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Sonya HillView profile

Senior Lecturer

• Animal welfare
• Animal behaviour
• Zoo animal welfare
• +4 more

Sonya Hill serves as Deputy Head of the School of Natural Sciences at the University of Chester, where she also holds the position of Senior Lecturer in Animal Behaviour and Welfare. Her extensive administrative responsibilities include serving as Timetabling Contact, Disability Link Tutor for the School, Chair of Student Voice Meetings for biological sciences programmes, and Co-chair of the Faculty Student Success Subcommittee. Her academic credentials include: PhD in Veterinary Medicine from University of Cambridge (2000-2005) MPhil in Biological Anthropology from Durham University (1997-1999) BA (Hons) in Anthropology from Durham University (1993-1996) Hill's research program centers on scientific assessments of animal welfare, particularly for zoo- and sanctuary-housed wild animals, and behavioral adaptations across various taxa. With substantial focus on non-human primates (especially great apes), her work bridges theoretical understanding with practical applications for improving welfare standards in zoological collections. She teaches across multiple biological sciences degree programmes with emphasis on animal welfare and ethics, conservation, research methods, and behavioral science. Her publication history reveals a significant research trajectory shift from operations research and mathematical optimization (1985-2003) to animal welfare science (2009-present). Recent publications demonstrate methodological sophistication in studying zoo animal behavior, with particular expertise in primate welfare assessment, abnormal behaviors like regurgitation and reingestion, and evaluating visitor effects on animal welfare. This evolution reflects integration of her practical zoo experience with academic rigor. Sonya actively supervises postgraduate research students and contributes significantly to academic administration within the School of Natural Sciences. Her work exemplifies the translation of scientific findings into practical zoo management strategies that enhance animal welfare while supporting conservation objectives.

• Data center networking
• Optical circuit switching
• Distributed systems
• +3 more

Paolo Costa is a Senior Principal Research Manager at Microsoft Research Cambridge and Honorary Lecturer at Imperial College London. His research bridges distributed systems and networking with focus on optical technologies for next-generation data centers. Key innovations include Sirius nanosecond optical switching architecture, soliton microcomb-based circuit switching, and PANAMA in-network aggregation for machine learning clusters. Research explores programmable switches, hardware acceleration, and AI infrastructure optimization. Projects include 'CamCube' and 'Predictable Datacenters' enhancing application-network integration. Recent publications examine memory systems for AI, stateful in-network computing, and lite-GPU clusters for scalable AI infrastructure.

Stefano SalsanoView profile

Assistant Professor

• Networking
• Telecommunications
• 5G Networks
• +7 more

Stefano Salsano is an Assistant Professor at the Department of Electronic Engineering at the University of Rome Tor Vergata since 2000. He holds a Laurea degree (1994) and PhD (1998) from the University of Rome. His research focuses on advanced networking technologies including Information-Centric Networking, SDN, Segment Routing (SRv6), 5G, and Network Function Virtualization (NFV). He has contributed to numerous EU-funded projects (e.g., INSIGNIA, ELISA, AQUILA) and led research in telecommunications at CoRiTeL until 2000. His work emphasizes scalable network architectures, performance measurement, and programmable data planes. Key projects include the OFELIA testbed, SRv6 implementation, and contributions to standards like RFC 9779. He has authored over 100 publications with an h-index of 17, addressing topics such as network programmability, cloud-native solutions, and hybrid SDN/IP systems. Research highlights include developing the DIDA framework for distributed machine learning, optimizing SRv6 for SD-WANs, and exploring 5G Superfluid Networks for dynamic service deployment. Collaborations include CNIT, Netgroup, and initiatives like the GEANT SDX project.

• Network Virtualization
• Software-Defined Networking (SDN)
• Context-Aware Systems
• +4 more

Ahmed Karmouch is a Professor at the University of Ottawa, Canada, affiliated with the College of Engineering and Computer Science. His research focuses on Network Virtualization , Software-Defined Networking (SDN) , and Context-Aware Systems , with significant contributions to Cloud Computing Resource Allocation , Programmable Data-Planes , and Overlay Networks . He has co-authored over 161 publications since 1980, emphasizing scalable infrastructure management, QoS optimization, and autonomic network design. His recent work includes machine learning integration in P4-programmable networks (2024) and survivable IaaS management with SDN (2021). Publications span IEEE Transactions and ACM journals, with frequent collaborations with Nancy Samaan, Abdallah Jarray, and Hamid Harroud. Key research themes: Network Programmability Service Specific Overlay Networks Autonomic Network Management ML for Traffic Optimization Geographically Distributed Cloud

• Networking
• Edge Computing
• 5G/6G Technologies
• +5 more

Dr. Giang T. Nguyen is an academic researcher affiliated with Dresden University of Technology (Germany), specializing in advanced networking technologies. His primary affiliation is with the College of Computer Science and the Department of Networking and Communication Systems. He collaborates extensively with Prof. Frank H. P. Fitzek and other researchers on cutting-edge projects. Research Interests: Giang's work focuses on Network Functions Virtualization (NFV) , Edge Computing , Time-Sensitive Networking (TSN) , 5G/6G Technologies , and In-Network Computing (COIN) . He explores applications in industrial automation, tactile internet, and immersive media delivery, with a strong emphasis on latency reduction and network reliability. Publications: His recent work includes advancements in programmable network coding, TSN testbed development, and latency-optimized architectures for XR and IoT systems. Over 100+ publications since 2013 reflect his contributions to edge computing frameworks, network simulation tools (e.g., ns-3, OMNeT++), and collaborative SLAM systems. Key Projects: He leads initiatives like the TSN-FlexTest measurement testbed and the NET Playground heterogeneous network lab. His research bridges theoretical networking concepts with practical implementations in industrial robotics and emergency response systems.

Laurent VanbeverView profile

Associate Professor

• Network Programmability
• Internet Routing
• Network Verification
• +5 more

Laurent Vanbever is an Associate Professor at ETH Zürich and heads the Networked Systems Group (NSG). He specializes in network programmability, Internet routing, and network security, aiming to make networks more performant and manageable. Previously, he held a postdoctoral position at Princeton University and earned his PhD from the University of Louvain. Education: PhD in Computer Science, University of Louvain (2012) Postdoctoral Researcher, Princeton University (2012–2014) MSc in Computer Science, University of Louvain (2008) MSc in Management, Solvay Brussels School (2010) Research Interests: His work bridges theory and practice, focusing on network programmability, routing protocols, and sustainable networking. Recent projects include NetFabric, an ETH spin-off for network observability, and studies on energy-efficient router design (e.g., Fantastic Joules ) and BGP reconfiguration ( Taming the transient ). Key contributions include xBGP, Magnifier, and SP-PIFO. Awards: Best Paper Award at HotCarbon '24 SIGCOMM 2015 Best Paper Award Multiple IETF/IRTF Applied Networking Research Prizes Advising and Labs: Supervises PhD students (e.g., Benjamin, Weiran) and manages the NSG lab. Collaborates with NetFabric, offering student projects in network observability and sustainability. Labs & Teams: Leads the NSG and co-founded NetFabric, focusing on next-gen network observability using AI. Active in teaching Communication Networks and Advanced Topics in Communication Networks .

Filip HolikView profile

Researcher

• Software-defined Networking
• Cybersecurity
• Programmable Dataplane
• +3 more

Dr. Filip Holik is a Researcher at the University of Glasgow's School of Computing Science, focusing on programmable networks for critical infrastructure cybersecurity. He holds a PhD in Electrical Engineering and Informatics from the University of Pardubice (Czechia), specializing in OpenFlow-based SDN and IoT security. Previously, he worked at the Norwegian University of Science and Technology (NTNU), where he developed digital substation simulators for cybersecurity training. He maintains an external associate professor role at NTNU and teaches cybersecurity courses for business professionals in Oslo. Education: PhD in Electrical Engineering and Informatics, University of Pardubice (Czechia) Research Interests: Software-defined networking (SDN) Programmable network architectures Cybersecurity in smart grids and OT systems eBPF-based programmability and resilience Recent Work Trends: Holik's 2025 publications emphasize eBPF-based solutions for enhancing digital resilience in operational technology (OT) networks, focusing on programmable dataplanes, centralized orchestration, and dashboard-driven network management. Awards: None listed. Advising & Grants: No students listed. Active in collaborative research projects involving eBPF and critical infrastructure security. Labs/Teams: Member of Netlab (Networked Systems Research Laboratory) at the University of Glasgow.

Sandra Scott-HaywardView profile

Senior Lecturer

• Network Security
• Software-Defined Networking (SDN)
• Network Functions Virtualization (NFV)
• +5 more

Dr. Sandra Scott-Hayward is a Senior Lecturer at Queen's University Belfast's School of Electronics, Electrical Engineering and Computer Science. She is Director of the QUB Academic Centre of Excellence in Cyber Security Education (ACE-CSE) and contributes to the Institute of Electronics, Communications & Information Technology. Her research focuses on SDN/NFV security, predictive analytics, network monitoring, and edge-based security. She leads projects like AIDE_NICYBER2025 and LINAS, emphasizing AI-driven solutions and secure infrastructure. Awards include the IEEE NFV-SDN Best Paper Award (2019) and Outstanding Leadership (2016). She actively advises on cybersecurity policy, collaborates internationally, and engages in public outreach through events like Belfast Pride and CyberFirst initiatives. Research interests span programmable network security, AI/ML in cyberdefenses, and secure non-terrestrial networks. Her work aligns with UN SDGs for sustainable infrastructure (Goal 9) and responsible innovation (Goal 9/17). Projects include mitigating O-RAN misconfigurations and enhancing 6G O-RAN QoS via deep reinforcement learning. She supervises PhD students in SDNFV security and advises on global cybersecurity frameworks. Recent articles address DDoS mitigation, secure data planes, and immersive cybersecurity training. Grants include £4.35M funding for R&D in AI-driven cybersecurity. Activities include speaking at NIST forums and editorial roles in journals like IEEE Transactions on Dependable and Secure Computing.

• Cloud Computing
• Edge Computing
• Network Functions Virtualization
• +12 more

Fulvio Giovanni Ottavio Risso is a Full Professor in the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino, where he is a member of the NETGROUP Computer Networks Research Group and leads research in cloud, edge, and software-defined networking. He is the Scientific Advisor of the European EIT Digital Partnership and serves as a representative for Politecnico di Torino in EIT Digital. He teaches core courses in Computer Engineering, including Cloud Computing Technologies, Enterprise Network Technologies, and Software Networking, and supervises several PhD students in advanced distributed systems. His research focuses on cloud computing, edge computing, network functions virtualization (NFV), software-defined networking (SDN), and high-speed packet processing. He has pioneered work in eBPF-based network functions through the Polycube framework and in computing continuum orchestration via the Liqo project. His interests extend to Kubernetes networking, real-time data plane optimization, and privacy-preserving infrastructure. He has led numerous EU, national, and industry-funded projects, including FLUIDOS (PNRR), NEWTON, RESTART, TOSHI, ASTRID, and NFV@EDGE. His recent work emphasizes liquid computing, borderless data spaces, and secure, scalable network services for 5G/6G. The recent publications reflect a strong trend in edge-to-cloud orchestration, secure and efficient data plane processing, and real-time performance optimization. Key themes include the use of reinforcement learning for scheduling in the computing continuum, Kubernetes-based edge orchestration, eBPF for in-kernel networking, and energy-aware task distribution. Projects like Liqo and Polycube are central to his vision of a programmable, fluid infrastructure. The integration of machine learning, real-time monitoring, and open-source frameworks underscores a commitment to practical, scalable solutions in modern distributed systems. Scientific Awards and Recognitions: No explicit awards listed in the provided text. Advising and Grants: Fulvio Risso supervises multiple PhD students including Attilio Oliva, Daniele Cacciabue, Davide Miola, Jacopo Marino, Stefano Galantino, Carlos Mateo Risma Carletti, and Federico Parola, whose research spans cloud-edge continuum, vehicular micro-clouds, and Kubernetes networking. He has led over 30 competitive and commercial research projects, including EU-funded initiatives (H2020, EIT), national PRIN projects, PNRR missions, and industry contracts with Rakuten Mobile. These grants focus on network programmability, edge computing, 5G/6G observability, anomaly detection, and secure orchestration, reflecting strong industry-academia collaboration. Labs and Research Groups: He is a key member of the NETGROUP - Computer Networks Group (DAUIN) and leads research activities in LAB 9 - Research Laboratory (DAUIN). He is also associated with the Interdepartmental Center PIC4SeR - PoliTO Interdepartmental Center for Service Robotics. His work is deeply integrated with open-source development, particularly through Liqo and Polycube, which are actively used in both research and industrial deployments.

Oliver HohlfeldView profile

Professor

• Network Security
• Network Measurements
• Internet Architecture
• +3 more

Oliver Hohlfeld is a Professor at the University of Kassel where he leads the Distributed Systems Group . Prior academic appointments include professorships at Brandenburg University of Technology (heading the Computer Networks group) and RWTH Aachen University , with earlier work at TU Berlin/Deutsche Telekom Innovation Laboratories . He has served as visiting scholar at University of Wisconsin-Madison (Paul Barford's group) and holds a Dr. rer. nat. in Computer Science (2013) from TU Berlin under advisor Anja Feldmann. B.Sc. and M.Sc. in Computer Science from Darmstadt University of Applied Sciences, Institute Eurecom, and Darmstadt University of Technology Former Fraunhofer IGD researcher (2004-2006) working on telemedical network architectures His research interests focus on data-driven analysis of internet performance and security through empirical network measurement, psychological user studies, and machine learning. Key areas include DDoS defense mechanisms, TLS deployment analysis, social media interaction patterns, caching strategies, and internet protocol evaluation (HTTP/2, QUIC, BGP). Recent work examines cross-border information control circumvention through unconventional user reviews. Oliver has served on technical program committees for 25+ conferences including SIGCOMM'24 , NSDI'25 , and IMC'24 . His scientific leadership includes: 2022 IETF/IRTF Applied Networking Research Prize 2020 ACM Senior Member status 2018-2021 conference co-chair roles He leads major research projects : AIDOS: AI-based DDoS Mitigation at DE-CIX Internet Exchange (BMBF funded) DFG SFB 1053 MAKI: Multi-Mechanism Internet Adaptation (2017-2020) EU Horizon 2020 SSICLOPS: Secure Cloud Operations Internet Observatory Initiative

Navid NikaeinView profile

Professor

• Wireless Networking
• 5G/6G Technologies
• Mobile Communications
• +6 more

Navid Nikaein is a Professor at EURECOM's Communication Systems department, specializing in wireless networking and 5G/6G technologies. His research focuses on advanced protocols, network slicing, and large-scale emulation using the OpenAirInterface framework. He teaches graduate courses on ad hoc networking and mobile applications development. Research Interests : Uplink channel access for mixed traffic in LTE/LTE-A systems Scheduling schemes for cellular and ad hoc networks Hardware/software co-design for wireless emulation Network slicing and runtime systems for RAN flexibility Awards : Best-in-Session Presentation Award at INFOCOM 2016 Best Paper Award at Mobile Ad-Hoc Networks for Public Safety (2011) Key Projects : OpenAirInterface.org: Open-source LTE/5G platform FlexRAN: SD-RAN programmability framework Advising & Grants : Active in technical program committees for IEEE conferences and leads EU-funded research initiatives on 5G/6G architecture. Collaborates on projects like Mosaic5G and SliceNet for network slicing innovation. Labs/Teams : Leads the Communication Systems research group at EURECOM, focusing on prototyping next-gen wireless systems through open-source collaboration.

• Network Optimization
• Combinatorial Optimization
• Logistics
• +3 more

Francesca Guerriero is Full Professor of Operations Research at the Department of Mechanical, Energy and Management Engineering , University of Calabria, Italy. She serves as Dean since 2021, Vice President of AIRO (Italian Operations Research Society), and Director of the LOGICA Laboratory. PhD in Systems Engineering and Informatics, University of Calabria (1997) Graduate in Management Engineering (1993), summa cum laude Her research spans Network Optimization , Combinatorial Optimization , Logistics , Revenue Management , and Big Data Optimization , with focus on large-scale problems in transportation, energy, and healthcare. Recent publications highlight integration of quantum computing and deep reinforcement learning in logistics. She supervises PhD projects on topics like Green Logistics , Distributed Optimization , and Smart City Applications , collaborating with institutions like MIT and Amazon. Her work includes EU/Italian Ministry-funded projects on Smart Cities , Healthcare Systems , and Biomedical Applications .

• Computer Networks
• Software Defined Networking
• Edge Computing
• +12 more

José André Rocha Sá Moura is an Assistant Professor at ISCTE - Instituto Universitário de Lisboa, affiliated with the Department of Information Science and Technology (ISTA). He is also an Integrated Researcher at the Institute of Telecommunications – IUL, where he contributes to the Radio Systems Group in Lisbon. His academic and research work is centered on advanced networking technologies and systems. PhD in Computer Science, Lancaster University, 2011 Master's in Electrical and Computer Engineering, University of Porto, 2001 Bachelor's in Electrical Engineering and Telecommunications, University of Aveiro, 1989 His research interests include software-defined networking (SDN), edge and fog computing, network management, game theory, optimization, resource virtualization, and the resilience of networked systems. He explores intelligent access to heterogeneous wireless networks and the integration of cloud and big data technologies in modern network infrastructures. His work bridges theoretical models with practical implementations in next-generation networks. The most recent publications highlight a strong trend in decentralized network control, autonomous management using AI/ML, resilience in edge systems, and efficient resource provisioning for IoT and multimedia services. His work frequently applies SDN and game theory to solve complex networking challenges in dynamic and heterogeneous environments. Scientific Awards and Recognitions: No specific awards mentioned in the provided text. Academic Supervision and Research Contributions: José Moura has supervised 1 PhD (as co-supervisor) and 10 MSc theses, covering topics such as SDN-based intrusion detection, multi-access management, fog computing, and IoT architectures. He has been involved in research projects including ImpAr, NEUF, and SAAS. He serves as a reviewer for journals like IEEE Transactions on Vehicular Technology and conferences such as ConfTele. His research aligns with UN Sustainable Development Goals related to innovation and infrastructure. Labs and Research Teams: He is an active member of the Radio Systems Group at IT – Lisboa, focusing on wireless technologies and networked systems. His work is embedded in the broader ecosystem of the Institute of Telecommunications, a leading R&D unit in Portugal.

Jean Pierre DavidView profile

Professor

• Digital Signal Processing
• Distributed and Concurrent Processing
• Computer Architecture and Design
• +6 more

Jean Pierre David is a Full Professor in the Department of Electrical Engineering at Polytechnique Montréal. He has been with the institution since January 2006, was promoted to Associate Professor in June 2013, and became a Full Professor in June 2021. His research focuses on digital systems design, reconfigurable systems, and hardware implementations of artificial intelligence applications. David received his Electrical Engineering degree (specializing in electronics) from the University of Liège (Belgium) in 1995. He completed his Ph.D. in June 2002 at the Catholic University of Louvain, with research focused on reconfigurable systems (FPGAs). Before joining Polytechnique Montréal, he was a professor at the University of Montreal from August 2002 to January 2006. Jean Pierre David's research spans several key areas in electrical engineering and computer science. His primary focus is on digital systems design, configuration, and programming, with particular expertise in reconfigurable systems such as FPGAs and microcontrollers. He has made significant contributions to Hardware Description Languages (HDL), developing methodologies for fast, safe, and simple design of digital architectures. His work extends to Hardware-in-the-Loop (HIL) simulation, Deep Packet Inspection (DPI) for high-speed communications (10GBE, 40GBE, 100GBE), and applications of digital systems in artificial intelligence, particularly neural network implementations. David's recent research has increasingly focused on energy-efficient AI hardware, RISC-V processor design for neural network acceleration, and specialized architectures for low-precision computation. His publication record shows a clear evolution from foundational work in digital system design and FPGA implementation toward increasingly sophisticated applications in artificial intelligence and neural network acceleration. The most recent publications demonstrate expertise in creating specialized hardware for efficient AI computation, with a strong emphasis on low-precision and binary neural networks that can run efficiently on resource-constrained devices. His work bridges computer architecture, electrical engineering, and artificial intelligence, creating practical hardware solutions for emerging computational challenges. David is affiliated with several important research groups and institutions including the Strategic Microsystems Group of Quebec (ReSMiQ), the Institute of Electrical and Electronics Engineers (IEEE), and the Institute for Data Valorization (IVADO). His work has been recognized through numerous publications in high-impact journals and conferences, with a total of 108 publications to his name. Professor David has supervised an impressive number of graduate students throughout his career, mentoring 9 Ph.D. students and 24 Master's students to completion. His students have worked on diverse topics including FPGA-based neural network acceleration, hardware implementations of deep learning algorithms, energy harvesting systems for IoT devices, and specialized architectures for low-precision computation. His lab appears to maintain strong connections with industry through various research projects and collaborations with researchers like Yves Savaria. His research laboratory focuses on the intersection of hardware design and artificial intelligence, with particular emphasis on creating efficient implementations of neural networks on specialized hardware platforms. The lab maintains strong connections with industry partners and collaborates extensively on projects related to network processing, AI acceleration, and energy-efficient computing systems.

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

Fernando Ramos is an Associate Professor at the Higher Technical Institute (University of Lisbon) in the Department of Computer Engineering . His work focuses on Software-Defined Networking (SDN) , Network Security , and Machine Learning applications in networking . Teaches courses: Master's Dissertation in Telecommunications and Computer Engineering Introduction to Computer Architecture Computer Organization Advanced Topics in Networks and Distributed Systems Ramos is actively involved in research on malicious traffic detection , network virtualization , and fault-tolerant systems . Recent projects include Peregrine (ML-based security) and FlowLens (efficient traffic classification). His publications highlight trends in programmable data planes , multi-cloud security , and energy-efficient networking , with notable work on Random Linear Network Coding and Secure Network Monitoring .