I was selected as a reviewer at IEEE Sensors Letters. The scope of this journal is the same as that of the IEEE Sensors Journal; i.e.,” the theory, design, fabrication, manufacturing and application of devices for sensing and transducing physical, chemical, and biological phenomena, with emphasis on the electronics and physics aspects of sensors and integrated sensor-actuators.”
You could find more details about this journal via the link.
I was selected as a reviewer at Expert Systems With Applications. This journal is a refereed international journal whose focus is on exchanging information relating to expert and intelligent systems applied in industry, government, and universities worldwide.
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I was selected as a reviewer at Computer Networks. This journal is an international, archival journal providing a publication vehicle for complete coverage of all topics of interest to those involved in the computer communications networking area.
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I was selected as a reviewer at IEEE Sensors Journal. This journal focuses on the numerous sensor technologies spanned by the IEEE, and on emerging sensor technologies.
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I was selected as a reviewer at IEEE Systems Journal. This journal provides a systems-level, focused forum for application-oriented manuscripts that address complex systems and system-of-systems of national and global significance. It intends to encourage and facilitate cooperation and interaction among IEEE Societies with systems-level and systems engineering interest, and to attract non-IEEE contributors and readers from around the globe.
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I have been selected as a TPC member in the following conferences:
I have recently received my certificate of reviewing from the following scientific journals:
I was selected as a reviewer at Robotics and Autonomous Systems. This journal carries articles describing fundamental developments in the field of robotics, with special emphasis on autonomous systems. An important goal of this journal is to extend the state of the art in both symbolic and sensory based robot control and learning in the context of autonomous systems.
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I was selected as a reviewer at IEEE Communications Magazine in October 2021. This journal considered by most to be their most important member benefit, provides timely information on all aspects of communications: monthly feature articles describe technology, systems, services, market trends, development methods, regulatory and policy issues, and significant global events. These articles are complemented by a variety of departments, including: Conference Calendar, Book Reviews, the Global Communications Newsletter, and Scanning the Literature.
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I was selected as a Technical Program Committee (TPC) member at The International Conference on Information, Communication & Cybersecurity (ICI2C’21). This conference was organized by The National School of Applied Sciences of Sultan Moulay Slimane University, Morocco, in collaboration with Charles Darwin University, Australia; during November 10-11, 2021. It provides an opportunity to account state-of-the-art works, future trends impacting information, communications and cyber-security, with a focus on elucidating the challenges, opportunities, and inter-dependencies that are just around the corner.
You could find more details about this conference via the link.
I defended my master's thesis on February 3, 2021 at Islamic Azad University, Tabriz Branch. In this thesis, a smart fire system is proposed to predict, control, and alert fire occurrences by using multiple fuzzy-based methods. This system aids less energy to be consumed for transmitting various messages between wireless nodes, network traffic to be reduced over the network, and network lifetime to be prolonged consequently. The proposed routing protocols are, generally, categorized into two groups: static and dynamic. The static protocols are used to transmit data packets between the stationary nodes placed in different locations. The dynamic protocols direct, control, and transmit messages between vehicles and rescue team members. Besides, several fuzzy systems are offered to detect explosion possibility, determine fire probability, measure the intensity and volume of the fire, estimate fire progress, detect the burn possibility, and determine suffocation probability. In addition, the system determines the active and passive nodes as well as detects failure nodes throughout the network. Rescue teams are dispatched to events on the best path, between fire department and event place, that is selected by another fuzzy-based procedure. This procedure leads the rescue and support teams to be dispatched to events in a short time. Simulation and evaluation results show that the proposed fire system has a high performance compared to the most existing fire systems.
You could find the thesis document via the link.
The paper "Intelligent Velocity Control of Mobile Robots Using Fuzzy and Supervised Machine Learning" was published by VSB - Technical University of Ostrava in proceedings of conference GIS Ostrava 2021 Advances in Localization and Navigation on March 17-19, 2021. This paper proposes an intelligent technique for velocity control of a wheeled mobile robot by simultaneously using a fuzzy controller and a supervised machine learning (SML) algorithm. The technique is suitable for flexible leader-follower formation control on straight paths where a follower robot maintains a safe but flexible distance from a leader robot. The fuzzy controller determines the ultimate distance of the follower with respect to the leader from the measurements of two ultrasonic sensors. The SML algorithm calculates an appropriate velocity for the follower based on the ultimate distance. Simulations showed the effectiveness of the proposed technique in adjusting the follower robot's velocity in order to maintain a flexible formation with the leader robot.
You could find more information about the paper and the conference via the link 1 and link 2, respectively.
The paper "A Double-controller Fuzzy Scheme for Intelligent Resource Discovery on IaaS Cloud Systems" was published by International Journal of Networking and Virtual Organisations on 17 Jun 2021. This paper proposes a double-controller fuzzy scheme for intelligent resource discovery in IaaS cloud systems, called DOCFIR. This scheme applies two fuzzy controllers to perform the intelligent resource discovery across the network. The first controller determines the number of virtual machines in the deployment phase based on the most important characteristics of the physical machines. The second controller discovers the appropriate computing resources for the user's job in the service phase based on characteristics of the physical machines and user requirements. The simulation results show that the proposed scheme surpasses some of the existing related works in terms of the number of completed jobs and success rate.
You could find more information about this paper via the link.
