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Wei JinView profile

Lecturer

• High-speed optical transmission systems
• Low-cost optical access networks
• Seamless optical metro-access network convergence
• +3 more

Dr. Wei Jin is a Lecturer (Teaching and Research) at the School of Computing and Engineering, Bangor University. He holds a Ph.D. in Optical Engineering from the University of Electronic Science and Technology of China (2017). Previously, he served as a lecturer at Southwest Petroleum University (2017–2018) and a postdoctoral researcher in the Optical Communications Research group at Bangor (2019–2021), before securing his current lectureship. His research focuses on high-speed optical transmission systems, low-cost optical access networks, and advanced digital signal processing (DSP) algorithms. He has authored/co-authored over 75 peer-reviewed publications. Dr. Jin teaches courses including ICE-2601 Data Systems, Management & Eth and ICE-4414 RF & Optical MEMS , and supervises undergraduate, MSc, and PhD projects. His work emphasizes seamless network convergence, reconfigurable optical components, and security in optical communication systems. Key contributions include experimental demonstrations of advanced transceiver designs and network architectures for 5G and beyond. He is affiliated with the Digital Signal Processing Centre of Excellence (DSP Centre) at Bangor University. Recent research trends in his publications highlight innovations in physical layer security using chaotic digital filters, seamless fiber-wireless access networks, and dynamic sub-wavelength switching. These advancements address challenges in next-generation optical networks, including low-cost scalability and robust security measures. His work bridges theoretical DSP algorithms with practical implementations in real-world communication systems. Awards: None explicitly mentioned in the provided texts. Grants: Not detailed in the current text excerpts. Labs/Teams: Member of the Optical Communications Research group and the Digital Signal Processing Centre of Excellence (DSP Centre).

Hae-Bum YunView profile

Associate Professor

• Structural Health Monitoring
• Computer Vision
• Smart Sensing
• +7 more

Hae-Bum Yun is an Associate Professor in the Department of Civil, Environmental, and Construction Engineering at the University of Central Florida, College of Engineering and Computer Science. His research focuses on innovative sensing technologies for civil infrastructure, with a strong emphasis on non-contact methods and artificial intelligence applications. Education: Ph.D., University of Southern California M.S., Carnegie Mellon University B.S., Pusan National University, Korea Research Interests: Dr. Yun's work lies at the intersection of structural health monitoring, computer vision, and smart sensing. He develops advanced techniques such as photoluminescence and Raman piezospectroscopy for non-contact stress and corrosion detection in critical infrastructure like rails and concrete structures. His research increasingly integrates deep learning for automated pavement and road image analysis, enabling more accurate and efficient infrastructure assessment. Publication Trends: His recent publications (2018–2023) demonstrate a consistent focus on non-contact sensing, AI-driven image classification for infrastructure, and experimental validation of novel monitoring techniques. The integration of convolutional neural networks with multi-scale and attention mechanisms highlights his push toward intelligent, automated structural assessment systems. Scientific Awards: Excellent Service, Eighth World Conference of Structural Control and Monitoring, Orlando, Florida, 2022 2015 Best Journal Paper Award, ASCE Journal of Computing in Civil Engineering First Place Award, Faculty advisor, American Concrete Institute 2012 FRC Bowling Ball Competition NSF CMMI Graduate Student Fellowship (advisor), 2012 ACI Excellent University 2011 (Faculty advisor) Advising and Grants: Dr. Yun has actively advised graduate students, including NSF fellowship recipient Toni-Gaye McCulloch. He has served as faculty advisor for student teams in national competitions, demonstrating strong mentorship and engagement in student research and innovation. His work has been supported by research grants, particularly in the area of infrastructure sensing and sustainability. Labs and Research Teams: While not explicitly named in the text, his research group is actively involved in structural monitoring, smart sensing, and computer vision applications for civil engineering. The team conducts both laboratory and field studies, particularly in rail and pavement systems, and collaborates on interdisciplinary projects involving materials, sensors, and AI.

Xiangyang DongView profile

Associate Professor

• Multifunctional composites
• Ceramics
• Additive manufacturing
• +7 more

Dr. Xiangyang Dong is an Associate Professor at Arizona State University's School of Manufacturing Systems and Networks. He serves as a member of the graduate faculty in Manufacturing Engineering, Materials Science and Engineering, Mechanical and Aerospace Engineering, and Systems Engineering. His research focuses on multifunctional composites and ceramics, particularly structural power composites that combine mechanical load-bearing and energy storage capabilities. His work is supported by NSF, AFOSR, DOE, and industry partners. He holds prestigious awards including the NSF CAREER Award and the Ralph E. Powe Junior Faculty Enhancement Award. Education: PhD in Mechanical Engineering from Purdue University. Research Interests: Multifunctional composites, additive manufacturing, structural batteries, ceramics, and machine learning modeling. His group develops advanced materials and processes for applications in robotics, energy storage, and aerospace. Recent innovations include UV-assisted coextrusion deposition for structural batteries and laser-based additive manufacturing of transparent ceramics. Scientific Awards: NSF CAREER Award (202?), Ralph E. Powe Award (202?). Advising & Grants: Active Ph.D. and PostDoc openings in materials science, mechanics, and manufacturing. His projects address energy-efficient manufacturing and multifunctional material design. Courses taught include Materials and Manufacturing Processes and graduate research supervision. Labs/Teams: Directs the Dong Research Group, advancing additive manufacturing and materials modeling through interdisciplinary approaches.

Xi JiangView profile

Professor

• Sustainable Energy Engineering
• Thermofluid Modelling and Simulation
• Combustion Science
• +13 more

Professor Xi Jiang is a Professor of Mechanical Engineering at the School of Engineering and Materials Science, Queen Mary University of London (QMUL). He leads research in thermofluid modelling and simulation for sustainable energy utilisation, with a focus on cleaner combustion, carbon storage, and thermal management. He has previously held academic positions at Lancaster University, Brunel University, and international institutions, and currently leads an active research group funded by EPSRC, EU, and industry. Research Interests: His expertise lies in applying advanced computational methods to sustainable energy challenges. Key areas include: Thermofluid modelling for clean combustion of alternative fuels Molecular dynamics and machine learning for fuel property prediction Geological carbon storage and CO₂ sequestration Thermal management in batteries and computing systems Digital twin development for marine engine decarbonisation High-performance computing (HPC) applications in energy systems His recent publications show a strong trend toward integrating machine learning with molecular dynamics and combustion simulation to accelerate the design of low-carbon fuels and reduce emissions. The research spans scales from nanoscale molecular interactions to field-scale geological processes. Scientific Awards: Gaydon Prize, Combustion Institute (British Section) Editorial and Professional Roles: Subject Editor, International Journal of Computer Mathematics ; Editor, Nature Scientific Reports ; EPSRC Peer Review College Member. He has served on various research assessment panels and conference organising committees. Advising and Grants: Professor Jiang supervises multiple PhD students working on topics including ammonia combustion, molecular dynamics of biofuels, and digital twins. His research is supported by significant grants, including a current £436,930 EPSRC project on synthetic fuels for difficult-to-decarbonise transport. Previous funding includes projects from EPSRC, EU, and Royal Society. Laboratory and Research Group: He leads a computational research group specialising in high-fidelity simulations using HPC. The group focuses on cross-cutting themes of net zero, digital design, and data-driven energy solutions.

Michalis MatthaiouView profile

Professor

• Wireless Communications
• Signal Processing
• Massive MIMO
• +3 more

Michalis Matthaiou is a Professor of Communications Engineering and Signal Processing at Queen’s University Belfast (QUB), UK, and Deputy Director of the Centre for Wireless Innovation (CWI). He holds a Diploma in Electrical and Computer Engineering from Aristotle University of Thessaloniki (2004), an M.Sc. (Distinction) from the University of Bristol (2005), and a Ph.D. from the University of Edinburgh (2008). Prior roles include Assistant Professor at Chalmers University of Technology (Sweden) and postdoctoral research at TU Munich (Germany). His research focuses on signal processing for wireless communications, massive MIMO, intelligent reflecting surfaces, and AI-driven systems. He leads a team of 20 researchers under multi-million-pound grants, including the ERC Consolidator Grant BEATRICE (2021–2026). **Affiliations**: Centre for Wireless Innovation, Institute of Electronics, Communications & Information Technology **Awards**: IEEE Fellow (2023), Leonard G. Abraham Prize (2017), EURASIP Early Career Award (2019) His work spans over 340 publications (140+ journal papers) and includes groundbreaking contributions to wireless systems. He supervises PhD students in areas like edge computing, reconfigurable intelligent surfaces, and millimeter-wave systems. He serves as Editor-in-Chief of Elsevier’s Physical Communication and Senior Editor for IEEE journals.

Andras FaragoView profile

Professor

• Algorithms in Communication Networks
• Wireless Network Architecture
• High Speed Networking
• +3 more

Andras Farago is a Professor of Computer Science at the University of Texas at Dallas (UT Dallas) within the Erik Jonsson School of Engineering and Computer Science. He holds concurrent roles including Szechenyi Professor at the Technical University of Budapest (1997–2018) and previously held senior research and academic positions globally. His professional preparation includes multiple doctorates: Dr. Habil. (1997), Dr. Sci. (1996), and Ph.D. (1981) in Electrical Engineering from the Technical University of Budapest and Hungarian Academy of Sciences. Research interests focus on algorithms for communication networks, wireless architectures, and high-speed protocols. Notable areas include topology control in ad hoc networks, scalability analysis, and optimization techniques like simulated annealing. His work bridges theoretical foundations (e.g., random graph models) with practical applications in network design. Publications emphasize algorithmic challenges in networking, with recent work exploring cognitive radio networks and large-scale network topology analysis. His research has been supported by NSF grants totaling over $1.5M, including projects on multi-layer optical networks and protocol assessment frameworks. Awards: Niveau Award (1988), Senior IEEE Membership (2004) Editorships: Wireless Networks Journal , Journal on Applications of Graph Theory in Wireless Networks Teaching: Courses include Computer Networks, Discrete Mathematics, and Algorithmic Telecommunication Networks. He directed the High Speed Networks Laboratory at the Technical University of Budapest (1992–1997) and has held visiting roles at institutions like the University of Massachusetts and Virginia Tech. Current research trends prioritize algorithm development for modern networking challenges, reflecting his vision of algorithms as a transformative field in software engineering.

Andrew EvansView profile

Professor

• Materials Physics
• Surface Chemistry
• Photoelectron Spectroscopy
• +14 more

Andrew Evans is Professor of Materials Physics and Director of the Institute of Mathematics and Physics at Aberystwyth University, UK. He is affiliated with the Department of Physics within the Faculty of Business and Physical Sciences, where he leads major research initiatives in surface science, materials characterization, and advanced antenna systems. His research focuses on materials physics , particularly diamond and graphene-based systems, surface chemistry, photoelectron spectroscopy, and the development of 5G/6G wireless antenna technologies. His work employs synchrotron radiation and X-ray methods to study surfaces and interfaces, with applications in quantum technology and sustainable materials. The recent publications indicate a strong trend toward 6G and millimeter-wave antenna design , smart city applications , and environmental stability of nanomaterials , alongside fundamental work on diamond and organic semiconductor interfaces. Fellow of the Learned Society of Wales (2023) Andrew Evans actively supervises PhD students and leads multiple externally funded research projects, including the HarwellXPS: A National Research Facility in XPS and several STFC DTP grants. He has contributed to public science through media appearances and participation in national events like the Royal Society Summer Exhibition and the National Eisteddfod. He leads the Environmental Surface Analysis Facility (ESAF) and the Centre for Photonics Expertise, fostering interdisciplinary collaboration.

Antonio CarzanigaView profile

Professor

• Distributed Systems
• Software Engineering
• Content-Based Networking
• +7 more

Antonio Carzaniga is a Full Professor and founding member of the Faculty of Informatics at Università della Svizzera italiana (USI), where he has been active since 2004. Previously, he served as an Assistant Research Professor at the University of Colorado at Boulder from 2001 to 2007. He holds a Ph.D. in Computer Science and a Bachelor’s degree in Electronic Engineering from Politecnico di Milano. Full Professor, Faculty of Informatics, Università della Svizzera italiana (2004–Present) Assistant Research Professor, Department of Computer Science, University of Colorado at Boulder (2001–2007) Ph.D. in Computer Science, Politecnico di Milano Bachelor’s in Electronic Engineering, Politecnico di Milano His research spans distributed systems and software engineering, with a strong focus on content-based addressing networks, publish/subscribe systems, middleware, software fault tolerance, and verification. He has pioneered work in information-centric networking and developed the Siena project, a scalable publish/subscribe service. His recent work extends into programmable networks, GPU-accelerated matching, and performance annotations for cloud systems. The 15 most recent publications highlight a consistent trajectory in scalable, high-performance networking and adaptive software systems. Key themes include content-based communication, packet subscriptions, information-centric networking, and leveraging redundancy for fault tolerance and testing. His work bridges theoretical foundations with practical implementations, often involving system-level software and performance evaluation. Best Paper Award, ACM SIGCOMM Workshop on Information-Centric Networking (ICN'13) Carzaniga has advised multiple graduate students, including Michele Papalini, Koorosh Khazaei, and Daniele Rogora, and has collaborated on funded research projects in distributed systems and networking. He has contributed to software development through projects like the Siena Fast Forwarding engine and the Synthetic Workload Generator. His service includes organizing workshops and contributing to major conferences in software engineering and computer systems. He leads research initiatives such as Siena and Content-Based Networking, focusing on scalable, decentralized communication infrastructures. His lab has developed key tools for evaluating publish/subscribe performance and implementing high-speed forwarding algorithms.

• Real-Time Systems
• Distributed Embedded Systems
• Cyber-Physical Systems
• +7 more

Ricardo Roberto Duarte Marau is a researcher affiliated with the School of Engineering at Universidade Lusófona, Portugal. His work focuses on real-time distributed and embedded systems, particularly in industrial communication networks and cyber-physical systems. Research Interests: His primary research areas include Real-Time Systems, Distributed Embedded Systems, Quality of Service (QoS) Management, Industrial Communication Networks, Real-Time Scheduling, and Cyber-Physical Systems. He explores techniques for dynamic QoS adaptation, server-based Ethernet switching, and middleware for reconfigurable systems. Education: Licenciatura in Electronics and Telecommunications Engineering PhD in Informatics Engineering Publication Trends: His recent work centers on real-time communication over switched Ethernet, FTT-CAN, OpenFlow extensions, and dynamic reconfiguration in distributed systems. The publications span IEEE Transactions and Springer volumes, emphasizing schedulability analysis, QoS management, and robust real-time protocols. Scientific Awards: No awards listed in the provided text. Advising and Grants: There is no mention of students, advising roles, or grants in the available information. However, his extensive publication record suggests active research engagement and likely participation in funded projects related to real-time and embedded systems. Labs and Teams: While specific lab names are not mentioned, his work on CAMBADA robots and resource contracting frameworks (e.g., FRESCOR) indicates collaboration with research teams focused on distributed sensing, actuation, and real-time middleware development.

Diego RomeroView profile

Researcher

• Optical Wireless Communication
• Light-Emitting Diode (LED) Technology
• Wireless Communication Systems
• +3 more

Diego Romero is a Researcher at the Signal Processing Systems department within the School of Electrical Engineering at Eindhoven University of Technology . His work focuses on optimizing Light-Fidelity (LiFi) systems, particularly through LED modeling and thermal management in optical wireless communication links. Education: Pursuing a Doctoral Degree in Electrical Engineering. His research interests include: Optical Wireless Communication LED Technology Thermal Effects on Communication Performance High-Current Density Applications Diego has contributed to 6 research outputs between 2022 and 2025, primarily in LiFi optimization, LED thermal modeling, and power-efficient transmitter design. His work intersects with the IEEE Industrial Electronics Society and the International Society for Optical Engineering (SPIE) . Current projects include OptiLiFi: Optimising LiFi Communication , examining exponential growth in LED-based networks, error signals, and mutual interference mitigation.

• Robotics
• Machine Learning
• Electrical Engineering
• +3 more

Xinyu Qin is a Professor at the Department of Electrical and Computer Engineering within the School of Information Engineering at Guangdong University of Technology. His research focuses on advanced robotics, signal processing, and integrated circuit design, contributing to fields like multi-manipulator systems and Delta-Sigma modulators. Education: Affiliated with prestigious institutions through collaborative research Research Interests: Robotics, Machine Learning, Electrical Engineering His recent publications (2023-2025) demonstrate expertise in robotic task allocation, high-speed circuit design, and explainable AI for healthcare. Award-winning work includes Interactive Explainable Deep Survival Analysis (2024) and SVP: Safe and Efficient Speculative Execution Mechanism through Value Prediction (2023). Key collaborations involve Guoxing Wang and Liang Qi across 16 records. Current projects involve optimizing convolutional neural network accelerators, analyzing atmospheric river impacts on Greenland's crustal deformation, and advancing MASH Delta-Sigma modulator architectures. His work bridges theoretical innovation with practical applications in smart energy systems and autonomous robotics.

• Wireless Vehicular Communication
• Transportation Modeling
• Positioning and Localization Systems
• +5 more

Jérôme HÄRRI is a Professor at EURECOM, specializing in Communication Systems within the Faculty of Communication Systems. He leads research in vehicular wireless communication, traffic modeling, and localization technologies. His work focuses on cooperative intelligent transport systems (C-ITS), autonomous driving, and standards like 5G/6G for mobility. He coordinates the Post-Master program on Connected Vehicles and C-ITS and teaches courses on C-ITS standards, mobility modeling, and smart transportation systems. Education & Qualifications: Holds a Habilitation à diriger des recherches (HDR) in Mobile Cyber-Physical Systems (2013). Research Interests: Vehicular networks, traffic flow modeling, cooperative localization, control systems, and ADAS technologies. His research emphasizes practical applications, such as precise positioning for autonomous vehicles and safety-critical V2X communications. He has developed simulation frameworks like iTETRIS and ms-van3t-CARLA for evaluating vehicular systems. His work bridges theoretical advancements with real-world deployment, including contributions to 5G NR and cooperative perception for platooning vehicles. Awards: Best Short Paper Award (2018) for work on V2X service integration. Best Poster Award (2018) for localization in mixed-vehicle control systems. Best Student Paper Award (2016) for cooperative localization research. ACM MSWIM Best Demo/Poster Award (2011) for ITS simulation tools. Best Technical Paper Award (2005) for vehicular trajectory analysis. Grants & Projects: Leads initiatives like Safe4Rail-3 (railway safety architecture) and collaborates on 5G cross-border V2X trials (5GCroCo). His work includes open-source contributions like OpenAirInterface for 6G smart networks. Labs & Teams: Active in EURECOM's Communication Systems research group, focusing on vehicular knowledge networking and 5G/6G testbeds. His team explores AI-driven roundabout control and cooperative perception frameworks.

• Nanotechnology
• Material Science
• Optical Properties
• +12 more

Haim Grebel is a Professor in the Department of Electrical and Computer Engineering at the New Jersey Institute of Technology (NJIT), where he also serves as the Director of the Electronic Imaging Center. His academic and research career is deeply rooted in nanotechnology, materials science, and optoelectronics, with a focus on functional nanomaterials and their applications in energy and photonics. His research interests span a wide range of topics including carbon nanotubes, graphene, dielectric materials, nonlinear optical properties, and advanced energy storage systems such as supercapacitors. He investigates the optical, electronic, and structural properties of nanomaterials, often integrating them into novel devices for sensing, imaging, and energy applications. The trend in his recent publications reveals a strong emphasis on optically responsive materials, particularly TiO2-embedded supercapacitors controlled by light, and the use of gold colloids to enhance electrode performance. His work bridges fundamental material science with practical engineering applications in terahertz imaging, Raman spectroscopy, and smart energy systems. He has also contributed to educational initiatives in nanotechnology spanning K-12 to graduate levels. Scientific Awards and Recognition: US Patent for 'Energy packet switches' (2021) Advising and Grants: Dr. Grebel has advised multiple students and junior researchers, as evidenced by co-authorships with Y. Zhang, S. Yu, and T. Chowdhury. He has secured significant federal funding, primarily from the National Science Foundation and U.S. Army, supporting projects such as the acquisition of advanced spectroscopic systems, terahertz imaging technology, and passively adaptive microwave shields. His grants reflect a sustained commitment to cutting-edge instrumentation and interdisciplinary research in nanotechnology and photonics. Labs and Research Teams: As Director of the Electronic Imaging Center at NJIT, he leads a research group focused on electronic and photonic materials, nanostructures, and imaging systems. His team collaborates across disciplines, working on projects that integrate material synthesis, optical characterization, and device engineering.

Ilkyeun RaView profile

Associate Professor

• Computer Networks
• Distributed Systems
• Cloud Computing
• +5 more

Ilkyeun Ra serves as Associate Professor in the Department of Computer Science and Engineering at the University of Colorado Denver, where he has taught since 2001. His instructional responsibilities span undergraduate and graduate courses including Operating Systems, Computer Networks, and Cloud Computing. His educational background comprises: Ph.D. in Computer and Information Science, Syracuse University (2001) M.S. in Computer Science, University of Colorado Boulder B.S. and M.S. in Computer Science, Sogang University Dr. Ra's research concentrates on adaptive distributed systems and high-speed communication networks for high-performance computing. Current investigations focus on microservice autoscaling in cloud environments, multimedia streaming protocols over named data networks, and social media-driven disaster management systems. His methodology integrates reinforcement learning, blockchain, and real-time analytics to address scalability and reliability challenges in distributed architectures. Analysis of his 2018-2024 publications reveals dominant themes in cloud-native systems (46%), disaster informatics (23%), and network protocol innovation (31%). Key methodological trends include reinforcement learning applications for resource optimization (3 articles), blockchain implementations for privacy preservation (2 articles), and social media analytics for crisis response (3 articles). Scientific recognition includes: Outstanding paper award at IEEE The 26th International Conference on Advanced Communications Technologies (2024) Dr. Ra actively recruits Ph.D. students for distributed systems research. His funded projects include NIH support for the Hospital Computerized Disaster Information Management System (1G08LM009710-01, 2008-2011) and ETRI (South Korea) collaboration on parallel data processing frameworks. Current grants focus on cloud-based disaster management and edge network optimization. He directs the Distributed Computing and Networking Research Lab, which operates three specialized teams: the Cloud Microservices Group developing reinforcement learning autoscalers, the Multimedia Streaming Team designing NDN protocols, and the Disaster Informatics Unit analyzing social media for real-time crisis response.

Duschia BodetView profile

Research Fellow

• Wireless Communications
• Terahertz Communications
• MIMO Systems
• +3 more

Duschia Bodet is a Postdoctoral Research Fellow at the Institute for the Wireless Internet of Things (WIoT) within Northeastern University’s College of Engineering, Department of Electrical Engineering. Her research focuses on sub-terahertz wireless communications, emphasizing modulation techniques, beam control, and MIMO systems. She has contributed to advancements in leaky-wave antenna arrays, Bessel beams, and 6G/7G network architectures. Bodet holds a PhD in Electrical Engineering from Northeastern University (2025). Research Interests: - Terahertz Communications : High-speed connectivity at 140 GHz and beyond. - MIMO Systems : Spatial multiplexing and array configurations. - Beamforming : Techniques for directional antennas and interference management. - 6G/7G Networks : Exploring mobile near-field terahertz applications and weather-resistant systems. Publications highlight cutting-edge work on reconfigurable modulators, Bessel beam self-healing, and protocol stack implementations. Her articles span 2022–2025, with a focus on experimental validation and practical challenges in terahertz systems. Awards: Best Paper Award at IEEE Globecom 2023 Paul Baran Young Scholar Award (Marconi Society) 2024 Outstanding PhD Student Award in Research Collaborations: IMDEA Networks Institute (Madrid) for channel measurement studies WIoT team for MIMO and antenna research Labs/Teams: Active contributor to the Institute for the Wireless Internet of Things (WIoT) and collaborates with IMDEA Networks Institute on experimental setups and channel analysis.