جستجوی استاد راهنمای دانشگاهی

Dong Chen is an Associate Professor in the Department of Computer Science at the Colorado School of Mines. His research focuses on building data-driven experimental systems in Cyber-Physical Systems (CPS), IoT, Embedded AI, and Embodied AI, with applications in smart devices, homes, cities, and renewable energy systems. He leads the Next Generation Cyber-Physical Systems Laboratory (CPSLab), emphasizing open-source systems and datasets. Dr. Chen holds PhDs in Electrical and Computer Engineering (2018, University of Massachusetts Amherst) and Computer Science (2014, Northeastern University). His work addresses security, privacy, sustainability, and efficiency in smart environments. Notable contributions include SolarFinder, SolarTrader, PrivacyGuard, and VoiceAttack, which tackle challenges in IoT privacy, energy trading, and adversarial attacks. He received the NSF CAREER Award (2023) and is a member of Sigma Xi, ACM, AAAI, and IEEE. His research spans system design, AI applications, and cross-cutting domains like solar energy modeling and edge computing. Current projects include AgileDART (edge stream processing) and SolarDetector (satellite-based PV array identification). Advising and collaborations: Dr. Chen seeks PhD and undergraduate students with strong CS/EE backgrounds. His lab focuses on CPS/IoT security, energy systems, and AI-driven solutions. He has published extensively on topics ranging from smart grid optimization to adversarial machine learning.

• Cyber-Physical Systems (CPS)
• Internet of Things (IoT)
• Embedded AI
• +۵ مورد دیگر

George Alexandropoulos is an Associate Professor at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens. His research focuses on telecommunications, signal processing, and reconfigurable intelligent surfaces (RIS) for next-generation wireless networks. He has contributed to advancements in integrated sensing and communications (ISAC), 6G technologies, and holographic beamforming. His work includes experimental validation of RIS prototypes, optimization of RIS-assisted systems, and analysis of secure communication strategies. Research interests include RIS hardware design, channel modeling, and applications in IoT, UAV communications, and disaster recovery networks. He explores topics like energy-efficient RIS operation, multi-RIS coordination, and RIS-enabled localization. His studies often address challenges at sub-THz frequencies, mutual coupling effects, and hardware impairments. Publications emphasize practical implementations of RIS in both indoor and outdoor settings, with a focus on real-world performance evaluation. Awards and grants are not explicitly mentioned, but his extensive publication record indicates significant academic contributions. His research often integrates machine learning for RIS configuration and reinforcement learning for resource optimization in dynamic networks.

• Telecommunications
• Signal Processing
• Wireless Communications
• +۴ مورد دیگر

Prof. Liam Barry is a Professor in the School of Electronic Engineering at Dublin City University (DCU), where he also serves as Director of the Radio and Optical Communications Laboratory. He holds a PhD from the University of Rennes, France, and has held research and academic roles at institutions including France Telecom’s Orange Labs and Auckland University, New Zealand. His expertise spans optical communications, signal processing, and optoelectronics. Key roles include ECOC 2019 Co-Chair and SFI Principal Investigator. He has published over 600 articles, holds 10 patents, and supervised 37 graduate students. Education: BE (Electronic Engineering) – University College Dublin (1991) MEngSc (Optical Communications) – University College Dublin (1993) PhD – University of Rennes, France (1996) Research Interests: All-optical signal processing Optical pulse generation and characterization Hybrid radio/fibre communication systems Wavelength-tunable lasers for reconfigurable networks Optical performance monitoring Optical frequency combs Funding & Awards: €20M Irish Photonic Integration Centre (IPIC) SFI Programme (2013–2025) Member of Royal Irish Academy (2019) Irish Research Council Board Member (2019) Over €70M in research grants secured across 60+ projects Labs & Teams: Director of the Radio and Optical Communications Laboratory, part of The Rince Institute (2006–2010). Collaborates with industry partners like Tyndall Institute, Eblana Photonics, and ESA. Grants & Contributions: Lead on projects like OPTICOMB, BIGPIPES, and TOPCAT Co-Chair of ECOC 2019

• All-Optical Signal Processing
• Optical Pulse Generation and Characterization
• Hybrid Radio/Fibre Communication Systems
• +۵ مورد دیگر

Dr. Andrew Yang is an Associate Professor of Computer Science and Computer Information Systems at the University of Houston-Clear Lake's College of Science and Engineering. His research focuses on computer security, wireless and mobile computing, networking, performance measurement, and cybersecurity education. His publications demonstrate a consistent focus on cybersecurity challenges, educational frameworks, and emerging technologies. Recent work explores AI ethics, IoT security, blockchain applications, and cybersecurity workforce development, reflecting a pattern of addressing contemporary technological vulnerabilities through both technical solutions and pedagogical approaches.

• Computer Security
• Wireless and Mobile Computing
• Networking
• +۲ مورد دیگر

Travis Mayberry is an Assistant Professor in the Cyber Security department at the United States Naval Academy. His research focuses on cryptographic protocols, cloud security, privacy-preserving technologies, homomorphic encryption, and secure voting systems. He holds a PhD in Computer Science from Northeastern University, with a dissertation on practical Oblivious RAM (ORAM) protocols for private data outsourcing. He also contributed to the Scantegrity project at the University of Maryland, Baltimore County, developing end-to-end verifiable voting systems. Key areas of research include privacy in mobile devices, secure communication protocols, and cryptographic mechanisms for data protection. His work has been published in top venues like Privacy Enhancing Technologies Symposium (PETS), Network and Distributed Systems Security Symposium (NDSS), and ACM Computer and Communications Security (CCS). He received a Distinguished Paper Award in 2014 for his research on combining ORAM and PIR for efficient private file retrieval. Mayberry’s publications analyze vulnerabilities in Bluetooth Low Energy protocols, TLS client authentication tracking, and MAC address randomization in mobile devices. He has collaborated extensively on secure voting systems (e.g., Scantegrity) and practical ORAM implementations like ObliviSync and rORAM. His contributions bridge theoretical cryptography with real-world applications in privacy and security.

• Cryptographic Protocols
• Cloud Security and Privacy
• Homomorphic Encryption
• +۳ مورد دیگر

Dr. Chao Shu is a Lecturer (Assistant Professor) in the School of Electronic Engineering and Computer Science at Queen Mary University of London (QMUL). He holds a PhD in Electronic Engineering from QMUL (2021) and has prior industry experience as an R&D software engineer and division manager. His research focuses on machine-learning-aided antenna/circuit design, data-driven education, and AI-enabled personalized learning. He has authored/co-authored over 20 journal/conference papers, a book chapter, and 13 patents. He currently co-leads the Data Analytics Scholarship working group in his school and teaches modules such as Data Design, Digital Circuit Design, and Control Theory. Research & Awards : Dr. Shu secured a £960,000 grant (2023–2025) for a wireless power transmission project. His work has earned a Best Conference Paper Award at IEEE TALE 2023. He reviews for journals like IEEE Transactions on Antennas and Propagation and serves on conference committees, including IEEE EDUCON 2023. Teaching : He organizes modules covering data analytics, digital circuits, communication systems, and microprocessor design. His courses emphasize practical skills in Python, embedded systems, and control theory.

• Machine-learning-aided Antenna/Circuit Design
• Data-Driven Education
• Learner Engagement Analytics
• +۳ مورد دیگر

Dr. Paul A. Potier is Professor of the Practice in the Department of Marine Engineering Technology at Texas A&M University. He earned his PhD in Electrical Engineering from Prairie View A&M University (2012), MS from University of Texas at Austin (1987), and BS from Lamar University (1981). He holds PMP certification. His research explores wireless communications and network management, particularly cognitive radio ad hoc networks, spectrum management, and anomaly detection in wireless systems. His technical interests originated from audio electronics and expanded to communications, computing, and robotics. Dr. Potier teaches courses covering marine engineering fundamentals, electrical power systems, marine electronics, engineering economics, and capstone projects. His professional experience includes leadership roles at Austin Community College, Motorola, Exxon, and IBM.

• Electrical Engineering
• Cognitive Radio Networks
• Network Management
• +۲ مورد دیگر

Dr. Sheldon Williamson is a Professor and NSERC Canada Research Chair in Electric Energy Storage Systems for Transportation Electrification at Ontario Tech University's Department of Electrical, Computer and Software Engineering, Faculty of Engineering and Applied Science. His research focuses on advanced energy storage technologies, power electronics, and their integration into transportation systems and smart grids. Education: Ph.D. (Electrical Engineering, Illinois Institute of Technology, 2006), M.S. (Electrical Engineering, Illinois Institute of Technology, 2002), B.E. (Electrical Engineering, University of Mumbai, 1999). Research Interests - Electric Energy Storage Systems for Transportation Electrification - Battery Management Systems (BMS) and Thermal Safety - Wireless Power Transfer and Charging Infrastructure - Cyber-Physical Security in EV Systems - Smart Grid Integration of Renewable Energy Publications : Over 50 peer-reviewed articles from 2021–2025, focusing on battery technologies, power electronics, and electrification challenges. Key themes include solid-state batteries, cloud-based BMS architectures, and dynamic wireless charging systems. No scientific awards explicitly listed in provided texts. Active in academic leadership and curriculum development within the department.

• Electric Energy Storage Systems
• Power Electronics
• Transportation Electrification
• +۴ مورد دیگر

Dr. Dongmei Zhao is a Professor in the Department of Electrical & Computer Engineering at McMaster University, part of the Faculty of Engineering. She specializes in wireless networking, network resource management, mobile edge computing, mobile computation offloading, and digital twins. Her research clusters focus on Digital & Smart Systems. Dr. Zhao holds a Ph.D. from the University of Waterloo. She teaches courses such as COMPENG 4DK4 (Computer Communication Networks), COMPENG 4DN4 (Advanced Internet Communications), and graduate-level courses like ECE 729 (Resource Management in Wireless Networks). Her research interests span cutting-edge topics including UAV-enabled edge computing, digital twin migration, vehicular networks, and reinforcement learning applications in resource allocation. She actively contributes to advancing 6G networks, security redundancy in autonomous systems, and decentralized manufacturing platforms. Dr. Zhao's recent publications emphasize optimization techniques for dynamic networks, platooning systems, and multi-agent learning frameworks. She has been recognized for her work in vehicular edge computing and digital twin integration, though explicit awards are not listed here. She advises on graduate studies in networking and edge computing, though no specific student names are provided in the text. Her work often intersects with practical challenges in smart infrastructure and autonomous vehicle systems.

• Wireless Networking
• Network Resource Management
• Mobile Edge Computing
• +۴ مورد دیگر

Dr. Adel Abusitta is an Assistant Professor in the Department of Computer Engineering and Software Engineering at Polytechnique Montréal, where he conducts research at the intersection of artificial intelligence and cybersecurity. With expertise in secure and resilient AI systems, IoT security, and malware analysis, Dr. Abusitta has established himself as a significant contributor to the field of AI-powered cybersecurity solutions. Education: PhD in Computer Engineering from Polytechnique Montréal Postdoctoral Fellow at University of Montréal Postdoctoral Fellow at McGill University Dr. Abusitta's research focuses on developing secure and trustworthy artificial intelligence systems with applications in cybersecurity. His work spans several critical areas including explainable AI for security applications, AI-powered malware analysis, intrusion detection systems, and IoT security. He has made significant contributions to the understanding of how AI can be both secured against attacks and used to enhance security systems. His research addresses the dual challenge of making AI systems resilient to adversarial manipulation while leveraging AI's capabilities to detect and prevent cyber threats in complex environments like cloud computing and IoT networks. Analysis of Dr. Abusitta's recent publications reveals a strong focus on the intersection of AI and cybersecurity, particularly in developing robust anomaly detection systems, explainable security solutions, and resilient architectures for IoT environments. His work demonstrates a consistent trajectory toward making AI systems both more secure and more useful for security applications, with increasing emphasis on practical implementations that can withstand real-world challenges. Dr. Abusitta has collaborated extensively with Defence Research and Development Canada (DRDC) on projects related to AI-powered data analytics for discerning malware intent. He has also worked with industrial partners through the Institute for Data Valorization (IVADO) to develop privacy-preserving machine learning techniques that maintain accuracy while protecting sensitive information. His research has practical applications in critical infrastructure protection and secure AI deployment.

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

Xiaoyu Ai is a Researcher at the School of Electrical Engineering and Telecommunications at the University of New South Wales (UNSW Kensington). His work bridges telecommunications engineering with quantum communication technologies. Bachelor of Engineering (Xidian University, 2013) Master of Engineering Science (UNSW, 2015) PhD in Telecommunications (UNSW, 2022) A specialist in quantum key distribution (QKD), Xiaoyu Ai focuses on channel coding for satellite-based QKD systems, including the development of LDPC codes and multithreaded reconciliation algorithms. His research extends to wireless communication protocols for mining IoT applications and scalable LoRa mesh networks. Recent work includes quantum emitter integration in hexagonal boron nitride for secure communication hardware. Key publications highlight his contributions to quantum cryptography, satellite communication, and industrial IoT. Notable projects include the CRC-P initiative for LoRa-based backup systems in the mining industry and collaborations in quantum networking with institutions like University of Technology Sydney. His technical expertise spans secure communication protocols, photonic device optimization, and low-light multimedia algorithms, as evidenced by recent conference presentations.

• Quantum Communications
• Satellite Communications
• Telecommunications
• +۵ مورد دیگر

Athanasios Gkelias is a Research Fellow in the Department of Electrical and Electronic Engineering at Imperial College London's Faculty of Engineering. His research focuses on advanced wireless communication systems, network optimization, machine learning applications, and quantum computing methodologies. He contributes to interdisciplinary projects involving IoT coalitions, adversarial signal detection, and cognitive behavior analysis. Key research areas include: (1) Network resource management in Software-Defined Networks (SDN), (2) Localization systems for indoor environments, (3) 3D reconstruction using photometric stereo and origami-based modeling, and (4) distributed optimization frameworks for ad-hoc networks. His recent work explores quantum approaches to combinatorial optimization and self-supervised learning methods. Publications span 20+ years with notable contributions in network coding, vehicular ad-hoc networks (VANETs), and cross-layer design for wireless mesh networks. His work emphasizes practical implementations through frameworks like iVisher for caller ID spoofing detection and cooperative MAC protocols for multi-antenna systems. No scientific awards are listed in the provided information. His research has been applied in healthcare technology through emotion understanding systems for Alzheimer’s patients and in battlefield communication through IoBT coalitions. Active participation in Imperial College's Engineering faculty reflects his commitment to advancing telecommunications and network science.

• Wireless Communication
• Network Optimization
• Machine Learning
• +۳ مورد دیگر

Professor Eddie Ball is a Professor of Radio Frequency Engineering at the University of Sheffield's School of Electrical and Electronic Engineering, and a UKRI Future Leaders Fellow (2021-2028). He leads the Electromagnetics, Wireless Hardware & RF Devices research theme and directs the EPSRC Millimetre Wave Measurement Laboratory. His expertise spans RF circuit/system design, SDR, and millimeter-wave technologies, with a focus on IoT applications and hardware manufacturing. Qualifications: Ph.D., University of Sheffield (2024) M.Eng (1st class), University of York (1996) Chartered Engineer Research Interests: Novel RF circuit/system design Millimeter-wave transceivers and antennas RF-MMIC and SiGe design IoT radio systems and blockchain integration Low-cost, high-performance wireless protocols Teaching: Creator and instructor for EEE6239: Radio Transceiver System & Circuit Design 2nd-year course leader for VHF Synthesiser for Wireless Communications Labs/Teams: EPSRC Millimetre Wave Measurement Laboratory Future Millimetre Wave RF Transceiver Architectures Project

• RF Engineering
• Wireless Systems Design
• Millimeter-Wave Communications
• +۵ مورد دیگر

Akos Ledeczi is a Professor of Computer Science and Electrical and Computer Engineering at Vanderbilt University's School of Engineering. His research focuses on computer science education and wireless sensor networks (WSN) , with notable contributions to visual programming tools like NetsBlox and anti-poaching systems like WIPER. He holds a Ph.D. from Vanderbilt University and a Diploma from the Technical University of Budapest. His education initiatives include the NetsBlox platform for K-12 STEM education and a popular Coursera MOOC on introductory programming. In WSN, his team developed a countersniper system with real-time shooter localization and a wearable system for military applications. He is also a leader in Model Integrated Computing , creating tools like the Web-based Generic Modeling Environment. Recent work includes NSF-funded projects on cybersecurity education in middle schools and animal-borne acoustic monitoring. His awards include the ACM SenSys Test of Time Award (2014) and the Best Showpiece Award at IEEE VL/HCC (2021). Key grants and collaborations span NSF projects, Vodafone innovation programs, and the Cyber Makerspace initiative. His lab develops tools like DeepForge and RoboScape Online , emphasizing open-source and collaborative platforms. Students supervised include Devin Jean (K-12 tools), Gordon Stein (robotics simulations), and Brian Broll (NetsBlox extensions).

• Computer Science Education
• Wireless Sensor Networks
• Model Integrated Computing
• +۳ مورد دیگر

Jayakrishnan M. Purushothama is an Assistant Professor in the Microwave and Antenna Engineering Research Group at Heriot-Watt University's School of Engineering and Physical Sciences since March 2023. Previously, he held roles including Post-Doctoral Researcher (2019–2021) and Ph.D. scholar (2016–2019) at Université Grenoble Alpes, and Research Fellow (2014–2016) at Cochin University of Science and Technology. Education: B.Sc. (Electronics) & M.Sc. (Electronics Science), Mahatma Gandhi University & Cochin University of Science and Technology (2012–2014), both with first rank honours. Ph.D. (RF and Microwave Electronics Engineering), Université Grenoble Alpes (2019). Research interests focus on microwave antennas, beamforming, chipless RFID systems, CBRAM-based RF switches, medical biosensors, and electromagnetic compatibility. His work emphasizes reconfigurable systems, energy efficiency, and non-volatile memory applications in passive devices. Awards include the URSI Young Scientist Award (2020), 4th Prize in URSI Student Competition (2018), and UGC NET/JRF qualification (top 0.6% in 2013). Grants include ERC-funded ScattererID project (2019–2021) developing CBRAM-based RF switches. His lab explores innovations in antenna engineering, RF materials, and wearable electronics. Key contributions include reconfigurable antennas, low-cost RFID tags, and metamaterial-based shielding solutions.

• Microwave Engineering
• Antenna Design
• Chipless RFID
• +۵ مورد دیگر