2021 International Conference on Big Data and Intelligent Decision Making
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Dr. Alireza Souri

Dr. Alireza Souri

Assist. Prof. Alireza Souri.png

Dr. Alireza Souri 

Department of Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran


Keynote Speaker Talk: Intelligent Decision Making Methods for IoT Environments


Abstract:

The Internet of Things (IoT) becomes as one of the key technological developments that provide smart infrastructure for the cloud-edge services by interconnecting physical devices and virtual things between mobile applications and embedded devices. Several embedded software and hardware systems had been developed by developers to assist IoT systems in gathering information about safety-critical fields. By increasing development of IoT ecosystems, Intelligent Decision Making (IDM) paradigm is emerging as a high potential solution for processing and navigating the information of embedded IoT devices. IDM for embedded devices in IoT systems investigates the massive quantity of complex data to help industry, transportations, medical systems, microcontrollers and other smart applications. IoT, embedded devices, sensors, microprocessors, manual data entry and online sources are a few complex data sources for IDM. IDM make use of machine learning techniques to enhance the process of complex making decisions and prediction. AI tools such as Metaheuristic, Fuzzy Logic, artificial neural networks, deep learning and intelligent agents can be integrated to IDM for embedded systems in IoT. Finally, IDM-based embedded devices can be very beneficial to a range of IoT systems where complex and critical decisions are made under time pressure, decision-makers are on the move, and the environment is dynamic and uncertain. In this talk, I will describe the current status, the trend, and the future directions of IDM in the IoT. I will share our vision of future IDM-based collaborative IoT applications, with the design of a framework that supports cross-node resource management, distributed intelligence and advanced cloud-edge computing.

 

Biography

Dr. Alireza Souri (Member, IEEE) received his Ph.D. degree in Computer Engineering from Science and Research Branch, Islamic Azad University, Iran. He currently is an Assistant Professor (lecturer) at Haliç University, Istanbul, Turkey / Science and Research Branch, Islamic Azad University, Tehran, Iran and IEEE (IEEE Communication Society)/ACM member. Also, he was recognized by Iran’s National Elites Foundation and awarded as national young elite in 2018, 2019 and 2020. Up to now, he has authored/co-authored more than 70 scientific articles in established journals such as Expert Systems with Applications (Elsevier), Journal of Systems and Software (Elsevier), IEEE Consumer Electronics Magazine, and IEEE Access. Also, he is Associate Editor of Human-Centric Computing and Information Sciences (Springer), Cluster Computing (Springer) and IET Communications (IET-Wiley) journals. In addition, he is a Leading Guest Editor for many special issues in scientific journals such as Enterprise Information Systems, Complex and Intelligent Systems, ETT, Journal of Super Computing, IJCS and MICPRO. He is a reviewer of more than 50 reputed Journals including SCI-Indexed Journals of IEEE, ACM, Elsevier, Springer, and Wiley, such as IEEE Communications Surveys and Tutorials, IEEE Internet of Things, IEEE Consumer electronics Magazine, IEEE Sensor Journal, IEEE Transactions on Network Science and Engineering, IEEE SMC Magazine, IEEE Access, ACM computing Survey, Future Generation Computer Systems. Finally, his research interests include Formal Verification, Model checking, Fog & Cloud computing, and Internet of Things, Data mining and Wireless networks.