No | Workshop | Presenter | Duration (Hour) | Registration fee (Toman) |
1 | Deep Learning for Image Processing | Dr.Ahmad Reza Heravi | 8 | 220000 |
2 | Reinforcement Learning and Intelligent Systems | Dr. Amin Noori | 8 | 220000 |
3 | Biological Signal Processing | Dr. Mandana saadat Ghaforian | 6 | 165000 |
4 | Implementation of signal processing algorithms on the ZYNQ chip | Mohsen Siavoshi | 6 | 240000 |
Email Address |
Presenter |
Workshop |
Heravi_a_650@yahoo.com |
Dr. Ahmad Reza Heravi |
Deep Learning for Image Processing |
Abstract |
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Over the past decade, deep learning techniques have yielded astonishing results in various areas of machine learning, computer vision, and signal processing. Today, applying deep learning in different applications is a hot topic for scientists, and the development of this knowledge has opened new horizons for the artificial intelligence researchers. In this workshop, the following topics will be presented: 1- The importance of deep learning and its principles 2- Introducing the convolutional neural networks 3- Introducing the well-known architectures in deep learning 4- Keras coding for deep neural networks
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Email Address |
Presenter |
Workshop |
Amin_noori@ieee.org |
Dr. Amin Noori |
Reinforcement Learning and Intelligent Systems |
Abstract |
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Reinforcement Learning (RL) is a class of machine learning that addresses the problem of learning the optimal policies in uncertain and stochastic environments. RL is extremely useful in many fields, such as control problems, robotics, self-driving cars, games, healthcare and etc. This workshop introduces participants to the concepts and methodologies of RL. In particular, these topics will be discussed: (1) Basic definition of RL (2)Introducing RL components: Agent, Environment, reward function, value function, and policy (3) Monte Carlo method, (4) Temporal Difference (TD) learning method (Q-learning, and SARSA), (5) Using RL methods in a control problems, (6) Simulation of solving a simple game using RL, (7) Controlling drug dosage of a patient with cancer using TD methods, and simulation of this problem in MATLAB.
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Email Address |
Presenter |
Workshop |
Mandanaghafourian7@gmail.com |
Dr. Mandana saadat Ghaforian |
Biological Signal Processing |
Abstract |
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Main topics of the educational workshop are as follows: · Acquaintance with widely used biological signals like EEG and ECG and calling data in MATLAB and EEGLAB Software. · Signal pre-processing and introduction of some filters and removal of all types of artifacts and noise from the signal in MATLAB and EEGLAB software. · Investigate the ECG signal and extract the HRV signal from the ECG · Signals classification
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Email Address |
Presenter |
Workshop |
|
MohsenSiavoshi69@gmail.com |
Mohsen Siavoshi |
Implementation of signal processing algorithms on the ZYNQ chip |
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Abstract |
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Submission Deadline: Nov 6, 2021
Notification of Acceptance: Nov 13, 2021
Workshop Proposal deadline: Nov 6, 2021
Workshop Admission Announcement: Nov 20, 2021
Registration and Submission for Final Version: Nov 29, 2021
Conference Date: Dec 29 and 30, 2021
No. 64 Jalal Al Ahmad St, Mashhad, Iran
Phone:+985136029313
Fax:+985136029405
Postal Code: 9188148848
Email: icspis2020@sadjad.ac.ir
Expert Secretariat: S.M.Kashani
Nov 28, 2020