جستجوی استاد راهنمای دانشگاهی

Prof. Dr. Amelie Hagelauer holds a professorship in Micro- and Nanosystem Technology at the TUM School of Computation, Information and Technology, Technical University of Munich. Her work focuses on advanced electronics and systems integration across quantum computing hardware, resistive memory technologies, and high-frequency RF systems. She has contributed to innovations in superconducting qubit readout architectures, multi-level RRAM designs, and 3D-integrated CMOS-compatible quantum devices. Research interests span quantum hardware design, nanoelectronic devices, RF front-end systems, and emerging memory technologies. Her work emphasizes practical implementation challenges such as low-power operation, high-voltage handling in RF switches, and wafer-scale fabrication processes. Recent projects include D-band radar systems, energy-efficient 60 GHz transceivers, and antenna tuning solutions for 5G applications. Publications from 2023-2025 showcase advancements in resistive switching device characterization, mitigation of TLS losses in superconducting qubits, and reconfigurable AI accelerators using RRAM-based digital twins. Her work bridges theoretical device physics with practical integrated circuit design, addressing scalability and reliability in next-gen electronics. Awards and grants: None explicitly listed in provided texts. Active collaborations include EU-funded projects on quantum computing platforms and TUM's Electronic Photonic Integration initiatives. Leads research teams in microsystem technology with emphasis on cross-disciplinary approaches combining CMOS processes, MEMS, and quantum engineering.

• Microelectronics
• Nanotechnology
• RF Engineering
• +۳ مورد دیگر

Prof. Dr.-Ing. Thomas Zwick is a full professor and director of the Institute of High Frequency Engineering and Electronics (IHE) at the Karlsruhe Institute of Technology (KIT). He holds a Dipl.-Ing. (M.S.E.E.) and Dr.-Ing. (Ph.D.E.E.) from the University of Karlsruhe. His career includes roles at IBM Research (2001–2004), Siemens AG (2004–2007 managing automotive radar teams), and KIT since 2007. He leads research in high-frequency technologies, antennas, radar systems, and wireless communications. Research interests include radio wave propagation, antenna design, automotive radar architectures, and millimeter-wave systems. He has authored/co-authored over 400 papers, 20 patents, and received IEEE Fellow status (2018), honorary doctorate from Budapest University (2022), and membership in the Heidelberg Academy and acatech. His work emphasizes integrating sensing and communication systems, 3D-printed RF components, and high-frequency measurement techniques. Teaching focuses on high-frequency engineering, electronic circuits, and radar systems. He oversees the IHE’s laboratories, including the Microwave Engineering Lab and Student Innovation Lab. Recent work explores sub-THz communication, RIS-aided ISAC systems, and beamforming for reduced EMF exposure in urban scenarios.

• Radio Wave Propagation
• Radio Channel Modeling
• Measurement Techniques
• +۵ مورد دیگر

Prof. Dr. Robert Blick is a faculty member at the University of Hamburg , leading the Institute for Nanostructure and Solid State Physics under the Faculty of Mathematics, Informatics, and Natural Sciences. He serves as Director of the Center for Hybrid Nanostructures (CHyN) and Head of the Board of Examiners of Nano-Science. Research Focus: Atomic Layer Deposition (ALD), quantum dots, superconducting thin films, biomaterials, and nanomechanical devices. Key Collaborations: Deutsches Elektronen-Synchrotron (DESY), molecular-beam epitaxy groups, Forschungslabor Mikroelektronik Deutschland. His academic contributions span nanoscience, materials growth, and biomedical applications. Current funding includes support from the Deutsche Forschungsgemeinschaft (DFG), Exzellenzcluster CUI, and the Joachim Herz Foundation. The CHyN research group operates a state-of-the-art clean room facility for electron-beam and focused-ion-beam lithography, enabling 8nm feature definition on 6-inch wafers. Applications of his work include memristor technology, quantum devices, and advanced biosensors. His PhD students include Ahmed Alshaikh, Kristian Deneke, Daniel Hensel, Marianna Brede, Daniel Schmidt, Malte Siegmund, and Jan Stelzner. Senior researchers Dr. Stefanie Haugg and Dr. Robert Zierold contribute to materials growth and atomic layer deposition.

• Nanoscience
• Atomic Layer Deposition
• Nanostructuring
• +۷ مورد دیگر

Xingwang Li is an active researcher affiliated with the School of Physics and Electronic Information Engineering at Henan Polytechnic University in Jiaozuo, China. He obtained his PhD from Beijing University of Posts and Telecommunications in 2015, specializing in networking and switching technology. His research spans wireless communications, IoT systems, reconfigurable intelligent surfaces (RIS), and physical-layer security, with a strong focus on 6G-enabling technologies. Dr. Li's work primarily explores: Optimization of RIS-aided satellite-terrestrial networks Covert communication systems for enhanced security AI-driven signal processing for massive MIMO Integrated sensing and communication frameworks Energy-efficient protocols for IoT networks His recent publications (2023-2025) demonstrate a consistent focus on RIS applications, with 82% of works addressing reconfigurable surface optimization. Key trends include the integration of deep learning with communication systems (notably reinforcement learning for resource allocation), advancement of THz and near-field technologies for 6G, and novel approaches to physical-layer security. The research shows increasing emphasis on practical implementations, including UAV networks and autonomous vehicle communications.

• Wireless Communications
• Internet of Things
• Reconfigurable Intelligent Surfaces
• +۴ مورد دیگر

Boris Murmann is Professor at Stanford University, specializing in integrated circuit design, mixed-signal computing, and energy-efficient AI hardware. His research advances neural interface technologies, analog design automation, and tinyML systems. Recent work develops ultra-low-power neural recording ICs for brain-computer interfaces, RRAM-based memory systems, and open-source semiconductor design frameworks. Publications demonstrate innovations in compressive sensing for neural data, hardware-algorithm co-design, and reinforcement learning for analog circuit synthesis. Significant contributions include Medusa (TinyML processor), EMBER (RRAM macro), and methodologies for coarsely-quantized computer vision and analog design automation.

• Integrated Circuits
• Mixed-Signal Computing
• Neural Recording Systems
• +۱ مورد دیگر

Dr. Alexander Paulus serves as a Researcher at the Chair of High-Frequency Engineering within the Department of Electrical Engineering at the Technical University of Munich (TUM), School of Computation, Information and Technology. Working under Prof. Dr.-Ing. Thomas Eibert, he contributes to advanced electromagnetic research and measurement systems development at TUM's Arcisstr. 21 campus in Munich. Research Expertise His core specialization lies in near-field antenna measurement and transformation techniques, with significant contributions to phase retrieval algorithms, inverse source methods, and UAV-based electromagnetic field measurements. He addresses critical challenges including probe correction with unknown antennas, sparse sampling for directive antennas, and electromagnetic modeling of environmental effects like rain attenuation. His work bridges theoretical electromagnetics with practical antenna characterization solutions. Publication Trends From 2014-2025, Paulus has published 25+ papers focusing on near-field to far-field transformations, particularly in phaseless and multi-probe scenarios. Recent work (2023-2025) demonstrates innovation in spectral filtering, sparse reconstruction, and UAV-based systems for defect localization and wet antenna modeling. His research increasingly integrates computational techniques to solve complex inverse problems in antenna measurements. Scientific Recognition No formal awards documented in available information Academic Contributions Student Mentoring: No advisees listed in provided materials Research Funding: Grant details not specified in source text Research Environment Paulus operates within TUM's Chair of High-Frequency Engineering facilities, which include advanced near-field measurement ranges, UAV-based electromagnetic characterization systems, and laboratories for metamaterials research and electromagnetic compatibility testing. His work supports applications in 5G/6G communications, aviation navigation systems, and precision antenna diagnostics.

• Antenna Measurement
• Electromagnetic Field Theory
• Near-Field to Far-Field Transformation
• +۵ مورد دیگر

Dieter Uckelmann serves as Professor of Information Logistics and Scientific Director of the Institute for Applied Research at Stuttgart University of Applied Sciences (HFT Stuttgart). He holds multiple leadership positions including Spokesperson for the research focus 'Smart Technologies, Processes and Methods' at HFT Stuttgart since March 2023 and Scientific Director of the Institute for Applied Research since September 2023. His academic journey began with mechanical engineering studies in Braunschweig, followed by doctoral research at the University of Bremen focusing on 'Quantifying the Value of RFID and the EPCglobal Architecture Framework in Logistics.' Uckelmann's research spans Internet of Things applications across Industry 4.0, logistics, smart buildings, and smart cities, with significant contributions to educational technology including learning analytics and AI in teaching. His work bridges technical innovation with practical implementation, particularly in digital transformation of laboratories and smart city infrastructure. He has led numerous research projects including KNIGHT (AI for teaching), InDeckLe (earth composite ceiling systems), iCity initiatives, and DigiLab4U (online laboratories). His publication record shows a clear progression from foundational RFID and IoT research toward emerging technologies like the Industrial Metaverse, 5G applications, and AI-driven educational systems. Recent work demonstrates strong integration of physical and digital systems, particularly in urban environments and educational contexts, with increasing emphasis on sustainability and energy efficiency applications. Co-editor of International Journal of RF-Technologies: Research and Applications Member of PhD Association BW, Research Unit III Computer Science and Electrical Engineering Mentor in the HAWCareer mentoring program Program Committee Member for IEEE RFID, IEEE/ITMC, AIET, and other major conferences Associate Editor for Journal of Online and Biomedical Engineering Professor Uckelmann actively mentors students and researchers, with his team contributing to projects across smart city infrastructure, digital learning platforms, and industrial IoT applications. He leads the Industrie 4.0 Laboratory which focuses on industrial IoT applications, digital twins, and the industrial metaverse, with research spanning RFID, RTLS, wireless sensor networks, AR/VR, and IoT architectures. His work extends to international collaborations including visiting professorships at Auburn University and the University of Parma.

• Internet of Things
• Logistics
• Industry 4.0
• +۱۱ مورد دیگر

Prof. Dr. Uli Lemmer is a Professor at the Department of Electrical Engineering and Information Technology (ETIT) at the Karlsruhe Institute of Technology (KIT). His research focuses on optoelectronics, thermoelectric materials, and printed electronics, with a strong emphasis on energy harvesting, nanotechnology, and photonics. He leads the Lichttechnisches Institut (LTI) and is affiliated with the Institute of Applied Physics. His work spans innovations in laser systems, flexible electronics, and bio-inspired materials. Office: Building 30.34, Room 223; Phone: +49 721 608-42530; Email: uli.lemmer@kit.edu. Research interests include the development of advanced materials for solar cells, thermoelectric generators, and sensor technologies. He pioneers methods like aerosol-jet printing and inkjet printing for scalable production of electronic devices. His group explores biomimetic structures (e.g., snake scale nanopores) and terahertz systems, pushing boundaries in both fundamental science and applied engineering. Recent publications highlight breakthroughs in printed thermoelectric modules, perovskite-based photovoltaics, and high-frequency antennas. His work integrates cutting-edge fabrication techniques with material science to address challenges in renewable energy, sensor networks, and flexible electronics. Prof. Lemmer collaborates internationally on projects like EU-funded energy initiatives and partners with industry for technology transfer. His lab specializes in additive manufacturing, optical systems, and nanoscale device engineering, aiming to bridge the gap between academic research and industrial applications.

• Optoelectronics
• Thermoelectric Materials
• Printed Electronics
• +۳ مورد دیگر

Prof. Thomas Mussenbrock is a Full Professor (W3) of Applied Electrodynamics and Plasma Technology at Ruhr University Bochum, leading the Applied Electrodynamics and Plasma Technology department within the Faculty of Electrical Engineering and Information Technology. He holds a PhD from Ruhr University Bochum (2004) and habilitation (2009), previously serving as a professor at Brandenburg University of Technology (2016-2020). His research focuses on low-temperature plasmas, nanoelectronics, and plasma modeling, with applications in material processing and energy systems. Education: Bachelor's (1995) Bielefeld University of Applied Sciences Master's (1999) Ruhr University Bochum PhD (2004) Ruhr University Bochum Habilitation (2009) Ruhr University Bochum His research interests include plasma dynamics in atmospheric pressure jets, memristive devices for neuromorphic computing, and energy-efficient plasma processes. Recent work emphasizes CO₂ conversion via plasma jets, electron dynamics in capacitive discharges, and scalable plasma modeling techniques. He collaborates on projects like the TopING doctoral program and plasma catalysis initiatives. Publications span journals and conferences, with a focus on experimental and computational plasma physics. He advises on graduate studies and chairs faculty committees at Ruhr University Bochum.

• Low-Temperature Plasmas
• Material Processing
• Nanoelectronics
• +۳ مورد دیگر

Stefan Heinen is Professor and Chair of Integrated Analog Circuits and RF Systems at RWTH Aachen University. His research focuses on analog circuit design, radio-frequency systems, and semiconductor technologies for advanced electronic applications.

• Integrated Circuits
• RF Systems
• Analog Design
• +۲ مورد دیگر

Prof. Dr. Wolfgang Hillert is a leading physicist at the University of Hamburg , serving as the Bjørn-Wiik Professor for Accelerator Physics since 2016. Affiliated with the Institute of Experimental Physics under the Faculty of Mathematics, Informatics and Natural Sciences, he specializes in Accelerator Physics , Superconducting Accelerator Technology , and Free-Electron Lasers (FEL) . His work focuses on polarized electron beams, SRF cavity optimization, and gravitational wave detection methods. Education: Physics degree from University of Bonn (1987), Promotion in Atmospheric Physics (1992), Habilitation in Physics (2001) Leadership Roles: Head of Accelerator Physics Group (2016–present), Managing Director of Institute of Experimental Physics (2019–2021) Research Trends: His recent work spans superconducting RF cavities for gravitational wave detectors ( 2025 ), resonant slow extraction in electron boosters, and atomic layer deposition of superconducting thin films. Publications highlight advancements in beam dynamics , cryogenic systems , and terahertz generation . Teaching & Outreach: He has lectured on Accelerator Physics since 2002 and engaged in public science communication, including talks on Physics of Music (2005–2021) and teacher training programs at DESY. Labs & Collaborations: Leads the Accelerator Physics Group at DESY, collaborates on projects like XFELO and BGO-OD beamline , and contributes to international schools (CAS) and symposia.

• Accelerator Physics
• Superconducting Accelerator Technology
• Free-Electron Lasers (FEL)
• +۴ مورد دیگر

Uwe Klemradt is a Professor in the Department of Physics at RWTH Aachen University. His research focuses on experimental condensed matter physics, with a strong emphasis on advanced characterization techniques such as X-ray scattering and in situ studies of thin film growth. Key areas include ferroelectric materials, phase transitions, and nanotechnology. His work often involves the exploration of material properties at surfaces and interfaces, leveraging synchrotron radiation and laboratory-based light sources. Recent studies include investigations into the crystallization dynamics of BaTiO3 thin films, resistive switching in oxide films, and the structural evolution of heterostructures. Notable contributions span thin film deposition methods, such as RF sputtering, and the analysis of material behavior under external fields (e.g., magnetic field-induced ferroelectricity). His research bridges fundamental physics with applications in electronics and nanotechnology. No scientific awards are explicitly listed. His advising and grant activities are not detailed in the provided texts. The Department of Physics at RWTH Aachen University serves as his primary affiliation, with access to advanced experimental facilities.

• Condensed Matter Physics
• Materials Science
• X-ray Scattering Techniques
• +۴ مورد دیگر

Prof. Dr. Haris Gačanin is a faculty member at RWTH Aachen University, affiliated with the Institute for Distributed Signal Processing under the College of Electrical Engineering. His research focuses on integrating machine learning with wireless communication systems, particularly in industrial IoT, edge computing, and network optimization. Current academic rank: Professor Contact: harisg@dsp.rwth-aachen.de Research Interests: Wireless systems, machine learning, signal processing, and network optimization. Key contributions include: Adaptive resource allocation in IIoT and vehicular networks AI-driven channel estimation and feedback mechanisms Security-oriented emitter identification via metric learning Federated/transfer learning for edge environments Hardware-efficient deep learning models for mmWave and THz communications Methodological Focus: Combines reinforcement learning, attention mechanisms, and robust neural architectures with practical implementations on FPGA and vehicular systems.

• Wireless Communication
• Machine Learning
• Signal Processing
• +۴ مورد دیگر

Shueng-Han Gary Chan is a faculty member in the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology (HKUST), within the College of Engineering. He is actively engaged in research and mentoring, with a strong publication record in mobile computing, indoor localization, and AI for pervasive systems. His research focuses on indoor localization using Wi-Fi, geomagnetic, and inertial signals , sensor fusion , crowd counting with deep learning , domain adaptation , and efficient mobile AI systems . His work bridges theoretical innovation with real-world deployment, as seen in systems for missing person search and indoor navigation. Recent publications (2023–2025) show a consistent trend toward self-supervised and domain-agnostic learning , efficient model design for mobile devices , and robust signal fusion in noisy environments . His team leverages transformer architectures, graph neural networks, and novel optimization techniques to solve real-world challenges in urban and indoor spaces. He has advised numerous graduate students, including Jierun Chen, Zhuoxuan Peng, and Tianlang He, who have contributed as first authors to joint publications. His collaborations span institutions and include work on large-scale system deployments and mobile AI. He leads a research group focused on mobile and pervasive computing , with projects involving IoT-based contact tracing, indoor navigation (e.g., DeepNavi, SiFu), and real-time localization systems. The team emphasizes practical deployment and system robustness.

• Indoor Localization
• Wireless Networks
• Pervasive Computing
• +۱۱ مورد دیگر

Prof. Thomas Weiland is a Full Professor of Computational Electromagnetics at the Technische Universität Darmstadt since 1989. His research focuses on numerical methods, computational engineering, and multiphysics simulation techniques, particularly in accelerator physics and beam dynamics. He holds a Dr.-Ing. from TU Darmstadt and has held postdoctoral and research positions at CERN and TU Darmstadt. His work includes pioneering contributions to electromagnetic field simulations, including advanced finite element methods, discontinuous Galerkin techniques, and boundary element approaches. Education highlights include his Diplom in Electrical Engineering from TU Darmstadt (1975) and a Habilitation in Experimental Physics from the University of Hamburg (1984). His research spans computational electromagnetics, accelerator physics, and numerical methods for electromagnetic field problems. Notable areas of innovation include transparent boundary conditions, eigenmode calculations, and high-performance simulation frameworks for rotating systems and particle accelerators. His publications emphasize advancements in electromagnetic simulation tools, such as the MagPEEC method and Trefftz-discontinuous Galerkin approaches. Collaborative projects include modeling RF photoinjectors for light sources and electrohydrodynamic droplet dynamics. Technical contributions also extend to wake field analysis in particle accelerators and SAR distribution studies in bioelectromagnetics. Research interests further include multiphysics coupling (thermal-electromagnetic effects in surge arresters), stochastic modeling of electromagnetic systems, and field-circuit co-simulation techniques. His work addresses challenges in large-scale eigenvalue problems, adaptive mesh optimization, and high-precision numerical methods for complex geometries.

• Numerical Methods
• Computational Engineering
• Multiphysics Simulation Techniques
• +۲ مورد دیگر