Dr. Seyed Reza Nabavi | Nueral Network Awards | Best Researcher AwardΒ
Dr. Seyed Reza Nabavi, University of Mazandaran, Iran
Professional Profile:
Suitability for Best Researcher Award: Seyed Reza Nabavi
Based on the provided curriculum vitae, Dr. Seyed Reza Nabavi demonstrates exceptional qualifications that make him a strong candidate for the Best Researcher Award. Below is a summary of his key accomplishments and attributes supporting his suitability for this recognition
π Educational Background
- Ph.D. in Applied Chemistry (2009), University of Tabriz π§¬
Thesis: Application of Hybrid Modeling and Artificial Intelligence in Modeling and Optimization of Olefin Processes.- Visiting Scholar: National University of Singapore (Apr-Dec 2008).
- M.Sc. in Applied Chemistry (2003), University of Tabriz π§΅
Thesis: Preparation and Characterization of Conducting Polyaniline/Nylon-6 Composite Fibers. - B.Sc. in Applied Chemistry (2000), University of Sistan and Baluchestan ποΈ
- ποΈ First Rank among graduate students.
π¨βπ« Teaching Experience
- Expertise in teaching at M.Sc. and B.Sc. levels π, including advanced courses:
- Transport Phenomena, Design of Experiments (DOE), Chemical Reactors, Process Control, and Petrochemical Processes.
- Proficient in Modeling and Simulation and Unit Operation Laboratories.
π¬ Research Interests
- Nanotechnology of Polymers: Electrospinning and Nanofiber Membranes π§΅.
- Catalytic Processes: Ozonation, Photocatalysts, and Reaction Engineering βοΈ.
- Modeling and Optimization: Applying Machine Learning and Evolutionary Algorithms π€.
- Thermal Cracking & Pyrolysis: Exploring Coke Formation and Mitigation π₯.
π Academic Positions
- Associate Professor: 2022 β Present, University of Mazandaran π«.
- Assistant Professor: 2012 β 2022, University of Mazandaran.
π§ͺ Research Highlights
- Lead researcher in projects like Coke Formation and Inhibitors in thermal cracking of naphtha (collaboration with Tabriz Petrochemical Company) π’οΈ.
- Published impactful research on polymers, reaction engineering, and optimization using cutting-edge AI techniques.