ICSPIS Conference
The scientific community has witnessed a substantial growth in digital signal processing and intelligent systems in recent decades, with ever increasing applications in technology. The Annual Conference on Signal Processing and Intelligent Systems has been organized by the Center of Excellence in Digital Processing Systems at Amirkabir University of Technology as a platform for collaboration and exchange of knowledge among scholars and researchers on the topics of Signal Processing and Intelligent Systems.

First Keynote Speaker: Prof. Saeid Sanei

Title: Where AI meets Signal Processing

Prof. Saeid Sanei
School of Science and Technology, Nottingham Trent University, UK
Professor Sanei is a professor of signal processing and machine learning. His research covers a wide area of signal processing and machine learning with major applications to computer networking, communications, speech and biomedical engineering, automation, brain computer interfacing (BCI), and big data. His contributions to tensor factorisation and cooperative networking are also the two main pillars of big data analytics. He has three books, a number of book chapters and over 350 peer reviewed papers mostly with IEEE.
Conference Countdown
1 Month, 5 Days
Important Dates
Submission Deadline: September 23 Extended to : October 2
Notification of Acceptance: November 11
Registration and submission for final version: 23 - 28 Nov.
Conference Date: December 18 and 19, 2019
Conference Secretariat
Department of Computer Engineering and IT, Shahrood University of Technology, Shahrood, Iran.
Secretary: Ms. Gholami
Email: icspis@shahroodut.ac.ir
Phone: +982332300338
Fax: +982332300251

Central Library, Shahrood University of Technology - Engineering Campus,
Shahroud, Semnan Province, Iran

Visa Information
Check this link to apply for a Visa: Iran Embassy For more information, you may visit the Ministry of foreign affairs Islamic Republic of Iran official website: http://en.mfa.ir/
42246 Visits

ISC conference code: 98190-61047

Center of Excellence in Digital Processing Systems