مورد دیگر

Endri Goshi is a Researcher at the Chair of Communication Networks (Prof. Wolfgang Kellerer) at the Technical University of Munich (TUM). He holds a Master of Science in Communications Engineering (2019, distinction) and a Bachelor’s in Electronics Engineering (2015). His research focuses on Virtualized/Cloud-Native Core Networks, Software-Defined Networks (SDN), and Programmable Networks. He has contributed to projects like the ERC Network Flexibility initiative and the 6G Future Lab Bavaria. His work emphasizes network orchestration, edge computing, and fault-tolerant systems. Education: B.Sc. Electronics Engineering, Polytechnic University of Tirana, Albania (2015) M.Sc. Communications Engineering, TUM (2019, distinction) Research Interests: Cloud-Native Mobile Core Networks Edge Computing & Network Function Virtualization SDN/Programmable Networks Network Orchestration & Resource Management Byzantine Fault-Tolerant Systems Recent Work Trends: His publications (2021–2025) address challenges in 5G/6G core networks, including mMTC traffic modeling, UPF placement optimization, and procedure-based stateless architectures. He also explores reproducible data plane performance modeling and hardware-accelerated fault tolerance. Lab/Affiliations: Active at the FlexComNetsLab and involved in TUM’s 6G testbed initiatives.

• Cloud-Native Network Functions (CNFs)
• Kubernetes Orchestration
• Telecom Cloud Infrastructure
• +۴ مورد دیگر

Razvan-Mihai Ursu is a Researcher at the Chair of Communication Networks (Lehrstuhl für Kommunikationsnetze) at the Technical University of Munich, led by Prof. Wolfgang Kellerer. His research focuses on cloud-native network functions (CNFs), Kubernetes-based orchestration, energy-efficient telecom cloud architectures, and network security in open RAN systems. He holds a Master’s degree in Electrical Engineering and Information Technology from TUM (2023) and has been actively involved in the Chair since June 2023. Key research areas include: Design and optimization of Kubernetes orchestration for telecom core networks Energy-efficient redundancy models for telco applications Simulation frameworks for multi-tier Kubernetes deployments (e.g., using Shadow simulator) Security vulnerabilities in O-RAN nearRT-RIC platforms Autonomous network adaptation via digital twins He supervises master’s theses on topics such as CNF orchestration tools evaluation, energy optimization in Kubernetes clusters, and security testing of FlexRIC platforms. His work aligns with projects like the 6G Future Lab Bavaria and the ERC Network Flexibility initiative. Current projects involve advancing simulations for Kubernetes-based systems and developing mathematical models to optimize telecom cloud redundancy for energy efficiency while maintaining service availability.

Carl Calemanمشاهده پروفایل

پژوهشگر ارشد

• X-ray Free-Electron Lasers
• Ultrafast Dynamics
• Radiation Damage
• +۱۶ مورد دیگر

Carl Caleman is a Research Fellow at the Center for Free-Electron Laser Science (CFEL) and holds an affiliation with the University of Uppsala, Department of Physics and Astronomy. He is a key member of the Coherent Imaging Team, focusing on the theoretical and computational aspects of X-ray free-electron laser (XFEL) interactions with matter. His work bridges physics, chemistry, and biology, with a strong emphasis on ultrafast dynamics and radiation effects in biomolecular systems. His research interests encompass a wide range of topics, including X-ray Free-Electron Lasers (XFELs) Molecular Dynamics Simulations Radiation Damage in Biomolecules Single Particle Imaging Ultrafast Ionization and Fragmentation Dynamics Protein and Viral Capsid Stability Surface Science of Liquids and Ionic Liquids Charge Transfer Processes He develops and applies advanced computational models to simulate the complex, non-equilibrium processes that occur when intense X-ray pulses interact with biological and chemical systems. The analysis of his recent publications (2023–2025) reveals a consistent focus on using hybrid computational methods—combining collisional-radiative models with molecular dynamics—to study radiation damage, molecular explosions, and structural changes in proteins, viruses, and aqueous systems exposed to XFELs. His work is pivotal for advancing the field of serial femtosecond crystallography and single-particle imaging, where understanding and mitigating radiation damage is critical. He frequently publishes in high-impact journals such as Nature Communications , Physical Review Letters , and Physical Chemistry Chemical Physics , often as a corresponding author, indicating his leadership in collaborative research projects. Carl Caleman is actively involved in a large network of international collaborations, working with scientists from DESY, XFEL.EU, CSSB, EMBL, and other institutions. His research is supported by access to major XFEL facilities and high-performance computing resources. He advises and mentors junior researchers and students within his team, fostering the next generation of scientists in the field of ultrafast science. His work has significant implications for structural biology, materials science, and radiation therapy. He is associated with the following laboratories and research teams: Coherent Imaging Team, Center for Free-Electron Laser Science (CFEL) Collaborative Research Center on Structural Dynamics of Biomolecular Machines (CSSB) DESY (Deutsches Elektronen-Synchrotron) European XFEL

Wei Chenمشاهده پروفایل

استاد

• Software Engineering
• Intelligent Software Engineering
• Network Distributed Computing
• +۶ مورد دیگر

Wei Chen is a Research Fellow at the Institute of Software, Chinese Academy of Sciences, where he serves as a PhD and Master's supervisor. He leads the Software Engineering Technology R&D Center and maintains affiliations with the University of Chinese Academy of Sciences and its Nanjing College. Dr. Chen has established himself as a leading figure in intelligent software engineering research within China's academic community. His primary research focuses on four interconnected areas: intelligent code maintenance and quality assurance (particularly Python ecosystem compatibility based on domain knowledge), reliability assurance of complex IoT systems in human-machine-object convergence scenarios, cloud-native system development with emphasis on Function-as-a-Service optimization, and quality assurance of deep learning frameworks in resource-constrained environments. Dr. Chen's work consistently bridges theoretical advances with practical applications, maintaining strong industry collaborations with major Chinese technology companies. Analysis of Dr. Chen's recent publications reveals a strategic integration of AI techniques with traditional software engineering challenges. His research shows increasing emphasis on leveraging large language models for IoT component synthesis, sophisticated dependency management solutions for Python ecosystems, and innovative approaches to testing autonomous systems. The work demonstrates both theoretical depth and practical utility, with many publications leading to implemented tools and systems. Second Prize of Science and Technology Progress Award of China Institute of Electronics (2022) First Prize of Science and Technology Progress Award of China Institute of Electronics (2021) ACM SIGSOFT Distinguished Paper Award (2023) Special Prize of the 4th China Software Open Source Innovation Competition (2021) First Prize in the 4th China Software Open Source Innovation Competition (2021) OW2 Programming Contest First Prize (2016) Dr. Chen has mentored over ten graduate students who have achieved notable success in academic competitions and industry placements. His laboratory (TCSE, http://tcse.cn/) currently manages multiple significant research projects including 'Complex IoT System Reliability Assurance Key Technology Research' (2025-2028), 'Intelligent Development, Testing, and Maintenance of Cloud-native Software Ecosystems' (2024-2027), and 'Traffic Infrastructure Digital Industrial Software Architecture and Core Technology Standard System' (2021-2024). The lab maintains active collaborations with Huawei, Alibaba, Tencent, and other leading technology enterprises.