جستجوی استاد راهنمای دانشگاهی

Dr. Barry Cardiff is an Assistant Professor in the School of Electrical and Electronic Engineering at University College Dublin (UCD), where he has been a member of academic staff since September 2013. His career spans both industry and academia, with significant experience at Nokia Mobile Phone (UK) Ltd and Silicon & Software Systems (S3 group) before returning to complete his PhD at UCD. Education: B.Eng (1992), M.Eng.Sc. (1995), PhD (2011) from University College Dublin Professional Experience: Design Engineer at Nokia (1993-2001), Systems Architect at S3 group (2001-2007, 2011-2013) Current Position: Assistant Professor at UCD School of Electrical and Electronic Engineering Dr. Cardiff's research focuses on Digital Signal Processing applications in communication systems, with particular emphasis on theoretical analysis and practical implementation. His work bridges traditional communication theory with emerging biomedical applications, especially in wearable IoT sensors. He has made significant contributions to power/complexity reduction techniques in circuit design, specifically DSP algorithms for digitally assisted analog circuits. His research program addresses critical challenges in biomedical signal processing, sensor fusion, and efficient data transmission for healthcare applications. His recent publications demonstrate a strong trend toward biomedical applications of signal processing techniques, with a focus on ECG analysis, atrial fibrillation detection, and respiratory rate estimation using multimodal sensor fusion. The research shows a clear progression from traditional communication systems toward healthcare applications, with an emphasis on edge computing solutions that reduce power consumption in wearable devices. IEEE BioCas best paper award (2024) IEEE senior member since 2019 Active reviewer for multiple IEEE journals including Transactions on Biomedical Circuits and Systems, Circuits and Systems, and VLSI Systems Dr. Cardiff has supervised numerous research projects and has been instrumental in developing curriculum for digital communications, signal processing, and wireless systems. His teaching philosophy emphasizes open, friendly, and hands-on approaches that encourage independent thinking. He coordinates multiple modules including Communication Theory, Digital Electronics, DSP Technology, and Wireless Systems, demonstrating his commitment to both theoretical foundations and practical applications of electrical engineering principles. His research group works at the intersection of signal processing, machine learning, and biomedical engineering, developing innovative solutions for wearable healthcare monitoring. Current projects focus on event-driven processing architectures, decentralized classification systems, and signal quality-aware fusion techniques that enable robust performance in noisy real-world environments.

• Digital Signal Processing
• Communication Systems
• Biomedical Signal Processing
• +۶ مورد دیگر

Ian Sellers is Professor in Electrical Engineering at University at Buffalo's School of Engineering and Applied Sciences. He specializes in next-generation solar cells and materials for space photovoltaics, with appointments including Marie Curie Fellow (2004-2006) and Visiting Academic Fellow at Oxford (2009-2012). His research examines: Novel photovoltaic materials and architectures Ultra-low power electronic systems MEMS-based sensors and energy harvesters Beyond-CMOS computing technologies Recent publications demonstrate advances in ultra-low power sensor design (MEMS accelerometers), energy-efficient computing (MESO technology), and miniaturized imaging systems. The work shows consistent focus on optimizing power efficiency through innovations in circuit design, materials integration, and system architecture. Before joining UB, Sellers held positions as Presidential Professor at University of Oklahoma and Senior Research Scientist at Sharp Labs of Europe. His international collaborations include extended research stays in France and the UK.

• Photovoltaics
• Semiconductor Materials
• Solar Energy Conversion
• +۲ 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.

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

Chadi Jabbour is a Professor at Institut Polytechnique de Paris , specializing in analog/digital converter design, communication system linearization, and flexible receiver architectures. He leads the Communication Circuits and Systems (C2S) team at the Information Processing and Communication Laboratory (LTCI) in the Communications and Electronics (Comelec) department.

• Analog-to-Digital Converter Design
• Communication Systems
• Mixed-Signal Systems
• +۷ مورد دیگر

Marion K. Matters-Kammerer is a Full Professor of Electrical Engineering at Eindhoven University of Technology, leading research in terahertz (THz) and millimeter-wave systems. She holds positions in the Center for Wireless Technology, THz Electronics and Integration Lab, and RF Sensing & Communication Lab. Her expertise includes integrated circuits, antenna design, and power amplifier systems. She has led EU projects like 3DmicroTune and ULTRA, and co-authored over 70 journal/conference papers with 13 US patents. Education: MSc in Physics from École Normale Supérieure (Paris) and TU Berlin (1999), PhD in Physics from RWTH Aachen (2007). Past roles include Senior Scientist at Philips Research (1999–2011) and Guest Professor at RWTH Aachen (2009–2010). Research focuses on THz spectroscopy, mm-wave integrated circuits, and energy-efficient wireless systems. Key projects involve THz biosensing, 60 GHz sensor networks, and co-integration of photonics and electronics. Her work addresses UN SDGs like affordable and clean energy, and industry-academia collaboration via NXP Smart Mobility projects. Recent articles highlight advancements in mm-wave power amplifiers, waveguide integration, and radar signal processing. Grants include €2.5M for TeraIBs (2025–2028) and €1.8M for Future Wireless Interfaces (2024–2029). Labs include THz Electronics Lab and RF Sensing Team, advancing sensor and communication technologies.

• Terahertz Technology
• Millimeter-Wave Systems
• Integrated Circuits Design
• +۳ مورد دیگر

Tarik Graba is a Lecturer at Télécom Paris and a member of the Secure and Safe Hardware (SSH) research team within the Information Processing and Communication Laboratory (LTCI) department. His work focuses on hardware security, embedded systems, and cryptographic implementation. Education: Not explicitly mentioned Current Affiliations: Télécom Paris (Faculty), LTCI, SSH Team His research explores designing secure and reliable integrated systems , with emphasis on managing complexity, power consumption, and flexibility in embedded environments. He contributes to side-channel analysis , lightweight cryptographic algorithms , and hardware-based security mechanisms . The 15 most recent publications highlight his work in lightweight cryptography , hardware security , and embedded system optimization , particularly focusing on RISC-V extensions , side-channel leakage , TRNG circuits , and secure cryptographic processors . Scientific Awards Academic Palms award, Télécom Paris (2021) Tarik Graba collaborates extensively in hardware security research and has advised multiple projects on physical security countermeasures and embedded cryptographic systems . He works with teams like the SSH Laboratory to develop secure hardware architectures.

• Hardware Security
• Embedded Systems Design
• Integrated Circuit Reliability
• +۳ مورد دیگر

Lars Magne Lundheim is a Professor at the Department of Electronic Systems at Norwegian University of Science and Technology (NTNU). He holds an MSc and PhD in electrical engineering from NTNU. His career includes roles as Associate Professor (2002–2010), Research Scientist at SINTEF, and part-time academic positions. He belongs to the Signal Processing Group and focuses on signal processing for radar systems, power consumption optimization, and engineering education. His research spans technical domains like multicarrier communication systems and pedagogical innovations such as project-based learning and curriculum design. Notable contributions include work on sustainability integration in STEM education and competency development through active learning strategies. Lundheim is a Senior Member of IEEE and has reviewed for major journals/conferences including IEEE Transactions on Signal Processing. Recent publications emphasize educational frameworks linking mathematics with engineering practice, while earlier works address technical challenges in radar distortion correction and power-efficient multiplier design. He has contributed to 16 PhD examination committees and teaches courses like TTT4270 (Electronic System Design) and TTT4260 (Electronic System Design and Analysis). Lundheim’s outreach includes presenting at events like the Læringsfestivalen and collaborating on national initiatives like the 'Fremtidens teknologistudier' educational strategy report. His interdisciplinary work bridges technical innovation with pedagogical excellence in electrical engineering education.

• Signal Processing
• Engineering Education
• Frequency Domain Radars
• +۳ مورد دیگر

John A. McNeill is the Bernard M. Gordon Dean of Engineering at Worcester Polytechnic Institute (WPI), where he has been since 1994. He holds a PhD in Electrical, Computer, and Systems Engineering from Boston University and has maintained strong industry ties through initiatives like the New England Center for Analog and Mixed Signal Design. His research focuses on mixed-signal integrated circuits, biomedical sensors, and low-power systems, including a wearable wireless sensor for pressure ulcer prevention. He has advised numerous graduate and undergraduate students on projects involving analog and digital circuit design. McNeill’s academic journey includes a BS from Dartmouth College (1983), MS from the University of Rochester (1991), and PhD from Boston University (1994). He has received prestigious awards like the NSF CAREER Award (1997), WPI’s Chairman’s Exemplary Faculty Prize (2007), and the Eta Kappa Nu Outstanding Professor Award (multiple times). His work has resulted in six patents and over 60 peer-reviewed publications. He leads initiatives to enhance engineering education, emphasizing project-based learning and interdisciplinary collaboration. His professional affiliations include IEEE, the American Society for Engineering Education, and the National Academy of Inventors.

• Biomedical Sensing
• Integrated Circuits
• Microelectronics
• +۳ مورد دیگر

Zhangming Zhu is a Professor at Xidian University in the School of Microelectronics . He specializes in Microelectronics and Circuit Design , with a focus on Analog-to-Digital Converters (ADCs) , CMOS Technology , and Low-Power Electronics . His work addresses challenges in high-speed, high-precision, and energy-efficient circuit design. Research Interests: His publications highlight expertise in ADCs, PLLs, energy harvesting, biomedical sensors, and RF systems. Recent Publications: 2025 papers include a 12-bit 1.5-GS/s ADC , a 5-18-GHz Quadrature Receiver , and 20-bit SAR ADC with thermal error suppression. Collaborations: Frequently co-authors with Shubin Liu, Yi Shen, Ruixue Ding, and others. Applications: Work spans consumer electronics, IoT, biomedical devices, and energy-efficient systems.

• Microelectronics
• Circuit Design
• Analog-to-Digital Converters
• +۳ مورد دیگر

QIU Lei is a Professor at the Department of Electronic Science & Technology, TongJi University. His work focuses on analog and digital circuit design with applications in communication systems and biomedical engineering. Research Fields : High-Speed ADCs, Low Power Sensors, Signal Chain Processing, Cognitive Radio Courses Taught : Analog IC Analysis and Design (Undergraduate), Advanced IC Design (Graduate) QIU Lei’s research emphasizes high-speed and ultra-high-speed analog-to-digital converters (ADCs) using time- and frequency-interleaving architectures, low-power temperature sensors, and baseband processing systems. His publications highlight implementations in 65nm CMOS and SiGe BiCMOS technologies for applications like software-defined radio, PET imaging, and 5G mm-wave systems. Key trends in his work include digital calibration techniques for SAR ADCs, time skew compensation in time-interleaved systems, and energy-efficient circuit design for biomedical and radar applications. QIU Lei has supervised students in projects related to ADC architectures, cognitive radio receivers, and frequency synthesizers.

• Analog-to-Digital Converters
• Integrated Circuit Design
• Low Power Electronics
• +۳ مورد دیگر

Franco Maloberti is a distinguished Professor of Electrical and Computer Engineering at the University of Macau's Faculty of Science and Technology. With a prolific research career spanning over three decades, he has authored over 315 publications in top-tier IEEE journals and conferences, demonstrating sustained scholarly productivity and significant contributions to the field of analog and mixed-signal circuit design. His educational background, though not explicitly detailed in the provided text, is inferred from his research trajectory to include advanced degrees in Electrical Engineering, likely from Italian institutions given his early career patterns. His research focuses on analog circuit design, data converters, low-power systems, biomedical circuits, and power management solutions for modern electronic applications. Professor Maloberti's publication record shows remarkable consistency and impact, with recent work (2020-2024) demonstrating continued innovation in high-speed data converters, biomedical instrumentation, and energy-efficient circuit design. His work bridges theoretical advances with practical implementations, often addressing challenges in emerging applications like implantable medical devices, high-speed communication systems, and edge computing architectures. His scientific contributions include pioneering work in data converter architectures, low-voltage circuit techniques, and power management solutions. The breadth of his research is evident in publications spanning IEEE Journal of Solid-State Circuits, IEEE Transactions on Circuits and Systems, and major conferences like ISCAS, ISSCC, and ESSCIRC. Professor Maloberti has mentored numerous researchers who have become prominent in the field, including Edoardo Bonizzoni, Rui Paulo Martins, and Sai-Weng Sin. His collaborative network spans institutions worldwide, with particularly strong ties to the University of Macau where his recent work is primarily conducted. His laboratory focuses on cutting-edge research in analog and mixed-signal integrated circuits, with current projects addressing challenges in biomedical instrumentation, high-speed data conversion, and energy-efficient circuit design for next-generation electronic systems.

• Analog Circuit Design
• Data Converters
• Mixed-Signal IC Design
• +۵ مورد دیگر

Christian Vogel is a Senior Lecturer affiliated with the Institute for Signal Processing and Speech Communication at TU Graz. His work focuses on advanced signal processing techniques, analog/digital conversion systems, and mixed-signal architectures. Key research areas include time-interleaved ADC error correction, digital predistortion for RF systems, and EVM estimation methodologies. Education: Holds a Dr.techn. (Doctor of Engineering) and Dipl.-Ing. (Diploma in Engineering). His research emphasizes practical applications in mixed-signal systems, including calibration techniques for high-resolution ADCs, nonlinear system compensation, and energy-efficient transmitter design. Recent work explores optimization-based quantization, crest factor reduction in envelope tracking, and adaptive filtering for digital predistortion. Publications span over 15 years, addressing topics ranging from PWM-based RF transmission to all-digital phase-locked loops. His contributions bridge theoretical signal processing with hardware implementation challenges in modern electronic systems. Teaching expertise includes analog and digital signal processing, with authorization to teach at TU Graz. Active in industry-academia collaboration, his work aims to improve system performance in telecommunication and embedded electronics.

• Signal Processing
• Analog/Digital Conversion (ADCs)
• Mixed-Signal Systems
• +۵ مورد دیگر

Xinyu Qin is a Professor at the Department of Electrical and Computer Engineering within the School of Information Engineering at Guangdong University of Technology. His research focuses on advanced robotics, signal processing, and integrated circuit design, contributing to fields like multi-manipulator systems and Delta-Sigma modulators. Education: Affiliated with prestigious institutions through collaborative research Research Interests: Robotics, Machine Learning, Electrical Engineering His recent publications (2023-2025) demonstrate expertise in robotic task allocation, high-speed circuit design, and explainable AI for healthcare. Award-winning work includes Interactive Explainable Deep Survival Analysis (2024) and SVP: Safe and Efficient Speculative Execution Mechanism through Value Prediction (2023). Key collaborations involve Guoxing Wang and Liang Qi across 16 records. Current projects involve optimizing convolutional neural network accelerators, analyzing atmospheric river impacts on Greenland's crustal deformation, and advancing MASH Delta-Sigma modulator architectures. His work bridges theoretical innovation with practical applications in smart energy systems and autonomous robotics.

• Robotics
• Machine Learning
• Electrical Engineering
• +۳ مورد دیگر

Bingbing Yao is a researcher with expertise spanning analog/digital integrated circuit design, blockchain systems, and scholarly knowledge graph applications. Her work focuses on high-precision ADC calibration , deep reinforcement learning for blockchain sharding , and semantic organization of scientific knowledge .

• Analog-to-Digital Converters (ADCs)
• Integrated Circuit Design
• Signal Processing
• +۳ مورد دیگر

Shubin Liu is a researcher specializing in microelectronics, integrated circuits, and analog circuit design. His work focuses on advanced ADC architectures (e.g., pipelined SAR, time-interleaved, noise-shaping), phase-locked loops (PLL), and sensor readout systems for MEMS and biomedical applications. Recent publications highlight collaborations with Zhangming Zhu and colleagues on high-speed, low-power, and PVT-robust designs. Research interests span Analog-to-digital conversion Low-power RF front-ends Calibration techniques High-frequency oscillators Biopotential amplifiers Time-interleaved ADCs His 15 most recent articles (2023-2025) explore power-efficient ADCs, jitter reduction in PLLs, and sensor interfaces, with keywords including Electronics, Integrated Circuits, Signal Processing, and Microelectronics. Notable subfields: SAR ADCs, Time-Domain Interpolation, Capacitor Mismatch Compensation, and IoT-optimized designs. Shubin Liu’s work is published in journals like IEEE Journal of Solid-State Circuits , Microelectronics Journal , and conferences such as CICC and ISSCC, reflecting his active engagement in cutting-edge analog and mixed-signal research.

• Microelectronics
• Integrated Circuits
• Analog Circuit Design
• +۳ مورد دیگر