جست‌وجوی استاد و پژوهشگر

Ramón Martínez Rodríguez-Osorioمشاهده پروفایل

استاد

• Satellite Communications
• Antenna Systems
• Signal Processing
• +۴ مورد دیگر

Ramón Martínez Rodríguez-Osorio is a Full Professor at the Polytechnic University of Madrid's School of Telecommunications Engineering, Department of Signals, Systems and Radiocommunications. Born in Madrid (1975), he holds a Telecommunications Engineering degree (1999) and completed doctoral studies at UPM. He has been actively involved in research since 1999, focusing on satellite communications, antenna array systems, and machine learning applications in communication networks. Education: Telecommunications Engineering Degree, Polytechnic University of Madrid (1999) PhD in Signals, Systems, and Radiocommunications (UPM) Research Interests: His work centers on satellite communication systems, including adaptive beamforming, antenna array calibration, and interference mitigation. He also explores machine learning for resource management in 5G/6G networks and hybrid beamforming algorithms for VHTS systems. Recent projects include constellation design for non-terrestrial networks and rain attenuation prediction using LSTM networks. Key Projects: European COST project and national/international grants (CICYT, FEDER, INDRA) FUTURE-RADIO, PROMETEO, STAR, and FAST initiatives Development of the HispaSim satellite link optimization tool Awards: Fundación Telefónica Award (2000) for best final degree project Teaching & Innovation: Contributed to hands-on educational projects like antenna design for CubeSats and MIMO-Testbed systems. Co-authored books on modeling/simulation for communication systems and 3G UMTS technologies. Supervised multiple academic activities including thesis and MOOC development. Labs & Teams: Leads research in the LEHA (Laboratorio de Enlace Hiperfrecuencia y Antenas) lab, focusing on satellite link analysis, antenna measurement systems, and 5G terminal testing. Collaborates with industry partners like INDRA on applied research.

Murat Torlakمشاهده پروفایل

استاد

• Wireless Communications
• Signal Processing
• Antenna Systems
• +۷ مورد دیگر

Murat Torlak is a Professor in the Department of Electrical Engineering at the University of Texas at Dallas (UTD), affiliated with the Erik Jonsson School of Engineering and Computer Science. He holds a Ph.D. in Electrical Engineering from the University of Texas at Austin (1999), an M.S. from The University of Texas at Austin (1995), and a B.S. from Hacettepe University (1992). His research focuses on wireless communications, signal processing, MIMO systems, and automotive radar technologies. He has led projects on 4G/5G network optimization, spectrum sensing, and RF interference mitigation. Research interests include optimizing radio link protocols, cognitive radio networks, and antenna array design. Notable contributions include advancements in beamforming, MIMO testbed development, and real-time implementation of wireless systems. He has received grants totaling over $2M, including funding from NIH, NSF, and Texas Instruments. His work on automotive radar signal processing and mmWave imaging has been highlighted in news articles, emphasizing innovations in multi-user MIMO and global roaming technologies. Awards include the 2004 IEEE Outstanding Service Award and a 2001 Best Paper Award. His lab collaborates on projects like the 'Generic Autonomous Platform for Sensor Systems' (GAP4S) and cochlear implant stimulation systems. Grants: Over 15 funded projects, including NIH grants for cochlear implant research and Texas Instruments grants for OFDM systems. Awards: IEEE honors, NSF fellowships, and industry accolades. Projects: Developed MIMO-SAR mmWave imaging testbeds and advanced interference mitigation techniques.

• Telecommunications
• Antenna Design
• Wireless Communication
• +۱۷ مورد دیگر

Houda Harkat is an Assistant Professor at Universidade Lusófona, affiliated with the Associação para a Investigação e Desenvolvimento em Cognição e Computação Centrado nas Pessoas. She also holds research positions as a Researcher at Université Sidi Mohamed Ben Abdellah, Faculté des Sciences et Techniques de Fès, and as an Invited Auxiliary Researcher at UNINOVA Instituto de Desenvolvimento de Novas Tecnologias. Her academic foundation includes a PhD in Engineering Sciences, a Master’s in Telecom and Network Engineering, and a Licence in Mathematics, Informatics, and Physics, all from Moroccan institutions. PhD in Engineering Sciences, Physical Sciences, Mathematics and Computer Science – Université Sidi Mohamed Ben Abdellah (2018) Master in Telecom and Network Engineering – Université Sidi Mohamed Ben Abdellah (2013) Licence in Mathematics, Informatics, and Physics – Université Sidi Mohamed Ben Abdellah (2010) Her research spans two key domains: telecommunications and antenna systems , focusing on UWB antennas, beam steering, WiMAX/WLAN, and microstrip arrays; and artificial intelligence for environmental and human sensing , including wildfire detection using aerial imagery and deep learning (e.g., Deeplabv3+, MobileNetv2), and Wi-Fi-based gesture/sign language recognition via Channel State Information (CSI). Her work integrates simulation tools like HFSS and CST with optimization techniques such as genetic algorithms. The recent publications highlight a clear shift toward AI-driven solutions in cyber-physical systems, particularly in fire detection and segmentation using deep learning models, alongside continued contributions in wireless communication and antenna design. Her interdisciplinary work bridges signal processing, machine learning, and environmental monitoring, with growing emphasis on unmanned aerial systems and IoT-based decision support. Her scientific contributions include 11 journal articles, 4 book chapters, and numerous conference papers. She has participated in multiple research projects as a PhD and post-doctoral fellow, contributing to advancements in GPR signal processing, wireless sensing, and intelligent systems. Project participation: PhD Student Fellow in 1 project Post-doc Fellow in 1 project Organized 3 academic events Houda Harkat is actively involved in interdisciplinary research labs and teams focusing on intelligent systems, including UNINOVA’s Institute for New Technologies Development and wildfire monitoring initiatives such as the FIREFRONT project, which leverages aerial vehicles and AI for firefront forecasting and disaster management support.

Kari Stadiusمشاهده پروفایل

پژوهشگر ارشد

• RF Engineering
• Microwave Technology
• Antenna Design
• +۴ مورد دیگر

Kari Stadius is a Senior Scientist at the Department of Electronics and Nanoengineering at Aalto University , and a member of the Jussi Ryynänen Group . He specializes in RF Engineering and Microwave Technology , with a focus on CMOS Circuits for mmWave Systems and 5G Communication . His research includes designing passive CMOS circulators , high-frequency mixers , and wideband down-converters , addressing challenges in impedance matching , noise reduction , and power handling . Recent work explores applications in 5G technology and microwave frequency optimization . Stadius leads the Extended Frequency Range Multi-Carrier Receiver project (2016–2020), funded by the Academy of Finland , contributing to advancements in beamforming and interference cancellation . He holds a Doctoral degree (2015), Licentiate degree (1997), and Master's degree (1994) in Engineering and Technology from Helsinki University of Technology (now part of Aalto University). His expertise spans RF circuit design , microwave components , and wireless communication systems .

• Wireless Communications
• Precision Agriculture
• Infrastructure Sensing
• +۳ مورد دیگر

James Krogmeier is an Associate Dean for Facilities and Planning and Professor of Electrical and Computer Engineering at Purdue University. He holds affiliations across multiple departments including Agricultural & Biological Engineering, Civil and Construction Engineering, and the School of Electrical and Computer Engineering. His administrative roles include membership in the Engineering Leadership Team, Engineering Cabinet, Space Planning and Allocation Committee, CoE Safety Committee, and Facilities Committee. His research focuses on interdisciplinary engineering challenges at the intersection of wireless communications, precision agriculture, and infrastructure monitoring. Key areas include IoT-enabled agricultural systems, pavement integrity assessment using radar data, and waveform design for advanced communication systems. He has contributed to projects like Meta Ag (automated agricultural metadata collection) and OATSMobile (underground sensor data hubs). His work integrates field data from telematics, GPS, and sensor networks to improve decision-making in agriculture and transportation. Recent trends in his publications show strong emphasis on practical applications of machine learning in infrastructure monitoring, rural IoT connectivity, and autonomous systems in farming. While no formal awards are listed, his extensive list of publications reflects sustained impact in his fields. His advising record shows no listed students, though collaborations with industry partners (e.g., on snowplow tracking systems) suggest applied research focus. He leads development of tools like the Pavement Patching Management software and ISOBlue HD agricultural data platforms. Labs/teams: Active involvement in Purdue's agricultural IoT initiatives, transportation infrastructure research groups, and wireless communication laboratories. His work bridges academia and practical applications through partnerships with departments across multiple engineering disciplines.

• Computational Electromagnetics
• Statistical Electromagnetics
• Quantum Electromagnetics
• +۶ مورد دیگر

Zhen Peng is an Associate Professor in the Department of Electrical and Computer Engineering (ECE) at the University of Illinois at Urbana-Champaign (UIUC), part of the College of Engineering. He holds a B.S. from the University of Science and Technology of China and a Ph.D. from the Chinese Academy of Sciences. Prior to UIUC, he was an Assistant Professor at the University of New Mexico (2013–2019) and a Postdoctoral Fellow at The Ohio State University (2008–2013). Research Interests: Prof. Peng’s work focuses on theoretical and computational electromagnetics, including scalable algorithms, statistical wave physics, quantum electromagnetics, and chaotic reverberation chambers. His research integrates machine learning, quantum computing, and domain decomposition methods to address challenges in wireless communication, metamaterials, and electromagnetic compatibility. Recent Achievements: His group has developed groundbreaking frameworks like Photon Splatting for real-time channel modeling and quantum annealing-based optimization for reconfigurable surfaces. Key contributions include the efficient simulation of large metasurfaces and stochastic Green’s function methods for wave-chaotic environments. His work has been recognized through awards such as the NSF CAREER Award (2018), IEEE Antennas and Propagation Society Distinguished Lecturer (2024), and multiple best paper awards. Grants & Collaborations: Supported by NSF, ONR, and DARPA, his research spans academia and industry, including collaborations with Nokia and GreenerWave. He is a leader in advancing smart radio environments and computational electromagnetics education. Labs & Teams: The Advanced and Applied Computational Electromagnetics (ACEM) Group, led by Peng, drives innovation in electromagnetic modeling, quantum-assisted optimization, and statistical wave analysis. Recent highlights include developing hybrid classical-quantum computing frameworks and scalable algorithms for extreme-scale problems.

Suraj Jogمشاهده پروفایل

پژوهشگر

• Wireless Networking
• RF Sensing
• IoT and Low Power Networks
• +۱ مورد دیگر

Suraj Jog is a Senior Research Scientist in the Networking Research Group at Microsoft Research, Redmond. He holds a PhD in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign (UIUC), advised by Haitham Hassanieh, and a Bachelor of Technology in Electrical Engineering from IIT Bombay. His research focuses on Wireless Networking , RF Sensing , IoT and Low Power Networks , and Machine Learning . He has contributed to projects like FarmBeats and developed systems such as HawkEye for mmWave imaging. His work spans spectrum efficiency in satellite networks, mmWave beam alignment, and ambient signal utilization for IoT localization. Notable achievements include the Qualcomm Innovation Fellowship 2020, Third Place in the SIGCOMM 2020 Student Research Competition, and the Joan and Lalit Bahl Fellowship. He serves on editorial boards for IEEE Network Magazine and conference program committees like MobiCom 2023/2024. His research bridges theoretical advancements with practical applications, such as reducing environmental sensing costs by 50x and demonstrating mmWave imaging in foggy conditions. Advising: No formal advisees listed. Current roles include leadership in the Networking Research Group at Microsoft, and contributions to open-source projects and datasets for radar imaging and mmWave systems.

• Machine Learning
• Smart Grids
• Internet of Things (IoT)
• +۳ مورد دیگر

Assistant Professor in the Faculty of Engineering and Science at University of Agder, Norway. Active researcher in machine learning, smart grids, and wireless communication systems with specific focus on energy applications and IoT technologies. Current institution: University of Agder Email: surender.redhu@uia.no Research Interests: Specializes in applying advanced machine learning techniques to energy systems and IoT networks. Works on electricity price forecasting models, smart home energy optimization with cognitive data fusion, and wireless sensor management in constrained environments. Recent Article Trends: 15 publications from 2021-2023 show consistent focus on temporal-spatial neural networks for energy prediction, UAV-based IoT powering strategies, and biomedical signal interpretation with deep learning systems.

Antonio Petošićمشاهده پروفایل

استاد

• Acoustics
• Environmental Noise
• Transformer Acoustics
• +۷ مورد دیگر

Prof. Dr. sc. Antonio Petošić is a Full Professor at the Department of Electroacoustics, Faculty of Electrical Engineering and Computing, University of Zagreb. He serves as Deputy Head of the Department and leads the Laboratory for Determining Properties of Complex Materials Using Acoustic Methods (LOSKSAM). His research spans transformer acoustics, wind turbine noise, building acoustics, ultrasound transducers, and noise barriers. Department: Electroacoustics Academic Rank: Professor Email: antonio.petosic@fer.unizg.hr His work includes modeling wind turbine noise under varying meteorological conditions, exploring HVAC noise, and developing beamforming algorithms for acoustic cameras. He contributes to open-access educational materials in acoustics through the Acoustics Knowledge Alliance project. Research interests include: Transformer noise localization using adaptive beamforming Electromechanical characterization of piezoceramics Urban soundscape perception influenced by avian vocalizations Genetic algorithm optimization for noise barriers and FPGA systems Sound insulation measurement uncertainties He has developed laboratory exercises in electroacoustics and digital audiotechnics while maintaining active collaborations in biomedical ultrasound and smart city noise reduction.

Gary B Lamontمشاهده پروفایل

استاد

• Evolutionary Algorithms
• Multi-Objective Optimization
• Computational Intelligence
• +۷ مورد دیگر

Dr. Gary B. Lamont is a Professor in the Department of Electrical and Computer Engineering at the Air Force Institute of Technology (AFIT), part of Air University. His work bridges computational intelligence, evolutionary algorithms, and defense systems engineering, with extensive applications in aerospace, cybersecurity, and autonomous systems. Ph.D., University of Minnesota Institute of Technology, 1970 Master of Science in Electrical Engineering, University of Minnesota Institute of Technology, 1967 Bachelor of Physics, University of Minnesota Institute of Technology, 1961 Dr. Lamont’s research centers on multi-objective evolutionary algorithms (MOEAs) , with applications in UAV swarm mission planning, network intrusion detection, image processing, and protein structure prediction. He has pioneered the use of evolutionary computation in military and defense contexts, including radar waveform design, satellite constellation planning, and autonomous agent behavior generation. His work often integrates swarm intelligence, artificial immune systems, and distributed optimization techniques. The recent publications highlight a strong trend toward military and defense applications of computational intelligence, particularly in electronic warfare, space surveillance, and cyber defense. His work frequently employs multi-objective optimization to balance competing constraints in real-world systems such as radar, UAV swarms, and network security architectures. Image processing and signal transformation using evolved algorithms also remain active areas, especially for defense imaging and compression. IEEE Fritz Russ Bio-Engineering Award, 2008 IEEE Senior Life Member, 2004 Eta Kappa Nu AFIT Teacher of the Year, 2002 WPAFB Professional Employee of the Year, 1981 Best Presentation Award, Institute of Navigation, 2008 BEST PAPER AWARD, Gameon North America '09 Best Paper Award Nominee, IEEE SSCI 2007 Dr. Lamont has advised numerous graduate students, including Jeremy Stringer, Mark Kleeman, and Dustin Nowak, many of whom have co-authored significant publications with him. His research has been supported by the U.S. Air Force and other defense agencies, enabling high-impact work in autonomous systems, network security, and optimization under uncertainty. He has led projects involving multi-agent systems, self-organized swarms, and parallel evolutionary algorithms, often in collaboration with institutions like Wright-Patterson Air Force Base. His research group at AFIT operates at the intersection of computational intelligence and defense engineering, focusing on self-organized UAV swarms , evolutionary intrusion detection systems , and adaptive signal processing . The team utilizes high-performance computing environments and simulation platforms like Swarmfare to test swarm behavior and mission planning algorithms. The lab emphasizes software engineering discipline in AI systems, as seen in tools like jREMISA, and integrates biological metaphors such as immune systems and genetic algorithms into robust cyber defense frameworks.

• Ultrasonic Imaging
• Medical Engineering
• Contrast Media Detection
• +۳ مورد دیگر

Georg Schmitz is a full Professor of Medical Technology at Ruhr-Universität Bochum, leading the Medical Engineering department within the Faculty of Electrical Engineering and Information Technology. He holds a Dr.-Ing. from Ruhr-Universität Bochum (1995) and previously worked at Philips Research (1995-2001) before academic roles at University of Applied Sciences Koblenz (2001-2004) and his current position since 2004. He served as Dean of the Faculty (2009-2012) and is a Senate member since 2014. Research Focus: Ultrasound imaging innovations including contrast media detection, nonlinear reconstruction methods, and photoacoustic imaging. Societies: Senior IEEE member, Acoustical Society of America, VDE, and key roles in global ultrasound societies (WFUMB, EFUSUMB, DEGUM). Editorial Roles: Associate Editor for IEEE Transactions on Ultrasonics and Editorial Advisory Board member for Ultrasound in Medicine and Biology. His work bridges biomedical engineering and clinical applications, with over 150 publications since 2000. Recent research emphasizes super-resolution ultrasound microscopy, deep learning in imaging, and novel beamforming techniques. Active in international conferences as program chair (e.g., 2017 IEEE International Ultrasonics Symposium). Key Projects: Development of ultrasound localization microscopy (ULM), motion correction algorithms, and microbubble tracking systems. Collaborations in cancer imaging, vascular characterization, and therapeutic ultrasound applications.

• Engineering and technology
• Computer hardware
• Computer theory
• +۳ مورد دیگر

Joris Van Kerrebrouck is a postdoctoral researcher at Ghent University within the Faculty of Engineering and Architecture , affiliated with the Department of Information Technology (EA05) . His work focuses on high-speed optical and electronic systems. Research Themes: Silicon photonics, radio-over-fiber technology, neuromorphic photonic circuits, heterogeneous integration, and millimeter-wave communication systems. Key Contributions: Development of ultra-high bandwidth modulator drivers, Tb/s optical transceivers, programmable photonic neurons, and advanced beamforming networks. Collaborations: Active partnerships with IMEC, academic institutions, and industry leaders in photonics and semiconductor technologies. Technical Expertise: SiGe BiCMOS, III-V integration, micro-transfer printing, and optical-electrical co-design.

Florian Vogelsangمشاهده پروفایل

پژوهشگر

• Microwave Engineering
• Semiconductor Devices
• Terahertz Technology
• +۳ مورد دیگر

Florian Vogelsang is a Researcher at the Ruhr University Bochum , affiliated with the Faculty of Electrical Engineering and Information Technology and the Integrated Systems department. His work focuses on high-frequency electronics, terahertz technology, and microwave circuit design. Research Interests: Microwave and terahertz signal generation Silicon Germanium (SiGe) and Indium Phosphide (InP) device integration Millimeter-wave radar systems and phased arrays High-efficiency RF circuits and frequency multipliers Compact and energy-efficient sensor modules Scientific Contributions: Over 15 publications (2016–2025) in IEEE journals and conferences Key work on 0.48 THz FMCW radar sensors and ultra-wideband transceivers

Mohammad Saquibمشاهده پروفایل

استاد

• Wireless Data Transmission
• Signal Processing
• Radio Resource Management
• +۷ مورد دیگر

Mohammad Saquib is a Professor in the Department of Electrical Engineering at the Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas. He has been a faculty member at UT Dallas since 2000, progressing from Assistant to Associate and currently Professor. Prior to this, he held assistant professor positions at Louisiana State University. Education: Ph.D. in Electrical Engineering, Rutgers University, 1998 M.S. in Electrical Engineering, Rutgers University, 1995 B.S. in Electrical Engineering, Bangladesh University of Engineering & Technology, 1991 Mohammad Saquib's research focuses on wireless data transmission, emphasizing system modeling, performance evaluation, signal processing, and radio resource management. A significant portion of his work explores open-access spectrum sharing techniques and the development of low-cost signal processing solutions for radar and medical applications, particularly in microsurgery. His expertise bridges theoretical and applied domains in communications and signal processing. The 15 most recent articles (limited to 8 available) reflect a consistent focus on wireless systems, signal processing algorithms, and their applications in aerospace, medical, and mobile networks. Key themes include interference mitigation, handover optimization, adaptive modulation, and real-time physiological signal prediction. The publications appear in top-tier IEEE journals, demonstrating sustained scholarly impact. Scientific Awards and Recognitions: University of Texas System Regents’ Outstanding Teaching Award, 2014 Best paper award, International Test Synthesis Workshop (ITSW), 2007 Best student paper award, IEEE International Waveform Diversity and Design Conference, 2009 Best doctoral dissertation award (advised student), 2005 Donald Ceil & Elaune T. Delaune Endowed Professorship, 2000–2004 IEEE Senior Member (2009–present) Multiple best paper finalists and teaching recognitions Mohammad Saquib has successfully advised numerous graduate students, many of whom have received national awards for their research and theses. He has served as associate editor for IEEE Transactions on Wireless Communications and IEEE Communications Letters , contributing significantly to academic service. His work has been supported by institutional and professional recognition, though specific grant details are not listed in the text. He is deeply committed to teaching excellence, as reflected in multiple awards and student testimonials. He leads research in wireless and signal processing systems, likely supervising a lab or research group focused on communications and biomedical signal processing, though no formal lab name is provided.

Tingwei Zhangمشاهده پروفایل

مدرس

• Electrical Engineering
• Computer Science
• Machine Learning
• +۳ مورد دیگر

Tingwei Zhang is an Instructor in the School of Electrical Engineering and Computer Science at Oregon State University, affiliated with the Department of Electrical and Computer Engineering. Holding a Ph.D. and M.S. from Oregon State University and a B.S. from Tiangong University, China, they specialize in interdisciplinary research spanning wireless communication, energy storage, and biomedical applications. Ph.D. Electrical and Computer Engineering, Oregon State University, 2024 M.S. Electrical and Computer Engineering, Oregon State University, 2020 B.S. Electrical Engineering, Tiangong University, China, 2014 Their research integrates machine learning with signal processing for wireless localization, explores advanced energy storage materials for electrochemical systems, and investigates the biological impacts of radiofrequency exposure. Recent work emphasizes the convergence of hardware optimization and algorithmic innovation in RF engineering. Publications analyze trends in energy materials, indoor positioning algorithms, and RF safety. The 2025 article on poly(ionic liquids) highlights sustainable energy storage, while the 2020 study on zebrafish development underscores interdisciplinary applications in bioelectromagnetics.