Assoc Prof Dr. Sayyed Majid Mazinani | Graph Neural Networks | Best Researcher Award
Assoc Prof Dr. Sayyed Majid Mazinani, Imam Reza International University, Iran
Dr. Sayyed Majid Mazinani is a distinguished Electrical Engineering scholar specializing in Telecommunications, holding a Ph.D. from Ferdowsi University, Mashhad, Iran. His research primarily focuses on enhancing Quality of Service in Wireless Sensor Networks and extends to Computer Networks, Data Communication Networks, and AI applications. Dr. Mazinani has a robust academic background with an MSc from Tarbiat Modares University and a BSc from Ferdowsi University. His extensive teaching portfolio includes both undergraduate and graduate courses in data communication, computer networks, and advanced AI topics. Recognized for his contributions to research and academia, Dr. Mazinani has been honored with several awards, including the Top Professor Researcher at Imam Reza International University and best paper accolades at national and international conferences.
Professional Profile๐
Google Scholar
Scopus
๐ Academic Background
Dr. Sayyed Majid Mazinani earned his Ph.D. in Electrical Engineering Telecommunications from Ferdowsi University, Mashhad, Iran (2005-2009). His thesis focused on improving quality of service parameters using clustering and middleware in wireless sensor networks (WSN). He also holds an MSc in Electrical Engineering Telecommunications from Tarbiat Moddares University, Tehran, Iran (1994-1997), where he worked on hyperspectral data image feature extraction. Dr. Mazinani completed his BSc in Electrical Engineering – Electronics at Ferdowsi University, Mashhad, Iran (1989-1994).
๐ก Areas of Interest
His research interests include Computer Networks, Wireless Sensor Networks, Data Communication Networks, and applications of Artificial Intelligence algorithms.
๐ Teaching Experience
Dr. Mazinani has taught a variety of undergraduate courses such as Data Communication, Engineering Mathematics, Signals and Systems, Computer Networks, and Differential Equations. At the graduate level, he has instructed courses in Evaluating the Efficiency of Computer Systems, Information Theory and Coding, Advanced Computer Networks, Wireless Sensor Networks, Artificial Neural Networks, Smart Grid, and Stochastic Processes.
๐ Awards and Achievements
Dr. Mazinani has been provisionally selected for the “Best Researcher Award” at the 2024 International Research Award for Excellence in Network Protocols, Technology, and Communication. He was also named Top Professor Researcher at Imam Reza International University in 2019 and 2020. Additionally, he received the Best Paper award at the 4th National Conference of New Construction Industry Technologies, Mashhad, Iran, in 2017, and at IACSIT Bangkok 2014 for his work on smart grids.
Publication Top Notes:
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Title: Energy-efficient routing in WSN: A centralized cluster-based approach via grey wolf optimizer
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Cited by: 147
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Year: 2019
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Title: A novel anomaly detection algorithm using DBSCAN and SVM in wireless sensor networks
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Cited by: 132
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Year: 2018
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Title: Comparison of artificial neural networks, fuzzy logic and neuro fuzzy for predicting optimization of building thermal consumption: a survey
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Cited by: 89
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Year: 2019
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Title: A secure and efficient key establishment scheme for communications of smart meters and service providers in smart grid
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Cited by: 58
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Year: 2019
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Title: FMCR-CT: An energy-efficient fuzzy multi cluster-based routing with a constant threshold in wireless sensor network
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Cited by: 58
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Year: 2019
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