جست‌وجوی استاد و پژوهشگر

• Cloud Computing
• Edge Computing
• Artificial Intelligence
• +۷ مورد دیگر

Dr. Zhang Qixia is a Postdoctoral Research Fellow in Computer Science at UiT The Arctic University of Norway and a guest researcher at the University of Oslo. She actively contributes to cutting-edge research in cloud/edge computing , machine learning , and energy-efficient IoT systems , with particular focus on air pollution monitoring and wind energy optimization . Current roles: Postdoctoral Research Fellow (UiT), Guest Researcher (University of Oslo) Research projects: HAPADS, MISO, EMLEMS, DILUTE, AirQMan Research group: Arctic Green Computing (AGC) Contact: qixia.zhang@uit.no , +47 96 64 67 05 Her research integrates artificial intelligence with distributed systems to enhance environmental monitoring technologies and renewable energy systems. Recent work demonstrates expertise in autonomous data collection , vehicular edge computing , and machine learning-driven wind energy modeling . Publication Trends reveal a focus on IoT/5G network optimization (2019-2021), wind energy analytics (2022-2023), and intelligent environmental monitoring (2024-2025). Her work bridges computer science with climate science through interdisciplinary applications of transfer learning and control theory . Teaching : Instructor for INF-2300 Computer Communication at UiT.

Guanhua Yanمشاهده پروفایل

دانشیار

• Cybersecurity
• Big Data
• Networking
• +۱ مورد دیگر

Guanhua Yan is an Associate Professor in the School of Computing at Binghamton University. He holds a PhD in Computer Science from Dartmouth College (2005) and previously worked at Los Alamos National Laboratory for nine years as a Research Associate and Research Scientist. His research focuses on cybersecurity, big data, networking, and modeling/simulation, with notable contributions to 5G network security, malware classification using AI, and adversarial machine learning. Education: PhD in Computer Science, Dartmouth College, 2005 Research Interests: Cybersecurity: Including 5G security, malware detection, and adversarial attacks Big Data: Anomaly detection and large-scale workflow analysis Networking: IoT protocols, SDN/NFV, and telecom infrastructure Modeling & Simulation: Network behavior modeling and vulnerability testing Recent work emphasizes proactive defenses against evolving cyber threats, such as 5G core network hardening and developing explainable AI for malware classification. His publications span over two decades, addressing topics ranging from Bluetooth worm propagation to modern 5G vulnerability exploitation. No scientific awards or grants are explicitly mentioned in the provided text. He advises no listed students, though his research likely involves graduate-level collaboration.

Stephen Herwigمشاهده پروفایل

استادیار

• Systems Security
• Cybersecurity
• Distributed Systems
• +۴ مورد دیگر

Stephen Herwig is an Assistant Professor in the Department of Computer Science at William & Mary. His research focuses on systems security, particularly protecting applications in untrusted environments such as the cloud. He explores extending operating systems and distributed systems using trusted hardware and applied cryptography. Herwig earned his PhD from the University of Maryland under the guidance of Dave Levin. Education: PhD in Computer Science, University of Maryland (Advisor: Dave Levin) Research Interests: Trusted Execution Environments Secure Distributed Systems Cloud and IoT Security Sandboxing Techniques Privacy-Preserving Networks Key Contributions: Developed the secmodel_sandbox kernel module for NetBSD Designed Bento for Tor network function virtualization Studied the Hajime IoT botnet Awards: Best Presentation Award at EuroSec 2025 for Mazu architecture Advising & Grants: Actively recruiting self-motivated students interested in secure systems development. Emphasizes low-level software expertise and proactive communication. Labs/Projects: Maintains the secmodel_sandbox open-source project on GitHub, focusing on dynamic kernel security policies for NetBSD.

Tasneem Darwishمشاهده پروفایل

استادیار

• Intelligent Network Management
• Satellite Networks
• Software Defined Networks (SDNs)
• +۶ مورد دیگر

Tasneem Darwish is an Assistant Professor in the Department of Computer Science at Saint Francis Xavier University. Their research focuses on intelligent and autonomous network management, including software-defined networks (SDNs), network function virtualization (NFV), satellite networks, 5G/6G technologies, vehicular ad hoc networks (VANETs), IoT, blockchain, and network security. Their work emphasizes future network architectures and protocols for emerging technologies like LEO satellites and edge computing. Research interests include optimizing network performance through graph-based frameworks, latency reduction in distributed systems, and secure communication protocols. They have contributed to interdisciplinary areas such as smart transportation systems via vehicular networks and high-altitude platform stations (HAPS) for enhanced connectivity. Publications highlight trends in satellite-based communication infrastructure, self-evolving network management systems, and challenges in integrating emerging technologies into existing frameworks. Their work bridges theoretical advancements with practical implementations in next-generation networks. No scientific awards or grants are explicitly mentioned in the provided texts. Advising responsibilities and lab affiliations remain unspecified.

• Quality of Experience (QoE)
• Network Management
• Software Defined Networking (SDN)
• +۵ مورد دیگر

Florian Wamser is a Professor at the Lucerne School of Computer Science and Information Technology, part of Lucerne University of Applied Sciences and Arts. His research focuses on Quality of Experience (QoE), network management, and emerging technologies like SDN and IoT. He leads projects such as 'Post-Processing in Quantenkryptographie' and has contributed to over 50 peer-reviewed articles since 2012. His work spans video streaming optimization, mobile network analysis, and edge computing. Notable contributions include studies on YouTube QoE, SDN resilience under DDoS attacks, and IoT connectivity challenges. He has developed tools like YoMoApp for crowdsourced QoE monitoring and contributed to frameworks like MvnoCoresim for virtualized networks. Recent research trends highlight machine learning applications in QoE prediction, serverless computing definitions, and energy-efficient edge-cloud integration. His datasets on video streaming metrics and mobile network measurements are widely cited in academic and industry studies. No scientific awards or grants are explicitly listed, but his extensive publication record reflects sustained academic leadership. He engages in collaborative projects with industry and academic partners, emphasizing practical network solutions for real-world challenges.

• Wireless Networks
• Machine Learning
• 6G Communication
• +۴ مورد دیگر

Zhu Han is a Professor at the University of Houston, TX, USA, with a PhD from the University of Maryland, College Park. He is affiliated with the Chinese Academy of Sciences' Aerospace Information Research Institute in Beijing, China. His research spans wireless networks, 6G communication, and machine learning applications in telecommunications. Key areas: Semantic communication, UAV networks, IoT security, quantum networking. Recent publications focus on federated learning, optical IRS for VLC, and resource allocation in LEO satellite systems. His work integrates AI with network security and edge computing. He collaborates extensively on topics like reconfigurable intelligent surfaces, quantum-assisted optimization, and privacy-preserving protocols. No specific awards or student details are provided in the dataset.

• Wireless Communications
• Telecommunications
• Networking Protocols
• +۳ مورد دیگر

Andreas Timm-Giel is a Professor at the Technische Universität Hamburg (TUHH), affiliated with the Department of Electrical Engineering and Information Technology. His research focuses on telecommunications, wireless networks, and network protocols, with a particular emphasis on aeronautical systems, sensor networks, and quality-of-service (QoS) optimization. He has contributed significantly to infrastructure-less networking, dynamic spectrum access, and avionic communication systems. Education: Not explicitly stated in the provided text. Key research areas include wireless sensor networks, 5G architectures, and network emulation tools like FlowEmu. His work spans theoretical analysis (e.g., queuing theory, combinatorics) and practical implementations (e.g., LTE optimization, seismic data acquisition). Recent articles highlight advancements in end-to-end delay modeling, self-organized TDMA protocols for aeronautical networks, and high-density platooning in vehicular systems. Publications emphasize interdisciplinary approaches, merging networking theory with real-world applications in energy grids, seismic data, and avionics. His contributions bridge academic research and industrial challenges, such as optimizing low-voltage distribution grids and enhancing QoS in critical avionic systems.

• Cloud Computing
• Distributed Systems
• Cybersecurity
• +۳ مورد دیگر

Ramin Yahyapour is a researcher affiliated with the University of Göttingen and GWDG (Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen). His work focuses on cloud computing, distributed systems, cybersecurity, and high-performance computing. Key research areas include virtual machine migration optimization, data center energy efficiency, federated identity management, and parallel computing frameworks. He has collaborated extensively with institutions like the University of Göttingen and researchers such as Philipp Wieder, Faraz Fatemi Moghaddam, and Andrei Tchernykh. Research Interests: Cloud resource optimization Cybersecurity for distributed systems Workflow management in data-intensive environments Network function virtualization Machine learning for system scheduling Identity and access management Publications span topics like VM placement algorithms, data center power reduction, and federated identity systems, demonstrating expertise in both theoretical and applied computer science. His work often bridges academia and industry, addressing real-world challenges in cloud infrastructure and digital systems.

• 5G/6G Networks
• Spectrum Management
• Cognitive Radio Networks
• +۵ مورد دیگر

Professor Demestichas Panagiotis is a faculty member at the University of Piraeus' Department of Digital Systems, leading the Telecommunication Networks and Integrated Services Laboratory (http://tns.ds.unipi.gr). He holds a PhD from the National Technical University of Athens and has been a Professor since 2012. His research focuses on 5G/6G networks, cognitive radio, smart wireless access, and network virtualization. He coordinates major projects like OneFIT and Hexa-X, and has supervised 10 completed PhD students with 3 ongoing. He actively contributes to standardization bodies (ETSI, IEEE) and European initiatives (Horizon 2020). Education: PhD in Electrical Engineering, National Technical University of Athens BEng in Electrical Engineering, National Technical University of Athens Research Interests: 5G/6G Architecture and Spectrum Management Smart Network Management (Cognitive, Autonomic) SDN/NFV and Network Virtualization AI-Driven Communication Systems Industrial IoT and Digital Twins Grants/Projects: Hexa-X (European 6G Flagship Project) OneFIT (Network Slicing) SLALOM, iCore, ACROPOLIS (5G Innovations) Labs/Teams: Leads the Telecommunication Networks and Integrated Services Lab, collaborating with institutions like the University of Surrey's 5G Innovation Centre.

Pero Latkoskiمشاهده پروفایل

استاد

• Wireless Communications
• Spectrum Management
• Heterogeneous Networks
• +۳ مورد دیگر

Pero Latkoski is a Professor at the Faculty of Electrical Engineering and Information Technologies (FEIT) of Ss. Cyril and Methodius University of Skopje, specializing in Telecommunications. He holds a PhD from FEIT (2010), M.Sc. (2006), and B.Sc. (2004) from the University of Technology in Skopje (ETF). His research focuses on wireless communication systems, spectrum management, heterogeneous networks, and protocol engineering. Notable contributions include work on cognitive radio networks, secondary spectrum usage (e.g., TVWS), and network function virtualization (NFV) architectures. He has led projects on RIWCoS platform development for heterogeneous networks and contributed to digital switchover (DSO) studies in Macedonia. Latkoski has authored over 60 peer-reviewed articles and two books. His recent work explores blockchain applications in education and healthcare, AI-driven perimeter security, and 5G/edge computing integration. He actively collaborates with institutions like SPRINGER, IEEE, and COST Action IC0902. Labs/Teams: Head of Telecommunications Institute at FEIT, RIWCoS platform developer, and contributor to COST Action IC0902 spectrum whitespace initiatives.

Luca Abeniمشاهده پروفایل

دانشیار

• Real-Time Systems
• Cloud Computing
• Virtualization
• +۶ مورد دیگر

Luca Abeni is an Associate Professor at the ReTiS Lab (Real-Time Systems) of Scuola Superiore S. Anna , Pisa. He graduated in Computer Engineering from the University of Pisa in 1998 and earned his PhD at Scuola Superiore S. Anna (1999-2002), focusing on real-time operating systems, scheduling algorithms, and QoS management. His career includes a visiting researcher role at Carnegie Mellon University (2000) and Oregon Graduate Institute (2001), followed by a full-time researcher position at the University of Trento's DISI department (2006-2017). Research Interests include real-time systems, cloud computing, virtualization, containerization (e.g., RT-Kubernetes), Linux kernel optimization, fault tolerance, and scheduling algorithms. His work addresses temporal isolation in cloud/edge environments, energy-efficient real-time computing, and adaptive resource management. Scientific Awards 2021 RTSS Influential Paper Award for 1998 paper on real-time scheduling Notable Contributions involve Xen/KVM latency analysis, deadline-based scheduling, ARM big.LITTLE partitioning, and kernel bypass mechanisms. He developed tools like PROSIT for probabilistic real-time analysis and artifacts for reproducing experiments.

Arsenia CHORTIمشاهده پروفایل

استاد

• 5G/6G Networks
• Wireless Security
• Physical Layer Security
• +۶ مورد دیگر

Dr. Arsenia CHORTI is a Full Professor at École Nationale Supérieure d'Électronique et de ses Applications (ENSEA), affiliated with the ETIS laboratory and the Barkhausen Institut. She specializes in 5G/6G wireless systems, with a focus on physical layer security, network security, and secure communication protocols. Her research addresses challenges in authentication, confidentiality, and integrity in next-generation networks. Teaching responsibilities include Digital Communications, Cryptography fundamentals, and IoT security. She actively contributes to IEEE initiatives, serving as Chair of the Physical Layer Security Focus Group and TPC Chair for IEEE ICC 2023. Her publications (over 120 articles) emphasize practical security solutions for 6G, including AI/ML-driven security frameworks and physical layer authentication protocols. Key affiliations: ETIS Lab, Barkhausen Institut Editorial roles: IEEE ComSoc Best Readings Research foci: Secret key generation, secure slicing, jamming mitigation, and physical layer cryptography Her work bridges theoretical security principles with real-world implementations, addressing emerging threats in IoT, vehicular networks, and cyber-physical systems.

Jiayi Mengمشاهده پروفایل

استادیار

• Mobile Systems
• Mobile Networking
• Edge Computing
• +۷ مورد دیگر

Jiayi Meng is an Assistant Professor in the Department of Computer Science and Engineering at The University of Texas at Arlington, where he has been teaching since September 2023. His academic career includes a Research Intern position at AT&T Research Labs from June to August 2019. Dr. Meng received his PhD in Computer Science from Purdue University in 2023, following a BS in Computer Science & Technology from the University of Science and Technology of China in 2016. Dr. Meng's research focuses on Systems and Networking , with particular emphasis on Mobile Systems and Mobile Networking . His work spans several cutting-edge areas including VR/AR/MR , mobile/edge computing , and 4G/5G and beyond cellular networks. His research has significantly advanced edge-assisted augmented reality systems and cellular network traffic modeling, with practical applications for immersive computing and next-generation wireless networks. Dr. Meng has received several prestigious awards including the ACM EdgeSys Best Paper Award (2022), Best Paper Award (Runners Up) at ACM IMC 2023, Rising STARs Award from the University of Texas System (2023), and Rising STARs Sub-Award (2024). He has also received the Departmental REU Award from the Computer Science and Engineering Department at UTA. As an advisor, Dr. Meng has chaired multiple dissertation committees and serves on numerous others, guiding PhD students in areas related to mobile systems and networking. He has been actively involved in professional service, serving on program committees for major conferences including EuroSys, SIGCOMM, and SOSP, and has co-chaired the SOSP Artifact Evaluation Committee (2023). Dr. Meng is a member of both the Institute of Electrical and Electronics Engineers (since December 2023) and the Association for Computing Machinery (since January 2023), demonstrating his commitment to the broader academic community.

Laurent Schumacherمشاهده پروفایل

مدرس

• Mobile Network Architecture
• Software Defined Networking (SDN)
• Crowdsourcing Applications
• +۳ مورد دیگر

Laurent Schumacher is a Lecturer at the Faculty of Computer Science, University of Namur, Belgium. He earned an M.Sc.E.E. from UMons (1993) and a Ph.D. from UCL (1999), followed by postdoctoral work at Aalborg Universitet. His expertise spans telecom research, computer architecture, and networking, with 30+ publications and technical reports focused on mobile networks and standardization contributions to 3GPP and IEEE 802.11n. Affiliation: University of Namur, Faculty of Computer Science (since 2003) Education: Ph.D., Université Catholique de Louvain (1999) Research interests center on mobile network architecture redesign using SDN, crowdsourcing applications, and network virtualization. Current projects include federated experimental labs (FLECSiWaB) and cyber security excellence (CYBEREXCELLENCE), with focus on cross-cloud deployment and educational games. He has contributed to 3GPP TSG Radio Access Network WG1 and IEEE 802.11 High Throughput Study Group, serving as reviewer for the European Commission and IWT. Collaborations span 19 projects since 2004, including PRW 13 and PRW 65 grants. Patents: 2 referenced patent families Mendeley: 19 research outputs with 2 readers

• Software Defined Networking
• Programmable Data Planes
• Machine Learning
• +۳ مورد دیگر

Cristian Bermudez Serna is a researcher at the Chair of Communication Networks (Prof. Kellerer) at the Technical University of Munich (TUM). He holds an M.Sc. in Electrical Engineering from TUM and a Bachelor's in Telecommunications Engineering from Universidad de Antioquia, Colombia. His research focuses on mechanisms for efficient network reconfigurations in mobility scenarios, with emphasis on Software Defined Networking (SDN), programmable data planes, and machine learning applications in networking. Education: Bachelor's in Telecommunications Engineering, Universidad de Antioquia (2016) M.Sc. in Electrical Engineering, Technical University of Munich (2021) Research Interests: Optical access networks planning and robustness Future railway communication systems Survivable multi-domain network routing Post-quantum cryptography in optical networks Publications span topics like infrastructure cost savings in rural PONs, survivable routing mechanisms, and SDN control plane optimization. His work integrates algorithmic approaches with real-world network challenges in telecommunications and transportation systems.