جستجوی استاد راهنمای دانشگاهی

Professor Yanming Feng is a Professor in the School of Computer Science at Queensland University of Technology (QUT), Australia. He holds a PhD in satellite geodesy and spatial science from Wuhan Technical University of Surveying and Mapping (now Wuhan University). His research focuses on data science, GNSS algorithms, geodetic data analytics, IoT, vehicular networks, and machine learning applications. He has led major projects under ARC grants and CRC programs, including roles in the Cooperative Research Centre for Satellite Systems (CRCSS) and Automotive CRC. Education: PhD, MSc, BSc (Wuhan University) Teaching: Networks security, wireless mobile networks, spacecraft dynamics Key Research: GNSS positioning, space debris monitoring, IoT systems for environmental monitoring Leadership: Editor-in-Chief of Journal of Global Positioning Systems (2009-2013), Editorial Board member of 'Engineering' (Chinese Academy of Engineering) Industry Collaboration: Partnerships in spatial information, intelligent transport, and manufacturing sectors Research interests include millimetre-precision positioning, geodetic data analytics via machine learning, and vehicular safety applications. He has supervised ~24 HDR students and leads teams in projects like real-time satellite monitoring of river flows and IoT-based landslide detection. Major articles span GNSS time series modeling (2022), machine learning for orbit prediction (2020), and vehicular network synchronization (2018). His work bridges academic innovation with industrial needs in precision positioning and smart systems. Current Supervision: Projects include GNSS-based soil settlement analysis and satellite network controllers Completed Supervisions: Over 20 PhD topics in GNSS ambiguity resolution, vehicular safety, and deformation monitoring Labs/Teams: Active in QUT's Centre for Data Science and CRC initiatives for satellite systems and spatial information.

• Global Navigation Satellite Systems (GNSS)
• Geodetic Data Analytics
• Internet of Things (IoT)
• +۵ مورد دیگر

Miguel Pardal is an Assistant Professor at the Instituto Superior Técnico, Universidade de Lisboa, where he has been teaching since 2002. His research focuses on Cybersecurity, IoT, and Cloud Technologies, with recent projects exploring Blockchain technologies (launched in 2023) and intrusion recovery systems. He is also affiliated with INESC-ID, a leading research institution in Lisbon. Education: Licenciatura em Engenharia Informática, Instituto Superior Técnico (2000) Mestrado em Engenharia Informática, Instituto Superior Técnico (2006) Research Interests: Cybersecurity, IoT Security, Cloud Infrastructure, Intrusion Detection and Recovery, Blockchain Applications, and Secure Communication Protocols. His work emphasizes practical solutions for critical systems, including industrial process specifications and decentralized identity management. Recent Articles: Focus on intrusion recovery mechanisms, decentralized systems, and secure communication protocols. Key themes include vulnerability-tolerant TLS, fault-tolerant microservices, and AI-driven algorithm synthesis. Awards: None explicitly listed, though his extensive publication record reflects recognition in cybersecurity and IoT fields. Advising & Grants: Active in guiding students through workshops on LaTeX and research methodologies. Collaborates on EU-funded projects like SafeWalk and CrossCity location proofs. INESC-ID provides infrastructure for his lab-based research. Labs/Teams: Part of INESC-ID's Cybersecurity group, contributing to projects like SPATIO and MACHETE.

• Cybersecurity
• Internet of Things (IoT)
• Cloud Technologies
• +۵ مورد دیگر

Stavros Toumpis is an Associate Professor at the Department of Informatics, Athens University of Economics and Business (AUEB). He previously held positions as a Lecturer at the University of Cyprus (2005–2009) and Senior Researcher at Telecommunications Research Center Vienna (2003–2005). He earned his Diploma in Electrical and Computer Engineering from the National Technical University of Athens (1997) and M.S./Ph.D. degrees in Electrical Engineering and Mathematics from Stanford University (1999–2003). His research focuses on wireless networks, including capacity bounds, cross-layer design, routing protocols, and emerging technologies like delay-tolerant networks, vehicular networks, and sensor networks. He employs tools from probability and optimization theory. Notable projects include the MMLAB (Mobile and Multimedia Lab) and FogSpot, a framework for edge/fog computing pricing. His work spans theoretical and experimental studies, with contributions to network performance analysis, interference modeling, and protocol optimization. Recent research emphasizes delay-tolerant networks, network capacity estimation via digital twins, and hybrid IP-ICN architectures. Key Areas: Multihop wireless networks, DTNs, sensor networks, network economics. Labs/Teams: Member of the MMLAB at AUEB.

• Wireless Networks
• Delay-Tolerant Networks
• Sensor Networks
• +۷ مورد دیگر

Professor Ali Babar is a faculty member in the School of Computer and Mathematical Sciences at the University of Adelaide, part of the Faculty of Sciences, Engineering and Technology. He holds the academic rank of Professor and leads research in secure software systems, cyber security, and emerging technologies like cloud computing and IoT. Research focuses include engineering secure software systems, applying AI/ML for security, and empirical methods in software engineering. His work has resulted in over 320 peer-reviewed publications (h-index 66) and contributions to high-impact projects like the Cyber Security Cooperative Research Centre (CSCRC), a A$140M initiative. Collaborations span industry/government partners such as DST Group, ActewAGL, and Cisco. Awards include the 2014 Most Influential Paper Award at the Australasian Software Engineering Conference. His research addresses critical areas like secure microservices, ML model decay mitigation, and privacy engineering practices. Current themes include cyber security as a service and platform architectures for distributed systems. Active in supervising PhD and Master's students and participates in interdisciplinary initiatives like the Oceania Cyber Security Centre and Australian Cyber Collaboration Centre.

• Secure Software Systems
• Cyber Security
• Cloud Computing
• +۵ مورد دیگر

Erich Schikuta is an associate professor at the University of Vienna's Faculty of Computer Science and heads the Research Group Workflow Systems and Technology. He has held multiple administrative roles, including Vice Dean and Curricular Commission Head. His research focuses on Cloud Computing, Parallel/Distributed Systems, Neural Networks, and Database Systems, with over 200 peer-reviewed publications. Education: Studied Computer Science, Business Informatics, and Mathematics at the University of Technology Vienna and University of Vienna. Holds titles including Dipl.-Ing., Dr., and Berufstitel Universitätsprofessor (2009). Research interests emphasize Utility Computing, Cloud Resource Optimization, and Neural Network Simulation. Notable contributions include ranking 25th globally in Cloud Computing productivity and developing frameworks like N2Sky for neural network-as-a-service. Key awards include the 2011 Best Paper Award and 2010 Best Teacher Award. Active in international collaborations, he serves as a European Commission evaluator (FP5-FP7/H2020) and chairs program committees. Labs/Teams: Leads the Research Group Workflow Systems and Technology. Involved in projects like BIG-Business (Grid Infrastructure) and 'Änderung in kollab.Prozessen' (2011-2016).

• Cloud Computing
• Information and Database Systems
• Parallel and Distributed Computing
• +۳ مورد دیگر

Dr. Jan Friedrich is a PostDoc researcher at the Institute for Geometry and Practical Mathematics (IGPM) at RWTH Aachen University, where he is part of the research group led by Prof. Dr. Michael Herty. He is also a Principal Investigator in the DFG-funded SPP 2410 CoScaRa project focusing on nonlocal conservation laws with space-dependent nonlocalities. Previously, he completed his PhD and served as a PostDoc at the University of Mannheim under Prof. Dr. Simone Göttlich. Research Interests: Nonlocal Conservation Laws and Balance Laws Mathematical Modeling of Vehicular Traffic Numerical Analysis of PDEs High-order Numerical Schemes (Finite Volume, CWENO, Godunov) PDE-constrained Optimization Lyapunov Stabilization of PDEs Particle-based Optimization Methods The recent publications show a consistent focus on the analysis, modeling, and numerical simulation of nonlocal PDEs, especially in traffic flow applications. His work bridges theoretical analysis (existence, stabilization) with computational methods (high-order schemes, splitting algorithms) and practical applications (junctions, multilane traffic, moving obstacles). The trend indicates strong interdisciplinary engagement with engineering and applied sciences. Scientific Awards: Paired Early Career Fellowship in Applied Research (PECFAR), Indo-German Science & Technology Centre (IGSTC, BMBF), 2025 Advising and Grants: Although no direct students are listed, Dr. Friedrich has co-supervised project staff such as Anika Beckers (RWTH Aachen) and Fabian Ziegler (University of Mannheim) in the CoScaRa project. He has secured competitive funding including the DFG SPP 2410 grant and the PECFAR fellowship, demonstrating strong grant acquisition ability. He has also contributed to academic advising through teaching assistant roles and mentoring in research projects. Labs and Teams: He is an active member of the research group of Prof. Dr. Michael Herty at IGPM, RWTH Aachen. He collaborates closely with Prof. Dr. Simone Göttlich (University of Mannheim) and is co-Principal Investigator in the joint DFG project. He has also been involved in international research networks with institutions in India (IIPE), France (INRIA), and the USA (ASU).

• Nonlocal Conservation Laws
• Mathematical Modeling of Vehicular Traffic
• Mathematical and Numerical Analysis of PDEs
• +۷ مورد دیگر

Reinhold Ludwig is a Professor and Associate Head in the Department of Electrical & Computer Engineering at Worcester Polytechnic Institute (WPI). He holds a Dipl.-Ing. (MS) from the University of Wuppertal (1983) and a PhD from Colorado State University (1986). His research focuses on electromagnetic and acoustic nondestructive evaluation (NDE), MRI RF coil design, and biomedical imaging systems. As director of the Center for Imaging and Sensing (CIS), he leads projects in energy/media interaction analysis and advanced MRI technology development. Key contributions include anatomically shaped RF coils for MRI systems up to 7T, including full-body, head, and extremity imaging applications. His team has developed NDE sensing technologies and electronic circuits for clinical and pre-clinical MR scanners. Recent work explores ultra-low-power neuromorphic circuits for autonomous vehicles and AI-driven optical defect detection systems. Professional memberships include IEEE, Eta Kappa Nu, and Sigma Xi. Notable grants include a $3M NIH award (2016) for robot-assisted brain cancer treatment research. His lab also works on microwave imaging innovations, ceramic material testing, and embedded computing systems. Current projects emphasize compact neural networks for real-time NDE, non-contact electromagnetic stimulation devices for pain management, and high-resolution MRI coil optimization. Patents include multi-modal RF coils and moisture analysis systems for industrial materials.

• Electromagnetic and Acoustic Nondestructive Evaluation (NDE)
• MRI RF Coil Design
• Electromagnetic Sensors
• +۵ مورد دیگر

Dr. Imdad Ullah is a Lecturer at the School of Computer Science, The University of Sydney. He holds a PhD in Computer Science & Engineering from UNSW Sydney and has held research positions at Data61 CSIRO Australia, TU Darmstadt (Germany via Alexander von Humboldt Fellowship), and SLAC National Accelerator Laboratory. His expertise spans privacy-enhancing technologies, IoT security, blockchain, and machine learning applications in cybersecurity. **Education:** PhD in Computer Science & Engineering, UNSW Sydney (2012-2016) Bachelor/Master qualifications not explicitly listed **Research Focus:** Privacy-preserving systems for mobile advertising and IoT Blockchain frameworks for edge/fog computing environments Machine learning-driven intrusion detection systems Secure healthcare frameworks using federated learning His work emphasizes interdisciplinary collaboration, including global networks like TEIN and IEEE. **Awards:** Alexander von Humboldt Research Fellowship (2014) UNSW Tuition Fee Scholarship (2012-2016) **Teaching & Leadership:** Teaches courses in machine learning, cybersecurity, and IT strategy IEEE SPARK Coordinator (2024-2026) Member of curriculum design and exam evaluation committees **Funding:** Secured AUD millions in grants for projects like blockchain-IoT security frameworks and privacy-preserving mobile systems.

• Privacy-Enhancing Technologies
• Cybersecurity
• Internet of Things (IoT)
• +۵ مورد دیگر

Pr. Hossam AFIFI is a Professor at Telecom SudParis, affiliated with the SAMOVAR research group. His work focuses on reinforcement learning, edge computing, and IoT-enabled networks. He has contributed to optimizing autonomous UAV systems, mobile edge architectures, and 6G network technologies. His research integrates AI-driven solutions for vehicular networks, energy management in IIoT microgrids, and dynamic resource allocation in wireless systems. With a prolific publication record since 1992, his work emphasizes network optimization, cybersecurity, and smart infrastructure design. Key areas include UAV-assisted communications, intelligent reflecting surfaces (IRS), and resilient IoT frameworks.

• Reinforcement Learning
• Edge Computing
• IoT (Internet of Things)
• +۵ مورد دیگر

Nesrine KAANICHE is a Lecturer at Telecom SudParis, affiliated with the SAMOVAR research center. Her work focuses on cybersecurity, privacy-preserving technologies, and cloud computing security. She has contributed to numerous publications addressing topics such as federated learning fairness, 6G network security, blockchain-based auditing, and IoT privacy. Her research emphasizes practical solutions for data protection and secure communication in distributed systems. Education : Ph.D. in Cryptography and Security from the National Institute of Telecommunications (2014), with a thesis titled Cloud data storage security based on cryptographic mechanisms . Key Research Themes : Federated Learning : Developing frameworks like FADE to ensure fairness and privacy in decentralized machine learning. 6G Networks : Proposing zero-trust architectures and secure protocols for next-generation communication systems. Blockchain Applications : Designing BDUA and other systems for transparent data usage auditing. Privacy-Preserving Protocols : Innovations like PIMA and SPOT for identity management and e-healthcare systems. Recent Contributions : Over 30 peer-reviewed articles since 2013, including work on intrusion detection systems, homomorphic proofs for data integrity, and secure cloud storage mechanisms. Her 2025 papers address cutting-edge challenges in federated learning fairness and AI-driven anomaly detection.

• Cybersecurity
• Cloud Computing Security
• Privacy-Preserving Technologies
• +۵ مورد دیگر

Prof. Hassine Moungla is a Lecturer at Telecom SudParis, associated with the SAMOVAR research institute and the NeSS group. His research focuses on wireless networks, edge computing, reinforcement learning, IoT systems, vehicular networks, and machine learning applications in network optimization. He has contributed to over 50 publications since 2004, addressing topics such as UAV-assisted networks, intelligent reflecting surfaces (IRS), and blockchain-based network slicing. Education: PhD in Computer Science (focus on network management and policy-based systems). Key Research Themes: Edge computing architectures, reinforcement learning for network optimization, IoT mobility management, and vehicular networks. His work often intersects with industry challenges in 5G/6G, smart cities, and autonomous systems. Notable projects include optimizing UAV deployment using deep learning and developing anomaly detection mechanisms for mobile networks. Grants & Collaborations: Active in EU-funded projects on edge computing and has collaborated with institutions like INRIA and the University of Paris-Saclay.

• Wireless Networks
• Edge Computing
• Reinforcement Learning
• +۳ مورد دیگر

Paulo Rogério Barreiros D'Almeida Pereira is an Assistant Professor at the Department of Electrical and Computer Engineering at Instituto Superior Técnico, Universidade de Lisboa. He holds a PhD in Electrical and Computer Engineering from the same institution (2003), following a MSc (1994) and BSc (1991) in the same field. His academic roles include teaching courses such as 'Arquitectura e Gestão de Redes' and 'Programação'. Institution: Universidade de Lisboa (IST) Department: Departamento de Engenharia Electrotécnica e de Computadores His research focuses on computer networks, including vehicular networks, delay-tolerant networks (DTN), IoT, and cyber-physical systems. He leads projects at INESC INOV-Lab, emphasizing practical applications in smart grids and vehicular communication. Key research interests include: Routing protocols for DTN and vehicular environments Network security and privacy preservation Quality of Service (QoS) optimization Edge computing and monitoring systems Recent work highlights: Development of location-based and congestion-aware routing schemes Privacy-enhanced protocols for vehicular networks Co-simulation frameworks for smart grid protection systems Awarded the ITST 2011 Best Paper Award for contributions to vehicular DTN fragmentation mechanisms. Active contributor to EuroNF and IEEE initiatives, with over 50 publications in peer-reviewed venues. Lab affiliations: INESC INOV-Lab (Researcher), with interdisciplinary collaborations in telecommunications and cyber-physical systems.

• Computer Networks
• Wireless Sensor Networks
• Delay-Tolerant Networks
• +۴ مورد دیگر

Dr. Yao Sun is a Lecturer at the University of Glasgow, specializing in wireless communication and networking. His research focuses on semantic communications, machine learning applications, wireless blockchain systems, vehicular networks, IoT, and resource allocation in next-generation mobile networks. He has been recognized with prestigious awards, including the IEEE TAOS Best Paper Award (2019) and IEEE IoT Journal Best Paper Award (2022). Dr. Sun actively contributes to the academic community as a reviewer, conference organizer (e.g., TPC Chair for UCET 2021), and journal editor. His work spans cutting-edge topics like AI-driven semantic frameworks, blockchain-empowered security, and reinforcement learning-based optimization. Collaborations with industry and academia highlight his commitment to advancing 5G/6G technologies. Current research emphasizes integrating AI, edge computing, and blockchain to enhance network efficiency and resilience. Awards: IEEE Communication Society TAOS Best Paper Award (2019 ICC) IEEE IoT Journal Best Paper Award (2022) Best Paper Award at 22nd ICCT (2022) Professional Roles: TPC Chair: UCET 2021 Guest Editor: Digital Communications and Networks Reviewer: IEEE Transactions on Wireless Communications, IEEE Communications Letters

• Semantic Communications
• Machine Learning Applications in Wireless Networks
• Wireless Blockchain Systems
• +۵ مورد دیگر

Dr Shahedur Rahman is a Senior Lecturer in Computer Science at Middlesex University , with extensive contributions to telecommunications engineering, image processing, and bioinformatics. His research focuses on wireless network optimization, perceptual distortion metrics for video coding, and molecular biology database integration. Research Interests : Interference management in LTE/5G networks Perceptual quality assessment in multimedia systems Computer vision for accessibility and mobility aids Integration of biological and medical databases Wavelet-based image compression Genomic data analysis Selected Scientific Publications highlight trends in: Dynamic channel allocation techniques for LTE networks SSIM/SATD hybrid distortion metrics Gene mutation data modeling Image processing for visual impairment assistance Database interoperability in medical systems Optimization algorithms for hardware systems

• Computer Science
• Telecommunications Engineering
• Mobile and Wireless Networks
• +۳ مورد دیگر

James Irvine is a Reader in the Department of Electronic and Electrical Engineering at the University of Strathclyde, Faculty of Engineering. He is actively involved in research and teaching, with a focus on wireless communications, resource management, and security. He serves as Course Director for the joint Computer and Electronic Systems degree and has extensive leadership roles in IEEE, including Vice-President for Publications of the IEEE Vehicular Technology Society. His research interests include: Radio Resource Management Error Control Coding Wireless System Design (3G to 5G) Wireless Sensor Networks Security Protocols for Wireless Networks Communications for Power Networks Privacy and Cyber Security His recent publications reflect a strong trend toward secure, efficient communication in smart grids and industrial networks, with applications in teleprotection, cloudlets, and bandwidth-constrained environments. He has led and contributed to numerous research projects involving smart infrastructure, 5G, and assistive technologies. His scientific awards include: UBICOMM - Best Paper Award (2011) IEEE Distinguished Lecturer (2011) He has supervised multiple PhD students and is currently accepting new PhD candidates. His research is supported by grants from Energy Networks Association, Scottish Funding Council, and other public and private partners. He is a co-investigator in major projects such as DEFGRID, CAELUS 2, and ReDI, focusing on digital resilience and secure infrastructure. He is affiliated with the StrathCyber initiative and contributes to innovation through the PNDC (Power Networks Demonstration Centre), where he participates in knowledge exchange and technology validation forums.

• Wireless Communications
• Radio Resource Management
• Error Control Coding
• +۱۲ مورد دیگر