Amirkabir University of Technology - Iran
Author Profile
GOOGLE SCHOLAR
🎓 Early academic pursuits
Sajjad Molaei began his academic journey with a bachelor of science in information technology (it) engineering from the university of tabriz, tabriz, iran. during this period (2011–2015), he achieved an exceptional academic performance with a total mark of 18.20 out of 20. he completed his undergraduate studies under the supervision of dr. mohammad ali balafar and was recognized as the top student of his class. this early excellence set the foundation for his future endeavors in the field of computer engineering and power electronics.
🧑💼 Professional endeavors
Sajjad Molaei is currently pursuing a ph.d. in computer engineering with a major in computer networks at the amirkabir university of tehran. his doctoral research, under the supervision of dr. masoud sabaei, explores resource management in dynamic fog computing environments for internet of things (iot) applications, a topic of growing global significance in network optimization and power electronics.
🔬 Contributions and research focus
Sajjad’s research interests span a broad spectrum of cutting-edge fields, including wireless sensor networks, cloud and fog computing, internet of things (iot), computer networks, optimization, Edge/Fog Computing evolutionary algorithms, and software development. he has significantly contributed to optimizing computational methods and addressing latency in fog environments—a challenge critical to real-time systems and power electronics.
🌐 Impact and influence
As a distinguished student and a committed researcher, sajjad molaei has held memberships in several elite research groups and academic institutions. he is a valued member of the islamic republic of iran’s national elites foundation for three consecutive years (2017–2019), Edge/Fog Computing reflecting his outstanding contributions to iran’s scientific community.
📚 Academic cites
while the exact citation metrics are not specified, sajjad’s scholarly output has earned recognition through his affiliations and research contributions. his thesis topics and involvement in Edge/Fog Computing high-level labs suggest that his work is cited in contexts involving trust computation, dynamic resource allocation, and energy-aware network designs. future publications based on his ph.d. work are anticipated to be highly referenced in both academic and industrial research.
🚀 Legacy and future contributions
Sajjad Molaei is poised to leave a lasting legacy through his innovative work on resource management in iot-enabled environments. he envisions developing frameworks that ensure optimized resource utilization, minimal latency, and increased reliability—elements vital to the deployment of smart cities and advanced digital infrastructures.
Notable Publications
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Title: PSO-ELPM: PSO with elite learning, enhanced parameter updating, and exponential mutation operator
Author(s): H. Moazen, S. Molaei, L. Farzinvash, M. Sabaei
Journal: Information Sciences
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Title: Particle swarm optimization with an enhanced learning strategy and crossover operator
Author(s): S. Molaei, H. Moazen, S. Najjar-Ghabel, L. Farzinvash
Journal: Knowledge-Based Systems
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Title: Application of boosted trees to the prognosis prediction of COVID‐19
Author(s): S. Molaei, H. Moazen, H.R. Niazkar, M. Sabaei, M.G. Johari, A. Rezaianzadeh
Journal: Health Science Reports
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Title: An effective cipher block scheme based on cellular automata
Author(s): S. Molaei, S. Najjar-Ghabel, L. Farzinvash
Journal: 2017 IEEE 4th International Conference on Knowledge-Based Engineering and Innovation (KBEI)
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Title: MRM-PSO: An Enhanced Particle Swarm Optimization Technique for Resource Management in Highly Dynamic Edge Computing Environments
Author(s): S. Molaei, M. Sabaei, J. Taheri
Journal: Ad Hoc Networks