Assoc. Prof. Dr. Shayesteh Tabatabaei, University of Saravan, Iran
Dr. Shayesteh Tabatabaei is an accomplished Associate Professor in the Department of Computer Engineering at the Higher Education Complex of Saravan, Iran. Born in Tabriz, East Azarbayjan, she holds Iranian nationality and currently resides in Saravan, Sistan Baluchestan. She earned her Ph.D. in Computer Engineering from Tehran Science and Research University in 2015, with a dissertation focused on developing intelligent routing protocols for mobile ad-hoc networks. With a strong academic foundation supported by M.Sc. and B.Sc. degrees in Computer Engineering from Islamic Azad University of Shabestar, Dr. Tabatabaei has established herself as a prominent researcher in wireless sensor networks, mobile ad-hoc networks, IoT, and intelligent optimization algorithms. Recognized among the top 2% of scientists worldwide in 2024, she has consistently been honored as a top researcher at various institutions. Dr. Tabatabaei is also an active educator, teaching advanced computing subjects at both undergraduate and postgraduate levels, and has organized numerous national workshops on IoT, wireless networks, and academic writing. She has presented her research at prestigious conferences across Iran and internationally, contributing extensively to fields such as energy-efficient routing and intelligent clustering in sensor networks. She is proficient in several programming languages and simulation tools, and her dedication to academic excellence continues to influence Iran’s growing tech and research community.
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Summary of Suitability – Best Researcher Award: Dr. Shayesteh Tabatabaei
Dr. Shayesteh Tabatabaei is an accomplished academician and a highly qualified candidate for the Best Researcher Award, recognized globally among the Top 2% of Scientists Worldwide in 2024. As an Associate Professor in the Department of Computer Engineering at the Higher Education Complex of Saravan, Iran, her work demonstrates exceptional depth in both research and teaching within computer engineering and intelligent systems.
🎓 Education
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Ph.D. in Computer Engineering (2010–2015)
Tehran Science and Research University, Tehran, Iran
📌 Dissertation: A New Intelligent Routing Protocol for Mobile Ad-Hoc Networks
🎯 GPA: 18.63 / 20.00
👨🏫 Supervisor: Dr. M. Teshnehlab
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M.Sc. in Computer Engineering (2007–2009)
Islamic Azad University of Shabestar, Iran
📌 Thesis: Improving the AODV Routing Protocol Using Reinforcement Learning
🎯 GPA: 18.69 / 20.00
👨🏫 Supervisor: Dr. M.A. Jabraeil Jamali
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B.Sc. in Computer Engineering (2002–2006)
Islamic Azad University of Shabestar, Iran
🎯 GPA: 17.12 / 20.00
💼 Work Experience
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Associate Professor
Department of Computer Engineering, Higher Education Complex of Saravan, Iran
📌 Teaching graduate and undergraduate courses in Artificial Intelligence, Advanced Databases, Distributed Systems, Operating Systems, Networking, Programming (C/C++, Visual Studio), HTML, and more.
🏫 Also taught at Sistan Baluchestan University and Islamic Azad Universities in Bonab, Malekan, Miyandoab, Miyaneh, and Zahedan.
🏆 Achievements, Awards & Honors
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🥇 Among the Top 2% Scientists Worldwide (2024)
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🏅 Top Researcher Awards:
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Islamic Azad University of Malekan Branch (2011, 2016, 2017)
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Higher Education Complex of Saravan (2019, 2021, 2022)
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🧠 Organizer of Prestigious Workshops:
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Wireless Networks Workshops (2014, 2016)
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ISI Article Writing Workshops (2019, 2021, 2022)
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IoT Workshops (2020, 2022)
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📚 Presenter at Multiple International Conferences:
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IEEE, ISC, IFIP, and national conferences in Tehran, Tbilisi, Ardabil, Istanbul, and Babol
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Topics include Wireless Sensor Networks, Clustering Algorithms, Energy Optimization, and Bioinformatics
Publication Top Notes:
New energy efficient management approach for wireless sensor networks in target tracking using Vortex Search Algorithm
WITHDRAWN: A Novel method of routing in multi-channel multi-radio wireless mesh networks
An energy-aware protocol in wireless sensor networks using the scattered search algorithm and fuzzy logic
A Fault-Tolerant Clustering Approach for Target Tracking in Wireless Sensor Networks
A new model for evaluating the impact of organizational culture variables on the success of knowledge management in organizations using the TOPSIS multi-criteria algorithm: Case study
A Novel Method for Energy Efficiency in Internet of Thing (IoT) through Fuzzy Logic and Genetic-Algorithm-Based Clustering applied for Agriculture Monitoring
Cat swarm optimization-based energy efficient target tracking in wireless sensor network
EOR screening using optimized artificial neural network by sparrow search algorithm
Well placement optimization with a novel swarm intelligence optimization algorithm: Sparrow Search Algorithm