جستجوی استاد راهنمای دانشگاهی

Christian Vogelمشاهده پروفایل

مدرس ارشد

• Signal Processing
• Analog/Digital Conversion (ADCs)
• Mixed-Signal Systems
• +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.

Christiane Antweilerمشاهده پروفایل

پژوهشگر

• Digital Signal Processing
• Speech and Audio Processing
• Acoustic System Identification
• +۶ مورد دیگر

Dr.-Ing. Christiane Antweiler is a Researcher at the Institute of Communication Systems (IKS) , part of RWTH Aachen University 's Faculty of Electrical Engineering and Information Technology. Her work focuses on algorithms for digital speech/audio processing, multi-channel system identification, head-related transfer functions (HRTFs), and acoustic/echo cancellation in medical and teleconferencing applications. Research topics: Medical diagnostics signal processing , time-variant system identification , HRTF measurement , and real-time audio implementation . Current projects: Connected Visual Reality (CoVR) , Acoustic Tube Endoscopy , and Spatial Rendering with quasi-continuous HRTFs. Her 15 most recent publications (2025–2011) span adaptive filtering , acoustic system identification , and 3D audio rendering , with a strong emphasis on perfect sequence excitation and medical applications . She received the Best Paper Award at ICMCIS 2022 for her work on spectrum monitoring. Teaching roles include Information Theory and Source Coding (since 2009) and Digital Speech Processing 1 (2014–2015). Tools used: Matlab , C/C++ , and RT Proc for real-time audio processing.

Mesut Kartalمشاهده پروفایل

استاد

• Microwave Circuits and Systems
• Radar Systems
• Synthetic Aperture Radar (SAR)
• +۳ مورد دیگر

Prof. Dr. Mesut Kartal is a Professor at Istanbul Technical University's Department of Electronics and Communication Engineering within the Faculty of Electrical and Electronics Engineering. His expertise lies in Microwave Circuits and Systems, Radar Systems, and Synthetic Aperture Radar (SAR) Imaging. He holds a BSc (1990), MSc (1993), and PhD (2000) from ITU. Prof. Kartal has contributed significantly to research on SAR data simulation, radar signal processing, and microwave imaging technologies, collaborating on projects like the ITU SAGRES satellite ground station. His work spans theoretical advancements and practical implementations in radar systems, remote sensing, and signal processing algorithms. Education: BSc in Electronics and Communication Engineering, ITU (1990) MSc in Electronics and Communication Engineering, ITU (1993) PhD in Electronics and Communication Engineering, ITU (2000) Research Interests: Kartal focuses on microwave circuit design, SAR system engineering, radar imaging techniques, and signal processing for remote sensing applications. His recent work includes developing advanced SAR algorithms, microwave biosensors, and anti-jamming methods for 5G networks. Key Contributions: Co-developed SAR raw-data simulation tools and algorithms for real-time SAR imagery. Contributed to radar systems capable of detecting and tracking moving targets (GMTI). Explored applications of microwave imaging in biomedical and environmental monitoring. Labs/Teams: He is affiliated with the ITU VLSI Measurement Laboratories and leads research groups in radar signal processing and microwave engineering. His team collaborates on projects involving SAR data analysis, antenna design, and electromagnetic compatibility solutions.

• Wireless Communications
• Information Theory
• Resource Allocation
• +۳ مورد دیگر

Dr. Na Yi is a Senior Research Fellow at the University of Surrey's Institute for Communication Systems, with a PhD in Electrical Engineering from the University of Surrey (2009). Her research focuses on wireless communications, physical layer resource allocation, optimization, and information theory. She has advised multiple PhD students, including Juan Carlos de Luna Ducoing (current) and Farman Ullah, Turki N Yosef, Vijay Bhaskar, and Janice George (previous). Her work spans projects like WHERE2, ACROPOLIS, and C2POWER (EU-FP7 initiatives). She has published extensively on topics including MIMO systems, beamforming, and 5G/URLLC technologies. Notable collaborations include EU-China 5G trials and 5G-DRIVE project contributions. Dr. Yi's publications include over 60 articles in journals like IEEE Trans. Wireless Commun. and conferences such as GLOBECOM and VTC. Her doctoral thesis, Cooperative Communication for Future Cellular Networks , underscores her expertise in cooperative relaying and network optimization. She actively participates in standardization efforts and has contributed to frameworks like 5G network slicing for edge services. Her research bridges theoretical insights with practical implementations in next-generation wireless systems.