Keynote Speakers
Keynote Speaker
Prof. Roberto Montemanni
Professor of Advanced Algorithms
Dalle Molle Institute for Artificial Intelligence (IDSIA)
University of Applied Sciences of Southern Switzerland (SUPSI)
Galleria 2, CH-6928 Manno, Switzerland
Homepage
Presentation
Roberto Montemanni is professor of advanced algorithms at the University of Applied Sciences of Southern Switzerland. He is also active as senior researcher at the Dalle Molle Institute for Artificial Intelligence and as research advisor for PhD students at the University of Lugano, Switzerland. He obtained a Laurea degree in Computer Science from the University of Bologna, Italy in 1999 and a Ph.D. in Applied Mathematics from the University of Glamorgan, UK in 2002. He is leading basic and applied research projects both at national and international levels. His main research interests are in the field of algorithms with applications in ICT and optimization.
Speech :
ICT For Healthcare: Challenges And Solutions
Population is aging in both developed and developing countries. As a consequence, healthcare and social service providers are getting more and more pressure to reduce their budget without affecting the quality of service, or even trying to improve it due to the increased expectations created by technological advances. New challenges arise at any level in the healthcare compartment, from strategic and operational planning to the effective integration of new technology. ICT is going to play a crucial role in this context.
In the present talk we will review a few software solutions, some self-standing and some integrated with hardware, that are developed in running international research projects. In detail, we will see an ICT application inspired by swarm robotics, for improving the quality of life of patients permanently or temporary constraints on a wheelchair. We will then review some operational planning tools aiming at increasing the efficiency of resource utilization and patients satisfaction. In the latter context emphasis will be given to home health care, that is configuring as a new frontier for health care.
Keynote Speaker
Suzy Moat
Associate Professor of Behavioural Science
Warwick Business School
University of Warwick
Scarman Road, University of Warwick, Coventry, West Midlands CV4 7AL, United Kingdom
Homepage
Presentation
Suzy Moat is an Associate Professor of Behavioural Science at Warwick Business School, where she co-directs the Data Science Lab. Her research investigates whether data on our usage of the Internet, from sources such as Google, Wikipedia and Flickr, can help us measure and even predict human behaviour in the real world. Moat’s work touches on problems as diverse as linking online behaviour to stock market moves (with Preis, Curme, Stanley, et al.), estimating crowd sizes (with Botta and Preis) and evaluating whether the beauty of the environment we live in might affect our health (with Seresinhe and Preis). The results of her research have been featured by television, radio and press worldwide, by outlets such as CNN, BBC, The Guardian, Wall Street Journal, New Scientist and Wired.
Moat studied Computer Science at UCL, where she was awarded the Faculty of Engineering Medal, and received a PhD in Psychology from the University of Edinburgh. Since 2011, Moat has secured £3.3 million of funding from UK, EU and US research agencies. With her collaborator and Data Science Lab co-director Tobias Preis, she recently led an online course on using big data to measure and predict human behaviour which attracted over 15,000 learners. She has also acted as an advisor to government and public bodies on the predictive capabilities of big data.
Speech :
Sensing and Predicting Human Behaviour With Internet Data
Our everyday usage of the Internet generates huge amounts of data on how humans collect and exchange information worldwide. In this talk, I will outline recent work in which we investigate whether data from sources such as Google, Wikipedia and Flickr can be used to measure and even predict real world human behaviour. I will provide case studies from the economic domain and beyond.
Keynote Speaker
Ari Moesriami Barmawi
Associate Professor of Multimedia Security
School of Computing
Telkom University
Bandung, Indonesia
Homepage
Presentation
Ari Moesriami Barmawi is a Lecturer and Researcher of Informatics at School of Computing, Telkom University. Ari was awarded a PhD in Computer Science from Keio University, Japan on March 2001. Her scientific interests focus on cryptography, security protocols, pseudo-random number generation, proof systems, information hiding (steganography and watermarking), and zero knowledge.
Recently, she has secured a research grant of Multimedia Content Security from both Telkom University and Wollongong University (2014-2016). Her work on QR Code Watermarking Method has been registered for obtaining an Indonesian Patent on 19 October 2014.
Speech :
Linguistic-based Steganography
Recently, people tend to use open channel communication for transmitting their information. However, open channel communication does not provide a facility for securing the information which is transmitted through this channel. So, it is not feasible to send secret information through the open channel. For securing the information, Linguistic Steganography is used. Linguistic steganography concerned with hiding secret information in natural language text. Using Linguistic Steganography, information may be transmitted through an open channel without being afraid to be detected by anyone other than receiver. This talk will discuss about various approaches/methods for hiding information in natural language which have been proposed.
