Prof Dr. Kyung-MIn Kim | Authentic Leadership | Best Researcher Award | 3004

Prof Dr. Kyung-MIn Kim | Authentic Leadership | Best Researcher Award

Kyungpook National Univesity, South Korea

🔗 Profile

Orcid

🌾🔬Kyung-Min Kim: Renowned Professor and Expert in Molecular Genetics 

Professor Kyung-Min Kim, a distinguished academic in the field of molecular genetics and crop breeding, currently serves at the Department of Applied Biosciences, Graduate School, Kyungpook National University. With an impressive background in agronomy, Dr. Kim’s work spans several decades and continents, highlighting his contributions to both scientific research and academia.

🎓Educational Background:

Dr. Kim earned his Ph.D. in Molecular Genetics and Breeding from Kyungpook National University in 1997, following an M.S. in Crop Breeding and a B.S. in Agronomy from the same institution. His extensive education underpins his expertise in plant biosciences.

👩‍🔬🌍Professional Experience:

Since October 2005, Professor Kim has been a key figure at Kyungpook National University, where he currently holds a professorship in the Division of Plant Biosciences. His career also includes notable positions such as a Research Professor at the Institute of Genetic Engineering and a Foreign Special Researcher at the Institute of Molecular Cell Biology, Tokyo University.

📚Editorial Role:

From January 2016 to February 2021, he served as the President of the Journal of Crop Science and Biotechnology, influencing the dissemination of cutting-edge research in his field.

📚 Publications

Exogenous GABA Enhances Copper Stress Resilience in Rice Plants via Antioxidant Defense Mechanisms, Gene Regulation, Mineral Uptake, and Copper Homeostasis

    • Authors: Zakirullah Khan, Rahmatullah Jan, Saleem Asif, Muhammad Farooq, Kyung-Min Kim
    • Journal: Antioxidants
    • Year: 2024

Melatonin alleviates arsenic (As) toxicity in rice plants via modulating antioxidant defense system and secondary metabolites and reducing oxidative stress

    • Authors: Jan, R.; Asif, S.; Asaf, S.; Lubna; Du, X.-X.; Park, J.-R.; Nari, K.; Bhatta, D.; Lee, I.-J.; Kim, K.-M.
    • Journal: Environmental Pollution
    • Year: 2023

Unraveling the mutualistic interaction between endophytic Curvularia lunata CSL1 and tomato to mitigate cadmium (Cd) toxicity via transcriptomic insights

    • Authors: Asaf, S.; Jan, R.; Khan, M.A.; Lubna; Khan, A.L.; Asif, S.; Bilal, S.; Ahmad, W.; Waqas, M.; Kim, K.-M. et al.
    • Journal: Science of the Total Environment
    • Year: 2023

Quantitative Trait Loci Mapping Identified Candidate Genes Involved in Plant Height Regulation in Rice

    • Authors: Jae-Ryoung Park; Yoon-Hee Jang; Eun-Gyeong Kim; Sang-Sun Hur; Kyung-Min Kim
    • Journal: International Journal of Molecular Sciences
    • Year: 2023

Hormones and the antioxidant transduction pathway and gene expression, mediated by Serratia marcescens DB1, lessen the lethality of heavy metals (As, Ni, and Cr) in Oryza sativa L.

    • Authors: Dibya Bhatta; Arjun Adhikari; Sang-Mo Kang; Eun-Hae Kwon; Rahmatullah Jan; Kyung-Min Kim; In-Jung Lee
    • Journal: Ecotoxicology and Environmental Safety
    • Year: 2023

Dr. Susanne Kumpulainen | Innovative Leadership | Best Researcher Award

Dr. Susanne Kumpulainen | Innovative Leadership | Best Researcher Award

South-Eastern Finland University of Applied Sciences, Finland

🔗 Professional Profiles

🌍 Summary:

Susanne Kumpulainen is a dedicated RDI Specialist and Team Lead at South-Eastern Finland University of Applied Sciences, focusing on Planetary Health and Brain research. Her expertise lies in neurophysiological adaptations, brain neurofeedback innovations, and the wellbeing effects of nature-based interventions.

🎓 Education:

Susanne holds a Doctor of Sport Science, specializing in neurophysiological adaptations of the brain and body. She conducted pioneering research at the University of Jyväskylä and pursued postdoctoral studies at Polar Electro Oy.

💼 Professional Experience:

With over six years at Xamk, Susanne has led the development of validated lab procedures and innovative digital nature ecosystems. She collaborates extensively, aiming to expand research on environmental factors and neurological health.

🔬 Research Interests:

Susanne’s current initiatives explore the intersection of environmental factors and neurological health under the ‘Planetary Health and Brain’ framework.

Publication Top Noted

Assessing the well-being benefits of VR nature experiences on group: Heart rate variability insights from a cross-over study

    • Authors: Susanne Kumpulainen, Samad Esmaeilzadeh, Arto J. Pesola
    • Journal: Journal of Environmental Psychology
    • Volume: 2024
    • Issue: 8
    • Pages: (Not specified)
    • Year: 2024
    • DOI: 10.1016/j.jenvp.2024.102366

Enhancing Psychophysiological Well-Being through Nature-based Soundscapes: An Examination of Heart Rate Variability in a Cross-Over Study

    • Authors: Susanne Kumpulainen, Samad Esmaeilzadeh, Markus Pesonen, Catarina Brazão, Arto J. Pesola
    • Journal: Preprint (not yet published in a journal at the time of preprint)
    • Date: 2024-01-16
    • DOI: 10.31234/osf.io/zpfq3

Prof. Xing Huang Innovative Leadership | Best Researcher Award

Prof. Xing Huang – Innovative Leadership | Best Researcher Award

🧑‍🏫Prof Xing Huang, Northwestern Polytechnical University, China 

🔗 Professional Profiles

🎓 Education

  • Nov 2016 – Oct 2017: Visiting PhD in Computer Science, Department of Electrical and Computer Engineering, Duke University, USA 🇺🇸
  • Sep 2013 – Jun 2018: PhD in Intelligent Information Processing, College of Physics and Information Engineering, Fuzhou University, China 🇨🇳
  • Sep 2009 – Jun 2013: Bachelor in Computer Science and Technology, College of Mathematics and Computer Science, Fuzhou University, China 🇨🇳

👨‍🔬 Employment

  • Dec 2022 – Present: Full Professor, School of Computer Science, Northwestern Polytechnical University, China 🇨🇳
  • Aug 2022 – Nov 2022: Postdoctoral Research Fellow, Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong 🇭🇰
  • Dec 2020 – Apr 2022: Humboldt Research Fellow, Postdoctoral Research Fellow, Department of Electrical and Computer Engineering, Technical University of Munich, Germany 🇩🇪
  • Dec 2019 – Nov 2020: TUFF Fellow, Postdoctoral Research Fellow, Department of Electrical and Computer Engineering, Technical University of Munich, Germany 🇩🇪
  • Sep 2018 – Oct 2019: MOST Fellow, Postdoctoral Research Fellow, Department of Computer Science, National Tsing Hua University, Taiwan 🇹🇼

💡 Research Topics

  • 🧩 Electronic Design Automation
  • 🧬 Microfluidic Biochips and VLSI Circuits
  • 🤖 Artificial Intelligence and Machine Learning
  • 📊 Algorithm Design and Analysis
  • 🖥️ Computer-Aided Design

📞 Contact Information

Publication Top Noted

Paper Title : Hdr-nerf: High dynamic range neural radiance fields

    • Authors: Xin Huang, Qi Zhang, Ying Feng, Hongdong Li, Xuan Wang, Qing Wang
    • Journal: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
    • Year: 2022
    • Citations : 110

Paper Title : AIM 2020: Scene relighting and illumination estimation challenge

    • Authors: Majed El Helou, Ruofan Zhou, Sabine Süsstrunk, Radu Timofte, Mahmoud Afifi, Michael S Brown, Kele Xu, Hengxing Cai, Yuzhong Liu, Li-Wen Wang, Zhi-Song Liu, Chu-Tak Li, Sourya Dipta Das, Nisarg A Shah, Akashdeep Jassal, Tongtong Zhao, Shanshan Zhao, Sabari Nathan, M Parisa Beham, R Suganya, Qing Wang, Zhongyun Hu, Xin Huang, Yaning Li, Maitreya Suin, Kuldeep Purohit, AN Rajagopalan, Densen Puthussery, PS Hrishikesh, Melvin Kuriakose, C Victor Jiji, Yu Zhu, Liping Dong, Zhuolong Jiang, Chenghua Li, Cong Leng, Jian Cheng 
    • Journal: Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020, Proceedings, Part III 16
       Year: 2020
    • Citations:  47

Paper Title : Humannorm: Learning normal diffusion model for high-quality and realistic 3d human generation

    • Authors: Xin Huang, Ruizhi Shao, Qi Zhang, Hongwen Zhang, Ying Feng, Yebin Liu, Qing Wan 
    • Journal: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 
    • Year: 2024
    • Citations:  26

Paper Title : Local implicit ray function for generalizable radiance field representation

    • Authors: Xin Huang, Qi Zhang, Ying Feng, Xiaoyu Li, Xuan Wang, Qing Wang  
    • Journal: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
    • Year: 2023
    • Citations: 21

Paper Title : SA-AE for any-to-any relighting

    • Authors: Zhongyun Hu, Xin Huang, Yaning Li, Qing Wang
    • Journal:
      European Conference on Computer Vision
    • Year: 2020
    • Citations: 8