جست‌وجوی استاد و پژوهشگر

• Coding Theory
• Discrete Mathematics
• Blockchains
• +۵ مورد دیگر

Dr. Son Hoang Dau is a Senior Lecturer in Computer Science at the School of Computing Technologies, RMIT University, Australia. His research focuses on coding theory, discrete mathematics, blockchains, and their applications in secure distributed systems and quantum computing. He actively supervises PhD and Master’s students in areas like fraud detection on blockchain networks and quantum annealing for satellite communication optimization. Research Interests: - Coding Theory & Error-Correcting Codes - Blockchain Security & Decentralized Systems - Quantum Computing & Optimization - Privacy-Preserving Algorithms - Distributed Storage Systems Dr. Dau's recent work includes groundbreaking studies on blockchain fraud detection, secure erasure coding in distributed storage, and quantum annealing for satellite beam placement. His contributions bridge theoretical computer science with practical applications in cybersecurity and telecommunications. Supervision Projects: - Machine Learning methods for Fraud Detection on Blockchain networks - Efficient Repair of Reed-Solomon Codes - Robust Computer vision for surveillance and threat detection Collaboration Network: Engages with global researchers in cryptography, distributed systems, and quantum computing through publications in top venues like IEEE Transactions and ACM Conferences.

Manoranjan Paulمشاهده پروفایل

استاد

• Artificial Intelligence
• Video/Image Processing
• Machine Vision
• +۸ مورد دیگر

Manoranjan Paul is a Full Professor in Computer Science at the School of Computing, Mathematics, and Engineering, Charles Sturt University (CSU), Australia. He is Director of the Computer Vision Lab and Head of the Machine Vision & Digital Health (MAVIDH) Research Group. Paul holds a PhD from Monash University (2005) and has held academic and research roles at institutions including UNSW, Nanyang Technological University (Singapore), and Ahsanullah University of Science and Technology. His research spans Artificial Intelligence , Video/Image Processing , Quantum Computing , Digital Health , and Medical Imaging . Notable contributions include $10M+ in grants (e.g., ARC Discovery Projects, Japanese grants), 250+ refereed publications, and commercialized apps like VineSignal for vine disease detection and Hunter Gatherer Networks for Indigenous marketplaces. Awards include the Golden Disruptor Award and ICT Researcher of the Year 2017 (ACS), and recognition as a World's Top 2% Scientist (Elsevier/Stanford, 2021). Key research initiatives: EEG-based epilepsy prediction ( 90% accuracy ) Quantum image compression ( novel circuits ) Hyperspectral soil analysis ( regression models ) Non-contact cardiopulmonary detection ( smartphone-based ) Supervised 19 PhD students and led international conferences (e.g., PSIVT-19, DICTA-2023). Editor for IEEE Transactions on Image Processing and Multimedia, and Steering Committee Chair for PSIVT.

• 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

Jiangshan Yuمشاهده پروفایل

دانشیار

• Blockchain Systems and Applications
• Cybersecurity
• Dependable Computing
• +۶ مورد دیگر

Dr. Jiangshan Yu is an Associate Professor at the University of Sydney's School of Computer Science, Director of the Sydney Blockchain Centre, and Australian Representative for IFIP TC 10. He holds a PhD from the University of Birmingham and has held academic roles at Monash University. His research focuses on cybersecurity, dependable computing, and blockchain systems, emphasizing privacy, fault tolerance, and scalable infrastructure. Education: PhD in Computer Science, University of Birmingham (UK) Postdoc at University of Luxembourg under Prof. Paulo Esteves-Verissimo Research Interests: Blockchain systems, fault tolerance, consensus algorithms, applied cryptography, and user privacy. He designs robust infrastructures leveraging blockchain, cryptography, and decentralization to address real-world security challenges. Recent Articles Trends: Focus on privacy-preserving protocols (e.g., Posterior Security), consensus mechanisms (e.g., Achilles BFT), and scalability solutions (e.g., Mosaic sharding framework). His work bridges theoretical advancements with practical implementations. Awards: IEEE Technical Achievement Award (2024) ARC DECRA Fellowship (2021) IBM Academic Award (2020) Chinese Government PhD Award (2016) Advising & Grants: Supervises multiple PhD students and leads projects totaling $10M+ (e.g., Algorand Centre of Excellence). Active in grants like ARC DP220101234 for privacy-preserving blockchain. Labs/Teams: Directs the Sydney Blockchain Centre and collaborates with global initiatives like the IFIP WG 10.4 working group on dependable computing.

• Cybersecurity
• Machine Learning
• Cryptography
• +۴ مورد دیگر

Dr. Aqeel Sahi is a Lecturer in Computing at the University of Southern Queensland , affiliated with the School of Mathematics, Physics and Computing . He holds a PhD in Cybersecurity and Machine Learning (2018) and an MSc in Computing from Universiti Utara Malaysia. His expertise spans Cybersecurity , Machine Learning , and Software Engineering . Key research focuses include cybersecurity algorithms, machine learning applications in network security, and innovative software methodologies. He has contributed to over 39 industry projects and 11 publications, with 500+ citations. Research Trends: His work emphasizes cloud security, DDoS mitigation, cryptographic protocols, and eHealth privacy. Recent studies include EEG-based motor imagery classification and parallel encryption modes for cloud data. Teaching: He teaches advanced courses like Algorithms and Data Structures , Object-Oriented Programming , and Master's-level Internetworking . Professional Affiliations: Active member of the IEEE and Australian Computer Society (ACS).

Jennifer Seberryمشاهده پروفایل

استاد

• Cryptography
• Computer Security
• Combinatorial Designs
• +۴ مورد دیگر

Professor Jennifer Seberry is a renowned academic in computer science and mathematics, affiliated with the University of Wollongong's School of Computer Science and Software Engineering. She holds the rank of Professor and has made significant contributions to cryptography, computer security, and combinatorial design theory. Her research focuses on Hadamard matrices, orthogonal designs, and their applications in coding theory and cryptographic systems. She has supervised over 30 PhD students and authored/co-authored numerous papers and books in her field. Education: B.Sc. (1966), M.Sc. (1969), PhD (1971) from Australian universities Key Roles: Director, Centre for Computer Security Research at UOW Former Head of Computer Science at University College, ADFA Editor of multiple journals, including Designs, Codes and Cryptography Awards & Memberships: Fellow of Australian Computer Society (FACS), IEEE (SMIEEE), and Institute of Combinatorics Recipient of numerous grants and research awards Research Highlights: Her work spans cryptographic algorithms, secure protocols, and combinatorial matrices. Notable contributions include advancements in Hadamard matrix constructions and applications to secure communication systems. She pioneered the AUSCRYPT/ASIACRYPT conference series and has advised on national security protocols. Labs & Teams: Leads the Centre for Computer Security Research, collaborating on projects in cybersecurity, cryptographic protocol design, and secure distributed systems.

Zhi Zhangمشاهده پروفایل

مدرس

• System Security
• Rowhammer Exploits
• Adversarial Artificial Intelligence
• +۳ مورد دیگر

Zhi Zhang is a Lecturer in the Department of Computer Science and Software Engineering at the University of Western Australia (UWA), affiliated with the UWA Defence and Security Institute. Prior to this role, he worked as a Research Scientist at CSIRO’s Data61. He holds a PhD in Computer Science from the University of New South Wales, focusing on 'Software-only Rowhammer Attacks and Countermeasures.' His research expertise spans system security, rowhammer exploits, adversarial AI, and federated learning security. He has contributed to UN Sustainable Development Goals related to education and innovation. His research focuses on hardware-software co-design vulnerabilities, including rowhammer-based attacks, adversarial machine learning defenses, and data poisoning in federated learning. Notable areas of contribution include interrupt side-channel attacks, thermal event exploitation, and model unlearning mechanisms. He has published extensively in top-tier journals/conferences like IEEE Transactions on Information Forensics and Security, and has received Distinguished Paper Awards in 2023 and 2024. Education: PhD in Computer Science (UNSW, 2021) Key Research Areas: Rowhammer Exploits & Mitigations Adversarial Attacks on DNNs Federated Learning Security Interrupt-Based Side Channels His work bridges theoretical computer security with practical system implementations, addressing critical vulnerabilities in modern architectures. Collaborations span academia and industry, with impactful contributions to hardware-software security domains.

Asad Malikمشاهده پروفایل

مدرس

• Multimedia Forensics and Security
• Image Processing
• Deep Learning
• +۴ مورد دیگر

Asad Malik is a Lecturer at the School of Information Technology, Monash University, Malaysia, since December 2023. Previously, he served as an Assistant Professor in the Department of Computer Science at Aligarh Muslim University, India, for two years. He holds a Ph.D. in Information Security from Southwest Jiaotong University, China (2020), an MCA from Jamia Millia Islamia (2015), and a BSc (Hons.) in Computer Application from Aligarh Muslim University (2012). His research focuses on Multimedia Forensics and Security, Deep Learning for Cyber Security, and DeepFake detection. He is a technical member of the Asia-Pacific Signal and Information Processing Association (APSIPA) and actively reviews for top journals and conferences. His work aligns with UN Sustainable Development Goals, particularly in advancing Education and Innovation. Malik’s publications (34+ outputs) emphasize robust watermarking techniques, reversible data hiding in encrypted media, and AI-driven solutions for security and environmental challenges. Recent trends highlight innovations in deepfake detection, transformer-based audio classification, and AI applications in renewable energy modeling. He is currently accepting PhD students and collaborates on projects combining cybersecurity, digital forensics, and machine learning. No notable awards are listed, but his research contributions reflect significant academic engagement in information security domains.

• Cybersecurity
• IoT Security
• Blockchain Technology
• +۵ مورد دیگر

Doctor Nan Li is a faculty member at the University of Wollongong, Australia, where they hold a PhD from the same institution. Their research focuses on cybersecurity, IoT security, blockchain technology, and privacy-preserving cryptographic protocols. They have been actively involved in securing distributed systems, authentication mechanisms, and federated learning frameworks. Research interests include cryptographic protocol design, IoT threat mitigation, blockchain forensics, and educational technology innovation in computer science. Recipient of grants such as the Secure Private Cloud grant (2023) and the User-Centric Privacy-Preserving Techniques grant (2023). Current supervision of two PhD projects: leveraging generative AI for IoT security and pragmatic cryptography development. Recent work emphasizes policy-based authentication systems, oblivious location services, and mitigating attacks in federated learning. Their contributions span over 50 peer-reviewed publications, with notable advancements in chameleon hash functions and blockchain rewriting mechanisms. Teaching and supervision activities reflect a commitment to advancing secure technologies and educational methodologies in computer science and cybersecurity domains.

• Code-Based Cryptography
• Lattice-Based Cryptography
• Secret Sharing Schemes

Partha Sarathi Roy is a Senior Lecturer in Cyber Security at the University of Wollongong's School of Computing and Information Technology. His research expertise spans code-based cryptography, lattice-based cryptographic schemes, and secure secret sharing mechanisms. Previously, he held positions at Kyushu University and KDDI Research, following his PhD in Cryptography from the University of Calcutta. Dr. Roy's work focuses on developing advanced cryptographic protocols including puncturable encryption, proxy re-encryption, and password-protected security systems. His contributions emphasize lattice-based solutions for post-quantum cryptography and secure data sharing frameworks. He coordinates courses in system analysis and project management and has secured funding for quantum-safe storage research. Dr. Roy actively contributes to academic peer review for major cryptography conferences and journals.

Rafael Baiao Dowsleyمشاهده پروفایل

مدرس ارشد

• Cryptography
• Privacy-Preserving Machine Learning
• Blockchain Technologies
• +۳ مورد دیگر

Dr. Rafael Baiao Dowsley is a Senior Lecturer in the Department of Software Systems & Cybersecurity at Monash University. He holds a Doctor of Natural Sciences in Cryptography from Karlsruhe Institute of Technology (2016). His research focuses on cryptography, privacy-preserving machine learning, cryptocurrencies, and blockchain technologies. He is actively involved in major initiatives such as the CSIRO Next Generation Graduates Program on Privacy-Preserving Machine Learning and the Algorand Centre of Excellence on Sustainability Informatics for the Pacific. His work contributes to UN Sustainable Development Goals related to education and innovation. Education: Doctor of Natural Sciences in Informatics (Cryptography), Karlsruhe Institute of Technology, Germany (2016) Research Interests: His research bridges cryptography with machine learning, security, and privacy. Key areas include designing cryptographic protocols for privacy enhancement, privacy-preserving machine learning frameworks, secure blockchain applications, and post-quantum cryptographic systems. Grants & Projects: CSIRO Next Generation Graduates Program: Privacy-Preserving Machine Learning (2023–2027, Associate Investigator) Algorand Centre of Excellence on Sustainability Informatics for the Pacific (2022–2023, Chief Investigator) Awards: Best Paper Award (2021) for collaborative work on cryptographic applications. Advising: Actively supervising PhD students through projects like 'Privacy-Preserving Machine Learning: Technology Development and Adoption.'

Joël Felderhoffمشاهده پروفایل

پژوهشگر

• Cryptography
• Lattice-Based Cryptography
• Quantum Algorithms
• +۳ مورد دیگر

Joël Felderhoff is a Researcher in the Cryptography team at the Department of Informatics, King’s College London. His primary research focuses on algorithmic (classical and quantum) analysis of structured lattices and their cryptographic applications. Previously, he completed a PhD in the AriC team at ENS de Lyon under supervisors Damien Stehlé and Guillaume Hanrot, funded by the Direction Générale de l’Armement (Pôle de Recherche CYBER). His work bridges theoretical computer science and practical cryptographic security, addressing post-quantum challenges. He has held teaching roles in computer science at Lyon 1 University and ENS de Lyon, including courses on cryptography, networks, and quantum computing. His academic journey includes research internships at CWI Amsterdam, INRIA Nancy, and the University of Copenhagen’s QMATH team, focusing on topics like lattice reduction, isogeny-based cryptography, and homological codes. Key contributions include analyzing the hardness of structured lattice problems (e.g., Ideal-SVP) and their equivalence to cryptographic assumptions like NTRU. He actively participates in academic events, presenting at conferences such as TCC and ASIACRYPT, and contributes to open-source educational initiatives like MATh.en.JEANS and Prologin.

• Coding Theory
• Combinatorics
• Error-Correcting Codes
• +۲ مورد دیگر

Anina Gruica is a Research Fellow in the Algebra group at the Technical University of Denmark (DTU), specializing in coding theory with emphases on density questions, combinatorial structures of error-correcting codes, and DNA-based data storage systems. Her work bridges theoretical mathematics and practical applications in next-generation storage technologies. Her research program centers on Coding Theory and Combinatorics, investigating the geometric and probabilistic properties of codes in metric spaces. Key interests include rank-metric codes, MRD codes, and combinatorial optimization for DNA storage efficiency, where she develops novel approaches to random access and coverage depth challenges through algebraic and geometric frameworks. Dr. Gruica's publication portfolio reveals a strong interdisciplinary trajectory, with increasing focus on DNA storage applications since 2022. Her work combines deep theoretical insights in combinatorial geometry with practical storage system design, resulting in high-impact publications across SIAM journals, IEEE conferences, and arXiv preprints that address both classical coding problems and emerging biological storage constraints. She has received competitive recognition including: ALCOCRYPT conference travel award (February 2023) DIAMANT PhD travel grant (2000 EUR, January 2023) DIAMANT visitor grant (1900 EUR, October 2021) SIAM Travel Award (August 2021) As co-organizer of the Postgraduate International Coding theory Seminar (PICS), Dr. Gruica actively mentors junior researchers while maintaining extensive collaborations with A. Ravagnani, J. Sheekey, and E. Yaakobi. Her conference presentations at venues like ISIT and SIAM AG23 demonstrate her leadership in translating theoretical advances to storage applications. She contributes to DTU's Algebra group research ecosystem, focusing on algebraic structures for coding theory and cryptography. Her current projects, evident from 2024-2025 preprints, explore combinatorial geometry for DNA storage efficiency and advanced rank-metric code constructions, positioning her at the forefront of coding theory's application to biological data systems.

Jacqui Romeroمشاهده پروفایل

دانشیار

• Quantum Information
• Quantum Technologies
• High-dimensional Quantum Systems
• +۳ مورد دیگر

Associate Professor Jacqui Romero is an expert in experimental quantum information science at the University of Queensland (UQ), leading the Qudits@UQ research group. She holds a PhD from the University of Glasgow and has held prestigious fellowships including the ARC DECRA (2016) and Westpac Research Fellowship (2019). Her research focuses on high-dimensional quantum systems (qudits), exploring their applications in quantum technologies such as communication, computation, and error correction. She is affiliated with the ARC Centre of Excellence for Engineered Quantum Systems (EQUS) and teaches quantum technologies at UQ. Education: Bachelor of Applied Physics (magna cum laude), University of the Philippines Diliman Master of Science in Physics, University of the Philippines Diliman Doctor of Philosophy, University of Glasgow Research Interests: Dr. Romero’s work emphasizes generating and characterizing high-dimensional quantum states, designing quantum devices via inverse optimization, and testing indefinite causal order phenomena. Her team explores quantum error correction, quantum imaging, and the advantages of high-dimensional entanglement in robust quantum communication. Awards: L’Oréal-UNESCO For Women In Science Award (2017) Ruby Payne-Scott Medal (2018) L’Oréal-UNESCO International Rising Talent Award (2019) Grants & Funding: ARC Training Centre in Current and Emergent Quantum Technologies UQ Major Equipment Grant for a multimode optical waveguide facility Labs & Teams: Qudits@UQ, a dedicated experimental group advancing quantum technologies through photonics-based high-dimensional systems research.

• Quantum Optics
• Quantum Computation
• Quantum Communication
• +۴ مورد دیگر

Professor Timothy Ralph is a renowned academic at the University of Queensland, holding the position of Professor and Node Director of the ARC Centre of Excellence for Quantum Computation and Communication Technology. He specializes in quantum optics, quantum information science, and relativistic quantum phenomena. Ralph obtained his BSc (Hons) from Macquarie University (1989) and PhD in Physics from ANU (1993). His career includes three prestigious ARC Fellowships (Postdoctoral, QEII, and Professorial). Research Interests: His work focuses on quantum computing architectures, quantum communication protocols (e.g., Gaussian states, entanglement distillation), and the interplay between quantum mechanics and relativity (e.g., closed timelike curves, quantum field theory in curved spacetime). He has pioneered advancements in noiseless linear amplification and quantum repeater technologies. Publications Overview: Ralph’s recent work spans quantum gravity experiments, relativistic quantum information, and space-based quantum communication. Notable themes include quantum state tomography in closed timelike curves, warp drive spacetime dynamics, and hybrid quantum-classical communication systems. Over 400 publications reflect his contributions to foundational and applied quantum science. Awards & Grants: His ARC Fellowships underscore his research excellence. He leads major national/international projects, including the ARC Centre. Collaborations involve space agencies and institutions worldwide. Teams & Facilities: Directs the ARC Centre’s quantum computing efforts, oversees quantum communication labs at UQ, and collaborates with global networks like Space QUEST. His group develops cutting-edge tools for quantum optics experiments and theoretical frameworks for relativistic quantum systems.