جستجوی استاد راهنمای دانشگاهی

André B.J. Kokkeler is a Full Professor at the Digital Society Institute and affiliated with the Radio Systems department at the University of Twente. His research focuses on wireless communication systems, signal processing, and mmWave technology, particularly in applications like beamforming, cognitive radio, and error-resilient algorithms. Recent research outputs highlight his work on: Hybrid beamforming techniques for full-duplex integrated sensing and communication (ISAC) systems Energy-efficient iterative algorithm implementations Single-bit angle-of-arrival (AoA) localization methods mmWave channel characterization in reverberation chambers Radar-driven human gait modeling His work contributes to advancements in wireless systems for IoT, automotive radar, and energy-constrained environments. Collaborations span multiple institutions and focus on propagation modeling, antenna characterization, and sensing applications.

• Cognitive Radio
• Beamforming
• MIMO Systems
• +۵ مورد دیگر

Rodrigo González is an Assistant Professor at the Department of Mechanical Engineering, Eindhoven University of Technology, since 2022. His research focuses on data-driven modeling, estimation, and control methods for high-tech precision systems, with applications in motion control and continuous-time system identification. Education: Ph.D. in Electrical Engineering (KTH Royal Institute of Technology, 2022) M.Sc. in Electronic Engineering (Universidad Técnica Federico Santa María, 2016) His work emphasizes continuous-time system identification, state-space modeling, and Bayesian estimation techniques. Key research themes include motion control tuning, multivariable systems, and noise/disturbance modeling in precision engineering applications. Rodrigo has received the Best Electronic Engineering Student Award (2016) and Best Thesis Award from Universidad Técnica Federico Santa María. He has active collaborations with institutions like Universidad Técnica Federico Santa María through visiting researcher appointments. Scientific awards include: Best Electronic Engineering Student Award (2016) Best Thesis Award (Universidad Técnica Federico Santa María)

• Data-driven modeling
• System identification
• Control systems engineering
• +۴ مورد دیگر

Gabriele Liga is an Assistant Professor at the Department of Electrical Engineering, Eindhoven University of Technology (TU/e), affiliated with the Signal Processing Systems (SPS) Group. He holds a Marie Curie Eurotech Fellowship focusing on signal shaping techniques for nonlinear optical fiber channels. His academic journey includes a Ph.D. in optical communications from University College London, followed by postdoctoral research in digital signal processing and nonlinearity compensation. Education: B.Sc. in Telecommunications Engineering from Università degli Studi di Palermo (2005), M.Sc. in Telecommunications Engineering from Politecnico di Milano (2011), and a Ph.D. in Optical Communications from University College London (2017). Research Interests: Digital communications, information theory, fiber-optic systems, nonlinearity compensation, channel coding, and multi-user optical communication theory. His work emphasizes achieving transmission limits through signal shaping and advanced signal processing techniques. Projects: Active roles in NESTOR (Next-gen optical networks), QuNEST (quantum communication security), Fun-NOTCH (nonlinear optical channel fundamentals), and SSTOC (signal shaping tailored to optical channels). Collaborations span institutions globally, focusing on optical fiber communication challenges. Awards: 2023 ACP/POEM Best Student Paper Award and 2019 OECC Best Paper Award. Serves as a reviewer for IEEE journals and OSA publications. Labs/Teams: Core member of the SPS Group and involved in interdisciplinary projects blending theory and experimental validation.

• Digital Communications
• Information Theory
• Optical Communications
• +۵ مورد دیگر

Sjoerd Dirksen is a Professor of Mathematics for Data Sciences at Utrecht University since May 2025, having previously served as an Associate Professor for Applied Mathematics (2019-2025) and Junior Professor at RWTH Aachen University (2014-2019). He is affiliated with the Mathematical Institute within the Faculty of Science at Utrecht University, where his office is located in the Hans Freudenthal Building. His research interests focus on high-dimensional probability theory and its applications in data science, machine learning, and signal processing. Specifically, he investigates randomized data dimension reduction methods using structured random matrices, theory for deep learning including random neural networks, high-dimensional covariance estimation for wireless communication systems, and statistical postprocessing of weather forecasts in collaboration with the Royal Netherlands Meteorological Institute (KNMI). Previously, he worked on compressed sensing, sharp estimates for stochastic processes in Banach spaces, and noncommutative analysis. Analysis of his recent publications (2018-2024) reveals a strong focus on quantization effects in high-dimensional data processing, particularly one-bit compressed sensing and covariance estimation under coarse quantization. His work bridges theoretical mathematics with practical applications in signal processing, wireless communications, and meteorological forecasting, demonstrating a consistent trajectory from foundational mathematical research to applied data science problems. Dirksen's academic career shows progression from postdoctoral work at the Hausdorff Center for Mathematics in Bonn to independent research positions. His publication record demonstrates significant contributions to the mathematics of data science, with papers appearing in top journals across mathematics, statistics, and signal processing. His research combines deep theoretical insights with practical applications, particularly in the areas of dimensionality reduction and high-dimensional statistics.

• High-dimensional probability theory
• Data Science
• Machine Learning
• +۵ 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

Alexander Yarovoy is a Full Professor at the Faculty of Electrical Engineering, Mathematics and Computer Science at Delft University of Technology (TU Delft), specializing in Radar Systems, Antenna Design, and mm-Wave Technology. His research bridges theoretical and applied domains, with a focus on automotive radar, weather radar, and machine learning integration in radar signal processing. Active in radar, antennas, and microwave engineering Key contributions to automotive radar and human activity recognition Collaborates on datasets like RaDelft for autonomous driving Recent work explores OTFS radar for communication integration, polarimetric calibration, and high-resolution imaging algorithms. His research often addresses challenges in real-world applications, such as urban meteorology and vehicular safety. In 2023, he received the outstanding paper award at IEEE MetroAeroSpace for radar waveform coexistence studies. He participates in conferences and editorial activities, advancing radar metrology and phased array technologies.

• Radar Engineering
• Antennas
• mm-Wave Technology
• +۶ مورد دیگر

Alex Alvarado is a Full Professor in the Signal Processing Systems department at Eindhoven University of Technology (TU/e), leading the Information and Communication Theory Lab (ICT Lab). He is also affiliated with TU/e's Center for Wireless Technology in Eindhoven. His academic career includes roles as a Senior Research Associate at University College London (2014–2016), Marie Curie Intra-European Fellow (2012–2014), and Newton International Fellow (2011–2012) at the University of Cambridge. Alvarado is a Senior Member of the IEEE and has held editorial and committee positions in major conferences like OFC and ECOC. Alvarado holds an Electronics Engineer degree (2003) and MSc (2005) from Universidad Técnica Federico Santa María, Chile, followed by a Licentiate of Engineering (2008) and PhD (2011) from Chalmers University of Technology, Sweden. His research focuses on high-speed secure data transmission in optical and wireless systems, emphasizing energy-efficient algorithms and theoretical limits of telecommunication systems. Key areas include communication theory, information theory, optical fiber systems, and nonlinear interference mitigation. His recent articles explore advanced modulation formats, machine learning applications for channel estimation and decoding, and innovations in free-space optics and MIMO systems. This work contributes to UN Sustainable Development Goals related to affordable and clean energy, industry innovation, and responsible consumption through energy-efficient communication solutions. Scientific Awards: ERC Starting Grant (2018) NWO VIDI Grant (2016) 2015 Journal of Lightwave Technology Best Paper Award 2015 IEEE Exemplary Reviewer Award 2018 and 2023 Asia Communications and Photonics Conference Best Paper Awards 2019 Optoelectronics and Communications Conference Best Paper Award Alvarado's advising contributions include supervising 12 research works. His grants include NWO VIDI and ERC Starting funding. He leads projects like NESTOR (Next-gen optical networks) and LaiQa (Quantum Key Distribution). His lab, the ICT Lab, drives theoretical and applied research in communication systems.

• Optical Communications
• Wireless Communications
• Information Theory
• +۳ مورد دیگر

Thiago Elias Bitencourt Cunha (MSc) is a University Researcher in the Department of Electrical Engineering at Eindhoven University of Technology. He works within the Lighting and IoT Lab, focusing on optical wireless communication (OWC) systems, particularly power allocation optimization in distributed MIMO OWC, LED-based communication technologies, and signal processing for IoT applications.

• Wireless Communication
• Optical Wireless Communication
• Signal Processing
• +۷ مورد دیگر

Alessandro Chiumento is an Assistant Professor at the Department of Pervasive Systems, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), University of Twente. His research focuses on artificial intelligence, edge AI, wireless communication, and sensor systems for industrial and health applications. Key Research Areas: Reinforcement Learning, Deep Learning, 5G/6G Networks, Human Activity Recognition Recent publications highlight his work in mmWave radar systems for vital sign monitoring, UAV-based communication networks, and AI-driven resource management for IoT. He has contributed to 5G-RedCap optimization, WiFi network performance analysis, and biomedical sensor development. In 2024-2025, his team released comprehensive datasets for mmWave radar applications, explored non-invasive animal health monitoring, and advanced cross-layer QoS optimization frameworks. Earlier works (2016-2023) addressed Bluetooth mesh networking, LTE interference management, and multi-antenna systems for UAVs. Technical Themes: Spectrum Efficiency, Network Topology, Channel Quality Prediction, Autonomous Agents

• Artificial Intelligence
• Edge AI and Sensors
• Autonomous Agent Systems
• +۱۳ مورد دیگر

C. Silveira Vaucher is a Professor specializing in Electrical Engineering, Mathematics, and Computer Science. Their research focuses on advanced radar systems, waveform engineering, and satellite communication technologies. Recent work emphasizes automotive radar interference mitigation and MIMO radar coherence. Active in Automotive Radar and Frequency Modulated Continuous Wave engineering Contributions to MIMO Radar and Small Satellite transmitter design Their publications highlight trends in joint sensing-communication systems and phase-coded waveforms for improved radar performance. Collaborations span international research institutions, particularly in interference analysis and coherent signal processing.

• Automotive Radar
• Waveform Engineering
• Frequency Modulated Continuous Wave (FMCW)
• +۴ مورد دیگر

Pieter-Tjerk de Boer is an Associate Professor at the University of Twente , affiliated with the Electrical Engineering, Mathematics and Computer Science (EEMCS) faculty. He holds dual roles in the Design and Analysis of Communication Systems (Computer Science) and the Digital Society Institute . His research focuses on rare-event simulation, communication systems, and mathematical performance analysis. He earned his PhD in 2000 from the University of Twente with a thesis on queueing models for telecommunication systems. Key research areas include stochastic performance analysis (e.g., importance sampling techniques for queueing networks), computer networking (DNS analysis, IPv6 security), and radio technology (MIMO receivers, harmonic rejection mixers). His work bridges theory and application, addressing challenges in reliability, security, and efficiency of digital systems. Notable contributions include advancements in statistical model checking, automated rare-event simulation for stochastic Petri nets, and open-source intelligence analysis using radio receivers. His findings are published in journals like Simulation , IEEE Transactions , and Performance Evaluation , with over 98 research outputs since 1996. Collaborations span academia and industry, including work on cybersecurity, network management, and hardware-software co-design. Media engagements include discussions on radio receiver usage patterns during the Ukraine war and IPv6-related network vulnerabilities.

• Rare-Event Simulation
• Communication Systems
• Mathematical Performance Analysis
• +۳ مورد دیگر

Xiaodong Cheng is an Assistant Professor at the Mathematical and Statistical Methods (Biometris) group in the Department of Plant Science at Wageningen University & Research. His research focuses on control systems, optimization, and machine learning, with applications in agricultural and energy systems. He holds a Ph.D. (cum laude) from the University of Groningen, under Prof. Jacquelien Scherpen, and prior roles include Research Associate at the University of Cambridge and Postdoctoral Researcher at Eindhoven University of Technology. Education: B.S. and M.E. from Northwestern Polytechnical University, China (2011, 2014) Ph.D. (cum laude) in Engineering from the University of Groningen, Netherlands (2018) Research Interests: Data-driven modeling, dimensionality reduction, learning-based control, system identification, and applications in agriculture and energy. He emphasizes practical implementations through tools like SYSDYNET and Bayesian neural ODEs for greenhouse systems. Key Contributions: His work spans model reduction for network systems, fault-tolerant control, and stochastic MPC for greenhouse production. Recent trends in his publications highlight advancements in resilient microgrid control, precision agriculture via drone-based sensing, and Bayesian methods for dynamic systems. Awards: Automatica Paper Prize Award (2017–2019) IEEE Transactions on Control Systems Technology Outstanding Paper Award (2020) Labs/Teams: Leads the Biometris group's efforts in integrating control theory and machine learning for sustainable systems. His work often collaborates with agricultural and energy sector stakeholders for real-world impact.

• Control Systems
• Optimization
• Machine Learning
• +۵ مورد دیگر

Koen Tiels is an Assistant Professor in the Control Systems Technology (CST) group at the Department of Mechanical Engineering of Eindhoven University of Technology (TU/e). His research focuses on the identification of nonlinear dynamical systems, combining techniques from system identification and machine learning. Education Master's in Electromechanical Engineering, Vrije Universiteit Brussel (2010) PhD in Electromechanical Engineering, Vrije Universiteit Brussel (2015) His work contributes to areas such as magnetic hysteresis modeling using physics-aware neural networks, optimal control design with low computational cost, and kernel-based identification methods for sampled data. He has collaborated with institutions like Uppsala University and TU/e's EAISI (Eindhoven Artificial Intelligence Systems Institute) on high-tech systems and mechatronics. Recent publications emphasize applications in recurrent neural networks for magnetic hysteresis, sparse modeling of piezoelectric systems, and robust experiment design for MIMO systems. His research aligns with UN Sustainable Development Goals related to clean energy and advanced technologies.

• System Identification
• Machine Learning
• Nonlinear Dynamical Systems
• +۳ مورد دیگر

Frank van Vliet is a Professor in Microwave Integration at the University of Twente (Faculty of Electrical Engineering, Mathematics and Computer Science) and a Principal Scientist at TNO Applied Research. His career spans cutting-edge microwave IC design, phased-array technology, and GaN component development. University of Twente – Professor in Microwave Integration (2007–present) TNO – Principal Scientist (1997–present) European Microwave Association – Board member Education includes an M.Sc. (1992) and Ph.D. (1995) in Electrical Engineering from Delft University of Technology, with honors. His research established the Centre for Array Technology (CAT) at Twente. Research interests focus on MMICs (GaN/AlGaN/GaN), phased-array systems , antenna arrays , beamforming , power amplifier design , and microwave measurement techniques . His work bridges theory and practical implementation in radar, communication, and space systems. Recent article trends include GaN-based power amplifiers for S/X-band applications, stacked-FET architectures, advanced beamforming ICs in CMOS/BiCMOS, and spatial/frequency filtering techniques. Collaborations emphasize European defense and space agency standards . Awards and leadership roles include chairing EuMIC 2012, Guest Editor for IEEE MTT Special Issue (2013), and General Chair for European Microwave Week 2020. He contributes to ESA and EDA technical boards. Labs and teams include the Centre for Array Technology (CAT) at Twente and collaborations with TNO on industrial microwave R&D. His work intersects with IEEE technical committees on phased arrays and compound semiconductor ICs.

• Microwave Engineering
• Integrated Circuit Design
• Phased-Array Technology
• +۳ مورد دیگر

B.H.W. Hendriks is a Professor in the Department of Mechanical Engineering at Delft University of Technology, specializing in Medical Instruments & Bio-Inspired Technology. His research develops optical and signal processing solutions for medical applications, particularly in surgical environments and tissue analysis. His primary research domains include: Biomedical Engineering Optical Spectroscopy (Diffuse Reflectance) Medical Device Development Surgical Technology Cardiac Signal Processing Tissue Characterization Analysis of his 55+ publications reveals dual expertise: (1) Intraoperative optical sensing (e.g., fiber-optic tissue identification during spine surgery and electrosurgery), and (2) Advanced signal processing for cardiac diagnostics (atrial fibrillation mapping via electrograms/ECG). His work bridges mechanical engineering with clinical practice through real-time surgical workflow analysis and tissue-mimicking phantoms. Hendriks actively supervises research students and has generated 3 significant datasets for tissue characterization. His fingerprint shows dominant activity in spectroscopy (100%), surgery (93%), and tissue analysis (91%), with emerging work in human pose tracking for cardiac catheterization laboratories.

• Biomedical Engineering
• Optical Spectroscopy
• Medical Instrumentation
• +۳ مورد دیگر