Prof Dr. HU JIHONG | Innovative Leadership | Best Researcher Award

Prof Dr. HU JIHONG | Innovative Leadership | Best Researcher Award

GANSU UNIVERSITY OF CHINESE MEDICINE, CHINA

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🎓 Early Academic Pursuits

Jihong Hu embarked on her academic journey in the field of Preventive Medicine at Ningxia Medical University in 1995. She pursued her undergraduate degree, which she completed in 2003, followed by a Master’s degree in 2000, laying the foundation of her future expertise in epidemiology and health statistics. Her passion for public health led her to Peking Union Medical College, where she completed her Doctorate in Epidemiology and Health Statistics in 2007. This period marked the beginning of her specialized research into the intersection of preventive medicine, epidemiology, and public health statistics. These formative years equipped her with the critical tools to address large-scale health issues through research and policy-oriented solutions.

👩‍🔬 Professional Endeavors

Jihong Hu’s career as a professor has spanned over two decades, during which she has continually contributed to scientific knowledge, particularly in the realms of epidemiology and preventive medicine. She has led numerous national and regional projects focused on chronic diseases, traditional Chinese medicine (TCM), and cardiovascular health. Her scientific endeavors demonstrate a unique interdisciplinary approach, bridging the gap between modern medicine and traditional Chinese medicine to create holistic solutions to prevalent public health problems. Key projects include the integration of Internet+ technology and Chinese medicine in managing chronic diseases and exploring the effects of intestinal microecological imbalances on pediatric health.

In addition, her leadership in the Gansu Provincial Major Special Projects has advanced the standardization of TCM treatments, particularly in managing conditions such as lumbar intervertebral disc herniation. Her work as part of the Chinese Academy of Medical Sciences (CAMS) has also explored environmental and epigenetic factors in cardiovascular diseases, reinforcing her expertise in the prevention and early intervention of chronic conditions.

🔬 Contributions and Research Focus

Jihong Hu’s research primarily revolves around three core areas: chronic disease prevention, the intersection of traditional Chinese medicine with modern healthcare, and cardiovascular health. A notable aspect of her work is her focus on pediatric health, especially in the application of traditional Chinese medicine to address pediatric respiratory infections. She has extensively studied the gut microbiome’s role in influencing various health conditions, including obesity and hypertension, highlighting the growing relevance of microbiology in chronic disease management.

Her research also encompasses the salt sensitivity of blood pressure, contributing vital knowledge to understanding the effects of diet on cardiovascular health. These efforts have earned her multiple grants from the National Natural Science Foundation of China, affirming her position as a leading figure in chronic disease research in China.

Among her published works are significant findings on the correlation between air pollution and respiratory diseases in children, as well as the effects of salt substitutes on hypertensive patients, showcasing her commitment to addressing health issues on a macro level.

🏅 Accolades and Recognition

Jihong Hu has received national and provincial funding for several major research projects, emphasizing her prominent role in advancing public health. Her work has earned recognition from the academic community, particularly for her role as both a first author and corresponding author in numerous high-impact journals.

Her research on the effects of salt substitutes, published in Clinical and Experimental Hypertension, is widely cited and has influenced hypertension management strategies in China. Additionally, her meta-analyses on the efficacy of acupuncture in stroke rehabilitation, published in the Journal of Gansu University of Chinese Medicine, have contributed to the validation of TCM therapies in modern clinical practices.

🌍 Impact and Influence

Jihong Hu’s work has made significant strides in preventive medicine and public health, especially in the application of integrative approaches involving traditional Chinese medicine and modern healthcare systems. Her findings on the gut microbiome’s connection to chronic diseases like hypertension and obesity have opened new avenues for understanding these complex conditions. The impact of her research transcends the academic realm, influencing clinical practices and public health policies aimed at reducing chronic disease burden in China.

Furthermore, her work on pediatric health, particularly in Lanzhou, has shed light on the critical role of environmental factors in children’s respiratory health. Her contributions have not only improved the understanding of disease etiology but have also prompted better preventative measures at the regional and national levels.

🏅 Legacy and Future Contributions

Looking ahead, Jihong Hu’s work will likely continue to shape the fields of public health, preventive medicine, and integrative healthcare. Her research into the dynamic changes in ischemic stroke diagnosis and treatment, particularly through traditional Chinese medicine, holds promising implications for stroke management in China and beyond. Moreover, her contributions to chronic disease surveillance systems will remain invaluable as global healthcare systems adapt to the growing burden of non-communicable diseases.

Her future work is expected to build upon the successes of her past projects, further advancing the integration of TCM and modern medicine for holistic patient care. With her reputation as a scholar and leader in preventive medicine, Jihong Hu’s legacy will likely include significant breakthroughs in chronic disease prevention and innovative therapeutic approaches rooted in traditional medicine.

In conclusion, Jihong Hu’s extensive academic and research career has established her as a pioneer in combining modern epidemiology with traditional Chinese medical practices. Her work continues to have a profound impact on public health policies, chronic disease prevention, and pediatric healthcare in China.

📝Notable Publications

Assist Prof Dr. Tipajin Thaipisutikul | Innovative Leadership |Best Researcher Award | 3184

Assist Prof Dr. Tipajin Thaipisutikul | Innovative Leadership |Best Researcher Award

Mahidol University, Thailand 

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Early Academic Pursuits 🎓

Dr. Tipajin Thaipisutikul’s academic journey began at Mahidol University, Thailand, where he earned his Bachelor of Science in Information and Communication Technology in 2010 with First Class Honours. His senior project, “VAPO,” a Voice Activated Personal Organizer, showcased his early interest in innovative technology and garnered significant attention. He continued his studies at The University of Sydney, Australia, completing a Master of Information Technology in 2012, specializing in Computer Networks. His thesis, “mSpeed,” involved crowdsourcing measurements on cellular networks, reflecting his growing expertise in data collection and analysis.

Dr. Thaipisutikul’s pursuit of excellence led him to National Central University, Taiwan, where he earned his Ph.D. in Computer Science in 2021. His doctoral research, “A Novel Deep Sequential Recommendation Model Based on Contextual Information,” explored deep learning models for recommendation systems, setting the stage for his future contributions to the field of artificial intelligence.

Professional Endeavors 🌟

Dr. Thaipisutikul has made substantial strides in academia and industry. As the Assistant Dean for Academic Services and Technology Transfer at Mahidol University’s Faculty of ICT, he has been instrumental in advancing educational programs and fostering technology transfer initiatives. His role involves instructing a variety of courses, including Advanced Programming and the Fundamentals of Programming in Python and C.

His career also includes significant teaching and research roles at Yuan Ze University in Taiwan and various faculties within Mahidol University. Dr. Thaipisutikul has provided guest lectures on cutting-edge topics such as Generative AI and Deep Learning, further establishing his reputation as a thought leader in the field.

Contributions and Research Focus 🔬

Dr. Thaipisutikul’s research focus encompasses Sequence Learning, Deep Learning, Applied Intelligence, and Recommender Systems. His work has led to several influential publications in prestigious journals, including:

  • “Automatic Detection of Nostril and Key Markers in Images” (2024) in Intelligent Systems with Applications.
  • “Forecasting National-Level Self-Harm Trends with Social Networks” (2023) in IEEE Access.
  • “Multi-hop Video Super Resolution with Long-Term Consistency (MVSRGAN)” (2023) in Multimedia Tools and Applications.
  • “An Improved Deep Sequential Model for Context-Aware POI Recommendation” (2023) in Multimedia Tools and Applications.

Dr. Thaipisutikul’s research integrates deep learning techniques with practical applications, significantly advancing the capabilities of recommendation systems and contextual information processing.

Accolades and Recognition 🏆

Dr. Thaipisutikul’s contributions have been recognized through numerous awards:

  • Best Paper Award at The 5th International Conference on Information Technology (2020) for “HandKey: An Efficient Hand Typing Recognition Using CNN for Virtual Keyboard.”
  • Excellent Paper Award and Best Paper Award at the International Conference on Ubi-Media Computing (2018, 2019).
  • Best Presentation Award at the 10th International Workshop on Advanced E-Learning (2017).

These accolades reflect his impact on the field and his ability to contribute innovative solutions to complex problems.

Impact and Influence 🌐

Dr. Thaipisutikul’s work has made significant impacts on both academic and practical fronts. His research has advanced the state-of-the-art in deep learning and recommendation systems, influencing how intelligent systems are developed and applied in various industries. His teaching and training initiatives, including specialized courses on Python Programming and AI, have equipped students and professionals with the skills needed to excel in a rapidly evolving technological landscape.

Legacy and Future Contributions 🌟

Looking forward, Dr. Thaipisutikul aims to further his research in sequence learning and deep learning applications, exploring new frontiers in artificial intelligence and machine learning. His ongoing projects and collaborations are expected to yield innovative solutions and contribute to the advancement of technology in diverse fields.

His legacy is marked by a commitment to academic excellence, innovation, and the application of advanced technologies to solve real-world problems. As he continues to mentor the next generation of researchers and professionals, Dr. Thaipisutikul’s influence on the field of computer science and information technology is poised to grow, shaping the future of artificial intelligence and applied intelligence.

Notable Publications 

“A collaborative filtering recommendation system with dynamic time decay”

Authors: YC Chen, L Hui, T Thaipisutikul

Journal: The Journal of Supercomputing

Volume: 77

Issue: 1

Pages: 244-262

Year: 2020

“A Learning-Based POI Recommendation With Spatiotemporal Context Awareness”

Authors: YC Chen, T Thaipisutikul, TK Shih

Journal: IEEE Transactions on Cybernetics

Volume: 46

Issue: 5

Pages: 1185-1196

Year: 2020

“Feature Line Embedding Based on Support Vector Machine for Hyperspectral Image Classification”

Authors: YN Chen, T Thaipisutikul, CC Han, TJ Liu, KC Fan

Journal: Remote Sensing

Volume: 13

Issue: 1

Pages: 130

Year: 2021

“DAViS: a unified solution for data collection, analyzation, and visualization in real-time stock market prediction”

Authors: S Tuarob, P Wettayakorn, P Phetchai, S Traivijitkhun, S Lim, T Noraset, …

Journal: Financial Innovation

Volume: 7

Issue: 1

Pages: 1-32

Year: 2021

“MDPrePost-Net: A Spatial-Spectral-Temporal Fully Convolutional Network for Mapping of Mangrove Degradation Affected by Hurricane Irma 2017 Using Sentinel-2 Data”

Authors: I Jamaluddin, T Thaipisutikul, YN Chen, CH Chuang, CL Hu

Journal: Remote Sensing

Volume: 13

Issue: 24

Pages: 5042

Year: 2021