جستجوی استاد راهنمای دانشگاهی

Simon Theveninمشاهده پروفایل

استادیار

• Production Management
• Optimization Methods
• Production Scheduling
• +۴ مورد دیگر

Simon Thevenin is an Assistant Professor in the Automation, Production, and Computer Sciences Department at IMT Atlantique in France since 2018. He holds a Ph.D. from the University of Geneva (2015) and previously worked as a Postdoctoral researcher at HEC Montreal and an Algorithm Expert at Quintiq. His research focuses on optimization methods for production management, including scheduling, planning, and manufacturing line design. He leads projects such as the EU-funded ASSISTANT (2020-2023), ALICIA (2023-2025), and ACCURATE (2023-2026), advancing AI-driven solutions for sustainable manufacturing and supply chain resilience. His work integrates machine learning, robust optimization, and digital twin technologies to enhance production systems' adaptability and efficiency. Education: Ph.D. in Production Systems Scheduling, University of Geneva (2015) Teaching/Research Assistant, University of Geneva (2010-2015) Research Interests: His research emphasizes optimization under uncertainty, reconfigurable manufacturing systems, and AI applications in production. He explores topics like lot-sizing models, equipment lifecycle management, and circular manufacturing ecosystems. Grants/Projects: ASSISTANT (EU-funded, 2020-2023): AI for production digital twins ALICIA (EU-funded, 2023-2025): Circular production resource ecosystems ACCURATE (EU-funded, 2023-2026): Supply chain resilience against disruptions Labs/Teams: Part of the LS2N research lab (Modelis team) at IMT Atlantique, specializing in logistics and industrial optimization.

João Paiva Cardosoمشاهده پروفایل

استاد

• Reconfigurable Computing
• Compilers
• Embedded Systems
• +۵ مورد دیگر

João Paiva Cardoso is a Full Professor at the Department of Informatics Engineering, Faculty of Engineering of the University of Porto, Portugal, and a Senior Researcher at INESC TEC's Human-Centered Computing and Information Science Centre since July 1, 2011. He earned his PhD in Electrical and Computer Engineering from the Technical University of Lisbon in 2001 and has built an extensive career spanning academia and industry. Former positions: IST/UTL (2006-2008), Senior Researcher at INESC-ID (2001-2009), University of Algarve (1993-2006) Industry experience: PACT XPP Technologies, Inc., Munich, Germany (2001/2002) Professional affiliations: Senior Member of IEEE, Member of IEEE Computer Society, Senior Member of ACM His research centers on compilation techniques, domain-specific languages, reconfigurable computing, and high-performance embedded systems. Recent publications reveal a strong focus on hardware/software co-design, with particular emphasis on FPGA acceleration and source-to-source compilation techniques for optimizing CPU-FPGA applications. His work addresses critical challenges in High-Level Synthesis compatibility, task graph representations, and holistic partitioning approaches. Professor Cardoso has served in leadership roles for numerous international conferences including General Chair of FPL'2013 and General Co-Chair of multiple ARC symposia. His supervised theses cover diverse topics from energy-efficient classification techniques to FPGA-based kNN accelerators, demonstrating the breadth and practical application of his research vision.

• Database Systems
• Storage Systems
• Hardware Acceleration
• +۳ مورد دیگر

Alberto Lerner is a Senior Researcher at the Department of Informatics within the Interfaculty Informatics Department at the University of Fribourg. His research focuses on advancing database systems, storage architectures, and hardware-software co-design. He holds a strong interest in computational storage, network-accelerated query processing, and the integration of modern hardware technologies like CXL into database engines. Lerner's work emphasizes performance optimization and scalable solutions in data-intensive computing environments. His research interests include database architecture, storage co-design, hardware acceleration, and network-driven computing. Recent publications highlight innovations in point cloud data processing, reprogrammable storage devices, and software-defined controllers for NAND flash systems. Lerner's articles reflect a trend toward leveraging modern hardware advancements to enhance database and storage performance. He has contributed to frameworks like BABOL and Data Pipes, advancing declarative control over data movement and network-based graph mining.

Minxuan Zhouمشاهده پروفایل

استادیار

• Systems
• High Performance Computing
• Parallel Computing
• +۵ مورد دیگر

Minxuan Zhou is an Assistant Professor of Computer Science at Illinois Institute of Technology. His research focuses on systems, high-performance computing, and parallel computing with an emphasis on processing-in-memory (PIM) acceleration, fully homomorphic encryption (FHE), and hyperdimensional computing. He holds a Ph.D. and M.S. in Computer Science from the University of California San Diego, and a B.S. in Computer Science and Technology from Beihang University. His work spans hardware-software co-design, cryptographic acceleration, and energy-efficient computing systems. Research Interests Processing-in-Memory (PIM) architectures for accelerating machine learning and graph processing Hardware acceleration for secure computation (FHE) Hyperdimensional computing frameworks for edge AI Thermal-aware design and memory optimization in 3D systems Recent Research Trends Recent publications emphasize co-optimization techniques for PIM architectures, FHE hardware acceleration, and privacy-preserving machine learning. His work often bridges theoretical algorithm design with practical hardware implementations using novel memory technologies like ReRAM and 3D-stacked memory. Grants & Labs Engaged in cutting-edge research through collaborations on projects involving PIM accelerators and encrypted computation systems. His lab focuses on developing full-stack solutions for next-generation computing architectures.

Bo Tanمشاهده پروفایل

دانشیار

• Wireless Communications
• Signal Processing
• Machine Learning
• +۷ مورد دیگر

Bo Tan is an Associate Professor in Communications Engineering and Signal Processing at the Department of Electronic and Electrical Engineering, University College London (UCL). He previously held positions as Associate and Assistant Professor at Tampere University, Finland, where he retains a Docent title. His research focuses on radio signal processing, wireless communications, integrated sensing and communication (ISAC), machine learning applications in healthcare, and radar systems. He has coordinated major projects such as ANCHOR (Horizon Europe MSCA Doctoral Networks) and SPHERE-DNA (Finland Research Council), and serves as an Associate Editor for IEEE Wireless Communications Letters. Education: PhD in Engineering, University of Edinburgh (United Kingdom) Postdoctoral Researcher roles at: University College London (Computer Science & Electronic Engineering) University of Bristol (Electrical and Electronic Engineering) Research Interests: Wireless communication systems (5G/6G, THz, mmWave) Radar-communication integration and dual-functional systems Machine learning for signal processing and healthcare Integrated sensing and communication (ISAC) architectures Non-invasive healthcare monitoring via passive sensing Key Projects (2021–2025): ANCHOR (2025–2029): Research Coordination Committee lead SPHERE-DNA (2021–2024): PI focusing on federated learning for eHealth ACCESS (2021–2025): PI on wireless network security DIOR (2022–2027): Coordinator for H2020 MSCA Professional Roles: Vice Chair, IEEE Finland AP/ED/MTT Chapter Reviewer for IEEE/ACM/IET journals Labs/Teams: Leading the SPHERE-DNA initiative on privacy-preserving healthcare systems Active contributor to the IEEE's wireless communication standards

Amila Akagicمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۱۵ مورد دیگر

Prof. Amila Akagic is an Associate Professor at the Department of Computer Science and Informatics, Faculty of Electrical Engineering, University of Sarajevo. Her expertise spans Computer Architecture , Artificial Intelligence , Computer Vision , and High-Performance Computing . She holds a Ph.D. from Keio University (Amano Lab) and has conducted research at UC Riverside and the University of Ljubljana under prestigious scholarships including the Fulbright and MEXT awards. Her work focuses on FPGA-accelerated algorithms, reconfigurable architectures, and deep learning applications in medical imaging and environmental monitoring. Education: Bachelor's/Master's (Electrical Engineering) – University of Sarajevo (2006/2009) Ph.D. (Computer Science) – Keio University, Japan (2013) Research Interests: Combines image segmentation , embedded systems , and energy-efficient computing . Recent work includes semantic tumor segmentation (MRI), blockchain-based UXO tracking, and FPGA-based CRC acceleration. She explores interdisciplinary topics like AI-driven plant phenotyping and wildfire detection using computer vision. Recent Trends in Publications: Over 40% of her 2023-2025 articles address medical imaging and fire detection , with growing emphasis on explainable AI and humanitarian technology . Her work frequently uses frameworks like OpenVINO and TensorFlow to optimize computational efficiency. Awards: Fulbright Visiting Student Award (2007/2008) MEXT Scholarship (Japan, 2010) Grants & Labs: Active in the HiPEAC project (EU Horizon Europe), focusing on edge computing and smart grid resilience. Collaborates with the Embedded Systems and Architectures Lab (UC Riverside) and Amano Lab (Keio University). Labs/Teams: Leads research groups in FPGA-accelerated architectures and AI-driven environmental sensing. Engages in humanitarian demining initiatives via data observatories and blockchain systems.

• Wireless Communications
• Signal Processing
• Machine Learning
• +۳ مورد دیگر

Hongliang Zhang is a faculty member at Peking University, School of Electronics , specializing in wireless communications and next-generation networks. His work spans reconfigurable intelligent surfaces (RIS), holographic MIMO, and meta-material-based sensing. Research Focus: 6G wireless systems, integrated sensing and communication (ISAC), beamforming optimization, and anti-jamming techniques. Recent Trends: Integration of large language models in aerial edge computing, generative AI for radio map benchmarks, and security frameworks for vehicular metaverses.

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.