As per other years there will be a number of invited speakers who will talk on various aspects related to the use of imaging technologies to effect crime detection and prevention.
Dr Eduard Vazquez , Research Technical Manager, AnyVision, United Kingdom.
Bridging research in AI in academia and Industry
It’s not exactly a secret that a dramatic change has occurred in the AI landscape. A change that has reinvented the relationship between academia and industry in the field, even drawing a question mark regarding the very same concept of AI. I’m going to explain my views on how the binomial academia-industry could work but also, and equally important, I will extend this relationship to a third concept, namely, real adoption of Computer Vision products in the real world. Research isn’t happening anymore just in the academia, but also in the industry. The borders between these two, previously well-separated worlds, are fading away. Industry is publishing papers in top conferences and academia is claiming benefits from the commercial applications. But such -whether good or bad- change cannot be understood without the incredible amount of investment that is being thrown into a plethora of new start-ups and, often times, questionable products.
Perhaps the two main questions are:
In this talk, I’ll try to shed some light into these two critical questions.
- Is there a real, direct relation between the initial research occurring in a university and a final product with commercial success, in such manner that academia should claim benefits?
- What is the effect that massive growth on investment is having in our field and the quality of future research and products?
Dr. Eduard Vazquez has been working on Computer Vision for the last 15 years. Former lecturer of Artificial Intelligence, he has 10 years’ experience on commercialising a variety of methods for medical imaging, retail, manufacturing, surveillance, health and safety and real-time video analytics. His main focus has been to understand the gap between theory and the real world in order to help delivering products that can be effectively adopted. He’s Research Technical Manager at Anyvision, where he works on face recognition for multiple use cases and industries and in-store analytics for retail, from cloud to edge.
Dr. Antonios Michalas, Department of Computing Sciences, Tampere University of Technology, Finland
Fake News Outbreak 2020: Can we Stop the Virus Spreading?
Computer viruses have come a long way from the early days of personal computers when amateur hackers were designing simple software that could harm the proper functionality of a single machine. Nowadays, computer viruses have become more sophisticated and are able of exercising severe impacts aimed not only on large computer networks but social sphere of life as well (e.g. NHS WannaCry Attack). However, all viruses are driven by the very same principle: Self-replicating programs designed to spread itself from computer to computer. Nowadays, and with the intense use and spread of social media, many Internet users are facing the same challenge: Deciding whether to believe something on the Internet or not. Misinformation behaves like a virus. Fake news and false rumors reach more people, penetrate deeper into the social network, and can spread as fast as accurate stories. Even though misinformation, spin, lies and deceit have been around forever, in the past years it was easier to identify them since we were mainly reading news trough trusted and evaluated sources. However, making judgments about what to trust on the web can be really challenging. In this talk we will present a high-level overview of the problem of spreading fake news and its possible impact and will describe the base that needs to be built to successfully provide mechanisms that will reduce the spread of fake information.
Prof. Antonis Michalas received his PhD in Network Security from Aalborg University, Denmark and he is currently working as an Assistant Professor at the Department of Computing Sciences, at Tampere University, Finland. At Tampere University, Antonis is co-leading the Network and Information Security Group with Prof. Billy Bob Brumley. The group comprises PhD students, professors and researchers. Group members conduct research in areas spanning from the theoretical foundations of cryptography to the design and implementation of leading edge efficient and secure communication protocols. Apart from his research work at the Network and Information Security Group, as an assistant professor he is actively involved in the teaching activities of the University. Finally, his role expands to student supervision and research projects coordination. Furthermore, Antonis has published a significant number of papers in field-related journals and conferences and has participated as a speaker in various conferences and workshops. His research interests include private and secure e-voting systems, reputation systems, privacy in decentralized environments, cloud computing, trusted computing and privacy preserving protocols in eHealth and participatory sensing applications.
Dr Ansgar Koene University of Nottingham, UK.
Dr. Ansgar Koene is an Assistant Director at the EY Global AI Lab and a Senior Research Fellow at the Horizon Institute for Digital Economy Research (University of Nottingham). He has a multi-disciplinary research background, having worked and published on topics ranging from Policy and Governance of Algorithmic Systems (AI), data-privacy, AI Ethics, AI Standards, bio-inspired Robotics, AI and Computational Neuroscience to experimental Human Behaviour/Perception studies. He holds an MSc in Electrical Engineering and a PhD in Computational Neuroscience.
At EY Global, Ansgar acts as AI Regulatory Advisor supporting the Policy activities on Trusted AI. Within Horizon Ansgar is co-investigator on the EPSRC funded UnBias and ReEnTrust projects where he leads the stakeholder engagement work bringing together regulatory organizations, industry, NGOs, and academics to development policy, design and education recommendations.
Ansgar chairs the IEEE P7003 Standard for Algorithmic Bias Considerations working group, is the Bias Focus Group leader for the IEEE Ethics Certification Program for Autonomous and Intelligent Systems (ECPAIS), and a trustee for the 5Rgiths foundation for the Rights of Young People Online.
(College of Design, Creative and Digital Industries)