جستجوی استاد راهنمای دانشگاهی

Emanuele Viterboمشاهده پروفایل

استاد

• Error Control Coding
• Communications
• Lattice Codes
• +۵ مورد دیگر

Professor Emanuele Viterbo is a faculty member in the Department of Electrical and Computer Systems Engineering at Monash University, where he has served as Professor since 2010 and Associate Dean (Graduate Research) from 2012 to 2020. His research focuses on error control coding, lattice codes, and algebraic coding theory with applications to wireless communications. He holds a PhD and Laurea in Electrical Engineering from Politecnico di Torino. Key research areas include lattice codes for fading channels, algebraic space-time coding (e.g., Golden Code), and OTFS modulation. He has received prestigious awards such as the IEEE Fellow designation (2011) and the Australia-India Fellowship (2012-13). His work on polar codes and coding for NAND flash memories has advanced practical coding schemes for modern communication systems. Major grants include projects on blockchain coding, high-mobility wireless systems, and NAND flash memory reliability. He has supervised numerous PhD students and contributed to foundational research in information theory. His affiliations include leadership roles in IEEE committees and visiting research positions at institutions worldwide. Scientific achievements include pioneering contributions to space-time coding and lattice-based modulation. Current projects explore OTFS modulation, error control for blockchains, and advanced modulation techniques for 5G/6G networks.

• Coding and Information Theory
• Cryptography and Cryptanalysis
• Information Security
• +۶ مورد دیگر

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.

Nan Sunمشاهده پروفایل

مدرس

• Cybersecurity
• Artificial Intelligence
• Data Analytics
• +۵ مورد دیگر

Nan Sun is a Lecturer at the School of Systems & Computing , University of New South Wales, Canberra , conducting interdisciplinary research at the intersection of cybersecurity and artificial intelligence. Her work focuses on data-driven cybersecurity incident prediction, cybersecurity awareness education systems, and AI applications for threat intelligence. PhD in Information Technology (Deakin University) Former Research Fellow at Deakin University's Centre for Cyber Security Research and Innovation Her research spans cybersecurity (60%), machine learning (25%), and software engineering (15%). Recent publications analyze adversarial machine learning, tropical cyclone forecasting with deep learning, and ethical AI frameworks for cyberbullying mitigation. She leads grants including the UNSW Recruitment Research Proposal Grant and CSIRO Data61 funding. Current teaching includes Big Data and Decision Analytics for Security and Digital Forensics . She offers PhD scholarships to students with high academic achievement.

Asha Raoمشاهده پروفایل

استاد

• Cybersecurity
• Graph Theory
• Combinatorics
• +۷ مورد دیگر

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.

• Cryptography
• Post-Quantum Security
• Privacy-Preserving Protocols
• +۲ مورد دیگر

Khoa Nguyen is a Senior Lecturer in the School of Computing and Information Technology at University of Wollongong, specializing in cryptography and information security. His research develops privacy-preserving and quantum-resistant cryptographic protocols. Current work focuses on lattice-based constructions for secure authentication systems, including novel signature schemes with enhanced privacy features. He has industry experience in implementing production ML systems and cloud-based security platforms. He serves as Workshop Chair for AsiaCCS 2025 and Program Co-Chair for ACISP 2022. Research grants include funding for lattice-based privacy technologies.

• 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.

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.

• Computer Science Education
• Software Security
• Trust Models
• +۵ مورد دیگر

Dr. Charles Thevathayan is an Associate Professor in the School of Science at RMIT University, Australia. His academic focus spans Computer Science Education, Software Security, Trust Models, and Model Checking. He actively contributes to curriculum design and pedagogical innovation in computing education. His research explores areas such as algorithmic reasoning, constructivist learning tools, and service-oriented frameworks for social data analysis. Dr. Thevathayan is open to supervising PhD/Masters students in these domains. Research interests include Big Social Data Analysis, educational technology, and software engineering methodologies. His work emphasizes reducing cognitive load in programming education and enhancing industry-relevant skills through innovative pedagogical approaches. He collaborates with industry partners to bridge theoretical and practical aspects of computing education. Recent publications highlight his contributions to algorithmic reasoning tasks, UML sequence diagram learning tools, and adaptive remediation systems for novice programmers. His research has been presented at conferences like ACM SIGCSE, ITiCSE, and IEEE TrustCom. Dr. Thevathayan holds expertise in mentoring diverse student cohorts and evolving project-based learning frameworks. He is committed to advancing educational practices in computing disciplines through evidence-based approaches.

• Cybersecurity
• Privacy
• Data management
• +۴ مورد دیگر

Dr. Wanlun Ma is a Postdoctoral Research Fellow at the School of Science, Computing and Emerging Technologies , Swinburne University of Technology . He earned a Bachelor's and Master's in Information and Communication Engineering from the University of Electronic Science and Technology of China (UESTC) in 2017 and 2020, respectively, followed by a Ph.D. in Computer Science from Swinburne University of Technology in 2024. His research focuses on Trustworthy and Responsible AI , particularly in adversarial machine learning, network security, and privacy preservation. Education B.E., M.E. in Information and Communication Engineering, UESTC (2017, 2020) Ph.D. in Computer Science, Swinburne University of Technology (2024) Research Interests Trustworthy AI systems Adversarial machine learning Network security and privacy AI ethics and accountability Grants Australian Research Council (ARC) grant (2025-2029) for AI Models for Digital Manufacturing Supervision Available to supervise Ph.D. candidates

Charini Nanayakkaraمشاهده پروفایل

پژوهشگر ارشد

• Record Linkage
• Data Mining
• Privacy-Preserving Techniques
• +۳ مورد دیگر

Charini Nanayakkara is a Research Fellow at the Australian National University (ANU) School of Computing, where her work is partially funded by the University of Edinburgh for contributions to the Scottish Historic Population Platform (SHiPP) project. She earned her PhD in Computer Science from ANU in 2022, focusing on record linkage techniques for complex population data. Her prior roles include Senior Research Officer (2021–2022), Tutor (2019–2022), and software engineering experience at WSO2 and Google Summer of Code. Education: PhD in Computer Science (ANU, 2022) BSc (Hons) Computer Science (University of Colombo, Sri Lanka, 2016) Research Interests: Record linkage for population datasets Data mining and privacy-preserving techniques Applications in healthcare, historical data, and federated learning Key Projects: "Novel methods of data integration and federated learning" (ANU, 2024–2025) "Scottish Historical Population Platform (SHiPP)" (ANU/Edinburgh, 2022–2026) Advising & Grants: Registered to supervise research students Funded by ANU and Edinburgh University Labs/Teams: Collaborates with ANU’s data science and health informatics teams on interdisciplinary projects.

• Artificial Intelligence and Image Processing
• Computation Theory and Mathematics
• Data Format
• +۶ مورد دیگر

Dr. Arathi Arakala is a Lecturer in the School of Science at RMIT University, located at City Campus, Australia. She specializes in Biometric Authentication, Pattern Recognition, and Infectious Disease Modeling. Her research focuses on Artificial Intelligence and Image Processing, with notable contributions to cybersecurity, biometric systems, and epidemiological modeling. Research Interests Development of secure biometric authentication systems using graph-based methods (e.g., palm vein, retinal, and hand vein analysis). Post-quantum cryptography and homomorphic encryption techniques. Impact of environmental factors like agrochemicals on disease transmission (e.g., schistosomiasis). Design of robust feature sets for keystroke dynamics and anomaly detection in social networks. Research Trends Recent work emphasizes post-quantum security solutions and the ethical implications of AI in education. Notable projects include the GRETINA dataset for retinal image security and collaborative efforts on agrochemical pollution’s role in parasitic diseases. Grants & Supervision Supervising research projects on echo chambers, social network anomalies, and zero-knowledge server frameworks. Contributions to interdisciplinary collaborations at RMIT, including cybersecurity and public health initiatives. Labs & Teams Active in RMIT’s Biometrics and Cybersecurity research groups, focusing on privacy-preserving technologies and disease modeling.

• Cybersecurity
• Cloud Security
• Applied Cryptography
• +۲ مورد دیگر

John Le is a Lecturer in Cyber Security at the School of Computing and Information Technology, University of Wollongong, within the Faculty of Engineering and Information Sciences. He obtained his PhD in Cybersecurity from the University of Technology Sydney (2020) and researches cloud security, applied cryptography, and machine learning applications in cybersecurity. He is a member of the Institute of Cybersecurity and Cryptology (iC2). Primary research areas include: Blockchain security and smart contract vulnerabilities Cloud infrastructure protection Adversarial machine learning Cybersecurity education innovations Recent publications focus on AI-enhanced cybersecurity education tools, blockchain oracles, and adversarial attack detection. His methodological work spans graph mining algorithms and lattice-based cryptography, with applications to network security automation. Notable funded projects: ARC Linkage Project: Blockchain-Based Quantum Safe for Secure Digital Medical Passport (2025-2027) Telstra-UOW Hub: LLMSecOps Framework for Pre-Employment Systems (2024-2025)

Arash Shaghaghiمشاهده پروفایل

مدرس ارشد

• Cybersecurity
• Internet of Things (IoT) Security
• Zero Trust Architecture
• +۴ مورد دیگر

Arash Shaghaghi is a Senior Lecturer in Cyber Security and Acting Director of Online Education at the School of Computer Science and Engineering (CSE) at UNSW Sydney. Previously affiliated with RMIT University, Deakin University, Data61 CSIRO, The University of Melbourne, and The University of Texas at Dallas, he holds a PhD in Computer Science and Engineering from UNSW Sydney, an MSc in Information Security from University College London, and a BSc with Distinction from Heriot-Watt University. His research spans cybersecurity with emphasis on IoT security, zero trust architecture, blockchain applications, and posthumous data management. With over 1.7 million AUD in research funding as Lead CI/CI, his work addresses critical challenges in intelligent transport systems, quantum-safe security, and digital legacy solutions. He serves as Associate Editor for the Journal of Ad Hoc Networks and reviews for top conferences including NDSS and IEEE S&P. His 15 most recent publications demonstrate expertise in IoT security frameworks, digital will solutions, encrypted traffic analysis, and vulnerability prediction models. These works appear in premier venues like IEEE TDSC, IEEE S&P, and ACM WWW, reflecting his leadership in solving practical security challenges for emerging technologies. Early Career Academic Excellence Award (Research), UNSW Engineering, 2024 Educational Excellence & Innovation Award, UNSW Engineering, 2023 Heidelberg Laureate Forum Selection (Top 200 young scientists), 2023 Best Demo Award, IEEE LCN Conference, 2020 As an award-winning educator, Shaghaghi leads UNSW's Master of Cyber Security online programs and previously directed Deakin University's Graduate Certificate in Information Technology. His research team includes postdocs, software developers, and 3 current PhD students. He actively engages with media outlets including ABC and The Guardian on cybersecurity topics, particularly digital legacy management and IoT security.

Yi Hongمشاهده پروفایل

دانشیار

• Wireless Communications
• Coding Techniques
• Communication and Information Theory
• +۵ مورد دیگر

Yi Hong is an Associate Professor in the Department of Electrical and Computer Systems Engineering at Monash University, serving as the Graduate Student Coordinator and former Director of Graduate Research (2016-2018). She holds a PhD in Telecommunications Engineering from the University of New South Wales. Her research focuses on wireless communications, coding techniques, and secure communications, with particular emphasis on OTFS modulation, delay-Doppler channels, and SSD storage. She leads a team of researchers and postdocs, actively contributing to IEEE standards and conferences as an Associate Editor and conference chair. Education: Doctor of Philosophy (PhD), Telecommunications Engineering, University of New South Wales (UNSW) Research Interests: Prof. Hong’s work spans advanced communication technologies including OTFS modulation, secure UAV communications, intelligent reflecting surfaces (IRS), and coding for SSD reliability. Her team explores solutions for high-mobility environments, energy-efficient IoT systems, and physical-layer security. Recent contributions include a seminal book on Delay-Doppler Communications and pioneering OTFS waveform implementations. Professional Recognition: She is an IEEE Senior Member, IET Fellow, and former member of the Australian Research Council College of Experts (2018-20). Her leadership in organizing major IEEE events includes co-chairing the 2021/2022 ICC OTFS workshop and the 2014 IEEE ITW. She has received the NICTA-ACoRN Early Career Researcher Award (2007). Grants & Projects: Current ARC grants include secure mmWave UAV communications and modulation for high-mobility systems. Past projects include coding for NAND flash memories and network coding over finite rings. Labs & Teams: Her research group (Future Wireless Communications Team) develops cutting-edge solutions in OTFS, IRS-aided systems, and secure IoT networks, collaborating with industry partners on coding for storage and 5G/6G technologies.

• Cybersecurity
• Privacy-Preserving Technologies
• Homomorphic Encryption
• +۴ مورد دیگر

Amy Corman is a Lecturer in Mathematics - Cybersecurity at the School of Science, RMIT University, based at the City Campus in Australia. Her academic work bridges theoretical mathematics with practical cybersecurity applications, focusing on privacy-preserving technologies and cryptographic protocols. Dr. Corman's research spans several critical areas in modern cybersecurity: Privacy-preserving technologies for healthcare data Post-quantum cryptography and homomorphic encryption Secure protocols for distributed and peer-to-peer systems Gender diversity issues in the cybersecurity workforce Public understanding of data privacy mechanisms Her publication history reveals an evolution from foundational work on peer-to-peer security protocols (2006-2007) to contemporary research on healthcare data privacy and post-quantum cryptography (2021-2025). Recent publications demonstrate increasing focus on making complex privacy technologies accessible and usable, particularly in healthcare contexts where differential privacy and homomorphic encryption can protect sensitive information while enabling research. Her 2025 work on code-based alternatives to lattice-based post-quantum homomorphic encryption represents cutting-edge research preparing cryptographic systems for the quantum computing era. Dr. Corman maintains active research supervision with projects focused on: Privacy Preserving Technologies for Securing Healthcare Data (2025) Enhancing Zero-Knowledge Server Functionality (2023) Her research on women's attrition in cybersecurity (2024) combines literature review with interview analysis to address workforce diversity challenges in the field. This multi-faceted research program demonstrates both technical depth in cryptographic methods and awareness of broader social implications of security technologies.