جست‌وجوی استاد و پژوهشگر

Stavrakakis Ioannisمشاهده پروفایل

استاد

• Networking
• Wireless Communication
• Distributed Systems
• +۵ مورد دیگر

Stavrakakis Ioannis is a Professor at the Department of Informatics and Telecommunications, School of Science, University of Athens, where he has served since 2002. He previously held academic positions at Northeastern University (1994-1999) and University of Vermont (1988-1994). Ph.D., Electrical Engineering (1988), University of Virginia Diploma, Electrical Engineering (1983), Aristotle University of Thessaloniki His research focuses on network resource allocation algorithms , cooperative content dissemination , mobile ad hoc networks , and privacy-aware protocols . He leads the Advanced Networking Research (ANR) Group. Recent publications highlight trends in AI-driven network optimization , edge computing for VR , drone-assisted sensor networks , and privacy in vehicular systems . Key themes include game theory applications, energy-efficient protocols, and distributed learning frameworks. Contact: ioannis@di.uoa.gr

Bletsas Aggelosمشاهده پروفایل

استاد

• Wireless Transmission
• Wireless Relay Networks
• Software-Defined Radio
• +۳ مورد دیگر

Aggelos Bletsas is a Professor at the School of Electrical and Computer Engineering, Technical University of Crete. He holds a PhD from MIT (2005) and has expertise in wireless communication, backscatter networks, and RFID systems. His research focuses on scalable wireless networks, ultra-low-cost sensor technologies, and signal processing. Education: PhD, MIT Media Lab (2005) MSc, MIT Media Lab (2001) Diploma in Electrical & Computer Engineering, Aristotle University of Thessaloniki (1998) Research Interests: His work spans wireless transmission techniques, backscatter sensor networks, and RFID systems. Key areas include: Ultra-low-cost sensor deployment RFID localization and multi-static systems Energy-efficient hardware implementations Probabilistic inference in distributed networks Awards: IEEE Marconi Prize Paper Award (2008) Technical University of Crete Research Excellence Award (2012-2013) Multiple best paper awards at RFID-TA, ISWCS, and SENSORS Academic Contributions: He advises students who have won IEEE best thesis awards and leads projects funded by ERC grants. His laboratory focuses on practical implementations of wireless sensor networks and backscatter systems. Labs & Affiliations: Director of the Telecommunications Laboratory and affiliated with the Telecommunication Systems Institute (TSI).

Benoit Champagneمشاهده پروفایل

استاد

• Statistical Signal Processing
• Multi-antenna Processing
• Signal Detection and Estimation
• +۹ مورد دیگر

Benoit Champagne is a Full Professor in the Department of Electrical and Computer Engineering at McGill University, Montreal. His research focuses on statistical signal processing, with applications in wireless communications, multi-antenna systems, and adaptive filtering. He has held academic positions since 1990, including roles at INRS-Telecom before joining McGill in 1999. He teaches graduate and undergraduate courses such as ECSE 305 (Probability and Random Signals), ECSE 512 (Digital Signal Processing), and ECSE 617 (Array Signal Processing). Education: B.Eng. (Electrical Engineering) and M.Sc. (Physics) from Université de Montréal (1983, 1985), Ph.D. in Electrical Engineering from University of Toronto (1990). His research spans signal detection/estimation, speech enhancement, MIMO systems, and physical layer security, with over 150+ publications in top journals and conferences. He has supervised numerous graduate students and holds grants from NSERC, CFI, and industry partners like Nortel and Bell Canada. His work emphasizes practical implementations, including hybrid analog/digital beamforming for mmWave systems and energy-efficient resource allocation in D2D communications. He has contributed to IEEE standards through editorial roles (e.g., IEEE Transactions on Signal Processing) and conference organization (e.g., IEEE VTC 2016). Current research explores machine learning integration with signal processing for next-generation wireless systems. Notable contributions include advancements in subspace tracking, cognitive radar systems, and distributed adaptive filtering. His lab collaborates internationally, addressing challenges in 5G/6G networks, massive MIMO, and secure communications.

Alexis Dowhuszkoمشاهده پروفایل

پژوهشگر

• Visible Light Communication
• Wireless Communications
• 6G Networks
• +۶ مورد دیگر

Alexis Dowhuszko is a Researcher in the Department of Information and Communications Engineering at Aalto University, Espoo, Finland. Current research focuses on 6G networks, optical wireless communications, and mobile network optimization through active participation in EU-funded projects including FOCAL (as Principal Investigator), 6G-LEADER, 6GARROW, Cloudify-6G, and WALLPAPER. Educational background: Doctor of Engineering Sciences, Argentine university, 2010 Research expertise spans Visible Light Communication, 6G Networks, and Internet of Things, addressing critical challenges in Quality of Service, Integrated Access and Backhaul, and mmWave communications for urban environments. Work contributes to UN Sustainable Development Goals through sustainable wireless technology development. 2025 publications reveal strong trends in optical wireless integration for backhauling, AI-driven network optimization, and QoE-centric resource management. Key themes include IAB relaying strategies, experimental VLC implementations, and performance evaluation in dense urban deployments across next-generation mobile networks. Dowhuszko has supervised 4 theses and leads multiple research initiatives: FOCAL: Free-space Optical Communications for 6G Aerial-satellite networks (2024-2028) 6G-LEADER: LEArning-Driven and Evolved Radio for 6G Communication Systems (2025-2027) 6GARROW: 6G Ai-native integRated Ran-cOre netWorks (2025-2027) Cloudify-6G: 6G Data-driven Distributed Cloud and Communication System (2023-2026) WALLPAPER: Intelligent wallpaper for sustainable wireless systems (2023-2025) As a core member of the Risto Wichman Group, Dowhuszko collaborates on cutting-edge 6G research and contributes to media-featured projects including LED-based indoor navigation systems and personal radar development.

Daniel Romeroمشاهده پروفایل

استاد

• UAV Communications
• Wireless Communications
• Time-Series Analysis
• +۵ مورد دیگر

**Daniel Romero** is a **Professor** in the **Department of Information and Communication Technology** at the **University of Agder**, Norway. His research focuses on UAV communications, time-series analysis using machine learning and network science, and decentralized processing for sensor networks. He holds a Ph.D. in Signal Theory and Communications from the University of Vigo (2015), an M.Sc. in Signal Theory (2011), and a Telecommunication Engineering degree (2009). **Education**: Ph.D. in Signal Theory and Communications, University of Vigo (2015) M.Sc. in Signal Theory and Communications, University of Vigo (2011) Telecommunication Engineering, University of Vigo (2009) **Research Interests**: His work spans UAV communication systems (focusing on low-latency, high-reliability networks), time-series analysis for complex systems (using ML and network science), and decentralized computation in sensor networks to improve robustness and hardware efficiency. Recent projects include radio map estimation for mmWave beam alignment, spoofing detection via graph neural networks, and aerial base station placement optimization. **Publications**: Over 30+ peer-reviewed articles in top venues like IEEE Transactions on Wireless Communications and ICC. Recent trends emphasize radio map estimation (2023–2024), UAV-enabled spectrum surveying (2022), and robust D2D communications (2022). **Advising & Grants**: Teaches PhD courses (Statistical Signal Processing, Advanced Optimization) and leads the **Advanced Signal Processing Lab (ASL)**. Collaborates with the **CIEM (Center for Integrated Emergency Management)** on crisis-related communication systems. **Labs/Teams**: Directs the Advanced Signal Processing Lab (ASL.uia.no) and contributes to CIEM, applying ML and signal processing to emergency management challenges.

Zoran Gajicمشاهده پروفایل

استاد

• Control Systems
• Energy Systems
• Wireless Communications
• +۴ مورد دیگر

Zoran Gajic is a Professor of Electrical and Computer Engineering at Rutgers University, where he has taught since 1984. He holds academic leadership roles including Graduate Program Director for the Electrical and Computer Engineering Department and President of the Rutgers AAUP-AFT Faculty Union. His expertise spans controls systems, energy systems (including solar, wind, and smart grids), wireless communications, and networking. Education: B.S. and M.S. in Electrical Engineering from University of Belgrade, followed by M.S. in Applied Mathematics and Ph.D. in Systems Science Engineering from Michigan State University (1984). Research focuses on control theory applications for energy systems and communication networks. He has authored/coauthored nearly 100 journal papers and eight books, including best-selling titles like Linear Dynamic Systems and Signals (translated into Chinese) and Lyapunov Matrix Equation in Systems Stability and Control (republished by Dover). His work includes innovations in multirate control systems, singular perturbation methods, and reinforcement learning applications. Professional recognitions include editorial roles across nine journals, five guest-edited special issues, and plenary lectures at international conferences. Ten of his 17 Ph.D. advisees hold faculty positions globally. Beyond academia, he is a chess master with Life Master ranking from the U.S. Chess Federation and World Chess Federation certification. Key contributions include foundational work on optimal control for renewable energy systems, sliding mode control algorithms, and system decomposition techniques. His research has been supported by NSF and industry partners like AT&T Bell Labs. He leads the Rutgers Center for Systems and Controls (SYCON) as Associate Director and actively contributes to standards through IEEE and IEC initiatives, particularly in power system protection and control system reliability.

Hyuck M. Kwonمشاهده پروفایل

استاد

• Wireless Mobile Communications
• Communication Systems
• Information Theory
• +۶ مورد دیگر

Hyuck M. Kwon is a Full Professor of Electrical and Computer Engineering at Wichita State University (WSU), part of the College of Engineering. His research focuses on wireless communications, including satellite systems, smart antennas, MIMO, and CDMA. He has held academic appointments since 1985, including visiting roles at institutions like KAIST and George Mason University. Kwon has supervised numerous PhD and MS students and has been recognized with prestigious awards, including the Dwane and Velma Wallace Outstanding Educator Award. His work spans over 100 publications and grants from agencies like the Air Force and NASA. He has developed courses such as '5G Wireless Communications' and 'Information Theory'. Education: Ph.D. in Computer, Information and Control Engineering, University of Michigan (1984) MSEE, Seoul National University (1980) BSEE, Seoul National University (1978) Research Interests: Wireless communications and networks Smart antennas and MIMO systems 5G/6G technologies Signal processing for communications Anti-jamming and secure communications Grants and Awards: Over $2M in research funding from the Air Force, NASA, and industry partners Awarded multiple Air Force Summer Faculty Fellowships (2014–2016) Nominated for NAI Fellow (2017) Lab/Teams: Active in developing advanced communication systems, including satellite digital beamforming and nano-antenna research with metamaterials.

Diala Naboulsiمشاهده پروفایل

استاد

• Mobile networks
• Wireless networks
• Network virtualization
• +۷ مورد دیگر

Diala Naboulsi is a Professor at the École de technologie supérieure (ÉTS) in the Department of Software Engineering and IT. Her research focuses on mobile networks, wireless systems, and cybersecurity, with a strong emphasis on machine learning applications in network optimization. She holds an M.Eng. from the Lebanese University and M.Sc. and Ph.D. degrees from INSA Lyon. Research Units: Summit Tech Research Chair, LASI Lab, Imagin Lab Expertise: Network virtualization, resource allocation, mobility management, UAV-based computing Her work spans resilience in wireless backhaul networks, energy-efficient frameworks in RAN slicing, and federated learning for privacy-aware traffic forecasting. She has advised numerous doctoral students, including Ahmed Abdelmoaty, Hnin Pann Phyu, and Philippe Lavoie. Key contributions include deep reinforcement learning approaches for network topology optimization and UAV-assisted MEC systems for Industry 5.0. Recent publications highlight advancements in 6G networks, network slicing, and edge computing. Her research aligns with strategic initiatives in sustainable and secure communication systems.

• Mathematical Data Science
• Machine Learning
• Compressed Sensing
• +۵ مورد دیگر

Johannes Maly is an Assistant Professor at the Bavarian AI Chair for Mathematical Foundations of Artificial Intelligence at LMU Munich. He previously held postdoctoral positions at Catholic University of Eichstaett-Ingolstadt and RWTH Aachen University, and completed his PhD at TUM Munich under Prof. Massimo Fornasier. PhD in Mathematics (2019, TUM Munich) M.Sc. in Mathematics (2015, TUM Munich) B.Sc. in Mathematics (2013, TUM Munich) His research focuses on mathematical data science and machine learning, specifically addressing: Robust covariance estimation under quantization Neural network approximation properties Implicit bias in gradient descent training Multi-structured signal recovery Quantization effects in deep learning and compressed sensing His recent publications analyze dithered quantization in covariance estimation, implicit regularization in overparameterized models, and multi-structured data recovery. He applies mathematical rigor to practical challenges in wireless communications (e.g., MIMO systems) and neural network training. Scientific recognition includes: relAI Fellow MCML Associate He supervises code/toolbox development for reproducibility and teaches graduate courses in convex optimization, high-dimensional probability, and mathematical data science. His work bridges theoretical mathematics and applied signal processing.

• Wireless Sensor Networks
• Next-Generation Computer Networks
• Wireless Mesh Networks
• +۵ مورد دیگر

Professor Cormac J. Sreenan is a full professor in Computer Science at University College Cork (UCC), leading the Mobile & Internet Systems Lab (MISL) since 1999. He previously served as Head of School (2019-2021) and Head of Department (2015-2018 and 2000-2004). His research focuses on wireless sensor networks, multimedia networking, IoT, and adaptive video streaming. He has published over 200 peer-reviewed papers and holds 9 patents. He is a Science Foundation Ireland Principal Investigator and a Fellow of both the British Computer Society (2005) and the Irish Academy of Engineering (2022). Education: PhD from the University of Cambridge Computer Laboratory Member of Christ's College, Cambridge Research Interests: Wireless sensor networks and fault-tolerant designs Next-generation computer networks and IoT infrastructure Adaptive video streaming and QoE optimization Network security and technology transfer Grants & Collaborations: Principal Investigator on SFI grants including the €1M ENABLE project Collaborations with Irish companies and international agencies Experience in technical due diligence and expert witness roles Labs & Teams: Directs the Mobile & Internet Systems Lab (MISL), a multidisciplinary research group focused on mobile and multimedia network systems.

• Large Antenna Array-Based Communications
• Wireless Propagation
• Vehicular Communications
• +۱ مورد دیگر

Liqin Ding is a Research Fellow at the Department of Electrical Engineering at Chalmers University of Technology . She holds a Marie Skłodowska-Curie Fellowship and is actively involved in EU-funded projects like VoiiComm and Hi-Drive , focusing on vehicular communication systems and cellular positioning integrity. Previously, she was a postdoctoral researcher at Harbin Institute of Technology (Shenzhen) and a visiting researcher at Chalmers before transitioning to her current MSCA-IF position. Research Interests : Her work spans large antenna array-based communication , wireless propagation , vehicular networks , and cellular positioning . Key themes include 5G/6G protocols , channel modeling , and information theory for automated transportation systems. She specializes in Massive MIMO , DFT spreading , and integrity monitoring to enhance network reliability. Scientific Contributions : Recent publications address challenges in PAPR reduction for IoT, 3D antenna array bandwidth , UAV swarm communication , and Bayesian positioning algorithms . Her work bridges theoretical models (e.g., Shannon capacity) with practical applications in automotive connectivity and spaceborne antennas . Awards and Grants : European Union's H2020-MSCA-IF-2019 fellowship for VoiiComm project Funding from the European Commission (EC) for mobility research

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۵ مورد دیگر

Dr. Kit Yan Chan is a Senior Lecturer at the School of Electrical Engineering, Computing and Mathematical Sciences (EECMS) at Curtin University. His research focuses on Artificial Intelligence, Machine Learning, Deep Learning, and Optimization, with applications in wireless communications, signal processing, and power systems. He has held editorial roles in journals such as Neurocomputing, Sensors, and the International Journal of Ad Hoc and Ubiquitous Computing. His teaching spans courses like Transmission and Interface Design, Advanced Research in AI, and Mobile Cloud Computing. Dr. Chan's work emphasizes interdisciplinary approaches, combining computational intelligence with engineering challenges. He has contributed to over 100 publications in areas such as resource allocation in heterogeneous networks, deep learning for load forecasting, and underwater acoustic communication systems. His research bridges theoretical advancements and practical implementations, addressing real-world problems in telecommunications, energy systems, and smart technologies. His recent projects include optimizing energy efficiency in 5G networks, developing robust power control strategies, and advancing neural network architectures for real-time applications. Collaborations with industry and global institutions underscore his commitment to impactful research.

• Wireless transmission
• Wireless relay networks
• Software-defined radio
• +۷ مورد دیگر

Aggelos Bletsas Aggelos Bletsas is a Professor at the School of Electrical and Computer Engineering (ECE) at the Technical University of Crete (TUC). He holds a PhD from MIT and has expertise in wireless communication, backscatter radio, and IoT. His research focuses on ultra-low-cost sensor networks and ambiently-powered systems. Education PhD in Media Arts and Sciences, MIT (2005) MSc in Media Arts and Sciences, MIT (2001) 5-year Diploma in Electrical & Computer Engineering, Aristotle University of Thessaloniki (1998) Research Interests Bletsas' work spans scalable wireless networks, backscatter radio, RFID systems, and energy harvesting. He pioneers batteryless IoT devices and environmental sensing technologies. His lab develops hardware and algorithms for low-cost, long-range communication. Awards & Recognition IEEE Fellow (2023) 2012-2013 TUC Research Excellence Award Multiple Best Paper Awards (ISWCS, RFID-TA, SENSORS) IEEE ComSoc and RFID Council Distinguished Lecturer (2022-2025) Labs & Projects Bletsas leads the Telecommunications Laboratory at TUC, focusing on batteryless sensors, scatter radio, and robotic inventory systems. Key projects include 'Internet of Plants' and ambiently-powered inference networks.

Pouyan Ahmadiمشاهده پروفایل

دانشیار

• Wireless Networks
• Machine Learning
• IoT Security
• +۵ مورد دیگر

Pouyan Ahmadi is an Associate Professor in the Department of Information Sciences and Technology at George Mason University. His research focuses on wireless networks, IoT security, machine learning, and education technology. He holds a PhD in Electrical and Computer Engineering (George Mason University), MS in Architecture of Computer Systems (Iran University of Science and Technology), and BS in Computer Engineering (Azad University). Research interests include cooperative communications, cross-layer network design, relay deployment strategies, and applying machine learning to network security and educational analytics. Notable areas of expertise involve IoT intrusion detection, supply chain RFID implementations, and analyzing student performance through LMS data. His publications span cybersecurity, machine learning applications in education, and wireless network optimization. Recent work emphasizes predictive modeling for student outcomes and improving intrusion detection systems using advanced algorithms. He has contributed to both theoretical frameworks and practical implementations in MANETs and emergency response networks. Labs/Teams: No specific lab/team affiliations explicitly mentioned in the provided information.

Rajendra Prasad Siriginaمشاهده پروفایل

مدرس

• Artificial Intelligence
• Wireless Networks
• Health Diagnostics
• +۱ مورد دیگر

Rajendra Prasad Sirigina is a Lecturer in the Department of Computer Science at the National University of Singapore. He holds a Ph.D. from Nanyang Technological University, Singapore (2015), an M.Tech from Indian Institute of Technology Guwahati, India (2007), and a B.Tech from GRIET, JNTU Hyderabad, India (2002). His research focuses on applying artificial intelligence to wireless networks and health diagnostics. Ph.D., Nanyang Technological University, Singapore (2015) M.Tech, Indian Institute of Technology Guwahati, India (2007) B.Tech, GRIET, JNTU Hyderabad, India (2002) His work bridges Artificial Intelligence with Wireless Communication and Health Diagnostics , emphasizing robust feature selection, signal classification, and interference management in UAV and satellite systems. Recent research includes NOMA-aided communications , hybrid-duplex architectures , and deep learning for signal processing . The 15 most recent publications highlight advancements in UAV communication systems , NOMA , hybrid-duplex technologies , and satellite network design . Key trends include optimizing spectrum efficiency, mitigating interference in aerial-ground networks, and enhancing signal reliability through machine learning and outage probability analysis.