جست‌وجوی استاد و پژوهشگر

Yue Gaoمشاهده پروفایل

استاد

• Wireless Communications
• Smart Antennas
• Signal Processing
• +۴ مورد دیگر

Yue Gao is a Professor of Wireless Communications at the Institute for Communication Systems, University of Surrey. He holds a PhD from Queen Mary University of London (2007) and previously served as a lecturer, senior lecturer, and reader at QMUL. His research focuses on smart antennas, signal processing, spectrum sharing, millimeter-wave systems, and IoT in mobile/satellite communications. He has authored over 180 papers, two patents, a book, and five book chapters. Current roles include EPSRC Fellow (2018–2023) and editorial roles for IEEE Transactions on Cognitive Communications and Networking, Vehicular Technology, and Internet of Things Journal. Notable awards include the EU Horizon Prize (2016). His work spans interdisciplinary projects like GBSense (GHz Bandwidth Sensing) and contributes to 6G research. Collaborations include leadership roles at IEEE conferences and global spectrum sensing challenges. Research interests emphasize antenna design (e.g., 3D printed, Ka-band), sub-Nyquist sampling, and machine learning for spectrum reconstruction. Affiliated with Surrey’s antenna measurement facilities (NPL) for advanced testing (400 MHz to 110 GHz, THz spectroscopy). Active in mentoring PhD students in antennas/wireless communications and oversees projects like the GBSense Challenge, advancing sensor-driven spectrum management.

Ediz Cetinمشاهده پروفایل

دانشیار

• Radio Frequency Interference Detection
• Fault-Tolerant Reconfigurable Circuits
• Machine Learning Applications
• +۴ مورد دیگر

Ediz Cetin is an Associate Professor in Digital Electronics Engineering at Macquarie University's School of Engineering and a member of the Astrophysics and Space Technologies Research Centre. He serves as Course Director for the MEng Electronics Engineering program and Chair of the School's Postgraduate Coursework Committee. His research focuses on radio frequency interference mitigation, fault-tolerant reconfigurable circuits for space applications, machine learning in RF signal analysis, and low-power digital circuit design. Education: PhD in Signal Processing (Unsupervised Adaptive Signal Processing Techniques for Wireless Receivers) B.Eng. (Hons.) in Control and Computer Engineering Research Interests: RF interference detection and localization GNSS anti-jamming and spoofing detection FPGA-based reconfigurable systems Space instrumentation and CubeSat technologies Machine learning for signal processing Awards: Excellence in Learning Innovation (FSE Teaching Award, 2022) Highly Commended Finalist – Vice-Chancellor’s Award for Learning Innovation (2022) Innovative Approaches – Highly Commended (FSE Teaching Award, 2020) Key Projects: SmartSat CRC (2020–2026): Smart Satellite Technologies and Analytics Spacecraft Innovation Lab (2021–2022) CubeSat Biological Payload (2019–2022) Teaching Contributions: Led the 'Improving Student Engagement with Anywhere and Any-time Laboratory Access' initiative (2019–2020), enhancing remote lab accessibility for students.

Le-Nam Tranمشاهده پروفایل

پژوهشگر

• Wireless Communications
• 5G/6G Network Optimization
• Signal Processing
• +۴ مورد دیگر

Dr. Le-Nam Tran is a researcher at the UCD School of Electrical & Electronic Engineering , University College Dublin. His work focuses on optimizing the last hop of 5G/6G wireless networks through mathematical programming, with emphasis on energy efficiency, interference management, and security against eavesdropping. Develops low-cost, low-complexity transmission techniques Projects supported by Science Foundation Ireland Career Development Award Author of over 80 peer-reviewed publications Research Keywords: Wireless Communications Network Security Signal Processing Energy-Efficient Systems Beamforming Optimization Interference Mitigation

• Electromagnetism
• Antenna Design
• Microwave Engineering
• +۵ مورد دیگر

Angelo Freni is an Associate Professor of Electromagnetism at the University of Florence with a primary focus on antenna design, microwave engineering, and terahertz imaging. His work spans theoretical and applied electromagnetism, including numerical methods for electromagnetic simulation, beamforming, and microwave component optimization. His most recent research includes: 2017: Simultaneous generation of pseudo-Bessel vortex modes with RLSA antennas 2017: THz imaging using uncooled wideband direct detection focal plane arrays 2017: Near-field focusing by non-diffracting Bessel beams Earlier work emphasizes microwave propagation modeling, reflectarray design, and tropospheric interference analysis. Key collaborations include researchers such as M. Albani, P. De Vita, and G. Vecchi.

• Antennas and Propagation
• Electromagnetics
• Wireless Networks
• +۴ مورد دیگر

Can Ding is an Associate Professor in the School of Electrical and Data Engineering at the University of Technology Sydney (UTS), affiliated with the Faculty of Engineering and IT. He is a core member of the Global Big Data Technologies Centre (GBDTC). Ding holds a BEng in Microelectronics from Xidian University (2009) and a joint PhD in Electromagnetic Fields and Microwave Technology from Xidian University and Macquarie University (2016). His research focuses on engineering electromagnetics, particularly in base station antennas for 5G/6G networks, cross-band interference mitigation, and antenna array design. He has led numerous industry-collaborative projects, including ARC-funded initiatives, and has over 120 publications in top-tier journals/conferences, featured in IEEE's 'What’s Hot in Antennas and Propagation.' Teaching highlights include coordinating foundational electrical engineering courses and studio subjects, recognized with UTS's 2023 'Mid-Career Educator of the Year' award. He actively contributes to professional societies like IEEE AP-S, serving as an editor and conference organizer. His awards include the ARC DECRA grant (2020), Top 2% World Scientist (2023), and multiple outstanding reviewer distinctions. His grants include 'Advancing Millimeter-Wave Base Station for 6G' (ARC DP, 2025–2027) and 'Maximizing 5G Signal Transparency' (UTS Bluesky, 2024). Ding supervises students in antenna design and has mentored over a dozen researchers, many of whom have won international conference awards.

• Electromagnetic
• Microwave
• Antenna Technologies
• +۳ مورد دیگر

Dr. Hayrullah Yıldız is an Assistant Professor in the Electrical and Electronics Engineering Department at Bağışent University, specializing in radar systems, vortex waves, and antenna technologies. He earned his PhD, Master's, and Bachelor's degrees in Electrical and Electronics Engineering from Middle East Technical University (METU) in 1996, 1988, and 1986, respectively. Education: PhD (1996): METU, Electrical and Electronics Engineering Master's (1988): METU, Electrical and Electronics Engineering Bachelor's (1986): METU, Electrical and Electronics Engineering His research focuses on electromagnetic theory, microwave engineering, and advanced radar systems, particularly vortex wave applications in beamforming and localization. Recent work includes software-defined radar signal generators, X-band and K-band radar systems with collimated vortex waves, and OAM multiplexing for Ka-band communication. The 15 most recent articles (1996–2024) highlight his expertise in collimated vortex waves , phased arrays , OAM multiplexing , and microwave imaging . Subfields span from beam steering to space-time coding and antenna array optimization . Projects (2019–2023) include Radar Target Localization , Phased Array Design , and Satellite Communication Beamforming . He teaches courses such as Electromagnetic Theory , Radar Systems , and Microwave Engineering .

• Telecommunications
• Communication Systems
• Satellite Communications
• +۷ مورد دیگر

Roberto Garello is a Tenured Associate Professor at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino . He specializes in Communication Systems , Satellite Networks , and Channel Coding , with a focus on 5G/6G Technologies and Non-Terrestrial Networks . His work aligns with the School of Master’s Programmes and Lifelong Learning . Research Interests: Satellite communications systems, Direct-to-Satellite IoT constellations, Mega-constellation services in space, and physical layer advancements for 5G/6G. Teaching: Offers courses like Information Theory for Data Science , Communication and Network Systems , and Space Exploration and Resources , while supervising Applied Signal Processing Laboratory . Projects: Leads initiatives such as DitDSSS (satellite localization), RESTART (future telecommunications), and TESL@ (ICT energy efficiency). Scientific Awards: Received Best Paper Awards at CTRQ 2010 and COCORA 2013. Students: Supervises PhD candidates including Alessandro Compagnoni, Agbotiname Lucky Imoize, and Riccardo Tuninato, focusing on topics like Wireless Communication, Machine Learning, and Non-Terrestrial Networks. Publications: His recent work explores OTFS vs. OFDM, spectrum sensing algorithms, MIMO with cylindrical arrays, and 5G NTN synchronization, reflecting trends in satellite IoT and machine learning integration.

Jean-François Frigonمشاهده پروفایل

استاد

• Wireless Communications
• Signal Processing
• Adaptive Systems
• +۳ مورد دیگر

Jean-François Frigon is a Full Professor in the Department of Electrical Engineering at Polytechnique Montréal, specializing in wireless communication systems and signal processing. His research spans adaptive systems, MIMO technologies, and energy-harvesting networks. Research Focus: Wireless communications, signal processing algorithms, and MIMO systems Collaborations: LORLAB, IVADO, POLY-GRAMES, GERAD Recent Publications: 15+ articles on topics including regenerative satellite payloads, machine learning for beamforming, and mmWave system optimization. His work emphasizes AI integration in 5G/6G and sustainable wireless solutions. Awards: Recipient of NSERC Discovery Grant funding in 2022. Collaborated with Ericsson on AI-driven 5G sustainability projects. Lab Affiliations: Active in LORLAB (Laboratoire de recherche en radiocommunications) and POLY-GRAMES microwave research center.

• Semiconductor Devices
• Dielectric Materials
• Microelectronics
• +۴ مورد دیگر

Dr. Durgamadhab Misra is a Professor in the Department of Electrical and Computer Engineering at New Jersey Institute of Technology. His research advances semiconductor devices and materials for next-generation computing and electronics. Research Focus: Dr. Misra's laboratory specializes in: Dielectric materials for advanced transistors Resistive switching memory devices Gate stack engineering Metal-oxide-semiconductor systems In-memory computing architectures Nanoelectronic device fabrication Research Trends: His publications show consistent focus on metal-oxide-based electronic devices, with recent emphasis on ReRAM technologies for in-memory computing, magneto-electric FETs, and low-power device design. Recent works demonstrate increased application focus on neuromorphic computing hardware. Research Funding: Co-PI: REU Site: Optics and photonics: Technologies, Systems, and Devices (NSF, 2024-2027) Co-PI: REU Site: Optics and photonics (NSF, 2019-2024) PI: KAUST-NSF Research Conference on Electronic Materials (NSF, 2015)

• Photonics
• Optical Communications
• Integrated Photonics
• +۴ مورد دیگر

Stephen E. Ralph is Professor and Glen Robinson Chair in Electro-Optics within Georgia Tech's School of Electrical and Computer Engineering, serving as Director of the Georgia Electronic Design Center (GEDC) and founder of the Terabit Optical Networking Consortium. His leadership spans cross-disciplinary research in electronics, photonics, and signal processing for revolutionary system performance. Educational background includes a BEE with highest honors from Georgia Tech (1980) and PhD in Electrical Engineering from Cornell University (1988), followed by postdoctoral work at AT&T Bell Laboratories and IBM Watson Research Center. His research integrates integrated photonics , machine learning , and aerospace applications to develop ultra-high-capacity optical communication systems. Current focus areas include photonic topology optimization, radiation-hardened space systems, and converged optical/mm-wave technologies, emphasizing the synergistic development of electronic-photonic components for next-generation interconnects. Analysis of 2024-2025 publications reveals dominant themes in foundry-compatible photonic design (topology optimization, inverse design), aerospace photonics (radiation testing, analog/digital signal transport), and machine learning applications for nonlinear equalization. The work bridges fundamental device engineering (grating couplers, waveguide bends) with system-level implementations for 5G/6G networks and space communications. Key recognition includes: Fellow of the Optical Society (OSA) Professor Ralph has mentored over 20 PhD students and secured significant research funding including the IUCRC Phase I EPICA project (2021) for aerospace photonic integration. His industry partnerships through the Terabit Optical Networking Consortium drive translational research in high-speed communications. He leads the Georgia Electronic Design Center's multidisciplinary team developing photonic-electronic co-design methodologies, with recent emphasis on topology-optimized devices for commercial foundries and radiation-tolerant systems for space applications.

Jaswinder Lotaمشاهده پروفایل

پژوهشگر

• Signal Processing
• Circuits and Systems
• Wireless Communication
• +۷ مورد دیگر

Dr. Jaswinder Lota is a Reader in Engineering at the University of East London , School of Architecture, Computing and Engineering, Department of Engineering & Construction. He is also a Visiting Academic at University College London’s Department of Electronic and Electrical Engineering, and a Chartered Engineer with extensive industry and academic experience. Education: BSc BEng MEng PGCert HE PhD Research Interests: Dr. Lota specializes in signal processing, circuits and systems, wireless communication, and their applications in radar systems (weather/military), low-power sustainable networks beyond 5G/6G (robotics, automation, healthcare), and electronic technologies for hydrogen propulsion. His work integrates AI-driven channel modeling and impulsive noise analysis. Scientific Awards: IEEE CAS Society Certificate of Appreciation (2019) Grants and Collaborations: He has secured significant funding, including a £2.5K International Research Collaboration Award (2016), £2.5K Research Internship Award (2015), £76K Impact Grant (2014), and a £7M MoD-funded project (1999-2004). Collaborators include UCL and NYU. Leadership: Dr. Lota leads the Smart Cities Research group at UEL and contributed to the REF 2021 submission. He has served as Associate Editor for IEEE TCAS I and Guest Editor for multiple IEEE journals.

• Antenna Engineering
• Microwave Engineering
• Electromagnetics
• +۳ مورد دیگر

Amar Al-Bassam is a researcher at the Institute of High Frequency Engineering at RWTH Aachen University. His work focuses on antenna engineering, particularly in the development of periodic leaky-wave antennas for radar and millimeter-wave applications. He has contributed to advancements in grating lobe mitigation, polarization engineering, and beamforming techniques. Below are his research interests and key contributions: Antenna Design for Radar and Communication Systems Microwave Engineering and Electromagnetic Theory Millimeter-Wave Technology and Waveguide Analysis His recent publications emphasize seamless beam scanning, symmetry-based optimizations, and dielectric material applications. No scientific awards or advisees are explicitly mentioned in the available data.

Dennis Pratherمشاهده پروفایل

استاد

• RF-Photonics
• Antenna Design
• Integrated Photonics
• +۶ مورد دیگر

Dennis Prather is the Engineering Alumni Distinguished Professor at the University of Delaware's Department of Electrical and Computer Engineering within the College of Engineering. A retired U.S. Navy Captain with over 38 years of service, he holds BSEE, MSEE, and PhD degrees from the University of Maryland. His research focuses on RF-photonic devices, including ultra-high bandwidth modulators, silicon photonic RF sources, and integrated RF-photonic phased array antennas. He leads projects in Silicon Photonics, Conformal Antennas, Passive Millimeter-wave Imaging, and High-Frequency Optical Modulators. Professor Prather is an IEEE Fellow, SPIE Fellow, OSA Fellow, and National Academy of Inventors Fellow. He has authored over 650 papers, holds 40+ patents, and authored 16 books/chapters. His work emphasizes photonic integration for advanced phased array systems, microwave photonic radiometry, and high-power photodiode engineering. Current research includes ultra-wideband photonic receivers, holographic beam conversion, and thin-film lithium niobate modulators. His lab develops fabrication processes for state-of-the-art devices, with applications in imaging, communications, and radar. Notable projects include modular antenna systems, optically-fed phased arrays, and photonics-based microwave radiometers. Awards include multiple fellowships recognizing his contributions to photonics and engineering innovation.

Jie Xiongمشاهده پروفایل

دانشیار

• Wireless Sensing
• Mobile Health
• Wireless Networking
• +۳ مورد دیگر

Jie Xiong is an Associate Professor at the University of Massachusetts Amherst, affiliated with the Department of Computer Science within the College of Information and Computer Sciences. He holds a PhD from University College London (2015) and has been a faculty member since 2018. His research focuses on wireless sensing, mobile health, and IoT, with notable contributions to sensor-free systems and long-range sensing. He leads the Center for Smart and Connected Society and has been recognized with awards like the SIGMOBILE Test-of-Time Award (2024) and MobiCom Best Paper Award (2024). Education: PhD in Computer Science, University College London (2015) Research Interests: His work spans wireless sensing (e.g., acoustic, RF, LoRa), mobile health monitoring, and IoT applications. He explores sensor-free techniques, long-range through-wall sensing, and leveraging ambient signals for novel applications. Grants & Awards: NSF CAREER Award NIH R01 Grant (Smart and Connected Health) Google European Doctoral Fellowship BCS Distinguished Dissertation Award (Runner-Up) MobiCom '22 Best Paper Award (Runner-Up) Advising & Students: Supervises PhD students including Minhao Cui, Yuda Feng, Binbin Xie, and Dong Li. His students have received accolades like the Google Ph.D. Fellowship (Binbin Xie, 2022). Labs & Teams: Leads research in the Center for Smart and Connected Society, focusing on wireless systems and health applications. Collaborates with industry and academia on projects like EVLeSen (in-vehicle sensing) and SoilCares (agricultural monitoring).

• Microelectronics
• Analog/RF/Mixed-Signal Circuits
• Digital Integrated Circuits
• +۳ مورد دیگر

Dr. Vishnu Unnikrishnan is an Assistant Professor at the Department of Electrical Engineering, Tampere University, within the Faculty of Information Technology and Communication Sciences. His research focuses on energy-efficient high-performance analog/digital/RF integrated circuits and systems in nanometer-scale CMOS technologies. Key areas include time-based data conversion, high-speed serial links, and 5G/6G wireless transceivers. He leads research on analog interfaces using digital/switch components and collaborates with the SoC Hub ecosystem to bridge academic and industrial interests in system-on-chip design. He has secured significant funding, including an EU Marie Curie ITN grant (SMArT) worth €818k and an Academy of Finland Project (2021) of €821k. His work spans over 40 peer-reviewed publications, emphasizing innovations in time-based ADCs, beamforming receivers, and RF system design. Dr. Unnikrishnan actively supervises doctoral and postdoctoral researchers, offers paid master's theses and summer jobs in IC design, and collaborates with industry through the SoC Hub. His research aims to advance cross-technology portable analog interfaces and high-performance mixed-signal systems.