جست‌وجوی استاد و پژوهشگر

Barry Evansمشاهده پروفایل

استاد

• Satellite Communications
• 5G/6G Network Integration
• Telecommunication Systems
• +۳ مورد دیگر

Professor Barry Evans is a faculty member at the University of Surrey, affiliated with the School of Computer Science and Electronic Engineering and the Institute for Communication Systems. He holds a BSc (First Class Honors) and PhD from the University of Leeds. His career includes foundational work on telecommunication systems, including pioneering contributions to radio propagation research, satellite systems, and speech coding at the University of Essex (1968-1983). His research focuses on satellite communications integration with 5G/6G networks, edge computing, and hybrid terrestrial-satellite systems. His academic background spans over five decades, with notable achievements in developing dual-polarization satellite systems and SCPC syllabic companded FM, a satellite standard adopted by developing countries. His work emphasizes next-generation network architectures, spectrum sharing, and cognitive radio applications in satellite environments. Publications highlight advancements in 6G satellite communications, hybrid routing methods for mega-constellations, and QoE-aware video streaming over integrated networks. Key themes include network convergence, interference management, and energy-efficient systems. His contributions have shaped standards for high-throughput satellites (HTS) and their role in 5G infrastructure. Notable projects include the SaT5G initiative exploring 5G satellite integration, the CoRaSat project on cognitive radio for satellite systems, and studies on Ka/Q/V-band applications for Earth observation missions. His work bridges academic research with practical implementations, focusing on scalable solutions for global broadband access.

Chris Bakerمشاهده پروفایل

استاد

• Radar Systems
• Quantum Radar
• Signal Processing
• +۴ مورد دیگر

Professor Chris Baker holds the Chair of Intelligent Sensor Systems at the University of Birmingham's Department of Electronic, Electrical and Systems Engineering. He is also Chief Technology Officer at Aveillant Ltd (a Thales company). With over 35 years in radar research, he led development of UK military systems like Sentinel and MSTAR, and now pioneers quantum radar through the UK National Quantum Technology Hub. A Fellow of IEEE and IET, Baker authored over 250 publications and co-authored the textbook 'Stimson’s introduction to airborne radar'. His research spans cognitive radar, quantum sensing, bio-inspired systems, and automotive radar. Education includes BSc/Dip App Phys/PhD from UK institutions. He served as Dean of ANU's College of Engineering and held Royal Academy of Engineering chairs. Teaching includes courses based on his textbook. Awards include the IEE Mountbatten Premium (twice), and leadership roles in IEEE and IET journals. Current projects focus on quantum radar, distributed sensing, and bio-inspired sensor systems. He collaborates with global universities and industries, advising on technical strategy and engineering solutions. Grants supported applied research worldwide, with consultancy for governments and defense.

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.

Viktoria Fodorمشاهده پروفایل

استاد

• Communication Networks
• Network Performance Evaluation
• Wireless Sensor Networks
• +۶ مورد دیگر

Viktoria Fodor is a Professor in the Department of Network and Systems Engineering at KTH Royal Institute of Technology, Stockholm. She holds roles including Vice Director of First and Second Cycle Education at the School of Electrical Engineering and Program Coordinator for Network Services and Systems, and the EIT ITC Internet Technology and Architecture master programs. Her research focuses on communication networks, including modeling, performance evaluation, wireless sensor networks, and edge computing. Education: M.Sc. in Computer Engineering (1992), Budapest University of Technology and Economics Ph.D. in Telecommunication and Teletraffic Theory (1999), Budapest University of Technology and Economics Research & Projects: Leading the DEMOCRITUS project on decision-making in critical societal infrastructures Involved in EU FP7 projects (Hydrobionets, GreenEyes), Vinnova initiatives (iWater), and industry collaborations Focus areas include federated learning, over-the-air computation, and network security Grants & Leadership: Recipient of VR grants (e.g., Topology Optimization) and SSF funding Co-advisor to 13+ PhD students and postdocs Editorial roles at IEEE Transactions and IFIP Networking Labs & Teams: Member of Digital Futures, a cross-disciplinary research center at KTH Active in the Strategic Research Committee and Executive Committee of Digital Futures

• Cloud Computing
• Cybersecurity
• Internet of Things (IoT)
• +۷ مورد دیگر

Gokop Goteng is a Senior Lecturer at Queen Mary University of London's School of Electronic Engineering and Computer Science, specializing in cloud computing, IoT security, and middleware systems. He holds a PhD in Grid Computing from Cranfield University (2009) and has held postdoctoral roles at Qatar Computing Research Institute (2012-2014) and King Abdullah University of Science and Technology (2012-2014). Currently, he leads the BUPT joint program's Cloud Computing and Middleware modules, focusing on industry-relevant skills in distributed systems and software engineering. His research integrates cloud technologies, cybersecurity, and AI to address challenges in smart cities, energy systems, and digital healthcare. Notable projects include malware detection in IoT devices and optimizing cloud service latency via deep learning. He is an Oracle Certified Professional (OCP), Java Certified Programmer (JCP), and active member of the British Computer Society (BCS) and IEEE. Teaching responsibilities include Cloud Computing (BUPT joint programme) Middleware for IoT Software Engineering , emphasizing hands-on programming with APIs, secure middleware design, and team-based software development. His work emphasizes industry collaboration, as seen in AWS Academy partnerships to enhance student employability. He maintains a research website at gotengphdstudents for doctoral supervision and project updates.

Xiaoyu Zhengمشاهده پروفایل

پژوهشگر ارشد

• AI in Healthcare
• Medical Imaging
• Biomedical Data Analysis
• +۳ مورد دیگر

Xiaoyu Zheng is a Research Fellow at Queen Mary University of London, affiliated with the Digital Environment Research Institute (DERI). They hold a Postdoctoral Research Associate position focused on AI for Musculoskeletal (MSK) Conditions, working on the NIHR Barts Biomedical Research Centre (BRC) Grant in the MSK theme. Their research involves analyzing multi-omic data from a cohort of 1000 rheumatoid arthritis (RA) patients, integrating longitudinal biopsy data, blood samples, and patient-reported outcomes (PROMs). Key contributions include developing an MSK Digital Twin platform to enable personalized treatment plans, disease trajectory prediction, and therapeutic response forecasting. Research interests center on AI-driven healthcare solutions, particularly in musculoskeletal conditions, multi-omic data integration, and real-time physiological monitoring systems. Their work bridges machine learning advancements with clinical applications, emphasizing wearable sensor technologies and signal processing for continuous health assessment. Recent publications highlight innovations in medical image classification, opto-physiological monitoring systems, and noise reduction techniques for physiological signals during physical activity. Advising and grants include the NIHR Barts BRC Grant, focusing on translating multi-omic insights into clinical tools through digital twin frameworks. Collaborations are embedded within interdisciplinary teams at DERI, combining computational methods with biomedical expertise to address unmet clinical needs in musculoskeletal disease management. Labs and teams: Active contributor to the Digital Environment Research Institute (DERI), part of Queen Mary University of London’s research ecosystem. Projects emphasize AI integration with clinical workflows to enhance precision medicine and patient-centric care models.

Quanyan Zhuمشاهده پروفایل

دانشیار

• Game Theory
• Control Theory
• Cyber-physical Systems
• +۷ مورد دیگر

Quanyan Zhu is an Associate Professor in the Department of Electrical and Computer Engineering at the NYU Tandon School of Engineering, affiliated with the NYU Center for Cybersecurity (CCS). His research focuses on game theory, control theory, cyber-physical systems, risk management, smart grids, and wireless networks. He leads the Laboratory for Agile and Resilient Complex Systems, exploring game-theoretic tools for system design. He is also part of the Center for Advanced Technology in Telecommunications (CATT) and the USDOT Tier 1 University Transportation Center C2SMARTER. Contact: quanyan.zhu@nyu.edu , Room 1004, 370 Jay Street, Brooklyn, NY. Research Interests: Game Theory & Strategic Decision-Making Cyber-Physical Systems Security Resilient Control Systems Smart Grid & Energy Networks Wireless Network Optimization AI/ML for Cybersecurity Labs & Collaborations: Laboratory for Agile and Resilient Complex Systems NYU Center for Cybersecurity (CCS) Center for Advanced Technology in Telecommunications (CATT) C2SMARTER (USDOT Tier 1 UTC) Key Contributions: Develops game-theoretic frameworks for cybersecurity, resilient control systems, and strategic AI applications. His work bridges theory and practice, addressing challenges in autonomous systems, cyber-physical security, and smart infrastructure.

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.

Haytham Fayekمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۷ مورد دیگر

Dr. Haytham Fayek is a Senior Lecturer in the School of Computing Technologies at RMIT University, leading the Machine Learning and Intelligence Group. He holds roles in the Evolutionary Computing and Machine Learning (ECML) Group, AI Innovation Lab, and the Centre for Industrial AI Research & Innovation (CIARI). His academic journey includes a PhD from RMIT (2019), postdoctoral work at Meta (2018-2020), and industry experience as an electrical engineer. He teaches courses like Foundations of Artificial Intelligence and Programming Fundamentals for Scientists. Research focuses on AI systems that generalize from limited data, emphasizing continual learning, multimodal learning, and applications in satellite systems, structural engineering, and gaming. Key projects include SAR interference mitigation, graph neural networks for automotive design, and cognitive load measurement in video games. He has supervised over 15 PhD/MS students and authored 60+ peer-reviewed publications. Notable achievements include a 2025 Spotlight presentation at ICLR and 2023 Best Paper nominations. Awards include EACL 2024 publication and IEEE Transactions contributions. His work bridges theory (e.g., SWAP-NAS NAS framework) with applications like autonomous satellite systems and aircraft defect tracking through NLP.

Aydin Karsilayanمشاهده پروفایل

دانشیار

• Radio Frequency Circuits
• Baseband Circuits
• Signal Processing
• +۵ مورد دیگر

Aydin Karsilayan is an Associate Professor and Director of Undergraduate Programs in the Department of Electrical and Computer Engineering at Texas A&M University, affiliated with the College of Engineering. He holds a Ph.D. (2000) from Portland State University and B.S./M.S. degrees (1993/1995) in Electrical Engineering from Bilkent University. His research focuses on radio frequency circuits , baseband systems , and signal processing , with contributions to energy harvesting for medical devices, wireless power transmission, and robust communication systems. Notable work includes high-efficiency CMOS rectifiers, blocker-tolerant ADC designs, and interference-resilient transceivers. His recent publications (2019–2023) emphasize RF circuit optimization , low-power analog design , and mixed-signal systems . Key trends include improving ADC resilience to blockers, enhancing rectifier efficiency for wireless power, and developing tunable filters for 5G/cognitive radio applications. Awards: Outstanding Ph.D. Student Award (Portland State University) Memberships: IEEE, Tau Beta Pi, Eta Kappa Nu His advising and grants focus on graduate research in analog/mixed-signal circuits. He has contributed to lab initiatives in energy harvesting and high-frequency receiver design at Texas A&M.

Scott L. Millerمشاهده پروفایل

استاد

• Communication Theory
• Signal Processing
• Wireless Communications
• +۶ مورد دیگر

Scott L. Miller is a Professor of Electrical and Computer Engineering at Texas A&M University, holding the Debbie and Dennis Segers '75 Professorship. He serves as a faculty fellow in the Eugene E. Webb ’43 program and is affiliated with the Department of Electrical and Computer Engineering. His work focuses on communication theory, signal processing, and wireless systems design. Educational Background: B.S. in Electrical Engineering, UC San Diego (1985) M.S. in Communication Theory and Systems, UC San Diego (1986) Ph.D. in Communication Theory and Systems, UC San Diego (1988) Research interests include physical layer security, optical communication systems (VLC, FSO-mmWave), acoustic wave propagation for downhole telemetry, and interference mitigation in multiuser systems. His recent work addresses secured signal processing in emerging wireless paradigms and hybrid communication systems. He holds the IEEE Fellow distinction. Awards: IEEE Fellow Advising and grants involve mentoring graduate students in cutting-edge communication technologies. Notable contributions include experimental demonstrations of VLC-based downhole systems and analytical frameworks for IQ imbalance compensation in uplink systems.

Sam Palermoمشاهده پروفایل

استاد

• High-Speed Interconnects
• Optical Communications
• Clock Generation Circuits
• +۳ مورد دیگر

Sam Palermo is Professor and J.W. Runyon Jr. Professor in the Department of Electrical and Computer Engineering at Texas A&M University's College of Engineering. He holds a Ph.D. from Stanford University and M.S./B.S. degrees from Texas A&M University. Palermo's research develops: High-speed electrical/optical interconnect circuits Clock generation/recovery systems (PLL/DLL/CDR) Variability-tolerant analog/mixed-signal ICs Energy-efficient wireline communications His publications demonstrate consistent innovation in integrated circuit design for optical communications, with recent work on silicon photonic transceivers, jitter-robust multicarrier systems, and radiation-hardened oscillators. Research bridges high-frequency circuit design with advanced photonics integration. Palermo has contributed to optical interconnect standards and developed testbeds for tera-scale computing interfaces. His work on CMOS-photonic integration has enabled high-bandwidth interconnects for data centers and HPC systems. He serves on technical committees for IEEE conferences including the International Solid-State Circuits Conference and Custom Integrated Circuits Conference (CICC).

Stephanie Wisselمشاهده پروفایل

دانشیار

• Particle Astrophysics
• Experimental Particle Astrophysics
• Neutrino Astrophysics
• +۳ مورد دیگر

Dr. Stephanie Wissel is the Downsbrough Early Career Associate Professor of Physics and Astronomy/Astrophysics at The Pennsylvania State University, affiliated with the Department of Astronomy and Astrophysics within the Eberly College of Science. Her research focuses on particle astrophysics, particularly neutrino astrophysics and ultra-high energy cosmic phenomena. She leads experimental efforts using radio detection techniques to study cosmic neutrinos, including contributions to the ANITA, ARA, and RNO-G experiments. Wissel's work bridges astrophysics and fundamental physics, exploring neutrino interactions at extreme energies. Education: B.S., University of Dallas, 2004 S.M. & Ph.D., University of Chicago, 2005 & 2010 Research Interests: Particle astrophysics, experimental neutrino detection, radio-based neutrino telescopes, cosmic rays, and multi-messenger astrophysics. Her lab develops next-generation instruments like the Askaryan Radio Array (ARA) and Radio Neutrino Observatory in Greenland (RNO-G). Recent projects include the BEACON concept for tau neutrino detection and the PUEO payload for NASA. Articles & Trends: Her publications emphasize radio detection of high-energy neutrinos, ANITA anomalies, and glacial ice properties. Key topics include neutrino flux constraints, cosmic ray air showers, and interferometric trigger arrays. The most recent work addresses coherent radio reflections and Earth-skimming neutrinos. Advising & Grants: NSF CAREER Grant 1752922 supports BEACON research. She mentors a diverse group of students and postdocs, advancing instrumentation and data analysis in astroparticle physics. Notable collaborators include the ANITA, ARA, and VERITAS collaborations. Labs & Teams: The Wissel Lab at Penn State focuses on neutrino astrophysics, with field campaigns in Antarctica and Greenland. The lab integrates detector development, data analysis, and educational outreach through computational workshops.

Elizabeth Thompsonمشاهده پروفایل

استادیار

• Psychiatry
• Psychology
• Mental Health
• +۳ مورد دیگر

Elizabeth Thompson is the Dean of Pembroke College and holds dual roles as Assistant Professor of the Practice and Assistant Professor of Psychiatry and Human Behavior at Brown University. Her research focuses on identifying risk factors for psychosis-spectrum disorders in adolescents, optimizing early psychosis screening methods, and developing interventions to mitigate mental health risks in this population. She earned her Ph.D. in Clinical Psychology from the University of Maryland, Baltimore County, and completed her clinical internship and postdoctoral fellowship at Brown University’s Department of Psychiatry and Human Behavior. Dr. Thompson is also a Research Scientist at Rhode Island Hospital and co-directs Bradley Hospital's Stride Clinic, an early psychosis assessment and consultation service for Rhode Island youth and families. Her work bridges clinical practice and research, emphasizing translational approaches to improve mental health outcomes.

• Power Electronics
• Renewable Energy Systems
• Electromagnetic Compatibility
• +۳ مورد دیگر

Prof Firuz Zare is the Head of School of Electrical Engineering & Robotics at Queensland University of Technology (QUT). With over 20 years of experience in academia, industry, and international standardization committees, he specializes in power electronics, renewable energy systems, electromagnetic compatibility, and pulsed power. His research focuses on grid-connected renewable energy, harmonics mitigation, and standardization of future grids. He has published over 320 peer-reviewed papers, secured AU$10M+ in research funds, and leads international projects. Awards include the Star Associate Editor Award (2020) and the 2015 Innovation and Excellence Award. Education: PhD in Electrical Engineering from QUT. Research areas include advanced power converter topology, electromagnetic interferences, grid standardization, and pulsed power applications. He has supervised 35 PhD/M.Eng students and 14 post-docs. Notable contributions include establishing IEEE Power Electronics Societies in Queensland and leading IEC standardization efforts for solar inverters and wind turbines. His teaching innovations include Power Electronics Education E-Books and entrepreneurship-focused pedagogy.