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 💼

  • 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

Prof. Yuguo Yu | Artificial Neural Awards | Best Researcher Award

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Prof. Yuguo Yu | Artificial Neural Awards | Best Researcher Award  

Prof. Yuguo Yu, Fudan University, China

Yuguo Yu, Ph.D., is a distinguished professor in Brain-inspired Artificial Intelligence and Computational Neuroscience at Fudan University, where he has been a faculty member since 2011. He currently serves as a professor at both the Research Institute of Intelligent Complex Systems and the National Key Laboratory of Medical Neurobiology. Yu obtained his Bachelor’s degree in Physics from Lanzhou University in 1995 and completed his Ph.D. in Condensed Matter Physics at Nanjing University in 2001. He pursued postdoctoral training in Computational/Behavior Neuroscience at Carnegie Mellon University from 2001 to 2004 and was an Associate Research Scientist at Yale University from 2005 to 2011, where he continues to contribute as a visiting Research Scientist since 2021. Yu has been recognized for his academic excellence through prestigious awards, including the Shanghai Eastern Scholar Professorship in 2013 and the Shanghai Excellent Academic Leader award in 2021. He is an active member of the Chinese Society of Computational Neuroscience and serves as an associate editor for several prominent journals, including IEEE Transactions on Cognitive and Developmental Systems and Frontiers in Computational Neuroscience. His research interests encompass brain-inspired neural networks, cellular mechanisms of energy-efficient cortical dynamics, synaptic learning mechanisms, and large-scale cortical network modeling, with over 100 publications in leading journals such as Nature and Neuron. Yu has also led or participated in numerous national foundation projects, advancing the field of computational neuroscience.

Professional Profile:

GOOGLE SCHOLAR

Research for Best Researcher Award

Candidate Overview: Dr. Yuguo Yu is a prominent researcher and professor in Brain-inspired artificial intelligence and computational neuroscience at Fudan University. With extensive academic and research experience, he is a strong candidate for the Best Researcher Award due to his significant contributions to the field, impactful publications, and leadership roles.

Education

  • B.Sc. in Physics
    Lanzhou University, 1995
  • Ph.D. in Condensed Matter Physics
    Nanjing University, 2001
  • Postdoctoral Researcher in Computational Neuroscience
    Carnegie Mellon University, 2001–2004
  • Research Scientist in Neurobiology
    Yale University, 2005–2011

Work Experience

  • Professor
    Research Institute of Intelligent Complex Systems, Fudan University, 2020–Present
  • Professor
    National Key Laboratory of Medical Neurobiology, Fudan University, 2013–Present
  • Visiting Research Scientist
    Yale University School of Medicine, 2021–Present
  • Associate Research Scientist
    Department of Neuroscience, Yale University, 2005–2011

Research Interests:

  • Brain-inspired Intelligence and Computational Neuroscience
  • Neural Computation Model
  • Neural Coding Theory
  • Network Topology Analysis
  • Sensory Fusion Mechanism
  • Brain Connectome Atlas
  • Self-organizing Learning Algorithm
  • Multi-sensory Fusion Model
  • Low-power Mechanism of the Human Brain 🔍

Publication Top Notes

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