IMPORTANT DATES

2020
 Abstract submission opens
1 June
 Final submission deadline 7 Oct
 Manuscripts due for FastTrack
 publication
23 Nov
 Early Bird registration ends 18 Dec
 Early registration ends 31 Dec


2021
 Short Courses begin
11 Jan
 Symposium begins
18 Jan
 All manuscripts due
8 Feb
 Conference Portal Closes
30 April

Electronic Imaging 2021

Introduction to Blockchain

Course Number: SC07

Introduction to Blockchain
Instructor: Gaurav Sharma, University of Rochester
Level: Introductory
Duration: 2 Hours plus 15-minute break and 30-minute post-class discussion
Course Time:
    New York: Thursday 14 January, 18:30 – 20:45
    Paris: Friday 15 January, 00:30 – 02:45
    Tokyo: Friday 15 January, 08:30 – 10:45

Benefits
This course enables the attendee to:

  • Explain how the blockchain construction provides resistance against tampering.
  • Distinguish between centralized and distributed ledgers and highlight their pros and cons.
  • Describe the concepts of proof-of-work and proof-of-stake.
  • Explain the utility and applicability of blockchains in diverse applications.
  • Cite example applications of blockchains.

The course aims to introduce attendees to blockchains, which have recently emerged as a revolutionary technology that has the potential to disrupt a range of diverse business processes and applications. Using a concrete application setting, the course illustrates the construction of blockchains as a distributed, secure, and tamper-resistant framework for the management of transaction ledgers. Necessary background in the technologies underlying blockchains, including basic cryptographic concepts, are introduced as required. Current and emerging applications of blockchains are surveyed, including those in media security.

Intended Audience
Engineers, scientists, students, and managers interested in understanding how blockchains are constructed and how they can be useful in a variety of business processes. The course includes an overview of necessary background information, such as cryptographic tools utilized in the blockchain; prior familiarity with these concepts is not required.

Gaurav Sharma is a professor of electrical and computer engineering and of computer science at the University of Rochester where his research spans signal and image processing, computer vision, color imaging, and bioinformatics. He has extensive experience in media security across diverse application domains. Prior to joining the University of Rochester, he was a principal scientist and project leader at the Xerox Innovation Group. Additionally, he has consulted for several companies on the development of image processing and computer vision algorithms. He holds 54 issued patents and has authored over 195 peer-reviewed publications. He is the editor of the Digital Color Imaging Handbook published by CRC Press. He is the Editor-in-Chief for the IEEE Transactions on Image Processing and previously served as the Editor-in-Chief for the IS&T/SPIE Journal of Electronic Imaging from 2011 through 2015. Sharma is a fellow of IS&T, IEEE, and SPIE.

COST

by December 31:
   member   $95
   non-member   $105
   student   $45
after December 31:
   member   $120
   non-member   $130
    student   $70


Discounts given for multiple classes.
See Registration page for details and to register.

For office use only:

Category
Short Courses
Track
Track 1 Image Processing
When
1/14/2021 6:30 PM - 8:45 PM
Eastern Standard Time