جستجوی استاد راهنمای دانشگاهی

Claude D'Amoursمشاهده پروفایل

استاد

• Wireless Communications
• MIMO Systems
• CDMA
• +۷ مورد دیگر

Claude D'Amours is a Professor at the University of Ottawa's School of Electrical Engineering and Computer Science, serving as Vice Dean of Academic Affairs since 2007. He holds a B.A.Sc., M.A.Sc., and Ph.D. in Electrical Engineering from the University of Ottawa (1990–1995). His career includes roles at the Communications Research Centre (CRC) and the Royal Military College (RMC). Research interests focus on advanced wireless communication systems, including MIMO, CDMA, OFDM/SC-FDMA, and error control coding. Notable innovations include the parity bit selected spreading technique and permutation spreading for MIMO-CDMA systems. He has pioneered work in UAV-to-ground channel modeling, mmWave MIMO precoding, and physical-layer security against jamming attacks. Recent publications emphasize 5G/6G technologies, secure network design, and channel optimization in challenging environments. His work addresses critical challenges in network reliability, interference management, and spectrum efficiency. Teaching awards: 2006 John V Marsh Award and 2007 University Excellence in Teaching Award Leadership roles: Vice Dean overseeing academic affairs in the Faculty of Engineering His research spans theoretical advancements and practical implementations, with contributions to cognitive radio systems, RF fingerprinting, and underwater sonar-based activity detection. Current projects include AI-driven 3D drone deployment frameworks and low-complexity detection algorithms for overloaded CDMA systems.

• Wireless Communications
• 5G/6G Technology
• Satellite Communications
• +۳ مورد دیگر

Rahim Tafazolli is the Regius Professor of Electronic Engineering and Director of the 5G/6G Innovation Centre (5GIC/6GIC) and the Institute for Communication Systems (ICS) at the University of Surrey. He has over 30 years of experience in digital communications research and has authored/co-authored over 1,000 publications. His work focuses on 5G/6G technologies, satellite communications, reconfigurable intelligent surfaces (RIS), and semantic communication systems. He leads major initiatives such as the 5GIC and 6GIC, collaborating with industry partners like InterDigital and A*STAR. His research has been recognized with prestigious awards including the KIA Laureate Award (2015) and Fellowships from the Royal Academy of Engineering (FREng) and the Wireless World Research Forum (WWRF). Key research areas include next-generation wireless networks, quantum-based communications, and AI-driven semantic systems. Recent advancements include frameworks like ResiTok for robust image transmission and SA-MIMO for quantum-native receivers. His work on distributed hybrid beamforming in satellite networks and resilient tokenization for low-rate communication highlights his contributions to practical wireless solutions. Collaborations with institutions such as NPL and international partners ensure his research bridges academia and industry. Scientific achievements include pioneering 5G testbeds and co-developing the first UK-made end-to-end 5G system. Awards reflect his global impact in advancing communication technologies. His leadership in initiatives like the £8M academic-industry center for secure AI-era networks underscores his role in shaping future network security and efficiency.

• Wireless Communications
• Coded Caching
• Satellite Communications
• +۵ مورد دیگر

ZHAO Hui serves as a post-doctoral Research Fellow at EURECOM's Communication Systems Department, actively contributing to cutting-edge research in wireless communications. With recent publications extending through June 2025, Dr. Zhao maintains an active research profile focusing on theoretical and practical aspects of next-generation wireless systems. Dr. Zhao's research spans several interconnected domains within wireless communications, with particular emphasis on coded caching techniques , satellite communication systems , and MIMO technologies . The work demonstrates sophisticated mathematical analysis of wireless channel characteristics, with specific attention to stochastic modeling of satellite networks , physical layer security mechanisms , and resource allocation optimization . Recent publications show increasing focus on near-field communications and semantic communications , reflecting the evolution of 6G research directions. The research methodology combines theoretical analysis with practical implementation considerations, often addressing real-world constraints in wireless network design. Among notable recognitions, Dr. Zhao was selected as a Best Student Paper Finalist at the ACSSC 2021 conference, one of only eight papers chosen from the total submissions. This recognition highlights the quality and innovation of the research contributions in the field of wireless communications. Dr. Zhao actively collaborates with researchers including Dirk Slock, Petros Elia, and Antonio Bazco-Nogueras, suggesting participation in a well-established research group focusing on information theory and wireless communications. The consistent publication record across top-tier IEEE journals and conferences indicates successful grant funding and institutional support for this research line.

• Wireless Communications
• Reconfigurable Intelligent Surfaces
• Machine Learning
• +۳ مورد دیگر

Dr. Chao Xu is a Senior Lecturer at the Next Generation Wireless Research Group within the Faculty of Physical Sciences and Engineering at the University of Southampton. His work bridges cutting-edge wireless communication technologies with quantum security and machine learning advancements. PhD in Wireless Communications (University of Southampton, 2015) His research spans space-air-ground integrated networks (SAGINs), reconfigurable intelligent surfaces (RIS), and quantum key distribution (QKD). Key projects include holographic MIMO systems and OTFS modulation for THz channels, emphasizing integrated sensing and communication frameworks. Recent publications highlight innovations in optical RIS for secure QKD, near-field transceiver design, and machine learning-aided detection techniques. These works reflect interdisciplinary trends merging wireless systems with quantum cryptography and AI-driven optimization. IEEE Communications Society Best M.Sc. Student (2009) Chinese Government Award for Outstanding Self-Financed Student Abroad (2012) Dean's Award, University of Southampton (2017) MSCA Global Postdoctoral Fellowship (2023, 100/100 score) Dr. Xu supervises PhD students in wireless communications and actively contributes to the Next Generation Wireless Research Group's advancements in 6G technologies and non-terrestrial networking.

Lu Ganمشاهده پروفایل

مدرس ارشد

• Signal Processing
• Compressed Sensing
• Machine Learning
• +۱۰ مورد دیگر

Dr. Lu Gan is a Senior Lecturer in the Department of Electronic and Computer Engineering at Brunel University London, within the College of Engineering, Design, and Physical Sciences. She earned her B.Eng and M.Eng in Electronic and Information Engineering from Southeast University, China, in 1998 and 2000, followed by a Ph.D. in Information Engineering from Nanyang Technological University, Singapore, in 2004. Before joining Brunel in 2008, she held faculty positions at the University of Newcastle, Australia (2004-2006) and the University of Liverpool, UK (2006-2007). Her research spans fundamental signal processing theories, machine learning, and applications in image/video coding, non-destructive terahertz/ultrasound imaging, wireless communications, and sparse antenna arrays. Education: B.Eng (Electronic and Information Engineering), Southeast University, China (1998) M.Eng (Electronic and Information Engineering), Southeast University, China (2000) Ph.D (Information Engineering), Nanyang Technological University, Singapore (2004) Her research focuses on structured sparse signal processing for infrared/terahertz systems, super-resolution in non-destructive imaging, deep learning for terahertz data, non-orthogonal pilot design for 5G systems, and separation of singing voice from music. She has secured funding from EPSRC, Innovate UK, BBSRC, UK Atomic Energy Authority, and TWI. She actively contributes to academic service as an Associate Editor for IEEE Signal Processing Letters, IEEE Transactions on Circuits and Systems-I, and as a Meta Reviewer for ICASSP 2025. Her work has been recognized with a Best Paper Award from the Journal of The British Blockchain Association in 2022 and a Gold Medal at the IEEE Audio and Acoustic Signal Processing Challenge (DCASE) in 2022. Dr. Gan also serves as a reviewer for top journals like IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing, and participates in grant panels for the Royal Society and EPSRC. Recent publications emphasize cross-domain speech enhancement architectures, terahertz data reconstruction via spatio-temporal dictionary learning, and coprime array designs using Chinese remaindering over quadratic fields. Her work bridges compressive sensing, lattice structures, and practical applications in healthcare and communication systems. She is a Senior Member of IEEE, Fellow of the Higher Education Academy (UK), and actively contributes to departmental leadership as Course Director for MSc Wireless Communication Systems, Level 3 Coordinator, and Social Media Administrator.

• Integrated Sensing and Communication
• Wireless Communications
• Signal Processing
• +۶ مورد دیگر

Dr. Fan Jiang serves as an Associate Senior Lecturer at Halmstad University's School of Information Technology, where he leads research at the intersection of wireless communications and localization technologies. His academic profile reflects strong technical expertise in next-generation wireless systems with practical applications in vehicular networks and satellite communications. His research program focuses on integrated sensing and communication (ISAC) frameworks, with particular emphasis on: Massive MIMO and millimeter wave system design Wireless localization/synchronization algorithms Integration of sensing functionalities within communication protocols Applications for vehicular positioning and satellite networks Analysis of his 15 publications from 2022-2024 reveals consistent output in high-impact venues, with growing emphasis on satellite communications and reconfigurable intelligent surfaces. His work demonstrates strong mathematical rigor in channel modeling and algorithm design while addressing practical implementation challenges like synchronization errors and hardware constraints. Dr. Jiang maintains active research collaboration through co-authorship networks and participates in experimental validation efforts, as evidenced by his 2022 field study on 5G mmWave positioning. His technical approach balances theoretical innovation with real-world applicability across multiple wireless domains.

• Artificial Intelligence
• Smart Grids
• Renewable Energy Systems
• +۶ مورد دیگر

Md Morshed Alam is a Part-Time Lecturer at the Faculty of Engineering and Information Technology , University of Technology Sydney. He holds a B.Sc. in Electrical and Electronic Engineering from Khulna University of Engineering and Technology, an ERASMUS MUNDUS certificate in Power Systems from University do Porto, and an M.Sc. in Electronics Engineering from Kookmin University. Focuses on Artificial Intelligence integration in Smart Grids Specializes in Energy Consumption Forecasting and Renewable Energy Optimization Proficient in Python, MATLAB/Simulink , and Arduino His 15 most recent publications analyze topics like AI-driven microgrid control, drone detection systems, and air quality prediction models, with significant citations in energy storage and wireless communication domains. While no scientific awards are explicitly listed, his work spans diverse applications from Terahertz communication to IIoT security frameworks . He contributed to Wireless Communication and AI Lab projects during his time at Kookmin University.

Brian Markمشاهده پروفایل

استاد

• Communication Networks
• Wireless Communications
• Network Security
• +۶ مورد دیگر

Brian Mark is a Professor and Interim Chair of the Department of Electrical and Computer Engineering at George Mason University since 2000. His research focuses on communication networks, wireless systems, and network security. Prior affiliations include NEC Laboratories America and Télécom Paris. Education: PhD in Electrical Engineering (Princeton University, 1995), B.ASc. in Computer Engineering (University of Waterloo, 1991) Research Interests: Communication networks, 5G/6G wireless, machine learning, stochastic models, network security Awards: NSF CAREER award (2002), Outstanding Research Faculty award (2011) Editorial Roles: Associate Editor, IEEE Transactions on Vehicular Technology (2006-2009) His recent work explores dynamic spectrum sharing in 5G/6G networks, statistical inference for network performance, and security in IoT environments. He applies machine learning to wireless coexistence and object tracking, while also addressing challenges in traffic network optimization and cryptographic offloading. Scientific recognition includes the NSF CAREER award, IEEE Senior Membership, and the Volgenau School's Outstanding Research Faculty award. He has contributed to network tomography, spectrum sensing, and secure device pairing, with 15 recent publications spanning wireless design, AI security, and transportation network optimization.

• Massive MIMO
• Aeronautical Communications
• Optimization Algorithms
• +۴ مورد دیگر

Jiankang Zhang is a Senior Lecturer in Computer Science at Bournemouth University, UK. He previously held positions at the University of Southampton (Senior Research Fellow) and Zhengzhou University (Lecturer/Associate Professor). His research focuses on massive MIMO , aeronautical communications , optimization algorithms , and edge computing , with applications to UAV networks, visible light communication (VLC), and physical layer security. Education: PhD in Communication and Information Systems (Zhengzhou University, 2012), BSc in Mathematics and Applied Mathematics (Beijing University of Posts and Telecommunications, 2006) His recent work explores reconfigurable intelligent surfaces (RIS) for secure transmissions, UAV-assisted networks , and multi-agent reinforcement learning for resource allocation in NOMA-V2X systems. He contributes to IEEE journals as an Associate Editor and Guest Editor. Scientific Awards: IEEE Senior Member (2018), Outstanding Associate Editor (IEEE Access, 2020), Workshop Chair (IRSCN), Guest Editor roles His article trends emphasize 5G/6G , secure wireless communication , machine learning-aided network optimization , and UAV mobility , with a focus on balancing security vs. efficiency in next-generation networks.

• Wireless Communications
• MIMO Systems
• Signal Processing
• +۵ مورد دیگر

Jihoon Choi is a Professor in the Department of Electrical Engineering at Korea University's College of Engineering. With an extensive publication record spanning over two decades from 2000 to 2025, he has established himself as a leading researcher in wireless communications and signal processing. His work primarily focuses on MIMO systems, space-time coding techniques, and channel estimation methodologies. Choi's research interests center around advanced wireless communication techniques, particularly in next-generation wireless systems. His work spans multiple specialized areas including Space-Time Line Coding, mmWave communications, physical layer security, and intelligent reflecting surface technologies. He has made significant contributions to the development of novel precoding and combining strategies for multiuser MIMO systems, with special emphasis on rate balancing and interference management techniques. Analysis of his recent publications (2021-2025) reveals a strong research trajectory focused on space-time line coding applications across diverse scenarios including UAV systems, SAR imaging, and physical layer security. His work demonstrates a consistent pattern of innovation in wireless communications, with increasing emphasis on practical implementations for 5G/6G systems. The publications show a clear evolution from fundamental signal processing techniques to more complex system-level implementations addressing real-world challenges in wireless communications. Throughout his career, Professor Choi has maintained a highly productive research output with over 70 publications in prestigious IEEE journals and conferences. His work demonstrates strong collaboration patterns, particularly with researchers like Jingon Joung, Wonjun Lee, and Yong Hoon Lee, suggesting active participation in research groups or laboratories focused on wireless communications. His recent publications indicate ongoing research activity with multiple 2025 publications currently in process.

Nuria González-Prelcicمشاهده پروفایل

دانشیار مدعو

• Signal Processing
• Wireless Communications
• Machine Learning
• +۴ مورد دیگر

Dr. Nuria González-Prelcic is an Adjunct Associate Professor in Electrical and Computer Engineering at North Carolina State University, with office located in 2076 Engineering Building II. She received her PhD in Electrical Engineering from the University of Vigo, Spain in 2000. Previously, she served as Senior Research Scientist at UT Austin and founded the Atlantic Research Center for Information and Communication Technologies. Her research integrates: Advanced signal processing for wireless systems Machine learning applications in communications Millimeter-wave and massive MIMO technologies Integrated sensing-communication frameworks She has published extensively on mmWave vehicular systems and received the IEEE Vehicular Technology Society 2022 Best Paper Award. Her work frequently appears in premier IEEE journals and conferences.

Ramón Martínez Rodríguez-Osorioمشاهده پروفایل

استاد

• Satellite Communications
• Antenna Systems
• Signal Processing
• +۴ مورد دیگر

Ramón Martínez Rodríguez-Osorio is a Full Professor at the Polytechnic University of Madrid's School of Telecommunications Engineering, Department of Signals, Systems and Radiocommunications. Born in Madrid (1975), he holds a Telecommunications Engineering degree (1999) and completed doctoral studies at UPM. He has been actively involved in research since 1999, focusing on satellite communications, antenna array systems, and machine learning applications in communication networks. Education: Telecommunications Engineering Degree, Polytechnic University of Madrid (1999) PhD in Signals, Systems, and Radiocommunications (UPM) Research Interests: His work centers on satellite communication systems, including adaptive beamforming, antenna array calibration, and interference mitigation. He also explores machine learning for resource management in 5G/6G networks and hybrid beamforming algorithms for VHTS systems. Recent projects include constellation design for non-terrestrial networks and rain attenuation prediction using LSTM networks. Key Projects: European COST project and national/international grants (CICYT, FEDER, INDRA) FUTURE-RADIO, PROMETEO, STAR, and FAST initiatives Development of the HispaSim satellite link optimization tool Awards: Fundación Telefónica Award (2000) for best final degree project Teaching & Innovation: Contributed to hands-on educational projects like antenna design for CubeSats and MIMO-Testbed systems. Co-authored books on modeling/simulation for communication systems and 3G UMTS technologies. Supervised multiple academic activities including thesis and MOOC development. Labs & Teams: Leads research in the LEHA (Laboratorio de Enlace Hiperfrecuencia y Antenas) lab, focusing on satellite link analysis, antenna measurement systems, and 5G terminal testing. Collaborates with industry partners like INDRA on applied research.

• Terahertz (THz) Technology
• Millimeter-Wave Communications
• Plasma-Based Detectors
• +۱۲ مورد دیگر

Marco Alexandre dos Santos Ribeiro is an Assistant Professor in the Department of Information Science and Technology (ISTA) at ISCTE – Instituto Universitário de Lisboa, and an Integrated Researcher at the Institute of Telecommunications – IUL, where he contributes to the Radio Systems Group. His academic and research activities are centered on advanced wireless communications, terahertz technology, metamaterials, and computational electromagnetics. PhD in Electrical and Computer Engineering, Instituto Superior Técnico (IST), University of Lisbon (2011) Master’s in Electrical and Computer Engineering, IST (2005) Bachelor’s in Electrical and Computer Engineering, IST (2003) His research interests span Terahertz (THz) and millimeter-wave systems , plasma-based detectors , reconfigurable intelligent surfaces , 5G/6G communications , and numerical methods in electromagnetics . He applies these to applications in structural health monitoring, stand-off imaging, and UAV communications. His recent publications reveal a strong focus on hybrid precoding for massive MIMO, THz sensor design, and Monte Carlo modeling of electromagnetic phenomena. His recent work shows a trend toward optimizing next-generation wireless systems using intelligent surfaces and low-cost THz detection, with integration into UAVs and terrestrial networks. He has contributed to journals such as Applied Sciences , Sensors , Photonics , and IEEE publications. His scientific awards are not listed in the provided text. He has supervised one doctoral thesis and nine master’s dissertations, with topics ranging from 6G networks and THz transceivers to UAV control and EOG-based human-computer interfaces. He has been involved in research projects such as GDD-THZ, TopMater, TRAP, and SAAS, focusing on THz detection, topological materials, open resonators, and semi-autonomous aerial surveillance. He also serves as the 1st Year Coordinator for the Bachelor’s in Telecommunications and Computer Engineering, demonstrating leadership in academic management. He is affiliated with the Radio Systems Group at the Institute of Telecommunications – IUL, a research unit dedicated to advancing wireless technologies and electromagnetic systems.

Pengcheng Liuمشاهده پروفایل

مدرس ارشد

• Robotics
• Bio-inspired Robotics
• Soft Robotics
• +۱۴ مورد دیگر

Pengcheng Liu is an Associate Professor (Senior Lecturer) in Robotics and Applied Control at the Department of Computer Science, University of York, UK. He has previously held academic positions at Cardiff Metropolitan University, University of Lincoln, Bournemouth University, and visiting roles in China. He is a member of IEEE and IFAC, and serves on several IEEE Technical Committees related to robotics and automation. PhD in Robotics and Control MSc in Control Theory and Control Engineering BEng in Measurement Control and Instrumentation His research focuses on the convergence of robotics and biology, particularly in bio-inspired design, soft robotics, human-robot collaboration, rehabilitation, and embodied AI. He explores how biological systems can inform adaptive, resilient, and energy-efficient robotic systems. His work spans modeling animal/human motion, sensory-motor learning, morphological design, and control optimization. The 15 most recent publications reflect a strong interdisciplinary trend combining robotics, control theory, machine learning, and biomedical applications. Key themes include soft robotics, bio-inspired actuators, motion planning, rehabilitation systems, and wireless communication for robotic systems. The research integrates simulation, hardware prototyping, and intelligent control, often using ROS and Gazebo. Global Peer Review Awards — Top 1% in Cross-Field (2019) Global Peer Review Awards — Top 1% in Engineering (2019) Outstanding Associate Editor of 2020, IEEE Access Outstanding Contribution Awards, Elsevier (2017) Dr Liu has extensive experience in securing and managing research grants from EPSRC, Innovate UK, Horizon 2020, Erasmus Mundus, FP7-PEOPLE, HEIF, NHS I4I, and NSFC. He serves as a regular reviewer for around 30 journals and 8 flagship conferences in robotics, AI, and control. He is an Associate Editor for IEEE Access and Academic Editor for PeerJ Computer Science, and has contributed to special issues on computational learning for robotics. He leads research in bio-inspired robotics and advises PhD students in areas such as lifelong learning machine intelligence, soft robotics, motion planning, and cyber-physical systems. He is actively recruiting motivated PhD candidates with backgrounds in engineering, computer science, or applied mathematics.

• Wireless Communications
• Sparse Signal Recovery
• Communication Systems
• +۴ مورد دیگر

Ashok BANDI is a Researcher at the Signal Processing & Satellite Communications group (SIGCOM) within the Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg. His research focuses on Sparse Signal Recovery and Wireless Communications, particularly in structured sparsity modeling and signal recovery in communication systems. Education: Master’s degree from National Institute of Technology (NIT Trichy), India (2012). Research Interests: Design of physical layer systems for WLAN standards (802.11a/n/ac). Development of efficient algorithms for structured sparse signal recovery in satellite and wireless communication systems. Integration of sparsity principles into on-board beamforming for high-throughput satellite systems. Advisors: Prof. Björn Ottersten and Dr. Bhavani Shankar MYSORE RAMA RAO. Labs/Teams: Part of the Signal Processing & Satellite Communications (SIGCOM) research group led by Prof. Björn Ottersten.