jinghua wu | Behavior science | Women Researcher Award

Assoc Prof Dr. jinghua wu | Behavior science | Women Researcher Award

Assoc Prof Dr. jinghua wu, sichuan Agricultural University, China

Dr. Wu Jinghua is an associate professor at the College of Information Engineering, Sichuan Agricultural University, a key university under China’s “Project 211.” She holds a Ph.D. in Information Management System from South-West Financial University. With research interests in information management systems, e-commerce, and e-finance, she has authored numerous papers and publications. Previously, she worked at Leshan Gas Company and has undertaken significant roles in research projects focusing on digital agriculture and financial technologies. Dr. Wu is known for her analytical skills and dedication to advancing information technology applications. πŸ“Š

 

Publication profile

Scopus

Education Experience

Dr. Wu Jinghua holds a Ph.D. in Information Management System from South-West Financial University (2012), an M.S. in Computer Science from Southwest University (2005), and a B.S. in Computing Science from China West Normal University (1999).

 

Professional Experience

She has been an associate professor at Sichuan Agricultural University since 2012, teaching courses on E-commerce, Java Programming, and more.

Dr. Wu Jinghua’s research focuses on several key areas within information engineering and agricultural economics. Her work primarily centers around data mining, machine learning applications such as natural language processing and sentiment analysis, and the digital transformation of agriculture. She has contributed significantly to fields like e-commerce, e-finance, and digital agriculture, emphasizing innovations in information management systems and software engineering. Dr. Wu’s research also extends to agricultural price prediction models and the spatial-temporal factors influencing agricultural economics. Her interdisciplinary approach integrates technology with agricultural practices, aiming to enhance efficiency and decision-making processes in farming communities. πŸŒΎπŸ’»

Research Focus

Dr. Wu Jinghua’s research focuses on several key areas within information engineering and agricultural economics. Her work primarily centers around data mining, machine learning applications such as natural language processing and sentiment analysis, and the digital transformation of agriculture. She has contributed significantly to fields like e-commerce, e-finance, and digital agriculture, emphasizing innovations in information management systems and software engineering. Dr. Wu’s research also extends to agricultural price prediction models and the spatial-temporal factors influencing agricultural economics. Her interdisciplinary approach integrates technology with agricultural practices, aiming to enhance efficiency and decision-making processes in farming communities. πŸŒΎπŸ’»

 

Publication Top Notes

πŸ“„ Agricultural price prediction based on data mining and attention-based gated recurrent unit: a case study on China’s hog, Journal of Intelligent and Fuzzy Systems, 2024

πŸ“„ Exploring the Chinese public’s affective attitudes towards digital transformation in agriculture: A social media-based analysis, Applied Psychology: Health and Well-Being, 2024

πŸ“„ Agricultural price forecasting based on the spatial and temporal influences factors under spillover effects, Kybernetes, 2023 (cited by 1)

πŸ“„ Student classroom behavior recognition and evaluation system based on YOLOX, Proceedings of SPIE – The International Society for Optical Engineering, 2022 (cited by 1)

πŸ“„ A Comparative Study of Image Dehazing Based on Attention-Net and U-Net Atmospheric Light Estimation, 2020 IEEE 6th International Conference on Computer and Communications, 2020

πŸ“„ Image restoration of agricultural history based on neural patch synthesis, 2019 IEEE 11th International Conference on Communication Software and Networks, 2019

πŸ“„ Automatic classification and detection of oranges based on computer vision, 2018 IEEE 4th International Conference on Computer and Communications, 2018

 

 

Hai-Long Zhang | Neuroscience | Best Researcher Award

Hai-Long Zhang | Neuroscience | Best Researcher Award

Dr Hai-Long Zhang, The Fourth Affiliated Hospital of Soochow University ,China

πŸŽ“ With a keen focus on electrical engineering, Hai-Long Zhang pursued their academic journey with zeal and dedication. Graduating with a Master’s degree from Tianjin Chengjian University in Building Electrical and Intelligent systems in 2021, they laid a strong foundation for their career. Prior to that, they completed their Bachelor’s degree at Shanghai University of Electric Power in Power System and Automation. This diverse educational background equipped them with a comprehensive understanding of both theoretical concepts and practical applications in the field. Now, armed with knowledge and innovation, they are poised to make significant contributions to the realm of electrical engineering.

Publication Profile

orcid

google scholar

Education

πŸŽ“ Embarking on a journey of academic excellence, Hai-Long Zhang began their pursuit of knowledge at Tsinghua University in Beijing, China. Graduating with a Bachelor of Science in Chemical Engineering in 2013, they laid the groundwork for their future endeavors. Undeterred by challenges, they continued their scholarly pursuits, delving deeper into the intricacies of their field. In 2018, [Person’s Name] achieved the pinnacle of academic success, earning a Ph.D. in Chemical Engineering from Tsinghua University. Their years of dedication and hard work have equipped them with a profound understanding of chemical processes and a passion for innovation in their field.

 

Professional Experience

πŸ‘©β€πŸ« Building upon their academic achievements, [Person’s Name] transitioned seamlessly into the realm of academia, serving as an Associate Professor at the School of Food Science and Engineering, South China University of Technology, Guangzhou, China since 2021. Prior to this, they honed their expertise as a Postdoctoral Fellow at the same institution from 2018 to 2021. In both roles, [Person’s Name] has demonstrated a commitment to advancing knowledge in the field of food science and engineering. Their contributions have not only enriched the academic community but also paved the way for innovative solutions to challenges in the food industry.

Research Focus

Dr. Hai-Long Zhang focuses on neuroscience research, particularly in understanding the molecular and cellular mechanisms underlying synaptic plasticity, memory, and pain. 🧠 His work includes studying the roles of astrocytes, glutamatergic circuits, and various proteins such as calmodulin and steroid receptor coactivators in brain function and behavior. πŸ”¬ Dr. Zhang’s research spans from exploring pain processing pathways to investigating the genetic factors contributing to neurological disorders like Alzheimer’s disease and schizophrenia. 🌟 His significant contributions aim to unravel the complexities of brain function and develop therapeutic strategies for neurological conditions. πŸ’‘

 

4o

Publication top Notes