جست‌وجوی استاد و پژوهشگر

• Computer Security
• Privacy
• Applied Cryptography
• +۶ مورد دیگر

Aggelos Kiayias FRSE is Chair in Cyber Security and Privacy and Director of the Blockchain Technology Laboratory at the University of Edinburgh. He is also Chief Scientist at blockchain technology company Input Output. His academic work spans over two decades with more than 200 publications in cryptography, blockchain, and security. Dr. Kiayias received his Ph.D. from the City University of New York and was an undergraduate at the University of Athens Mathematics department. His research focuses on computer security, privacy, applied cryptography, and foundations of cryptography with particular emphasis on blockchain technologies, distributed systems, e-voting, secure multiparty protocols, and identity management. His recent work demonstrates continued innovation across multiple dimensions of blockchain technology, with publications spanning theoretical foundations, practical implementations, economic modeling, and privacy-preserving techniques. The research output shows strong emphasis on security analysis, consensus protocols, transaction processing, and economic incentives within decentralized systems. His work bridges theoretical cryptography with real-world blockchain applications. Among his notable recognitions are an ERC Starting Grant, Marie Curie fellowship, NSF Career Award, Fulbright Fellowship, election as Fellow of the Royal Society of Edinburgh in 2021, and the BCS Lovelace Medal in 2024. He has served as program chair for major conferences including the Cryptographers' Track of RSA (2011), Financial Cryptography (2017), Real World Crypto Symposium (2020), and Public-Key Cryptography Conference (2020), and as general chair of Eurocrypt 2013. Professor Kiayias has supervised over 20 PhD students, many of whom have gone on to academic positions at institutions including Imperial College, Stanford University, Royal Holloway University London, University of Glasgow, University of Sydney, and Virginia Commonwealth University. His current advisees include Yu Shen, Amirreza Sarencheh, and Christina Ovezik with expected graduations between 2025-2026. He leads the Blockchain Technology Laboratory at the University of Edinburgh and is involved in several major blockchain research projects including Panoramix and Fentec. His research has received significant funding from the European Union (Horizon 2020, ERC), UK research councils (EPSRC), US agencies (NSF, DHS, NIST), and Greek research bodies.

• Cryptography
• Blockchain Technology
• Cybersecurity
• +۴ مورد دیگر

Sri AravindaKrishnan Thyagarajan is a Lecturer at The University of Sydney's School of Computer Science, specializing in cryptography. He focuses on enhancing security and fairness in distributed systems, blockchains, and multi-party computations with applications in post-quantum cryptography. His work spans top-tier conferences like ACM CCS and IEEE SP. Education: B.Tech, Computer Science & Engineering, National Institute of Technology Trichy, India (2011–2015) M.Sc., Computer Science, Saarland University, Germany (2015–2016) Ph.D., Applied Cryptography, Friedrich Alexander Universität Erlangen-Nürnberg, Germany (2016–2021) Research Interests: Cryptography (classical and post-quantum), blockchain security, cryptocurrencies, fairness in multi-party computations, privacy-preserving protocols, and decentralized systems. Recent Articles: Focus on cryptographic protocols for blockchains, threshold cryptography, verifiable randomness, and secure atomic swaps. Recent work includes advancements in post-quantum signatures, distributed randomness generation, and privacy-preserving payment systems. Awards: Nominated for GI Dissertationspreis 2021 Advising & Grants: Advising Ankit Kapoor. Active in program committees for CCS, IEEE SP, and FC. Currently Program Chair for Crypto Valley Conference 2025. Labs/Teams: Part of the Sydney Blockchain Centre and cybersecurity cluster at the University of Sydney. Collaborates globally with institutions like NTT Research, Carnegie Mellon University, and Bocconi University.

• Lattice-Based Cryptography
• Post-Quantum Cryptography
• Cryptographic Protocols
• +۵ مورد دیگر

Ron Steinfeld is an Associate Professor at the Cybersecurity Lab of the Faculty of Information Technology , Monash University . His research focuses on lattice-based cryptography , post-quantum cryptographic protocols , and privacy-preserving technologies . He has contributed to advancements in secure multiparty computation , digital signatures , and blockchain confidentiality . Key areas: Lattice-Based Cryptography, Zero-Knowledge Proofs, Blockchain Security Recent work trends: Quantum-safe protocols, Efficient sampling algorithms, Scalable blockchain solutions Scientific Awards : BEST PAPER AWARD (ASIACRYPT 2015) He has served on program committees for major conferences including CRYPTO , EUROCRYPT , and ASIACRYPT . Ron is a member of the Discrete Mathematics Research Group and has collaborated with institutions like Macquarie University in the past.

• Data Privacy
• Cyber Security
• Cloud Security
• +۵ مورد دیگر

Professor Xun Yi is a faculty member at RMIT University's School of Computing Technologies, specializing in cybersecurity, data privacy, and distributed computing. His research focuses on privacy-preserving technologies in cloud systems, blockchain applications, federated learning, and secure communication protocols. He has published over 150 papers in top-tier journals and conferences, including IEEE Transactions on Dependable and Secure Computing. Since 2014, he has served as an Associate Editor for the IEEE Transactions on Dependable and Secure Computing, and has organized major events like the Australasian Information Security Conference (AISC) in 2015 and 2016. Professor Yi actively supervises PhD and Master's research projects, focusing on topics like secure IoT systems, privacy-aware machine learning, and blockchain-enabled frameworks. His work emphasizes practical solutions for real-world challenges in data security and privacy. Research Interests: Data Privacy, Cyber Security, Cloud Security, Wireless/Mobile Security, Applied Cryptography Blockchain-based Systems, Federated Learning, Privacy-Preserving AI Recent Contributions: Developed frameworks for secure data aggregation in smart grids and healthcare systems Advanced techniques for privacy-preserving federated learning and graph neural networks Contributed to standards for secure authentication in vehicular networks (VANETs) Supervision: Open to mentoring students in cybersecurity, privacy-enhancing technologies, and IoT security.

• Quantum Physics
• Quantum Information Science
• Quantum Computing
• +۷ مورد دیگر

Professor Geoff Pryde is a quantum physicist at Griffith University, leading the Quantum Optics and Information Laboratory. He holds a PhD from The Australian National University (2001) and a BSc (Hons) from The University of Queensland (1995). His research focuses on quantum information science, quantum computing, and optical quantum technologies, with emphasis on experimental exploration of quantum phenomena and development of quantum technologies. He is a member of the Queensland Quantum and Advanced Technologies Research Institute (QUATRI) and the ARC Centre of Excellence for Quantum Computation and Communication Technology (CQC2T). Affiliations: Queensland Quantum and Advanced Technologies Research Institute (QUATRI), Centre for Quantum Dynamics, ARC Centre of Excellence for Quantum Computation and Communication Technology. Education: PhD in Physics, The Australian National University, 2001 BSc (Hons) in Physics, The University of Queensland, 1995 His research interests include quantum optics, quantum measurement, entanglement, and applications of quantum technologies. He has led projects funded by ARC and international grants, totaling over AUD 8 million. Key contributions include experimental work on quantum steering, noiseless amplification, and quantum network protocols. Professor Pryde teaches quantum physics and supervises over 20 doctoral students, many of whom have contributed to high-impact research in quantum information science. Grants & Collaborations: ARC Discovery Projects (DP210101651, DP160101911) ARC Future Fellowship (FT110100378) U.S. Asian Office of Aerospace Research and Development (AOARD) Labs & Teams: Quantum Optics and Information Laboratory at Griffith University, collaborating with global teams on photonic quantum computing and quantum metrology.

• Cryptography
• Information Security
• Secure Multiparty Computation
• +۲ مورد دیگر

Louis Cianciullo is a researcher affiliated with James Cook University, where he completed his PhD in 2022. His research focuses on cryptography, information security, and secure multiparty computation, with a particular emphasis on unconditional security and privacy-preserving algorithms. He has collaborated extensively with Hossein Ghodosi on topics such as oblivious polynomial evaluation, secret sharing, and cryptographic protocol analysis. His work also extends to interdisciplinary applications, such as using image processing for agricultural automation in pearl oyster selective breeding. Education: PhD in Information Security, James Cook University (2022) Research Interests: His primary contributions lie in advancing cryptographic techniques for secure computation, including multi-party computation protocols, cheating detection mechanisms, and theoretical foundations of information-theoretic security. He also explores practical applications of computer vision and image processing in real-world scenarios. Grants and Advising: While no specific grants or advising roles are explicitly listed, his active publication record from 2018 to 2022 suggests sustained engagement in research projects and collaborations.

• Privacy
• Cryptography
• Information Security
• +۶ مورد دیگر

Hassan Asghar is a Senior Lecturer in Computer Science at Macquarie University's School of Computing and a Research Scientist at CSIRO since 2014. His research focuses on privacy, cryptography, and information security, including quantifying privacy risks, developing secure cryptographic protocols, and analyzing authentication systems. He has contributed to areas such as differential privacy, secure multiparty computation, and malware analysis. His work integrates mathematics (number theory, probability, and combinatorics) with computer science disciplines like machine learning and algorithms. Notable projects include Privacy Preserving Data Sensing Algorithms (2018–2019) and the Macquarie University Cyber Security Hub (2016–2023). He has authored over 40 research outputs, including studies on adversarial attacks in AI, malware obfuscation, and privacy-preserving data release. Awards: ACM AsiaCCS 2019 Best Paper Award; 2023 Faculty of Science and Engineering Inter-School Collaboration Award. Key Research Themes: Privacy quantification, cryptographic protocol design, biometric authentication, and adversarial machine learning. Collaborations: Extensive international collaborations in cybersecurity and privacy research. Asghar’s contributions span technical publications, policy submissions (e.g., NSW Cybersecurity Inquiry), and practical tools like ConvoCache for chatbot efficiency. He leads the Future Communications Research Centre at Macquarie and actively engages in interdisciplinary cybersecurity initiatives.

John Yuenمشاهده پروفایل

دانشیار

• Cryptography
• Cybersecurity
• Blockchain
• +۳ مورد دیگر

John Yuen is an Associate Professor and Director of Research in the Department of Software Systems & Cybersecurity at Monash University. His expertise spans cryptography, cybersecurity, blockchain, and FinTech, with notable contributions to privacy-preserving protocols and secure multiparty computation. He previously held academic roles at the University of Hong Kong and industry experience at Huawei's Cryptography Expert Group. Education: Ph.D. in Informatics, University of Wollongong (2010) M.Phil. in Information Engineering, Chinese University of Hong Kong (2006) B.Eng. in Information Engineering, Chinese University of Hong Kong (2004) Research Interests: Focuses on advancing cryptographic techniques for blockchain security, privacy-enhancing technologies, and post-quantum cryptography. Recent work includes efficient threshold ECDSA protocols, ring signatures, and privacy-preserving payment channels. Grants & Collaborations: Leads the Monash project 'More Efficient and Scalable Post-Quantum Multi-Signatures' (2024–2025). Collaborates internationally on cryptographic protocols and cybersecurity solutions. Labs/Teams: Oversees research in privacy-preserving cryptocurrencies (e.g., Monero variants) and secure blockchain infrastructure.

Andrew Lanceمشاهده پروفایل

پژوهشگر ارشد

• Quantum Cryptography
• Quantum Key Distribution (QKD)
• Quantum Information
• +۳ مورد دیگر

Andrew Lance is a Senior Research Fellow at the International Centre for Radio Astronomy Research (ICRAR) at The University of Western Australia. His research focuses on quantum cryptography, quantum key distribution (QKD), and continuous variable quantum systems. He has contributed to advancements in error correction codes, noise mitigation in quantum communication, and quantum state sharing. Lance holds a prestigious Eureka Prize for Scientific Research (2006), recognizing his impactful work in quantum information science. His research explores cutting-edge topics such as finite-size effects in QKD protocols, design of robust codes for low signal-to-noise regimes, and integration of quantum random number generators. Key areas of interest include securing quantum communication channels, optimizing quantum protocols for real-world applications, and advancing fundamental understanding of quantum phenomena like entanglement and coherence. Lance’s work spans theoretical and experimental aspects of quantum technologies, with a particular emphasis on practical implementations of quantum cryptography. His publications highlight contributions to both foundational science and applied engineering solutions for quantum systems.

• Cryptography
• Information Security
• Algorithms and Complexity
• +۴ مورد دیگر

Adjunct Professor Josef Pieprzyk is affiliated with the Queensland University of Technology (QUT) , specifically within the Faculty of Science and the School of Computer Science . His research focuses on Cryptography, Information Security, Algorithms and Complexity , and Security of Computer Networks . Qualifications : PhD in Computer Science from the Polish Academy of Science Research Interests revolve around cryptographic protocols, biometric security systems, and cryptanalysis of modern encryption algorithms. He has contributed to topics such as multibiometric cryptosystems , lattice-based attacks , and graph coloring for multiparty computation . His work is categorized under Data management and data science , Distributed computing and systems software , and Theory of computation . Publications (2014–2015) highlight his expertise in cryptographic hashing , block cipher analysis , and protocol security frameworks . These include studies on CLEFIA-128 and Keccak , aligning with Australian Competitive Grant DP0987734 (2009–present). Professional Memberships : International Association for Cryptologic Research (IACR) Steering Committee for ASIACRYPT, ACISP, and ProvSec conferences

Ni Trieuمشاهده پروفایل

استادیار

• cryptography
• security
• secure computation
• +۵ مورد دیگر

Ni Trieu is an Assistant Professor of Computer Science at Arizona State University, specializing in cryptography and security with a focus on secure computation and its applications. Her research has significant implications for privacy-preserving technologies in various domains including healthcare, data sharing, and machine learning. Dr. Trieu received her PhD and Master's degrees from Oregon State University under the supervision of Professor Mike Rosulek, followed by a postdoctoral position at UC Berkeley with Professor Dawn Song. During her graduate studies, she gained industry experience through research internships at Bell Labs, Visa Research, and Google. She completed her undergraduate education at St. Petersburg State Polytechnic University. Her research interests center around cryptography and security , with specific expertise in secure computation and its practical applications including private set intersection, private database queries, and privacy-preserving machine learning. Her work bridges theoretical cryptography with real-world security challenges, developing protocols that balance security guarantees with computational efficiency. Dr. Trieu has maintained an impressive publication record in top-tier security conferences including CCS, PETS, EuroS&P, and CRYPTO. Her recent work shows a clear trajectory toward more complex and practical secure computation scenarios, with increasing focus on multi-party settings, efficiency improvements, and applications to real-world problems like genomic privacy, contact tracing, and machine learning. The publications demonstrate consistent innovation in secure computation techniques while addressing practical constraints of real implementations. Dr. Trieu actively contributes to the academic community through conference service, having served on program committees for major security conferences and participated in NSF panel reviews. Her recent news indicates she's been invited to speak at prestigious venues including Simons Institute, VIASM, and NIST.

Alastair Robbمشاهده پروفایل

پژوهشگر

• Information Systems
• IT Governance
• Blockchain Technology
• +۳ مورد دیگر

Dr. Alastair Robb is an academic affiliated with the UQ Business School at The University of Queensland, Australia. His research focuses on Information Systems with specializations in IT governance, blockchain technology, XBRL, and data visualization. Email : a.robb@business.uq.edu.au Location : Room 518, Joyce Ackroyd Building, St. Lucia Campus Research Interests Blockchain and distributed ledger technology (DLT) adoption in financial systems XBRL standards and data visualization for accounting information IT governance frameworks and business-IT alignment Cross-cultural deception detection in communication media Recent Publications highlight his work on blockchain’s evolutionary path, interactive visualization for decision-making, and XBRL diffusion in social media. His collaborations with researchers like Fiona Rohde, Peter Green, and Arif Perdana underscore his contributions to the field.

• Machine Learning
• Data Privacy
• Computer Vision
• +۴ مورد دیگر

Ji Zhang is a Professor in the Department of Mathematics, Physics and Computing at the University of Southern Queensland. His research focuses on machine learning, data privacy, computer vision, and blockchain technology. He holds an MSc from Singapore and a PhD from Dalhousie University. His work addresses challenges in secure multiparty computation, adversarial machine learning, and deepfake detection. Key research themes include privacy-preserving techniques for data publishing, generative models for image manipulation, and graph neural networks for network analysis. Recent studies explore efficient neural dynamic data valuation and fair algorithmic systems. He has contributed to scalable graph mining frameworks and secure blockchain applications in healthcare and smart contracts. His publications reflect interdisciplinary innovation across cybersecurity, computer vision, and distributed systems. Notable projects include EVRACE for e-bike charging analysis and Tara-Net for takeaway rider accident detection. Despite no listed awards, his work demonstrates significant impact in AI-driven solutions for real-world problems. Collaborative activities span academic-industry partnerships in fraud detection systems and edge computing frameworks for worker safety monitoring (DeepSafety). Current research emphasizes improving transparency in graph neural networks and developing robust anomaly detection methodologies.

• Cryptography
• Blockchain
• Cybersecurity
• +۲ مورد دیگر

Fatemeh Rezaeibagha is Senior Lecturer in Cyber Security at Murdoch University's School of Information Technology. Her research develops cryptographic solutions for blockchain systems, IoT security, and privacy-preserving protocols. Awards include the Associate Fellow teaching certificate (2019) and Murdoch Fellowship (2023). Recent publications focus on: privacy-enhanced data sharing for medical IoT; redactable blockchain architectures; attribute-based access control; and lattice-based cryptography. Applied contributions include traceability-revocation schemes for industrial IoT and accountable systems for vehicular networks. Research emphasizes efficiency and post-quantum security in distributed environments.

Joseph Liuمشاهده پروفایل

استاد

• Cyber Security
• Blockchain Technology
• Applied Cryptography
• +۵ مورد دیگر

Joseph Liu is a Full Professor at Monash University's Faculty of Information Technology, leading the Monash Cybersecurity Discipline Group and founding director of the Monash Blockchain Technology Centre. He holds a PhD from the Chinese University of Hong Kong (2004) and has pioneered research in blockchain security, linkable ring signatures (underpinning Monero cryptocurrency), and applied cryptography. His work spans cloud security, healthcare privacy, and lightweight cryptographic algorithms. He has received over 10,000 citations and 200+ publications in top venues like CRYPTO and ACM CCS. Awards include the 2018 ICT Researcher of the Year (ACS) and 2021 IEEE Technical Achievement Award. Education: PhD Information Engineering, Chinese University of Hong Kong (2004) MPhil Information Engineering, Chinese University of Hong Kong (2001) BEng Information Engineering, Chinese University of Hong Kong (1999) Research focuses on bridging cryptographic theory with real-world applications, emphasizing privacy-preserving technologies and post-quantum security. Recent projects include the Algorand Centre of Excellence for Sustainability Informatics and ethical frameworks for blockchain-based digital credentials. He has led 22+ research projects and contributed to ISO/IEC blockchain standards. Awards: ACS ICT Researcher of the Year 2018 IEEE Technical Achievement Award 2021 Best Paper Awards (2021–2022) Teaching includes courses like FIT2034 and FIT5043. He co-chairs the IEEE Blockchain Australia Chapter and has organized major conferences (e.g., ProvSec, Pairing). Current initiatives include privacy-preserving AI in materials discovery and scalable blockchain systems.