جستجوی استاد راهنمای دانشگاهی

Dr. Sudharman K. Jayaweera is a Professor in the Department of Electrical and Computer Engineering at the University of New Mexico, Albuquerque, NM. He holds a PhD in Electrical Engineering from Princeton University (2003), an MS in Electrical Engineering from Princeton University (2001), and a BE in Electrical and Electronic Engineering with First Class Honors from the University of Melbourne, Australia (1997). He is a Senior Member of IEEE and serves as an editor for IEEE Transactions in Vehicular Technology. Dr. Jayaweera's research spans several key areas in modern communications and signal processing: Cognitive radios and autonomous learning systems Wireless communications and statistical signal processing Machine learning applications in communications Smart-grid technologies and cyber-physical systems Satellite communications and space networks Vehicular networks and distributed systems His recent work shows a clear trend toward integrating artificial intelligence with traditional communications systems, particularly focusing on UAV networks, spectrum management, and security aspects of cognitive radio systems. The publications reflect a strong emphasis on practical implementations of theoretical concepts, with applications ranging from smart grids to space communications. Dr. Jayaweera has received numerous scientific awards including the IEEE PACRIM 2011 Gold Award for Best Communications Paper, the IEEE AVSS '06 Best Paper Award, and the WPMC '03 Excellent Paper Award. He has also been recognized with fellowships including the National Research Council (NRC) Senior Fellow at the Naval Postgraduate School and ASEE Air Force Summer Faculty Fellow. As an advisor, Dr. Jayaweera has mentored numerous graduate students to completion of their PhD and MS degrees. His former students have gone on to successful careers at institutions including Syracuse University, SUNY Oswego, Qualcomm, Sandia National Labs, and other leading technology companies. He also directs the EYES Summer Internship program for international students at UNM. Dr. Jayaweera leads the Communications and Information Sciences Lab (CISL) and the Cognitive Radio Lab (CRL) at UNM, where his teams work on cutting-edge research in autonomous cognitive radios (which he terms "Radiobots"), machine learning for communications, and next-generation wireless systems.

• Cognitive Radios
• Wireless Communications
• Statistical Signal Processing
• +۷ مورد دیگر

Marco Lanuzza is an Associate Professor in the scientific disciplinary sector ING-INF/01-Electronics at the Department of Computer Engineering, Modeling, Electronics, and Systems (DIMES) at the University of Calabria. He obtained his degree and Ph.D. in Electronic Engineering from the "Mediterranea" University of Reggio Calabria in 2000 and 2005, respectively, and has taught at the University of Calabria and other institutions since 2005-06. He holds the National Scientific Qualification for Full Professor in Electronics (2019) and is a Senior Member of IEEE (2016). Education: Electronic Engineering (110/110), Ph.D. in Electronic Engineering Research Focus: Low-power/high-speed CMOS circuits, reconfigurable circuits, nanotechnology optimization Editorial Roles: Associate Editor for Elsevier's 'Integration, the VLSI Journal' and Wiley's 'International Journal of Circuit Theory and Applications' His research spans circuit design, nanotechnology validation, and applications in signal processing and IoT. Recent publications highlight innovations in content-addressable memory, PUF architectures, and STT-MRAM for in-memory computing. Key subfields include energy-efficient memory systems, hardware security, and cryogenic electronics. Scientific Awards: Senior Member of IEEE (2016) National Scientific Qualification for Full Professor (09/E3 - Electronics, 2019) Associate Editor for two major journals Marco Lanuzza contributes extensively to international conferences as Program Chair and TPC Member. He is part of the Nanoelettronica e Microsistemi research group at DIMES, focusing on multidisciplinary electronic systems and sensor design.

• Low-Power Integrated Circuits
• High-Speed CMOS Design
• Reconfigurable Circuits
• +۶ مورد دیگر

Nabil Yousif is an Associate Professor of Computer Science in the Department of Mathematics and Computer Science within the College of Arts and Sciences at Fort Valley State University , Georgia, USA. He has served the university continuously since 1997, advancing from Instructor to Assistant Professor and then to Associate Professor in August 2014. Education MS in Computer Science, Alabama A&M University, Huntsville, AL (Dec 1984) BS in Computer Science, Alabama A&M University, Huntsville, AL (May 1982) Research Interests Dr. Yousif’s scholarly work centers on computer science education , with particular emphasis on student performance assessment , project-based learning and curriculum development . His research explores how pedagogical interventions—such as microprocessor-based laboratories, software engineering techniques, and pre-assessment instruments—affect student outcomes in courses like data structures and systems analysis. Complementing these educational studies, he has investigated medical image denoising , texture segmentation and neural network modeling of migration , demonstrating an interdisciplinary reach that blends computer vision, machine learning and applied computing. Publications & Trends Across more than a dozen peer-reviewed articles and conference presentations (2002–2014), two dominant themes emerge. First, a sustained focus on CS pedagogy : six works evaluate factors influencing student success in programming, data structures and systems courses, often introducing novel assessment tools or project-centric curricula. Second, an applied computing strand addresses image processing , embedded systems and network simulation , frequently in collaborative, cross-disciplinary projects. These strands collectively highlight Dr. Yousif’s commitment to both advancing computer science education and leveraging computing solutions in engineering and health domains. Professional Certifications & Industry Experience Oracle Certified Associate (OCA) – 2007 Cisco Certified Network Associate (CCNA) – 2003 CompTIA Network+ Certified Professional – 2003 Prior to his academic career, Dr. Yousif accumulated over a decade of industrial experience, including senior programmer/analyst roles at the Saudi Agricultural Bank and RF design support at Integrated Wireless Communication, grounding his teaching in real-world practice. Collaboration & Outreach His publication record reveals extensive collaboration with colleagues such as Masoud Naghedolfeizi, Sanjeev Arora and Xiangyan Zeng, often integrating engineering contexts into computer science courses. While no dedicated laboratory or research group is explicitly named, the breadth of interdisciplinary projects suggests active engagement in cross-departmental initiatives at Fort Valley State University.

• Computer Science Education
• Software Engineering Pedagogy
• Student Performance Assessment
• +۵ مورد دیگر

Xuepu Wu is a doctoral scholar affiliated with the Department of Electronics and Informatics at the Free University of Brussels (VUB), working under the Faculty of Engineering. Their ORCID identifier is 0000-0001-7285-6893 . Their research focuses on advanced electronics and wireless communication systems, with a strong emphasis on low-power and high-frequency applications. Recent research activity includes work on RF integrated circuits and sensor technology for beamforming transmitters, leveraging cutting-edge 22nm FD-SOI fabrication processes. This aligns with their broader interests in wireless communication and sensor design.

• Electronics Engineering
• Radio Frequency (RF) Integrated Circuits
• Sensor Technology
• +۳ مورد دیگر

Anasua Chatterjee is a researcher at the Center for Quantum Devices, part of the Niels Bohr Institute at the University of Copenhagen. Her work focuses on quantum dot arrays, spin qubits, and semiconductor-based quantum computing platforms. She collaborates with leading quantum research groups and contributes to advancements in quantum device calibration, optimization, and noise mitigation. Affiliation: Center for Quantum Devices, Niels Bohr Institute, University of Copenhagen Her research spans quantum device automation, charge sensing, and real-time control of qubit fluctuations. Recent publications highlight her expertise in radio-frequency reflectometry, gate voltage optimization, and topological superconductivity in hybrid devices. Key article trends include autonomous calibration of quantum dots using evolutionary algorithms, spin qubit control via FPGA-based feedback systems, and integration of superconducting elements with semiconductor platforms. These studies often involve collaborations with institutions in the U.S. and Europe. While no formal awards are listed in the provided texts, her work appears integral to scaling quantum processors and improving qubit coherence for fault-tolerant systems.

• Quantum Physics
• Semiconductor Devices
• Quantum Computing
• +۴ مورد دیگر

Prof. Dr. Jürgen Peissig is a Full Tenure Professor at the Institute for Communications Technology within the Faculty of Electrical Engineering and Computer Science at Leibniz University Hannover since 2014. He supervises a research group with 1 post-doctoral researcher and 12 PhD students across subgroups: Data Communications Systems, Audiocommunications and Acoustics, and Statistical Signal Processing. PhD in Physics (1992) from University of Göttingen Researcher at AT&T Bell Labs (1990-1991) Research Associate at Universities of Göttingen and Oldenburg (1992-1996) Industry leadership at Sennheiser (1996-2014) His research spans audio signal processing for hearing aids, cochlear implants, and immersive audio systems; machine-to-machine communication with robust waveforms (FBMC); and hybrid VLC-RF systems . Key sub-fields include noise cancellation, psychoacoustic modeling, MIMO interference alignment, and 3D audio reproduction. Recent publications focus on deep learning for sound source localization, spatial audio measurement frameworks, and wind turbine noise analysis. Trends show integration of neural networks , higher-order ambisonics , and mobile measurement systems . Recipient of Werner v. Siemens Excellence Award 2006 for thesis supervision Awarded Best Technical Paper at AES 156th Convention (2024) Best Student Paper Award at FRUCT 2020 and AES Poster Award 2019 He has taught courses on Signals and Systems , Digital Data Transmission , and Acoustical Transducers , supervising over 30 diploma/master's theses and 15 PhD students. His lab, the Immersive Media Laboratory , develops advanced audio systems for live events and virtual environments.

• Signal Processing for Audio and Acoustics
• Machine-to-Machine Communication
• Psychoacoustics
• +۵ مورد دیگر

Murat Üçüncü is an Associate Professor in the Department of Electrical and Electronics Engineering at Başkent University . He holds a PhD (1989), MSc (1985), and BSc (1983) from Boğaziçi University, and an additional BSc from Kara Harp Okulu (1980). His academic career spans over 35 years, with a focus on RF systems, control theory, and defense technologies. PhD, Boğaziçi University (1989) MSc, Boğaziçi University (1985) BSc, Boğaziçi University (1983) BSc, Kara Harp Okulu (1980) His research interests include RF power amplifier design, MEMS-IMU systems, underwater communication, and graph signal processing for automotive RADAR. Recent work emphasizes adaptive Kalman filtering, avionics network simulations, and autonomous systems for UAVs. Key article trends show expertise in RF circuit optimization , Kalman filter adaptation , and graph-based classification algorithms . No scientific awards are mentioned in the provided data. Advised 21+ students in areas spanning control systems, avionics, and defense technologies Led projects on shaped charges, underwater communication systems, and avionics networks

• RF Power Amplifier Design
• Control Systems
• MEMS-IMU Systems
• +۵ مورد دیگر

Jari Lietzen serves as a Postdoctoral Researcher within the Department of Information and Communications Engineering at Aalto University, Finland, actively contributing to the Communication Engineering research group. His work focuses on pioneering ultra-low-power communication solutions for next-generation wireless networks, particularly through backscatter technologies that enable battery-free device operation by harvesting ambient energy. His research spans critical domains including Backscatter Communications for Ambient IoT, Physical Layer Security mechanisms like secret key generation, Visible Light Communication integration, and Quantum-Enhanced Wireless Systems. He investigates thin-film device fabrication using additive manufacturing, polarization conversion techniques, and reconfigurable intelligent surfaces for harmonic beam steering, addressing fundamental challenges in energy efficiency and security for constrained IoT environments. Analysis of his 13 publications (2018-2024) reveals a cohesive research trajectory centered on backscatter communications evolution. Key trends include the shift from foundational quantum backscatter paradigms (2018) toward practical hardware implementations like light-controlled thin-film devices (2024) and multi-antenna integrated systems. His work consistently bridges theoretical advances in physical layer security with experimental validation, demonstrating expertise in Sub-1GHz radio systems, satellite communications security, and hybrid VLC-backscatter architectures for ambient IoT. Within Aalto University's Communication Engineering group, Lietzen collaborates extensively on experimental projects involving prototype development and link budget validation, with strong partnerships including Boxuan Xie, Kalle Ruttik, and Riku Jäntti. His research directly supports emerging 6G technologies through innovations in passive wireless infrastructure and quantum-inspired communication protocols.

• Backscatter Communications
• Wireless Communications
• Internet of Things
• +۴ مورد دیگر

María José Madero Ayora is a Professor at the Department of Signal Theory and Communications , Universidad de Sevilla , specializing in nonlinear system modeling and digital predistortion for wireless communication systems. Her research focuses on Volterra series applications in power amplifier linearization, microwave measurements , and machine learning techniques for signal processing. Principal Investigator for projects like Statistical Signal Modeling for Brain-Computer Interfaces (PID2021-123090NB-I00) Recipient of the Arftg Roger Pollard Student Fellowship in microwave measurement Her work spans 5G waveform linearization , I/Q modulator impairments , and thermal memory effects in RF amplifiers. Recent publications combine sparse Bayesian methods with Volterra models to address nonlinear distortion in OFDM and visible light communication systems. She has supervised doctoral theses and participated in international conferences across the U.S., Europe, and Asia.

• Signal Processing
• Wireless Communication Systems
• Power Amplifier Modeling
• +۴ مورد دیگر

Aaron T. Hess is an Associate Professor at the University of Oxford, affiliated with the Wellcome Centre for Integrative Neuroimaging (WIN) and the Nuffield Department of Clinical Neuroscience (NDCN). His work focuses on advancing magnetic resonance imaging and spectroscopy methodologies, particularly at ultra-high field strengths. Education: BSc MSc (med) PhD Hess's research centers on Magnetic Resonance Imaging (MRI) and Spectroscopy (MRS), with emphasis on motion correction, ultra-high field RF safety, and parallel transmit simplification. He has pioneered contact-free methods for tracking head and heart motion and developed tools to streamline access to parallel transmit techniques at 7T MRI. His current efforts prioritize facilitating advanced imaging methodology development while enhancing usability and safety in ultra-high field applications. Analysis of his 2024-2025 publications reveals dominant themes in ultra-high field (7T) MRI innovation, including SNR optimization for perfusion imaging, vessel wall characterization, and multi-organ (brain/heart) RF mapping. Key methodological advances involve accelerated acquisition techniques, simulation-based optimization, and motion-robust approaches applied across neuroimaging and cardiovascular domains. No scientific awards were documented in the source material. Hess currently supervises DPhil candidates James Kent and Matthijs (Thijs) De Buck, with prior mentorship of Charles Millard, Sven Jaeschke, and Hongbae Jeong. Grant funding details were not specified in the provided information. He actively contributes to the Ultra High-Field MRI Physics and MR Spectroscopy research groups within the Neuromusculoskeletal Health and Science Lab at WIN, focusing on translating technical innovations into practical neuroimaging solutions.

• Magnetic Resonance Imaging
• Magnetic Resonance Spectroscopy
• Ultra-High Field MRI
• +۳ مورد دیگر

Elena Blokhina is an Associate Professor at the School of Electrical and Electronic Engineering, University College Dublin. She holds a Habilitation à Diriger des Recherches (HDR) from UPMC Sorbonne Universités, a PhD in physical and mathematical sciences, and an MSc with highest honors in physics from Saratov State University. Her research focuses on quantum computing, semiconductor quantum devices, and cryogenic electronics for quantum systems. Research Focus : Quantum computing architectures, semiconductor qubit design, and cryogenic integrated circuits Awards : IEEE Senior Member (2013), SFI Funded Investigator (2018), Ulysses Award (2013) Professional Roles : Visiting Professor at Sorbonne University (2014, 2017, 2021), Deputy Editor-in-Chief of IEEE Transactions on Circuits and Systems I (2018-2021) Her publications span quantum dot integration, cryogenic CMOS design, and topological qubit encoding strategies. She leads the Circuits and Systems Research Group at UCD and co-organizes international quantum computing workshops.

• Quantum Computing
• Quantum Electronics
• Semiconductor Devices
• +۵ مورد دیگر

Dr. Sawsan Abdul-Majid is a part-time Professor in the Faculty of Engineering at the University of Ottawa, where she has contributed since 2008. Holding a PhD in Optical Communication Systems and over 25 years of academic experience, she is licensed as a Professional Engineer (P.Eng.) by Professional Engineers of Ontario and serves as faculty advisor for the IEEE student chapter. Her educational background includes: PhD in Engineering, Optical Communications, Technical University of Varna, Bulgaria (1992) M.Sc. in Electrical Engineering, Digital Design, Technical University of Varna, Bulgaria (1984) Dr. Abdul-Majid's research spans photonics and women in STEM. Her early work focused on silicon photonics and optical communication systems, yielding over 45 publications. Since 2016, she has pioneered professional skills development through the Advancing New Canadian Women in Technology (ANCWT) program, which bridges immigrant and refugee women with STEM backgrounds into Canada's engineering workforce. Her publication record demonstrates deep expertise in silicon photonics, optical amplifiers, and integrated photonic circuits, with a strategic pivot toward empowering women in engineering through structured professional development. Her accolades include: 2018 Advancing Immigrant Women in STEM award (Impact AI) 2019 Diversity Initiative of the Year (Women in IT) 2023 Women in Leadership (WIL) award 2024 Champion of Diversity award (Ontario) PEO Certificate of Recognition for volunteer service SOPI awards (2020, 2021) She has supervised graduate students in photonics at the Photonics Technology Lab and secured significant grants for professional development initiatives. As President of ANCWT, she oversees a program with 70% employment placement and 30% licensure rates among participants. Her current teaching includes mandatory Professional Skills courses for 600+ Master of Engineering students annually. Dr. Abdul-Majid previously managed the Photonics Technology Lab (2008-2015), directing a $1.25M infrastructure budget and collaborating with CMC and CPFC on silicon photonics prototyping.

• Silicon Photonics
• Optical Communication Systems
• Women in STEM
• +۳ مورد دیگر

Professor Scott Roy is a Professor of Electronics in the Department of Electronics and Electrical Engineering at the University of Glasgow, where he also serves as Senior Senate Assessor for Academic Appeals. His research focuses on device transport phenomena, Monte Carlo simulation techniques, device scaling challenges, and the development of practical compact models for nanoscale devices subject to statistical variability. He is an active member of the Device Modelling and Microelectronics Systems Groups at the university. Professor Roy obtained his B.Sc. in Physics and Electronic Engineering in 1987 from the Department of Natural Philosophy at the University of Glasgow. He completed his Ph.D. in 1994 investigating "Engineering aspects of extended single electronic systems" under the supervision of Prof. John Barker. In the late 1990s, he worked as a Research Assistant with Prof. John Barker and Prof. Asen Asenov on several semiconductor projects including design of parallel processing machines and Monte Carlo simulation of advanced transistor devices. His research centers on the fundamental challenges of nanoscale semiconductor devices, with particular emphasis on statistical variability arising from atomic-scale effects. Professor Roy has made significant contributions to understanding random dopant fluctuations, line edge roughness, and their combined impact on transistor behavior and circuit performance. His work bridges device physics with practical circuit design, developing compact models that accurately capture statistical variations while remaining computationally efficient for circuit simulation. Recent extensions of his research include applications in photovoltaic systems and flexible electronics. Analysis of Professor Roy's publication record shows a consistent focus on statistical variability in nanoscale transistors, with increasing sophistication in modeling approaches and expanding application domains. His most recent work demonstrates evolution from fundamental device physics toward practical applications in photovoltaics and flexible electronics, while maintaining the core expertise in statistical variability analysis that has defined his career. Serves on program committee of ULIS (Ultimate Integration of Silicon) Investigator or co-investigator on grants from SEMATECH, EU, Fujitsu, and 11 EPSRC grants (6 currently active) Professor Roy has published over 100 papers in the field of semiconductor device physics and nanoelectronics. His research group likely includes PhD and Masters students working on various aspects of nanoscale device modeling, though specific student names are not provided in the available information. His work has significant implications for the semiconductor industry as device dimensions continue to shrink and statistical variations become increasingly critical for circuit design and manufacturing yield. As a member of the Device Modelling and Microelectronics Systems Groups, Professor Roy contributes to cutting-edge research in semiconductor device simulation using advanced methodologies including three-dimensional Monte Carlo techniques, drift-diffusion modeling, and non-equilibrium Green's function approaches. The group focuses on addressing the challenges of nanoscale electronics through sophisticated simulation and modeling techniques.

• Semiconductor Device Physics
• Nanoscale Electronics
• Monte Carlo Simulation
• +۵ مورد دیگر

Lyudmila Mykhailivna Logachova is a Senior Lecturer at Zaporizhzhia Polytechnic National University, affiliated with the Faculty of Information Security and Electronic Communications and the Department of Radio Engineering and Telecommunications. With over four decades of academic experience since joining the university in 1980, she has established herself as a dedicated educator and researcher in the field of microwave engineering and electromagnetic theory. Dr. Logachova specializes in the following research areas: Waveguide theory and analysis Microwave filter design and optimization Electromagnetic field propagation Antenna systems design Radio wave propagation in terrestrial environments Millimeter wave applications Her scholarly work demonstrates a consistent focus on waveguide theory and microwave engineering, with particular emphasis on harmonic filters, wave diffraction phenomena, and impedance analysis. Over her career, she has published 18 scientific papers including 2 patents, with recent work extending into applications of millimeter waves in medicine and advanced mobile communication systems. Her research shows a progression from fundamental waveguide theory to more applied technologies in telecommunications. Dr. Logachova has been actively involved in academic conferences, particularly the annual "Science Week" at Zaporizhzhia Polytechnic, where she has presented numerous papers on waveguide filters, antenna systems, and radio wave propagation. Her contributions to the field include both theoretical analyses and practical engineering solutions for high-power microwave systems. As an educator, she teaches several advanced courses including Technical Electrodynamics, Satellite Information Systems, and Microwave Electronic and Quantum Devices. Her pedagogical approach combines theoretical foundations with practical applications, preparing students for careers in radio engineering and telecommunications.

• Electrodynamics
• Waveguide theory
• Microwave engineering
• +۴ مورد دیگر

Gian Domenico AMENDOLA is a Professor at the Department of Computer Engineering, Modeling, Electronics and Systems at the University of Calabria, Italy. His research focuses on microwave engineering, antenna design, and advanced wireless communication systems for 5G, satellite, and automotive applications. Research areas include phased arrays, millimeter-wave systems, dielectric spectroscopy, and RF front-end design. Recent publications highlight innovations in Ka/Ka-band duplexers, E-band backhaul antennas, and AI-driven control for phased arrays. He contributes to technologies for SatCom on the Move user terminals and high-frequency waveguide transitions. Key collaborations involve BiCMOS-based millimeter-wave components and multilayer frequency-selective surfaces.

• Microwave Engineering
• Antennas and Propagation
• 5G Technology
• +۴ مورد دیگر