جست‌وجوی استاد و پژوهشگر

Vibhutesh Kumar Singhمشاهده پروفایل

مدرس

• Signal Processing
• Wireless Communication
• Embedded Systems
• +۳ مورد دیگر

Dr. Vibhutesh Kumar Singh is an Assistant Lecturer in Electronic Engineering at South East Technological University (SETU) since January 2024. Previously, he worked as a Product Development Engineer at Intel Corporation and held academic positions during his PhD studies at University College Dublin (UCD). He holds a BTech from Vellore Institute of Technology (2014), an MTech from IIIT-Delhi (2016), and a PhD in Electrical and Electronic Engineering from UCD (2021). His research focuses on signal processing, wireless communication, embedded systems, and applied machine learning in resource-constrained environments. He has developed methodologies for channel estimation in FBMC-OQAM and OTFS systems, IoT-based monitoring solutions, and neural network deployment on low-RAM devices. Education: PhD in Electrical and Electronic Engineering, University College Dublin (2016–2021) MTech in Electronics and Communications Engineering, IIIT-Delhi (2014–2016) BTech in Electronics and Communication Engineering, Vellore Institute of Technology (2010–2014) Research Interests: Dr. Singh specializes in optimizing communication systems through advanced signal processing techniques. His work includes developing machine learning frameworks for embedded systems, designing efficient channel estimation algorithms, and creating IoT solutions for healthcare and infrastructure monitoring. He is particularly interested in TinyML applications for low-power, edge computing devices. Awards: Best Paper Award (Runner-Up), 2022 IEEE ComSoc Student Travel Grant, 2020 Intel MPE Division Recognition Awards (2023) Teaching & Professional Activities: Dr. Singh currently teaches courses on control systems, programming, and robotics at SETU. He has organized IEEE conferences and serves on the IEEE Professional Body. His work aligns with UN SDGs for sustainable innovation and education. Labs & Teams: He contributes to research teams focused on wireless communication testbeds and embedded system development at SETU and UCD.

• Electrical & Electronics Engineering
• Radar Signal Processing
• Waveform Design
• +۳ مورد دیگر

Dr. Mohammad ALAEE is a Researcher at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), specifically within the SPARC department. His research focuses on radar signal processing, waveform design, and optimization theory, with applications in automotive, medical, and communication systems. He has conducted research stays in Italy and speaks French and English fluently. His work emphasizes the development of advanced radar technologies, including MIMO radar systems, interference mitigation techniques, and waveform optimization for spectral efficiency. He has contributed to projects such as contactless vital sign monitoring using radar, automotive radar coexistence with communications, and 4D imaging radar for high-resolution applications. His publications highlight trends in radar-communication integration, waveform design for medical and automotive systems, and adaptive signal processing techniques. He has also explored hardware prototyping and simulation tools for radar systems, demonstrating practical implementations of his theoretical contributions. Dr. ALAEE's research bridges theoretical advancements with real-world applications, addressing challenges in modern radar systems' performance and integration. While no specific awards or grants are listed, his extensive publication record underscores his expertise in radar engineering and signal processing.

• 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.

• Signal Processing
• Sensor Engineering
• Graph Neural Networks
• +۴ مورد دیگر

G.J.T. Leus is a Professor at Delft University of Technology's Faculty of Electrical Engineering, Mathematics and Computer Science, where he leads research in the Signal Processing Systems department. His work spans foundational algorithms and applied systems across wireless communications, medical imaging, and network analysis. With over 498 research outputs including journal articles, conference papers, and patents, he maintains an active research program in cutting-edge signal processing methodologies. Research interests focus on: Signal Processing Systems : Advanced algorithms for spectral estimation, array design, and sensor optimization Computational Imaging : Ultrasound techniques for medical diagnostics including carotid artery visualization Graph-Based Methods : Graph neural networks for localization and topology identification Wireless Technologies : OTFS modulation, MIMO systems, and phased array design Recent publications (2023-2025) demonstrate strong emphasis on: Integration of deep learning with tensor decompositions for channel estimation Fundamental limits in estimation theory using Cramér-Rao bound frameworks Topological signal processing extensions to simplicial complexes Computational imaging innovations for medical ultrasound Academic leadership includes editorial roles for the Eurasip Journal on Advances in Signal Processing , keynote presentations at major conferences (e.g., Asilomar 2023), and supervision of graduate researchers. Current projects involve multi-sensor systems for network localization, ultrasound imaging with limited transceivers, and robust graph neural architectures.

Stephen Hanlyمشاهده پروفایل

استاد

• Wireless Communications
• Millimeter Wave Networks
• UAV Communications
• +۳ مورد دیگر

Stephen Hanly is a Professor in the School of Engineering at Macquarie University, specializing in Electrical and Electronics Engineering. He serves as Discipline Lead for the Electrical and Electronics Engineering teaching program and is part of the School's leadership team. His research is centered at the Future Communications Research Centre and Advanced Drone Systems Research Centre. His research focuses on next-generation wireless communications systems, with primary expertise in millimeter wave networks, UAV communications, satellite IoT systems, and beamforming technologies. Key investigation areas include distributed data collection using rechargeable UAVs, LEO satellite communications for IoT, millimeter wave beam alignment algorithms, and delay-Doppler domain waveforms for high-mobility scenarios. His work bridges theoretical communication theory with practical implementation challenges in dense wireless environments. His recent publication trends demonstrate strong emphasis on 6G-enabling technologies, particularly UAV trajectory optimization for IoT data harvesting, LEO satellite terminal protocols, and millimeter wave beam acquisition techniques. These works consistently address scalability challenges in ultra-dense networks while maintaining quality-of-service guarantees. IEEE Fellow INFOCOM Best Paper Award IEEE Information Theory Society and IEEE Communication Society Joint Paper Award IEEE Communications Society Tutorial Paper Award Professor Hanly actively supervises PhD students and postdoctoral researchers, with current projects including DP23: Enabling wide area mm-wave mobile broadband networks and LP20: Scaling Up Satellite Communications for the Internet of Things. His industry collaborations include the CSIRO Macquarie University Chair in Wireless Communications and the Macquarie University WiMed Research Centre. His research group develops novel algorithms for resource allocation, beam management, and network optimization in heterogeneous wireless environments. He leads the Future Communications Research Centre and Advanced Drone Systems Research Centre, focusing on practical implementations of theoretical communication models. Current research directions include UAV swarm coordination for wide-area coverage, LEO satellite IoT protocols, and millimeter wave beam alignment for mobile users in urban environments.

• Wireless Communication
• Signal Processing
• Information Theory
• +۳ مورد دیگر

Rong-Rong Chen is an Associate Professor in the Department of Electrical & Computer Engineering at the University of Utah's College of Engineering, where she has been employed since August 2003, progressing from Assistant Professor (2003-2011) to her current position (2011-present). Her educational background includes a BS in Applied Mathematics from Tsinghua University (1994), an MS in Mathematics from the University of Illinois at Urbana-Champaign (1996), and a PhD in Electrical Engineering from UIUC (2003). Dr. Chen's research focuses on wireless communication systems , with particular expertise in underwater acoustic communication, signal processing, information theory, and queueing networks. Her work bridges theoretical foundations with practical applications in modern communication systems. Her recent publication on OTFS and OFDM channel estimation demonstrates her continued contribution to advancing wireless communication technologies, particularly in comparing next-generation modulation schemes. Best Paper Award, IEEE Global Communications Conference (2021) NSF Faculty Early Career Development (CAREER) award (2006) University Fellowship for graduate study at UIUC M. E. Van Valkenburg Graduate Research Award for excellence in doctoral research at UIUC Dr. Chen has secured significant research funding including current projects on decentralized intelligent spectrum sharing in UAV networks (SWIFT/DISH-UNET), smart radio environments with reconfigurable intelligent surfaces (REFLECT-MMWAVE), and improving MRI technology through signal processing. She teaches courses including Engineering Probability & Statistics, Information Theory, and thesis research for PhD students.

• Wireless Communications
• Integrated Sensing and Communications (ISAC)
• Millimeter-wave Systems
• +۷ مورد دیگر

Kai Wu is an Associate Professor at Xidian University's School of Electronic Engineering, working within the MOE Key Laboratory of Intelligent Perception and Image Understanding in Xi'an, China. His research spans wireless communications, integrated sensing and communications (ISAC), and signal processing, with a particular focus on millimeter-wave systems, radar signal processing, and MIMO technologies. He maintains strong collaborative ties with international researchers, particularly with J. Andrew Zhang, Y. Jay Guo, and Xiaojing Huang from institutions including University of Technology Sydney. Dr. Wu's research interests center on the integration of communication and sensing technologies, with significant contributions to frequency-hopping MIMO radar-based communications, angle-of-arrival estimation, and RIS-assisted ISAC systems. His work addresses critical challenges in wireless communications including spectrum efficiency, channel modeling in complex environments, and the development of energy-efficient communication systems. Recent research has expanded into transformer-based deep learning approaches for signal processing applications and the application of magnetic particle spectroscopy in biomedical contexts. Analysis of Dr. Wu's publication record reveals a strong focus on practical implementations of theoretical concepts, with numerous experimental validations of proposed communication and sensing techniques. His work demonstrates a clear progression from fundamental signal processing techniques to integrated communication-sensing systems, with increasing emphasis on RIS-assisted technologies and machine learning applications in recent years. The interdisciplinary nature of his research spans telecommunications engineering, signal processing, and biomedical applications. Dr. Wu has established himself as a leading researcher in the field of integrated sensing and communications, with over 40 publications in top-tier IEEE journals and conferences. His collaborative network includes prominent researchers in wireless communications, and he serves as a frequent reviewer for major IEEE publications in his field. While specific grant information isn't detailed in the available records, his extensive publication output suggests successful funding from national research programs in China.

• Wireless Communication
• Machine Learning
• Signal Processing
• +۳ مورد دیگر

Michel Kulhandjian is a researcher specializing in Wireless Communication and Machine Learning applications. His work spans NOMA Systems , RF Fingerprinting , and Drone-Assisted Sensing across academic institutions. Key collaborations with Carleton University , Carleton University , and University of Ottawa researchers Active in 5G/6G technologies and IoT Security since 2018 His recent articles focus on: 2024 : Pedestrian detection, drone-based tree health monitoring, and industrial IoT security 2025 : AI-powered agricultural robotics Scientific contributions include: Code design for OTFS-NOMA systems Low-complexity detection algorithms 3D CNN frameworks for signal analysis RF Fingerprinting under impaired channels

• NOMA Systems
• Cooperative Communications
• Relay Networks
• +۵ مورد دیگر

İnci Umakoğlu is an Assistant Professor at the Department of Electrical and Electronics Engineering, Faculty of Engineering, Kutahya Dumlupınar University. She holds a PhD in Electrical-Electronics Engineering from Dumlupınar University (2017–2024) and has over 10 years of academic experience as a Research Assistant and faculty member. Her research focuses on NOMA systems, cooperative communications, satellite design, and autonomous UAV development. She actively advises student research projects supported by TÜBİTAK and leads initiatives in analog/digital communications and measurement laboratory operations. Education: Bachelor's in Electronics and Communication Engineering (Kocaeli University, 2009–2014) Master's in Electrical-Electronic Engineering (Dumlupınar University, 2015–2017) PhD in Electrical-Electronics Engineering (Dumlupınar University, 2017–2024) Her research interests include 5G/6G antenna design, deep learning-enhanced signal processing, and IoT integration in smart transportation systems. She has published extensively on NOMA systems, UAV-assisted networks, and OTFS modulation techniques. Currently teaches Analog Communication and Advanced Professional English in the undergraduate curriculum. She leads multiple projects including satellite telemetry systems, autonomous blood delivery UAVs, and low-altitude defense systems. Holds IEEE and ACES memberships, and coordinates Erasmus+ student exchange programs.

Mustafa Namdarمشاهده پروفایل

دانشیار

• Integrated Sensing and Communication (ISAC)
• Reconfigurable Intelligent Surfaces (RIS)
• Cognitive Radio Networks (CRNs)
• +۳ مورد دیگر

Assoc. Prof. Dr. Mustafa Namdar holds an academic position at Kütahya Dumlupınar University's Faculty of Engineering, Department of Electrical-Electronics Engineering. His research focuses on advanced communication systems including Integrated Sensing and Communication (ISAC), Reconfigurable Intelligent Surfaces (RIS), and Non-Orthogonal Multiple Access (NOMA). He has led 11 projects funded by institutions like TUBITAK and the Turkish Presidency of Defense Industries (SSB). His work spans 83 publications, including peer-reviewed journal articles and conference proceedings. Notable achievements include the IEEE ELECO 2024 Best Paper Award and multiple TÜBİTAK publication incentives. Education: PhD in Electronics and Communication Engineering from Yıldız Technical University (2006–2014) Research Interests: 6G Communication Technologies AI-driven Network Optimization Unmanned Aerial Vehicle (UAV) Communication Systems Wireless Security and Privacy Grants & Awards: Overseen 23 projects totaling €1.2M Recipient of Elsevier's Recognized Reviewer Status (2015–2021) Labs & Teams: Collaborates with the 6G Platform at Istanbul Medipol University and the Information and Communications Research Group (ICRG) at ITU.

Xuemin Shenمشاهده پروفایل

استاد

• 6G Networks
• AI-Driven Communications
• Digital Twin Technology
• +۵ مورد دیگر

Xuemin (Sherman) Shen is a University Professor at the University of Waterloo, specializing in advanced communication systems and AI-driven network optimization. His research focuses on 6G networks, digital twin technology, vehicular systems, and generative AI applications in wireless communications. He leads initiatives in edge computing, federated learning, and secure physical layer communications. Key research areas include 6G architecture design, intelligent transportation systems, and AI integration into network management. His work bridges theoretical advancements with practical implementations in areas like OTFS modulation, MIMO equalization, and hybrid-field antenna systems. Recent projects emphasize digital twin frameworks for network orchestration, immersive communications via edge computing, and trustworthy semantic communication systems. His contributions span both foundational studies and applied solutions in wireless security, distributed learning, and terahertz communication systems.

• Wireless Communications
• Telecommunications
• Signal Processing
• +۳ مورد دیگر

Prof. Rob Maunder is a Professor of Electronics & Computer Science at the University of Southampton. He holds a BEng (First Class Honours) in Electronic Engineering (2003) and a PhD in Telecommunications (2007). His research focuses on joint source/channel coding, wireless communication algorithms, and hardware implementations. He leads projects funded by EPSRC and the Royal Society, including work on 5G non-terrestrial networks and reconfigurable intelligent surfaces. Rob is the founder and CTO of AccelerComm Ltd, commercializing his research via soft-IP solutions. He has held roles from Lecturer (2007) to Professor (2017), and is a Chartered Engineer (IET), IEEE Senior Member, and IET Fellow. His work spans MIMO systems, iterative receivers, and deep learning applications in communications. Key honors include Fellowships from the IET (2017) and Higher Education Academy (SFHEA). He supervises PhD students, such as Arumjeni Mitayani, and collaborates with industry partners like Thales. Current research emphasizes energy-efficient wireless networks, next-gen modulation techniques, and hardware-software co-design.

• 5G and Beyond Radio Access Networks
• Mobility Management
• Over-the-Air Computation
• +۳ مورد دیگر

Dr. Semiha Tedik Basaran is an Assistant Professor in the Department of Electronics and Communication Engineering at Istanbul Technical University (ITU), where she has held this position since 2020. Previously, she was a Researcher at Ericsson (2019–2020), focusing on 5G/6G radio networks, and a Research Assistant at ITU (2012–2019). She also held visiting researcher roles at RWTH Aachen University (2017) and Alexander Technological Educational Institute of Thessaloniki (2018). Her research focuses on 5G/6G radio access networks , including mobility management , over-the-air computation , random network coding , and non-terrestrial networks . She has contributed to projects on 5G private networks, denial-of-service attacks, and secure communication protocols. Her work emphasizes practical implementations, including software-defined radio prototyping and hardware design. Education: B.Sc. in Electronics and Communication Engineering (Ranked 2nd, ITU, 2011) M.Sc. and Ph.D. in related fields (not explicitly stated, inferred from roles and awards) Dr. Basaran has received prestigious awards, including the IEEE Turkey Best PhD Dissertation Award (2019), Istanbul Technical University Best PhD Dissertation Award , and TUBITAK scholarships. She holds multiple patents on secure communication systems, network coding, and failure prediction algorithms. Her recent work explores terahertz networks , satellite-aided relaying , and AI-driven edge computing . She teaches Communications I and Mobile Communication Systems at the undergraduate and graduate levels, respectively.

• Integrated Sensing and Communication (ISAC)
• Vehicular Networks
• Cognitive Radio Networks
• +۵ مورد دیگر

Wei Liang is a researcher affiliated with Northwestern Polytechnical University , Lancaster University , and University of Southampton . His work spans wireless communication systems, with a focus on integrated sensing and communication (ISAC) , NOMA (Non-Orthogonal Multiple Access) , and UAV-assisted mobile networks . Research Interests : Designing intelligent resource allocation algorithms, secure transmission mechanisms, and cooperative communication frameworks for next-generation networks. Collaborative Focus : Frequent collaborations with Zhu Han , Soon Xin Ng , and Ang Gao on 5G/6G-enabled systems. Recent publications (2024-2025) emphasize predictive beamforming in ISAC systems, multi-UAV optimization , and deep reinforcement learning for spectrum sharing. Trends include OTFS modulation for Doppler mitigation, heterogeneous multi-agent learning , and optimal transport theory for UAV networks.

• Next-generation wireless transmissions
• Quantum communications and detection
• Channel coding and modulation
• +۷ مورد دیگر

Professor Michael Ng is an academic at the University of Southampton's School of Electronics and Computer Science. He holds a professorship in Next Generation Communications and actively supervises PhD students in fields related to wireless technologies and quantum communications. Education: B.Eng. in Electronic Engineering (First Class), University of Southampton (1999) Ph.D. in Telecommunications, University of Southampton (2002) Research Interests: His work spans next-generation wireless transmissions, quantum communications, channel coding, MIMO systems, cooperative communications, and machine learning applications in communications. He leads cutting-edge research in quantum error correction and hybrid wireless-optical systems. Scientific Contributions: Principal Investigator for EPSRC-funded Cooperative Classical and Quantum Communications Systems Co-Investigator in multiple European projects (SCOUT, NEWCOM, PHOENIX, OPTIMIX, CONCERTO) Co-authored over 260 papers and two IEEE Press books Awards: Dean’s Award for outstanding contributions in scientific publications (2013) Leadership Roles: He has served as EEE Programme Leader (2018-2021) and currently directs the ECS Doctoral Programme. He also chairs the IEEE Quantum Communications & Information Technology Emerging Technical Subcommittee.