William Hallahan is an Assistant Professor in the School of Computing at Binghamton University. He joined the faculty in August 2022 following his PhD in Computer Science from Yale University (May 2022), where he was advised by Ruzica Piskac. His research focuses on formal methods, functional languages, and network systems, with an emphasis on techniques that simplify code verification and automated reasoning. Education: PhD in Computer Science, Yale University, 2022 BA in Mathematics and Computer Science, College of the Holy Cross Research interests include: Program verification for functional languages Automated debugging and repair systems Network system verification (firewalls, P4 programs) Control plane synthesis for programmable networks Publications highlight contributions to symbolic execution, firewall repair, and P4 verification frameworks. Current research emphasizes developing practical formal techniques to reduce programmer error and improve code reliability. He maintains an active research group with multiple funded PhD positions available starting Spring 2023.
Andrea Detti is a Professor at the Department of Electronic Engineering, University of Rome Tor Vergata. His research focuses on computer networks, particularly Information-Centric Networking (ICN), Cloud Computing, and Software Defined Networks (SDN). He has coordinated major EU projects like Fed4IoT and BONVOYAGE, addressing IoT and Intelligent Transport Systems. He serves as Associate Editor for IEEE Transaction on Network and Service Management and has guest-edited special issues on ICN. His teaching includes courses on Internet Technologies, Mobile Wireless Networks, and Cloud Computing, emphasizing hands-on labs with Linux, Cisco routers, and OpenStack. Key projects include leadership roles in EU initiatives such as ICN2020, GreenICN (energy-efficient ICN), and OFELIA (ICN over SDN). He coordinates industrial projects with Telecom Italia and SSI/Finmeccanica on publish-subscribe paradigms in MANET and DTN. His research spans ICN scalability, adaptive video streaming, and satellite communication optimizations. Publications (80+) cover ICN architecture, SDN integration, and network performance modeling. He actively participates in conferences and standardization efforts, contributing to the evolution of future Internet architectures.
Thomas Erich Zinner is Professor at the Department of Information Security and Communication Technology, Norwegian University of Science and Technology (NTNU), a position held since August 2019. Previously, he served as visiting professor and head of the FG INET research group at TU Berlin, and led the 'Next Generation Networks' research group at the University of Würzburg's Communication Networks chair. His educational background includes a diploma (2006) and Ph.D. (2012), both from the University of Würzburg. His research spans network architecture performance evaluation with emphasis on SDN/NFV and QoE-centric management approaches for emerging networks. Zinner's recent publications reveal strong trends toward intelligent 6G architectures integrating AI in the user plane, QoE-aware 5G resource allocation, and autonomic management of softwarized networks. His work combines theoretical modeling, simulation frameworks like OMNeT++, and practical implementations focused on real-world applicability in beyond-5G systems. He leads the Networking Research Group at NTNU working on the TeraFlow project, developing secure cloud-native SDN controllers for autonomic traffic management at massive scale. This initiative addresses critical challenges in next-generation network infrastructure through innovative controller architectures and flow management techniques.
Dr. Nancy Samaan is an Associate Professor at the School of Electrical Engineering and Computer Science, University of Ottawa. She holds a Ph.D. in Computer Science from the University of Ottawa (2007), along with B.Sc. and M.Sc. degrees in Computer Science from Alexandria University, Egypt (1998 and 2001). Her research focuses on wireless communication, QoS in networks, autonomic networks, and policy-based management, with over 20 publications in refereed journals and conferences. Key achievements include the 2008 NSERC University Faculty Award and recognition for her 2006 paper highlighted in IEEE Wireless Communication magazine. She is an active IEEE member and contributes to advancing network management through innovative solutions like programmable data-plane architectures and machine learning integration. Her recent work emphasizes machine learning applications in networking, programmable data planes, and QoS optimization, reflecting a trend toward intelligent and adaptive network systems. Despite no explicitly listed grants or labs, her publications indicate significant contributions to network autonomy and resource management in dynamic environments.
Dr. Faycal Bouhafs is a Senior Lecturer at the School of Systems & Computing , UNSW Canberra . His research focuses on performance and reliability in wireless communication networks, with expertise in programmable networks, 5G/6G architectures, and IoT security. He leads initiatives in radio resource optimization and physical-layer security using software-defined approaches. Research Interests: Dr. Bouhafs investigates: Programmable wireless networks for dynamic resource allocation Beyond 5G/6G infrastructures supporting massive IoT deployments Security frameworks for cyber-physical systems and IoT ecosystems AI-driven optimization of radio access and network management Publication Focus: Recent works (2020-2025) demonstrate strong emphasis on: Software-defined wireless networking (SDWN) for spectrum sharing Physical-layer security via jamming and deep learning 6G resource optimization and IoT scalability Practical implementations using off-the-shelf equipment
Dr. Chaminda Hewage serves as Interim Associate Dean for Research and Reader (Associate Professor) in the Cardiff School of Technologies at Cardiff Metropolitan University. He leads the Computer Security Programme and holds a Ph.D. in Multimedia Communications from the University of Surrey (2009) and a B.Sc. in Electrical and Information Engineering from the University of Ruhuna (Sri Lanka). His research focuses on cybersecurity, data protection in AI/ML systems, blockchain applications, and multimedia communication security. He has authored over 50 peer-reviewed publications and edited major books on emerging technologies' privacy challenges. Education Background: B.Sc. (Hons) Electrical & Information Engineering, University of Ruhuna (2004) Ph.D. in Multimedia Communications, University of Surrey (2009) Postgraduate Certificate in HE Teaching & Learning, Kingston University (2014) Research Interests: Data protection mechanisms in AI/ML Cybersecurity frameworks for Industry 4.0 Blockchain for public and private sector applications Metaverse privacy and security Edge AI and embedded system security Regulatory compliance in digital transformation Recent Contributions: Co-edited the 2024 Springer volume Data Protection: The Wake of AI and Machine Learning , published influential works on Kubernetes security, V2X communication cryptography, and metaverse privacy. Active in international conferences including C3AI and ICCS. Awards & Recognition: Gold Medal for Academic Excellence (2004), University of Ruhuna ORS Scholarship (2005), HEFCE Fellow of the Higher Education Academy Grants & Collaborations: Leads research projects on cybersecurity for SMEs, smart city infrastructure, and digital transformation. Engages with industry partners through Cardiff Met's innovation networks. Advises on UK government cyber policy initiatives. Labs/Teams: Oversees the Cybersecurity Research Group and collaborates with the ZERO2FIVE Food Industry Centre for IoT applications. Active in multidisciplinary teams addressing Industry 5.0 challenges.
Géza Szabó is a Researcher at Ericsson Research in Budapest, Hungary. His work focuses on advanced networking solutions for industrial and robotic systems, particularly in 5G/6G integration, network resource management, and AI-driven automation. He has extensively contributed to optimizing wireless resource allocation in industrial IoT environments and enhancing network performance through programmable data planes. Key areas: Network Co-Design, Industrial Automation, Reinforcement Learning Notable collaborations: József Peto, Sándor Rácz, Rafael Antonello His research bridges theoretical advancements with practical implementations, addressing challenges in real-time systems and quality-of-control (QoC) for cyber-physical processes. He has pioneered solutions for multipath channel switching in ROS2 and 3GPP frameworks, and developed adaptive traffic reduction techniques using SDN/NFV architectures. Recent work includes the FATHER project (Factory on the Road) exploring agile industrial production cells and the application of digital twins for network-physical system synchronization. His publications span top venues like IEEE Access, GLOBECOM, and ICC, reflecting his deep engagement with both academic and industry-relevant networking challenges.
Garegin Grigoryan is an Assistant Professor at Alfred University 's School of Mathematics & Computer Science, focusing on Computer Networking , Network Security , and Software-Defined Networking (SDN) . His research emphasizes programmable data planes , energy-aware routing , and IoT security , with active engagement in IEEE and ACM conferences. Education : PhD in Computer Science from Rochester Institute of Technology (2020) Recent publications highlight data center optimization , forwarding table verification , and IoT security frameworks , reflecting his expertise in SDN and network programmability. Grigoryan also holds patents in network virtualization and RDMA optimization. He contributes to the academic community as a reviewer for journals like IEEE/ACM Transactions on Networking and participates in conferences such as IEEE HPSR and ACM HPDC . His work bridges theoretical advancements with practical implementations in networking and cybersecurity.
Alessio Sacco is a Fixed-term Assistant Professor at the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino, Italy. He's affiliated with the NETGROUP - Computer Networks Group and actively contributes to research in computer networks, machine learning, and software-defined networking. Current academic position: Assistant Professor Research group: NETGROUP Key collaborations: Guido Marchetto, Flavio Esposito Research Interests focus on: Computer networks and communications Dynamic programming and reinforcement learning Machine learning applications in network management Software-defined networks Cybersecurity and privacy analysis Intelligent Internet of Things systems Recent Publications demonstrate expertise across: Network security verification (PathSafe) AI-driven agricultural optimization (FertilizeSmart) Cross-layer congestion control (Flecto) Reinforcement learning for computing continuum scheduling Explainable AI for network transparency (ClearNET) Multi-agent exploration systems (MARS) Scientific Contributions include: Commercial research on network security and anomaly detection ERC sector expertise in distributed systems and machine learning Teaching in computer engineering programs since 2019 Advising involves: Supervising Federico Rinaudi (ongoing) Co-supervising Doriana Monaco (ongoing)
Ashwin Rao is an Adjunct Professor and Docent in the Department of Computer Science at the University of Helsinki, serving as Supervisor for the Doctoral Programme in Computer Science and Research Coordinator. His work bridges theoretical research with practical implementations in next-generation networked systems. Research Interests: Networking Distributed Systems Mobile Computing Privacy Edge Computing Serverless Computing His research focuses on 5G/6G architectures, edge intelligence, and privacy-preserving mobile systems, with emphasis on real-world applicability and performance optimization in resource-constrained environments. Publication Trends: Analysis of his 15 most recent publications (2020-2024) reveals three dominant trajectories: (1) serverless/database co-design for cloud-native systems, (2) AI-driven network operations and traffic classification, and (3) privacy/security in mobile ecosystems. His work increasingly integrates machine learning with network protocols while addressing critical industry challenges in 6G and edge computing. Scientific Awards: No major scientific awards mentioned in source materials Advising and Grants: Supervised 16 Master's theses including AUTOPS (2025) and Open RAN pipeline analysis (2024) Project lead: 6G Data-driven Distributed Cloud System (Business Finland, 2023-2025) Key participant: NordForsk Tarkoma project (2024-2028) Organizing committee member for ACM Mobisys 2023 Research Ecosystem: Rao operates within Helsinki's networking research group, collaborating with S. Tarkoma and R. Morabito on 6G initiatives. His team focuses on practical implementations of programmable networks, edge intelligence, and privacy-preserving mobile systems through industry-academia partnerships.
Mohammad Fotouhi is a Lecturer in Materials and Structures at the James Watt School of Engineering, University of Glasgow, where he joined in September 2019. Prior to his current position, he served as a lecturer at the University of the West of England and led the Hybrid Composites developments in the HiPerDuCT programme (EP/I02946X/1, £6.41m) as a postdoctoral researcher at the University of Bristol. Dr. Fotouhi earned his honored MSc (September 2011) and PhD (December 2015) in mechanical engineering with a focus on manufacturing and production. Both his graduate theses centered on acoustic emission-based damage monitoring of composites and were recognized for their quality in a university-wide assessment. His research expertise spans composites design, manufacturing, and structural integrity. Dr. Fotouhi's current work focuses on generative design, lightweight and smart bio-inspired composites, 4D printed self-morphing structures, and multi-functional materials. He has pioneered innovations in high-performance composite T-joints, pseudo-ductile and notch-insensitive composites, and novel damage detection methodologies. His work bridges fundamental materials science with practical engineering applications, particularly in structural health monitoring systems that can autonomously detect and report damage in composite structures. Analysis of Dr. Fotouhi's recent publications reveals a strong emphasis on structural health monitoring technologies for composite materials. His work integrates multiple approaches including mechanochromic materials that change color when damaged, bio-inspired sensor technologies, acoustic emission monitoring, and machine learning algorithms for damage detection. A significant portion of his research focuses on 'barely visible impact damage' - a critical challenge in composite structures where damage may not be apparent to the naked eye but significantly compromises structural integrity. His work consistently demonstrates the application of advanced manufacturing techniques to create smarter, more reliable composite structures. Member of editorial board: Journal of Composites Science Member of editorial board: Composite Materials: Science publishing group Member of editorial board: SVOA Materials Science & Technology Member of editorial board: Journal of Engineering and Technology Guest editor: Polymers Session chair at international conferences (ICCS and ECCM) Dr. Fotouhi has secured over £450,000 in competitive research funding as Principal Investigator for his innovative work in composite materials. His research program involves collaborations with multiple institutions and industry partners, particularly in the development of next-generation composite monitoring systems. Before entering academia, he gained three years of industrial R&D experience in reverse engineering, manufacturing, CAD/CAM, and material analysis, which informs his practical approach to research problems. His laboratory work focuses on developing and testing novel composite structures with integrated sensing capabilities, particularly using thin-ply hybrid composites and mechanochromic materials. His team works at the intersection of materials science, structural engineering, and sensor technology to create composite systems that can not only withstand operational stresses but also report their own health status in real time.
Dr. Yiming Qiu is an Assistant Professor at the Department of Computer Science , University of Hong Kong (HKU). Prior to joining HKU, he worked as a Postdoctoral Researcher co-hosted by Prof. Ang Chen at the University of Michigan CSE and Prof. Sylvia Ratnasamy at UC Berkeley EECS. He earned his PhD in Computer Science and Engineering from the University of Michigan, following a three-year PhD journey at Rice University and BS studies at Beijing University of Posts and Telecommunications (BUPT). Current Role: Assistant Professor, University of Hong Kong Postdoctoral Affiliation: University of Michigan CSE, UC Berkeley EECS Education: PhD (University of Michigan), BS (BUPT) Dr. Qiu's research focuses on systems, networking, and security , with a specific emphasis on applying program analysis , formal reasoning , and machine learning techniques to advance cloud automation and datacenter networks . His work bridges theoretical rigor with practical applications in network function offloading, programmable switches, and AI-driven cloud management. Dr. Qiu's recent publications (2025-2020) highlight trends in cloud infrastructure management, AI agents for scientific experimentation, SmartNIC offloading, and formal methods for network security. Key contributions include best paper awards and frameworks for runtime programmable networks. Scientific Awards: Best Paper Award at APNet 2025 Service: Journal reviewer (IEEE/ACM Transactions on Networking, Computer Networks, IEEE JSAC), Conference reviewer (ASPLOS, APSys, WWW, P4 Workshop), NSF Innovation Corps Entrepreneur lead Teaching: Teaching Assistant for Secure and Cloud Computing (Rice COMP 436/536, 2020-2021)
Theo Gevers is a Professor of Computer Vision at the University of Amsterdam , leading the Computer Vision Research Group and co-directing public-private labs Atlas Lab (UvA-TomTom) and Delta Lab (UvA-Bosch) . He co-founded successful spin-offs 3DUniversum and Sightcorp (sold in 2022). His research focuses on Computer Vision , Deep Learning , and 3D Reconstruction , with societal impacts in deepfake detection through software like DeepFact and grief therapy applications . He has secured major grants including VICI (1.5 MEuro) , NWO grants (1.3 MEuro, 1.1 MEuro) , and Eurostars Programme (1 MEuro) . His 15 most recent articles emphasize 3D scene reconstruction using Gaussian splatting , intrinsic image decomposition , and LiDAR-based segmentation , with applications in urban planning , autonomous vehicles , and diffusion models . Scientific Awards : VICI Laureate (NWO) Blue Tulip Awards for DeepFact Software Advising & Grants : Supervised 20+ PhD students, secured 10+ major grants totaling >5 MEuro, including FlexCRAFT and Efficient Deep Learning . Collaborated with TomTom , Bosch , Raydiant , and Eurostars Programme . Labs & Teams : Director of Computer Vision Lab , co-director of Atlas Lab and Delta Lab . Leads teams like BBQ 2025 , Delta Lab 2025 , and 3DUniversum 2025 Product Team .
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 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.
