جست‌وجوی استاد و پژوهشگر

Sepehr Amir-Mohammadianمشاهده پروفایل

دانشیار

• Cybersecurity
• Programming Languages
• Formal Software Security Assurance
• +۵ مورد دیگر

Sepehr Amir-Mohammadian is an Associate Professor in the Department of Computer Science at the University of the Pacific, part of the School of Engineering and Computer Science. His research focuses on cybersecurity, programming languages, and formal software security assurance, particularly applying linguistic approaches to ensure properties in security-critical applications. He earned his PhD in Computer Science from the University of Vermont (2017), focusing on in-depth security policy enforcement, following an MS in Information Security Engineering (Amirkabir University of Technology, 2011) and a BS in Information Technology Engineering (Amirkabir University of Technology, 2009). Teaching interests include computer networking, reliable software design, programming languages, and theoretical computer science. He has held leadership roles such as Engineering & Computer Science Council Chair (2020-2021) and currently represents his school in the Technology in Education Committee. His research bridges theory and practice, with contributions to audit logging correctness, quantitative information flow analysis, and cybersecurity in cyber-physical systems. Recent work emphasizes concurrent audit logging in distributed systems, timing attack analysis in cyber-physical systems, and leveraging digital twins for security quantification. Notable collaborations include the OpenMRS medical records system and PRISM-Leak tool development for probabilistic program analysis. His publications span conferences like ACM CPSS, IEEE COMPSAC, and IEEE ICNC, addressing challenges in microservices, concurrency, and formal methods. While no specific awards are noted, his contributions to security frameworks and practical implementations reflect significant scholarly impact. Research groups and projects include work on hybrid-dynamic systems, concurrent logging, and network protocol testing with large language models.

Anis Koubâaمشاهده پروفایل

استاد

• Real-Time Systems
• Quality of Service (QoS)
• Wireless Sensor Networks
• +۴ مورد دیگر

Anis Koubâa is a Professor at the Department of Electrical Engineering and Computers, Instituto Superior de Engenharia do Porto (ISEP), part of the Polytechnic Institute of Porto (IPP). He is a core member of the CISTER Research Centre, focusing on real-time systems, quality of service, wireless sensor networks, and cyber-physical systems. He holds a PhD in Computer Science from the National Polytechnic Institute (INPL, France), a Master’s from University of Nancy I, and a Telecommunications Engineering degree from Sup’Com Tunisia. His postdoctoral research at CISTER (2005–present) concentrated on real-time aspects of wireless sensor networks. Research interests span cooperative autonomous driving, drone networks, edge computing, and secure communication protocols. He has published extensively on topics like vehicular platooning, real-time QoS monitoring, and cloud-edge architectures for AI applications. His work integrates robotics (ROS frameworks), network protocols (IEEE 802.15.4e), and safety-critical systems. Over 100 papers in journals/conferences and co-authored books on ROS and cyber-physical systems demonstrate his leadership in these areas. Current projects include COPADRIVe (cooperative driving simulation), COPA-Drive (platooning validation), and secure architectures for autonomous systems. He leads the RIOTU-Lab for IoT and robotics research, emphasizing practical applications in disaster management, UAV coordination, and smart city infrastructure.

Dirk Van Hertemمشاهده پروفایل

استاد

• Decision Support for Grid Operators
• Power System Operation and Control
• HVDC Grids
• +۴ مورد دیگر

Professor Dirk Van Hertem is a faculty member at KU Leuven, Belgium, where he leads the Energy Transmission Competence Hub (ETCH) within the ELECTA division. He earned his M.Eng. (2001) from KHK Geel, M.Sc. (2003) and PhD (2009) from KU Leuven, and held a postdoctoral position at KTH Royal Institute of Technology (2010). His research focuses on power system planning, operation, and control, particularly for future transmission systems involving HVDC grids, offshore energy infrastructure, and supergrid concepts. Key research areas include: HVDC grid protection Underground power systems Cost-effective resilient energy supply Renewable energy integration Hybrid AC/DC system optimization He co-edited the seminal book HVDC GRIDS: For Offshore and Supergrid of the Future with researchers from UPC Barcelona and Cardiff University. His team includes 12 postdoctoral researchers and 24 PhD students working on topics ranging from grid restoration algorithms to cable fault localization and digital twin applications. Scientific distinctions: Fellow of the IEEE (PES, IAS) Active member of Cigré Principal investigator in multiple EU-funded projects Teaching responsibilities include advanced power system courses co-taught with senior professors. Regular PhD and postdoc vacancies are available through KU Leuven's job portal and the ETCH website.

• Optical Communication Systems
• Medical Image Segmentation
• Blockchain Technology
• +۳ مورد دیگر

Xueguang Yuan is a researcher with expertise in optical communication systems, medical image segmentation, blockchain technology, and IoT networks. Their work spans 2009–2024, focusing on advanced sensor design, federated learning algorithms, and secure communication protocols. Key Research Areas : Optical Time-Domain Reflectometry, Graphene Metasurfaces, Thyroid Nodule Segmentation, and Federated Learning for Multi-Institutional Collaboration Recent Publications (2024): Wearable strain sensors using MXene composites, SNR optimization in Φ-OTDR systems, and polarization conversion metasurfaces for radar cross-section reduction Notable collaborations include Yangan Zhang (optical systems), Xiaohong Huang (medical AI), and Zhifang Deng (federated learning). Trends in their 2021–2024 articles highlight applications of transformers , compressed sensing , and blockchain in healthcare, 5G networks, and security. They have contributed to 5G broadcast services, satellite routing, and edge computing platforms, though no formal awards or student mentorship details are publicly listed in the provided sources.

• Wireless Communications
• Signal Processing
• MIMO Systems
• +۶ مورد دیگر

Claude D'Amours is a Professor in the Department of Electrical and Computer Engineering at the University of Ottawa, Faculty of Engineering. With a research career spanning over two decades, his work has significantly contributed to the fields of wireless communications, signal processing, and network security. His current research focuses on cutting-edge technologies including 5G/6G networks, UAV communications, reconfigurable intelligent surfaces, and physical layer security. Dr. D'Amours' research interests center on advanced wireless communication systems, with particular emphasis on MIMO technologies, CDMA systems, spectrum sensing techniques, and channel modeling for emerging applications. His work bridges theoretical foundations with practical implementations, addressing critical challenges in modern wireless networks including interference management, security vulnerabilities, and efficient resource allocation. Recent research has expanded into UAV communications, where he investigates channel characteristics and reliability issues in drone-based networks. Analysis of his recent publications reveals a strong focus on security aspects of wireless communications, particularly physical layer security mechanisms to counter jamming attacks and eavesdropping. His work on RF fingerprinting for device authentication in industrial IoT settings demonstrates practical applications of his theoretical research. The trend in his publications shows increasing attention to 5G/6G technologies, with particular emphasis on millimeter wave communications, hybrid precoding architectures, and novel approaches to spectrum sharing. Multiple publications on UAV-to-ground channel modeling and performance analysis Research on physical layer security mechanisms against jamming attacks Work on hybrid precoding architectures for mmWave MIMO systems Studies on RF fingerprinting for secure industrial IoT applications Investigations into spectrum sensing techniques for cognitive radio Dr. D'Amours maintains active research collaborations with numerous colleagues, particularly Michel Kulhandjian, Hovannes Kulhandjian, and François Chan, resulting in a consistent stream of high-impact publications across top-tier IEEE journals and conferences. His research group appears to focus on both theoretical analysis and practical implementation of advanced wireless communication techniques, with applications spanning from critical mission communications to industrial IoT security.

Shuminoski Tomislavمشاهده پروفایل

پژوهشگر

• Telecommunications
• Wireless Networks
• Cybersecurity
• +۶ مورد دیگر

Shuminoski Tomislav is a researcher at the Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University in Skopje, North Macedonia. He holds a PhD in Electrical Engineering and Information Technologies (2016) with a dissertation on 5G QoS mechanisms and vertical multi-homing. His academic background includes a Master’s (2010) and Bachelor’s (2008) in Telecommunication, both with perfect grades. He specializes in telecommunications, cybersecurity, and next-generation mobile networks, focusing on QoS optimization, 5G infrastructure, and secure communication frameworks. Education: PhD, 2016: Ss. Cyril and Methodius University, Faculty of Electrical Engineering and Information Technologies (Dissertation: “QoS Mechanisms and Vertical multi-homing for 5G Mobile and Wireless Networks”) M.Sc., 2010: Telecommunication, Module: Communication and Information Technologies B.Sc., 2008: Telecommunication Research Interests: His work spans 5G networks, mobile edge computing, cybersecurity, IoT security, QoS provisioning, and blockchain applications in cloud computing. He emphasizes practical implementations of theoretical models in real-world scenarios, such as emergency response systems and ultra-reliable low-latency communication. Publications: Over 30 peer-reviewed articles since 2009, including innovative papers on 5G frameworks, secure communication platforms, and steganographic techniques. Recent work focuses on AI-driven resource allocation and quantum-resistant cryptography for IoT. Awards/Grants: No specific awards mentioned, but active in collaborative industry projects on network security and cloud infrastructure. Labs/Teams: Associated with the Telecommunications Institute at FEIT, contributing to research on wireless networks and critical infrastructure systems.

António Casimiroمشاهده پروفایل

دانشیار

• Dependable adaptive systems
• Middleware for distributed embedded real-time systems
• Cyber-Physical Systems
• +۴ مورد دیگر

António Casimiro is an Associate Professor at the Department of Informatics of the Faculty of Sciences, University of Lisbon. He holds a PhD in Computer Science (2003) from the same institution. His research focuses on dependable adaptive systems, middleware for distributed real-time applications, and cyber-physical systems. He leads the Cyber-Physical Systems research line at the LASIGE research unit and coordinates EU projects like ADMORPH and VEDLIoT, as well as the national AQUAMON project for water monitoring. Education: PhD in Computer Science, University of Lisbon (2003) Research Interests: Middleware for embedded real-time systems Fault-tolerant distributed systems IoT and environmental monitoring Cybersecurity in autonomous systems Key Projects: KARYON (FP7): Safe cooperative automotive/avionics systems VEDLIoT (H2020): Accelerated AIoT systems AQUAMON: Wireless sensor networks for water monitoring Awards: None explicitly listed, but active in editorial roles like Editor-in-Chief of the Ada User Journal. Teaching & Leadership: Coordinates the Master in Information Security program Former Vice-Director of LASIGE and member of Faculty Scientific Council Labs/Teams: LASIGE research unit, Navigators group, involvement in GULLIVER testbed for vehicular systems.

• Signal Processing
• Communications Engineering
• Radar Systems
• +۵ مورد دیگر

Assoc. Professor Qinghua Guo holds a position at the University of Wollongong's School of Electrical, Computer and Telecommunications Engineering. He earned his PhD from City University of Hong Kong (2008) and has been affiliated with the University of Wollongong since 2019. His research focuses on signal processing, communications, radar systems, machine learning, and optical sensing, with notable contributions to graphical models and Bayesian inference. Prof. Guo is recognized as a top 2% influential scientist globally (Stanford University) and a leader in Electronics and Computer Science (Research.com). He serves as an Associate Editor for IEEE Transactions on Signal Processing and IEEE Wireless Communications Letters, among other roles. His teaching spans undergraduate to postgraduate levels, including specialized subjects in engineering and information sciences. His recent research emphasizes integrated sensing and communication systems, federated learning, and secure beamforming in 5G/6G networks. He has supervised over 30 PhD and Master’s students in areas like MIMO systems, signal processing for IoT, and quantum sensing. Key funded projects include AFDM-SCMA (2025–2028) for IoT connectivity and Grant-Free Multiple Access for LEO satellite networks (2023–2027). His work bridges theoretical advancements with practical applications in robotics, energy systems, and defense technologies.

Yanwu Dingمشاهده پروفایل

دانشیار

• Signal Processing
• Satellite Communications
• Wireless Networks
• +۳ مورد دیگر

Yanwu Ding is an Associate Professor in the Department of Electrical and Computer Engineering at Wichita State University's College of Engineering. His research focuses on signal processing, satellite communications, wireless networks, and electromagnetic interference mitigation. He holds a Ph.D. and has published extensively on topics such as Doppler-based localization, channel estimation, and interference detection in satellite and terrestrial systems. Research interests include optimizing satellite navigation systems, developing robust algorithms for EMI geolocation, and enhancing wireless network performance through advanced signal processing techniques. His work spans both theoretical contributions (e.g., Doppler signatures, Kalman filter applications) and practical applications (e.g., 5G channel modeling, RIS-aided systems). Recent publications emphasize satellite-borne localization, semi-passive RIS systems, and distributed antenna array optimizations. No awards or grants are explicitly listed, though his prolific output indicates significant scholarly contribution. No advising or student information is provided. His work contributes to improving satellite communication reliability, EMI detection capabilities, and next-generation wireless infrastructure design.

• Algorithmic Social Choice
• Fair Division
• Multi-Winner Elections
• +۴ مورد دیگر

Jiehua Chen is an Associate Professor in the Department of Algorithms and Complexity at TU Wien (Vienna University of Technology), part of the School of Informatics. Her research focuses on algorithmic social choice, fair division, and computational complexity with applications to multi-agent systems, stable matchings, and parameterized algorithms. She leads the project Structural and Algorithmic Aspects of Preference-based Problems in Social Choice (2019–2027), funded by the Vienna Science and Technology Fund (WWTF). Her work spans theoretical contributions to voting systems, fair allocation mechanisms, and graph-based problems, with notable publications in venues like AAAI, IJCAI, and ACM Transactions on Economics and Computation. She teaches courses such as Algorithmic Social Choice and Quantum Computing and Complexity Theory , and has supervised research like E. Ceylan's diploma thesis on optimal seat arrangement algorithms. Chen’s research emphasizes practical algorithm design for social choice challenges, including refugee resettlement, participatory budgeting, and hedonic games. She frequently presents at international conferences and collaborates on interdisciplinary projects involving computational complexity and graph theory.

Meltem Aksoyمشاهده پروفایل

دانشیار

• Sustainable Urban Development
• Social Housing Practices
• User Participation in Design
• +۷ مورد دیگر

Meltem Aksoy is an Associate Professor at the Department of Architecture, Istanbul Technical University. Her academic work spans urbanization processes, social housing practices, and digital design technologies, with a particular focus on user participation and ecological sustainability in the built environment. Current affiliation: Department of Architecture, Istanbul Technical University Research themes: Composite cities, informal settlements, parametric design, ambient intelligence Her research explores: Intersections of digital technologies and spatial perception Methodologies for participatory social housing Computational approaches to architectural decision-making Temporal-spatial dynamics in contemporary urbanization Recent publications demonstrate trends in: AI-assisted design negotiation frameworks Fuzzy logic applications in architectural performance Critical analyses of composite urban structures Evolution of home-street relationships She has supervised 33 graduate theses spanning topics from: Architectural essay films Political space narratives Smart facade technologies Urban data representation

• Mechanical Metamaterials
• Origami-Inspired Structures
• Wave Propagation
• +۳ مورد دیگر

Charles Dorn is an Assistant Professor in the Department of Aeronautics and Astronautics at the University of Washington. His research focuses on structural mechanics, architected materials, and reconfigurable systems. Prior to UW, he was a Postdoctoral Fellow at ETH Zurich (2021–2024), and completed his PhD in Space Engineering at Caltech (2021), with additional degrees from Ecole Polytechnique and UW-Madison. Education: PhD, Space Engineering, California Institute of Technology, 2021 M.S., Multiphysics and Multiscale Modeling, Ecole Polytechnique, 2018 M.S., Space Engineering, Caltech, 2017 B.S., Engineering Mechanics, UW-Madison, 2016 Research Interests: His work bridges mechanics, computation, and design to create structures with extreme properties like wave steering and shape reconfiguration. Key areas include mechanical metamaterials, origami-inspired systems, and spatially graded metamaterials for vibration suppression. Recent projects explore inverse design methods and multi-configuration rigidity. Key Achievements: Developed ray-tracing tools for elastic waves in graded metamaterials Winner of 2018 R&D 100 Award for video-based vibration measurement techniques Collaborated with industry leaders like Prof. Sergio Pellegrino (Caltech) and Prof. Dennis Kochmann (ETH Zurich) Labs/Teams: Leads a research group at UW focused on advanced structural architectures and their applications across aerospace, robotics, and electronics.

Md Rokunuzzaman Robelمشاهده پروفایل

پژوهشگر ارشد

• Antenna Design for Microwave Biomedical Applications
• Microstrip Antennas and Arrays
• Conformal and Embedded Antennas
• +۵ مورد دیگر

Dr. Md Rokunuzzaman Robel is a Research Fellow at the School of Engineering, RMIT University, specializing in the Department of Electrical and Computer Engineering. His research focuses on antenna design for biomedical applications, metamaterials, wireless power transfer, and novel materials for wearable devices. He holds an ORCID identifier (0000-0001-9715-4652) and is actively supervising PhD/Masters projects in flexible wearable communications and bio-sensor technologies. Research interests include communications technologies, biomedical engineering, and advanced antenna systems. Recent projects involve metamaterial-based antennas for IoT, wearable bio-sensors, and flexible circuits. His work bridges electrical engineering with medical applications, emphasizing practical implementations in healthcare and wireless systems. Supervision includes projects like 'Transparent electronic patches: Wearable oxide-based bio-sensors' and 'Flexible and Wearable Communications Devices.' No scientific awards are explicitly mentioned in available records. His research outputs span antennas for medical diagnosis, RFID technologies, and metamaterial innovations, published in journals like IEEE Transactions and Advanced Intelligent Systems.

Andy Tyrrellمشاهده پروفایل

استاد

• Bio-inspired Architectures
• Evolvable Hardware
• Robotics
• +۲ مورد دیگر

Andy Tyrrell is Professor of Digital Electronics at the University of York. His research develops biologically-inspired architectures for computing systems, robotics, evolvable hardware, and fault-tolerant design. He co-founded ngenics and has published extensively on evolutionary systems.

Hamid R. Parsaeiمشاهده پروفایل

استاد

• Manufacturing Systems Design
• Additive Manufacturing
• Economic Decision Making
• +۳ مورد دیگر

Hamid R. Parsaei is a Professor of Industrial & Systems Engineering and Affiliated Professor in Multidisciplinary Engineering at Texas A&M University's College of Engineering. He serves as Director of College of Engineering Accreditation and Assessment. His expertise spans manufacturing systems design, additive manufacturing, and economic decision-making. He holds certifications as a Professional Engineer (PE) and has received numerous accolades including the IISE Albert G. Holzman Distinguished Educator Award (2022) and multiple fellowships from IISE, SME, and ASEE. Education: Ph.D. in Industrial Engineering, University of Texas at Arlington Research Interests: Design and analysis of manufacturing systems Industry 4.0 implementation and reconfigurable manufacturing systems Remote laboratory technologies for engineering education Economic decision-making in manufacturing and supply chains Sustainable manufacturing and enterprise reconfiguration His recent work focuses on Industry 4.0 readiness frameworks, digital twin technologies, and maritime risk analysis. He co-authored the award-winning book Reconfigurable Manufacturing Enterprises for Industry 4.0 (CRC Press, 2021). His publications span over 150 articles addressing smart manufacturing systems, remote laboratory platforms, and engineering education innovations. Key Awards: 2023 Distinguished Service Award (Industrial Engineering and Operations Management Society) 2022 IISE Book-of-the-Year Award 2018 Fred C. Crane Distinguished Service Award Lifetime Fellowships from IISE, SME, and ASEE Leadership and Impact: Dr. Parsaei pioneered scalable remote laboratory systems for global engineering education, enhancing accessibility through technologies like wiki-based platforms and mobile-optimized frameworks. He has advised numerous initiatives in educational technology and safety-critical systems, including UAV-based safety management in the oil industry. His work bridges academic research with industry needs through innovative solutions for manufacturing competitiveness and workforce readiness.