Presented by:

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Abdullah Uz Tansel

Baruch College-CUNY

Abdullah Uz Tansel is professor of Computer Information Systems at the Zicklin School of Business at Baruch College and Computer Science PhD program at the Graduate Center. His research interests are database management systems, temporal databases, data mining, and semantic web. Dr. Tansel published many articles in the conferences and journals of ACM and IEEE. Dr. Tansel has a pending patent application on semantic web. Currently, he is researching temporality in RDF and OWL, which are semantic web languages. Dr. Tansel served in program committees of many conferences and headed the editorial board that published the first book on temporal databases in 1993. He is also one the editors of the forth coming book titled Recommendation and Search in Social Networks to be published by Springer. He received BS, MS and PhD degrees from the Middle East Technical University, Ankara Turkey. He also completed his MBA degree in the University of Southern California. Dr. Tansel is a member of ACM and IEEE Computer Society.

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Throughout the history, exchange of trusted information among people played an essential role in every aspect of their lives: socially, economically and politically. Blockchain is an innovation in database technology for keeping temper proof (trusted) data in a permanent, immutable, decentralized, global, and trustless ledger. It combines distributed computing, databases, networks and cryptography and is relatively new, and it is rapidly evolving. It allows people, organizations and machines to digitize their current relationships as well as forming new secure digital ones since data is disclosed, secured and recorded differently in a blockchain database system. In this talk, we will formalize the blockchains as a database and explore how blockchain concepts can be incorporated to traditional relational database in general and to PostgreSQL in particular.

Date:
2020 November 12 10:00
Duration:
1 h
Room:
Online
Conference:
Postgres Webinar Series
Language:
Track:
Data
Difficulty:
Requires Registration:
Yes (Registered: 95)