Mr. Heon-Sung Park, School of Computer Science and Engineering, Chung-Ang University, South Korea

Heon-Sung Park is a Ph.D. student in the School of Computer Science and Engineering at Chung-Ang University, South Korea, under the guidance of Professor Dae-Won Kim. His research interests focus on artificial intelligence, continual learning, and on-device AI. He previously completed his Master’s degree in the same department and earned his Bachelor’s degree in Information Technology from Silla University. Heon-Sung has contributed to international conferences, including the IEEE International Conference on Consumer Electronics, where he presented his work on a Continual Gesture Recognition System. He has been involved in various projects, such as developing deep learning algorithms for structural adhesive inspection and creating frameworks for on-device AI. He has received several accolades, including the Chung-Ang University Graduate Research Scholarship and the Best Paper Award at the Winter Academic Conference of the Korean Society of Computer and Information. Proficient in Python, LaTeX, and machine learning tools like PyTorch and TensorFlow, Heon-Sung is committed to advancing research in AI and its applications in real-world scenarios.

Education 🎓

Ph.D. in Computer Science and Engineering
Chung-Ang University (2022 – Present)
Academic Adviser: Prof. Dae-Won Kim

Master’s in Computer Science and Engineering
Chung-Ang University (2020 – 2022)
Academic Adviser: Prof. Dae-Won Kim

Bachelor of Science in Information Technology
Silla University (2014 – 2020)

Dr. Seyed Reza Nabavi | Nueral Network Awards | Best Researcher Award

Dr. Seyed Reza Nabavi, University of Mazandaran, Iran

Dr. Seyed Reza Nabavi is an Associate Professor of Applied Chemistry in the Department of Applied Chemistry at the University of Mazandaran, Babolsar, Iran. he earned his Ph.D. in Applied Chemistry from the University of Tabriz in 2009, focusing on hybrid modeling and artificial intelligence applications for olefin process optimization. As a visiting scholar at the National University of Singapore in 2008, Dr. Nabavi further honed his expertise in chemical and biomolecular engineering. His teaching repertoire spans diverse topics, including transport phenomena, chemical reactor design, and chemical process modeling at both undergraduate and postgraduate levels. A prolific researcher, his interests lie in polymer nanotechnology, catalytic processes, machine learning in chemical process optimization, and pyrolysis. Notably, he has collaborated on significant projects, such as studying coke formation and inhibitors in naphtha thermal cracking at the bench scale, bridging academia and industry. Married and based in Iran, Dr. Nabavi has received recognition for his academic excellence, including being the top-ranked B.Sc. graduate.

Professional Profile:

ORCID

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

🎓 Educational Background

Ph.D. in Applied Chemistry (2009), University of Tabriz 🧬
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 🧵
Thesis: Preparation and Characterization of Conducting Polyaniline/Nylon-6 Composite Fibers.
B.Sc. in Applied Chemistry (2000), University of Sistan and Baluchestan 🏛️
- 🎖️ First Rank among graduate students.

👨‍🏫 Teaching Experience

Expertise in teaching at M.Sc. and B.Sc. levels 📚, 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.

🔬 Research Interests

Nanotechnology of Polymers: Electrospinning and Nanofiber Membranes 🧵.
Catalytic Processes: Ozonation, Photocatalysts, and Reaction Engineering ⚗️.
Modeling and Optimization: Applying Machine Learning and Evolutionary Algorithms 🤖.
Thermal Cracking & Pyrolysis: Exploring Coke Formation and Mitigation 🔥.

🏅 Academic Positions

Associate Professor: 2022 – Present, University of Mazandaran 🏫.
Assistant Professor: 2012 – 2022, University of Mazandaran.

🧪 Research Highlights

Lead researcher in projects like Coke Formation and Inhibitors in thermal cracking of naphtha (collaboration with Tabriz Petrochemical Company) 🛢️.
Published impactful research on polymers, reaction engineering, and optimization using cutting-edge AI techniques.

Publication top Notes:

Multi-Criteria Decision Making in Chemical and Process Engineering: Methods, Progress, and Potential

A liter scale synthesis of hierarchically mesoporous UiO-66 for removal of large antibiotics from wastewater

Data-Based Modeling, Multi-Objective Optimization and Multi-Criteria Decision Making of a Catalytic Ozonation Process for Degradation of a Colored Effluent

A bacterial cellulose-based LiSrVO4:Eu3+ nanosensor platform for smartphone sensing of levodopa and dopamine: point-of-care diagnosis of Parkinson’s disease

Mr. Heon-Sung Park | Neural Networks Awards | Best Researcher Award

Mr. Heon-Sung Park | Neural Networks Awards | Best Researcher Award

Mr. Heon-Sung Park, School of Computer Science and Engineering, Chung-Ang University, South Korea

Professional Profile:

Summary of Suitability for the Best Researcher Award: Heon-Sung Park

Education 🎓

Work Experience 💼

Achievements 🏆

Awards and Honors 🌟

Publication Top Notes: