Find Academic Supervisors

• Colloidal Science
• Interfacial Phenomena
• Polymer Brushes
• +3 more

Grant Webber is a Professor in the School of Engineering at the University of Newcastle, specializing in Chemical Engineering. His research integrates chemical engineering and physical chemistry to study colloidal and interfacial phenomena with applications in personal care products, pharmaceuticals, minerals processing, and biomedical devices. Research interests include stimulus-responsive polymer coatings that alter structure in response to pH, temperature, or salt concentration; specific ion effects in electrolyte solutions; electrostatic formation of liquid marbles for applications in micro-reactors and sensors; and mineral processing technologies. His work employs neutron scattering, atomic force microscopy, and computational modeling to link nanoscale behaviors to macroscale properties. His recent publications demonstrate a strong focus on polymer brush systems (15 articles since 2023), with emerging themes in telecommunications network optimization and mineral processing. The work shows consistent application of fundamental principles to solve industrial problems, particularly in sustainable resource processing and advanced materials design.

Kanapathippillai CumananView profile

Professor

• Wireless Communications
• Machine Learning
• 6G and Beyond Networks
• +6 more

Prof. Kanapathippillai Cumanan is a Professor in the School of Physics, Engineering and Technology at the University of York, UK. He holds a PhD in Signal Processing for Wireless Communications from Loughborough University and a BSc (First Class Honours) in Electrical and Electronic Engineering from the University of Peradeniya, Sri Lanka. Prior to his current role, he held post-doctoral positions at Newcastle University and Loughborough University, and was an academic visitor at the National University of Singapore. Research interests: Machine learning in wireless systems, 6G/NextGen WiFi, Non-Orthogonal Multiple Access (NOMA), Cell-Free Massive MIMO, Physical Layer Security, and Cognitive Radio Networks. Editorial roles: Associate Editor for IEEE JSAC (Machine Learning in Communications), IEEE Wireless Communications Letters, and IEEE Open Journal of Communications Society. His research focuses on advancing communication technologies through optimization and AI-driven solutions, with over 100 journal/conference publications. Awards include the Exemplary Editor Award (IEEE) and ORSAS fellowship (Cardiff University). Current PhD students include Mahboubeh Irannezhad Parizi and Chentong Li. Former students have graduated since 2018. Key contributions span theoretical frameworks and practical implementations for next-generation wireless systems, including cell-free architectures, secure communication protocols, and UAV-enabled networks. Active in technical program committees for IEEE ICC, Globecom, and WCNC conferences.

• Social Network Analysis
• Network Sampling Methods
• Respondent-Driven Sampling
• +3 more

Brian Kim, Ph.D., is an Assistant Research Professor in the Joint Program in Survey Methodology at the University of Maryland. His research focuses on social network analysis, network sampling methodologies (including respondent-driven sampling), and population size estimation. He holds a Ph.D. in Statistics from the University of California, Los Angeles (2017) and a B.A. in Mathematics and Philosophy from Amherst College (2012). His work emphasizes innovative approaches to survey design and data collection, particularly in addressing challenges related to hard-to-reach populations. Recent publications explore covert communication techniques using adversarial machine learning in wireless networks, reflecting his interdisciplinary expertise in statistics and computer science. Key Research Trends: Kim’s articles highlight advancements in adversarial machine learning for network security, optimization of open RAN systems, and methodological improvements in respondent-driven sampling diagnostics. His studies bridge theoretical statistical frameworks with practical applications in modern communication systems and survey methodologies. Lab/Team Affiliations: His research is conducted within the Joint Program in Survey Methodology, collaborating with institutions and platforms globally to inform public policy and research practices.

• Nonlinear dynamic systems
• Graph theory
• Machine learning
• +3 more

Dr Mengbang Zou is a Research Fellow in 6G Communications and Computing at Cranfield University's Centre for Autonomous and Cyberphysical Systems, supported by an Engineering and Physical Sciences Research Council (EPSRC) grant. He earned his Ph.D. from Cranfield's School of Aerospace, Transport and Manufacture, establishing his foundation in systems engineering and network analysis. His research expertise centers on nonlinear dynamic systems , graph theory , and machine learning , with rigorous investigations into stability, synchronization, and resilience quantification in complex networks. Applications span telecommunications (6G/O-RAN), industrial IoT systems, and social network dynamics, emphasizing data-driven control and optimization under uncertainty. Recent publications (2022-2025) demonstrate a cohesive trajectory in network stability analysis, leveraging reinforcement learning and graph neural networks for load balancing, cascade control, and topological rewiring. Key journals include IEEE Transactions on Network Science and Engineering, Information Sciences, and IEEE Systems Journal, reflecting interdisciplinary impact in engineering and computer science. Dr Zou operates within Cranfield's Centre for Autonomous and Cyberphysical Systems, focusing on next-generation network intelligence. His EPSRC-funded work targets 6G communications, with no documented advising roles or scientific awards in the provided materials.

• Cloud-Native Network Functions (CNFs)
• Kubernetes Orchestration
• Telecom Cloud Infrastructure
• +4 more

Razvan-Mihai Ursu is a Researcher at the Chair of Communication Networks (Lehrstuhl für Kommunikationsnetze) at the Technical University of Munich, led by Prof. Wolfgang Kellerer. His research focuses on cloud-native network functions (CNFs), Kubernetes-based orchestration, energy-efficient telecom cloud architectures, and network security in open RAN systems. He holds a Master’s degree in Electrical Engineering and Information Technology from TUM (2023) and has been actively involved in the Chair since June 2023. Key research areas include: Design and optimization of Kubernetes orchestration for telecom core networks Energy-efficient redundancy models for telco applications Simulation frameworks for multi-tier Kubernetes deployments (e.g., using Shadow simulator) Security vulnerabilities in O-RAN nearRT-RIC platforms Autonomous network adaptation via digital twins He supervises master’s theses on topics such as CNF orchestration tools evaluation, energy optimization in Kubernetes clusters, and security testing of FlexRIC platforms. His work aligns with projects like the 6G Future Lab Bavaria and the ERC Network Flexibility initiative. Current projects involve advancing simulations for Kubernetes-based systems and developing mathematical models to optimize telecom cloud redundancy for energy efficiency while maintaining service availability.

Andrea LacavaView profile

Research Fellow

• 5G and beyond networks
• Open RAN architectures
• Real-Time AI-based Control
• +5 more

Andrea Lacava is a Postdoctoral Research Fellow at Northeastern University's Institute for the Wireless Internet of Things (WIoT). He holds dual Ph.D. degrees in Computer Engineering (Northeastern University) and Information and Communication Technology (Sapienza University of Rome), completed in 2025. His research focuses on 5G networks, Open RAN architectures, AI-driven control systems, and network security, with notable contributions to frameworks like ns-O-RAN and dApps. He has received prestigious awards including the IEEE Globecom 2024 Best Paper Award and the Laurel and Scroll Honor Society distinction. Education includes a B.Sc. in Computer Engineering (Sapienza, 2018), M.Sc. in Cybersecurity (Sapienza, 2020), and dual Ph.D.s in Computer Engineering and ICT (2025). His work bridges theoretical research with practical applications, emphasizing real-time AI integration in telecommunications and network security. Leadership roles include Technical Chair positions at RESTART Tech Camps (2024-2025) and organizing tutorials on Open RAN and Deep Reinforcement Learning. He actively contributes to open-source projects like ns-O-RAN and Colosseum, a wireless network emulator. His research themes span network digital twins, spectrum sharing, and IoT security, with publications in top-tier journals like IEEE Transactions on Mobile Computing and Journal of Computer Networks.

• Wireless Communications
• Machine Learning (AI/ML) for Wireless Networks
• Radio Resource Management
• +7 more

Adnan Shahid is an Assistant Professor and Postdoctoral Researcher at the Department of Information Technology (EA05), Faculty of Engineering and Architecture , Ghent University . His work focuses on Wireless Communications , Machine Learning for Networks , and IoT , with specific interests in UWB Localization , Radio Resource Management , and Interference Mitigation . Research Themes : Wireless Foundation Models, 5G/6G, AI/ML for Wireless Systems, Connected Healthcare Recent Article Trends : 5G and UWB applications, interference cancellation with neural networks, federated learning for IoT, precision localization techniques, and edge AI for wireless devices Supervision : He has supervised PhD projects in areas like UWB Error Correction , 6G RAN Optimization , and RF Signal Awareness . Grants include funding from the Special Research Fund and Research Foundation - Flanders (FWO) . Collaborations : Regular partnerships with Eli De Poorter , Ingrid Moerman , and Mostafa Naseri . Publications span IEEE journals and conferences, emphasizing practical implementations of machine learning in wireless systems.

Yao ZhengView profile

Associate Professor

• Wireless Communication
• Wireless Sensing
• Wireless Security
• +5 more

Yao Zheng is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Hawaiʻi at Mānoa's College of Engineering. He holds a Ph.D. in Computer Science from Virginia Tech (2016), M.S. in Electrical and Computer Engineering from Worcester Polytechnic Institute (2011), and B.S. in Microelectronics from Fudan University (2007). Previously, he worked as a junior researcher at Siemens Corporate Technology in China (2007-2009). His research focuses on wireless communication, sensing, and security , with specific expertise in mmWave/sub-THz radar sensing, biomedical sensors, and intelligent reflective surfaces. He leads major research initiatives including the O-RAN-Based Cyberinfrastructure Training project (NSF OAC-2417891, $150k) and 5G/B5G Intelligent Reflecting Surfaces for Aircraft Mission Readiness ($1.95M total). His laboratory develops integrated sensing-communication systems for applications ranging from physiological monitoring to environmental sensing. His recent publications (2022-2024) demonstrate strong focus on wireless physiological sensing (using mmWave for respiration/heart monitoring), security applications (biometric authentication, channel randomization), and NextG network enhancements (intelligent reflective surfaces, C-V2X coverage). The work spans IEEE journals, radar conferences, and IoT venues with consistent contributions to wireless sensing integration. Senior Member of IEEE Honorary Graduate of Starfleet Academy Professor Zheng advises students through VIP projects including Monet (Millimeter-wave Communication and Sensing Integration) and RASRE (Reflectarray Applications). His teaching portfolio includes ECE260 (Digital Design), ECE602 (Algorithms), and specialized courses on wireless communication and security. Current grants support cyberinfrastructure training and aircraft mission readiness applications through O-RAN and intelligent reflecting surface technologies.

Dimitrios KoutsonikolasView profile

Adjunct Associate Professor

• Wireless Networking
• Mobile Computing
• Network Measurements
• +3 more

Dimitrios Koutsonikolas is a Volunteer Adjunct Associate Professor in the Department of Computer Science and Engineering at Northeastern University, affiliated with the School of Engineering and Applied Sciences. His research focuses on experimental wireless networking, mobile computing, high-performance protocol design, network measurements, and testbed prototyping. Education: PhD in Electrical and Computer Engineering, Purdue University (2010) BS in Electrical and Computer Engineering, National Technical Institute of Athens, Greece Research Interests: Dr. Koutsonikolas explores cutting-edge wireless technologies, including 5G/6G networks, millimeter-wave communication, MIMO systems, and network performance evaluation. His work emphasizes practical implementations and open standards (e.g., O-RAN), aiming to bridge theory and real-world deployment challenges. Key Contributions: His recent studies analyze 5G mmWave networks' maturity, beam management, and latency-sensitive applications like XR streaming. He also pioneers testbeds like X-Mili and NVIDIA ARC-based O-RAN platforms to accelerate next-gen wireless innovation. Awards: Best Paper Award, IEEE WCNC 2017 NSF CAREER Award (2016) CSE Early Career Faculty Teaching Award (2015) SEAS Early Career Researcher of the Year Award (2015) Grant & Advising: Leads NSF-funded projects on 5G/6G architectures and collaborates on cross-layer testbeds. His work emphasizes interdisciplinary approaches, blending networking with machine learning and hardware optimization. No formal advisees are listed in the provided data.

Kangfeng YeView profile

Researcher

• Probabilistic Programming
• Formal Verification
• Graphical Notations
• +5 more

Dr Kangfeng Ye is a Researcher at the Department of Computer Science, University of York. His work focuses on probabilistic programming, formal verification, and model-based software engineering for robotics and cyber-physical systems. PhD in Computer Science (2016), University of York Research roles in projects like CHEDDAR, SESAME, RoboTest, RoboCalc, and INTO-CPS His research bridges formal methods with practical applications in autonomous systems, security protocols, and robotics. He employs tools like PRISM, Isabelle, and RoboChart to ensure software reliability. Recent publications highlight trends in probabilistic modeling, formal verification of security protocols, and robotics safety assurance. His work intersects with 6G networks, agriculture robots, and controller synthesis from diagrams.

• Wireless Communications
• Machine Learning
• Robotics
• +6 more

Dr. Kwang-Cheng Chen is a Professor in the Department of Electrical Engineering at the University of South Florida. His research focuses on wireless communications, machine learning applications in networks, robotics, and smart manufacturing systems. He holds a PhD from the University of Maryland (1989) and has affiliations with institutions like National Taiwan University and National Tsing Hua University. Dr. Chen has contributed extensively to IEEE journals and conferences, with over 400 publications since 1992. His work bridges theoretical advancements and practical applications in areas such as 5G/6G networks, edge computing, and multi-agent systems. He has collaborated with global researchers and industry partners, addressing challenges in network slicing, UAV-assisted communications, and resilient production systems. Research interests include: Machine Learning for Network Optimization Smart Factory Automation Ultra-Reliable Low-Latency Communications (URLLC) Edge and Fog Computing Multi-Agent Systems and Robotics Network Slicing and Virtualization Recent articles emphasize leveraging AI and reinforcement learning to solve complex problems in wireless networks (e.g., RIS-aided interference suppression) and robotic systems (e.g., multi-robot task allocation). His work often integrates theoretical models with real-world deployments, such as blockchain-enhanced UAV communication and federated learning in open RAN systems. Grants and collaborations involve government and industry projects on 6G architectures, IoT security, and smart city infrastructure. He leads interdisciplinary teams focusing on future communication systems and industrial automation.

Shidrokh GoudarziView profile

Senior Lecturer

• Wireless Networks
• Artificial Intelligence
• Machine Learning
• +3 more

Shidrokh Goudarzi is a Senior Lecturer in Computer Science at the School of Computing and Engineering, University of West London. She previously held academic positions at the Centre for Vision, Speech, and Signal Processing (CVSSP) at the University of Surrey and as a senior lecturer at Universiti Kebangsaan Malaysia (UKM). She holds a PhD in Communication Systems and Wireless Networks. Her research focuses on wireless networks, artificial intelligence, machine learning, IoT, and cloud computing, with contributions to resilient IoT technologies and smart city applications. She has designed architectures for smart IoT systems and developed models for distributed communications and vehicular networks. Her work bridges theoretical advancements with industry-relevant solutions. Dr. Goudarzi serves on the editorial boards of high-ranked journals including IEEE Transactions on Industrial Informatics and IEEE Transactions on Network Science and Engineering. She also reviews for reputable journals like Computational Intelligence and KSII Transactions on Internet and Information Systems. She teaches courses such as MSc Communication Systems, BSc Computer Science, and BSc Artificial Intelligence, reflecting her expertise in both theoretical and applied computing disciplines.

Albert BanchsView profile

Professor

• Network Slicing
• 5G/6G Networks
• Mobile Networks
• +4 more

Dr. Albert Banchs is a Full Professor at Universidad Carlos III de Madrid, affiliated with the Escuela Politécnica Superior. He also serves as Director of IMDEA Networks and has held visiting positions at ETHZ, EPFL, and the University of Texas at Austin. His expertise lies in network slicing, 5G/6G architectures, and AI-driven network management. He holds an M.Sc. and Ph.D. in Telecommunications Engineering from UPC BarcelonaTech (2002). Education: Ph.D. in Telecommunications Engineering, UPC BarcelonaTech (2002) M.Sc. in Telecommunications Engineering, UPC BarcelonaTech (1997) Research Interests: Focuses on next-generation mobile networks, including network slicing, resource allocation, and AI integration. His work emphasizes optimizing 5G/6G architectures for efficiency and scalability. He has pioneered solutions like POSENS and AZTEC, leveraging deep learning and reinforcement learning. Awards: 2023-2024 World's Top 2% Scientists (Stanford/Elsevier) 2016-2017 IEEE Distinguished Lecturer National award for best PhD thesis (2003) Grants & Projects: Led major EU initiatives like 5G-MoNArch (H2020) and coordinated projects such as CARMEN (FP7). Currently manages SUSTAIN-6G (Horizon Europe) and coordinates multi-million euro grants focusing on 6G and network slicing. Labs/Teams: Directs IMDEA Networks and collaborates with industry partners (e.g., Nokia Bell Labs, Google) through joint research and standardization efforts at IETF/IEEE.

• Telecommunications
• 5G and 6G Networks
• Network Virtualization
• +4 more

Roberto Bruschi serves as a Full Professor in the Department of Naval, Electrical, Electronic, and Telecommunications Engineering (DITEN) at the University of Genoa, Italy. He instructs Master's-level courses including Internet Technologies: Architectures and Protocols, Wireless Networks (5G) and Cloud/Edge Computing, and 5G, Cloud and IoT across Electronic Engineering, Computer Engineering, and Internet and Multimedia Engineering programs. His research concentrates on next-generation telecommunications with emphasis on: 5G/6G network sustainability and ethical frameworks Energy-efficient network virtualization and resource management Cloud/edge computing integration for medical and industrial applications Human-robot collaboration over beyond-5G networks Performance optimization of containerized network functions His work bridges telecommunications engineering, computer science, and environmental sustainability, targeting carbon footprint reduction in future networks. Analysis of his 2023-2025 publications reveals a pronounced shift toward ethical and sustainable network design , with 80% of recent work addressing energy efficiency metrics, monitoring frameworks for B5G sustainability, and ethical AI governance in 6G. Key methodological approaches include stochastic modeling for queue management, open-source analytics prototypes, and real-world validation of power consumption in O-RAN deployments. No scientific awards or honors were documented in the source materials. Information regarding student advising, research grants, or laboratory affiliations was not provided in the available documentation.

• Wireless Networking
• 5G
• IoT
• +3 more

Ren Ping Liu is a Professor and Head of Discipline for Networking and Cybersecurity at the University of Technology Sydney (UTS), School of Electrical and Data Engineering, within the Faculty of Engineering and Information Technology. He also leads the Global Big Data Technologies Centre (GBDTC). His roles include academic leadership, research, and industry collaboration. Education: Ren Ping Liu holds a PhD. Specific details of his academic qualifications are not explicitly provided in the text. His research focuses on wireless networking, 5G, IoT, robotics, cybersecurity, and blockchain technology. He has contributed to projects such as the award-winning BeFAQT system, which applies blockchain and IoT for fish provenance tracking. His work emphasizes practical solutions for government and industry, including cybersecurity and network reliability in 6G and O-RAN systems. NSW iAwards 2020 for the BeFAQT project Australian Engineering Innovation Award 2012 CSIRO Chairman’s Medal for contributions to the Wireless Backhaul project He has supervised over 30 PhD students, including Kai Wu, recognized for an outstanding thesis. Liu has secured over $5 million in research grants, leading 12 of 18 grants since 2016. Notable projects include the $50M Food Agility CRC initiative in digital agrifood technologies. Trusted Fish Provenance and Quality Tracking System (2019-2020) ASTRID - Advancing STEM, Technology Research, Innovation & Deployment (2023-2028) Liu’s work involves collaborations across academia and industry, including leadership roles in IEEE NSW VTS Chapter and founding Ultimo Digital Technologies, focusing on IoT and blockchain solutions.