جست‌وجوی استاد و پژوهشگر

Mojtaba Joodakiمشاهده پروفایل

استاد

• Nanoelectronics
• High-Frequency Engineering
• Memory Devices
• +۳ مورد دیگر

Mojtaba Joodaki is a Professor of Computer Science & Electrical Engineering at Constructor University Bremen, affiliated with the School of Computer Science & Engineering. His research focuses on nanoelectronics, bridging high-frequency engineering with nanoscale devices and materials. His work spans the development of devices for memories , sensors , energy harvesting , and communication systems . Recent publications highlight advancements in metasurfaces , electromagnetic energy harvesting , and waveguide modeling , with applications in microwave engineering and sustainable technologies. The 15 most recent articles reflect trends in metasurface design , electromagnetic compatibility , and memory device optimization . Topics include polarization-insensitive energy harvesters, GSTC modeling, and strain effects in organic solar cells. Collaborations span institutions in Germany, Iran, and beyond, with a focus on experimental validation and analytical frameworks. Prof. Joodaki earned his PhD in Electrical and Electronics Engineering from the University of Kassel (1999–2002), with a dissertation on Quasi-Monolithic Integration Technology for Microwave and mm-Wave Applications . Prior roles include professorship at Ferdowsi University of Mashhad and engineering positions at Qimonda Dresden GmbH, Infineon Technology, and ATMEL Germany GmbH.

• Telecommunications
• Wireless and Mobile Communication Systems
• 5G and Beyond Networks
• +۱۲ مورد دیگر

Américo Manuel Carapeto Correia is a Full Professor and Deputy Director at the Department of Information Science and Technology (ISTA), ISCTE – Instituto Universitário de Lisboa. He is also an Integrated Researcher at the Institute of Telecommunications - IUL, affiliated with the Radio Systems Group. His academic leadership includes serving as Director of ISTA (2010–2013, 2020), and multiple roles in academic governance such as member and Vice President of the Scientific Council. PhD in Electrical Engineering, Higher Technical Institute - UTL (1994) Master’s in Electrical and Computer Engineering, Higher Technical Institute - UTL (1990) Bachelor’s in Electrical Engineering, Faculty of Engineering - Angola (1983) Aggregation in Information Sciences and Technologies, ISCTE (2006) His research focuses on telecommunications and mobile networks, particularly 5G, LTE-Advanced, femtocells, machine-type communications, and energy-efficient network design. His work bridges theoretical innovation with practical implementation in areas like agriculture (SMARTFARM4.0), aerial surveillance (SAAS), and multimedia services (COILS, C-MOBILE). The recent articles supervised reflect a strong trend toward 5G private network planning across diverse sectors including healthcare, energy, transportation, and government. Emerging topics include Reconfigurable Intelligent Surfaces (RIS) for 6G and AI-driven robotics in healthcare, indicating forward-looking research aligned with next-generation wireless systems. He has led multiple research projects funded by national and international consortia, including: SMARTFARM4.0 (2020–2023): Smart agriculture solutions SAMEQoE (2017–2019): Quality of Experience optimization in mobile networks VELOCE-MTC (2016–2018): Low-latency machine-type communications ADIN (2013–2015): Infrastructure-less wireless networks NEUF (2012–2014): LTE-Advanced with femtocells SAAS (2012–2014): UAV control via terrestrial networks Américo Correia has advised 36 master’s students and 3 doctoral candidates, demonstrating a strong commitment to academic mentorship. He teaches core courses such as Wireless and Mobile Communication Systems, Advanced Mobile Communication Systems, and Research Methods at both master’s and PhD levels. He leads the PhD course on Management of Research Projects, emphasizing research leadership and innovation. His lab affiliations include the Radio Systems Group at IT-Iscte, a key hub for wireless systems research in Portugal.

Pengcheng Liuمشاهده پروفایل

مدرس ارشد

• Robotics
• Bio-inspired Robotics
• Soft Robotics
• +۱۴ مورد دیگر

Pengcheng Liu is an Associate Professor (Senior Lecturer) in Robotics and Applied Control at the Department of Computer Science, University of York, UK. He has previously held academic positions at Cardiff Metropolitan University, University of Lincoln, Bournemouth University, and visiting roles in China. He is a member of IEEE and IFAC, and serves on several IEEE Technical Committees related to robotics and automation. PhD in Robotics and Control MSc in Control Theory and Control Engineering BEng in Measurement Control and Instrumentation His research focuses on the convergence of robotics and biology, particularly in bio-inspired design, soft robotics, human-robot collaboration, rehabilitation, and embodied AI. He explores how biological systems can inform adaptive, resilient, and energy-efficient robotic systems. His work spans modeling animal/human motion, sensory-motor learning, morphological design, and control optimization. The 15 most recent publications reflect a strong interdisciplinary trend combining robotics, control theory, machine learning, and biomedical applications. Key themes include soft robotics, bio-inspired actuators, motion planning, rehabilitation systems, and wireless communication for robotic systems. The research integrates simulation, hardware prototyping, and intelligent control, often using ROS and Gazebo. Global Peer Review Awards — Top 1% in Cross-Field (2019) Global Peer Review Awards — Top 1% in Engineering (2019) Outstanding Associate Editor of 2020, IEEE Access Outstanding Contribution Awards, Elsevier (2017) Dr Liu has extensive experience in securing and managing research grants from EPSRC, Innovate UK, Horizon 2020, Erasmus Mundus, FP7-PEOPLE, HEIF, NHS I4I, and NSFC. He serves as a regular reviewer for around 30 journals and 8 flagship conferences in robotics, AI, and control. He is an Associate Editor for IEEE Access and Academic Editor for PeerJ Computer Science, and has contributed to special issues on computational learning for robotics. He leads research in bio-inspired robotics and advises PhD students in areas such as lifelong learning machine intelligence, soft robotics, motion planning, and cyber-physical systems. He is actively recruiting motivated PhD candidates with backgrounds in engineering, computer science, or applied mathematics.

Ondrej Franekمشاهده پروفایل

دانشیار

• Antenna Engineering
• Wireless Communication
• Electromagnetic Modeling
• +۳ مورد دیگر

Ondrej Franek is an Associate Professor at the Department of Electronic Systems within the Technical Faculty of IT and Design at Aalborg University. His work focuses on antennas, wireless propagation, millimeter-wave systems, and reconfigurable intelligent surfaces for next-generation communication networks. He is actively involved in projects like RISE-6G and VIRTUOSO, advancing 6G wireless technologies and communication system optimization. Research interests include antenna design, electromagnetic modeling, wind turbine blade technology, and signal processing for 5G/6G networks. His recent work emphasizes reconfigurable intelligent surfaces (RIS) and their application in improving channel models and network efficiency. Franek has contributed to over 100 publications and holds patents in lightning protection systems and wind turbine monitoring. He has supervised 2 PhD students and collaborated on projects funded by industry and academic partnerships. Notable contributions include electromagnetic modeling for RIS and condition monitoring systems for renewable energy infrastructure. Media highlights include coverage of his team's experiments with the Lumi supercomputer in 2021.

Joao Henrique Inacio de Souzaمشاهده پروفایل

پژوهشگر ارشد

• Wireless Communications
• Reconfigurable Intelligent Surfaces
• Signal Processing
• +۴ مورد دیگر

Joao Henrique Inacio de Souza is a Postdoctoral Researcher at the Department of Electronic Systems within the Faculty of IT and Design at Aalborg University, Denmark. Based at Fredrik Bajers Vej 7C, C1-105, 9220 Aalborg Øst, he operates under the Connectivity section with research focusing on advanced wireless communication systems. His work bridges theoretical signal processing with practical network optimization challenges in next-generation telecommunications. Research Focus: Dr. Souza specializes in temporal dynamics within wireless networks, particularly preserving simultaneity and chronology for sensing applications. His expertise spans reconfigurable intelligent surfaces (RIS), quality of service optimization in crowded XL-MIMO environments, and non-stationary channel modeling for 5G/6G systems. Key methodologies include temporal window integration techniques and multiplexing strategies for eMBB/URLLC services, addressing critical gaps in real-time wireless sensing and ultra-reliable communications. Publication Trends: His 2023-2025 output reveals a concentrated trajectory toward solving temporal coherence challenges in perceptive networks. Six publications demonstrate progressive refinement of RIS-assisted control mechanisms, with increasing emphasis on simultaneity preservation (2025) after foundational work on QoS-aware scheduling (2023). The research consistently targets 6G-enabling technologies through novel approaches to time-varying channel management and spatial multiplexing. Scientific Recognition: No formal awards or fellowships documented in current records Collaborative Framework: Active collaborations with Popovski, Soret, and Abrao indicate integration within Aalborg University's wireless research ecosystem. No student advisement or grant management details are publicly available. Research Infrastructure: Works within the Connectivity section's experimental framework for wireless temporal coherence testing, leveraging university resources for RIS prototyping and channel emulation.

• Wireless Communications
• Signal Processing
• MIMO Systems
• +۳ مورد دیگر

Xiao Cai is a Research Fellow at Aarhus University, affiliated with the Department of Electrical and Computer Engineering under the AU Engineering school. Their work focuses on cutting-edge advancements in wireless communication systems. Primary Research Areas: Wireless Communications, Signal Processing, MIMO Systems, Reconfigurable Intelligent Surfaces Recent publications highlight innovations in array pattern synthesis and channel estimation for next-generation wireless networks. Research spans both theoretical algorithm development and practical implementation challenges. Email: xiao.cai@ece.au.dk

• Simulation-Based Optimization
• Industry 4.0
• Production Engineering
• +۴ مورد دیگر

Amos H. C. Ng is a Professor at the School of Engineering Science, University of Skövde, specializing in simulation-based optimization and Industry 4.0 technologies. His research bridges production engineering with human-robot collaboration, ergonomics evaluation, and cloud-based cyber-physical systems for manufacturing efficiency. Key Affiliations: University of Skövde (School of Engineering Science), Uppsala University (Industrial Engineering and Management) Research Themes: Multi-objective optimization, Digital Twin frameworks, Human-centric production systems, Reconfigurable manufacturing, Throughput bottleneck analysis Projects: ACCURATE 4.0 (Knowledge Foundation), VF-KDO (Virtual Factories with Knowledge-Driven Optimization), EWASS (Wire Harness Assembly Optimization) His recent publications demonstrate expertise in applying evolutionary algorithms, machine learning models, and digital human modeling tools to solve complex manufacturing problems ranging from crankshaft machining to wood supply chain robustness. Current work integrates motion capture technology with DHM tools for objective ergonomic assessments in assembly stations. Amos collaborates extensively with industrial partners like Volvo Penta and academic institutions, utilizing simulation-based approaches to enhance decision-making in production systems. His methodological focus includes non-dominated sorting genetic algorithms, surrogate modeling, and parallel computing architectures for optimization tasks.

• 6G communications
• Information theory
• MIMO systems
• +۸ مورد دیگر

Giorgio Taricco is a Full Professor at the Department of Electronics and Telecommunications (DET) of Polytechnic University of Turin. His research focuses on 6G communications, information theory, and MIMO systems, with expertise spanning telecommunications, signal processing, and wireless communication. He leads the Advanced techniques for digital transmission (CommGroup) research group and has been a Scientific Responsible for multiple projects, including EU-funded MASCOT and HICCUP, and commercial contracts like JEANS and NEXT GEN DATALINK. Research Interests: 6G networks, MIMO systems, information theory, satellite communication, energy-efficient coding Notable Projects: MASCOT (2006-2009), HICCUP (2002-2003), JEANS (2022-2024), WORK ITEM 4.4 (2024-2025) His recent publications analyze secrecy energy efficiency in metasurface-aided networks, IRS-NOMA for integrated sensing, and advanced precoding techniques, reflecting trends in wireless security and next-generation communication systems. As an IEEE Fellow since 2010, he contributes to editorial boards, including Entropy (2025-). He supervises PhD students like Agbotiname Lucky Imoize and Aysegul Ilay Tunali, integrating education with cutting-edge research in telecommunications.

Constandinos Mavromoustakisمشاهده پروفایل

استاد

• Internet of Things (IoT)
• Mobile and Wearable Computing
• Wireless Communications
• +۳ مورد دیگر

Constandinos Mavromoustakis is a Professor at the Department of Computer Science, University of Nicosia (School of Sciences and Engineering). He leads the Mobile Systems Lab (MOSys Lab) and holds leadership roles in IEEE, including Vice-Chair of the Cyprus Section and Chair of the Computer Society Chapter. He actively contributes to IEEE Communications Society committees and standardization groups like IEEE-SA SCC42 WG2040. Education includes: Dipl.Eng in Electronic and Computer Engineering from Technical University of Crete MSc in Telecommunications from University College London PhD from Aristotle University of Thessaloniki His research integrates Mobile Systems, IoT, and Wireless Communications, with emphasis on: 5G/6G network security using AI-driven strategies Resource optimization in cloud-edge ecosystems UAV-assisted networks for critical infrastructure Healthcare applications via IoMT and data analytics Recent publications (2024-2025) demonstrate strong focus on securing next-gen networks (O-RAN, 6G), optimizing edge computing for VR/IoT, and advancing smart healthcare/cities. Dominant themes include Deep Reinforcement Learning, quantum-inspired optimization, and latency minimization techniques. He participates in EU-funded initiatives including FP7, H2020, Eureka, and national projects. Industrial collaborations include consultancy for Intel Corporation. He directs the MOSys Lab, which researches mobile systems, IoT interoperability, and network security, with projects spanning UAV communications, medical IoT, and sustainable computing.

• Wireless Communication Engineering
• Artificial Intelligence
• Neural Network
• +۵ مورد دیگر

Benaoumeur Senouci is an Associate Professor at the Institute of Mechanical and Electrical Engineering, University of Southern Denmark (SDU). His research spans interdisciplinary domains including wireless communication, artificial intelligence, and embedded systems. Research Focus: Wireless Communication Engineering, Neural Networks, and Edge Computing Key Collaborations: Active partnerships in 6G wireless systems, autonomous vehicle efficiency, and precision agriculture technologies Recent work highlights machine learning applications in fuel consumption estimation (2025), hybrid beamforming for 6G networks (2025), FPGA-based neural network prototyping (2024), and smart agriculture control systems (2024). Research outputs demonstrate strong integration of AI techniques with mechanical/electrical engineering challenges.

• Wireless Communications
• Signal Processing
• Embedded Systems
• +۴ مورد دیگر

Ali Dziri is a permanent researcher at CentraleSupélec's Cedric Laboratory , focusing on wireless communications, signal processing, and embedded systems. His work spans 2004–2023 with key contributions in UWB communication, IoT networks, video/image transmission, and real-time tracking algorithms. His research interests include: Wireless Communications Signal Processing Embedded Systems Machine Learning IoT Networks Video/Image Compression Recent publications highlight trends in neural networks for channel equalization, MIMO relays for WSNs, and 5G D2D communication protocols. He has no listed scientific awards or advisees.

• Wireless Communication
• Energy Efficiency
• Reconfigurable Intelligent Surfaces (RIS)
• +۳ مورد دیگر

Anders Enqvist is a doctoral student at KTH Royal Institute of Technology in the Department of Communication Systems. His research focuses on energy-efficient wireless networks, particularly leveraging Intelligent Reconfigurable Surfaces (RIS) to optimize transmission efficiency. PhD Candidate, KTH Royal Institute of Technology (Current) Master of Science in Electrical Engineering, KTH His research interests span Wireless Communication , Energy Efficiency , RIS Deployment , and Radio Network Optimization . He investigates how dynamic surfaces can reshape wireless environments for sustainable connectivity. Recent publications highlight trends in RIS for short-packet transmission , bit-rate optimization , and physical layer algorithms . His work bridges theoretical modeling (e.g., scaling behaviors) with practical deployments. Anders serves as an assistant for courses such as Degree Project in Computer Science (DA240X, II142X) and Radio Networks (IK2510) , contributing to software engineering and wireless network education. He is based in Kista, Sweden, and can be contacted at enqv@kth.se .

• Antenna Design
• Electromagnetics
• Terahertz Technology
• +۳ مورد دیگر

Mingzheng Chen is a Post-Doctoral Researcher at KTH Royal Institute of Technology's Division of Electromagnetic Engineering and Fusion Science, specializing in advanced antenna systems and waveguide technologies for terahertz and millimeter-wave applications. His research program centers on three interconnected pillars: quasi-optical structures for beamforming, periodic electromagnetic structures (particularly glide-symmetric holey configurations), and additive manufacturing of metal RF components. This focus enables lightweight, low-cost solutions for satellite communications and next-generation wireless systems, with experimental validation forming a critical component of his methodology. Analysis of his 15 most recent publications reveals dominant themes in W-band and sub-THz antenna design (7 papers), additive manufacturing techniques (6 papers), and waveguide physics (5 papers), demonstrating consistent innovation in geodesic horn antennas and glide-symmetric structures across both journal and conference venues. Award recognition includes: 2023 Best Paper Award from National Science Review Best Paper Award at MTTW 2023 As an active educator, he serves as Teaching Assistant for Applied Antenna Theory (EI2400) while maintaining prolific output (50+ publications). His collaborative network spans European institutions, with particular emphasis on experimental validation of theoretical models. Current research leverages KTH's advanced manufacturing facilities for metal-only RF component development, targeting applications in geostationary satellite communications and 6G infrastructure.

Aijun Songمشاهده پروفایل

دانشیار

• Underwater Acoustic Communications
• Signal Processing
• Robotics
• +۵ مورد دیگر

Dr. Aijun Song is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Alabama College of Engineering. He is affiliated with the Center for Water Quality Research and the Alabama Water Institute. His work bridges engineering, environmental science, and technology, with a focus on developing innovative underwater communication systems and autonomous vehicle technologies for water monitoring applications. Dr. Song's educational background includes: Ph.D. in Electrical and Computer Engineering from University of Delaware M.S. in Electrical and Computer Engineering from Xidian University, Xi'an, China B.S. in Electrical and Computer Engineering from Xidian University, Xi'an, China Dr. Song's research primarily focuses on underwater acoustic communications, signal processing, and autonomous vehicle technologies. His work addresses challenges in underwater wireless communications including channel modeling, equalization techniques, and full-duplex communication systems. He has made significant contributions to the development of underwater sensor networks, acoustic transceivers, and communication protocols for autonomous underwater vehicles. His research has important applications in environmental monitoring, ocean exploration, and water quality assessment. Dr. Song's recent publications demonstrate a strong trend toward practical implementations of underwater communication technologies, with increasing emphasis on reconfigurable intelligent surfaces, energy-efficient systems, and real-world testbed validation. His work spans theoretical development, simulation, and extensive field testing in lake and river environments. The research addresses critical challenges in underwater communication including channel variability, interference cancellation, and long-range transmission. Dr. Song has received notable recognition for his work: NSF CAREER Award from the National Science Foundation (2021) Outstanding Faculty/Staff-Initiated Engagement Effort by the Council on Community-Based Partnerships at the University of Alabama (2019) Outstanding Service Award from the 8th ACM International Conference on Underwater Networks & Systems (2013) Dr. Song actively mentors students and collaborates on interdisciplinary research projects. He serves as co-principal investigator for the USGS FLOW Academy, working with Dr. Lisa Davis and Dr. Steven Burian to provide hands-on water science education. His leadership in the Tuscaloosa MATHCOUNTS program has significantly impacted local STEM education, particularly for underserved populations and female students. Dr. Song's research has been supported by significant funding including an NSF CAREER award and collaborations with the US Geological Survey. Dr. Song leads a research team focused on underwater robotics and wireless communication technologies. His lab develops and tests autonomous underwater vehicles including JaiaBots and EcoMapper systems. The team is advancing underwater swarming technologies to enhance water monitoring capabilities, with an emphasis on creating open-source, low-cost solutions for automated water data collection and rapid flood disaster response. Recent field demonstrations at the Black Warrior River and Lake Tuscaloosa showcase the practical applications of his research.

• Wireless Security and Privacy
• Artificial Intelligence for Wireless Networks
• Performance Analysis
• +۳ مورد دیگر

Dr. Cheng Yin is a Lecturer in Computing Science at Ulster University's School of Computing, based at the Belfast campus (Room BB-02-010, 2-24 York Street). She specializes in wireless communications and security, with research encompassing AI-driven network optimization, reconfigurable intelligent surfaces (RIS), and UAV-assisted systems. Her work bridges theoretical models and practical implementations in 5G/6G networks. Education: PhD from Queen's University Belfast (2016-2019), focusing on Physical Layer Security for Wireless Networks under Unreliable Backhaul Connections . Research Focus: Wireless Security & Privacy: Developing anti-eavesdropping techniques and secure backhaul solutions. AI for Networks: Machine learning applications in resource allocation and signal optimization. Reconfigurable Intelligent Surfaces: Enhancing IoT medical devices and UAV communication reliability. Semantic Communication: Efficiency improvements in next-generation networks. Publications: Her recent work (2021-2025) emphasizes AI-enhanced security, RIS applications in healthcare IoT, and robust resource allocation for UAV networks, reflecting interdisciplinary collaboration across computing, engineering, and biomedical fields. Awards: Best Student Paper Award at INISCOM'19 (2019) Projects & Activities: Leads the 'Resource Management for 6G Internet-of-Vehicles Networks' project (2024-2025). Active in peer review (IEEE journals), invited talks (e.g., Dronetastic Workshop), and promotes women in engineering. Recognized as a Fellow of the Higher Education Academy (FHEA).