جست‌وجوی استاد و پژوهشگر

Clemens Klöckمشاهده پروفایل

استاد

• Radar Systems
• Passive Radar
• Signal Processing
• +۳ مورد دیگر

Clemens Klöck is a Professor for Information Technology at Esslingen University of Applied Sciences since 2019, serving as Academic Director for the Computer Engineering Bachelor program. His office is located at Campus Esslingen Flandernstraße, Room F 01.454, with consultation hours on Tuesdays from 13:30 to 14:30 by appointment. Education: 1997-2002: Studies of Electrical and Information Engineering at Universität Karlsruhe (TH) (now KIT) 2002-2007: Research Assistant at the Communication Engineering Lab, Universität Karlsruhe (TH) 2007: PhD ("Auction-based Medium Access Control") from Universität Karlsruhe (TH) Professor Klöck's research centers on radar systems, with a particular emphasis on passive radar and signal processing. His work spans wireless communications, automotive radar applications, and the development of advanced signal processing techniques. He has made contributions in FIR filter design using sparse optimization methods and applied deep learning for target classification in radar systems. His research also explores the utilization of broadcast waveforms for passive radar. His recent publications (2019-2021) highlight a consistent focus on radar technology, integrating signal processing with machine learning. Notable works include moving target classification using dual automotive radar systems with CNNs and the analysis of broadcast waveforms (LTE FeMBMS, DVB-SH) for passive radar applications. This demonstrates his commitment to advancing radar systems through innovative signal processing and AI techniques. Information regarding scientific awards, advising activities, grants, and specific research labs or teams is not provided in the given text.

Christian Sejer Pedersenمشاهده پروفایل

دانشیار

• Acoustics
• Signal Processing
• Low-Frequency Noise
• +۴ مورد دیگر

Christian Sejer Pedersen is an Associate Professor at the Department of Electronic Systems, Aalborg University, within The Technical Faculty of IT and Design. His research focuses on acoustics, signal processing, and low-frequency noise, particularly in environmental and engineering contexts. He has contributed to studies on wind turbine noise, wireless sound zones, and psychoacoustic phenomena. Key research areas include low-frequency sound zones, packet loss concealment in wireless audio systems, and noise measurement technologies. His work integrates theoretical models with practical applications, addressing both technical and regulatory challenges in noise control. Pedersen has been involved in 12 major projects, including ISOBEL: Interactive Sound Zones for Better Living and initiatives on noise assessment methodologies. His publications span 20+ years, with recent emphases on robust sound zone filters, AR models for latency reduction, and free-field correction techniques. Media engagements highlight his expertise in public debates about noise from infrastructure projects like wind turbines and urban developments. Advising and grants involve multidisciplinary collaborations, focusing on sustainable energy systems and acoustic engineering innovations. His lab work centers on advanced audio systems and environmental noise mitigation strategies. Pedersen's contributions bridge academic research with real-world applications in acoustics and signal processing.

Jelena R. Djordjevic Kozarovمشاهده پروفایل

استادیار

• Metrology and Measurement Technology
• Digital Signal Processing
• FIR Filter Design
• +۶ مورد دیگر

Jelena R. Djordjevic Kozarov is an Assistant Professor at the Faculty of Electronics, University of Niš, specializing in Metrology and Measurement Technology. She holds a PhD in Electrical Engineering and Computer Science from the University of Novi Sad and has been actively contributing to research in digital signal processing, FIR filter design, and remote laboratory education. Research Interests: Her work spans advanced topics in digital measurement systems, including stochastic digital measurement methods, multiplierless 2D FIR filters, and Hilbert transforms. She applies these techniques in both theoretical signal processing and practical biomedical and educational applications. Publication Trends: Her recent publications demonstrate a strong focus on efficient digital filter design, mathematical modeling of signal systems, and innovative measurement techniques. The integration of theoretical analysis with experimental validation, especially in EOG signal processing and remote labs, highlights her interdisciplinary approach. Scientific Recognition: Research Associate (elected 2020) IEEE Member since 2008 Grants and Projects: She is currently involved in 2 national and 1 international research project, advancing work in measurement technology and signal processing. She has advised no students listed in the provided text but contributes significantly through collaborative research. Laboratories and Teams: While specific lab names are not mentioned, her work on remote laboratories and digital measurement systems suggests active involvement in educational technology and instrumentation teams at the Faculty of Electronics.

• Robotics
• Biomechatronics
• Human-Machine Interaction
• +۷ مورد دیگر

P.P. Jonker is a full Professor in the Department of Biomechatronics & Human-Machine Control within the Faculty of Mechanical Engineering at Delft University of Technology. His research bridges robotics, intelligent systems, and human-centered control technologies, with a strong emphasis on practical applications in automation and machine perception. His research interests span Robotics , Biomechatronics , Human-Machine Interaction , Computer Vision , Machine Learning , and Adaptive Filtering . He focuses on enabling robots to operate autonomously in unstructured environments through active vision, sensor fusion, and intelligent control strategies. The recent publications highlight a consistent trend in applying deep learning to visual data synthesis, optimizing hardware-efficient signal processing, and advancing robotic perception and control. These works reflect a strong integration of theoretical control methods with real-world engineering implementation, particularly in autonomous systems and industrial automation. Active contributor to IEEE and ACM publications Research featured in public media on autonomous vehicles and robot coworkers Supervised 19 academic works, indicating active mentorship His work has been supported through academic grants and collaborative projects, with applications in autonomous driving, industrial robotics, and smart sensing. He collaborates across disciplines, particularly in control theory, computer vision, and embedded systems. Jonker is involved in pioneering research on human-robot collaboration, where biomechatronic principles are applied to enhance robot adaptability and safety in shared workspaces. His lab likely focuses on real-time control systems, sensor integration, and machine learning for robotic autonomy.

• VLSI and Circuit Design
• Wireless Sensing
• Battery Diagnostics
• +۴ مورد دیگر

Byunghoo Jung is a Professor of Electrical and Computer Engineering at Purdue University's Elmore Family School of Electrical and Computer Engineering, located at the Materials and Electrical Engineering Building in West Lafayette, Indiana. He holds a BS from Yonsei University (1990), an MS from KAIST (1992), and a PhD from the University of Minnesota (2005). His research focuses on VLSI and circuit design for wireless sensing applications, including battery diagnostics, magnetic tracking systems, and energy harvesting. He leads projects in automotive electronics, biomedical instrumentation, and low-power embedded systems. Education: PhD, University of Minnesota at Twin Cities, 2005 MS, Korea Advanced Institute of Science and Technology, 1992 BS, Yonsei University, 1990 Research interests span circuits and systems for wireless sensing , with emphasis on: Non-intrusive load monitoring Battery management systems Magnetic tracking for medical/surgical applications Low-power sensor networks CMOS integration of optical and ferroelectric devices His work bridges theoretical circuit design with practical implementations in automotive, biomedical, and IoT domains. Recent publications (2020-2025) emphasize advancements in: High-precision current sensing systems Magnetic tracking for VR/AR and surgical navigation Integrated photonic circuits in advanced CMOS nodes Ferroelectric-based oscillator design Notable innovations include: Urine-powered battery systems for diaper sensors Wireless chip-to-chip communication in 3D ICs Self-healing CMOS designs for deep-scaled technologies His research lab develops both hardware prototypes and algorithmic frameworks for next-generation sensor systems.

Issa Panahiمشاهده پروفایل

استاد

• Digital Signal Processing
• Biomedical Applications
• Noise Cancellation
• +۵ مورد دیگر

Issa Panahi is a Professor of Electrical and Computer Engineering and Affiliate Professor of Bioengineering at the University of Texas at Dallas (UTD). He joined UTD in 2001 after 18 years in industry and research. His research focuses on digital signal processing for biomedical applications, including hearing aids, noise cancellation, and smartphone-based audio systems. He leads the Statistical Signal Processing Research Laboratory and the Audio/Acoustic/Speech Research Laboratory, emphasizing real-time signal processing innovations. Education: Ph.D. in Electrical Engineering from the University of Colorado Boulder. Key roles include IEEE Senior Member, Chair of the IEEE-Dallas Signal Processing Society, and co-founder of the IEEE-Dallas EMBS Chapter. Research Interests: Noise cancellation, signal detection, acoustic signal processing, hearing aid technology, and portable digital systems. Over $3.5M in research funding from NIH, DoD, VA, and industry partners like Texas Instruments. Collaborations span UT Southwestern, Texas Health Resources, and international institutions like Kansai University, Japan. Awards: IEEE Fellow (2024), Bob Owens Best Student Paper Award (2016), and recognition for contributions to hearing aid technology. Supervised numerous graduate students, with over 200 publications in journals and conferences. Labs: Statistical Signal Processing Research Laboratory and Hearing Aid Project Lab. Current projects include smartphone integration for hearing aids and machine learning-based asthma risk prediction via IoT.

• Control Systems
• Fuzzy Logic
• Sliding Mode Control
• +۳ مورد دیگر

Драган С. Антић је редовни професор на Катедри за Аутоматику на Факултету за електронику у Нишу, Универзитета у Нишу, Србија. Изабран је у звање професора 2005. године након што је целокупно академско образовање стекао на истом факултету. Његово образовање укључује: Дипломирао у области Аутоматика (1987) Магистрирао у области Аутоматика (1991) Докторирао у области Аутоматика (1994) Професор Антић се бави истраживањима у области управљачких система са посебним акцентом на слайдинг мод контролу, фази логику, адаптивне контролере и примену неуралних мрежа. Његов рад обухвата дизајн филтера за смањење шума, моделовање динамичких система помоћу ортогоналних функција и решавање проблема у системима са не-минималном фазом. Посебно је истакао се у развоју контролних алгоритама за анти-лок кочионе системе и адаптивне PID контролере. Са 51 радом у часописима са импакт фактором, његови најновији радови фокусирају се на интеграцију ортогоналних ендокриних неуралних мрежа у управљачке системе, што је довело до побољшаних решења у аутомобилској и индустријској аутоматизацији. Његове публикације објављене су у водећим часописима као што су IEEE/ASME Transactions on Mechatronics и Neural Networks. Ниједна специфична научна награда није наведена у пруженим текстовима. Тренутно је активан у истраживачким пројектима, учествујући у 2 национална и 8 интернационалних пројеката. Његов рад на овим пројектима наставља да развија теоријске основе и практичне примене управљачких система, посебно у домену неуралних мрежа и адаптивних техника.

Wojciech Pieczynskiمشاهده پروفایل

استاد

• Signal Processing
• Image Segmentation
• Statistical Modeling
• +۳ مورد دیگر

Prof. Wojciech Pieczynski is a Professor at Telecom SudParis, affiliated with the SAMOVAR department. His research focuses on statistical signal processing, hidden Markov models, and their applications in image segmentation, data analysis, and transportation systems. He has published extensively on topics including semi-Markov chains, triplet Markov models, and hybrid machine learning approaches. His work integrates advanced statistical methodologies with real-world challenges such as traffic state prediction, non-stationary data analysis, and biomedical activity classification using wearable sensors. Key contributions include innovations in filtering techniques, model order reduction, and unsupervised learning algorithms.

Håkan Johanssonمشاهده پروفایل

استاد

• Signal Processing
• Communications Engineering
• Digital Filter Design
• +۳ مورد دیگر

Håkan Johansson is a Professor at the Department of Electrical Engineering (ISY) at Linköping University, Sweden, affiliated with the Division of Communication Systems (KS). This division conducts research and education in communications engineering, statistical signal processing, and network science, emphasizing strong industrial collaborations and practical research applications. His research spans Signal Processing , Communications Engineering , and Digital Filter Design , focusing on low-complexity and reconfigurable solutions for communication systems. Key areas include power amplifier linearization, advanced sampling techniques, and equalization algorithms for 5G/6G and massive MIMO systems, with strong emphasis on implementation efficiency and real-world applicability. Recent publications (2024-2025) reveal a concentrated effort on energy-efficient signal processing for next-generation wireless infrastructure. Dominant themes include linearization of power amplifiers in multi-antenna systems, reconstruction of complex signals from nonuniform sampling, and machine learning integration for UAV communications, reflecting industry-driven priorities for 6G development. No scientific awards were documented in the provided materials. Professor Johansson operates within a robust research ecosystem at ISY, supervising PhD students in the Communication Systems division alongside colleagues like Erik G. Larsson (Head of Division). While specific grant details are absent, his extensive publication record indicates sustained funding for high-impact telecommunications research. He contributes to Linköping University's Communication Systems division, a collaborative hub bridging theoretical signal processing with industrial applications. The team specializes in end-to-end communication solutions from algorithm design to hardware implementation, maintaining strong ties with Sweden's telecommunications sector for rapid technology transfer.

Martijn van Beurdenمشاهده پروفایل

استاد

• Computational Electromagnetics
• Inverse Problems
• Numerical Methods
• +۳ مورد دیگر

Martijn van Beurden is a Full Professor in the Electromagnetics group at Eindhoven University of Technology's Department of Electrical Engineering. His research focuses on computational electromagnetics for high-tech systems, particularly inverse scattering problems and electromagnetic field optimization. Key affiliations: Electromagnetic and Multi-Physics Modeling and Computation Lab, Center for Wireless Technology Eindhoven, EAISI Foundational Research Interests : Specializes in numerical methods for electromagnetic wave analysis, design, and detection. Areas include inverse scattering, integral equations, nonlinear optimization, and modeling of stochastic/uncertain electromagnetic fields. Current projects address periodic structures, antenna design, and soft X-ray metrology. Scientific Awards : C.I.V.I. prize for Electrical Engineering (MSc thesis, 1997) ASML prize for best PhD thesis in applied research (2004) Advising & Collaborations : Collaborates with researchers like Stefan Eijsvogel, Roeland Dilz, and Radovan Bojanic on computational electromagnetics projects.

Qiaochu Zhangمشاهده پروفایل

استادیار

• Mixed-Signal VLSI Design
• Electronic Design Automation
• Mixed-Signal Computing
• +۱ مورد دیگر

Qiaochu Zhang serves as Assistant Professor in the Charles L. Brown Department of Electrical and Computer Engineering at the University of Virginia, joining in Summer 2024 after industry experience at NXP Semiconductors. His research spans analog/mixed-signal IC design, electronic design automation, and hardware acceleration for complex computational problems. Education: B.S. in Physics (Hons.), Fudan University (2017) Ph.D. in Electrical Engineering, University of Southern California (2024) Research focuses on four interconnected domains: Mixed-Signal VLSI Design : Advanced data converters, frequency synthesizers, and transceivers enabling high-speed wireless systems Electronic Design Automation : Machine learning-driven frameworks for automating analog circuit customization and performance optimization Mixed-Signal Computing : Hardware accelerators for neural networks and NP-hard combinatorial optimization problems Low Power Design : Energy-efficient circuit techniques for portable and embedded applications His publication trajectory (2021-2025) reveals a strategic evolution toward time-domain circuits and analog accelerators, with increasing emphasis on stochastic computing for SAT solvers and memristor-based quadratic programming. Key innovations include ultrafast metastability-resilient solvers and synthesizable TDC architectures that bridge digital precision with analog efficiency. Scientific recognition includes: USC Provost’s Fellowship (2017-2020) USC Ming Hsieh Institute Ph.D. Scholar (2021-2022) IEEE ISSCC Student Travel Grant (2023) IEEE SSCS Predoctoral Achievement Award (2022-2023) Dr. Zhang actively recruits Ph.D. students for his UVA research group, focusing on integrated circuit design and hardware acceleration. Prospective students must apply through UVA's Computer Engineering or Electrical Engineering graduate programs. His research is supported by faculty startup resources and builds on prior industry collaboration with NXP Semiconductors. The research group operates from Rice Hall 309, establishing specialized facilities for mixed-signal/RF circuit prototyping and EDA tool development. Current efforts focus on translating theoretical circuit innovations into practical computing solutions for optimization-intensive applications.

Volkmar Sauerlandمشاهده پروفایل

پژوهشگر

• Biogeochemical Ocean Modeling
• Optimization Algorithms
• Parameter Calibration
• +۳ مورد دیگر

Volkmar Sauerland is a Researcher in the Biogeochemical Modelling Unit at GEOMAR Helmholtz Centre for Ocean Research Kiel. He has been working at GEOMAR since November 2022 (with a brief gap between March and October 2022), focusing on algorithms for discrete and continuous optimization problems applied to biogeochemical ocean models. Prior to this, he spent seven years (2013-2020) as a PostDoc and Research Associate in the Discrete Optimization Group at Christian-Albrechts-Universität zu Kiel (CAU). Dr. Sauerland completed his PhD in 2012 at CAU with a thesis titled "Algorithm Engineering for some Complex Practice Problems: Exact Algorithms, Heuristics and Hybrid Evolutionary Algorithms" and earned his Diploma in 2003 with research on "Mathematical optimization in the design of cosine-modulated filter banks." His educational background reflects the dual focus that characterizes his research career spanning both mathematical optimization and oceanographic applications. Sauerland's research interests bridge two distinct domains: mathematical optimization and marine biogeochemistry. His work focuses on developing and adapting algorithms for parameter optimization and calibration of biogeochemical ocean models. He is currently involved in the EU project OceanICU "Understanding Ocean Carbon," which examines the ocean's role in the global carbon cycle. His research combines theoretical work in optimization algorithms with practical applications in ocean modeling, creating a unique interdisciplinary niche. Analysis of his publication record reveals a clear trajectory from purely theoretical optimization work toward increasingly ocean-focused applications. His earlier publications (2007-2013) focus primarily on combinatorial optimization, permutation problems, and evolutionary algorithms. Starting around 2015, his work shifts toward oceanographic applications, with nearly all recent publications (2017-2023) addressing biogeochemical modeling challenges. The most recent papers demonstrate sophisticated approaches to model calibration, parameter estimation, and uncertainty analysis in complex marine systems. Dr. Sauerland has been involved in significant research projects including the EU's OceanICU initiative and has presented his work at major conferences such as the Ocean Sciences Meeting 2020 in San Diego and the Ocean Deoxygenation conference in Kiel. His collaborative work spans multiple institutions, with frequent co-authorship with researchers from GEOMAR and CAU. While specific grant information isn't detailed in the provided text, his ongoing EU project involvement suggests successful grant acquisition. Based at GEOMAR's Kiel facility, Sauerland works within the Marine Biogeochemistry research division, specifically in the Biogeochemical Modelling Unit. His office is located in Room 5.506, Tower 5, Floor 5 at GEOMAR's Wischhofstraße 1-3 address. His research contributes to GEOMAR's broader mission of understanding ocean processes and their role in Earth's climate system, particularly through the development of advanced computational methods for model calibration and evaluation.

Friedel Gerfersمشاهده پروفایل

استاد

• High-Speed Integrated Circuits
• Energy-Efficient RF Transceiver Design
• Silicon Photonics
• +۷ مورد دیگر

Prof. Dr.-Ing. Friedel Gerfers serves as the Einstein-Professor for Mixed Signal Circuit Design at the Technical University of Berlin since 2019, and has led the Mixed Signal Circuit Design (MSC) group since 2015. Prior to academia, he held industry roles as Design Manager at Apple Inc. (2014-2015) and Technical Director at Integrated Device Technology (IDT) (2012-2014). High-Speed Integrated Circuits (GS/s range) Energy-Efficient RF/Transceiver Architectures Silicon Photonics Applications Ultra-Low-Power Sensor Readout Systems His research focuses on mixed-signal calibration algorithms , semiconductor design flows , and FinFET technology down to 14nm. Recent work emphasizes 22nm FD-SOI CMOS for high-performance applications. Key publication trends include: High-Speed ADC/DAC designs (12-18.5 GS/s) Advanced RF sampling techniques Error correction in current-steering DACs Optical interconnects (VCSEL-based systems) Current affiliations: Technical University of Berlin IEEE Conference Publications German Microwave Conference (GeMiC) Collaborations

• Life and Health Informatics
• Computer Systems
• Control and System Engineering
• +۵ مورد دیگر

Masao Yanagisawa is a Professor at Waseda University's School of Fundamental Science and Engineering, with over 25 years of academic experience since 1998. An IEEE and ACM member, he holds a Doctor of Engineering degree from Waseda University.

• Automatic Control
• Fractional Systems
• Parameter Estimation
• +۶ مورد دیگر

Jean-Claude Trigeassou is a Professor in Automatic Control and Systems at the University of Poitiers, affiliated with the Laboratory LIAS (Laboratoire d'Ingénierie des Applications de la Sensorielle) at ENSIP (École Nationale Supérieure d'Ingénieurs de Poitiers) and ISAE-ENSMA (Institut Supérieur de l'Aéronautique et de l'Espace - École Nationale Supérieure de Mécanique et d'Aérotechnique). His research spans several decades with a focus on fractional systems, control theory, and electrical machine diagnosis. Trigeassou's primary research interests include Automatic Control, Fractional Systems, Parameter Estimation, Electrical Machines Diagnosis, Control Systems, Diffusive Systems, and System Identification. His work particularly emphasizes the theoretical foundations and practical applications of fractional calculus in control systems. He has made significant contributions to understanding the initialization and stability of fractional differential equations, developing fractional-order controllers, and applying these concepts to electrical machine diagnosis and thermal process modeling. His recent publications show a consistent focus on fractional calculus applications, with numerous papers on fractional system modeling, stability analysis, and controller design. The research demonstrates both theoretical depth in fractional calculus and practical applications in electrical engineering systems. His work on fractional-order PID controllers and the infinite state approach represents significant theoretical contributions to the field. Trigeassou has collaborated extensively with researchers including Thierry Poinot, Nezha Maamri, Alain Oustaloup, Smail Bachir, and others, indicating strong research networks in the control systems community. His publications appear in prestigious journals such as Computers & Mathematics with Applications, Signal Processing, and IEEE Transactions.