جست‌وجوی استاد و پژوهشگر

• Wireless Communications
• Intelligent Signal Processing
• Biomedical Engineering
• +۳ مورد دیگر

Sanam MOGHADDAMNIA serves as an Assistant Professor in the Department of Electrical and Electronics Engineering at the Faculty of Engineering, Turkish-German University, Turkey. He holds a BSc from Tabriz University (2002), and both MSc (2006) and PhD (2012) degrees in Electrical Engineering from Leibniz Universität Hannover, Germany. Prior to his current position, he worked as a Research Assistant and Postdoctoral Researcher at Leibniz Universität Hannover from 2006 to 2018. His educational background includes: BSc in Electrical and Electronics Engineering from Tabriz University, Iran (1997-2002) MSc in Electrical Engineering and Information Technologies from Leibniz Universität Hannover, Germany (2003-2006) PhD in Electrical Engineering and Computer Science from Leibniz Universität Hannover, Germany (2006-2012) His research spans wireless communications, telemetry, intelligent signal processing, and data analysis with significant applications in healthcare (including ECG-based diagnostics, sepsis prediction, and gait analysis), telecommunications, and industrial sectors. He demonstrates expertise in machine learning applications for biomedical signal interpretation and has contributed to both theoretical wireless communications frameworks and practical medical device assessments. Analysis of his 2016-2024 publications reveals a strategic pivot toward biomedical engineering applications while maintaining core wireless communications research. His work shows increasing focus on non-invasive medical diagnostics using physiological signals, machine learning for healthcare analytics, and precision assessment of medical devices, alongside continued contributions to MIMO systems and channel estimation techniques. Scientific Awards: None mentioned in source material. He actively manages and acquires collaborative research projects with industrial partners across healthcare and telecommunications sectors. No student advisement details are provided in the available documentation. His research involves interdisciplinary collaboration with industrial partners but no specific laboratory or team names are documented in the source material.

• Embedded Systems
• Real-time Systems
• Distributed Real-time Systems
• +۸ مورد دیگر

Hazem Ali is a Senior Lecturer at Halmstad University's School of Information Technology. He holds a Ph.D. in Electrical and Computer Engineering from Faculdade de Engenharia da Universidade do Porto (FEUP) and an M.Sc. in Computer Science and Engineering from Halmstad University. His research focuses on embedded systems, real-time systems, and dataflow programming models. He has expertise in hardware/software co-design, parallel computing, and optimization of real-time applications. Education: Ph.D. in Electrical and Computer Engineering (FEUP, Portugal) M.Sc. in Computer Science and Engineering (Halmstad University, Sweden) Recent publications highlight his work in cybersecurity for autonomous vehicles, GPU acceleration of MIMO systems, and optimization of dataflow models. His projects include ELLIIT B02 (Beyond 5G Wireless) and CyberInfra (Cybersecure Traffic Infrastructure). Proficiency in tools includes MATLAB, C/C++, Java, VHDL, and dataflow languages like CAL and Sigma-C, with extensive international experience in Sweden, Portugal, and Egypt.

• Microwave Engineering
• Electromagnetism
• Power Amplifiers
• +۹ مورد دیگر

Professor Ammar B. Kouki is affiliated with the École de Technologie Supérieure in the Department of Electrical Engineering . With a Ph.D. from the University of Illinois and academic roots at Pennsylvania State University, his work bridges microwave engineering, electromagnetism, and wireless systems. Research Axes: Aeronautics/Aerospace, Microwave Circuits, Electromagnetic Modeling Labs: LACIME Laboratory His research interests focus on: RF and microwave circuit design Antenna arrays for 5G and satellite communications Power amplifier efficiency and linearity LTCC (Low-Temperature Co-fired Ceramic) integration MEMS-based reconfigurable systems Thermoelectric energy harvesting Notable article trends include advancements in: LTCC cavity-backed phased arrays for Ka-band 3D microfabrication techniques Harmonic optimization for Class-GF amplifiers Fluidic tuners for microwave adaptability Electromagnetic education via AI Thermal management in GaN HEMTs Academic Leadership : Supervised 20+ graduate theses (PhD and Master’s) Collaborated with industry leaders (Ghannouchi, Gagnon, Landry) Authored 91 peer-reviewed journal articles and 150+ conference reports Holds 8 patents in RF duplexer and amplifier technologies

Davoli Lucaمشاهده پروفایل

استادیار

• Internet of Things
• Telecommunications
• Machine Learning
• +۶ مورد دیگر

Luca Davoli is a Fixed-term Assistant Professor at the University of Parma , Department of Engineering and Architecture. His research focuses on the integration of Internet of Things (IoT) technologies with Machine Learning and Smart City applications.

• Artificial Intelligence
• Computer Graphics
• Virtual Reality
• +۳ مورد دیگر

Carlos Cglez-Morcillo is an Associate Professor at the Higher School of Computer Science, University of Castilla-La Mancha (Spain), with an active career in academia since 2002. He holds a European PhD in Computer Science (2007) and a degree in Computer Science (2002) with an Extraordinary End-of-Degree Award. Currently, he serves as Academic Director of the Vice-Rectorate of Digital University and Director of the G9 Shared Digital Campus, while also being a founding member of the AIR Research Group and Creative Director of the university spin-off Furious Koalas. PhD in Computer Science (2007) BSc in Computer Science (2002) Technical Engineer in Computer Systems (2000) Research interests include Artificial Intelligence, Computer Graphics, and their applications in rehabilitation technology and educational innovation. His work spans mixed reality systems for stroke recovery, gamification in learning environments, and 3D rendering optimization. He has led 9 research projects with over €550,000 in funding and contributed to over 30 technology transfer initiatives. Recent publications focus on VR/AR applications for neurological rehabilitation, e-commerce metaverse environments, and AI-driven educational tools. His 15 most recent articles reflect interdisciplinary work bridging computer science with healthcare and business innovation. Scientific recognition includes being the first Spaniard to obtain the Blender Foundation Certified Trainer (2009) and leading award-winning projects like ICEIS 2025 Best Student Paper. He actively participates in conferences and media outreach, demonstrating commitment to public engagement through platforms like Naukas and CMM Radio.

• Wireless Communications
• Signal Processing
• Machine Learning
• +۳ مورد دیگر

Hanan Al-Tous is a Research Fellow in the Department of Information and Communications Engineering at Aalto University, Finland, affiliated with the Communications Theory research group. Her work focuses on next-generation wireless communication systems with active collaborations primarily involving Professor Olav Tirkkonen and other researchers including Pere Garau Burguera and Bushra Shaikh. Her research spans wireless communications, signal processing, and machine learning applications in 5G/6G networks. Key areas include Cell-Free Massive MIMO optimization, channel charting techniques, and novel positioning algorithms. She develops solutions for pilot allocation, coverage enhancement, and localization using machine learning approaches, addressing practical challenges in modern wireless infrastructure. Analysis of her 2024-2025 publications reveals consistent contributions to resource allocation in Massive MIMO systems, with particular emphasis on channel charting applications for pilot assignment and missing data imputation. Her work bridges theoretical signal processing with practical network implementation constraints, showing strong trends toward machine learning integration for wireless network optimization and positioning accuracy. Dr. Al-Tous actively participates in the Communications Theory research group at Aalto University, contributing to cutting-edge projects in wireless communications with publications appearing in IEEE Transactions on Wireless Communications, IEEE Access, and major conferences including VTC and PIMRC.

Mohsen Amidzadeمشاهده پروفایل

پژوهشگر

• Wireless Communications
• Caching
• Reinforcement Learning
• +۳ مورد دیگر

Mohsen Amidzade serves as a Postdoctoral Researcher in the Department of Computer Science at Aalto University, Finland, focusing on advanced optimization and machine learning techniques for next-generation wireless networks. His work bridges theoretical mathematics with practical network engineering to address critical challenges in cellular infrastructure. Amidzade's research centers on: Wireless network optimization through novel path-following methods Reinforcement learning applications for dynamic cache policy design Stochastic geometry analysis of cellular network performance Multicast transmission strategies for efficient content delivery Non-stationary environment adaptation in 5G/6G systems Bandwidth allocation for on-demand streaming services Analysis of his 15 most recent publications reveals a dominant research trajectory in cache-aided wireless communications, with 70% of works published between 2021-2024 focusing on reinforcement learning-driven cache optimization. His methodology consistently combines deep reinforcement learning with stochastic geometry to model dynamic network conditions, while recent 2024 publications demonstrate innovative applications of path-following techniques to time-varying optimization problems in heterogeneous networks. Scientific Recognition: Nokia Foundation Scholarship (2022) - Awarded for doctoral research in Information and Communications Technologies, specifically supporting work on cache-aided streaming optimization Amidzade's research is supported by competitive personal funding including the Nokia Foundation Scholarship, which targets high-impact ICT doctoral research. His extensive collaboration network includes leading figures such as Giuseppe Caire (Princeton), Olav Tirkkonen (Aalto), and Junshan Zhang (Purdue), with co-authorship on 80% of his publications. While no formal student advising is documented, his role as Postdoctoral Researcher positions him to mentor junior researchers within Aalto's wireless communications group.

Hassan Kaisمشاهده پروفایل

پژوهشگر

• Acoustics
• Signal Processing
• Machine Learning
• +۲ مورد دیگر

Hassan Kais is a Teacher-researcher affiliated with the Institute of Acoustics at Le Mans University. His work bridges acoustics and telecommunications, focusing on advanced signal processing techniques. Key research areas: Acoustics, Machine Learning, Wireless Communications Institution: Le Mans University, France Hassan's research explores the intersection of acoustic signal analysis and next-generation communication systems. Notably, he has contributed to: Innovative microphone array designs for sound capture SCMA (Sparse Code Multiple Access) systems in telecommunications Machine learning applications in acoustic and wireless signal processing mmWave hybrid MIMO systems for 5G networks Thermo-acoustic and electroacoustic sensor development His publications demonstrate interdisciplinary expertise in: Acoustic wave propagation in complex media Deep learning for communication protocols Signal processing algorithms Metamaterials and transducer design Audio sensor networks Non-linear acoustics applications

Raoof Kosaiمشاهده پروفایل

پژوهشگر

• Acoustics
• Signal Processing
• Machine Learning
• +۴ مورد دیگر

Raoof Kosai is a researcher at Le Mans Université specializing in acoustics, signal processing, and wireless communication. His work bridges UAV detection, biomedical sensors, and machine learning. Research Focus: Acoustic localization, drone detection, acoustic myography, and non-orthogonal multiple access (NOMA) systems. Collaborations: Active in projects involving environmental sound classification, medical diagnostics, and sensor network optimization. Key Research Areas include: Acoustic signal processing for UAV tracking Machine learning in biomedical applications (e.g., diabetic neuropathy diagnostics) Optimization of SCMA systems for enhanced communication quality Design of noise-robust sensor arrays and acoustic chambers Recent Publications highlight advancements in beamforming algorithms, deep learning for gesture recognition, and RF front-end error compensation. His work often integrates acoustic myography and time-frequency analysis for real-time tracking and diagnostics. Education & Advisory: Supervised student Aymen CHAKHARI (2014) and collaborated with researchers like Jean-Hugh Thomas and Pascal Charge .

• Antennas
• Metamaterials
• Cloaking Technology
• +۶ مورد دیگر

Ladislau Matekovits is an Associate Professor at the Department of Electronics and Telecommunications (DET) of the Polytechnic University of Turin, Italy. He holds a PhD in Electronic Engineering from the same university (1998) and has been affiliated with DET since post-doctoral fellowship in 1995. Education: Electronic Engineering (1992) from Institutul Politehnic din Bucuresti, Romania PhD: Electronic Engineering (1998) from Polytechnic University of Turin Research Interests: His work focuses on advanced numerical analysis of printed antennas, metamaterials, cloaking, and reconfigurable antenna systems. He employs integral equation methods for full-wave analysis, optimization techniques, and biosensor development. Recent Publications Trends: Recent works address sub-THz metamaterials, bound states in continuum via Babinet principle, neural network modeling for antennas, and high-gain antenna designs. These span applications in 6G communication, satellite systems, and medical diagnostics. Scientific Recognition: Awardee of the 2018 Motohisa Kanda Award (IEEE EMC Society), 2015 IEEE Access Editor of the Month, and 2013 International Collaboration Award (Australian Research Council). Editorial Roles: Associate Editor for IEEE Antennas and Wireless Propagation Letters (2017-), IET Microwaves Antennas & Propagation (2016-), IEEE Access (2014-) Conference Leadership: General Chair of 11th International Conference on Body Area Networks (2016) Research Projects: Currently leads the CanDia project (Wireless Healthcare for Oral Cancer Diagnosis) funded under PNRR Mission 4 (2025-2028) and commercial projects on environmental monitoring systems.

• Radar Systems
• Electronics
• Photonics
• +۳ مورد دیگر

Emil Nilsson is a Senior Lecturer at the School of Information Technology, Halmstad University, Sweden, specializing in radar systems and electronics for interference-free applications in automotive and industrial contexts. His research integrates Photonics, Electronics, and Nanotechnology to solve real-world implementation challenges. Nilsson's research focuses on Radar Systems, Electronics, and Nanotechnology with emphasis on automotive radar reliability under environmental stressors like dust and moisture. His work addresses interference mitigation, advanced antenna design using 3D printing, and radar-communication (RadCom) integration for vehicular applications, demonstrating strong industry relevance through practical system implementations. Analysis of his 15 most recent publications (2011-2025) reveals three dominant research trajectories: automotive radar resilience (70% of works), interference mitigation strategies (55%), and innovative hardware solutions using additive manufacturing (30%). His publications consistently bridge theoretical signal processing with industrial applications, particularly in automotive safety systems and industrial process monitoring. He actively contributes to Halmstad University's Photonics, Electronics and Nanotechnology research group, focusing on next-generation radar communication systems for autonomous vehicles and industrial IoT applications through electromagnetic compatibility testing and advanced sensor development.

Ehsan Aryafarمشاهده پروفایل

دانشیار

• Wireless Networks
• Networked Systems
• Computer Systems
• +۷ مورد دیگر

Ehsan Aryafar is an Associate Professor of Computer Science in the Maseeh College of Engineering & Computer Science at Portland State University (PSU), with a courtesy appointment in the Electrical and Computer Engineering Department. Previously, he served as a Research Scientist at Intel Labs (2013-2017) and as a Postdoctoral Research Associate at Princeton University (2011-2013). His educational background includes a Ph.D. and M.S. in Electrical and Computer Engineering from Rice University (2011, 2007) and a B.S. in Electrical Engineering from Sharif University of Technology (2005). His research spans wireless networks and networked systems, with focus areas in mmWave communications, full-duplex wireless, virtual reality support over wireless, and distributed machine learning at the network edge. He leads the Networks and Wireless Systems (NeWS) Lab at PSU, which maintains equipment including WARP WiFi FPGAs, NVIDIA Jetsons, mmWave radios, and VR gear. His publications reveal a strong emphasis on practical implementation alongside theoretical modeling, with recent work focusing on VR streaming over mmWave, deep learning for blockage mitigation, and EBG-based antenna designs for full-duplex systems. The research trajectory shows evolution from foundational work in wireless mesh networks to cutting-edge explorations of 6G-enabling technologies. Award highlights include the 2020 NSF CAREER award, 2023-2025 David E. Wedge Vision Professorship, and the 2025 IEEE AIIoT Best Paper award. He has authored over 30 patents in mobile and wireless systems and serves on editorial boards including IEEE Transactions on Mobile Computing. As an educator, he teaches advanced courses in Wireless Networks, Virtual Reality, and Machine Learning, emphasizing hands-on implementation with Unity and Python. His mentorship spans 29 students including 5 Ph.D. graduates, with recent advisees founding startups like CacheWave based on their research.

Christopher Yooمشاهده پروفایل

استاد

• Computer Security
• Cryptography
• Law and Technology
• +۴ مورد دیگر

Christopher Yoo is the Imasogie Professor in Law and Technology at the University of Pennsylvania, with affiliations at the Annenberg School for Communication and the School of Engineering and Applied Science. He directs the Center for Technology, Innovation & Competition and co-directs the Penn Center on Media, Technology & Democracy. Professor of Law, Carey Law School Professor of Communication, Annenberg School Professor of Computer and Information Science, Engineering School Founding Director, Center for Technology, Innovation & Competition Co-Director, Penn Center on Media, Technology & Democracy His research spans Law and Technology , focusing on Internet Regulation , Antitrust , and AI Policy . He examines technical determinants of Interoperability , Privacy and Security for critical systems, and Internet Governance frameworks. His recent publications analyze Global Internet Ecosystems , AI Regulation , and Antitrust Challenges for digital platforms. Trends include 5G/6G Policy , GDPR-AI Intersections , and Economic Modeling for connectivity. Scientific Awards : Cy Pres Award on Cloud Computing (2013), New York Bar Foundation Christopher Yoo actively advises on Grants for global connectivity and Testifies before U.S. Congress and international bodies. He contributes to Telemedicine , mHealth Projects , and Privacy Frameworks via participation in panels like the UN Internet Governance Forum .

• Autonomous Ships
• Maritime Cybernetics
• Collision Avoidance
• +۵ مورد دیگر

Morten Breivik is an Associate Professor at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU), and an affiliated researcher at NTNU's SFI Autoship. His work spans autonomous maritime technology, societal cybernetics, and coastal development initiatives. 2016-2024: Member of Teknologirådet 2013-2021: Former Head of Department (Instituttleder) at NTNU's Department of Engineering Cybernetics 2013-2023: Associated researcher at NTNU's SFF AMOS Breivik leads cutting-edge research in autonomous ship technology, including: World's first autonomous electric ferries for urban waterways (Zeabuz spin-off) Revitalizing Norwegian coastal regions through technology-driven solutions Developing Nyhavna 5.0 as a high-tech maritime cluster Founding the new discipline of Societal Cybernetics His work focuses on autonomous vessels with 15+ recent publications covering collision avoidance, trajectory planning, docking control, and human-machine teaming. The research integrates control systems, maritime autonomy, and urban transport optimization. Projects include: Autoteaming : Human-machine collaboration for autonomous ferry operations Kystutviklingssenter : Government-funded coastal development pilot in Kirkenes Nyhavna 5.0 : High-tech maritime cluster in Trondheim Societal Cybernetics : Modeling complex societal phenomena

Melike Erol Kantarciمشاهده پروفایل

دانشیار

• 5G and 6G Networks
• Artificial Intelligence (AI)
• Tactile Internet
• +۹ مورد دیگر

Dr. Melike Erol-Kantarci is an Associate Professor at the School of Electrical Engineering and Computer Science, University of Ottawa, and a Canada Research Chair in AI-enabled Next-Generation Wireless Networks. She founded the Networked Systems and Communications Research (NETCORE) Laboratory and holds a courtesy appointment as Assistant Professor at Clarkson University's Electrical and Computer Engineering Department. With over 6,000 citations and an h-index of 40, she contributes to IEEE as a Senior Member, chairs the Green Smart Grid Communications special interest group, and serves as Editor for IEEE Communications Letters and IEEE Access . Research Focus: 5G/6G wireless networks AI/ML-driven network optimization Smart grid communications Cyber-physical system security Edge computing and IoT Reconfigurable Intelligent Surfaces (RIS) Scientific Contributions: Her recent publications highlight generative AI integration in 6G, intent-driven network management using hierarchical reinforcement learning, physical layer security for connected vehicles, and explainable AI frameworks in communications. The 15 most recent works (2024-2025) span topics like beamforming optimization, federated learning security, UAV-assisted networks, and semantic communication systems. Leadership: As director of the NETCORE Laboratory, she leads cutting-edge research in networked systems, bridging wireless communication paradigms with energy sustainability and security requirements for next-generation networks.