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58th Annual Conference on Information Sciences and Systems (CISS)

58th Annual Conference on Information Sciences and Systems (CISS)
The 58th Annual Conference on Information Sciences and Systems (CISS) will be held in Princeton University, Mar. 13--15, 2024.
CISS2024

58th Annual Conference on Information Sciences and Systems (CISS)

Princeton University - Department of Electrical and Computer Engineering
& Technical Co-sponsorship with the Â鶹´«Ã½AV Information Theory Society

March 13, 14, 15, 2024 (IN-PERSON ONLY)

A forum for scientists, engineers, and academics to present their latest research results and developments in multiple areas of Information Sciences and Systems. Authors will present unpublished papers describing theoretical advances, applications, and ideas in the fields of:

  • Information Theory
  • Coding Theory
  • Image Processing
  • Communications
  • Signal Processing
  • Machine Learning
  • Big Data Analytics
  • Reinforcement Learning
  • Deep Learning
  • Optimization
  • Statistical Inference
  • Security and Privacy
  • Energy Systems
  • Networks, Systems and Control
  • Biological Systems

**Presented papers will be published on Â鶹´«Ã½AV Xplore** 

Note: To request a disability-related accommodation, please email [email protected] by 3/2/2024.

Conference Coordinator

Chris Nini
Dept. of Electrical and Computer Engineering
Princeton University
Princeton, NJ 08544
(609) 258-6227
[email protected]

Program Directors

Prof. Sanjeev Kulkarni 
Prof. Pramod Viswanath

Dept. of Electrical and Computer Engineering
Princeton University
Princeton, NJ 08544

2022 Program - See tab above

°ä³ó±ð³¦°ìÌý for previous programs.

More Information

Event Date
to Add to Calendar 2024-03-13 00:00:00 2024-03-15 00:00:00 58th Annual Conference on Information Sciences and Systems (CISS) The 58th Annual Conference on Information Sciences and Systems (CISS) will be held in Princeton University, Mar. 13--15, 2024. Princeton University America/New_York public
Event location
Princeton University
Event type
In-Person