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Fast Forward

Cyber Security, Privacy and Trust

26 November 2019


Fast Forward Cyber Security, Privacy and Trust is an invitation-only event providing an insight into the future of the security area. The UK’s leading researchers and innovators from the University of Edinburgh will present developments and innovations that have the potential to shape the discipline in the next 10-20 years.

Fast Forward is a free event with lunch provided and refreshments throughout the day. The event will be concluded with a drinks reception.

If you would like to attend, please register no later than Friday 1 November 2019.




  • View future technologies and the latest innovative thinking at the University of Edinburgh
  • De-risk the future through knowledge exchange
  • Identify areas for long-term competitive advantage with the help of leading researchers
  • Stay at the forefront of the latest thinking with access to world leading academic expertise, facilities and students


The University of Edinburgh houses a wide range of expertise to support companies. Fast Forward Cyber Security, Privacy and Trust will focus on the following themes.

Protocols and Programme Security

Security in Society

Quantum Security

Secure Future Networks

Cryptography and Distributed Ledger

AI & Security

Humans & Security

IoT, Devices & System Security


Alistair Fenemore

Alistair Fenemore is a senior information/cyber security and risk professional with extensive global experience gained over nearly 30 years working in the private and public sectors.  He joined the University of Edinburgh in February 2016 as their first Chief Information Security Officer and is responsible for the overall information security strategy and policy.  He provides advice, guidance and insight on how the University can best operate securely and meet the constant challenge of operating in a digital, evolving environment.  His Information Security team works across all Colleges and Support Groups to ensure that appropriate technical and procedural controls are in place to manage the risks associated with processing large volumes of personal and sensitive data.

Professor David Aspinall

Prof David Aspinall holds a personal chair in Software Safety and Security at the University of Edinburgh.  He founded the cross-discipline Edinburgh Cyber Security, Privacy and Trust Institute and is Director of the UK government-recognised Academic Centre of Excellence in Cyber Security Research at the University of Edinburgh.  He is also a Fellow of the Turing Institute for Data Science and AI in London. 

Prof. Aspinall has contributed to a substantial body of research in machine-assisted mathematics, programming and specification languages, and computer security. His current research interests cover software security, anomaly detection and malware, security threat modelling and foundations for combining formal methods with AI for security.

Dr Paul Patras

Paul Patras is a Reader (Associate Professor) and Chancellor’s Fellow in the School of Informatics at the University of Edinburgh, where he leads the Internet of Things (IoT) Research Programme.

He held visiting research positions at the University of Brescia, Northeastern University, Technical University of Darmstadt, and Rice University. He sits on the steering committee of ACM WiNTECH, serves as an associate editor of IEEE Communications Letters, advises the ITU-T Focus Group on Machine Learning for Future Networks including 5G, and is a senior member of the IEEE.

His current interests include mobile intelligence and IoT security and privacy.

Professor Aggelos Kiayias

Aggelos Kiayias is chair in Cyber Security and Privacy and director of the Blockchain Technology Laboratory at the University of Edinburgh. He is also the Chief Scientist at blockchain technology company IOHK.

His research interests are in computer security, information security, applied cryptography and foundations of cryptography with a particular emphasis in blockchain technologies and distributed systems, e-voting and secure multiparty protocols as well as privacy and identity management. 

He has over 100 publications in journals and conference proceedings in the area. He is an associate editor of the IEEE Transactions on Dependable and Secure Computing and he has served as the program chair of the Cryptographers’ Track of the RSA conference in 2011 and the Financial Cryptography and Data Security conference in 2017. He was the general chair of Eurocrypt 2013. He is currently the program chair of Real World Crypto 2020 and the International Conference on Practice and Theory of Public-Key Cryptography 2020.

Dr Claudia Pagliari

Claudia is a senior scientist at the University of Edinburgh Medical School, where she leads the eHealth Interdisciplinary Research Group and the masters programme in Global eHealth. She is also a founding member and theme leader of the NHS Digital Academy.

Her research involves horizon scanning, evaluation studies, and critical reviews of digital health innovations and programmes, including their implementation and effectiveness and their ethical implications. She is a well-known public speaker, social media commentator and researcher on digital ethics, trust, and privacy. For example, her recent publications consider the safety of therapeutic chatbots, ethics of social media mining, risks of data leakage from health apps, privacy in consumer genetic testing, and the influence of ‘fake news’ on public trust and safety during disease outbreaks. She also studies the ways in which new forms of data and innovations such as blockchain and AI can help to improve the equity, transparency and accountability of health systems and biomedical research.

She is an editor of JMIR Medical Informatics, PLOS Digital Health and the Journal of Global Interprofessional Workforce Research, a Fellow of the Royal College of Physicians and a scientific expert for the European Commission, the World Health Organisation and various international research funding agencies.

Dr Kami Vaniea

Kami Vaniea is a Lecturer in Cyber Security and Privacy at the University of Edinburgh’s School of Informatics. Her research interests are in the human factors of security and privacy. The goal of her work is to make security and privacy technologies more accessible for a wide range of users including end users, developers, and system administrators. Her recent projects include: understanding barriers to software update installation, privacy concerns of content viewers, permission setting privacy across different cultures, and helping small app designers create secure health apps.

Kami is currently Head of the Technology Usability Lab In Privacy and Security (TULIPS), Member of the Security and Privacy group, which is in turn part of Edinburgh’s Academic Centre of Excellence in Cyber Security Research (ACE-CSR), Member of the Institute for Language Cognition and Computation, Associated with the Laboratory for Foundations for Computer Science and Associated with Design Informatics.

She was previously an Assistant Professor in the School of Informatics and Computing at Indiana University and a post doctorial researcher in the Media and Information department at Michigan State University. Her PhD is from Carnegie Mellon University’s Computer Science Department and her thesis looked at the human factors of access control systems.

Professor Michael Rovatsos

Michael Rovatsos is a Professor of Artificial Intelligence at the School of Informatics and Director of the Bayes Centre, one of five data-driven innovation hubs at the University of Edinburgh hosted within the College of Science and Engineering. He is also Turing University Lead for the University of Edinburgh at the Alan Turing Institute, the UK’s National Institute for Data Science and AI.

In his research, Dr Rovatsos develops AI algorithms and architectures to support collaboration between humans. Think sharing economy, electronic markets, logistics and supply chains, or complex financial services. Making AI safe and ensuring it behaves in responsible ways is an important part of this vision. 

Professor Elham Kashefi

Elham Kashefi is a Professor of Computer Science and Personal Chair in quantum computing at the School of Informatics at the University of Edinburgh, and Director of Research at the CNRS LIP6 Sorbonne Universite. Her work has included contributions to quantum cryptography, verification of quantum computing, and cloud quantum computing.