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Hamed RezaeiView profile

Adjunct Professor

• Computer Networks
• Congestion Control
• Low-Latency Networking
• +3 more

Hamed Rezaei is an Adjunct Professor in the Department of Computer Science at the University of Wisconsin-Milwaukee, affiliated with the College of Engineering & Mathematical Sciences. He works as a full-time researcher at Rockwell Automation, focusing on computer networks, particularly congestion control and low-latency applications. Education: PhD in Computer Science, University of Illinois at Chicago MS in Computer Science, University of Illinois at Chicago BS in Computer Science, Razi University, Iran His research interests include: Congestion Control Software Defined Networking (SDN) Network Function Virtualization (NFV) Programmable Data Planes Publications highlight expertise in datacenter networking, congestion control, and low-latency systems. Key areas include network protocols, SDN-based traffic management, and security frameworks for large-scale networks. His work spans both theoretical and applied domains, including contributions to datacenter topologies (Superways), flow scheduling (ResQueue), and DDoS detection mechanisms. Contact: rezaeih@uwm.edu

Dave DenieffeView profile

Professor

• Internet Exchange Points
• Network Function Virtualization
• Software Defined Networking
• +3 more

Dave Denieffe serves as Vice President for Academic Affairs at South East Technological University (SETU), providing strategic leadership across academic operations while maintaining an active research profile in telecommunications infrastructure for developing regions. He accepts PhD students and contributes to SETU's designation as a University of Sanctuary for refugees. His academic credentials include: Masters Degree in Telecommunications Engineering from Dublin City University (awarded January 31, 2003) Bachelors Degree in Electronic Engineering from National University of Ireland, Galway (awarded June 21, 1996) Denieffe's research expertise centers on Internet Exchange Points (IXPs), Network Function Virtualization (NFV), and Software-Defined Networking (SDN), with specialized focus on adapting these technologies for resource-constrained environments in East Africa and Mozambique. His work addresses critical challenges in internet infrastructure deployment through participatory design methodologies and field implementations that bridge theoretical networking concepts with practical development needs. Analysis of his 2017-2020 publications reveals concentrated efforts on distributed IXP architectures, empirical studies of East African internet ecosystems, and elastic network solutions for developing contexts. These works consistently emphasize practical implementation frameworks that enhance connectivity while addressing socio-technical barriers to digital inclusion, demonstrating strong alignment between technical innovation and developmental impact. While no specific scientific awards are documented, his research impact is evidenced by an h-index of 35, substantial Scopus citations, and real-world applications across multiple African countries. As an academic supervisor, Denieffe accepts PhD students and has guided graduate researchers. His current research engagement includes the Pathways Mozambique project (2023-2024) as Team Member, developing technology solutions for women and youth in Niassa province through participatory design approaches addressing agripreneurship and youth unemployment. Operating within SETU's engCORE research environment, Denieffe maintains active international collaborations with institutions in Uganda, Kenya, and Mozambique. His work frequently involves multi-stakeholder partnerships combining academic research with on-ground implementation, particularly through the SETU Digital Education Conference which drives technological transformation in educational practices across the Global South.

• Edge Computing
• Satellite Communications
• Network Virtualization
• +3 more

Haffay ABREHA is a Doctoral researcher at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), within the SigCom department. His research focuses on advanced networking technologies, including edge computing, satellite communications, and federated learning. He holds a strong interest in network virtualization, resource management, and optimizing mission-critical applications in distributed systems. Contact: haftay.abreha@uni.lu Research Interests: ABREHA’s work spans satellite edge networks, federated learning frameworks, fog computing monitoring, and resource-aware caching strategies. He explores how machine learning can enhance adaptive systems and improve network reliability in dynamic environments. Recent studies emphasize fairness-aware VNF scheduling, SDN/NFV integration, and optimizing content delivery in multi-layer satellite architectures. Labs/Teams: Active member of the SigCom research group at SnT, contributing to interdisciplinary projects on secure and reliable communication systems.

Lingfen SunView profile

Visiting Associate Professor

• Multimedia Communications
• Networking
• Machine Learning
• +4 more

Dr. Lingfen Sun is a Visiting Associate Professor at the University of Plymouth's School of Engineering, Computing and Mathematics. Previously serving as a Reader (Associate Professor), she specialized in Multimedia Communications and Networks. Her research focuses on Quality of Experience (QoE) management in multimedia services, healthcare technology applications (e.g., EEG/MRI-based biomarkers for Alzheimer’s and Parkinson’s diseases), and cloud security frameworks. She has supervised over 20 PhD/ResM students, contributing to advancements in SDN/NFV networking, AI-driven medical diagnostics, and adaptive video streaming. Teaching responsibilities include Advanced Routing, Machine Learning, and Multimedia Networks modules. Her work addresses critical areas such as QoE-centric network management in 5G systems, healthcare cloud security maturity models, and explainable AI applications in medical imaging. Notable projects include the M2HCS framework for healthcare cloud security and QoEMultiSDN architecture for multimedia service optimization. Her research spans 17+ years, with contributions to video quality prediction over wireless networks, EEG biomarker development, and SDN-based solutions for multimedia traffic. She has maintained academic-industry collaborations in telecommunications and healthcare technology sectors.

• Artificial Intelligence
• Computational Modelling
• Data-Driven Modelling
• +9 more

Savas Konur is a Professor of Artificial Intelligence and Computational Modelling at the University of Bradford's Faculty of Engineering and Digital Technologies, serving as Head of the School of Computer Science, Artificial Intelligence and Electronics. Previously, he held roles as Lecturer, Senior Lecturer, and Reader at Bradford, and worked at the University of Sheffield and Liverpool. He earned his B.Sc. from METU (Turkey), M.Sc. from RWTH Aachen (Germany), and Ph.D. from the University of Manchester (UK). His research focuses on computational modelling, machine learning, software engineering, and high-performance computing with interdisciplinary applications in systems biology, membrane computing, and smart manufacturing. He has secured £1.5M as PI and £1.3M as Co-I in grants from EPSRC, Innovate UK, and others, fostering collaborations with industry and academia globally. He leads the Computational Modelling Research Group and serves on editorial and advisory boards including the Journal of Membrane Computing and International Membrane Computing Society. Prof Konur’s work spans cybersecurity, synthetic biology tools, and automation, evidenced by over 76 publications and 11 research projects. His research has garnered multiple awards and recognitions, reflecting his contributions to computational science and interdisciplinary innovation.

• Cloud/Edge Computing
• 6G Networks
• Artificial Intelligence
• +3 more

Dr. Ali Khoshkholghi is a Lecturer in Computing Science at Middlesex University's Faculty of Science and Technology, Department of Computer Science. He leads modules on Operating Systems, Computer Networks, and Network Security while conducting research at the intersection of cloud/edge computing, 6G networks, and AI-driven network optimization. His research develops intelligent frameworks for next-generation networks, focusing on performance optimization of service function chains in NFV-enabled environments, federated learning for multi-operator systems, and security protocols for IoT ecosystems. Recent projects include blockchain-IoT integration for smart environments, UAV network optimization, and threat detection systems for intelligent transportation. Dr. Khoshkholghi's publications demonstrate consistent innovation in network architectures, with work on in-band telemetry optimization (IntOpt), edge intelligence deployment, and federated learning models for telecommunications. His security research addresses vulnerabilities in messaging protocols, malware detection in smart homes, and cryptographic evaluation using formal methods.

Dejan KosticView profile

Professor

• Distributed Systems
• Computer Networks
• Operating Systems
• +6 more

Dejan Kostic is a Chair Professor of Internetworking at KTH Royal Institute of Technology, leading the Networked Systems Laboratory. He is affiliated with RISE Research Institutes of Sweden and the Wallenberg AI, Autonomous Systems and Software Program (WASP). His research focuses on distributed systems, computer networks, operating systems, and machine learning applications in networking. Education: Ph.D. in Computer Science, Duke University M.S. in Computer Science, University of Texas at Dallas B.S. in Computer Engineering, University of Belgrade Research Interests: His work spans distributed systems , high-performance networking , smartNIC offload , AI-driven systems , and network function virtualization (NFV) . Recent projects include energy-efficient AI inferencing (Wallenberg Scholar Project) and scalable federated learning for healthcare applications. Key contributions include the PacketMill framework, FAJITA stateful processing, and the LineFS distributed file system. Publications & Awards: ERC Starting (2010) and Consolidator (2018) Awards Wallenberg Scholar (2024) Best Paper at SOSP 2021 and Community Award at NSDI 2022 Advising & Grants: Supervised over 15 doctoral students, including notable alumni like Hamid Ghasemirahni and Alireza Farshin. Leads projects funded by ERC, WASP, and Swedish Research Council (VR). Active in grant review panels for ERC and Swedish Foundations. Labs & Teams: Heads the Network Systems Laboratory (NSLab) at KTH, collaborating with Ericsson and RISE on industrial projects. Key initiatives include the Networked Systems for Machine Learning course and the Connected Intelligence unit at RISE.

• Computer Networking
• Network Performance Analysis
• Stochastic Network Calculus
• +5 more

Yuming Jiang is a full Professor at NTNU's Department of Information Security and Communication Technology (Faculty of Information Technology and Electrical Engineering). He holds a BSc from Peking University, MEng from Beijing Institute of Technology, and PhD from National University of Singapore (NUS). His research focuses on network performance analysis, stochastic network calculus, and quality of service guarantees in communication networks. He authored the seminal book Stochastic Network Calculus (Springer, 2008). He has held roles including Study Programme Leader for NTNU's Master of Science in Digital Infrastructure and Cyber Security, and is a member of the Norwegian Academy of Technological Sciences (NTVA). Prof. Jiang has extensive experience in academic leadership, serving as conference chair (e.g., IFIP Networking 2014, IEEE Vehicular Technology Conference 2008) and committee roles in major networking communities. His work spans theoretical advancements (e.g., stochastic network calculus properties) and practical applications (e.g., UAV-assisted IoT security, NFV reliability). Key research contributions include modeling wireless channel capacity, analyzing time-sensitive networks (TSN/DetNet), and developing security frameworks for emerging communication systems. His publications (over 150 papers) bridge theoretical foundations and real-world network challenges in areas like energy-efficient communication, cyber-physical systems, and blockchain performance.

• Cloud Computing
• Fog Computing
• SDN Microservices
• +7 more

Giuseppe Di Modica is an Associate Professor at the Department of Computer Science - Science and Engineering, University of Bologna. His research focuses on cloud computing, edge/fog systems, IoT, and digital twins for industrial applications. He has contributed to frameworks like IoTwins and H2F, addressing challenges in distributed computing, microservice orchestration, and latency optimization in SDN architectures. His work spans containerized application management, geo-distributed big data processing, and security in serverless environments. Key research themes include: Cloud-edge continuum orchestration IoT service placement in fog environments SDN microservice architecture design Lightweight virtualization for Industry 4.0 Validation of performance models for microservices His publications emphasize practical implementations, such as the Torch orchestrator for multi-cloud deployments, and frameworks for fault-aware cloud provisioning. Ongoing work explores digital twin platforms for manufacturing and smart facility management, leveraging edge-cloud synergy and real-time data analytics. He holds a permanent academic position with no part-time designation noted. Contact: giuseppe.dimodica@unibo.it, +39 051 20 9 3866.

• Computer Networks
• Software-Defined Networking (SDN)
• Telecommunications
• +5 more

José Manuel Arco Rodríguez is an Associate Professor in the Department of Automation at the Universidad de Alcalá (Spain). He holds a Doctorate from the same institution for his thesis Propuesta de optimización de la interconexión de redes con calidad de servicio para aplicaciones multimedia (2000), supervised by Dr. Daniel Meziat Luna. His research focuses on intelligent networks, software-defined networking (SDN), edge computing, and telecommunication systems, with particular emphasis on network optimization, protocol design, and AI integration in network architectures. He leads the NetIS research group (Networks and Intelligent Systems), exploring cutting-edge solutions for scalable, reliable data center networks and industrial IoT ecosystems. Key research areas include in-band network control, hybrid SDN architectures, multi-hop edge computing with IoT devices, and low-latency bridging protocols. His work spans theoretical frameworks to hardware implementations (e.g., NetFPGA), with a strong emphasis on practical applications in data centers, campus networks, and industrial environments. Recent contributions address AI-driven network management, plug-and-play routing protocols, and zero-configuration network architectures. Publications highlight advancements in SDN topology discovery (TEDP), scalable addressing (GA3), and path exploration protocols (ARP-Path, All-Path Bridging). His research bridges theoretical networking principles with real-world deployment challenges, often emphasizing interoperability between legacy and modern systems. Arco Rodríguez has collaborated on EU-funded projects and contributed to international standards for network protocols. His lab (NetIS) actively develops open-source tools for network analysis and simulation. Current research trends include AI-enhanced softwarized networks and cloud-edge continuum architectures for IIoT.

• Business Process Management
• Process Mining
• Cloud Computing
• +3 more

Walid Gaaloul is a Professor at Télécom SudParis, part of the Institut Polytechnique de Paris (IP Paris) and Institut Mines Télécom. He serves as Deputy Director of the SAMOVAR research laboratory and leads the ACMES research team. He is also a member of the DIEGO group within the Computer Science Department at Télécom SudParis. Previously, he was a researcher at the Digital Enterprise Research Institute (DERI) and an adjunct lecturer at the National University of Ireland, Galway (NUIG). He holds an M.S. (2002) and Ph.D. (2006) in Computer Science from the University of Lorraine, France, and a habilitation (2014) from Pierre et Marie Curie University, Paris. His research focuses on Business Process Management, Process Mining, Cloud Computing, and Service-Oriented Computing. He has authored over 200 publications in these domains and actively contributes to international conferences and journals as a reviewer and committee member. His work spans topics like cloud resource allocation, process discovery from emails, IoT service optimization, and blockchain-based process execution. His articles explore cutting-edge topics such as energy-efficient IoT service migration, trustworthy decentralized auctions, and formal verification of edge service monitoring. He collaborates on national and European projects addressing cyber-physical systems and distributed cloud-edge infrastructures.

• 5G and 6G
• Network services chain
• SDN
• +7 more

Jordi Mongay Batalla serves as Associate Professor in the Department of Computer Network and Services at Warsaw University of Technology's Faculty of Electronics and Information Technology, while concurrently holding the position of Deputy Director of Research at Poland's National Institute of Telecommunications. His professional influence extends to critical national and international advisory roles including technical membership in the European Blockchain Services Infrastructure, Polish Government adviser for 5G cybersecurity legislation, and technical adviser to the Ministry of Infrastructure for autonomous automotive systems. M.Sc. in Telecommunications Engineering (2000, Universitat Politecnica de Valencia) Ph.D. in Telecommunications (2009, Warsaw University of Technology) Habilitation in Telecommunications (2017, Warsaw University of Technology) His research program centers on next-generation network technologies with dual focus on infrastructure (5G/6G radio systems, O-RAN architectures, SDN/NFV) and applications (IoT ecosystems, Smart Cities, multimedia services). Recent work demonstrates expanding interdisciplinary reach into human-centric domains including metaverse applications for elderly populations and psychological aspects of technology adoption, reflecting his completion of postgraduate studies in psychology and social sciences. Methodologically, he integrates artificial intelligence techniques across wireless networking domains with particular emphasis on security and reliability. Analysis of recent publications (2023-2025) reveals three dominant research trajectories: (1) O-RAN optimization through machine learning-enhanced beamforming and security validation, (2) resilient UAV network architectures for disaster scenarios featuring novel clustering algorithms, and (3) IoT-cloud integration for healthcare and smart city applications. His work consistently addresses practical implementation challenges while maintaining strong connections to standardization efforts through ITU-T SG-12 and European regulatory frameworks. Dr. Mongay Batalla leads the Next Generation Mobile Networks Team at Warsaw University of Technology and has coordinated over 30 national/international research projects including four EU ICT Programme initiatives. His technology transfer activities span two patents (Polish and European) and active participation in the vINCI platform for clinically-validated assisted living solutions. As an IEEE Member since 2010, he maintains strong industry connections through roles in Polish normalization committees and international technical groups.

Tommaso CucinottaView profile

Associate Professor

• Cloud Computing
• Real-Time Systems
• Artificial Intelligence
• +7 more

Tommaso Cucinotta is an Associate Professor at the Real-Time Systems Laboratory (ReTiS) within the TECIP Institute of Scuola Superiore Sant'Anna, Pisa, Italy. He earned a MSc and PhD in Computer Engineering from University of Pisa and Scuola Superiore Sant'Anna, respectively. His career spans academic and industrial roles, including researcher positions at Alcatel-Lucent Bell Labs (2012-2014) and Software Development Engineer at Amazon DynamoDB (2014-2016). He coordinates real-time and embedded systems research at ReTiS since 2019. Born in 1974, Potenza, Italy MSc in Computer Engineering, University of Pisa (2000) with 110 cum laude PhD in Computer Engineering, Scuola Superiore Sant'Anna (2004) His research focuses on real-time systems in cloud environments, including adaptive resource management, AI-driven performance monitoring, secure computing, and scalable NoSQL databases. He explores operating system innovations for many-core architectures, network function virtualization (NFV) optimization, and kernel-level enhancements for latency control. His work integrates formal methods with practical implementations, such as autonomic QoS control and high-performance container communication frameworks. Recent publications analyze predictive elasticity in cloud infrastructures, real-time DAG optimization on heterogeneous platforms, and AI applications for system-level performance tuning. He actively contributes to open-source tools like ARSim and AQuoSA, while mentoring MSc thesis projects on topics like Kubernetes optimization, fault-tolerant replication logs, and machine unlearning techniques for LLMs. Collaborations with industry leaders (Ericsson, Red Hat, Vodafone) bridge academic research with real-world scalability challenges. Scientific awards include the Best Paper Award at CLOSER 2020 for his work on high-performance inter-container communication frameworks. He participates in program committees of major conferences and contributes to the evolution of Linux real-time scheduling mechanisms through projects like SCHED_DEADLINE enhancements for multimedia applications.

• Data Center Networks
• Autonomous Network Management
• Machine Learning Applications in Networking
• +3 more

Kaan Aykurt is a Researcher at the Department of Communication Networks within the College of Engineering at Technical University of Munich (TUM) , where he works under the supervision of Prof. Wolfgang Kellerer. He joined TUM in May 2022 after completing his M.Sc. and holds dual B.Sc. degrees in Electrical and Electronics Engineering and Economics from Koç University, Istanbul. B.Sc. Electrical & Electronics Engineering (Koç University, 2019) B.Arts Economics (Koç University, 2019) M.Sc. Technical University of Munich (2022) Kaan's research focuses on data center networks , multi-domain autonomous network management , and machine learning applications in communication networks . His work explores graph neural networks (GNNs) for network optimization, large language model benchmarks for network configuration, and TCP behavior in reconfigurable environments. Key projects include netLLMBench, HyPA autoscaling, and digital twin systems. Recent publications span GNN-based management for 6G networks (2023), TCP performance in dynamic data centers (2023), and ML framework traffic analysis (2021). His work often intersects AI-driven networking , automated resource allocation , and network protocol evaluation . Collaborations include researchers from Northeastern University and University of Augsburg. As a research associate, Kaan contributes to the Chair of Communication Networks 's initiatives in autonomous systems and network intelligence. His work aligns with broader projects like 6G Future Lab Bavaria and DFG-funded research at TUM.

• Cloud Computing
• Evolutionary Computation
• Artificial Intelligence
• +7 more

Dr Hui Cheng is a Senior Lecturer in the School of Computer Science at the University of Hertfordshire. His research focuses on cloud computing, artificial intelligence, and network systems, with a strong emphasis on the Internet of Things (IoT) and software-defined networking (SDN). PhD in Computer Science from The Hong Kong Polytechnic University (2007) MSc in Computer Science from Northeastern University, China (2004) BSc in Computer Science from Northeastern University, China (2001) Dr Cheng’s work bridges theoretical and applied computer science, particularly in IoT security , multi-robot coordination , and network virtualization . His publications highlight innovations in trust models for IoT, adaptive caching strategies, and open routing frameworks. His recent articles explore IoT trust management , cloud robotics , and SDN/NFV architectures , reflecting trends in secure and scalable networked systems. He contributes to the Networks and Security Research Centre and Centre for AI and Robotics Research. 2021: Multi-robot environmental monitoring with virtual force schemes 2021: Dynamic trust models for IoT service composition 2019: Collaborative trust frameworks for IoT applications 2019: Open routing-as-a-service (RaaS) architectures 2018: Big data-driven adaptive caching in information-centric networks