Mr. Amin Nazari | Internet of Things | Best Researcher Award
Ph.D. Candidate, Bu-Ali Sina University, Iran
Mr. Amin Nazari is a highly accomplished researcher and final-year Ph.D. candidate in Artificial Intelligence at Bu-Ali Sina University, specializing in the Internet of Things (IoT), intelligent networks, graph neural networks and recommender systems. He holds an M.Sc. in Computer Engineering from Arak University (2014) and a B.Sc. in Computer Engineering from Islamic Azad University of Hamedan (2012), with theses focused on energy-aware routing and wireless sensor networks. With over five years of academic and research experience, Mr. Amin Nazari has authored 15 peer-reviewed publications in reputed Q1/Q2 journals and conferences (Elsevier, Springer, IEEE, Wiley), achieving 238 citations, 15 Scopus-indexed documents and an h-index of 8. His professional engagements include teaching courses in data mining, software engineering, programming and database design at Bu-Ali Sina University and Technical and Vocational University. His research interests span IoT and SDN-based intelligent networks, multimodal deep learning for financial forecasting and natural language processing for information retrieval, with practical projects such as decentralized orchestration systems, cryptocurrency forecasting models and AI-driven recommender platforms in collaboration with industry partners. He possesses strong technical skills in Python, MATLAB, Java, C++ and R, with expertise in advanced AI/ML frameworks including PyTorch, TensorFlow and Scikit-learn. Mr. Amin Nazari has received multiple recognitions, notably Top Researcher of Hamadan Province (2023, 2024) and Top Student of Bu-Ali Sina University (2023, 2024), alongside professional certifications from Coursera and Stanford. With a proven record of impactful publications, academic leadership and industry collaboration, he is strongly positioned to make significant future contributions to AI and IoT research at both national and international levels.
Profile: Scopus | ORCID | Google Scholar
Featured Publications
Javanmardi, S., Shojafar, M., Mohammadi, R., Nazari, A., Persico, V., & … (2021). FUPE: A security driven task scheduling approach for SDN-based IoT–Fog networks. Journal of Information Security and Applications, 60, 102853.
Samadi, R., Nazari, A., & Seitz, J. (2023). Intelligent energy-aware routing protocol in mobile IoT networks based on SDN. IEEE Transactions on Green Communications and Networking, 7(4), 2093–2103.
Khaledian, N., Nazari, A., Khamforoosh, K., Abualigah, L., & Javaheri, D. (2023). TrustDL: Use of trust-based dictionary learning to facilitate recommendation in social networks. Expert Systems with Applications, 228, 120487.
Mohammadi, R., Nazari, A., Nassiri, M., & Conti, M. (2021). An SDN-based framework for QoS routing in internet of underwater things. Telecommunication Systems, 78(2), 253–266.
Akraminejad, R., Khaledian, N., Nazari, A., & Voelp, M. (2024). A multi-objective crow search algorithm for optimizing makespan and costs in scientific cloud workflows (CSAMOMC). Computing, 106(6), 1777–1793.