Dr. Joonsang Baek is an Associate Professor at the School of Computing and Information Technology, University of Wollongong (since 2021). His research focuses on Cybersecurity , Cryptography , and Network Security , with notable contributions to digital signature revocation, attribute-based encryption, and privacy-preserving protocols. Member, Institute of Cybersecurity and Cryptology (since 2017) Supervision interests: Cybersecurity, Applied Cryptography, Network Security Research Highlights: Innovations in withdrawable signatures, secure cloud data sharing, and 5G authentication protocols. His work combines theoretical cryptography with practical applications in edge computing and AI-driven security systems. Grants: Led projects on ransomware datasets, dynamic access control, and TLS optimization. Collaborated with Data61, Discovery Projects, and industry partners on cybersecurity resilience initiatives. Collaborations: Frequent co-author with researchers like Willy Susilo, Cao Cao, and Xinyu Liu. Active in ACM Asia CCS, IEEE Transactions, and LNCS publications.
Professor Carsten Rudolph serves as Deputy Dean at Monash University's Faculty of Information Technology and directs the Oceania Cyber Security Centre (OCSC). He holds a PhD in Information Security from Queensland University of Technology (2002) and a Diplom in Computer Science from Goethe University Frankfurt (1997). His interdisciplinary research focuses on cybersecurity foundations, including cryptographic protocols, AI-driven security, human factors, and national cybersecurity policy. Key areas include securing smart grids, digital health systems, and transnational energy networks. Notable contributions include establishing the OCSC, leading Pacific region cybersecurity maturity reviews with Oxford University, and advancing frameworks for firmware security in virtual power plants. He chairs major projects like RAI4IoE (Responsible AI for Energy) and Post-Quantum Cryptography initiatives. Teaching responsibilities include cybersecurity modules like FIT3173 and FIT3168. Rudolph's research outputs (137+ publications) emphasize phishing detection via AI, blockchain-based energy trading, and resilient smart grid systems. He collaborates internationally on policy development and has advised 12 major research projects funded by agencies like the U.S. Bureau of East Asia and Pacific Affairs.
Dr. Fuchun Guo is an Associate Professor at the University of Wollongong's School of Computing and Information Technology, affiliated with the Faculty of Engineering and Information Sciences. He holds an ARC Future Fellowship (2023-2026) and previously an ARC DECRA Fellowship (2017-2019). His research focuses on public-key cryptography, security proofs, and cryptographic definitions, with contributions to provable security, post-quantum cryptography, and privacy-preserving technologies. Guo earned his PhD in 2013 from the University of Wollongong, supervised by Yi Mu and Willy Susilo. His work extends to cryptographic primitives, security reductions, and formal definitions. Notable publications include books like Introduction to Cryptographic Definitions (Springer, 2025) and foundational research in CRYPTO, EUROCRYPT, and ASIACRYPT venues. His research interests span modern cryptography's theoretical underpinnings, including security models, cryptographic protocols, and practical implementations. Recent work emphasizes post-quantum security, privacy-preserving systems (e.g., cloud-assisted IoT, mobile social networks), and lattice-based cryptography. Awards: ARC Future Fellowship, ARC DECRA Fellowship Grants: ARC grants for "Provably Secure Cryptography Techniques" and "Secure Crowdsourcing Classification" Supervision: Actively supervising PhD students in cloud security, cryptographic proofs, and anonymous signature schemes. Guo’s lab explores cutting-edge cryptography for real-world applications, with a focus on bridging theoretical advancements and practical deployments in cybersecurity domains.
Dr ASM Kayes serves as Senior Lecturer in Cybersecurity and Cyber Curriculum Lead at La Trobe University's Department of Computer Science and Information Technology, where he shapes cybersecurity education programs including Master's, Bachelor's, and Double Degrees. His academic journey began with a PhD from Swinburne University of Technology in 2015, followed by postdoctoral research at La Trobe before joining as Lecturer in 2019 and promotion to Senior Lecturer in 2022. His research spans critical cybersecurity domains including data security, privacy preservation, context-aware access control, malware/ransomware defense, and IoT/fog/cloud security leveraging AI/ML techniques. Dr Kayes has established himself as a leading voice in blockchain security frameworks, privacy policy analysis, and cyber incident response through publications in top-tier venues like ACM Computing Surveys, IEEE Internet of Things Journal, and Computers & Security. His recent publications reveal a strong trajectory toward integrating AI with traditional security frameworks, particularly in blockchain risk assessment (2025), cross-domain access control (2025), and IoT behavior prediction (2024). The research demonstrates consistent focus on practical security solutions addressing ransomware mitigation, privacy breaches, and emerging threats in decentralized systems. Over $880,000 secured as Chief Investigator for cybersecurity projects Australian Government Department of Social Services grant (2023-2026) for cyberbullying prevention AustCyber research funds with industry partners (2020-2023) SmartSat CRC and ASCRIN PhD scholarship grants (2021) Dr Kayes has successfully supervised 5 PhD candidates to completion and currently mentors 5 doctoral students across diverse topics including AI-driven threat hunting, satellite network security, and blockchain risk frameworks. His collaborative network spans UK, USA, Europe, and Asia, with active industry partnerships through Westpac, BHP, and Quantum Victoria. He serves on editorial boards for leading cybersecurity journals and has examined HDR dissertations globally, reflecting his significant standing in the academic community.
Dr. Veronika Kuchta is an Assistant Professor at Florida Atlantic University's Department of Mathematical Sciences, specializing in post-quantum cryptography and its applications to blockchain. She holds a PhD in applied cryptography from the University of Surrey (2016) and has held roles including Honorary Research Fellow at The University of Queensland (UQ) School of Mathematics and Physics (2020–2022), Research Fellow at Monash University (2018–2020), and postdoc at Université libre de Bruxelles (2016–2018). Education: PhD in Applied Cryptography, University of Surrey, UK (2016) Diploma in Mathematics, Heidelberg University, Germany (2010) Research Interests: Her work focuses on constructing quantum-resistant cryptographic primitives, including lattice-based schemes, zero-knowledge proofs, and their integration into real-world systems like blockchain. She explores topics such as post-quantum verifiable random functions, cryptographic accelerators, and privacy-preserving authentication protocols. Key Projects: Formal Verification of Post-Quantum Cryptographic Primitives (UQ Cyber Seed Funding, 2021–2023) Algorand Centre of Excellence on Sustainability Informatics (2022–2023) Grants & Funding: Noted for contributions to blockchain security and lattice-based protocols, her work is supported by industry and institutional grants, including the Monash University Open Grant for the Algorand Centre of Excellence. Labs/Teams: Collaborates with interdisciplinary teams on cryptographic protocol design and hardware-accelerated cryptography (e.g., TPU-based cryptographic acceleration).
Shui Yu is a Professor of the School of Computer Science in the Faculty of Engineering and Information Technology at the University of Technology Sydney (UTS), where he also serves as the Deputy Chair of the UTS Research Committee. His academic career spans over 20 years in Australia and 7 years in China, with additional teaching experience in Hong Kong and Indonesia. He has developed more than 10 units in cybersecurity, computer science, data analytics, and computer games, serving as the Course Director for Computer Science undergraduate programs. Professor Yu's research interests center on cybersecurity, privacy, networking aspects of Big Data, and applied mathematics for computer science. He pioneered the field of 'networking for big data' in 2013 and edited the seminal book 'Networking for Big Data' published in 2015. His work has practical applications in industry, including Amazon Cloud's auto-scale strategy against distributed denial-of-service attacks. Current research focuses include privacy and security concerns associated with big data, security issues in smart grids, anonymous transactions on Blockchain, and anonymous communication for web browsing privacy. Analysis of his recent publications reveals a strong research trajectory spanning cybersecurity, privacy-preserving technologies, networking for big data, and applied mathematics. His work shows increasing focus on quantum-resistant cryptography, federated learning security, and adversarial robustness in AI systems. The interdisciplinary nature of his research bridges theoretical foundations with practical applications in IoT, blockchain, and cloud environments. Fellow of IEEE (2023) Distinguished Lecturer of IEEE Communications Society (2018-2021) Distinguished Visitor of IEEE Computer Society (2022-2024) Professor Yu has secured numerous research grants from the Australian Research Council, including current projects on privacy and fairness in high intelligence models (DP240100955), improved security and privacy for online platforms (LP220200808), and secure blockchain for financial applications (LP220100453). He has served on editorial boards of multiple IEEE journals including IEEE Communications Surveys and Tutorials, IEEE Communications Magazine, and IEEE Internet of Things Journal. His service extends to organizing major conferences such as IEEE Globecom 2015 and IEEE INFOCOM 2016-2017.
Associate Professor Serdar Boztas is affiliated with RMIT University's School of Science in Australia. His academic rank is Associate Professor. He is actively involved in teaching Information Theory, Cryptography and Security, Advanced Topics in Cryptography, and Smartcard Cryptosystems. His research interests span Coding and Information Theory, Cryptography, Information Security, Wireless Communications, and Complex Networks. Research highlights include work on Reed-Solomon codes, insider threat detection, and sequence design with applications in cryptography and signal processing. His recent publications focus on error correction, network security, and algorithmic improvements in coding theory. He has supervised PhD projects on Lightweight Encryption and Insider Threat Mitigation, with notable completed projects in malware analysis and cryptographic countermeasures. Service & Engagement: Committee roles in IEEE workshops, international conferences, and advisory boards (e.g., ISC, AAECC, SECIA). Teaching: Courses emphasize Information Theory, Cryptography, and Security applications. Grants & Funding: Active in securing research funding for projects in cybersecurity and communication systems. Boztas' work bridges theoretical foundations with practical applications in information security, network efficiency, and cryptographic systems. His contributions to sequence design and threat detection methodologies are widely recognized in the field.
Dr. Priyanka Singh is a Lecturer in Cyber Security at the School of Electrical Engineering and Computer Science, University of Queensland. She holds a PhD in Image Forensics and has conducted postdoctoral research at SUNY Albany and Dartmouth College, collaborating with Prof. Hany Farid. Her research focuses on Cyber Security, Digital Forensics, Privacy, Homomorphic Encryption, and Cloud Computing applications. Key contributions include real-time child pornography detection and privacy-preserving frameworks for digital authentication. Education: PhD in Image Forensics (university unspecified), postdoctoral work at SUNY Albany and Dartmouth College. Notable collaborations include a talk invitation at MIT by Prof. Ramesh Raskar. Research Interests: Cyber Security mechanisms, Digital Forensics techniques, Privacy-Preserving algorithms, Homomorphic Encryption protocols, and Cloud Security solutions. Recent Articles: Focus on AI ethics (e.g., FakeFaceDiscriminator), privacy-preserving biometrics (e.g., IRIS-SAFE), and secure anomaly detection (e.g., SADHE). Her work spans 42 conference papers and 22 journal articles, addressing challenges like encrypted video tampering detection and federated learning resilience. She advocates for technology's societal impact through explainable AI and ethical AI use cases.
Professor Asha Rao is a distinguished academic at RMIT University, holding the title of Professor in Mathematics and Cybersecurity. She has been instrumental in advancing cyber-mathematics to enhance cybersecurity. Her roles include Associate Dean of Mathematical Sciences (2017–2023) and Interim Director of the Australian Mathematical Sciences Institute (AMSI) (2020). She champions gender equity in STEM and frequently engages in public science communication. University: RMIT University School: School of Science Academic Rank: Professor Research Focus: Her work spans cybersecurity, coding theory, complex networks, and risk management, often integrating mathematical frameworks to address real-world problems like money laundering and small business digital security. She also explores fractal analysis and post-quantum cryptography. Recent Publications: Highlight recent advancements in post-quantum homomorphic encryption, small business cybersecurity frameworks (2021–2025), and data fusion techniques for internal network anomaly detection. Her research bridges technical innovation with policy implications. Scientific Recognition: 2019–2020 Science & Technology Australia Superstar of STEM 2021 Victorian Honour Roll of Women (Trail Blazer) 2021 India Australia Science and Technology Development Award 2016 RMIT Media Stars Award Teaching & Leadership: Actively supervises Masters and PhD students, emphasizing teamwork in cybersecurity education. She led curriculum design initiatives and addressed non-technical skills gaps in the industry (2020). Her leadership extends to national organizations like AMSI. Community Engagement: Promotes cybersecurity through media appearances (ABC News, Australian Financial Review) and events like Pint of Science. She co-founded Women in Mathematics and advocates for girls in STEM.
Zuoxia Yu is a Lecturer in Cyber Security at the University of Wollongong's School of Computing and Information Technology, where she researches privacy-preserving cryptography, blockchain applications, and post-quantum security. Her work develops advanced cryptographic primitives including accountable anonymous credentials, collusion-resistant watermarking, and lattice-based zero-knowledge proofs. Current research focuses on blocklistable anonymous credentials with post-quantum security and revocable ring signatures from lattice assumptions. She holds an ARC DECRA grant (2024-2026) for 'New Frontiers for Anonymous Authentication' and leads projects on lattice-based zero-knowledge proofs.
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.
Professor Keith Martin is a leading academic in the Information Security Group at Royal Holloway, University of London , where he serves as Director of the EPSRC Centre for Doctoral Training in Cyber Security for the Everyday. His research spans Cryptography , Key Management , and Geopolitical Aspects of Cyber Security , influencing both technical and societal dimensions of digital security. His research interests focus on cryptographic systems, including Cryptographic key management for mobile and distributed environments Geopolitical implications of cyber threats Quantum-resistant cryptography Security in vehicular and wireless sensor networks Recent publications highlight trends in Quantum Cryptography , 5G Privacy , and Secure Communication Protocols , with applications in healthcare, maritime security, and policy. His textbook Cyber Security Foundations (2025) bridges technical and societal perspectives. Supervision includes completed PhDs on topics like Attribute-Based Access Control , Anonymous Authentication , and Cryptographic Applications in RFID Systems , with students now holding academic and industry roles globally.
Professor Jiankun Hu is an IEEE Fellow and full professor of Cyber Security at the School of Engineering and Information Technology, University of New South Wales at the Australian Defence Force Academy (UNSW@ADFA), Australia. His primary research focuses on computer networking and security, particularly biometric security and cybersecurity applications. Professor Hu earned his Bachelor's degree in industrial automation in 1983 from Hunan University, China, followed by a PhD in engineering in 1993 from Harbin Institute of Technology, China. He completed a Master's degree in computer science and software engineering from Monash University, Australia in 2000. His postdoctoral work includes research at Harbin Shipbuilding College (1995), Ruhr University in Germany as an Alexander von Humboldt Foundation fellow (1995-1997), and Delft University of Technology in the Netherlands (1997). His research spans multiple domains including cybersecurity, biometrics, image processing, and artificial intelligence. Key areas include intrusion detection systems, applied cryptography, network security, biometrics security, image and video processing, and machine learning applications. He has made significant contributions to fingerprint recognition systems, privacy-preserving biometric authentication, and cybersecurity for smart grids. Professor Hu's recent publications demonstrate a strong focus on privacy-preserving technologies for biometric systems, blockchain security, smart grid protection, and advanced machine learning applications for cybersecurity. His work bridges theoretical advances with practical implementations in real-world systems, particularly in securing critical infrastructure and developing robust biometric authentication methods. He has received significant recognition including IEEE Fellow status and has been awarded ten Australian Research Council Grants. He has served in editorial roles for prestigious journals including IEEE TIFS (as Senior Area Editor), Journal of Security and Communication Networks, KSII TIIS, IET CPS, and IEEE OJCS. Professor Hu has held leadership positions in major conferences, serving as Security Symposium Co-Chair for IEEE GLOBECOM '08 and IEEE ICC '09, and Program Co-Chair of the 2008 International Symposium on Computer Science and its Applications. He maintains an active research program with numerous publications across top-tier venues.
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.
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.
