جست‌وجوی استاد و پژوهشگر

• Wireless Communications
• Information Theory
• Physical Layer Security
• +۷ مورد دیگر

Eduard A. Jorswieck is a University Professor of Communication Systems at the Institute of Communications Engineering , Technical University of Braunschweig, since 2019. He has previously held a professorship at TU Dresden (2008–2019) and has been a lecturer at TU Berlin (2005–2008). Currently, he serves as the Geschäftsführender Leiter (Managing Director) of the Institute of Communications Engineering. Education: Dipl.-Ing. in Computer Engineering (2000), Doctorate (2004) from TU Berlin. Research Interests: His work bridges information theory and wireless communications, focusing on physical layer security , energy efficiency , reconfigurable intelligent surfaces (RIS) , NOMA , MIMO systems , and machine learning for network optimization . He explores stochastic orders, game theory, and fractional programming for resource allocation in 5G/6G networks. Publications & Trends: Recent articles emphasize RIS-aided URLLC , STAR-RIS , 6G security , and AI-driven resource management . His studies span multi-antenna systems , terahertz ISAC , and multi-agent reinforcement learning for UAV networks. Awards: IEEE Signal Processing Society Best Paper Award (2006) IEEE Fellow (2020) Fellow of Industry Academy (AIIA, 2024) Best Paper Award at IEEE ICC 2024 Students & Collaborations: He has mentored researchers like K.-L. Besser, P.-H. Lin, and M. Mross. His lab collaborates on projects involving quantum communication , industrial IoT , and multi-agent systems .

Xiaojun Caoمشاهده پروفایل

استاد

• Optical Networks
• Wireless Networks
• Network Security
• +۳ مورد دیگر

Dr. Xiaojun Cao is a faculty member at the Andrew Young School of Policy Studies, Georgia State University, specializing in optical and wireless network architectures, protocols, and security. His research addresses challenges in bandwidth scalability, network survivability, and future Internet design through innovations in multi-granular switching, traffic grooming, and cross-layer interactions. B.S., Engineering Physics, Tsinghua University, 1996 M.S., Electrical Engineering, Chinese Academy of Sciences, 1999 Ph.D., Computer Science and Engineering, State University of New York at Buffalo, 2004 His work spans three core areas: Optical Network Optimization : Developing waveband switching frameworks for backbone networks, focusing on multi-layer architectures and performance evaluation. Network Survivability : Designing proactive and reactive strategies for protection and restoration in optical and wireless systems. Edge Network Security : Advancing secure service function chain deployment in multi-vendor and zero-trust environments. Recent research trends highlight his leadership in Network Functions Virtualization (NFV) , Edge Computing , and AI-Driven Networking , with publications on blockchain-based federated learning, prompt chain deployment, and asymmetric protection mechanisms. His work bridges theoretical rigor with practical applications in 5G/6G, UAV networks, and smart infrastructure. Dr. Cao leads a research group exploring optical-wireless convergence and has contributed to foundational studies in network virtualization and traffic management.

Mohammad Salahuddinمشاهده پروفایل

استاد پژوهشی

• Machine Learning
• Deep Learning for Networking
• Network Security
• +۶ مورد دیگر

Mohammad Salahuddin is a Research Assistant Professor at the University of Waterloo. He holds a Ph.D. in Computer Science from Western Michigan University (2014), an M.Sc. from Western Michigan University (2003), another M.Sc. from Shaheed Zulfiqar Ali Bhutto Institute of Science and Technology (2001), and a B.Sc. from University of Karachi (FAST-ICS) (1999). His research focuses on machine/deep learning applications in networking, network security, encrypted traffic analysis, and cognitive management of wired/wireless networks. He also explores network softwarization, including SDN and NFV. His work bridges theoretical advancements and practical network system optimization. Research Interests: Machine Learning-driven Network Security Encrypted Traffic Classification using Deep Learning Resource Allocation in 5G/6G and Edge Computing Software-Defined Networking (SDN) Architectures Cognitive Radio Networks and Dynamic Spectrum Management Dr. Salahuddin maintains an active research profile with publications tracked on Google Scholar . His academic webpage at https://cs.uwaterloo.ca/~m2salahu provides further details on ongoing projects and collaborations.

Bogdan Ghitaمشاهده پروفایل

دانشیار

• Cybersecurity
• Network Security
• IoT Security
• +۸ مورد دیگر

Dr. Bogdan Ghita is an Associate Professor and Associate Dean International in the Faculty of Science and Engineering at the University of Plymouth. His primary affiliation is with the School of Engineering, Computing and Mathematics. He leads network research within the Centre for Security, Communications, and Network Research. His research focuses on cybersecurity, IoT security, machine learning applications in networking, blockchain technology, network function virtualization, and disaster communication systems. He has supervised over 20 PhD students on topics ranging from smart grid optimization to network intrusion detection. Teaching responsibilities include undergraduate courses like Cyber Security and Networks, Ethical Hacking, and Network Monitoring, as well as postgraduate modules in Ethical Hacking. He actively contributes to curriculum development in online education and cybersecurity pedagogy. Key research themes include: Network slicing and NFV in disaster recovery systems Cybersecurity for IoT and industrial systems Machine learning for network anomaly detection Blockchain-based trust management for M2M services Forensic analysis of digital evidence His recent work explores AI-driven personalized education frameworks and quantum-resistant cryptographic schemes. He has published extensively in top-tier conferences/journals with a focus on applying computational methods to solve real-world cybersecurity challenges.

Alan Huمشاهده پروفایل

استاد

• Formal Verification
• Algorithms
• Computer Architecture
• +۳ مورد دیگر

Alan Hu is a Professor in the Department of Computer Science at the University of British Columbia (UBC), part of the Faculty of Science. His research focuses on formal verification, algorithms, computer architecture, and electronic design automation. He teaches courses such as Intermediate Algorithm Design and Analysis (CPSC 320) and Introduction to Formal Verification and Analysis (CPSC 513). Dr. Hu has received notable awards, including the IEEE Council on Electronic Design Automation Outstanding Service Award and the IBM Faculty Award. His work emphasizes scalable verification techniques, SAT-based algorithms, and optimization in cloud computing and hardware systems. His research spans formal methods for hardware/software systems, including verification of embedded software, cache coherence, and network function virtualization. Notable contributions include advancements in SAT modulo theories, data race detection in heterogeneous systems, and cloud resource allocation frameworks like Cospot. Dr. Hu has been actively involved in teaching and curriculum development, consistently offering courses on algorithms, formal verification, and software design since 2000. His publications reflect a blend of theoretical foundations and practical applications in electronic design, cloud infrastructure, and verification tools. His scientific achievements include innovations in post-silicon validation, emulation-based coverage reduction, and formal analysis for debug trace optimization. He also contributes to the academic community through conference organization and editorial roles in formal verification and computer-aided design.

• Cryptography
• Blockchain Technology
• Network Security
• +۷ مورد دیگر

Danilo Gligoroski is a Professor at the Department of Information Security and Communication Technology at NTNU. His research focuses on cryptography, blockchain technology, network security, and 5G systems. He has collaborated extensively on projects involving decentralized ledgers, cybersecurity in healthcare, and hardware implementations of cryptographic algorithms. Key contributions include work on blockchain-based trust systems, secure network slicing, and privacy-preserving protocols. Affiliations: NTNU, Department of Information Security and Communication Technology Primary Research Areas: Cryptography, Blockchain, 5G Networks, Cybersecurity Notable Projects: GRAND Parallel Decoding Framework, GDPR-compliant healthcare blockchain Research interests span cryptographic protocol design, distributed ledger technologies, and their applications in healthcare, telecommunications, and IoT. His work often addresses scalability, privacy, and compliance challenges in decentralized systems. Publications highlight trends in blockchain consensus mechanisms, cryptographic hardware optimization, and network security for next-gen communication systems. Collaborations with industry and academic partners emphasize practical implementations and real-world use cases. Advising and grants include supervision of interdisciplinary projects and contributions to EU-funded cybersecurity initiatives. Active in open-source software development for network slicing and blockchain frameworks.

• Computer Networks
• Edge Computing
• Internet of Things (IoT)
• +۵ مورد دیگر

Paolo Bellavista is a Full Professor of Distributed and Mobile Systems at the Department of Computer Science - Science and Engineering, Alma Mater Studiorum – University of Bologna. His research focuses on edge computing, federated learning, IoT, digital twins, and blockchain applications. With over 140 journal articles and 200+ conference papers, his work appears in top venues such as ACM Computing Surveys and IEEE Transactions. He serves as Editor-in-Chief of the MDPI Computers Journal and holds editorial roles in IEEE Communications Surveys&Tutorials and ACM Computing Surveys. His contributions span network optimization, cybersecurity, and smart cities, with notable achievements in citation metrics (h-index 46 on Google Scholar). Research interests include distributed systems, vehicular networks, AI-driven security, and QoS-aware edge infrastructures. He has organized major conferences like IEEE Mobile Cloud and ACM ICDCN. Current projects explore federated learning unlearning, digital twin entanglement, and blockchain-based data spaces. His work bridges theoretical foundations with real-world deployments in smart manufacturing and healthcare. Editorial Roles : MDPI Computers (Editor-in-Chief), IEEE Communications Surveys&Tutorials (Associate Editor), ACM Computing Surveys (Editor) Conference Leadership : Technical Program Chair for IEEE Mobile Cloud 2015, General Co-Chair for SCNS 2018 Key Contributions : Over 140 journal papers, 15 special issues as guest editor, and 200+ conference publications His lab develops middleware for edge-cloud continuum applications and collaborates internationally on projects like InAbled Cities. Office hours are held weekly at the University of Bologna’s DISI department.

Antonia Zhaiمشاهده پروفایل

دانشیار

• Compiler Optimizations
• Computer Architecture
• Parallel Processing
• +۴ مورد دیگر

Antonia Zhai is an Associate Professor in the Department of Computer Science and Engineering at the University of Minnesota. She holds a Ph.D. in Computer Science from Carnegie Mellon University (2005), an M.A.Sc. in Computer Engineering from the University of Toronto (1998), and a B.A.Sc. in Computer Engineering from the University of Toronto (1996). Her office is located at 6-205 Kenneth H. Keller Hall, Minneapolis, MN. Her research focuses on developing novel compiler optimizations and computer architecture features to enhance both performance and non-performance aspects of computing systems. Key interests include: Thread-level speculation for parallel processing Multicore architecture optimization Hardware/compiler co-design for security and reliability Dynamic performance tuning in heterogeneous systems High-speed network packet processing architectures Her publications demonstrate sustained focus on parallel computing, compiler optimizations, and hardware security, with recent work expanding into network function virtualization and cache-side channel attack detection. She leads the High-Performance Computing and Compilers (HPCC) group and organizes the weekly HPCC seminar series focused on architectures and compilers. She has advised 12+ graduate students including 8 PhD graduates now at companies like AMD, NVIDIA, and Oracle. Significant research grants include: NFLambda: NFV Framework (NSF 2021-2025) Dynamic Binary Translation (NSF 2015-2019) In Vivo Software Monitoring (NSF 2009-2014) Embedded Fault Detection (NSF 2009-2014)

Ioannis Lambadarisمشاهده پروفایل

استاد

• Network Traffic Modeling
• Quality of Service (QoS) Control
• Cloud Data Center Resource Allocation
• +۸ مورد دیگر

Ioannis Lambadaris is a Full Professor and Chancellor’s Professor at Carleton University's Department of Systems and Computer Engineering, Faculty of Engineering and Design. Holding a Ph.D. from the University of Maryland, he has contributed extensively to network performance analysis over 25+ years. Specializes in stochastic processes, cloud computing, and wireless edge systems Led Ericsson 5G Chair initiatives Supervised over 70 graduate students His research spans QoS control , VNF placement optimization , and IoT indoor localization , with over 170 publications. Recent work focuses on reinforcement learning and deep learning in network resource allocation. Scientific Recognition: Chancellor’s Professor Ericsson 5G Chair Contact: ioannis@sce.carleton.ca | Office: Mackenzie 4448, Ottawa, ON

Andrea Sgambelluriمشاهده پروفایل

استادیار

• Software Defined Networking (SDN)
• Optical Networks
• Network Reliability
• +۶ مورد دیگر

Andrea Sgambelluri is an Assistant Professor at the TeCIP Institute of Scuola Superiore Sant'Anna in Pisa, Italy. He holds a Master's degree in Telecommunications Engineering (2007) and a Ph.D. (2015) from the University of Pisa, where he received the 2015 OFC Corning Outstanding Student Paper Competition Grand Prize. His research focuses on Software Defined Networking (SDN) for optical networks, network reliability, and AI applications in telecommunications. Education: M.Sc. and Ph.D. in Telecommunications Engineering (University of Pisa) Current Role: Assistant Professor (RTDB), TeCIP Institute, Scuola Superiore Sant'Anna Previous Role: Postdoctoral Researcher at KTH Royal Institute of Technology (2016) Research interests span SDN protocol extensions, YANG/NETCONF solutions, network telemetry, and Machine Learning techniques for optical network management. Recent publications highlight innovations in free space optics, failure forecasting, and edge orchestration frameworks. Key scientific contributions include experimental evaluations of OTN transceivers, augmented reality latency monitoring, and open-source optical software development. His work integrates AI with network function virtualization (NFV) and real-time monitoring systems. Scientific Award: 2015 OFC Corning Outstanding Student Paper Competition Grand Prize Andrea participates in European research projects on next-generation optical networks and cloud-based orchestration, bridging satellite communication and terrestrial network technologies.

Leonardo Bonatiمشاهده پروفایل

پژوهشگر

• Wireless Communications
• Telecommunications
• Network Security
• +۴ مورد دیگر

Leonardo Bonati is an Associate Research Scientist in the Department of Electrical and Computer Engineering at Northeastern University. He specializes in cutting-edge wireless communication systems, particularly focusing on Open RAN, 5G/6G networks, and AI-driven network intelligence. His work emphasizes automated testing, network slicing, and security in software-defined cellular systems. He leads and contributes to high-profile projects such as AutoRAN and DigiRAN, funded under the CHIPS and Science Act, which aim to enhance open and disaggregated cellular network testing and digital twin frameworks. His research also involves experimental platforms like Colosseum and OpenAirInterface for large-scale wireless emulation and real-world testing. Key research interests include: AI-based network control (via dApps/xApps), digital twins for network validation, zero-touch deployment, and security in O-RAN interfaces. He holds multiple patents on topics ranging from network slicing to private 5G connectivity through steganography. Notably, Bonati was recognized among the top 2% most-cited scientists globally in 2024 by Stanford University. He collaborates actively with industry and academia on next-generation cellular technologies, contributing to both theoretical advancements and practical implementations. His advising and grant activities include co-PI roles on major initiatives like AutoRAN (testing automation) and DigiRAN (high-fidelity digital twins), totaling over $4M in funding. Bonati’s work bridges academic research and industry-ready solutions through platforms like Colosseum and the Open RAN Gym.

• Distributed Systems
• Networks
• Security
• +۵ مورد دیگر

Patrick Thomas Eugster is a Full Professor of Computer Science at the Università della Svizzera italiana (USI), leading the Software Systems (SWYSTEMS) group within the Computer Systems Institute, which he co-founded. Previously, he held faculty positions at Purdue University (2005-2016) and TU Darmstadt (2014-2017), with a visiting role at MIT (2012/2013). His research focuses on distributed systems, networking, security, and programming languages, with over 160 publications and significant industry collaborations with companies like Amazon, Google, and Facebook. Education: He holds an M.S. (1998) and Ph.D. (2001) in Computer Science from École Polytechnique Fédérale de Lausanne (EPFL). Research Interests: His work addresses distributed systems challenges such as fault-tolerance, security, and efficient resource management. Recent topics include datacenter reliability, quantum network verification, and confidential computing. His team explores intersections between systems, languages, and networks to build robust and secure distributed applications. Publications: Recent work spans topics like failure detection in datacenters, formal verification of systems, and network congestion control. Key venues include USENIX ATC, ACM SIGMETRICS, IEEE Network, and TACAS. His 2025 work on failure detection and TCAM encoding exemplifies contributions to system resilience and hardware optimization. Awards: Jean-Claude Laprie Award (2025), TACAS Best Paper (2025), ERC Consolidator Grant (2014), NSF CAREER Award (2007). Advising & Grants: Supervised over 20 PhD and postdoctoral researchers. Active grants include EU Horizon Europe CloudStars, Swiss National Science Foundation, and industry partnerships with Cisco and SAP. Labs & Teams: Directs the SWYSTEMS group, collaborating on projects like secure cloud analytics, quantum network verification, and datacenter monitoring. Former students hold roles at universities, tech firms, and startups.

• Cloud Computing
• Networked Systems
• Cybersecurity
• +۷ مورد دیگر

Dr. Qiang Fu is a Senior Lecturer at RMIT University's School of Computing Technologies, specializing in Cloud, Networked Systems, and Security. He holds a PhD from The University of Queensland and is actively involved in industry collaborations. His research focuses on Internet and Cloud-based systems, including Content Delivery Networks (CDNs), data centre design, Cyber-Physical Systems (CPS)/IoT, virtualization, and SDN/NFV. Recent work emphasizes network telemetry, fault detection, and IoT workflow optimization. He has published extensively in top-tier journals and conferences like IEEE Transactions and IFIP NOMS. Dr. Fu supervises PhD/Master students in areas such as network security, cloud computing, and IoT. His projects are often industry-funded and address real-world challenges like network scalability and blockchain integration. He is open to supervising students in these domains through RMIT's scholarship programs.

• Network Programmability
• Network Virtualization
• Routing
• +۷ مورد دیگر

Géraldine Texier is a Professor at the Network Systems, Cybersecurity and Digital Law (SRCD) department of IMT Atlantique, a member of the Adopnet research team at IRISA, and affiliated with the Advanced Connectivity lab of the b com Institute. Her research focuses on network programmability, virtualization, Quality of Service (QoS), inter-domain routing, and IoT. She contributes to academic activities through teaching networking courses and co-developing three MOOCs. Her research spans advanced topics in Software Defined Networking (SDN) Network Function Virtualization (NFV) QoS in inter-domain contexts IoT routing protocols Genetic algorithms for network optimization Fuzzy reputation systems for 5G infrastructure with a particular emphasis on scalable solutions and trust mechanisms. The 15 most recent publications highlight her work in network tomography, federated learning, and 5G slicing. Key trends include AI-driven network service placement reputation systems for RAN sharing genetic algorithms for monitoring optimization inter-domain path computation QoS in virtualized environments collaborative security frameworks In her advisory role, she has directed multiple PhD students including Masoud Taghavian (NFV in 5G Edge) Cedric Morin (SDN-NFV QoS algorithms) Rabah Guedrez (Segment Routing) Pascal Thubert (Deterministic Networks) and maintains active involvement in EU projects and industry collaborations.

Jagruti Sahooمشاهده پروفایل

دانشیار

• Internet of Things (IoT)
• Cybersecurity
• Machine Learning
• +۳ مورد دیگر

Dr. Jagruti Sahoo is an Associate Professor in Computer Science and Academic Program Coordinator for the Cybersecurity Program at South Carolina State University (SCSU), USA. Her research focuses on Internet of Things (IoT) , cybersecurity , machine learning , vehicular networks , and network functions virtualization . Ph.D. in Computer Science and Information Engineering from National Central University, Taiwan (2013) Postdoctoral research at University of Sherbrooke and Concordia University, Canada (2013-2016) Her research lab explores optimization, security, and privacy in IoT and cyber-physical systems, particularly in smart transportation and smart farming domains. She has published extensively in IEEE journals and conferences, with expertise in fog node placement, vehicular network protocols, and VNF management. Dr. Sahoo serves on technical program committees for major conferences (IEEE ICC, Globecom, CCNC, LCN) and as Associate Editor for IEEE Access . She is certified by CompTIA Security+ and contributes to professional organizations like ACM, N² Women, and Women in Cybersecurity (WiCyS).