Olga Błaszkiewicz serves as an Assistant Lecturer at the Department of Radiocommunication Systems and Networks within the Faculty of Electronics Telecommunications and Informatics at Gdańsk University of Technology. Her academic position is based in Building A, room 402, with contact information including email olga.blaszkiewicz@pg.edu.pl and phone 583472928. Her research spans wireless communication technologies with particular focus on NB-IoT, LTE systems, and deep learning applications. Key interests include radio navigation, UWB systems, LOS/NLOS identification, and software-defined radio frameworks. Her experimental work demonstrates practical applications in transportation monitoring through wireless signal analysis and indoor positioning systems. Analysis of her recent publications (2019-2025) reveals a strong trend toward integrating machine learning with traditional telecommunications systems, particularly in solving real-world problems like train detection using existing LTE infrastructure and improving synchronization in narrowband IoT systems. Her work bridges theoretical signal processing with practical deployment scenarios. She actively contributes to multiple research projects including SDIDS (Software-Defined Device for Detecting Interferences), KODEŚ (Power Data Concentrator), DUCH IoT (Software-Defined Radio Interface), and VCS-MLAT (Aircraft Location Systems). These projects are funded by Poland's Operational Program Intelligent Development and LIDER programs. Her teaching portfolio encompasses 21 courses including Radio Communication Measurement, Wireless Technology, Telecommunication Signals Laboratory, and Signal Processing. She collaborates extensively with researchers like Krzysztof Cwalina, Piotr Rajchowski, and Jacek Stefański on both teaching and research initiatives within the Department of Radiocommunication Systems and Networks.
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.
Adam Wolisz is a full Professor of Electrical Engineering and Computer Science at Technische Universität Berlin (TU Berlin), where he founded and led the Telecommunication Networks Group (TKN) from 1993 until 2018. He also served as Executive Director of the Institute for Telecommunication Systems (2001-2018), inaugural Dean of the Faculty of Electrical Engineering and Computer Science (2001-2003), and is currently an Einstein Center Digital Future (ECDF) Fellow. Since 2005 he has held an adjunct appointment at the University of California, Berkeley, and is presently a visiting researcher at the Berkeley Wireless Research Center. Education Dipl.-Ing. in Control Engineering, Silesian Technical University, Gliwice (1972) Dr.-Ing. in Computer Engineering, Silesian Technical University, Gliwice (1976) Habilitation in Computer Engineering, Silesian Technical University, Gliwice (1983) Research Interests Professor Wolisz has spent five decades advancing the architectures, protocols, and performance evaluation of communication networks. His current work centres on mobile multimedia communication , wireless sensor networks , and cognitive/cooperative wireless systems . Methodologically, he combines rigorous analytical modelling with large-scale simulation and real-world experimentation, frequently within the open testbeds run by TKN. A cross-cutting theme is Quality of Service (QoS) —from early work on real-time operating systems and industrial field-buses to recent studies on QoE-driven adaptive video streaming and ultra-reliable low-latency vehicular communications. His group is internationally recognised for contributions to reinforcement-learning-based MAC scheduling , spectrum sharing between LTE-U and WiFi , and energy-efficient protocol design . Publication Impact & Trends Across more than 200 refereed publications, two clear trajectories emerge: (1) a continuous evolution from wired network modelling (WDM optical networks, ATM, early Internet QoS) toward fully wireless and mobile settings, and (2) an increasing reliance on machine-learning techniques to tackle uncertainty and dynamics in dense, heterogeneous wireless environments. Recent papers exploit deep reinforcement learning for scheduling, federated learning for context-aware services, and transfer learning for realistic mobile-app testing. Scientific Awards & Recognition Best Paper Awards: IEEE WoWMoM 2020, IEEE INFOCOM CNERT 2019, ACM MSWiM 2017, IEEE EW 2017, IFIP WD 2017, IEEE EW 2009 Best Demo Award: ACM/IEEE IPSN 2014 (EVARILOS benchmarking platform) Senior Member, IEEE & IEEE ComSoc; Member, ITG (VDE); Steering Board, GI/ITG KuVS Doctoral Advising, Projects & Funding Since establishing TKN in 1993, Professor Wolisz has supervised over 60 completed PhD dissertations . Current and recent funding includes the DFG Collaborative Research Centre 1053 “MAKI”, DFG priority programme “SmartSynch”, EU projects (e.g., Fed4FIRE+, H2020 5G-Infrastructure), and industrial collaborations with Deutsche Telekom, Nokia, and Rohde & Schwarz. The group operates large-scale indoor and outdoor testbeds (FIT/IoT-LAB Berlin, TKN campus testbed, EVARILOS benchmarking framework) that are open to external researchers. Laboratories & Teams At TU Berlin, Professor Wolisz heads the Telecommunication Networks Group (TKN) , comprising more than 25 researchers (post-docs, PhD candidates, MSc students, technical staff). TKN maintains four major labs: the Wireless Communication Lab (software-defined radios, mmWave, IEEE 802.11ax/ay), the Sensor Networking Lab (IoT, 6TiSCH, energy harvesting), the Networking Testbed (optical backhaul, network softwarisation), and the QoE & Multimedia Lab (adaptive streaming, immersive media). Multiple spin-off companies have emerged from TKN research, most recently “Wolisz Technologies” (founded 2020) commercialising AI-driven Wi-Fi optimisation.
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.
Murat Yuksel is a Professor in the Department of Electrical and Computer Engineering at CREOL, The College of Optics and Photonics , University of Central Florida. His research focuses on advanced wireless communication systems, including millimeter-wave (mm-Wave) technologies, free-space optical (FSO) communication, and machine learning applications in signal processing and network protocols. He leads projects involving software-defined radio (SDR) testbeds, resilient emergency communication networks, and automated peering strategies for internet service providers (ISPs). His work bridges theoretical research with practical implementations, such as developing steerable antenna arrays for mm-Wave systems and optimizing FSO transceivers for aerial platforms. Yuksel also explores socio-technical aspects of communication networks, including disaster response communication on social media and economic models for ISP peering agreements. His contributions span interdisciplinary areas like visible light communication (VLC) networks, UAV-assisted optical links, and blockchain-based routing security. Key research themes include: Directional antenna design and beamforming Machine learning for radio propagation modeling Resilient disaster communication systems ISP peering automation and network economics Multi-element FSO and VLC testbed development Yuksel has contributed to over 50 peer-reviewed articles and actively collaborates with industry and government entities on projects like the CNS Core: Small: Directional Software-Defined Radio initiative.
Dr. Suleman Khan is an Associate Professor at the University of Bradford's School of Computer Science, AI & Electronics. He holds a PhD (Distinction) in Cybersecurity from Universiti Malaya (2017) and previously worked as a Senior Network Officer at Pakistan International Airlines. His academic career includes roles at Monash University, Northumbria University, and the University of Central Lancashire. He leads the Innovate UK-funded CyberASAP project as PI and has published over 90 high-impact articles. His research focuses on cybersecurity, software-defined networks, digital forensics, IoT, and AI. Education: PhD in Cybersecurity, Universiti Malaya, Malaysia (2017) Research Interests: Network forensics, privacy preservation, trust management, SDN security, IoT security, AI-driven defense mechanisms. His work emphasizes innovative solutions for cyber threats in modern networks and intelligent systems. Awards: Fellow Member of the HEA IEEE Member Grants & Projects: Innovate UK - CyberASAP (Cyber Security Academic Startup Accelerator Programme) Teaching Areas: Cybersecurity, Networking, and Information Systems.
Dr. Purav Shah is a Senior Lecturer in the Design Engineering & Mathematics Department at Middlesex University, part of the Faculty of Science and Technology. He joined Middlesex in 2010 and previously served as an Associate Research Fellow at the University of Exeter (2008–2010) on the EU-FP6 PROTEM project. He holds a PhD in Communication and Electronics Engineering from the University of Plymouth (2008) and is a UK HEA Fellow. Education PhD in Communication and Electronics Engineering, University of Plymouth, UK (2008) Research Fellowship, University of Exeter (2008–2010) Research Interests His research focuses on signal processing for next-gen communication networks, IoT/M2M systems, edge-based devices, AI-inspired smart systems, RF fingerprinting, digital twin modeling, and energy-efficient wireless systems. He has led projects on digital twin applications in transportation, smart factories, and cyber-physical systems. Teaching & Leadership He is Programme Leader for MSc Telecommunications Engineering, MSc Intelligent Telecommunications Engineering (since 2014), and MSc Robotics (since 2023). He teaches courses on digital systems design, machine learning for robotics, and telecommunications project modules. Key Contributions Developed frameworks for digital twin-driven traffic optimization and smart factory systems. Pioneered work on AI-assisted scheduling in 6G networks and energy-efficient vehicular edge networks. Contributed to disaster management communication architectures and D2D-based public safety networks. Published over 100 papers in top venues like IEEE Transactions and international conferences. Awards & Recognition UK HEA Fellow (Higher Education Academy) Advising & Grants Currently supervising PhD students Nivede Issur and Inas El-Aroussi. His research has been supported by grants from EPSRC and Innovate UK, focusing on smart systems and network optimization. Labs & Teams Active in Middlesex’s Network and Digital Systems (NDS) research group, collaborating on projects like DigIT (Digital Twins for Transportation) and blockchain-integrated cyber-physical systems.
George Xylomenos is a Professor in the Department of Informatics at Athens University of Economics and Business (AUEB), where he has been a faculty member since 2002, progressing from Lecturer to Professor. He serves as Scientific Coordinator of the Information Systems Management Center and previously held roles including Deputy Chair of the Department of Informatics and Deputy Rector for Financial Planning and Development. He is affiliated with the Mobile Multimedia Laboratory (MMlab) at AUEB and has made significant contributions to computer networking research. Professor (System Software) at AUEB, Department of Informatics (2020-present) Associate Professor at AUEB, Department of Informatics (2015-2020) Assistant Professor at AUEB, Department of Informatics (2007-2015) Lecturer at AUEB, Department of Informatics (2002-2007) Research Associate at University College London (2016-2017) Education Ph.D. in Computer Science, University of California, San Diego (1999) M.S. in Computer Science, University of California, San Diego (1996) Diploma in Applied Informatics, Athens University of Economics and Business (1993) Professor Xylomenos' research focuses on computer network and operating system design and implementation. His primary interests include Future Internet architecture, Information-Centric Networking, Quality of Service provisioning, communication protocols for wireless and mobile networks, and Network Music Performance systems. His work bridges theoretical networking concepts with practical implementations, particularly in the areas of content-centric networking and multimedia communications. He has pioneered research in multi-service link layers for wireless networks and has made significant contributions to the understanding of TCP performance over wireless links. His recent publications demonstrate a strong focus on Named Data Networking, decentralized identity systems, and Network Music Performance. The research trends show a progression from traditional IP networking toward information-centric architectures, with increasing emphasis on security, privacy, and multimedia applications in distributed environments. Scientific Awards Best demo award at ACM ICN Conference (2017) Future Internet Award from FP7 PURSUIT project (2013) Runner up for best local student paper at IEEE Symposium on Computers and Communications (2011) Best non-student paper award at European Wireless Conference (2007) National Semiconductor Corporation Graduate Fellowship (1996) Professor Xylomenos has supervised numerous research projects, including multiple EU-funded initiatives such as PURSUIT, PSIRP, and EIFFEL in the Future Internet domain, and MUSINET for Network Music Performance. He has served on the editorial board of IEEE Transactions on Mobile Computing (2016-2024) and has been active in numerous Technical Program Committees for major networking conferences. His research has attracted significant funding from European Union programs including FP7, H2020, and Horizon 2020. He is a core member of the Mobile Multimedia Laboratory (MMlab) at AUEB, which focuses on advanced networking technologies, multimedia systems, and future Internet architectures. The lab has been instrumental in Greece's participation in major European research initiatives related to Information-Centric Networking and Network Music Performance. The laboratory maintains strong collaborations with international research groups, particularly in Europe and the United States.
Behnam Dezfouli is an Associate Professor in the Department of Computer Science and Engineering at Santa Clara University, USA, and Director of the IoT Research Lab (SIOTLAB). His research focuses on IoT systems, edge/fog computing, network security, and software-defined networking. He teaches courses on IoT, computer networks, and programming. Affiliations: IEEE Senior Member, IEEE Communications Letters Associate Editor. Research: IoT protocols, energy-efficient communication, AI-driven network optimization, and humanitarian tech applications like flood monitoring (Flomosys). Publications: Over 60 papers in journals like IEEE Transactions and conferences such as INFOCOM and GLOBECOM, emphasizing IoT security, edge computing, and wireless protocols. Projects: Developed platforms like the Fog Development Kit (FDK), MonFi for network monitoring, and Sensifi for ultra-high-rate sensing. Grants & Recognition: Senior Member of IEEE, leading industry collaborations and litigation consulting.
Prof. Tasolamprou Anna is a Professor at the Institute of Electronic Structure and Nanotechnology (IESL) within the Foundation for Research and Technology – Hellas (FORTH). Her research focuses on metamaterials, photonics, nanotechnology, and optoelectronics, with a strong emphasis on advanced applications like THz technology, solar energy systems, and reconfigurable metasurfaces. She leads the Photonic-, Phononic- and Meta-materials (PPM) Group, pioneering work in chiral metasurfaces, graphene-based optoelectronics, and energy-efficient photovoltaic solutions. Her academic journey includes significant contributions to the design and characterization of dielectric metasurfaces, photonic crystals, and smart materials for wireless communication and energy harvesting. Prof. Anna’s work bridges theoretical modeling with experimental validation, addressing challenges in beam steering, wavefront manipulation, and ultrafast modulation in THz regimes. She has also explored passive radiative cooling techniques to enhance solar cell efficiency under varying environmental conditions. Key innovations include tunable microwave antennas, ultra-thin transparent electrodes, and software-defined metasurfaces for 6G communications. Her research often integrates nanofabrication techniques like laser-induced periodic surface structures and 3D printing to achieve high-performance optical components. These advancements have implications for next-generation optoelectronics, renewable energy systems, and intelligent communication infrastructure.
Gokop Goteng is a Senior Lecturer at Queen Mary University of London's School of Electronic Engineering and Computer Science, specializing in cloud computing, IoT security, and middleware systems. He holds a PhD in Grid Computing from Cranfield University (2009) and has held postdoctoral roles at Qatar Computing Research Institute (2012-2014) and King Abdullah University of Science and Technology (2012-2014). Currently, he leads the BUPT joint program's Cloud Computing and Middleware modules, focusing on industry-relevant skills in distributed systems and software engineering. His research integrates cloud technologies, cybersecurity, and AI to address challenges in smart cities, energy systems, and digital healthcare. Notable projects include malware detection in IoT devices and optimizing cloud service latency via deep learning. He is an Oracle Certified Professional (OCP), Java Certified Programmer (JCP), and active member of the British Computer Society (BCS) and IEEE. Teaching responsibilities include Cloud Computing (BUPT joint programme) Middleware for IoT Software Engineering , emphasizing hands-on programming with APIs, secure middleware design, and team-based software development. His work emphasizes industry collaboration, as seen in AWS Academy partnerships to enhance student employability. He maintains a research website at gotengphdstudents for doctoral supervision and project updates.
Dr. Chris Phillips is a Reader in the School of Electronic Engineering and Computer Science at Queen Mary University of London. He holds a BEng in Telecommunications Engineering and a PhD in Telecommunications from Queen Mary. His roles include Director of Recruitment and Admissions for EECS, Programme Director of Computer Systems Engineering, and member of the Networks Research Group. His research focuses on Internet Technologies, Optical Networking, Network Security, and Energy-Efficient systems, with emphasis on resilient communication, wireless sensor networks, and nomadic computing. Education: BEng Telecommunications Engineering (1st Class Honours), Queen Mary University of London (1984–1987); PhD in Telecommunications, Queen Mary University of London (1987–1991). Professional experience includes roles at Bell Northern Research, Siemens–Roke Manor Research, Nortel Networks, and academic leadership at Queen Mary since 2000. He has supervised over 20 PhD students and contributed to multiple research grants, including projects on energy management in wired networks and resilient overlay systems. Research Interests: Internet protocols, optical networking, network security, energy efficiency, wireless sensor networks, and resilient communication systems. His work spans theoretical advancements and practical implementations, with applications in healthcare, agriculture, and vehicular systems. Recent publications explore IoT optimization, cooperative routing in MANETs, and energy-efficient optical networks. Grants and Awards: Secured funding from EPSRC, Royal Society, Nortel, Nokia, and the UK-China Government Office for Science. Notable grants include the EPSRC-funded project on machine learning in optical networks and Royal Society collaborations on intelligent connection management. Teaching: Currently teaches Computer Architecture and Networks (Postgraduate) and Microprocessor Systems Design (Undergraduate). Previously lectured on topics like MPLS networks, G-MPLS, and real-time transport protocols. His teaching integrates practical lab work with theoretical frameworks, emphasizing hands-on experience with microcontrollers and network protocols. Labs/Teams: Active member of the Networks Research Group, collaborating with institutions like Technical University of Denmark and University of Girona. His research team focuses on developing innovative solutions for network resilience, energy efficiency, and distributed systems.
Joaquín Álvarez Horcajo is an Assistant Professor at the University of Alcalá, affiliated with the Department of Automation within the School of Telematics Engineering. His research focuses on software-defined networking (SDN), edge computing, industrial IoT (IIoT), network protocols, and topology discovery. He earned his doctorate from the University of Alcalá in 2020 with a thesis on advanced switch design based on path exploration protocols. His work emphasizes scalable network architectures, in-band control mechanisms, and hybrid SDN environments. Notable contributions include protocols like HDDP for hybrid domain discovery and MDTA for disjoint path algorithms. He explores AI-driven solutions for IIoT networks and investigates programmability advancements for 6G systems. His publications span 2017–2025, with recent trends addressing edge computing resource management, multi-hop collaboration in constrained IoT networks, and military deployable cloud infrastructures. His research bridges theoretical networking concepts with practical implementations in dynamic environments. He leads the NetIS research group (Networks and Intelligent Systems), focusing on resilient in-band control protocols such as Amaru and distributed resource-sharing mechanisms like MuHoW. His work often involves collaboration with industry partners to validate proof-of-concept systems in real-world scenarios.
Isaías Martínez Yelmo is a full Professor and Director of the Department of Automation at the University of Alcalá (UAH), Spain. He holds a PhD from Universidad Carlos III de Madrid (2010) and specializes in telematics engineering, with a focus on networks and intelligent systems. His research interests include software-defined networking (SDN), IoT, 5G, edge computing, and network security. He leads the NetIS Redes y Sistemas Inteligentes research group. Education : PhD in Telematics Engineering, Universidad Carlos III de Madrid (2010) Research Interests : His work emphasizes innovative solutions in network architectures, with a focus on scalable SDN protocols, IoT integration, and edge computing. He explores topics like hybrid SDN environments, topology discovery, and resource management in multi-hop networks. His contributions address challenges in 5G, 6G, and industrial IoT ecosystems. Grants & Projects : He has led or co-led over 30 research projects funded by entities like the Spanish Ministry of Science, Madrid Government, and EU programs. Notable projects include: VERANO (2025-2026) : Edge resource allocation and network orchestration ADMINISTER (2022-2025) : Cyber-physical systems in augmented reality BISHOPS (2018-2019) : SDN-P4 integration for hybrid networks Labs/Teams : He directs the NetIS group, which develops cutting-edge solutions in networks and systems intelligence. The group collaborates internationally on projects like MistLETOE (smart environments) and 6G-CLARION (5G-IoT integration).
Dr. Muhammad Usman is a Senior Lecturer in Cyber Security & Forensics at Edge Hill University, UK. He holds a PhD in Cyber Security from Griffith University, Australia, and completed a Postdoc in Cyber Security and Machine Learning at the University of Surrey. With 21 years of experience spanning academia, industry, and research, he has held roles such as Network Engineer, Assistant Professor, and Research Fellow across Australia, Asia, and Europe. His research focuses on interdisciplinary areas including AI-driven systems, digital forensics, trust & privacy, and HealthTech/Agritech. He leads the 'Human-Centred Intelligent and Secure Systems' research group and has secured significant grants, including leadership roles in projects funded by the British Council and NAUSS Saudi Arabia. His work has been recognized with awards, including a best paper award at IEEE ComTech 2017. Dr. Usman advises on policy and education, including roles with the UK Parliament’s COVID-19 Outbreak Expert Database and the Government of Pakistan. He is a Programme Leader for the BSc (Hons) Computing (Networks, Cyber Security and Forensics) and a Juniper-certified expert in networking and security. His contributions extend to editorial roles, conference organization, and leadership in IEEE committees.
