جست‌وجوی استاد و پژوهشگر

John Fonsekaمشاهده پروفایل

استاد

• Communication Theory
• Modulation & Coding
• Coded Modulation
• +۶ مورد دیگر

John Fonseka is a Professor of Electrical Engineering at the University of Texas at Dallas (UT Dallas), affiliated with the Erik Jonsson School of Engineering and Computer Science. He holds a Ph.D. in Electrical Engineering from Arizona State University (1988), an M.Eng. from Memorial University of Newfoundland (1985), and a B.Sc. from the University of Moratuwa, Sri Lanka (1980). His research focuses on communication theory , particularly in modulation and coding , with emphasis on bandwidth-efficient techniques and throughput enhancement. Key areas include coded modulation, error control coding, channel capacity calculations, and transmission over fading channels. He has explored topics such as quadrature multiplexed CPM, trellis-coded modulation with adaptive constellations, and capacity analysis in Nakagami- and Rician-fading environments. Notable contributions include work on CPFSK error reduction, noncoherent detection strategies, and OFDM applications. His publications span IET Communications , IEEE Transactions on Communications , and Electronics Letters , reflecting expertise in both theoretical and applied signal processing. Fonseka’s academic profile reflects over three decades of contributions to reliable communication systems, with a focus on optimizing performance in challenging channel conditions.

Fan Yangمشاهده پروفایل

استادیار مدعو

• Networking Protocols
• Internet Architecture
• Telecommunications
• +۳ مورد دیگر

Fan Yang is an Adjunct Assistant Professor at Boston University and the lead of Google’s networking protocol team. He specializes in internet architecture and protocol engineering, notably driving Google’s industry-first deployment of HTTP/3 over QUIC, which significantly improved latency for Google services. His research focuses on optimizing network protocols, satellite communications, and OFDM systems. Education: PhD in Computer Science from the University of Delaware (2015), where he worked in Professor Paul D. Amer’s Protocol Engineering Lab. Research Interests: Developing scalable internet protocols, enhancing TCP and multipath TCP performance, and applying advanced signal processing techniques to wireless communication challenges. His work bridges theoretical protocol design with real-world internet-scale deployment. Key technical contributions include QUIC protocol specifications, non-renegable selective acknowledgments (NR-SACKs), and channel estimation methods for OFDM systems. His publications span topics from HTTP/3 implementation to satellite-based TCP optimizations. Labs/Teams: Previously associated with the Protocol Engineering Lab at University of Delaware. Currently leads Google’s networking protocol team responsible for cutting-edge internet infrastructure projects.

Muhammad Usman Ilyasمشاهده پروفایل

استادیار

• Computer Science
• Machine Learning
• Artificial Intelligence
• +۷ مورد دیگر

Dr. Muhammad Usman Ilyas is an Assistant Professor in the School of Computer Science at the University of Birmingham, Dubai, UAE. He previously held academic positions at the University of Jeddah and the National University of Sciences and Technology (NUST), Islamabad. His expertise lies in computer science, networking, and artificial intelligence, with a focus on practical and societal applications. Education: Ph.D. in Electrical Engineering, Michigan State University, USA (2009) M.S. in Electrical Engineering, Michigan State University, USA (2007) M.S. in Computer Engineering (Dean’s List), Lahore University of Management Sciences (LUMS), Pakistan (2005) B.E. (Honors) in Electrical Engineering, National University of Sciences & Technology (NUST), Pakistan (1999) His research interests span Machine Learning, Artificial Intelligence, Internet of Things (IoT), Network Security, Wireless Networks, Data Science, and Smart Cities . He integrates these areas into applications in healthcare, urban systems, and education. His recent publications demonstrate a strong trend in applying deep learning to medical diagnostics and enhancing cybersecurity in modern networks. His work also explores educational robotics and data-driven public health analysis. Scientific Awards: No awards explicitly mentioned. Dr. Ilyas has served as a Postgraduate Program Director and has advised students through research publications, though formal student names are not listed. He has contributed to research grants and projects, particularly in IoT infrastructure and network modeling, as reflected in his publications. He has also taught modules in AI, data science, security, and mathematical foundations of computing. Labs and Teams: While specific lab names are not mentioned, his research collaborations and publication topics suggest involvement in teams focused on AI, networking, and IoT systems, likely within the School of Computer Science at the University of Birmingham Dubai.

• Applied Optimization
• Wireless Internet of Things
• Machine Learning
• +۶ مورد دیگر

Carlo Fischione is a Full Professor at KTH Royal Institute of Technology in the School of Electrical Engineering and Computer Science, Division of Network and Systems Engineering, Stockholm, Sweden. He is a Fellow of IEEE, KTH Digital Futures, and the Italian Academy DASP, and a Distinguished Lecturer of the IEEE Communications Society. He holds a PhD and Laurea (Summa cum Laude) in Engineering from the University of L’Aquila, Italy, and has held research positions at MIT, Harvard, and UC Berkeley. PhD in Electrical and Information Engineering, University of L’Aquila (2005) Laurea in Electronic Engineering, Summa cum Laude, University of L’Aquila (2001) His research focuses on applied optimization, wireless Internet of Things, and machine learning , with particular emphasis on federated learning, over-the-air computation, and spectrum sharing in 5G/6G networks. He leads a vibrant research group and has supervised numerous PhD and postdoctoral researchers, many of whom now hold faculty or senior research positions globally. His recent publications reflect a strong trend toward machine learning in distributed and resource-constrained networked environments , especially focusing on communication efficiency, privacy, and scalability. Key themes include federated learning over fading channels, over-the-air computation, and AI-aided wireless channel prediction. IEEE Fellow IEEE Distinguished Lecturer, Communications Society IEEE Communication Society S. O. Rice Award (2018) Best Paper Award, IEEE Transactions on Industrial Informatics (2007) Starting Grant, Swedish Research Council (2008) Prof. Fischione has advised numerous students who have gone on to prominent academic and industry roles. He has secured significant research funding from the Swedish Research Council, SSF, KAW Foundation, Vinnova, and EU Horizon programs, leading projects such as MALEN, SAICOM, TAIRCOMP, and WIDCOMP. He is also the founding General Chair of IEEE ICMLCN and a co-founder of ELK.Audio, demonstrating strong industry and innovation engagement. He leads multiple research initiatives and labs focused on networked machine learning, including groups working on federated learning, wireless AI, and edge intelligence. His team actively contributes to advancing the theoretical and practical foundations of machine learning over networks.

Samuel Shueمشاهده پروفایل

استادیار

• Robotics
• Embedded Systems
• Wireless Sensor Networks

Samuel Shue is a Teaching Assistant Professor in the Department of Electrical and Computer Engineering at the University of North Carolina Charlotte. His research focuses on Robotics, Embedded Systems, and Wireless Sensor Networks, with a particular emphasis on RSSI localization techniques and wireless communication frameworks. Ph.D., University of North Carolina Charlotte, 2017 M.Sc., University of North Carolina Charlotte, 2015 B.Sc., University of North Carolina Charlotte, 2014 Shue's research explores the intersection of robotics and wireless sensor networks, including: Signal processing for localization accuracy XBee-based communication protocols Portable embedded system frameworks Procedural simulation environments His publications (2013-2017) demonstrate expertise in Kalman filter applications, wireless mesh networking, and open-source development platforms. Key collaborations include James M. Conrad and Andrew R. Willis. For direct contact, email slshue@charlotte.edu or call 704-687-5885.

• Wireless Communications
• Wireless Propagation Mechanisms
• Wireless Networks
• +۵ مورد دیگر

Pamela Njemcevic is an Assistant Professor at the University of Sarajevo, affiliated with both the Faculty of Electrical Engineering and the Faculty of Transport, Traffic and Communications. She holds a Ph.D. from the University of Sarajevo (2016) and has been actively involved in research and teaching since 2006. Her research focuses on wireless communications, propagation mechanisms, and network technologies, with notable contributions to fading models, SDN architectures, and OFDM systems. Education: Bachelor's degree in Electrical Engineering (2006) Master's degree (2011) Ph.D. (2016) Research Interests: Wireless propagation mechanisms LPWAN and IoT technologies Software-Defined Networking (SDN) OFDM system optimization Quantum cryptography in 5G Publications reflect expertise in fading channel modeling, SDN performance, and wireless system design. Her work bridges theoretical analysis and practical network implementations. Collaborations include projects on TETRA systems and in-service testing of OFDM error floors. Advising and Grants: Pamela has contributed to multiple research projects, though specific grants or advisees are not listed. Her work emphasizes applied research with industry relevance.

Jelena A. Anastasovمشاهده پروفایل

استادیار

• Wireless Communications
• Fading Channels
• Physical Layer Security
• +۵ مورد دیگر

Jelena A. Anastasov is an Assistant Professor at the Department of Telecommunications, Faculty of Electronics, University of Niš, Serbia. She has been actively contributing to research and education in the field of wireless communications since earning her PhD in 2014 from the same institution. PhD in Telecommunications, Faculty of Electronics, University of Niš (2014) Bachelor's in Telecommunications, Faculty of Electronics, University of Niš (2006) Her research interests center on wireless communication systems , with a focus on fading channels, physical layer security, outage analysis, and interference mitigation. She has made significant contributions to the modeling of extended generalized-K fading, UAV-assisted communication, and SWIPT systems. Her work bridges theoretical analysis with practical applications in emergency and industrial wireless systems. The recent articles highlight a strong trend in secure and reliable wireless communications under challenging channel conditions. Topics include UAV-based energy and data transfer, physical layer security in WSNs, and robust filter design. The publications span top IEEE journals and reflect interdisciplinary work involving signal processing, cybersecurity, and system design. Prof. Dr. Ilija Stojanović Award (2022/2023) for scientific contribution in telecommunications Best Graduate Student of the 2001/2002 Generation, Faculty of Electronics Best Student at Faculty of Electronics, Academic Year 2005/2006 Jelena A. Anastasov has participated in 4 national and 5 international research projects, including involvement in COST project IC1101 on Optical Wireless Communications. She has been part of the Erasmus+ exchange program at the University of Vigo, Spain. She has authored or co-authored 102 scientific papers, including 30 in international journals with impact factor, and co-authored a textbook and a book of international importance. She serves as a reviewer for major IEEE journals including IEEE Transactions on Communications and IEEE Photonics Technology Letters, and is a member of IEEE. She is actively involved in research within the Telecommunications Department at the Faculty of Electronics, collaborating on national and international projects related to next-generation wireless systems, and contributing to academic training and curriculum development, including participation in the 'Study in Serbia' initiative.

• Antennas
• Metamaterials
• Frequency Selective Surfaces (FSS)
• +۷ مورد دیگر

Associate Professor Wayne Rowe is an academic at RMIT University's School of Engineering, specializing in Electrical and Computer Engineering. He holds the rank of Associate Professor and has been with RMIT since 1998, progressing through roles including Research Fellow, Lecturer, and Senior Lecturer. His primary affiliations are within the School of Engineering's Electrical and Computer Engineering department. Research interests focus on antennas, metamaterials, frequency selective surfaces (FSS), and their integration with flexible materials. His work spans microwave, millimeter-wave, and THz frequencies, with applications in biomedical implants, energy harvesting, and IoT systems. Notable projects include DMTC Project 2.3 on composite materials, ARC-funded research on photonic antennas, and collaborations with industry partners like Cochlear and BAE Systems. Dr. Rowe leads over 20 active research projects, including supervision of topics such as metamaterial-based antennas for IoT, wearable communication devices, and machine learning applications in signal processing. He has contributed to 185+ publications, with recent work emphasizing 5G/6G systems, satellite localization, and deep learning for device authentication. His teaching covers antennas, microwave components, and electromagnetic sensing technologies. Dr. Rowe operates from RMIT's City Campus in Melbourne, Australia, and is open to supervising Masters and PhD candidates in his research areas. He is a member of the IEEE Microwave Theory and Techniques (MTT) and Antennas and Propagation (AP) societies.

• Applied Electromagnetics
• Wireless Communications
• Antenna Design
• +۵ مورد دیگر

Dr. Xingqi Zhang is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Alberta, Canada. He holds adjunct professorships at University College Dublin (Ireland) and has held visiting positions at the University of Toronto and Queen Mary University of London. His research focuses on applied electromagnetics and wireless communications, emphasizing high-performance computational models for 5G/6G/THz systems, intelligent transportation, underwater communications, IoT, and biomedical applications. Education: B.Sc. (Honors) from Harbin Institute of Technology, M.A.Sc. and Ph.D. from the University of Toronto. Research interests include physics-based wireless channel modeling, radio wave propagation in diverse environments, multiphysics modeling for electromagnetic and biomedical systems, reconfigurable intelligent surfaces (RIS), antenna design, and machine learning applications in communications. He leads a Horizon 2020-funded project on future wireless networks and collaborates with global academia and industry. Awards: ACES Early Career Award, RIA Charlemont Award, and multiple best paper awards. He serves as an associate editor for IEEE journals and technical committee roles in flagship conferences. Teaching: Currently teaches ECE 209A/B (Fundamentals of Electrical Engineering) in 2025 terms. His group oversees projects in channel modeling, integrated sensing/communication, and machine learning-based parametric modeling.

• Surface Electromagnetics
• Metasurfaces
• Reconfigurable Intelligent Surfaces (RIS)
• +۷ مورد دیگر

Mohsen Khalily is an Associate Professor in Antennas and Propagation at the University of Surrey's Institute for Communication Systems (ICS) within the School of Computer Science and Electronic Engineering. He leads the Surface Electromagnetics Laboratory (SEMLAB) and has secured over £4.5M in research grants. His work focuses on surface electromagnetics, metasurfaces, THz communication, and RIS standardization within ETSI. Education & Research: Holds senior IEEE membership and fellowships in Higher Education. Research spans metasurface engineering, RIS applications, and antenna design for 5G/6G. Notable contributions include reconfigurable intelligent surfaces for ISAC and THz on-chip communication using topological insulators. Publications & Impact: Authored 250+ papers and 4 book chapters. Key areas include holographic beamforming, wave-domain computing, and OAM multiplexing. Recent work explores STAR-RIS for sensing/communication coexistence and quantum optimization of metasurfaces. Grants & Collaborations: Led projects like PREMIER (£750k), RIS-Enabled ISAC (£450k), and Flexi-DAS (£1.2M). Collaborates with global experts like Prof. Ahmed Kishk (Concordia) and Prof. Zhi Ning Chen (NUS).

Zaher Mahfouzمشاهده پروفایل

مدرس

• Wireless Communications
• Propagation Channel Modeling
• Electromagnetic Compatibility (EMC)
• +۳ مورد دیگر

Zaher Mahfouz is a Lecturer in Radio Systems at the University of Twente. His research focuses on wireless communication channel modeling, electromagnetic compatibility (EMC), and ultra-narrowband network optimization. Key areas include propagation channel characterization, interference analysis, and reverberation chamber testing. Research Interests: Propagation channel modeling in reverberation chambers Ultra-narrowband communication for low-power applications EMC testing methodologies Wi-Fi and sensor network coexistence Radio frequency measurement techniques Recent Research Trends: Zaher's work explores the feasibility of ultra-narrowband communication in crowded 2.4 GHz bands, experimental characterization of propagation channels using multiprobe techniques, and the impact of narrowband interference on Wi-Fi systems. His studies often utilize reverberation chambers for empirical validation. Collaborations: Collaborators include researchers from academic and industry institutions, focusing on channel modeling and wireless system robustness.

Xianbin Wangمشاهده پروفایل

استاد

• 5G/6G
• Intelligent Communications
• Wireless Security
• +۵ مورد دیگر

Professor Xianbin Wang is a Tier-1 Canada Research Chair at Western University , Canada, within the Faculty of Engineering and Department of Electrical and Computer Engineering . With a Ph.D. from the National University of Singapore (2001) , he has led transformative research in 5G/6G , machine learning , and IoT security . His work has attracted over 24,000 Google Scholar citations and 35 patents , including foundational contributions to physical layer authentication and multi-carrier modulation . Ph.D., Electrical and Computer Engineering, National University of Singapore (2001) Director, Innovation Centre for Information Engineering (2018–present) Researcher, Communications Research Centre Canada (2002–2007) His research interests span intelligent wireless system design, secure communications via physical layer attributes, and AI-driven network orchestration. Key areas include: 5G/6G Core Technologies Machine Learning for Authentication Multi-Dimensional Resource Utilization Integrated Security and Trust Management His 15 most recent publications (2019–2022) demonstrate leadership in 6G prototyping , UAV networks , and IoT security using GANs , NOMA , and blockchain . Awards include the IEEE R.A. Fessenden Medal (2022) and fellowships from IEEE, CAE, and EIC. He has served as Editor-in-Chief for IEEE ComSoc Best Readings and Tutorial Chair for major IEEE conferences. As supervisor of over 20 researchers, he leads the Western University Innovation Centre for Information Engineering , supported by NSERC CREATE , Ontario Centres of Excellence , and Canada Foundation for Innovation . His patents on adaptive duplexing, transmitter identification, and integrated locationing systems underpin modern 5G/6G standards .

• Electromagnetism
• Electromagnetic Compatibility
• Antenna Design
• +۳ مورد دیگر

Prof. Valter Mariani Primiani is a Full Professor at the Polytechnic University of Marche within the Department of Information Engineering . His research focuses on electromagnetic fields, with expertise in reverberation chambers, wireless communication systems, and quantum computing applications. He holds office hours Monday to Friday from 9-13 at the Dipartimento di Ingegneria dell'Informazione (via Brecce Bianche, Ancona) and is reachable at v.mariani@univpm.it . His work emphasizes electromagnetic compatibility , 5G technology , and quantum-based simulations . Recent studies include optimizing reconfigurable intelligent surfaces for wireless networks and analyzing 5G signal propagation in controlled environments. He actively contributes to IEEE standards, such as the P2718 Working Group, and collaborates on open-source tools for electromagnetic measurement. His research integrates computational methods (e.g., FDTD simulations) with experimental setups in reverberation chambers, addressing challenges in dosimetry, channel emulation, and high-frequency performance. His work supports advancements in both theoretical and applied electromagnetics, with applications spanning from biomedical dosimetry to smart infrastructure.

Giovanni Del Galdoمشاهده پروفایل

استاد

• Wireless Communications
• Signal Processing
• Channel Modeling
• +۶ مورد دیگر

Giovanni Del Galdo is a full Professor at the Technische Universität Ilmenau, where he leads the Electronic Measurement Technology and Signal Processing (EMS) group within the Faculty of Electrical Engineering and Information Technology. He also maintains an affiliation with the Fraunhofer Institute for Integrated Circuits IIS. Since 2012, he has directed a research group comprising both a Fraunhofer department and a university chair, which expanded to approximately 60 staff members following a 2016 merger with another research group. Del Galdo received his Laurea degree in Telecommunications Engineering from Politecnico di Milano in 2002 and his Dr.-Ing. from TU Ilmenau in 2007 under Prof. Martin Haardt, with a dissertation titled "Geometry-based Channel Modeling for Multi-User MIMO Systems and Applications." Prior to his current position, he worked as a Senior Scientist at Fraunhofer IIS and was a member of the International Audio Laboratories Erlangen, where he focused on audio watermarking and spatial sound representation. His research spans multidimensional signal processing, wireless communications, and advanced measurement techniques. He specializes in channel modeling, MIMO systems, Over-The-Air testing, and high-resolution parameter estimation methods including compressed sensing. His work addresses challenges from sub-THz frequencies to practical industrial applications. Analysis of his recent publications reveals strong focus on wireless channel characterization, particularly for 5G/6G and V2X applications. His research integrates theoretical signal processing with practical measurement systems, often developing novel hardware implementations for real-world testing scenarios. Key application areas include automotive communications, industrial measurement systems, and next-generation wireless technologies. Del Galdo actively supervises numerous research projects and has extensive experience with laboratory testbed development for wireless systems validation. His group maintains advanced facilities for channel sounding, OTA testing, and signal processing algorithm development, supporting both academic research and industry collaboration.

Pei Liuمشاهده پروفایل

عضو هیئت علمی

• Wireless Communications
• 5G/6G Networks
• Millimeter Wave Technology
• +۶ مورد دیگر

Pei Liu is a Research Assistant Professor in the Department of Electrical and Computer Engineering at New York University (NYU Tandon School of Engineering). Affiliated with NYU WIRELESS and the Center for Advanced Technology in Telecommunications (CATT), their research focuses on advancing wireless communication technologies, particularly in millimeter-wave and terahertz networks, full-duplex systems, cooperative relaying, and network architecture design. Key areas include 5G/6G networks, cellular network optimization, and real-time scheduling using machine learning. NYU WIRELESS, where Dr. Liu is actively involved, is a leading center for 6G research, exploring high-frequency communication systems and innovative network topologies. CATT emphasizes applied research in telecommunications to drive economic impact through technology transfer and industry collaboration. Dr. Liu’s work spans theoretical and practical aspects of wireless systems, addressing challenges in latency reduction, interference management, and resource allocation. Their contributions include pioneering studies on millimeter-wave cellular architectures and TCP protocol optimizations for ultra-low latency. Recent publications highlight advancements in deep learning-driven scheduling and multipath transmission in cloud radio access networks. While no specific grants or awards are listed, their involvement with NYU WIRELESS and CATT underscores engagement with cutting-edge research initiatives. Collaborative projects likely align with industry and government partnerships, though explicit details are not provided in the source text.