Amin Nazari | Internet of Things | Best Researcher Award

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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.

 

Mr. Mohamed Aziz | IoT Application | Best Researcher Award

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Mr. Mohamed Aziz | IoT Application | Best Researcher Award

Mr. Mohamed Aziz, Zagazig University, Egypt

Mr. Aziz is a Master’s candidate in Engineering at Zagazig University, Egypt, specializing in IoT applications for solar cell systems and smart grid technologies. With a notable CGPA of 3.94, he has contributed to the field through his journal article, “Internet of Things-Based Robust Green Smart Grid,” published in 2024. His extensive professional experience as an Optoelectronic Engineer at Abu Qir Seaport, combined with international training and exposure, enriches his expertise. Mr. Aziz is also a peer reviewer for IEEE Access Journal and has engaged in advanced training in 5G and digital transformation, showcasing his commitment to cutting-edge technologies and sustainable energy solutions.

Professional Profile:

Orcid

Suitability for the Award

Mr. Mohamed Aziz’s diverse experience in optoelectronics, combined with his advanced education and international training, showcases his commitment to and expertise in his field. His current research on IoT-based smart grids aligns with the themes of innovation and technological advancement central to the Research for Best Researcher Award. His role as a peer reviewer further underscores his engagement with cutting-edge research and his contribution to the academic community.

Academic Achievements and Research Contributions:

Mr. Aziz is currently pursuing a Master’s degree in Engineering at Zagazig University, Egypt, focusing on IoT applications in solar cell systems management and performance improvement. His research is highly relevant in the context of sustainable energy solutions and smart grid technologies, areas that are critical for addressing global environmental challenges.

His academic journey includes a strong performance in pre-master’s courses, with a CGPA of 3.94, demonstrating his commitment to academic excellence. Additionally, he has authored a journal article titled “Internet of Things-Based Robust Green Smart Grid,” published in the journal Computers in 2024, contributing to the body of knowledge in IoT and smart grid systems.

Professional Experience and Expertise:

Mr. Aziz has over a decade of experience as an Optoelectronic Engineer at Abu Qir Seaport, where he has conducted research, performed analyses, and maintained various devices. His role has also included significant international exposure, with training and education in the USA, Italy, Greece, Saudi Arabia, Bahrain, UAE, and Kuwait. This global experience has enriched his technical skills and broadened his understanding of optoelectronic systems.

His professional experience is complemented by his role as a peer reviewer for the IEEE Access Journal, indicating his engagement with the latest developments in his field and his contribution to maintaining the quality of academic research.

Training and Continuous Learning:

Mr. Aziz has pursued various training courses to enhance his expertise in cutting-edge technologies, including 5G, digital transformation, and international scientific publishing. His continuous learning efforts, particularly in fields such as IoT and 5G, align with current technological trends and demonstrate his commitment to staying at the forefront of innovation.

His extensive training in operation and maintenance with leading global companies such as Raytheon, Leonardo, and Boeing highlights his practical expertise and ability to apply theoretical knowledge to real-world engineering challenges.

Publications and Scholarly Impact:

His recent publication in the Computers journal, co-authored with other researchers, highlights his contribution to advancing research in IoT-based smart grids. This work is particularly important given the growing emphasis on renewable energy and the need for robust, efficient energy management systems.

Publication Top Notes:

  • Title: Internet of Things-Based Robust Green Smart Grid
  • Journal: Computers
  • Year: 2024

 

 

 

 

Dr. Mona Alkanhal | IoT Systems | Best Researcher Award

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Dr. Mona Alkanhal | IoT Systems | Best Researcher Award

Dr. Mona Alkanhal, University of Maryland Baltimore Count, United States

Dr. Mona Alkanhal is currently pursuing a Ph.D. in Computer Science with a focus on Cybersecurity at the University of Maryland, Baltimore County (UMBC), expected to be completed in 2024 🎓. She holds an M.S. in Information Technology from Montclair State University, achieved in 2019. Mona possesses strong computer skills, including proficiency in platforms like Linux and Windows, and programming languages such as Java, Python, and MATLAB 💻. Her software expertise extends to tools like Android Studio, WireShark, and LaTeX, with experience in SUMO and MathWorks software applications. Dr. Alkanhal is certified in CCNA levels 1 through 4 by Cisco and has undergone specialized field training in 2016 📜. As a Graduate Teaching Assistant at UMBC’s CS Department from 2020 to 2024, Mona has contributed significantly to courses on Brain Computer Interfaces, IoT, and Computer Network Security. Her responsibilities include conducting classes, grading assignments, and enhancing lab projects to enrich student learning experiences 👩‍🏫.

🌐 Professional Profile:

Google Scholar

Education 🎓:

  • Ph.D. in Computer Science, Cybersecurity, University of Maryland, Baltimore County (UMBC), 2024
  • M.S. in Information Technology, Montclair State University, 2019

Computer Skills 💻:

  • Platforms: Linux, Windows
  • Languages: Java, Python, MATLAB, SQL, Android Studio, WireShark, GPA, LaTeX
  • Software: SUMO, MathWorks

Certifications 📜:

  • CCNA 1,2,3 and 4, Cisco, 2016
  • Field Training, Cisco, 2016

Experience 👩‍🏫:

  • Graduate Teaching Assistant, UMBC, CS Department (2020-2024)
    • Assisted in courses like Brain Computer Interfaces, IoT, Computer Networks Security, and more.
    • Conducted classes, graded assignments, held exams, and improved lab projects.

Publication Top Notes: