Lishu Guo | Insight Interlace | Best Researcher Award

Assoc Prof Dr. Lishu Guo | Insight Interlace | Best Researcher Award

Assoc Prof Dr. Lishu Guo at Columbia University, China

👨‍🎓 Profiles

 📚 Academic Background 

Lishu Guo is an accomplished Associate Research Scientist at Columbia University, New York, specializing in mitochondrial bioenergetics and metabolic reprogramming. With a global academic and research background, Dr. Guo has contributed significantly to understanding mitochondrial dynamics and their implications in cancer and metabolic disorders.

🎓 Education

Dr. Guo earned a Ph.D. in Biomedical Science from the University of Padova, Italy, focusing on mitochondrial permeability transition and F-ATP synthase (2015-2018). She also holds a Master’s in Pharmacology from Lanzhou University, China (2012-2014), and a Bachelor’s in Medicine from Henan University, China (2008-2012).

💼 Professional Experience

Dr. Guo is currently serving as an Associate Research Scientist at Columbia University’s Department of Anesthesiology (since August 2024). Previously, she worked as a Young Associate Researcher at the Greater Bay Area Institute of Precision Medicine, Fudan University, China (2022-2024) and as an Assistant Researcher at Tongji University’s School of Medicine, China (2019-2022). She also completed a Fellowship at the University of Padova (2018-2019) and started her career as an Assistant Researcher at Shanghai Haohai Biological Technology Co., Ltd. (2014-2015).

🔬 Research Interests

Dr. Guo’s research interests include mitochondrial channels and permeability transition, oxidative phosphorylation, F-ATP synthase dynamics, oxidative stress, calcium homeostasis, and metabolic reprogramming. She explores these areas to understand their roles in cellular function and disease mechanisms.

🏆 Awards and Funding 

Dr. Guo has received funding from the Shanghai Sailing Program (2020-2023) and the Shanghai Tenth People’s Hospital (2021-2023).

🤝 Memberships 

Dr. Guo is a member of the Shanghai Overseas Returned Scholars Association and the Guangzhou Overseas Returned Scholars Association.

📝 Reviewer 

Dr. Guo serves as a reviewer for several journals, including ACS Chemical Neuroscience, Biochemical Pharmacology, and Mitochondrial Communications.

💡Patents 

Dr. Guo holds patents for MTCH2 in cancer treatment drugs related to iron death (2023) and a composition for enhancing immune function (2023).

📖 Publications

Title: F-ATP synthase inhibitory factor 1 regulates metabolic reprogramming involving its interaction with c-Myc and PGC1α
  • Author(s): Guo, L., Gu, Z.
  • Journal: Frontiers in Oncology
  • Year: 2023
Title: Mitochondrial ATP synthase inhibitory factor 1 interacts with the p53–cyclophilin D complex and promotes opening of the permeability transition pore
  • Author(s): Guo, L.
  • Journal: Journal of Biological Chemistry
  • Year: 2022
Title: Mitochondria and the permeability transition pore in cancer metabolic reprogramming
  • Author(s): Guo, L.
  • Journal: Biochemical Pharmacology
  • Year: 2021
Title: Arg-8 of yeast subunit e contributes to the stability of F-ATP synthase dimers and to the generation of the full-conductance mitochondrial megachannel
  • Author(s): Guo, L., Carraro, M., Carrer, A., Bernardi, P., Lippe, G.
  • Journal: Journal of Biological Chemistry
  • Year: 2019
Title: Arginine 107 of yeast ATP synthase subunit g mediates sensitivity of the mitochondrial permeability transition to phenylglyoxal
  • Author(s): Guo, L., Carraro, M., Sartori, G., Petronilli, V., Bernardi, P.
  • Journal: Journal of Biological Chemistry
  • Year: 2018

Zhengyi FU | Structural Engineering | Best Researcher Award

Mr. Zhengyi FU, Structural Engineering, Best Researcher Award

Mr. Zhengyi FU at city university of Hong Kong, Hong Kong

Professional Profile

Scopus Profile
Google Scholar Profile

🌟Summary

Fu Zhengyi is a dedicated researcher in the field of structural engineering, currently pursuing his Ph.D. at City University of Hong Kong under the supervision of Prof. Lam Heung Fai. With a strong academic background including a Master’s from Central South University and a Bachelor’s from Nanchang University, his research focuses on modal identification, modal updating, damage detection, response reconstruction, and the application of artificial intelligence in structural dynamics. Fu Zhengyi’s work, highlighted by publications in renowned journals and participation in significant research projects, aims to innovate methodologies that enhance the reliability and efficiency of structural assessment practices. His career aspirations include contributing to the advancement of structural health monitoring technologies to ensure the resilience and safety of civil infrastructure.

🎓 Education

Fu Zhengyi completed his Ph.D. in Structural Engineering at City University of Hong Kong under the supervision of Prof. Lam Heung Fai. Prior to this, he obtained a Master’s degree from Central South University and a Bachelor’s degree from Nanchang University. His academic journey has been marked by a strong foundation in engineering principles and a specialization in structural dynamics and modal analysis. Throughout his education, Fu Zhengyi has demonstrated a commitment to excellence, earning distinctions such as a National Scholarship during his Master’s studies and multiple scholarships for outstanding academic performance during his Bachelor’s degree. His research interests include modal identification, modal updating, damage detection, response reconstruction, and the application of artificial intelligence in enhancing structural assessment methodologies.

💼 Professional Experience

Fu Zhengyi has accumulated extensive experience in the field of structural engineering, focusing primarily on modal identification, modal updating, damage detection, response reconstruction, and the application of artificial intelligence in structural dynamics. His research has been published in reputable journals such as Engineering Structures and Mechanical Systems & Signal Processing. During his doctoral studies at City University of Hong Kong, under the guidance of Prof. Lam Heung Fai, Fu Zhengyi developed expertise in dynamic response reconstruction methodologies and Bayesian modal analysis. His contributions extend to practical applications, including participation in research projects such as the topographic wind parameter test of Nujiang Bridge and the excitation and vibration measurement experiment on Hongyan Village Bridge. Fu Zhengyi’s professional journey underscores a commitment to advancing the understanding and management of structural behavior through innovative research and practical experimentation.

🔬 Research Interests

Fu Zhengyi’s research interests span a diverse array of topics within structural engineering, with a particular emphasis on modal identification, modal updating, damage detection, response reconstruction, and the integration of artificial intelligence techniques. His work aims to advance the understanding and application of modal analysis methods to enhance the reliability and efficiency of structural assessment and maintenance practices. Fu Zhengyi is particularly passionate about developing innovative approaches that leverage Bayesian methodologies for modal analysis and exploring the potential of artificial intelligence algorithms to optimize response reconstruction and damage detection processes. His research contributions aim to address current challenges in structural health monitoring and contribute to the resilience and longevity of civil infrastructure.

📖 Publication Top Noted

Article: A response reconstruction method based on empirical mode decomposition and modal synthesis method

  • Authors: Jinsong Yang, Zhengyi Fu, Yunfeng Zou, Xuhui He, Xiaojun Wei, Tiantian Wang

  • Journal: Mechanical Systems and Signal Processing

  • Year: 2023

  • Citation: 16

Article: An efficient dynamic response reconstruction methodology based on model condensation and modal decomposition

  • Authors: Zheng Yi Fu, Mujib Olamide Adeagbo, Heung Fai Lam

  • Journal: International Journal of Structural Stability and Dynamics

  • Year: 2023

  • Citation: 3

Article: Dynamic Response Reconstruction Method Based on Empirical Mode Decomposition and Model Condensation

  • Authors: ZOU Yun-feng, FU Zheng-yi, HE Xu-hui, LU Xuan-dong, YANG Jin-song, ZHOU Shuai

  • Year: 2021

  • Citation: 3

Article: Time-domain structural model updating following the Bayesian approach in the absence of system input information

  • Authors: Heung Fai Lam, Fu Zheng Yi, Mujib Olamide Adeagbo, Jia Hua Yang

  • Journal: Engineering structures

  • Year: 2024

Article: A new time-domain dynamic response reconstruction method based on model condensation

  • Authors: ZY FU, HF LAM

  • Journal: The 26th Annual Conference of HKSTAM 2023 The 18th Shanghai–Hong Kong Forum on Mechanics and Its Application

  • Year: 2023