Find Academic Supervisors

• Computer Networks
• Cybersecurity
• Digital Resilience
• +5 more

Professor Dimitrios Pezaros is a full Professor of Computer Networks and holds the Royal Academy of Engineering Research Chair in Digital Resilience for Critical National Infrastructure at the University of Glasgow's School of Computing Science. He leads the Networked Systems Research Laboratory (Netlab) and directs the Glasgow Cyberdefence Lab. His roles include former Head of the Glasgow Systems Section (GLASS) and visiting professor at the University of Athens. Education: BSc (Hons) and PhD in Computer Science from Lancaster University Doctoral fellow of Agilent Technologies Inc. (2000–2004) Research Interests: Focuses on network and service management, digital resilience of critical infrastructures, and next-generation networking technologies like NFV and SDN. His work emphasizes cybersecurity for industrial systems, programmable networks, and edge computing. Grants & Funding: Secured major grants from EPSRC, EC, Dstl, RAEng, and industry partners (BT, EDF, NXP). Currently serves on the EPSRC Digital Security and Resilience Strategic Advisory Team. Labs & Teams: Leads Netlab and Glasgow Cyber Defence Lab, advancing research in programmable network architectures, OT security, and resilience engineering. Active in industry partnerships for applied research.

Awais Aziz ShahView profile

Lecturer

• Software-Defined Networks (SDN)
• Network Function Virtualisation (NFV)
• Internet-of-Space Things
• +5 more

Dr. Awais Aziz Shah is a Lecturer in the School of Computing Science at the University of Glasgow, affiliated with the Glasgow Systems Section (GLASS) and Netlab (Networked Systems Research Laboratory). His research focuses on Software-Defined Networks (SDN), Network Function Virtualization (NFV), and resilient network architectures. He holds a PhD from Politecnico di Bari, Italy, where his thesis involved SDN-based frameworks for VNF orchestration in optical networks. He has collaborated with industry partners like SMOptics and Experis, and worked as a Research Fellow on Scotland’s 5G testbed projects. His research interests span container networking, edge computing, anomaly detection, and cybersecurity. He leads projects like COCOON (Horizon Europe) for power grid cyber protection and ECO-INSIGHT (EPSRC) for sustainability-driven AI systems. He supervises PhD students in areas like NFV orchestration and virtual reality applications. He teaches Advanced Networked Systems, Networks and Operating Systems, and Secured Software Engineering courses. Key grants include ORBICULAR (EPSRC) for satellite image recognition and COCOON for smart grid cybersecurity. His work emphasizes practical solutions for low-latency, energy-efficient networks and resilient systems.

Sanjukta Das SmithView profile

Associate Professor

• AI Ethics
• Cybersecurity Strategy
• Healthcare Informatics
• +3 more

Sanjukta Das Smith is an Associate Professor and Chair of the Department of Management Science and Systems at the School of Management, University at Buffalo. Her research focuses on interdisciplinary areas spanning AI ethics, cybersecurity strategy, healthcare informatics, and cloud computing infrastructure. She holds a PhD and has extensive academic leadership roles. Dr. Smith's work bridges technical systems with organizational impact, examining topics like cross-sector collaboration in healthcare, digital risk management in AI applications, and cloud resource optimization. Her publications demonstrate expertise in network analysis, service-level agreements, and technology adoption frameworks. Her recent research trends emphasize ethical AI integration, cybersecurity governance, and leveraging social media for public health insights. Articles from 2025 highlight explorations into AI competence framing and transitional care coordination for marginalized populations. Earlier work (2015-2018) established foundational studies on cloud computing resource management and health informatics adoption. Professional contributions include frameworks for NFV provisioning, generative AI mental health applications, and C-suite cybersecurity dynamics. Her research has implications for both technical infrastructure design and organizational strategy in digital transformation.

• Computer networks and communications
• Cybersecurity
• Industry 4.0
• +7 more

Guido Marchetto is a Full Professor in the Department of Control and Computer Science (DAUIN) at Politecnico di Torino , where he conducts cutting-edge research in computer networks, cybersecurity, machine learning, and Industry 4.0. He is a member of the NETGROUP - Computer Networks Group , the SmartData@PoliTO interdepartmental center, and leads research at ACS LAB and LABINF . He serves as Deputy Coordinator of the Doctoral College in Computer and Systems Engineering and is the Scientific Advisor for the European Technology Platform for High Performance Computing (ETP4HPC). PhD Students: Federico Rinaudi, Doriana Monaco, Antonino Angi Research Groups: NETGROUP, SmartData@PoliTO Labs: ACS LAB, LABINF His research focuses on intelligent network management, explainable AI for networking, reinforcement learning, federated learning, and softwarized networks. He has led multiple EU and commercial research projects such as MIRANDA and DESIRE , with applications in cybersecurity, edge computing, and digital twins. Marchetto’s recent publications reveal a strong trend toward integrating AI/ML techniques—especially reinforcement learning and language models—into network automation, traffic engineering, and IoT systems. His work bridges theoretical innovation with practical implementation in cloud, edge, and telco environments. Scientific Awards: Best Paper Award Finalist, IEEE HPSR (2014) Best Paper Award, IEEE ICC (2007) He is a Senior Member of IEEE and serves on the editorial board of IEEE Transactions on Vehicular Technology . He has also been a Contract Professor at the Turin Polytechnic University in Tashkent from 2012 to 2022. His extensive grant leadership includes EU Horizon projects and numerous commercial research contracts with a focus on network intelligence and automation. He is actively involved in doctoral education and curriculum development, contributing to multiple degree programs and supervising ongoing PhD research in AI-driven networking and cybersecurity.

• Artificial Intelligence
• Machine Learning
• Network Functions Virtualization (NFV)
• +5 more

Dr. Adeel Rafiq is a Lecturer at the School of Engineering, Computing and Mathematical Sciences, University of Wolverhampton. With a PhD in Computer Engineering from Jeju National University (South Korea) and over a decade of combined academic and industrial experience, he specializes in AI-driven network management, 5G/6G networking, and software-defined infrastructure. Education : PhD (2018-2021), MSc (2012-2014), BSc (2007-2011) Professional Affiliations : Member of Institution of Engineering and Technology (MIET), HEC Pakistan-approved PhD Supervisor, Registered Engineer (Pakistan Engineering Council) His research focuses on cutting-edge advancements in network systems, including Intent-Based Networking , Network Function Virtualization , and Machine Learning for Network Optimization . His work bridges theoretical innovation with practical implementation in 5G/6G, IoT, and cloud environments. Dr. Rafiq's publication record spans high-impact journals like IEEE TNSM and Cluster Computing, as well as key conferences including IEEE BigComp and APNOMS. His contributions include patents in intent-based resource management and network optimization. Scientific Awards : 4 patents (2 granted, 2 under review) focused on SDN/NFV innovations In industry, he has led AI-powered network monitoring systems through Knowledge Transfer Partnerships and contributed to telecom solutions at AdvOSS and Gazuntite Pvt. Ltd. He holds certifications in SAFe Product Management, Docker, Agile, and Machine Learning.

• Cloud Computing
• Distributed Systems
• Network Functions Virtualization (NFV)
• +7 more

Prof. Dr. Thomas Michael Bohnert is a faculty member at ZHAW School of Engineering, specializing in distributed systems and cloud computing. He has led multiple projects including: Bringing FIWARE to the NEXT step (completed), Enterprise Cloud Robotics Platform (completed), Apache Cloudstack for NFV (completed), Solidna cloud storage (completed), T-NOVA NFV services (completed), and Mobile Cloud Network (completed). Research Focus: Cloud robotics Network Functions Virtualization (NFV) Software-Defined Networking (SDN) Mobile cloud networking Resilient cloud systems Energy-efficient cloud platforms Publications Trends: His work spans 2012-2024 with consistent focus on cloud-native application design, NFV orchestration, SDN implementation, and mobile cloud integration. Key themes include self-managing systems, distributed computing frameworks, and infrastructure optimization. Collaborations: Frequently collaborates with Andrew Edmonds, Giovanni Toffetti Carughi, Piyush Harsh, and Sandro Brunner across EU projects and industry partnerships.

Jorge Bernal BernabéView profile

Associate Professor

• Cybersecurity
• Privacy Management
• Trust Management
• +7 more

Jorge Bernal Bernabé is an Associate Professor at the Department of Communications and Information Engineering (DIIC) of the University of Murcia (UMU). He focuses on security, trust, and privacy management in distributed systems , particularly in Internet of Things (IoT), Software-Defined Networking (SDN), Network Function Virtualization (NFV) , and blockchain technologies . His work spans European projects like Resilmesh, RIGOUROUS, ERATOSTHENES, and INSPIRE-5Gplus. His research emphasizes Automated security policy enforcement Privacy-preserving credentials Federated learning for anomaly detection Network slicing for 6G security Cyber situational awareness Scientific awards include Best PhD Thesis Award (2015) AXA Postdoctoral Scholarship (2019) ANECA Associate Professor accreditation (2020) Best Paper Award (2009) He serves on editorial boards for journals like Frontiers in Blockchain (Blockchains Security and Privacy section), Electronics (Networks Section), and Security and Communication Networks . As a program committee member, he co-chaired SecSoft 2025 and organized workshops like ECoSP 2018.

Irene LiotouView profile

Assistant Professor

• Software-Defined Networking (SDN)
• Network Functions Virtualization (NFV)
• Quality of Experience (QoE)
• +3 more

Irene Liotou is an Assistant Professor at the Department of Informatics and Telematics of Harokopio University of Athens. She holds a PhD from the National and Kapodistrian University of Athens (2017), with prior MSc degrees from Imperial College London (2012) and the National and Kapodistrian University of Athens (2011), and a Diploma in Electrical and Computer Engineering from the National Technical University of Athens (2006). Her research focuses on Software-Defined Networking (SDN), Network Functions Virtualization (NFV), Quality of Experience (QoE), and Cooperative, Connected and Automated Mobility (CCAM). She has extensive industry experience as a Senior Software Engineer at Siemens AG and Siemens Enterprise Communications (2007–2011), followed by postdoctoral research (2017–2021) and roles as Project Manager/Senior Researcher at RICCS (2021–2023), including Deputy EU Project Coordinator duties. Education: PhD: National and Kapodistrian University of Athens (2017) MSc: Imperial College London (Communications and Signal Processing, 2012) MSc: National and Kapodistrian University of Athens (Informatics and Telecommunications, 2011) Diploma: National Technical University of Athens (Electrical and Computer Engineering, 2006) Research interests span cutting-edge networking technologies with a focus on QoE, SDN/NFV implementations, and vehicular communications. Recent publications analyze cache-enabled video streaming, AI-native vehicular systems, and 5G edge-computing applications for automotive systems. She has participated in over 20 European/national projects and COST actions, demonstrating expertise in collaborative EU research coordination. Grants and Projects: Extensive involvement in EU-funded initiatives, including roles as Deputy Coordinator and Senior Researcher in multi-institutional collaborations. Specific projects include the 5G-IANA platform integrating ML and edge resources for automotive applications. Labs/Teams: Affiliated with Harokopio University's research groups focused on advanced networking technologies. Previously part of the Communication Networks Laboratory at NKUA and RICCS teams.

Pu WangView profile

Associate Professor

• Computer Networking
• Cyber-Physical Systems
• Internet of Things
• +4 more

Pu Wang is an Associate Professor in the Department of Computer Science at the University of North Carolina at Charlotte (UNC Charlotte), part of the College of Computing and Informatics (CCI). His research focuses on networked systems, generative AI, computer vision, and computational biomechanics. He holds a Ph.D. from Georgia Institute of Technology (2013) and previously served as an Assistant Professor at Wichita State University (2013–2016). Education: B.E. in Electrical Engineering, Beijing Institute of Technology, 2003 M.E. in Electrical and Computer Engineering, Memorial University of Newfoundland, 2008 Ph.D. in Electrical and Computer Engineering, Georgia Tech, 2013 Research interests include modeling of networked systems (e.g., Software Defined Networking, IoT), AI-driven human mesh recovery, and biomechanically accurate 3D pose estimation. His work is supported by NSF grants and has led to advancements in federated learning, motion synthesis, and underwater communication systems. Awards and Honors: John A. See Innovation Award (Wichita State, 2016) BWN Lab Researcher of the Year (Georgia Tech, 2012) Best Student Paper Runner-Up (IEEE SCC 2016) Fellow of Memorial University’s School of Graduate Studies (2008) Key publications span top venues like ICCV, CVPR, AAAI, and IEEE journals, addressing topics such as masked motion control, vision-language models, and federated learning optimization. He actively mentors graduate students in AI/ML, computer vision, and network systems.

• Broadband Telecommunications
• Optical Packet-Switched Networks
• Software-Defined Networking (SDN)
• +4 more

Franco Callegati is a Full Professor in Computer Science at the Department of Computer Science and Engineering (DISI), University of Bologna. He coordinates the Degree Course in Computer Science and Engineering and serves as Delegate for the Imola office. His roles include President of CesenaLab, an innovation incubator, and Rector's delegate for Imola campus relations. He has held tenured positions since 1995, progressing from Researcher (1995–2001) to Associate Professor (2001–2023) before achieving Full Professor status. Education: PhD in Electronic and Computer Engineering (1993), University of Bologna Laurea in Electronic Engineering (1989), University of Bologna (cum laude) Scientific High School Diploma (1983), Luigi Valeriani School, Imola Research: Focuses on telecommunications network architectures, SDN/NFV, cybersecurity in Industry 4.0, and Smart City applications. He led European projects (e.g., EuroCPS) and coordinated international teams (e.g., e-Photon/ONe+ project with 17 institutions). His work includes optical networks, 5G slicing, and smart mobility collaborations with Emilia-Romagna Region. Teaching: Teaches telecommunications networks at undergraduate and graduate levels. Invited lecturer at institutions like University of Campinas (Brazil), University of Essex (UK), and IEEE conferences. Served as international reviewer for PhD committees in Denmark, Spain, and Belgium. Industrial Collaboration: Directed the Interdepartmental Center for Industrial Research on ICT (CIRI-ICT, 2013–2020) and led T3Lab Consortium (2016–2020). Coordinates innovation projects with SMEs using cyber-physical systems. Labs & Roles: President of CesenaLab (since 2022), member of editorial boards (Journal on Optical Switching and Networking), and technical committees (IEEE Globecom, IEEE ICC).

• Computer Networks
• Software Defined Networking (SDN)
• Network Function Virtualization (NFV)
• +5 more

Wouter Tavernier is an Associate Professor at Ghent University and a Postdoctoral researcher at IMEC, affiliated with the Faculty of Engineering and Architecture's Department of Information Technology (EA05). He leads research at the Internet Technology and Data Science Lab, focusing on networking innovations for future communication systems. His research explores: Network architectures for 5G/6G, HPC, and deterministic systems SDN/NFV orchestration for cloud/edge services Optical networking including programmable photonics and routing optimization Network resilience through fault-tolerant protocols and traffic engineering Publications (2020–2025) emphasize: Deterministic networking for real-time systems and industrial IoT Resource optimization in HPC/cloud networks Convergence of optical/wireless technologies in 6G Decentralized edge intelligence via programmable swarm solutions He advises doctoral researchers on projects including: QoS Optimization in 6G Networks (Jakob Miserez) Control Strategies for Network-Cloud Services (Abhinaba Chakraborty) Software-Based Networking for 6G (Mohammadreza Heydarian) and secured grants such as Network optimization for HPC workloads (Special Research Fund). At the Internet Technology and Data Science Lab, he collaborates on EU-US initiatives like the Next Generation Internet program, advancing open internet architectures.

• Network Function Virtualization (NFV)
• Cloud Computing
• Resource Allocation
• +8 more

Danny Raz is a Professor at the Technion - Israel Institute of Technology, specializing in computer science and networking. His work focuses on cloud computing, network function virtualization (NFV), resource allocation, and online algorithms. Institution: Technion - Israel Institute of Technology, Haifa, Israel Research interests include: Network Function Virtualization (NFV) and service chaining Stochastic and dynamic resource allocation Online algorithms in random-order models 5G/edge computing infrastructure Blockchain network analytics Over the past decade, his publications in venues like IEEE/ACM Transactions on Networking and INFOCOM address: Optimal deployment of cloud services TCAM-based classification and flow measurement Game-theoretic approaches to load balancing Cost-aware live migration and fault recovery Wireless network optimization (4G/5G) Collaborations with researchers like Yuval Shavitt, Joseph Naor, and Haim Kaplan highlight his interdisciplinary work bridging theory and practice in networking and cloud systems.

Manuel Gil PérezView profile

Associate Professor

• Cybersecurity
• Intrusion Detection Systems
• Trust Management
• +7 more

Manuel Gil Pérez is an Associate Professor in the Department of Information and Communication Engineering at the University of Murcia, Spain. His research focuses on cybersecurity, intrusion detection systems, trust management, and privacy-preserving data sharing in dynamic scenarios. University of Murcia (Faculty of Computer Science) Researcher in EU H2020/FP7 projects Key research areas include: Cyber deception frameworks for threat actor profiling Trust management in 5G/6G networks Decentralized federated learning security Privacy-preserving healthcare data systems Context-aware security mechanisms Recent publication trends highlight: Integration of knowledge graphs for threat analysis Moving target defense in distributed systems Standardization of trust frameworks for next-gen networks Adaptive risk assessment models Scientific contributions include: Design of antifragile deception systems Development of Fedstellar DFL platform Pre-standardization of reputation-based trust models Hardware fingerprinting for IoT security

Mario BaldiView profile

Associate Professor

• Programmable data planes
• Software-defined networking
• Network security
• +5 more

Mario Baldi is an Associate Professor (on leave) of Information Processing Systems at the Department of Control and Computer Engineering , Politecnico di Torino , and concurrently a Fellow in the Office of the CTO, Adaptive and Embedded Computing Group, at AMD, San Jose, CA. His career blends deep academic research with extensive industry R&D leadership. Education M.Sc. (Summa Cum Laude) in Electrical Engineering, Politecnico di Torino, 1993 Ph.D. in Computer and System Engineering, Politecnico di Torino, 1998 Research Focus Baldi’s research spans programmable data planes, software-defined networking, big-data analytics for network management, network security, high-performance switching architectures, optical networking, QoS mechanisms, and multimedia/voice-over-IP systems . He is especially known for pioneering work on P4 -based programmable networks and SmartNIC architectures. Publication & Patent Impact Across 150+ refereed papers and 35+ US patents (plus European filings), his recent output concentrates on machine-learning-driven network data-plane functions , disaggregated stateful network services , and cloud-grade DPUs . The 2021–2024 articles emphasize real-time inference directly in the network data plane and modular SDN programming. Awards & Honors Best Paper Award, IEEE ICC 2007 Best Paper Award, IEEE ISCC 2008 Best Paper Award, IEEE GreenComm 2009 Best Paper Award, ACM/IEEE WI/IAT 2014 Grants & Projects Baldi has served as Principal Investigator or Scientific Coordinator on numerous EU Framework and Italian national projects (PRIN, FAR), leading consortia on energy-efficient packet networks, trusted software execution, wireless mesh architectures, and streaming media delivery. Teaching & Mentoring He has taught graduate courses on Enterprise Network Technologies, Computer Network Technologies and Services, Networks/Cloud/Application Security at Politecnico di Torino since 2003. He has also supervised PhD collegi for the Computer and Systems Engineering doctoral program (cycles 19–23) and held visiting/adjunct positions across four continents. Labs & Teams Previously headed the NetGroup (Computer Networks Group) at Politecnico di Torino (2001–2007) and co-chairs the p4.org Architecture Workgroup , driving open standards for programmable networking.

• Computer Networks
• Internet of Things (IoT)
• Network Security
• +4 more

Markus Hidell is an Associate Professor at the Royal Institute of Technology (KTH) , specializing in computer networks, IoT systems, and network security. His teaching includes courses like Advanced Internet Technology and Security and Data Privacy on the Internet , where he serves as examiner or teacher. Research Focus : IoT architectures, energy-efficient networking, and security in distributed systems. Recent Publications : Investigate IoT scalability, buffer management algorithms, SDN security, and LTE vulnerabilities. Key Technical Areas : Network virtualization, delay-tolerant systems, and smart city infrastructure.