Our Staff

 

  • Surya is a Senior Principal Research Scientist at CSIRO’s Data61. He currently leads the distributed systems security group consisting of more than 30 staff and 50 PhD students. His main research focus is on the development and implementation of technologies in the area of distributed systems (including cloud, IoT and edge computing) and social networks, with a specific focus on security, privacy, and trust. He has more than 200 peer-reviewed publications to his credit. He has co-edited three books, including security, privacy, and trust in cloud systems by Springer, and co-invented three patents. He is a member of the editorial boards of IEEE Transactions on Service Computing, ACM Transactions on Internet Technology and Frontiers of Big Data- Security Privacy, and Trust. He is currently a theme leader of the Cybersecurity Cooperative Research Centre (CRC), a national initiative in Australia. He holds conjoint faculty position at UNSW and an honorary professor position at Macquarie University.
  • Contact: Link
  • Address: MARSFIELD, NSW 2122, AUSTRALIA
  • Publications: ORCID |Google Scholar
  • Tags: Data Encryption | Computer System Security | Software Engineering | Database Management | Distributed and Grid Systems
    • Andrew is a Data Scientist and the Team Leader of the Security Data Science group. His main research interests are applying probability theory to the security domain, which includes the modelling of the arrival vulnerabilities, modelling of the expected time until exploit of disclosed vulnerabilities and understanding attack paths through networks. Previously he worked for the Department of Defence, Australian Federal Police and Data to Decisions CRC to deliver research and proof of concept applications to assist analysts and investigators make better decisions.
  • Address: ADELAIDE, SA 5000, AUSTRALIA
  • Publications: ORCID
  • Tags: Cyber Exploit Prediction | Vulnerabilities analysis
  • Highlight: I enjoy having the opportunity to collaborate with universities and research organisations around the world. Working with great people in multiple fields provides many interesting problems, keeps me learning new things and delivering new capabilities to solve problems in the security domain.
  • Dongxi’s research focuses on developing novel security algorithms, protocols, and architectures for enabling new secure systems or enhancing security of widely-deployed systems. His work has covered the following areas: encrypted data management in cloud computing, IoT device authentication and management, new blockchain protocol, post-quantum security.
  • Address: MARSFIELD, NSW 2122, AUSTRALIA
  • Publications: Google Scholar
  • Tags: Applied Cryptography | Blockchain | IoT-Cloud Security | Programming Languages | Formal Methods
  • Highlight: EnerID blockchain aims to democratise the blockchain technique across every corner of the world; every one with a web browser, regardless of their (computing) power or wealth (stake), is able to create new blocks, recording their daily information or transactions into the tamper-resistant EnerID blockchain.
  • An engaged and motivated researcher,  Marthie is passionate about making cyber security more accessible for people in the pathway of the fourth industrial revolution. Her research, management and consulting experience span multiple continents, national and state government departments, and a variety of domains linked with the digital domain. She is passionate about enhancing people’s ability to use connected technology more powerfully in an ever-connected world. Her main focus is on all things related to humans and cybersecurity, from phishing awareness to online risk resilience, cyber gamification and cyber security governance and management. Marthie has been appointed Professor of Practice in the Faculty of Science within the University of Johannesburg, South Africa.
  • Address: DOCKLANDS, VIC 8012, AUSTRALIA
  • Publications: ORCID |Google Scholar |Loop |ResearchGate |Publons |DBLP
  • Tags: Human Centric Cyber Security | Cyber Governance | Cyber Psychology | Online Risk Resilience
  • Highlight: I might be working with school kids in the morning playing one of our in-house developed cyber games, and then in the afternoon join forces with executives to plan a digital intervention. There is never a dull moment when you work with people and security!
  • Seyit is a principal research scientist at CSIRO’s Data61 leading the Autonomous Security and Software Security team. He is passionate about discovering unusual solutions to challenging cybersecurity problems with a specific focus on pervasive security. Seyit is a recipient of CSIRO’s prestigious Julius Career Award (2018) for his work on compression encryption. He was the first to introduce design theory in cryptographic key management, and to develop sandbox for dynamic analysis of Android malware. He was among the first to inform society about Android malware outbreak, and to realise the model-to-data paradigm in computing to enable research on data in captivity. Seyit received a PhD degree in Computer Science from Rensselaer Polytechnic Institute, New York, USA, in 2007. From 2007 to 2013, he was with the TU-Berlin, Germany, as a senior researcher and research group leader in security. Seyit worked for five years as an ECARD lecturer at the QUT, Australia.
  • Address: MARSFIELD, NSW 2122, AUSTRALIA
  • Publications: ORCID |Google Scholar
  • Tags: Autonomous Security | Software Security | Malicious Cryptography | Pervasive Security
  • Highlight: I find the work at Data61 exciting and significantly motivational as we collaborate with the best academics and students in their respective fields using a wide range of services and resources, do innovative research to solve risky and challenging real-life problems and develop research outputs into mature solutions.
  • Alan’s current focus of research is on agent-based autonomic service compositions. He has previously conducted extensive research into adaptive and context-aware distributed software systems with over 150 publications. He is particularly interested in using system-theory to structure and control software architectures. He has applied his research in the industrial and environmental monitoring industries. He is currently also an Adjunct Research Fellow at Swinburne University of Technology.
  • Address: DOCKLANDS, VIC 8012, AUSTRALIA
  • Publications:  Google Scholar | Orcid
  • Tags: Adaptive Software Architectures | Multi-tenant service composition | Control-theoretic Adaptation | Context-aware computing | Feature-oriented Customisation | Blockchain based data sharing
  • Highlight:  Supervising and learning from my PhD students over the years. 
  • Anton is a visiting researcher at CSIRO’s Data61, on part-time secondment from Defence Science and Technology Group (DST Group). He has worked at DST Group since 2006, in various roles and across different projects, mainly in the area of distributed systems security. Anton holds a PhD in Computer Science, an Honours degree in Pure Mathematics and a Bachelor degree in Maths and Computer Science, all from the University of Adelaide. His current research interests span the areas of autonomic/self-adaptive computing, distributed computing, software architecture and aspects of multi-agent systems, for the achievement of cyber resilience in IoT and Edge computing environments. Other research interests include architecture-level security, conceptual modelling and model-driven engineering.
  • Address: ADELAIDE, SA 5000, AUSTRALIA
  • Publications: ORCID |DBLP
  • Tags: Cyber Resilience | Autonomic and Self-Adaptive Computing | Distributed Software Architectures | Software Engineering
  • Highlight: I always enjoy collaborating with like-minded researchers and engineers across academia and other R&D organisations to develop innovative scientific solutions for complex, real-world problems, while advancing the state-of-the-art in a given area (or several areas!) in some tangible way.
  • Arindam is a Senior Research Scientist at Data61 in Commonwealth Scientific and Industrial Research Organisation (CSIRO), and a Research Fellow at Cyber Security Cooperative Research Centre (CSCRC). Before joining CSIRO, he was employed as Research Scientist at TCS Research and Innovation after gaining a PhD in Computer Science from the Department of Computer Science and Engineering, Indian Institute of Technology Delhi. His primary area of expertise is Artificial Intelligence (AI) and Machine Learning (ML). This is the scientific study of algorithms and statistical models that computer systems use to perform a specific task, without using explicit instructions. His broad research interests are Algorithms, Data Science, Network Science, Machine Learning and Optimization. Arindam has worked on several research projects such as evacuation planning, warehouse automation, legal data mining, citation analysis and patent analysis.
  • Address: MARSFIELD, NSW 2122, AUSTRALIA
  • Publications: Google Scholar
  • Tags: Algorithms | Data Science | Network Science | Machine Learning | Optimization
  • Highlight: I enjoy working for Data61 for several reasons: I am working on cutting edge problems that will positively impact the society; I’m collaborating with faculty members of Australian universities and I’m nurturing young minds. To do world class research, it is not only important to work with excellent researchers, but also to mentor the next generation and build a team of motivated people, who will be tomorrow’s leaders in technology. I particularly enjoy teaching and giving talks to young people and to encourage them to take a career in science and technology. Data61 is also giving me the opportunity to work with brilliant and nice people.
    • Bo is a senior research engineer at Data61, CSIRO. His research interests are distributed computing, deep learning, big data and blockchain. Bo worked in CMIS CSIRO from 2001 to 2006 as research engineer. After that, he worked in commercial software development industry for 6 years as senior software engineer and tech lead. In 2012, Bo re-joined CSIRO with first-hand commercial industry experience.
    • Address:  MARSFIELD, NSW 2122, AUSTRALIA
    • Publications:  Google Scholar
    • Tags: Distributed Computing | Deep Learning | Software Engineering
    • Highlight: With both commercial and research background, I enjoy working on the challenges from the real world’s.
  • Chandra is a post-doctoral fellow within CSIRO’s Data61. His research interests are in the field of privacy-preserving computation, distributed systems security, and network information theory. His current work includes data security and the application of privacy-preserving approaches to machine learning in the health domain.
  • Publications: Google Scholar
  • Tags: Privacy-preserving Computation | Machine Learning | Network Information Theory | Data Security and Privacy.
  • Cody is a Postdoctoral Research Fellow working within both Data61 and the Cyber Security Cooperative Research Centre (CSCRC) on Cyber Deception. He gained his Doctorate from the Australian National University (ANU) in Computer Science, in explainable AI for formal systems diagnostics.
  • Address: CANBERRA, ACT 2601, AUSTRALIA
  • Publications: ORCID | Publons | Research Gate | Google Scholar | DBLP
  • Tags: Cyber Deception | Machine Learning | Explainable AI | Algorithms | Optimisation | Diagnosis | Cryptology & Cryptography
  • Dharma’s goal is to better understand the latest technology to develop applications.
  • Address: CANBERRA, ACT 2601, AUSTRALIA
  • Emma is a research fellow at CSIRO’s Data61 and Macquarie University. She has been in the Artificial Intelligence (AI) area since her PhD in UTS. She participated in the Machine Learning (ML) library of StellarGraph and worked on Traffic Network Analytics in the now-completed Investigative Analytics project. Her current research focuses on developing AI models and ML algorithms for complex online social networks, finding misinformation from dynamically changing flows of users, and detecting anomaly communities.
  • Address: MARSFIELD, NSW 2122, AUSTRALIA
  • Publications: Google Orcid
  • Tags: Social Network Computing | Graph Mining | Machine Learning | Artificial Intelligence
  • Highlight:  I am sensitive to all kinds of data surrounding human beings. I enjoy modelling our real life to an applicational research problem. I am passionate to solve these problems with computational algorithms.
  • Geoff is a senior data scientist and research engineer in CSIRO Data61’s Security Data Science team, with a long-term background in statistical machine learning, reasoning under uncertainty, and applied decision support systems. He worked on the now-completed Investigative Analytics project, active in both the development of the StellarGraph machine learning library and researching data science approaches to anti-money laundering, spammer detection and other graph-related problems. Geoff is currently working on data science projects involving identity and access management (IAM), and misinformation networks.
  • Address: ADELAIDE, SA 5000, AUSTRALIA
  • Publications: ORCID | Research Gate
  • Tags: Reasoning Under Uncertainty | Statistical Machine Learning | Decision Support Systems | Graph Analytics
  • Highlight: I enjoy mathematical and computational modelling of general problems from a wide variety of fields. My particular passion is developing and implementing probabilistic models for machine learning to provide decision support for solving real-world problems.
  • Hajime is a Principal Research Scientist at CSIRO’s Data61. Hajime is with CSIRO since 1999 conducting research at the Radiophysics Laboratory in Marsfield.  He has led various projects delivering outcomes for Rockwell Collins, Boeing, DST Group, Telstra, Free TV, Department of Communications, and Australian SMEs. His current research interests include quantum security, signal intelligence, and perfect security in wireless communication.  Hajime received B.E. and M.E. from the University of Electro-Communications, Tokyo, Japan in 1993 and 1995, and PhD from the University of Technology, Sydney, Australia in 1999.
  • Address: MARSFIELD, NSW 2122, AUSTRALIA
  • Publications: ORCID | Google Scholar
  • Tags: Quantum Security | Signal Intelligence
  • Highlight: I love leading and delivering projects aiming towards challenging but clear goals together with talented members with specialised expertise.    
  • A determined and enthusiastic researcher, Hamza is interested in revolutionising classical decision-making processes towards enabling a next-generation of intelligent, expert-based and privacy-aware decision support systems. He is passionate about developing new intelligent techniques to model and solve decision-making situations from (individual) day-to-day activities (e.g., recommend healthy lifestyle choices and preventative health measures) to (group) short and long-term strategic planning (e.g., support investments decisions and project planning). He received his Master of Science in Information Systems, Decision Science, Networks and Multimedia in 2014 from Sidi Mohamed Ben Abdellah University, Fez (Morocco) and his PhD in Computer Science in 2018, from Moulay Ismail University, Meknes (Morocco).
  • Address: DOCKLANDS, VIC 8012, AUSTRALIA
  • Publications: ORCID |Google Scholar |ResearchGate |DBLP
  • Tags: Decision Support Systems | Recommender Systems | Soft Computing | Fuzzy Modelling | Multi-Criteria Decision-Making Processes | Consensus Reaching Processes | Digital Health Interventions | Behaviour Change
  • Highlight: I live for challenges, making a lasting real-life impact and dreaming of doing even bigger things. Being a researcher gives me the opportunity to live a new adventure every day and push myself to a changing limit towards achieving my goals.
  • Jongkil has several years of experience in security assessment on security products and cryptographic modules. He was one of the primary evaluators of the Korean e-passport and the government certificate issuing system. At CSIRO’s Data61, he has been conducting multiple projects for Cyber Physical System (CPS) and Internet of Things (IoT) system security. He is interested in assessing the security mechanism of applications and systems and designing security protocols for resource-limited devices.
  • Email: jonkil@uow.edu.au
  • Publications: Google Scholar
  • Tags: Internet of Things | Cyber Physical System | Security Assessment | Secure protocol
  • Highlight: As a researcher, finding a problem is sometimes as difficult as finding a solution. By providing interesting questions, the work at Data61 keeps inspiring me as it is allowing me to face many real-world problems. I am proud of the work I do every day at Data 61 and treasure the opportunity to collaborate with fabulous programmers and researchers.
  • Josef is a member of the editorial boards for International Journal of Information Security (Springer), Journal of Mathematical Cryptology (De Gruyter), Open Access Journal of Cryptography (MDPI), International Journal of Applied Cryptography (Inderscience Publishers), Fundamenta Informaticae (IOS Press), International Journal of Security and Networks (Inderscience Publishers) and International Journal of Information and Computer Security (Inderscience Publishers). He published five books, edited 10 books (conference proceedings), six book chapters, and more than 300 papers in refereed journals and refereed international conferences. Josef supervised seven postdocs, 35 PhD students, 28 MSc Hons and 11 Hons students. His recent research grants include: ARC Discovery, Privacy preserving Data Processing on the Cloud, DP180102199, Chief Investigator, AU$413K, 2018-2020; NCN Opus, ComCrypt – Efficient and Secure Algorithms for Joint Compression and Encryption, Chief Investigator, PLN730K, 2019-2022.
  • Address: MARSFIELD, NSW 2122, AUSTRALIA
  • Publications: ORCID |Google Scholar
  • Tags: Cryptology and Information Security | Secure Multiparty Computations | Cryptographic Protocols | Copyright Protection | E-commerce | Web Security | Cybercrime Prevention
  • Kristen is a Senior Research Scientist at Data61 and the Cyber Security CRC, working on cyber deception. Previously she was employed as a data scientist at Telstra and Gro Intelligence, where she worked on a broad range of domains and use cases. She completed her PhD in geometric analysis at the Max Planck Institute for Gravitational Physics. Her broad research interests are in Artificial Intelligence (AI) and Machine Learning (ML).
  • Address: DOCKLANDS, VIC 8012, AUSTRALIA
  • Publications: Google Scholar
  • Tags: Cyber Deception | Machine Learning | Data Science
    • Recent years have seen Mardi develop his skills in industry, first with IBM Research (Melbourne) and then Seeing Machines (Canberra). His focus was on data management, analysis and visualisation, and C++ development for Pilot Monitoring Systems. He holds a PhD in Computer Science from RMIT University, with prior research on P2P virtual environments, simulation systems and disaster management.
    • Address: MARSFIELD, NSW 2122, AUSTRALIA
    • Publications: ORCID |github
    • Tags: Phishing | Data Analysis | Data Visualisation | Distributed Systems
    • Highlight:  I just like getting things done.

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  • Meisam is a Research Scientist at Data61 in Commonwealth Scientific and Industrial Research Organisation (CSIRO), with a background in privacy preserving mechanism designs, statistical inferences, and secure computation. Previously he worked on the privacy preserving spatio-temporal monitoring project (Universite De Montreal) and the privacy preserving cloud computing and auditing in the Audit Ready Cloud team (joint collaboration between the Ericsson Research Canada and the Concordia Institute for Information Systems Engineering). He also had several collaborations with the Department of Computer Science at the Illinois Institute of Technology (IIT). Prior to that, Meisam has obtained his bachelor degree from the Sharif University of Technology, Tehran (Electrical Engineering department).
  • Address: MARSFIELD, NSW 2122, Australia
  • Publications: Google Scholar
  • Tags: Differential Privacy | Privacy Preserving Machine Learning | Anonymity |Computational Learning Theory | Secure Multiparty Computation
  • Highlight:  Privacy in the first glance seems to be a luxury concept, but is that really true? I find the main concept behind it so crucial that everyone sooner or later will demand for it; just like other technologies, e.g., Wifi, human thinking of human life without this technology will be hard one day.
  • Mohammed is a postdoctoral fellow at Data61. He holds a bachelor and masters degree in Computer Engineering. His research interests include cyber security, machine learning, Internet of Things, and trust.
  • Address:  MARSFIELD, NSW 2122, AUSTRALIA
  • Publications: Google Scholar
  • Tags: Cyber Security | Machine Learning | Internet of Things
  • Mohan is an experienced researcher interested in developing intelligent solutions to facilitate decision support, decision automation and decision optimisation in cyber-physical-social ecosystems. Some notable examples of his research work include decision automation/optimisation for cloud cost management, enterprise-level decision support for cloud migration and automated performance benchmarking of cloud infrastructure. At CSIRO’s Data61, his research is focused on all things related to human-centric cyber security.
  • Address: DOCKLANDS, VIC 8012, AUSTRALIA
  • Publications: ORCID |Google Scholar |ResearchGate |DBLP
  • Tags: Human Centric Cyber Security | Distributed AI | Decision Support | Decision Automation | Decision Optimisation | Autonomic Computing | Distributed Systems
  • Ejaz’s current research interests include continuous authentication, data-driven security, malware analysis, applied machine learning, and network security. He received a PhD degree in wireless communication from the Kyung Hee University of South Korea in 2014. From June 2014 to May 2015, he was postdoctoral researcher with Pohang University of Science and Technology (POSTECH). Between 2015 and 2018, he spent time as a research professor in the department of Electrical and Computer Engineering, Sungkyunkwan University (SKKU) South Korea. He was with SKKU Security Lab (seclab), College of Software, Sungkyunkwan University, as a research professor.
  • Address: MARSFIELD, NSW 2122, AUSTRALIA
  • Publications: Google Scholar |ORCID
  • Tags: Data-driven Security | Continuous Authentication | System Behavioural Modelling | Malware Analysis | Applied Machine Learning
  • Highlight: I’m passionate about investigating challenging research problems and doing impactful research that could benefit others. ‘The scientists of today think deeply instead of clearly. One must be sane to think clearly but one can think deeply and be quite insane.’, Nikola Tesla.
  • Muhammed completed his PhD study in May 2020. His research mainly focuses on lattice-based cryptography, a promising candidate for quantum-safe cryptography. In particular, he is interested in lattice-based zero-knowledge proofs and their applications to advanced cryptographic tools and protocols such as ring/group signatures and blockchain protocols.
  • In today’s computerised world, billions of people rely heavily on security systems that protect a tremendous amount of sensitive information ranging from banking information to government secrets. The algorithms currently used in such systems rely on classical cryptographic assumptions that do not provide security against powerful quantum computers. In this thesis, new techniques in lattice-based cryptography, one of the most promising candidates for quantum-safe cryptography, are explored with a practice-oriented approach in mind. A particular focus is on privacy-preserving protocols and their higher level applications. To this end, the thesis starts from building foundational techniques and proceeds towards practical schemes, constructing a full-fledged quantum-safe blockchain protocol in the end.
  • Address: MARSFIELD, NSW 2122, AUSTRALIA
  • Publications: dblp | Google Scholar
  • Tags: Post-quantum Cryptography | Lattice-based Cryptography | Privacy-preserving Protocols

 

  • Chamikara is a research fellow in cybersecurity at CSIRO’s Data61. Chamikara also works as a lecturer at the Department of Statistics and Computer Science, Faculty of Science, University of Peradeniya, Sri Lanka. He received his B.Sc. Special (Hons.) in Computer Science from the University of Peradeniya, Sri Lanka in 2010 and his Master of Philosophy in Computer Science from the University of Peradeniya, Sri Lanka in 2015. His research interests include information privacy and security, data science, deep learning, and fuzzy logic.
  • Address: DOCKLANDS, VIC 8012, AUSTRALIA
  • Publications:  ORCID |Google Scholar |ResearchGate |ResearchID
  • Tags: Information Privacy and Security | Data Science | Cyber Security
  • Highlight: I am delighted to be a part of Data61. It is full of enthusiastic scientists who make Data61 one of the best research institutes in the world.

  • Nazatul is a Research Associate working with CSIRO’s Data61 and Advanced Cyber Security Engineering Research Centre (ACSRC), The University of Newcastle. Prior to that, he was working as a Research and Development Engineer in the RST Department at Télécom SudParis, Institute Polytechnique de Paris, France. He also worked as a Senior Research Fellow in Govt. of India sponsored R&D projects. Nazatul received his Ph.D. from the Indian Institute of Information Technology Guwahati in November 2019. He also completed Master of Technology in Information Technology and Bachelor of Engineering in Computer Science and Engineering. His research interests include Privacy Enhancing Technologies (PETs) and Applied Cryptography for distributed systems and decentralized architectures, i.e., IoT, Fog, Cloud, Named Data Networking (NDN); Searchable Encryption; Role-Based Encryption; and Access Control
  • Address: MARSFIELD, NSW 2122, AUSTRALIA
  • Publications: Orcid | Google Scholar
  • Tags: Applied Cryptography | Data Privacy | Cybersecurity
  • Raj provides leadership in engineering innovation, project delivery and collaboration to the Distributed Systems Security group. His research interests include security, cloud computing, wireless sensor network and bioinformatics.
  • Address: CANBERRA, ACT 2601, AUSTRALIA
  • Publications: Google Scholar
  • Tags: Software Engineering | Distributed Systems | Cybersecurity | Cloud/fog/edge Computing | Multidisciplinary science
  • Highlight: I am passionate about delivering our science excellence to industries through collaboration and partnership for the economic, social and environmental benefit of society.
  • Regine’s career has been devoted to Training and Education in all shape and forms, taking care of staff, project management, operations, grants and academic management, training development and assessment, and stakeholder engagement particularly with academia, public sector and national security agencies.
  • Address: ADELAIDE, SA 5000, AUSTRALIA
  • Highlight: Professionally, I’m driven by my passion for team work. Nothing makes me happier than supporting a team to achieve great goals, especially teams composed of diverse and talented individuals, as you can find here at Data61. Also, I particularly enjoy driving innovation and continuous improvement.
  • Selasi’s research interests and expertise lie primarily at the intersection of database theory and systems, data mining and machine learning. His work seeks to develop sound theoretic foundations that enable the design of effective and efficient solutions to tackle real-world problems. He was a research fellow at the University of South Australia and collaborated with Data to Decisions CRC on their Integrated Law Enforcement project. Some of his notable works include: (1) the development of novel classes of integrity constraints for both relational and graph data, (2) the design of techniques for automatic knowledge discovery in data, and (3) the development of a precise entity linking and resolution system for identifying multiple, differing, and possibly contradicting representations of unique real-world entities in relational and text data. Currently, at CSIRO’s Data61, his work studies and proffers new ideas and techniques for addressing diverse cyber security problems using data science and machine learning principles.
  • Address: ADELAIDE, SA 5000, AUSTRALIA
  • Publications: ORCID |DBLP |Google Scholar
  • Tags: Database Theory | Data Mining | Machine Learning | Data Quality | Database Management
  • Highlight:The thrill of the ‘Eureka’ moment, the joy of discovery, and the fulfilment of impactful solutions are the major driving forces that propel my research work and render all the toil, frustrations, and challenges that often come with research bearable. However, on the day-to-day basis, a cup of good coffee does the trick! And, I find the following quote by Peter Drucker inspiring: ‘Knowledge has to be improved, challenged, and increased constantly or it vanishes’.
  • Seung is a software engineer at CSIRO’s Data61 and has been with the organisation since 2018. In 2002, he started his professional career as a research engineer in the Automatic Sorting and Processing Research team, ETRI. He developed an OCR (optical character recognition) engine successfully for automated mail sorting systems. From mid-2011, Seung worked as a Senior Software Engineer at Lexxe Pty Ltd in Sydney, Australia. His responsibilities included developing a sentiment search engine using sentiment analysis technologies, which he did successfully. His current research interests include cyber security, natural language processing and machine learning.
  • Address: MARSFIELD, NSW 2122, AUSTRALIA
  • Publications: Google Scholar
  • Tags: Cyber Security | Machine Learning | Software Engineering
  • Highlight: I’m very interested in problem solving. Especially if the problem is related to my expertise, I’m very happy to work on it.
  • Sharif has joined Data61 Distributed System Security group early 2019 as a Research Scientist and Cybersecurity CRC fellow. Sharif has a PhD in computer security from RMIT University, Melbourne, Australia 2017. He also has several years of experience working as a senior software and research engineer with Californian based technology companies. He has contributions to a few US IP filled Patents in cybersecurity. He received a Masters degree in cybersecurity from RMIT University, Australia in 2013. Based on the results/achievements during his Master/PhD study, he received several awards: Significant achievement by Golden Key organisation in 2012, Boeing postgraduate scholarship by Boeing in 2013, Recognition of contribution by RMIT university in 2013, Best master student by RMIT University in 2014, nomination for the student of the year in the state of Victoria 2014, Publication Award 2015-2016 consecutively, RMIT prestigious VC award of Research Excellence in Technology 2018, and Eureka innovation award 2018 for co-founding EyeCura startup in cybersecurity. He has mentored 30+ research interns and joiner engineers. He also has several publications in high-quality venues. Dr Abuadbba has recently helped in defining Data61 Cyber Security CRC projects, such as Deception as a Service and Smart Shield which got +$3M dollar funds. He is currently supervising 2 PhD students and 2 honours. His specialist and interests include AI & cybersecurity, IoT-Cloud Security, Distributed system security and watermarking.
  • Publications: ORCID |Google Scholar
  • Tags: Artificial Intelligence &  Cybersecurity | Big Data Privacy and Cloud Security | Internet of Things (IoT) | Cryptography | Watermarking
  • Highlight: I enjoy working at CSIRO’s Data61 because we are solving real-life problems that positively impact broader public good. We also have the opportunity to collaborate with the best research’s and students to solve critical research challenges collaboratively.
  • Shuo’s earlier research work and PhD was in the School of Computing and Information Systems, University of Melbourne (2015-2018). His research interests are in the areas of: Adversarial Machine Learning (AML), attacks and defences of deep neural networks, secure deep learning and artificial intelligence on medical/healthcare data, and computer security, privacy, and applied cryptography, including security and privacy issues in systems, software, networking, and databases.
  • Publications: Google Scholar
  • Tags: Adversarial Machine Learning | Computer System Security and Privacy
  • Sushmita is a Senior Research Scientist at CSIRO’s Data61. Prior to joining Data61, she spent seven years in academia, as Assistant Professor at IIT Indore and as Associate Professor at Indian Statistical Institute, Kolkata. Her research interests are in applied cryptography, blockchains, data privacy and cybersecurity. Sushmita’s aim is to bridge the gap between theory and practice, by designing practical, efficient and provably secure protocols that can be deployed in real-life applications. She actively collaborates with industry, academia and government and has delivered over 70 technical lectures around the world. She is a senior member of ACM and IEEE. At Indian Statistical Institute, she led a flourishing team of Masters, PhD students and PostDocs. She has won several competitive grants like Samsung GRO Award, NetApp Faculty Fellowship, Cisco Academic Grant and IBM Research OCSP grant. She enjoys mentoring and cares about research that positively affects people’s lives.
  • Publications: Google Scholar |ORCID
  • Tags: Applied Cryptography | Blockchain | Data Privacy | Cybersecurity
  • Tina is a postdoctoral research fellow at Monash University jointly with CSIRO’s Data61. Her research focuses on human centric cyber security, including studying how humans interact with cybersecurity and developing tools to assist both humans and the system in improving security effectiveness.
  • Address: DOCKLANDS, VIC 8012, AUSTRALIA
  • Publications: Google Scholar | ORCID| ResearchGate
  • Tags: Humans | Usable security and privacy | AI
  • Wei is a Research Scientist at CSIRO’s Data61. Prior to that, he worked as a Research Fellow and Research Degree Supervisor in the School of Information Technology and Mathematical Sciences, University of South Australia. Wei was also one of the key Research Scientists in the Beat The News (BTN) project at the Data to Decisions CRC which aimed to provide national security agencies with automated and continuous big data analytics capability. His work focuses on extracting insights from big/complex data, performing predictive analytics to support decision making and conducting risk analysis through event detection/topic discovery using social media data to assist with proactive prevention of hazard and security issues. He has supervised two PhD students, five Masters students and three Honours students. His research interests include data mining and machine learning, predictive analytics, social media analytics, summarisation and visualisation. He obtained his PhD in Computer Science at the National University of Singapore.
  • Address: ADELAIDE, SA 5000, AUSTRALIA
  • Publications: Google Scholar
  • Tags: Data Mining | Machine Learning | Predictive Analytics | Social Media Analytics | Artificial Intelligence | Visualization
  • Highlight: I’m passionate about tackling real-world challenges through research that leads to positive impact.
  • Yanjun Zhang is a research fellow within CSIRO’s Data61 and The University of Queensland. Her research interests include privacy-preserving computing, federated learning and data mining.
  • Address: DOCKLANDS, VIC 8012, AUSTRALIA
  • Tags: Privacy-preserving Computation | Machine Learning | Data Security and Privacy
  • Zhi Zhang is now a postdoctoral fellow at Marsfield site, Data61, CSIRO. He received his bachelor from Sichuan University, China in 2011, master from Peking University, China in 2014 and Ph.D. from the University of New South Wales in 2021. His research interests are in the areas of system security, virtualization, and adversarial artificial intelligence.
  • Address: MARSFIELD, NSW 2122, AUSTRALIA
  • Publications: ORCID |Google Scholar
  • Tags: System Security | Virtualization | AI Security