Abstract:I’ll invite you to discover the fundamentals of Money, and nowadays currencies, from the prehistoric times until now, and we will do as well a step into the future to grasp the technology and societal disruptions of Blockchain and the Smart Contracts technologies. Once familiarized with them, I will propose a series of challenges for you to develop together.
Bitcoin represents a next generation of currencies in an evolution that started 5000 years ago. Blockchain, originally the name of the tracking database underlying the virtual currency Bitcoin, the term is today used broadly to refer to any distributed electronic ledger using software algorithms to record transactions with reliability and anonymity. This technology is as well referred to as distributed ledgers (its generic name), cryptocurrencies (the virtual currencies that engendered it), bitcoin (the today prevailing cryptocurrency), and decentralized verification (its key differentiating attribute).
At its heart, Blockchain is a self-sustaining, peer-to-peer (P2P) database technology for recording and managing transactions with no central ledger or service involvement. Because Blockchain verification is handled through algorithms and consensus among multiple computers, the system is presumed immune to fraud, tampering, or any outside control. It is conceived to protect against domination of the network by any single computer or group of computers, which are relatively anonymous, identified only by pseudonyms, and every transaction can be relied upon.
The distributed ledger technology (DLT) that started with Bitcoin is pretty fast becoming a crowdsourced system for all types of verification. Could it replace notary publics, manual vote recounts, and the way banks manage transactions. Can it be applied elsewhere? The definite answer is, yes.
In the seminar, I will explain one example of Logo Detection as previous step for visual Identity Validation implementable in Blockchain. The hint: A standard Blockchain is indeed a database, a distributed database that relies on a probabilistic consensus mechanism; a Blockchain is also immutable; The consensus-based validation, right at the core operations of the Blockchain, might be the hint to be it applicable to Identity. And many others might follow. You will discover them. And let me go with you. The work is exploratory in nature.
Biography: Prof. de la Rosa is a full professor at the University of Girona
(UdG) Spain and Rensselaer Institute of Technology (RPI) New York, USA. He is also the director of the Technology Research Center Easy and of the Official
Master in Smart Cities of the UdG. He has MBA of the UdG and PhD in Computer Science from
the Autonomous University of Barcelona (UAB). De la Rosa is expert in
intelligent agents, social networks, virtual currencies, and digital
preservation and their application to the market. He is a researcher with
entrepreneurial vision that has created several spin-off companies starting from
the first world robotic soccer team as early as 1996. His research about
complementary and virtual currencies started from 2006 and soon later he got
fascinated by the disruption of the Blockchain technology and its advantages.
From then, he has been working on this topic to design new types of money
suitable for the Internet.
Professor and the Director for the Laboratory for Systems, Software and
Semantics (LS3) at Ryerson University
Title: Descriptive, Predictive and Prescriptive Modeling on User-Generated Content
Abstract: The identification of actionable insight from
social media and network content has received wide attention in the recent
years. This is primarily due to possibility of using this information to model
and predict user behavior, activity and decision making attitudes both at a
micro as well as a macro levels. An important aspect of social networks
pertains to the dynamic and temporal evolution of social content and structure.
In this talk, I will review three applications with due consideration paid to
temporality and show how the consideration of temporal aspects can enhance application-level
performance. These applications range from temporal community detection,
prospect user modeling and personalized event modeling.
Biography: Ebrahim Bagheri is the
Canada Research Chair in Software and Semantic Computing, Associate Professor
and the Director for the Laboratory for Systems, Software and Semantics (LS3)
at Ryerson University, and has been active in the areas of the Semantic Web and
Software Engineering. He was one of the research team leaders of the national
project on Radiation Emission Monitoring at the National Research Council
Canada and was responsible for leading the development of the Semantic Web and
Knowledge Engineering components of that project. In 2011, he co-chaired the
Canadian Semantic Web Conference in Vancouver, BC
(http://ceur-ws.org/Vol-774/). His work on Semantic-Driven Information
Extraction has resulted in several provisionally patented technologies
including Denote and Derive. Denote is a semantic annotation platform based on
Linked Open Data and Derive is an extensible architecture for unsupervised
knowledge extraction and object (concept and property-value pair) population
from the Web. He has been involved in projects that encompass the use of
Semantic Web technologies in the areas of e-commerce and business process
modeling funded by NSERC, AIF and IBM. Over the past 5 years, he has led
projects worth over $8M CAD including various NSERC research and development
projects with over 12 industrial partners. He is a senior member of IEEE, an
IBM Faculty Fellow and a member of PEO.