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

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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

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.

Professional Profile:

GOOGLE SCHOLAR

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

Heon-Sung Park is a highly qualified candidate for the Best Researcher Award, showcasing an exceptional academic background, significant research contributions, and a commitment to advancing the field of artificial intelligence.

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)

Work Experience đź’Ľ

  • Ph.D. Student
    School of Computer Science and Engineering, Chung-Ang University (2022 – Present)

Achievements 🏆

  • Best Paper Award at the Winter Academic Conference, Korean Society of Computer and Information (2019)
  • Chung-Ang University Graduate Research Scholarship (2022 – 2024)

Awards and Honors 🌟

  • Chung-Ang University Graduate Research Scholarship (2022 – 2024)
  • Best Paper Award (2019) for the research paper presented at the Winter Academic Conference of the Korean Society of Computer and Information

Publication Top Notes:

 

Prof. Bin Chen | Neural Network Awards | Best Researcher Award

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Prof. Bin Chen | Neural Network Awards | Best Researcher Award 

Prof. Bin Chen, Xi’an Jiaotong University, China

Bin Chen is a distinguished Professor and Deputy Director at the State Key Laboratory of Multiphase Flow in Power Engineering at Xi’an Jiaotong University in China. he has dedicated his academic career to advancing the field of multiphase flow and thermal engineering. Chen obtained his Bachelor’s, Master’s, and Ph.D. degrees in Power Engineering and Thermal Engineering from Xi’an Jiaotong University, further enhancing his expertise with a postdoctoral fellowship from the Japan Society for the Promotion of Science. His research interests encompass fundamental studies of multiphase flow, including interface tracking methods and messless methods, as well as applications in biomedical engineering such as theoretical modeling for laser dermatology and cryogen spray cooling. An advocate for integrating artificial intelligence in sensor technology, he has contributed significantly to his field and serves on various professional committees, including as Director of the subsidiary panels of Multi-phase Flows and Non-Newtonian Flows at the Chinese Society of Theoretical and Applied Mechanics. Chen’s achievements have been recognized with honors such as the National Outstanding Leading Scientist award in 2018 and designation as a New Century Excellent Talent by the Ministry of Education of China in 2007. He also serves on the editorial boards of notable journals in thermofluid science and chemical engineering.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award: Bin Chen

Bin Chen, a distinguished professor at Xi’an Jiaotong University and Deputy Director of the State Key Laboratory of Multiphase Flow in Power Engineering, is a leading expert in the field of multiphase flow and thermal engineering. His extensive educational background, including a Bachelor’s, Master’s, and Ph.D. from Xi’an Jiaotong University, has laid a solid foundation for his impressive research career.

Education

  • Ph.D. in Thermal Engineering
    Xi’an Jiaotong University, 1997 – 2002
  • Master of Cryogenic Engineering
    Xi’an Jiaotong University, 1993 – 1996
  • Bachelor of Power Engineering
    Xi’an Jiaotong University, 1989 – 1993

Work Experience

  • Professor
    State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University
    February 2008 – Present
  • Deputy Director
    State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University
    January 2009 – Present
  • Associate Professor
    State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University
    August 2003 – January 2008
  • Lecturer
    State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University
    May 2000 – July 2003
  • Lecturer
    Chemical Engineering School, Xi’an Jiaotong University
    July 1996 – April 2000
  • Postdoctoral Fellow
    Japan Society for the Promotion of Science
    March 2002 – March 2004

Publication Top Notes

The curvature-adaptive voxel Monte Carlo (CAVMC) method-based photothermal model for customized retinal laser surgery

Study on the mechanism of hydrogen production from bamboo gasification in supercritical water by ReaxFF molecular dynamics simulation

The high-concentration and pumpable pig manure slurry: Preparation, optimization, and evaluation for continuous supercritical water gasification

A novel coaxial air-R134a spray cooling for heat transfer enhancement of laser dermatology

Fe3O4/Au@SiO2 nanocomposites with recyclable and wide spectral photo-thermal conversion for a direct absorption solar collector

Noninvasive Detection of the Skin Structure and Inversed Retrieval of Chromophore Information Based on Diffuse Reflectance Spectroscopy