SRDO Virtual Lab
Science Research Development Optimization
Smart healthcare
Nowadays, smart health technologies are used in different life and environmental areas, such as smart life, healthcare, cognitive smart cities, and social systems. Intelligent, reliable, and ubiquitous healthcare systems are a part of the modern developing technology that should be more seriously considered.
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Springer Nature, Journal of Cloud Computing
Diseases of the Central Nervous System (CNS) including Alzheimer's disease, Parkinson's disease, multiple sclerosis, and schizophrenia, are a diverse group of neurological and psychiatric disorders affecting the brain and spinal cord.
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The 2023 World Congress in Computer Science, Computer Engineering, & Applied Computing
Smart Building
Energy management in smart homes is one of the most critical problems for the Quality of Life (QoL) and preserving energy resources. One of the relevant issues in this subject is environmental contamination, which threatens the world's future.
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Tsinghua Science and Technology Journal
Smart cities
This research intends to model the EV and charging station in the car-sharing scenario using the Markov chain approach to determine the most accurate simulation runs and timing parameters.
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Institute of Electrical and Electronics Engineers (IEEE)
The Queuing theory is used to comprehend the network's performance by comparing various factors to determine the optimal design based on the number of servers and distribution in order to maximize packet transmission and decrease packet loss.
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Institute of Electrical and Electronics Engineers (IEEE)
Bandwidth, time, and connection expenses are a few examples of resources that may potentially have their usage reduced. In this paper, we try to optimize multicast routing. We discuss the important problem and a solution considered in this area and their mathematical models.
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Institute of Electrical and Electronics Engineers (IEEE)
Get in touch
Omid Akbarzadeh
Research and teaching assistant
Omid is a Postgraduate Researcher at Newcastle University. From 2018 to 2022, he was a master's student in the discipline of Communications and Computer Networks Engineering (CCNE) at the Polytechnic University of Turin, Italy. His research interests are Ultra-low Latency Networks Applications, Machine Learning, and Cyber-Physical Systems.
Sahand Hamzehei
Research and teaching assistant
Sahand is a Graduate Assistant student at the University of Connecticut. He studied "ICT for Smart Societies" from 2019 to 2022 at the Polytechnic University of Turin in Italy as a master's student. He completed his master's thesis for Mauriziano Umberto Hospital. His scholarly research interests are Machine Learning, Neural networks, Digital Image processing, and Smart cities.