جستجوی استاد راهنمای دانشگاهی

Jens Groth is an Honorary Professor at the Department of Computer Science, University College London (UCL), and serves as Chief Scientist at Nexus. His primary research focuses on cryptography, with an emphasis on cryptographic protocols, zero-knowledge proofs, and privacy-preserving technologies. Groth has contributed significantly to advancements in digital signatures, homomorphic encryption, and secure multi-party computation. He holds a leadership role as Program Chair for the 15th IMA International Conference on Cryptography and Coding (2015) and has been a key figure in shaping modern cryptographic standards. His work often bridges theoretical foundations with practical implementations, emphasizing efficiency and security. Groth's research interests include but are not limited to: cryptographic protocol design, lattice-based cryptography, and the application of zero-knowledge proofs in real-world systems such as blockchain and voting systems. His publications span venues like CRYPTO, EUROCRYPT, and ASIACRYPT, reflecting his impact on the field. Notably, he advocates for open access to research and has contributed to strategies ensuring conferences adopt de facto open-access policies. His current focus at Nexus centers on verifiable computation and distributed cryptographic systems.

• Cryptography
• Cryptographic Protocols
• Zero-Knowledge Proofs
• +۵ مورد دیگر

Dr. Ciara Rafferty is a Senior Lecturer at Queen's University Belfast's School of Electronics, Electrical Engineering and Computer Science, affiliated with the Centre for Secure Information Technologies. She leads research in advanced cryptography, focusing on post-quantum systems, homomorphic encryption, and hardware acceleration. Her work includes quantum-safe cryptography projects like the UK Quantum Communications Hub and AQuASeC (Innovate UK). She co-teaches CSC2056 - Systems Security and Cryptography and actively supervises PhD students. Dr. Rafferty is a Senior Member of IEEE and an EPSRC SPRITE+ Expert Fellow. Research Interests: Homomorphic Encryption Post-Quantum Cryptography Cryptographic Hardware Architectures Privacy-Preserving Technologies Side-Channel Attack Mitigation Key Projects: UK Quantum Communications Hub (Phase 2) SAFEcrypto (H2020 Project) AQuASeC (Toshiba Europe-funded) SEQURED (Rolls Royce-funded) Awards: Senior Member of IEEE EPSRC SPRITE+ Expert Fellow Advising & Grants: PhD Supervision: Shabnam K (Secure Cloud Computation) Funding: EPSRC, Innovate UK, Industry Partners Lab/Teams: Centre for Secure Information Technologies (CSIT), collaborating on hardware-accelerated cryptography and quantum-safe systems.

• Applied Cryptography
• Post-Quantum Cryptography
• Homomorphic Encryption
• +۴ مورد دیگر

Rafail Ostrovsky is the Norman E. Friedman Chair in Knowledge Sciences at UCLA Samueli School of Engineering, where he serves as a Distinguished Professor of Computer Science and Mathematics. He also directs the Center for Information and Computation Security at UCLA. His academic leadership extends to his role as a foreign member of Academia Europaea and his fellowship in multiple prestigious organizations including the National Academy of Inventors, AAAS, ACM, IEEE, and IACR. Professor Ostrovsky's research spans multiple domains in theoretical computer science, with primary focus on cryptography, secure computation, and algorithms. His work on garbled circuits, zero-knowledge proofs, and private information retrieval has had significant theoretical and practical impact. He has pioneered research in secure multi-party computation, oblivious RAM, and cryptographic protocols that maintain privacy while enabling complex computations on sensitive data. His research bridges theoretical foundations with practical applications in secure systems, ranging from database security to hardware-based cryptographic primitives. Ostrovsky's publication record shows a consistent trajectory of innovation in cryptographic theory and its applications. His recent work focuses on optimizing secure computation protocols for efficiency while maintaining strong security guarantees, with particular attention to communication complexity, round complexity, and practical implementations. He has made significant contributions to homomorphic encryption, non-malleable commitments, and zero-knowledge proofs, often developing techniques that transform theoretical constructs into practically viable solutions. 1993 Henry Taub Prize 2017 IEEE Computer Society Edward J. McCluskey Technical Achievement Award 2018 RSA Award for Excellence in Mathematics (RSA Prize) 2022 W. Wallace McDowell Award (highest award from IEEE Computer Society) Fellow of National Academy of Inventors, AAAS, ACM, IEEE, and IACR Foreign member of Academia Europaea With over 350 peer-reviewed publications and 16 issued USPTO patents, Professor Ostrovsky has significantly shaped the field of cryptography and secure computation. His mentorship has cultivated numerous students and postdocs who have gone on to make their own contributions to the field. His editorial roles on prestigious journals including Journal of ACM and Algorithmica reflect his standing in the theoretical computer science community. His leadership extends to chairing major conferences including FOCS 2011 and serving on over 40 international conference program committees. As Director of the Center for Information and Computation Security at UCLA, Professor Ostrovsky leads a team focused on advancing the theoretical foundations and practical applications of secure computation. His center serves as a hub for interdisciplinary research connecting cryptography with systems security, network protocols, and hardware security. The center's work spans from foundational cryptographic primitives to real-world applications requiring privacy-preserving computation.

• Cryptography
• Secure Computation
• Garbled Circuits
• +۷ مورد دیگر

Martin Albrecht is a Professor of Cybersecurity and Chair of Cryptography in the Department of Informatics at King's College London, Faculty of Natural, Mathematical & Engineering Sciences. He is also a Principal Research Scientist for SandboxAQ, demonstrating his strong industry-academia connections in the cybersecurity field. His research focuses on lattice-based cryptography, post-quantum cryptography, applied cryptography, social foundations of cryptography and information security, and computational mathematics. Albrecht's work bridges theoretical cryptography with practical security concerns, examining cryptographic implementations 'in the wild' and addressing vulnerabilities in widely used communication platforms like WhatsApp, Telegram, and Matrix. His Erdős–Bacon Number is 6, reflecting his interdisciplinary connections. Recent publications reveal a strong trend toward practical cryptographic analysis of real-world systems while advancing theoretical foundations of post-quantum cryptography. His work spans from breaking end-to-end encryption implementations to developing new lattice-based cryptographic primitives resistant to quantum computing threats. Much of his recent research addresses the urgent need for quantum-resistant cryptography as demonstrated by his European-funded project developing algorithms to protect data encryption against future quantum computers. IEEE Symposium on Security and Privacy distinguished paper award (2023) for work revealing security vulnerabilities in popular chat platforms Major European funding (2023) for advancing encryption technology against quantum computing threats Professor Albrecht leads the Cybersecurity research group at King's which studies design, modeling, analysis, verification and testing of networks and systems, and is part of the Security Hub that consolidates security-related research. His work has demonstrated critical vulnerabilities in widely used platforms including WhatsApp, Matrix, and Nextcloud, with findings reported as recently as July 2025 regarding WhatsApp's persistent vulnerabilities. He has supervised numerous PhD students and maintains active collaborations across the cryptographic research community. Through his open-source projects including FPLLL, FPyLLL, G6K, Lattice Estimator, M4RI, and M4RIE, Albrecht has made significant contributions to the cryptographic tools ecosystem, providing researchers and practitioners with essential resources for lattice-based cryptography and computational mathematics.

• Lattice-based cryptography
• Post-quantum cryptography
• Applied cryptography
• +۳ مورد دیگر

Dr. Giulia Rubino is a Royal Commission 1851 Fellow and Proleptic Lecturer in the School of Physics at the University of Bristol. Her academic credentials include a BSc, MSc, and PhD, establishing her expertise in quantum physics and related disciplines. She maintains an active research presence with numerous publications and collaborations across international institutions. Dr. Rubino's educational background, though not detailed in specific institutions, demonstrates a strong foundation in physics through her BSc, MSc, and PhD qualifications. Her career progression has led to her current prestigious position at the University of Bristol, where she contributes significantly to quantum research. Her research program spans three interconnected pillars: Indefinite Quantum Causality , where she explores how causal structures might need to be both dynamic (as required by general relativity) and indefinite (due to quantum theory); Integrated Photonics Technologies , where she applies quantum optics principles to develop sophisticated photonic circuits; and Quantum Thermodynamics , where she addresses fundamental questions about defining work in quantum systems. Her work on indefinite causal structures challenges conventional space-time understanding, with significant implications for both foundational physics and quantum information processing. In experimental physics, she bridges quantum foundations and technologies through state-of-the-art photonic implementations. Her theoretical contributions to quantum thermodynamics address critical gaps in understanding work definitions for nanoscale quantum devices. Dr. Rubino's publication record reveals a clear research trajectory focused on quantum foundations and information processing. Her most recent work (2024-2025) shows increasing sophistication in quantum thermodynamics and causal structure experiments, with notable papers on quantum work fluctuation frameworks and quantum key distribution. The consistent theme across her publications is the exploration of quantum phenomena that challenge classical notions of causality, time, and thermodynamics, often with practical applications to quantum technologies. Her scientific recognition includes the prestigious Royal Commission 1851 Fellowship , awarded to exceptional early-career researchers with potential for significant contributions to their fields. This fellowship supports her innovative research at the University of Bristol and recognizes her standing in the quantum physics community. While specific student names aren't listed in the available information, Dr. Rubino's position as Lecturer suggests active involvement in mentoring graduate students. Her collaborative research approach is evident in her numerous co-authored publications with researchers from multiple institutions, indicating strong research networks. Her grant portfolio likely includes the Royal Commission fellowship and potentially other research council funding supporting her quantum physics investigations. Dr. Rubino is affiliated with the Quantum Engineering Technologies and Theoretical Physics research groups at the University of Bristol. Her work contributes to the university's strong reputation in quantum information science, particularly in the experimental realization of quantum phenomena that challenge conventional understanding of space-time and thermodynamics. She appears to be involved in sophisticated photonic circuit development and quantum information processing experiments that require specialized laboratory facilities.

• Indefinite Quantum Causality
• Integrated Photonics Technologies
• Quantum Thermodynamics
• +۵ مورد دیگر

Dr. Baraq Ghaleb is an Associate Professor within the Centre for Distributed Computing, Networks and Security at Edinburgh Napier University's School of Computing Engineering and the Built Environment. He actively delivers and leads modules for both Undergraduate and Postgraduate programs in the Cyber Security and Systems Engineering subject group. Dr. Ghaleb earned his PhD from Edinburgh Napier University in June 2019, following completion of his MSc and BSc degrees. His academic journey has positioned him as an expert in cybersecurity and IoT technologies. His research focuses on investigating security vulnerabilities of Internet of Things standards and utilizing cutting-edge advancements to address these vulnerabilities. With expertise spanning Cyber Security, Internet of Things, Blockchain, and Machine Learning, Dr. Ghaleb bridges theoretical research with practical applications, particularly in securing IoT ecosystems. His recent work shows a clear progression from foundational networking research to contemporary security challenges involving blockchain, cryptography, and AI-enhanced security solutions. Dr. Ghaleb has secured significant research funding as Principal Investigator and Co-Investigator across multiple projects with a total budget of approximately £435,000. His externally funded projects include SafeNet (Carnegie Trust), Trusted Threat Sharing (Innovate UK), TruElect (Innovate UK), and LastingAsset (Innovate UK). He currently supervises numerous PhD students working on diverse security challenges: Blockchain-based Privacy-preserving Cybersecurity Intelligence Sharing (Elfatih Ahmed) Enhancing Security and Privacy of Blockchain-based Healthcare Systems (Faneela) Design of complex encryption schemes for IoT security (Shahbaz Khan) Intelligent and Privacy-Preserving Security Solutions for IoT Networks (Iain Baird) Dr. Ghaleb is affiliated with the Centre for Distributed Computing, Networking and Security and the Centre for Cybersecurity, IoT and Cyberphysical Systems, where he contributes to cutting-edge research in secure network architectures, cryptographic techniques, and privacy-preserving frameworks across multiple domains including automotive supply chains, healthcare systems, and environmental monitoring.

• Cyber Security
• Internet of Things
• Blockchain
• +۴ مورد دیگر

Prof. Máire O'Neill is a Professor of Information Security at Queen's University Belfast, leading the Centre for Secure Information Technologies and the UK Research Institute in Secure Hardware and Embedded Systems (RISE). She holds a MEng and PhD from Queen's University Belfast under Prof. Sir John McCanny. Her work focuses on hardware security, including attack-resilient computer hardware, PUFs, post-quantum cryptography, and secure embedded systems. Notable achievements include a six-fold improvement in AES hardware efficiency and patented PUF techniques addressing counterfeiting. Key roles include EPSRC Leadership Fellowship and Royal Academy of Engineering Fellowship. Research interests span hardware security architectures, nanotechnology-based security, and quantum-resistant cryptography. Awards include Royal Irish Academy membership, Irish Academy of Engineering Fellowship, and British Female Inventor of the Year. Recent projects include the EU H2020 SAFEcrypto initiative for post-quantum encryption and TruDetect for hardware Trojan detection. She advises on cybersecurity for IoT and connected devices, emphasizing secure manufacturing and long-term system resilience against quantum threats. Labs/Teams: Principal Investigator at the Centre for Secure Information Technologies (CSIT) and RISE. Active in multi-national collaborations like the EU's SAFEcrypto. Supervised over 8 PhD students (details in full description). Grants include funding from EU H2020, EPSRC, and industry partnerships.

• Hardware Security
• Data Security Architectures
• Computer Arithmetic
• +۵ مورد دیگر

Jawad Ahmad is a Lecturer in the School of Computing, Engineering and the Built Environment at Edinburgh Napier University . His work is closely associated with the Centre for Cybersecurity, IoT and Cyberphysical Systems and the Centre for Distributed Computing, Networking and Security , where he contributes to cutting-edge research in secure and intelligent systems. His research interests are centered on cybersecurity , artificial intelligence , and Internet of Things (IoT) technologies. He focuses on developing advanced intrusion detection systems, privacy-preserving frameworks using federated learning and homomorphic encryption, and secure data transmission mechanisms leveraging chaos-based and quantum-inspired encryption. His interdisciplinary work extends to healthcare, smart agriculture, and environmental monitoring, demonstrating the broad applicability of his research. The analysis of his recent publications reveals a strong trend toward AI-driven security solutions, particularly using deep learning models like transformers and attention mechanisms for network intrusion detection. He also explores the integration of machine learning with blockchain and distributed ledgers for trusted threat intelligence sharing. His work consistently emphasizes real-world deployment, performance optimization, and resilience against cyber threats in industrial and healthcare settings. Funded Research Projects: Data Sharing in Highly Secure Environments (Innovate UK, £273,181) PhD Studentship on Homomorphic Encryption (6G Health Institute GmbH, £35,082) TrustShare: Privacy-Preserving Threat Intelligence Sharing (Innovate UK, £31,386) Cyber Hunt: Automated Cyberthreat Hunting (Norway Research Council, £37,500) AI Dashboard for COVID-19 Sentiment Analysis (Chief Scientists Office, £135,104) Dr Ahmad actively supervises postgraduate research, currently serving as Director of Studies for Hisham Ali and as second supervisor for other PhD candidates. He is involved in multiple collaborative research teams focusing on cybersecurity, AI, and IoT, often working with Prof Bill Buchanan and other leading researchers in the field. His research is published in high-impact journals such as IEEE Access , Frontiers in Computational Neuroscience , and Sensors , and presented at international conferences.

• Cybersecurity
• Internet of Things (IoT)
• Artificial Intelligence (AI)
• +۱۲ مورد دیگر

Dr. Francisco J. Aparicio Navarro serves as Associate Professor in Cyber Security and Programme Leader for BSc/MSc Digital Technology Solutions Degree Apprenticeships at De Montfort University's School of Computer Science and Informatics. An expert in Computer Network Security and Intrusion Detection Systems, his research develops novel unsupervised detection frameworks integrating Contextual Information and Situational Awareness for cyber-attack identification in networked environments. His research spans Network Security, Machine Learning, and Cyber Situational Awareness with specialized expertise in Penetration Testing, Cyber Threat Intelligence, and Incident Response. Key contributions include statistical approaches for multi-stage attack detection, data fusion techniques for anomaly identification, and security solutions for Connected Autonomous Vehicles developed in partnership with Airbus. His work bridges theoretical advances in cryptographic protocols with practical defense mechanisms for critical infrastructure. Recent publications demonstrate evolving focus from foundational wireless intrusion detection (2017-2018) toward sophisticated APT prediction using machine learning correlation analysis (2018-2019), vehicle cybersecurity (2019-2020), and emerging areas like medical imaging watermarking (2023) and lightweight cryptographic solutions (2024-2025). Cross-cutting themes include contextual information integration, IoT privacy compliance, and distributed authentication mechanisms. Scientific recognition includes: Fellowship of the Higher Education Academy (FHEA) He currently supervises PhD candidates Tareq Ahmad Alhajahjeh (Cyber Threats Intelligence using BRNN-LSTM) and Ademola Elijah Owaraye (Zero-Trust Security in Fog Computing), following successful completion of Dr. Raphael Martin Juergen Riebl's thesis on Vehicular AdHoc Networks. Research funding includes Innovate UK projects SACRED (Co-Investigator), INSURE Phases 1-2 (Principal Investigator), and FLOURISH (Co-Investigator with Airbus), alongside EPSRC/Dstl collaborations on networked battlespace security. As Director of the Cyber Security Academic Startup Accelerator Programme, he fosters industry-academia partnerships while maintaining active consultancy in penetration testing and incident response for commercial clients.

• Network Security
• Intrusion Detection Systems
• Cyber Situational Awareness
• +۱۰ مورد دیگر

Prof. Xiong Zehui is a Full Professor at the School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast. He leads the iConnect Lab, focusing on intelligent computing and networking innovations. His research spans wireless networks, IoT, edge intelligence, semantic communications, generative AI, and the Metaverse. Education includes a PhD in Computer Science and Engineering from Nanyang Technological University (Singapore). He has held visiting roles at Princeton University and the University of Waterloo. Recognized in Forbes Asia 30U30, he serves as editor for flagship journals like IEEE Journal on Selected Areas in Communications and chairs international conferences. Research interests emphasize scaling intelligent systems, network efficiency, and secure connectivity. Over 250 peer-reviewed papers and numerous best paper awards highlight his impact. Awards include the IEEE Asia Pacific Outstanding Young Researcher Award and IEEE VTS Early Career Award. Labs/Teams: iConnect Lab (Intelligent Computing and Networking Innovation Lab) PhD supervision focus: Edge Generative AI, Mobile On-device LLM, Semantic Networking

• Wireless Networking
• Internet of Things
• Edge Intelligence
• +۵ مورد دیگر

Bruno Gallotta is a Lecturer in Operations and Business Technology Management at the University of Derby's College of Business, Law and Social Sciences. His research focuses on sustainability integration in business processes, particularly supporting Small and Medium Enterprises (SMEs) in adopting pro-environmental practices and transitioning towards net-zero goals. Gallotta has collaborated extensively on regional sustainability initiatives, including studies on clean growth trends in the East Midlands and innovation dynamics in São Paulo's SME sector. He holds a PhD from the University of Derby (2018) titled 'Implementing Sustainability Initiatives in Business Processes,' which explored frameworks for embedding environmental considerations into organizational operations. His work bridges business strategy, digital transformation, and environmental policy, with emphasis on place-based enterprise support systems. Research outputs emphasize conceptual frameworks for SME sustainability transitions, net-zero performance measurement systems, and the role of business networks in environmental growth. His 2024 studies highlight digital transformation's role in achieving net-zero metrics and unlocking SME potential through structured enterprise support. Earlier work includes analysis of low-carbon workforce skills gaps and application of Delphi methodologies in validating sustainability frameworks. Awards and grants: No explicit awards noted, but his research has been funded through institutional projects like the D2N2 Low Carbon Sector Study. He collaborates with local and regional governments on policy-implementation strategies. Labs/Teams: Active in the University of Derby's sustainability research group, contributing to interdisciplinary projects on green growth and enterprise development.

• Sustainability
• Sustainable Business Practices
• Small and Medium Enterprises (SMEs)
• +۵ مورد دیگر

Christian Weinert is a Lecturer in Information Security at the Department of Information Security, Royal Holloway, University of London. He previously held postdoctoral and doctoral research positions at TU Darmstadt's ENCRYPTO group. His research focuses on privacy-preserving protocols, secure communication, and large-scale data protection. He is a Fellow of the Higher Education Academy (FHEA) and has contributed to ISO/IEC standards through his BSI committee involvement. Education: PhD in Computer Science (TU Darmstadt, 2021), M.Sc. (TU Darmstadt, 2016), B.Sc. (TU Darmstadt, 2013). Research interests include secure long-term archiving, federated learning privacy, and cryptographic protocols. He teaches modules like Advanced Cryptography and Digital Forensics, and leads the Cryptography Group at Royal Holloway. Notable awards include the German IT-Security Award (2020) for ContactGuard, a Runner-up Distinguished Paper Award (IEEE SaTML'24), and a Noteworthy Reviewer Award (USENIX Security 2023). He advises PhD students Sophie Hawkes, Katy Lambert, Tabitha Ogilvie, and Simon Pohmann. His work spans 31 publications, including top-tier venues like USENIX Security, EuroCrypt, and ACM CCS.

• Privacy-Preserving Technologies
• Cryptography
• Secure Communication
• +۳ مورد دیگر

Bill Buchanan is a Professor at the School of Computing Engineering and the Built Environment, Edinburgh Napier University, and a member of the Centre for Algorithms, Visualisation and Evolving Systems. His work spans Information Visualization , Software Systems , Cybersecurity , and AI , focusing on innovative solutions for complex data challenges. Research Interests: Information visualization for hierarchical data, cybersecurity frameworks, machine learning in industrial IoT, and post-quantum cryptographic systems. Projects: Supervised PhD projects on visualizing overlapping classification hierarchies and biological network inference. Currently leads research in AI-driven human-robot interaction and secure Dockerized architectures. Publications: 15+ recent works on quantum agents, GANs for anomaly detection, homomorphic encryption, and advanced cryptographic techniques. Collaborations: Engages with biologists, AI researchers, and cybersecurity experts across institutions.

• Information Visualization
• Software Systems
• Cybersecurity
• +۳ مورد دیگر

Dr. Saeed Adelipour is a Research Fellow at Salford Business School, University of Salford, specializing in Multi-Energy Systems and Communities . His work focuses on resilient and sustainable energy communities, particularly vehicle electrification through bi-directional smart charging technologies within the DriVe2X project (funded by EU Horizon Europe and UKRI). He previously held a Postdoctoral Researcher role at Sharif University of Technology, exploring secure multi-party computation for cyber-physical systems with grants from the Iran National Science Foundation (INSF). Education: B.Sc. in Electrical Engineering (Control Systems), Iran University of Science and Technology (2011) M.Sc. in Electrical Engineering (Control Systems), Sharif University of Technology (2013) Ph.D. in Electrical Engineering (Control Systems), Sharif University of Technology (2020) Research interests include Model Predictive Control , Decentralized Control , Privacy-Preserving Computation , and Intelligent Transportation Systems . His publications bridge control systems and cybersecurity , with recent work on secure algorithms for smart grids and electric vehicle integration. He has participated in multiple international conferences including ICEE and UKACC.

• Multi-Energy Systems
• Energy Communities
• Model Predictive Control
• +۶ مورد دیگر

Dr. Tianxiang Dai serves as Assistant Professor in Cyber Security at Lancaster University's Data Science Institute since 2025, following postdoctoral research at Barkhausen Institut in Dresden. His academic credentials include: Dr.-Ing. (Ph.D.) summa cum laude in Computer Science from Fraunhofer SIT/TU Darmstadt, Germany Ingénieur (M.Eng.) in Computer Science from Télécom ParisTech/Eurecom, France B.Eng. in Computer Science from Tongji University, China His research specializes in security evaluations of networked systems including Internet infrastructures, IoT ecosystems, and cellular networks, with parallel expertise in Privacy Enhancing Technologies such as Confidential Computing and advanced cryptographic methods. This dual focus enables comprehensive security analysis across distributed architectures while developing privacy-preserving computational frameworks. His 2024 publications demonstrate significant contributions to secure machine learning, particularly through cryptographic frameworks for training Gradient Boosting Decision Trees. These works integrate Function Secret Sharing and Two-Party Computation to achieve privacy-preserving analytics at scale, reflecting a strategic research trajectory at the intersection of cryptography, network security, and practical machine learning deployment. Scientific Recognition: No specific awards or fellowships documented in source materials Academic mentoring activities and research funding details remain unspecified in available documentation, though his publication record indicates active collaboration with researchers in cryptographic protocol development. His prior affiliation with Barkhausen Institut suggests involvement in security research teams focused on network infrastructure, though current laboratory structures at Lancaster University are not detailed in the provided text.

• Cyber Security
• Network Security
• Internet Infrastructure Security
• +۶ مورد دیگر