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Zhengdao WangView profile

Professor

• Machine Learning
• Cybersecurity
• Communications
• +2 more

Zhengdao Wang is a Professor in the Department of Cyber Security Engineering at George Mason University (GMU). Previously, he held a professorship at Iowa State University (2002–2023) and served as a Program Director at the National Science Foundation’s Division of Electrical, Communications, and Cyber Systems (2020–2022). He earned a PhD in Electrical Engineering from the University of Minnesota (2002), an MS from the University of Virginia (1999), and a BEng from the University of Science and Technology of China (1996). His research focuses on machine learning, cybersecurity, communications, signal processing, and information theory. Notable contributions include advancements in reinforcement learning architectures, energy-harvesting systems, and secure communication protocols. His work has been recognized with awards such as the IEEE Signal Processing Society Best Magazine Paper Award (2003), IEEE Marconi Paper Prize (2004), and election as an IEEE Fellow (2016). Key research themes include optimizing wireless networks, designing robust learning algorithms, and exploring theoretical limits of communication systems. Recent publications (2018–2021) highlight innovations in reinforcement learning frameworks, secure key generation, and nonconvex optimization techniques. Professional contributions include editorial roles in top IEEE journals and leadership in international conferences. His interdisciplinary expertise bridges theoretical foundations and practical applications in cyber-physical systems.

Tao HouView profile

Assistant Professor

• Cybersecurity
• Smart Grid Security
• IoT Device Security
• +4 more

Tao Hou is an Assistant Professor in the Department of Computer Science and Engineering at the University of North Texas. His research focuses on cybersecurity, with an emphasis on smart grid security, IoT device protection, post-quantum cryptography, and machine learning applications in defense mechanisms. He actively contributes to securing critical infrastructures and mitigating emerging threats in distributed systems. Dr. Hou's work spans theoretical advancements and practical implementations, including frameworks for data integrity via Intel SGX, adaptive feature engineering for attack detection, and dynamic encryption for medical IoT devices. His research also addresses risks posed by third-party JavaScript and adversarial attacks targeting deep learning systems. Key contributions include surveys on smart grid security challenges, keylogger evolution analysis, and post-quantum cryptographic strategies. He explores innovative solutions like IoTGAN for device anonymization and SecDINT for data-oriented attack prevention. Education and professional background details are not explicitly provided in available records. No awards or grants are listed in the current dataset.

Ole SigmundView profile

Professor

• Topology Optimization
• Structural Mechanics
• Nanophotonics
• +4 more

Ole Sigmund is a Professor at the Technical University of Denmark within the Department of Civil and Mechanical Engineering. He is affiliated with the NanoPhoton – Center for Nanophotonics and actively involved in research related to topology optimization, structural mechanics, and nanophotonics. Accepting PhD Students ORCID: 0000-0003-0344-7249 Research Interests: His work spans structural design, inverse methods, and multiphysics systems. Key areas include metamaterials, additive manufacturing, and photonic device optimization. Recent Publications (2021-2025): Focus on topology optimization for mechanical stability, nanophotonics, and multi-physics applications. Projects: Over 80 projects, including vibroacoustic systems, nanocavity design, and thermo-mechanical regulators. Collaborates with researchers like J.P. Groen and F. Wang.

• Wireless Communications
• MIMO Systems
• Signal Processing
• +5 more

Jihoon Choi is a Professor in the Department of Electrical Engineering at Korea University's College of Engineering. With an extensive publication record spanning over two decades from 2000 to 2025, he has established himself as a leading researcher in wireless communications and signal processing. His work primarily focuses on MIMO systems, space-time coding techniques, and channel estimation methodologies. Choi's research interests center around advanced wireless communication techniques, particularly in next-generation wireless systems. His work spans multiple specialized areas including Space-Time Line Coding, mmWave communications, physical layer security, and intelligent reflecting surface technologies. He has made significant contributions to the development of novel precoding and combining strategies for multiuser MIMO systems, with special emphasis on rate balancing and interference management techniques. Analysis of his recent publications (2021-2025) reveals a strong research trajectory focused on space-time line coding applications across diverse scenarios including UAV systems, SAR imaging, and physical layer security. His work demonstrates a consistent pattern of innovation in wireless communications, with increasing emphasis on practical implementations for 5G/6G systems. The publications show a clear evolution from fundamental signal processing techniques to more complex system-level implementations addressing real-world challenges in wireless communications. Throughout his career, Professor Choi has maintained a highly productive research output with over 70 publications in prestigious IEEE journals and conferences. His work demonstrates strong collaboration patterns, particularly with researchers like Jingon Joung, Wonjun Lee, and Yong Hoon Lee, suggesting active participation in research groups or laboratories focused on wireless communications. His recent publications indicate ongoing research activity with multiple 2025 publications currently in process.

Xu WangView profile

Associate Professor

• Optical Communication
• Photonics
• Fiber Optics
• +5 more

Xu Wang is an Associate Professor at Heriot-Watt University's School of Engineering & Physical Sciences, affiliated with the Institute of Photonics and Quantum Sciences. His research focuses on optical communication systems, underwater wireless optical communication, fiber Bragg grating (FBG) sensing, and signal processing using machine learning. He leads efforts in secure optical communication, nanotechnology for sensing, and turbulence-resistant underwater systems. Notable projects include developing deep learning-based signal processing for UWOC and reviewing novel FBG sensing materials. His work contributes to UN Sustainable Development Goals related to industry, innovation, and infrastructure. Dr. Wang has published extensively, with over 150 peer-reviewed articles since 1999. Recent trends in his publications emphasize underwater communication systems, secure optical encryption, and interdisciplinary applications of photonics. Collaborations span international institutions, particularly in Europe and Asia. Key Research Areas: Underwater Communication, Optical Sensing, Secure Networks, Nanomaterials Recent Achievements: 2024 Review on FBG Sensing, 2023 Deep Learning in UWOC, 2021 Quantum-Enhanced Encryption Systems No scientific awards are explicitly listed, though his prolific output suggests significant recognition. His lab focuses on translating theoretical innovations into practical systems for harsh environments and secure data transmission.

Suryakanta BiswalView profile

Research Fellow

• Structural Health Monitoring
• Uncertainty Modelling
• Finite Element Model Updating
• +4 more

Dr. Suryakanta Biswal is a Research Fellow at the University of Surrey's School of Sustainability, Civil and Environmental Engineering. Previously, he held roles including Assistant Professor at SSN College of Engineering, Chennai, and Research Fellow in India's BRNS/DAE project. He earned a PhD and MSc from the Indian Institute of Science, Bangalore, with a thesis focusing on uncertainty-based damage identification in concrete structures. His research emphasizes structural health monitoring (SHM), uncertainty quantification, finite element model updating, and long-term deformation prediction in concrete. Key work includes developing algorithms for bolted connection damage detection using virtual viscous dampers, optimal sensor placement strategies, and deep learning frameworks like SHMnet achieving human-level performance in condition assessment. Recent publications address offshore wind turbine foundations, seismic risks, and digitally fabricated timber columns. His projects include EPSRC-funded SHM initiatives and collaborative work on Tension Leg Platforms. Biswal's expertise spans MATLAB, ANSYS, and ABAQUS, aiding colleagues in computational modeling. Grants include Engineering & Physical Sciences Research Council (EPSRC) funding for SHM projects. He collaborates with organizations like the Association of Consulting Civil Engineers (India). Current research focuses on advancing AI-driven structural monitoring and sustainable infrastructure solutions.

Mustafa NamdarView profile

Associate Professor

• Integrated Sensing and Communication (ISAC)
• Reconfigurable Intelligent Surfaces (RIS)
• Cognitive Radio Networks (CRNs)
• +3 more

Assoc. Prof. Dr. Mustafa Namdar holds an academic position at Kütahya Dumlupınar University's Faculty of Engineering, Department of Electrical-Electronics Engineering. His research focuses on advanced communication systems including Integrated Sensing and Communication (ISAC), Reconfigurable Intelligent Surfaces (RIS), and Non-Orthogonal Multiple Access (NOMA). He has led 11 projects funded by institutions like TUBITAK and the Turkish Presidency of Defense Industries (SSB). His work spans 83 publications, including peer-reviewed journal articles and conference proceedings. Notable achievements include the IEEE ELECO 2024 Best Paper Award and multiple TÜBİTAK publication incentives. Education: PhD in Electronics and Communication Engineering from Yıldız Technical University (2006–2014) Research Interests: 6G Communication Technologies AI-driven Network Optimization Unmanned Aerial Vehicle (UAV) Communication Systems Wireless Security and Privacy Grants & Awards: Overseen 23 projects totaling €1.2M Recipient of Elsevier's Recognized Reviewer Status (2015–2021) Labs & Teams: Collaborates with the 6G Platform at Istanbul Medipol University and the Information and Communications Research Group (ICRG) at ITU.

• Marine Autonomy
• Autonomous Robotics
• Underwater Imaging
• +5 more

Blair Thornton is a Professor of Marine Autonomy at the University of Southampton's Engineering and Physical Sciences faculty. He specializes in autonomous marine robotics, sensing systems, and AI-driven data interpretation for oceanic research. As Co-Director of the FEPS In situ and Remote Intelligent Sensing (IRIS) Centre of Excellence, he leads projects advancing underwater exploration technologies. Education: PhD in Underwater Robotics (University of Southampton, 2006), with postdoctoral research at the University of Tokyo (2006–2016). Over 500 days at sea, leading 30 expeditions as Principal Investigator. Teaching includes modules on Maritime Robotics and Intelligent Mobile Robotics with practical robotics coding. Research focuses on 3D seafloor mapping, low-cost robotic platforms, and laser spectroscopy for in-situ chemical analysis. Collaborations include the National Oceanography Centre, Sonardyne International, and JAMSTEC. Awards include the Okamura Kenji Prize (2014), IEEE Mid-Career Rising Star (2022), and Japanese Government Open Innovation Prize (2024). Leading 15+ active/completed research projects, including BioCam (NERC), TechOceanS (EU), and DriftCam (EPSRC). Supervises 15+ PhD students in marine robotics and sensing. External roles include IEEE Journal reviewing and international conference speaking on seabed imaging and marine autonomy. Labs/Teams: Ocean Perception Group, Southampton Marine and Maritime Institute, and the IRIS Centre. Develops commercial survey services and robotic teaching platforms for field trials and education.

Steven W McLaughlinView profile

Professor

• Communications
• Information Theory
• Error Control Coding
• +6 more

Dr. Steven W. McLaughlin serves as the Provost and Executive Vice President for Academic Affairs at Georgia Tech, overseeing all academic units. He is also a Professor in the School of Electrical and Computer Engineering. McLaughlin holds degrees from Northwestern University (B.S.E.E.), Princeton University (M.S.E.), and the University of Michigan (Ph.D.). His research focuses on communications and information theory, with contributions to error control coding, data security, and quantum key distribution. He co-founded CREATE-X, a program that has launched 72 student-led companies and engaged over 1,500 students in entrepreneurship. McLaughlin has authored over 250 publications, holds 36 U.S. patents, and is a Fellow of the IEEE. Awardees include the Chevalier dans l'Ordre National du Mérite (France’s second-highest civilian honor) and the Presidential Early Career Award for Scientists and Engineers (PECASE). His leadership roles include Dean of the College of Engineering and Vice Provost for International Initiatives. He has pioneered initiatives in global engagement and educational innovation, emphasizing interdisciplinary collaboration and technology-driven solutions.

Xuemin ShenView profile

Professor

• 6G Networks
• AI-Driven Communications
• Digital Twin Technology
• +5 more

Xuemin (Sherman) Shen is a University Professor at the University of Waterloo, specializing in advanced communication systems and AI-driven network optimization. His research focuses on 6G networks, digital twin technology, vehicular systems, and generative AI applications in wireless communications. He leads initiatives in edge computing, federated learning, and secure physical layer communications. Key research areas include 6G architecture design, intelligent transportation systems, and AI integration into network management. His work bridges theoretical advancements with practical implementations in areas like OTFS modulation, MIMO equalization, and hybrid-field antenna systems. Recent projects emphasize digital twin frameworks for network orchestration, immersive communications via edge computing, and trustworthy semantic communication systems. His contributions span both foundational studies and applied solutions in wireless security, distributed learning, and terahertz communication systems.

• Digital Communication
• Signal Processing for Communications
• Network Coding
• +6 more

Mutlu Koca is a Professor at Bogazici University's Department of Electrical and Electronics Engineering, part of the Faculty of Engineering and Natural Sciences. His research interests center on digital communication systems, signal processing for communications, and network coding applications in IoT and NOMA systems. He leads the Wireless Communications Lab (WCL), focusing on cutting-edge topics like age of information optimization, spatial modulation techniques, and physical layer security. Key research areas include: 1) Developing low-latency communication protocols for IoT networks using network coding and dynamic scheduling strategies, 2) Enhancing NOMA systems through optimal user pairing and interference mitigation, 3) Advancing spatial modulation techniques with polarization diversity and precoding for MIMO systems, and 4) Securing wireless communications via channel correlation-resistant designs and physical layer security mechanisms. Recent work emphasizes age of information metrics in multi-source IoT networks and backscatter communication systems. His research bridges theoretical advancements with practical implementations, including hardware-efficient solutions for ultra-wideband systems and energy harvesting networks. Collaborations focus on smart city infrastructure and neuro-inspired communication architectures. He has advised numerous projects in wireless communication technologies and maintains an active presence in academic-industry partnerships. His lab's work has led to significant contributions in 5G/6G technologies, with ongoing efforts in AI-driven network security and edge computing integration.

• Computational Neuroscience
• Neural Networks
• Mathematical Modeling
• +3 more

Srdjan Ostojic is a CNRS Researcher at the Group for Neural Theory, École Normale Supérieure Paris, leading the Network Dynamics and Computations team within the LNC2 laboratory. His research focuses on understanding neural computations through mathematical modeling and analysis of neural activity recorded from behaving animals. Dr. Ostojic's academic journey includes a PhD from the Institute for Theoretical Physics at the University of Amsterdam (2002-2006), followed by postdoctoral work at the Laboratory of Statistical Physics at École Normale Supérieure Paris (2006-2009) and a prestigious Marie-Curie fellowship at Columbia University (2009-2012). His research spans computational neuroscience with emphasis on neural dynamics, network modeling, and the relationship between connectivity patterns and computational function in the brain. He investigates how specific network architectures give rise to computational capabilities through mathematical analysis of recurrent neural networks and cortical dynamics. Dr. Ostojic's publication record reveals consistent contributions to understanding low-rank structures in neural networks, the geometry of population activity, and how network structure influences computation. His work frequently appears in top journals including Nature Neuroscience, Neuron, and Nature Communications, demonstrating significant impact in theoretical neuroscience. Marie-Curie fellowship recipient Active contributor to scientific community practices Regular participant in neuroscience conferences He actively mentors researchers through available internships, PhD, and postdoc positions, fostering the next generation of computational neuroscientists. His laboratory continues to investigate fundamental questions about how neural circuits implement computations through their structure and dynamics.

• Cybersecurity
• Database Forensics
• Machine Learning Applications in Security
• +4 more

Peter Frühwirt is an External Lecturer in the Department of Information Systems Engineering at Vienna University of Technology (E194). His research focuses on cybersecurity, database forensics, and usable security, with a particular emphasis on tamper-proof systems, QR code vulnerabilities, and forensic-aware database solutions. Education : Dipl.-Ing. Dr.techn., BSc BSc Research Interests : Cybersecurity, Database Forensics, Machine Learning Applications in Security, QR Code Security, Web Application Security, Traffic Classification His recent publications analyze forensic-aware database protocols, QR code threats, and machine learning applications for attacker profiling. He teaches courses including Advanced Software Engineering, Software Engineering Project, and Software Quality Assurance.

Youki KadobayashiView profile

Professor

• Internet Engineering
• Web Security
• Cybersecurity Education
• +4 more

Youki Kadobayashi is a Professor at NAIST, specializing in cybersecurity and network engineering. He holds a Ph.D. in Computer Science from Osaka University. His research focuses on Internet infrastructure evolution, cybersecurity education, and standards development. He collaborates with industry and academia on projects like creating technologies for failure recovery and infrastructure co-creation. Research interests include: Internet engineering, web security, cybersecurity education standards, and privacy-preserving systems. His work addresses challenges in smart home security, federated learning for fraud detection, and secure edge computing. Publications span topics like differential privacy, federated learning frameworks, and authentication protocols. He contributes to consortia such as WIDE and organizes competitions like CDMC and Hardening Zero. His lab explores advanced cybersecurity tools and datasets.

Johannes BauerView profile

Professor

• Applied Cryptography
• Embedded Systems Security
• Vulnerability Assessment
• +7 more

Prof. Johannes Bauer is a Professor of Computer Science at Cooperative State University Mannheim (DHBW Mannheim) since 2022. He holds a Ph.D. in Computer Science from Friedrich-Alexander-Universität Erlangen-Nürnberg (2016), focusing on cost-effective security measures for embedded systems. His research spans applied cryptography, vulnerability assessment, side-channel analysis, and hardware security modules (HSMs). Professional Experience: 2022–Present: Professor at DHBW Mannheim 2018–2021: Principal Designated Engineer for cybersecurity standards at Underwriters Laboratories 2016–2018: Product Security Officer at Robert Bosch Smart Home GmbH Research Interests: Embedded systems security Physical-layer attacks and covert channels Cold-boot attacks and memory forensics Hardware-software co-design for security Smart grid cybersecurity Publications Highlight: His 2016 Ph.D. thesis introduced novel methods for timing side-channel detection and anti-EMI feature abuse. Recent work includes analyzing demand response capabilities in smart grids (2019). Labs/Teams: Active in cybersecurity research groups, contributing to standards like ETSI EN 303 645 and UL MCV 1376. Collaborates with industry partners on embedded system hardening.