Prof. Jiankang Liu National-Level Talents H-index: 84 Xi'an Jiaotong University, China |
Biography: Dr. Jiankang Liu received his BS from Xi’an Jiaotong Unviersity and PhD of Medical Science from Okayama University School of Medicine, Japan. He completed post-doc training in Dr. Bruce Ames laboratory at University of California, Berkeley and worked as a faculty at University of California at Berkeley, Children Hospital Oakland Research Institute, University of California at Irvine, University of Kentucky College of Medicine, and University of Southern California. Currently, he is a Professor of the University of Health and Rehabilitation Sciences at Qingdao and Xi’an Jiaotong University at Xi’an, China. Dr. Liu’s research interests include molecular and cellular mechanisms of aging, stress, and age-/stress-associated diseases with a focus on redox-mitochondrial metabolism and mitoepigenetics. He has published more 270 papers with more than 19,000 times citations (H-index 81)and was elected as one of the Most Cited Chinese Researchers in the area of Biochemistry, Genetics and Molecular Biology by Elsevier consecutively for 10 years (2015-2024) and the World Top 2% Scientists from 2019-2024. Title: How to live healthier and longer? ---From alchemy to targeting mitochondria Abstract: The pursuit of health, longevity, and even immortality has been a dream of humanity since ancient times. Over thousands of years, people have made various and bizarre efforts and attempts. However, it was only in the 20th and 21st centuries, when science and technology had developed to a high level and scientists had gained a deep understanding of life at the molecular and cellular levels, that the mysteries of human health and longevity have been gradually unlocked. People could adopt scientific approaches to health preservation, disease prevention and treatment, thereby achieving the goal of health and longevity. This presentation will start with ancient alchemy and modern cloning, detailing our latest advancements in the free radical-mitochondrial aging theory, which is the most widely concerned topic in aging science, and explore the scientific path to health and longevity by emphasizing our studies on mitochondrial epigenetics. |
![]() Prof. Zulqarnain Baloch Kunming University of Science and Technology, China |
Biography: Zulqarnain Baloch is currently a professor and master's supervisor at the College of Life Science and Technology, Kunming University of Science and Technology. He graduated from the College of Life Sciences and Technology, Kunming University of Technology with a PhD in 2016 and was an Associate Professor at the Biomedical Center, Northwest University for Nationalities, Lanzhou, 2019-2020. In addition, he is a member of Asian Council of Science Editors (ACSE), World Society of Virology (WSV), Alumni Association of Kunming University of Science and Technology, Yunnan Province, China, Veterinary Council of Pakistan, and Editorial Board of Scientific Journals. Research areas: molecular epidemiology of infectious diseases, pharmaceuticals, traditional Chinese medicine. |
Prof. Zhenghao Shi IEEE Senior Member, ACM Member Xi'an University of Technology, China |
Biography: Prof. Shi is a member of the Academic Committee of Xi'an University of Science and Technology, a distinguished member of CCF, a "500 Elite Talent" from Taizhou City, Zhejiang Province, the chairman of the "Computer Vision Technology Committee" of Shaanxi Computer Society, the vice chairman of the "Biomedical Intelligent Computing Committee" of Shaanxi Computer Society, the main committee member of the first branch of the China Zhi Gong Gong Party Committee of Xi'an University of Science and Technology (XUST), the first branch of China Zhigong Party, Xi'an University of Science and Technology (XUST), "Intelligent Image Processing and Application" research team leader, main research direction is machine vision, medical image processing and machine learning. He has published and accepted 60 academic papers as the first author or corresponding author, authorized 9 invention patents (including 1 South African invention patent), won 2 second-class prizes for scientific and technological progress in Shaanxi Province (ranked the first one), 1 second-class prize for scientific and technological progress in Xi'an (ranked the first one), 2 second-class prizes for science and technology in Shaanxi higher education institutions (ranked the first one), 1 second-class prize for scientific and technological progress of the Shaanxi Computer Society (ranked the first one), and won the second-class prize for scientific and technological progress of 2022 (ranked the first one), and won the second-class prize for scientific and technological progress of 2022 (ranked the first one). He was awarded the 2022 "ilev Willie China Open Science High Contribution Author" award, and "Advanced Worker (2022)" of China Zhigong Party in Shaanxi Province. Title: Sleep Apnea Syndrome Detection based on Transformer Abstract: Obstructive sleep apnea (OSA) is a common sleep disorder that is an important factor leading to cardiovascular diseases such as hypertension, heart failure, and stroke. Timely detection and treatment of OSA are of great significance in ensuring people's life and health. This report will introduce the research progress of this issue based on our practical experience in this field in the past two years, with a focus on reporting our work and achievements in using the Transformer method for OSA detection. |
![]() Prof. Zhengchun Liu Central South University, China |
Biography: Liu Zhengchun, doctoral supervisor, director of the Department of Electronics, School of Electronic Information, 531 talents of Central South University, young backbone teachers of ordinary universities in Hunan Province, member of bioelectronics Branch of Chinese Institute of Electronics, senior member of China Institute of Micronanotechnology, senior member of Biomedical Engineering Society, the first batch of senior members of chinese chemical society and member of China Society of Biomaterials, Standing Committee member of Hunan Sensing Industry Promotion Technology Committee, deputy editor-in-chief of Chemical Engineering Journal; He received the Ph.D. degree in biomedical engineering from Southeast University in 2003. From 2004 to 2006, he was a Postdoctoral Fellow at Seoul National University, South Korea. He joined Central South University as an Associate Professor in 2007, where he has been a Full Professor since 2010. From 2014 to 2015, he was a Visiting Scholar at the University of Maryland. He has published more than 100 papers in important journals at home and abroad, and his research interests are wearable sensing, microfluidic chips and sensing, intelligent instruments and sensing, and nano-drug loading and sensing. Title: Nonlinear Signal Modeling and Its Application in Electrochemical Sensing Abstract: Due to the advantages of high sensitivity, high selectivity, and rapid response, electrochemical methods have been widely applied in a series of biomarkers detection. In this field, an important question is how to obtain high sensing performance, which is highly related to the signal sensing mechanism. However, most reported studies have focused on the novel electrode materials design, and pay much less attention to the sensing data, especially those data points in the nonlinear region. This leads to the inconsistency of the experimental data in different works, making it difficult to point out how to construct an electrochemical system with high performance. We focused on the sensing mechanism and the construction of a high-performance electrochemical system. Firstly, a modified reaction-diffusion model was constructed for the initial qualitative investigation of the sensing data through the numerical method. On this basis, a nonlinear model that possesses clearer physics meaning and can quantitatively describe the experimental data was obtained by analyzing the reaction process. Finally, with the combination of micro-electronics, microfluidics, and laser-induced electrode preparation technique, the proposed nonlinear model was used in the practical applications for the validity tests. This study aims to offer novel insights for analyzing sensor performance data. This research was granted by the National Natural Science Foundation of China (No. 62371475) |