جستجوی استاد راهنمای دانشگاهی

Marcel Joss is a Lecturer at the Institute of Electrical Engineering (IET) within the Lucerne School of Engineering and Architecture at Hochschule Luzern, Technik & Architektur. He has held this position since 2003 and previously served as the Head of the Electrical Engineering Department (2005–2010) and project leader for Bologna reform implementation (2003–2005). His expertise spans telecommunications, microwave engineering, and autonomous systems. Education 1983–86: Diploma in Electrical Engineering, HTL Brugg/Windisch 1989–92: Advanced Diploma in System Technology, Neu-Technikum Buchs SG 1995–96: Master of Science in Communication Networks, EPF Lausanne 2000: International Executive Program (INSEAD) Research Interests Dr. Joss focuses on microwave engineering, satellite communication, wireless power transfer, and autonomous systems. His work includes projects like the CHESS CubeSat mission for atmospheric research, microwave-based medical monitoring, and innovative data communication solutions for cableway systems. He actively explores applications in industrial automation, sensor networks, and energy-efficient systems. Key Projects Satellite Tracking with Radio Detection Wireless Power Transmission at Millimeter Waves CHESS CubeSat Atmospheric Dynamics Measurement Multiband Sensor Networks (MBSnet) Professional Contributions Joss has led Swisscom Mobile AG teams in network development and technology integration. He is also a member of the Amateur Radio Club at HSLU, promoting hands-on technical education. His presentations on 5G technology, antenna design, and railway communication highlight his dual focus on academic and industrial innovation.

• Electrical Engineering
• Communication Systems
• Microwave Engineering
• +۵ مورد دیگر

Esteban Egea López is an Associate Professor in the Department of Information Technologies and Communications at the Universidad Politécnica de Cartagena (UPCT), Spain. He holds a Telecommunications Engineering degree from the Polytechnic University of Valencia (2000), a Master's in Electronics from the University of Gävle (2001), and a Ph.D. in Telecommunications from UPCT (2006). His research focuses on vehicular networks, wireless sensor networks, RFID, and biomedical applications of machine learning. Key areas of expertise include vehicular communication protocols, reinforcement learning for diabetes management, electromagnetic field analysis, and distributed computing. He leads projects like VENERIS (3D vehicular network simulator) and ORIENTATE (clinical machine learning tool). His work has been published in top journals like IEEE Transactions on Intelligent Transportation Systems and IEEE Access. He has secured funding from European Commission projects such as BREATHE and ASSIST-IoT, and collaborates on national initiatives like ONOFRE-4 for connected mobility. His contributions span 80+ peer-reviewed articles and multiple software frameworks including PRAIOS and MINOS for network optimization.

• Vehicular Networks
• Ad-hoc Networks
• Wireless Sensor Networks
• +۷ مورد دیگر

Tim Huege is a Professor of Astrophysics at the Inter-University Institute for High Energies (Vrije Universiteit Brussel) and group leader of the Cosmic Ray Simulations group at the Karlsruhe Institute of Technology . His research focuses on radio detection of cosmic ray air showers, development of simulation frameworks (CoREAS, CORSIKA8), and applications of Information Field Theory in astroparticle physics. He serves as task leader in the Pierre Auger Collaboration and as co-task leader for radio detection activities. Research Interests include: Radio emission from extensive air showers Cosmic ray energy estimation via geosynchrotron Neutrino detection using radio arrays Interferometric reconstruction techniques Atmospheric effects on particle cascade simulations Scientific Leadership involves: Lead developer of CoREAS simulation code Coordinator for CORSIKA8 project Member of SKA High-Energy Cosmic Particles Working Group Former contributor to LOPES, Tunka-Rex, and KASCADE-Grande collaborations His work spans detector calibration, shower parameter reconstruction, and multi-messenger astrophysics with key publications in Astroparticle Physics , Physical Review D/Letters , and JCAP . Current projects address noise compensation in radio detection, inclined shower simulations, and neutrino astronomy.

• Cosmic Rays
• Astroparticle Physics
• Radio Detection of Air Showers
• +۴ مورد دیگر

Qianqian Zhang is an Assistant Professor in the Department of Electrical and Computer Engineering at Rowan University, affiliated with the Henry M. Rowan College of Engineering. She holds a Ph.D. from Virginia Tech (2021) and worked as a full-time R&D Engineer in satellite communications (2021–2024). Her expertise lies in machine learning for wireless networks, integrated space-air-ground systems, semantic communications, and cybersecurity. Education: Ph.D., Electrical and Computer Engineering, Virginia Tech (2021) M.S., Electrical and Computer Engineering, Virginia Tech (2019) B.S., Telecommunication Engineering, Beijing University of Posts and Telecommunications (2015) Research Interests: Dr. Zhang focuses on AI-driven wireless systems, UAV network optimization, satellite communication integration, and secure semantic protocols. Her work emphasizes practical applications of reinforcement learning and generative models in millimeter-wave and 6G technologies. Recent Research Trends: Her publications (2016–2025) highlight advancements in machine learning for UAV networks, millimeter-wave channel modeling, and intelligent reflector systems. Recent work explores LEO satellite latency optimization and privacy-preserving multi-hop learning frameworks. Advising & Grants: Currently advising 5 Ph.D./undergraduate students and actively recruiting motivated candidates. Her group collaborates on predictive UAV deployment and semantic communication frameworks. Teaching includes machine learning (ECE 455/555) and electrical communication systems courses. Labs & Teams: Leads a research group at Rowan focused on AI-driven wireless innovation, with industry partnerships in satellite communication sectors.

• Machine Learning
• Wireless Communications
• Artificial Intelligence
• +۷ مورد دیگر

Dr. Romulus Valeriu Flaviu Turcu is an Associate Professor at the Department of Physics, Babeș-Bolyai University, and Director of the National Institute for Research and Development of Isotopic and Molecular Technologies (NIRD-IMT) since 2019. He holds a Ph.D. in Physics from Babeș-Bolyai University, a master’s in Material Science, and a bachelor’s in engineering. With over 17 years in academia and R&D, his interdisciplinary expertise spans Nuclear Magnetic Resonance (NMR), materials science, medical imaging, and high-pressure engineering. His research has been conducted across institutions in Europe and North America, including the Pacific Northwest National Laboratory (USA) and Los Alamos National Laboratory. He also serves as a visiting professor at the University of Rochester’s Ain Center for Entrepreneurship. Dr. Turcu’s work focuses on advanced materials, energy technologies, and innovative instrumentation, with contributions to carbon sequestration studies and biomedical applications of MRI. Key research areas include NMR methodologies for material characterization, development of nanostructured composites, and applications of machine learning in energy systems. His publications reflect a strong emphasis on interdisciplinary approaches, combining experimental physics, computational modeling, and engineering solutions. Dr. Turcu leads strategic initiatives at NIRD-IMT, advancing Romania’s technological capabilities in isotopic and molecular technologies. He has coordinated numerous R&D projects for enterprises and international collaborations, demonstrating expertise in transitioning research into practical innovations.

• Nuclear Magnetic Resonance
• Materials Science
• Medical Imaging
• +۳ مورد دیگر

Overview Prof. Olivier Martin is a Full Professor of Nanophotonics and Optical Signal Processing at École Polytechnique Fédérale de Lausanne (EPFL), leading the Laboratory of Nanophotonics and Metrology. He holds academic roles in multiple departments including STI's Microengineering and Electrical & Electronics Engineering programs, and oversees doctoral training in Photonics and related fields. His research focuses on plasmonics, nonlinear optics, and metamaterials, with applications in biosensing, optical forces, and nano-manufacturing. Education PhD in Physical Sciences (EPFL, 1994) Engineering Degree (EPFL, 1989) Research Interests Dr. Martin’s work combines numerical simulations, advanced nanofabrication, and experimental techniques to study plasmonic nanostructures. Key areas include metasurface design, nonlinear optical effects, optical trapping, and heterogeneous catalysis. His lab has pioneered studies on anisotropic second-harmonic generation, tunable optical forces, and plasmonic-based security technologies. Publications & Awards With over 300 peer-reviewed articles and patents, his 2016 ERC Advanced Grant supported research into optical-force-driven nanofabrication. He is a Fellow of Optica and serves on editorial boards of Advanced Photonics and Frontiers in Physics . Advising & Leadership Directed 25+ PhD theses at EPFL Directed EPFL’s Doctoral Program in Photonics (2005–2017) Reformed Microtechnology curriculum, launching the Robotics Master’s program Labs & Groups He heads the Laboratory of Nanophotonics and Metrology, focusing on cutting-edge research in nanoscale optical systems and their practical implementations.

• Plasmonics
• Nanophotonics
• Nonlinear Optics
• +۱۰ مورد دیگر

Lynda ZITOUNE is an Associate Professor at the Laboratory of Signals and Systems (L2S) within CentraleSupélec, located in Gif-sur-Yvette, France. Her research focuses on systems and control, telecommunications, and signal processing, with applications in energy-efficient networks, Industry 4.0, and health-related technologies. She is affiliated with the COMEDY, MODESTY, and Modelling and Estimation teams, contributing to projects like SYCOMORE. Her work emphasizes innovative solutions for network optimization, including load balancing in WiFi networks, congestion control in IoT systems, and energy efficiency in cellular and mesh architectures. She employs advanced techniques such as deep reinforcement learning, fluid modeling, and hybrid algorithms (e.g., Q-learning with ant systems) to address complex networking challenges. ZITOUNE’s recent publications (2021–2025) highlight contributions to intelligent association protocols, distributed control in large-scale systems, and AI-driven approaches to network management. Her research bridges theoretical modeling with practical applications, aiming to enhance network scalability, reliability, and sustainability. She collaborates actively with international teams and participates in key conferences like ICC, MASCOTS, and GLOBECOM. Her research interests span telecommunications, signal processing, and control systems, with a focus on interdisciplinary applications in energy and healthcare. She leads initiatives in fluid-based modeling for cellular networks and develops protocols for delay-tolerant wireless sensor networks using aerial mobile sinks.

• Systems and Control
• Telecommunications and Networks
• Signal Processing
• +۵ مورد دیگر

Zoltan Sternovsky is a Professor in the Department of Aerospace Engineering Sciences at the University of Colorado Boulder, where he also serves as a Research Scientist at the Laboratory for Atmospheric and Space Physics (LASP). He holds a PhD in Physics of Ionized Media from Charles University, Prague (2001) and an MS in Physics from the same institution (1998). His research focuses on instrument development for space missions, cosmic dust analysis, lunar plasma environments, and dusty plasma physics. Sternovsky leads projects involving dust analyzers for spacecraft such as STEREO, Cassini, and future missions to Europa and Saturn's rings. Key research areas include hypervelocity dust impacts, interstellar and interplanetary dust composition, plasma diagnostics, and the design of instruments like the Surface Dust Analyser (SUDA) for Europa's surface mapping. He has contributed to missions like the Interstellar Mapping and Acceleration Probe (IMAP), leading the Interstellar Dust Experiment (IDEX). His work also addresses dust detection via antenna instruments, Faraday cups, and Timepix detectors, with applications to planetary science and heliophysics. Awards: Outstanding Junior Faculty Award (2016) Young Scientist Award (2011) Grants & Collaborations: Instrument development for NASA missions, including DESTINY+, HIFI, and MANTIS asteroid tour concept. Active in lunar surface dust transport studies and resource exploration in permanently shadowed lunar regions. Labs/Teams: Leads LASP's Dust and Plasma Physics group, collaborating on space instrumentation and planetary exploration projects. His pioneering work bridges laboratory experiments with in-situ space observations, advancing understanding of cosmic dust dynamics and their implications for planetary formation and heliospheric processes.

• Cosmic Dust Analysis
• Space Plasma Physics
• Dusty Plasma Dynamics
• +۵ مورد دیگر

Mario Kupresak is part of the Photonics and Communication research group at ETH Zürich. As a Researcher in this field, he focuses on advanced topics in plasmonics, nanotechnology, and electromagnetic modeling. His work emphasizes the nonlocal hydrodynamic response of plasmonic nanostructures at deep-nanometer scales, semiconductor device modeling at high frequencies, and computational methods for nanoscale systems. His research interests include plasmonic nanostructures , nonlocal effects , computational electromagnetics , and high-frequency semiconductor physics . He has explored applications such as single-molecule fluorescence enhancement and antenna array design through iterative algorithms. Publications span from 2017 to 2024, with a focus on advancing methodologies for characterizing deep-nanometer plasmonic systems and benchmarking computational tools. His contributions include reviews on integral equation-based techniques and unified theoretical frameworks for nonlocal hydrodynamic responses. Currently affiliated with the Institute of Electrodynamics (IEF), he is based at ETH Zürich's Gloriastrasse 35, office ETZ H67.

• Photonics
• Plasmonics
• Nanotechnology
• +۵ مورد دیگر

Dr. Jasmin Smajic is Professor at ETH Zürich's Department of Information Technology and Electrical Engineering, leading theoretical and simulation research in electromagnetics. His work bridges computational methods with applications in plasmonics and photonics. Research expertise includes: Plasmonic device design and modeling High-frequency semiconductor structures Sub-terahertz communication systems Computational electromagnetics Multiphysics simulation techniques Recent innovations include plasmonic hybrid receivers, terahertz wireless links, and ultra-wideband modulators. Dr. Smajic has received multiple FUTUR Technology Transfer Awards for industrial applications of electromagnetic simulation tools.

• Computational Electromagnetics
• Plasmonics
• Photonic Devices
• +۳ مورد دیگر

Feyzullah Temurtaş is a Professor at the Department of Control and Command Systems, Faculty of Engineering and Natural Sciences, Bandırma Onyedi Eylül Üniversitesi. He has held academic roles since 2002, including Professor positions at Bozok University (2011–2018) and Sakarya University (2007–2008). His research focuses on neural networks, biomedical engineering, control systems, and embedded systems. He has authored/co-authored over 40 journal articles, 16 conference papers, and 3 books. His work includes projects on diabetes diagnosis via neural networks, gas sensor systems, and FPGA-based microcomputer design. Education: PhD in Electrical Engineering (university unspecified), with postdoctoral research roles at Dumlupınar and Yüzüncü Yıl Universities. Administrative Roles: Department Chair at Bandırma Onyedi Eylül Üniversitesi (2018–), Dean (2020–), and Vice Rector (2022–). Previously served as Department Chair and Dean at Bozok University. Research Interests: He specializes in machine learning applications for medical diagnostics, signal processing, robotics, and FPGA-based embedded systems. Notable projects include developing EEG-based emotion recognition models and neural network-driven gas concentration estimation systems. Grants & Awards: Led projects funded by TÜBİTAK (e.g., diabetes diagnosis via palm perspiration analysis, 2011–2013) and university grants. His research emphasizes interdisciplinary collaborations between engineering and healthcare. Teaching: Taught courses in analog electronics, control systems, and artificial neural networks at both undergraduate and graduate levels. Developed FPGA-based microcomputer training platforms for educational purposes. Labs/Teams: Active in labs focusing on biomedical signal processing, robotics control, and embedded systems design. Collaborates with industry on university-industry tech transfer initiatives.

• Neural Networks
• Biomedical Engineering
• Machine Learning
• +۶ مورد دیگر

İnci Umakoğlu is an Assistant Professor at the Department of Electrical and Electronics Engineering, Faculty of Engineering, Kutahya Dumlupınar University. She holds a PhD in Electrical-Electronics Engineering from Dumlupınar University (2017–2024) and has over 10 years of academic experience as a Research Assistant and faculty member. Her research focuses on NOMA systems, cooperative communications, satellite design, and autonomous UAV development. She actively advises student research projects supported by TÜBİTAK and leads initiatives in analog/digital communications and measurement laboratory operations. Education: Bachelor's in Electronics and Communication Engineering (Kocaeli University, 2009–2014) Master's in Electrical-Electronic Engineering (Dumlupınar University, 2015–2017) PhD in Electrical-Electronics Engineering (Dumlupınar University, 2017–2024) Her research interests include 5G/6G antenna design, deep learning-enhanced signal processing, and IoT integration in smart transportation systems. She has published extensively on NOMA systems, UAV-assisted networks, and OTFS modulation techniques. Currently teaches Analog Communication and Advanced Professional English in the undergraduate curriculum. She leads multiple projects including satellite telemetry systems, autonomous blood delivery UAVs, and low-altitude defense systems. Holds IEEE and ACES memberships, and coordinates Erasmus+ student exchange programs.

• NOMA Systems
• Cooperative Communications
• Relay Networks
• +۵ مورد دیگر

Ivan Milovanović is a faculty member at Singidunum University, affiliated with the Faculty of Technical Sciences under the Department of Informatics and Computing. He holds a doctoral degree in Advanced Protection Systems from Singidunum University (2009-2015), following a master's in Contemporary Information Technologies (2008-2009) and a bachelor's in Graphic Design (2004-2008). His research focuses on wireless communications, signal processing, neural networks, and telecommunications, with an emphasis on applications such as direction-of-arrival estimation, stochastic source localization, and channel modeling. He has published extensively in journals like the International Journal of RF and Microwave Computer-Aided Engineering and presented at conferences including TELSIKS and ICEST. Education: PhD: Advanced Protection Systems, Singidunum University (2009–2015) Master's: Contemporary Information Technologies, Singidunum University (2008–2009) Bachelor's: Graphic Design, Singidunum University (2004–2008) High School: Stevan Sremac Gymnasium (2000–2004) Research Interests: His work integrates neural networks with electromagnetic systems to address challenges in wireless communications, including signal localization, noise analysis, and adaptive antenna systems. He explores hybrid models for indoor/outdoor path loss calculation and secure wireless sensor networks for critical infrastructure protection. Recent studies focus on stochastic processes in far-field environments and the design of efficient neural network architectures for real-time signal processing. Publications: Key contributions include papers on DoA estimation using hierarchical neural models, analysis of WSN-FSO systems, and performance benchmarks for DBMS engines. His research bridges theoretical advancements with practical applications in telecommunications and data systems. Labs/Teams: Active in Singidunum University's research groups focusing on telecommunications and neural network applications. Collaborates with institutions like the Faculty of Electronic Engineering in Niš and international partners such as TU Dresden and TU Ilmenau.

• Wireless Communications
• Signal Processing
• Neural Networks
• +۳ مورد دیگر

Selim ŞEKER is a Professor at Uskudar University's Department of Electrical and Electronics Engineering, specializing in electromagnetic fields and their applications. He holds academic positions including Head of Department for Electrical and Electronic Engineering and Electronic Engineering, and serves on the Faculty Board. His research focuses on electromagnetic compatibility, biomedical engineering, wireless communication systems, forensic science (e.g., ink analysis via dielectric properties), and health effects of electromagnetic fields. Education: BSc in Electrical Engineering from Yıldız Technical University (1972), MSc (1978) and PhD (1982) in Electrical and Computer Engineering from George Washington University. Research Highlights : Development of discrete electromagnetic propagation models for atmospheric and urban environments. Investigations into electromagnetic radiation exposure from mobile base stations and transmission lines. Forensic applications of electromagnetic properties for material characterization. Bioeffects of 5G and high-frequency waves on human health and vegetation. Current Projects : Head of projects on electromagnetic compatibility, forensic material analysis, and laboratory infrastructure development. Leading initiatives for energy-efficient power systems and electrical machine research. Teaching : Courses include Advanced Wave Propagation, Electromagnetic Compatibility, and Health Effects of Electromagnetic Fields. Advising : Supervised at least one Master's thesis on safety distance assessment for transmission lines.

• Electromagnetic Compatibility
• Biomedical Engineering
• Wireless Communication Systems
• +۴ مورد دیگر

Eli De Poorter is a Professor at the Faculty of Engineering and Architecture , Ghent University , and affiliated with IMEC since 2017. His work bridges experimental wireless research with machine learning techniques, focusing on IoT , UWB localization , and self-learning networks . Received his PhD in 2011 from Ghent University’s Department of Information Technology FWO Postdoctoral Research Grant recipient Co-author of over 100 international publications Active in program committees of multiple conferences His research spans wireless protocol optimization , interference detection , and system configuration dependencies . Notable projects include UWB-based healthcare monitoring , industrial IoT networks , and animal wearables for agriculture . Develops energy-aware tinyML models for battery-less devices Explores Transformer networks and self-supervised learning for wireless systems Investigates multi-modal industrial IoT and Wi-Fi/UWB hybrid synchronization Scientific Awards FWO Postdoctoral Research Grant Labs & Teams Internet Technology and Data Science Lab (IDLab) IMEC research institute

• IoT
• Wireless Network Protocols
• Wireless Testbeds
• +۴ مورد دیگر