Keynote Speakers

We are proud to announce the confirmed speakers (to be completed):

ARES Keynotes:

Securing Our Future: The Importance of Academia in Closing the Cybersecurity Talent Gap
Dr. Alastair MacWillson, Chair of Institute of Information Security and Chair of Qufaro@Bletchley Park

 

 

Dr. Alastair MacWillson was formerly Global Managing Partner of Technology Consulting leading Accenture’s technology strategy and risk, operational performance and management, cyber and information security, and critical infrastructure protection businesses.  He also served on Accenture’s Technology leadership council.

Prior to joining Accenture in 2002, Dr. MacWillson was the global leader of the technology consulting practice in PricewaterhouseCoopers.  During his time with PwC he also had responsibility for the PwC technology venture fund, which had $50m invested in new business activities, and was also the founder and interim global CEO for beTRUSTed, a managed service e-security business of PwC which, after divestment, subsequently became CyberTrust and acquired by Verizon

Over the past 25 years Dr. MacWillson has lead technology transformation and security projects for major organizations such as World Bank, SWIFT, DTC, CBT, LSE, Boeing, Northrop Grumman, NASA, QinetiQ, BP, Shell, Exxon, Petrobras, Barclays, Goldman Sachs, Bank of America, Ericsson, BT, Telstra and Vodafone, as well as intelligence, security and defense departments of the UK, US, European, Australian and Indian Governments.   He has advised clients on information and cyber security in the nuclear research and nuclear energy sector and has worked on projects for the UKAEA and Lawrence Livermore National Laboratory.

Dr MacWillson has acted as an adviser to a number of governments on technology strategy critical infrastructure protection, cyber security and counter terrorism and has sat on related committees for the US and UK governments, the European Commission and the United Nations.

Prior to moving into consultancy in 1990, Dr. MacWillson worked in government service and held senior advisory positions on security and risk related strategy with the UK government and, through secondment, with the US State Department,

With his extensive background and experience in information technology, security and applied cryptography, Dr. MacWillson is internationally recognised as an expert in the field.  As such, he is a frequent speaker and commentator on technology and security issues and his insights have been featured by some of the top media outlets such as the BBC, CNN, The Wall Street Journal and the Financial Times.  He is also a visiting lecturer on security and technology and has presented on many programmes with MIT, Georgetown, Stanford, Cambridge, Surrey and RHUL universities and the LBS.  During his career Dr. MacWillson has published many articles and papers on technology and risk and has authored journals on cyber and information security, risk, cryptography and cyber terrorism, as well as a widely selling textbook on Hostage Taking Terrorism (McMillan 1992).

Dr. MacWillson has a B.Sc. in Physics (Lond), Postgraduate Diplomas in Computer Science and Digital Imaging, a Ph.D. in Theoretical Physics, a D.Phil. in Cryptographic Science and an EMBA from IMD in Lausanne.

Why strong foundations matter: Lessons from developing CyBOK, the Cyber Security Body of Knowledge
Awais Rashid, Professor of Cyber Security, University of Bristol

 

 


Awais Rashid
is Professor of Cyber Security at University of Bristol. His research focuses on cyber security of large-scale connected infrastructure systems, taking an integrated view of technical and human factors. He heads the Cyber Security Group at Bristol and is Director of the EPSRC Centre for Doctoral Training in Trust, Identity, Privacy and Security in Large-Scale Infrastructures (TIPS-at-Scale). He leads projects as part of the UK Research Institute on Trustworthy Interconnected Cyber-Physical Systems (RITICS) and UK Research Institute on Science of Cyber Security (RISCS), co-leads the Security and Safety theme within the UK Hub on Cyber Security of Internet of Things (PETRAS) and is a member of the UK Centre for Research and Evidence on Security Threats (CREST). He also leads a major international effort on developing a Cyber Security Body of Knowledge (CyBOK) to provide much needed foundations for education and training programmes.

CD-MAKE Keynotes:

Explainable Artificial Intelligence – Methods, Applications & Recent Developments
Wojciech Samek, Machine Learning Group at Fraunhofer Heinrich Hertz Institute

Abstract: Deep neural networks (DNNs) are reaching or even exceeding the human level on an increasing number of complex tasks. However, due to their complex non-linear structure, these models are usually applied in a black box manner, i.e., no information is provided about what exactly makes them arrive at their predictions. This lack of transparency may be a major drawback in practice. In his talk, Samek will touch upon the topic of explainable AI and will discuss methods, applications and recent developments. He will demonstrate the effectivity of explanation techniques such as Layer-wise Relevance Propagation (LRP) when applied to various datatypes (images, text, audio, video, EEG/fMRI signals) and neural architectures (ConvNets, LSTMs), and will summarize what he has learned so far by peering inside these black boxes.

 

Wojciech Samek is head of the Machine Learning Group at Fraunhofer Heinrich Hertz Institute, Berlin, Germany. He studied Computer Science at Humboldt University of Berlin as a scholar of the German National Academic Foundation, and received his PhD in Machine Learning from the Technical University of Berlin in 2014. He was a visiting researcher at NASA Ames Research Center, Mountain View, CA, and a PhD Fellow at the Bernstein Center for Computational Neuroscience Berlin. He was co-organizer of workshops and tutorials about interpretable machine learning at various conferences, including CVPR, NIPS, ICASSP, MICCAI and ICIP. He is part of the Focus Group on AI for Health, a world-wide initiative led by the ITU and WHO on the application of machine learning technology to the medical domain. He is associated with the Berlin Big Data Center and the Berlin Center of Machine Learning and is a member of the editorial board of Digital Signal Processing and PLOS ONE. He has co-authored more than 90 peer-reviewed papers, predominantly in the areas deep learning, interpretable machine learning, neural network compression, robust signal processing and computer vision.