Juan Gao | Quantitative Hypotheses | Best Researcher Award

Assoc. Prof. Dr. Juan Gao | Quantitative Hypotheses | Best Researcher Award

The National Police University for Criminal Justice, china

Dr. Juan Gao is an Associate Professor at The National Police University for Criminal Justice, specializing in the interdisciplinary fields of traditional Chinese medicine, Western medicine, and criminal psychology. With academic qualifications including a bachelor’s degree in Traditional Chinese Medicine and a master’s in Integrated Chinese and Western Medicine, she integrates holistic healing approaches with psychological intervention techniques. Her research focuses on criminal psychological assessment, adolescent mental health, and innovative therapeutic systems, exemplified by her development of patented technologies for emotional analysis and psychological detection. Dr. Gao has led and contributed to multiple national and provincial research projects, published in SSCI-indexed journals, authored books, and actively collaborates with international institutions. Her contributions offer novel insights into mental health treatment and criminal behavior correction, positioning her as a promising researcher with both academic depth and practical impact.

Professional Profile 

🎓 Education of Juan Gao

Dr. Juan Gao holds a robust academic foundation that bridges medicine and psychology. She earned her Bachelor’s degree in Traditional Chinese Medicine, which equipped her with a deep understanding of classical diagnostic and therapeutic techniques rooted in holistic health philosophies. She further pursued a Master’s degree in Integrated Traditional Chinese and Western Medicine, gaining expertise in blending modern medical approaches with traditional practices. During her doctoral studies, Dr. Gao specialized in psychology, with a research focus on criminal psychological assessment and correction, allowing her to integrate medical and psychological frameworks into innovative, interdisciplinary research and practice.

💼 Professional Experience of Juan Gao

Dr. Juan Gao currently serves as an Associate Professor at The National Police University for Criminal Justice, where she combines her expertise in medicine and psychology to advance interdisciplinary research in criminal mental health and psychological intervention. With a strong clinical and academic background, she has led or participated in multiple provincial and ministerial-level research projects focused on adolescent psychology, mental disorder treatment, and judicial psychological correction. Her professional experience includes collaborations with institutions such as the Philippine Center for Traditional Chinese Medicine and the China Institute for Crime Prevention. In addition, Dr. Gao is actively involved in academic publishing, patent development, and serves as a reviewer for the British Journal of Clinical Psychology, highlighting her role as a respected voice in both national and international research communities.

🔬 Research Interests of Juan Gao

Dr. Juan Gao’s research interests lie at the intersection of criminal psychology, adolescent mental health, and integrated traditional Chinese and Western medical approaches to psychological disorders. She is particularly focused on the application of acupuncture and moxibustion for mental health conditions, aiming to reduce drug dependence and improve therapeutic outcomes through holistic, non-invasive methods. Her work emphasizes the diagnosis and correction of criminal behavior, leveraging psychological profiling and intervention techniques informed by both Eastern and Western medical systems. Additionally, she explores emerging technologies in mental health assessment, such as emotional analysis systems and immersive psychological tools, to support innovative treatment models with high safety, low side effects, and improved efficacy.

🏅 Awards and Honors of Juan Gao

Dr. Juan Gao has been recognized for her impactful contributions to interdisciplinary research and mental health innovation. Her leadership in provincial and ministerial-level research projects, particularly those addressing adolescent depression and criminal psychological correction, has earned her commendations within academic and governmental circles in China. The successful development and registration of patented psychological detection systems also highlight her commitment to translating research into practical solutions. As a peer reviewer for international journals like the British Journal of Clinical Psychology, Dr. Gao has received professional recognition for her academic integrity and expertise. These honors underscore her rising influence in the fields of psychological science and integrated medicine.

Conclusion

Dr. Juan Gao demonstrates outstanding early-career accomplishments across diverse yet integrated fields. Her innovative work at the intersection of traditional medicine, psychological science, and criminal justice, coupled with published patents and SSCI-indexed research, sets her apart as a strong contender for the Best Researcher.

📚Publications Top Noted

Title: A meta-analysis of prospective cohort studies on screen time and the risk of depression in adolescents

  • Authors: Juan Gao and Lijuan Gao
  • Year: 2024
  • Journal: Acta Psychologica (Volume 251, November 2024), article 104530

Faroque Ahmed | Quantitative Hypotheses | Best Researcher Award

Faroque Ahmed | Quantitative Hypotheses | Best Researcher Award

Mr Faroque Ahmed, Ural Federal University, Russia, Russia

Faroque Ahmed is a PhD researcher at Ural Federal University, Russia 🇷🇺, specializing in development studies and financial economics 📊. He holds an M.Sc. and B.Sc. in Statistics from Islamic University, Kushtia-Jhinaidah, where he achieved top positions in his class 🥇. With research interests in quantile-based methods, VARs, data mining, and machine learning 🤖, he has served as a Senior Research Associate at the Bangladesh Institute of Governance and Management (BIGM) and as a Research Assistant at the Islamic University, working on credit card fraud detection. Faroque also boasts excellent academic achievements and IELTS proficiency 🏅📚.

Publication profile

Scopus

Education

📚 With a strong academic background, I hold a Master’s in Statistics from Islamic University, Kushtia-Jhinaidah, completed in 2015 with an ‘A’ grade and a CGPA of 3.91, securing first-class first position 🥇. My Bachelor’s in Statistics from the same university, completed in 2014, earned me an ‘A’ grade and a CGPA of 3.84, ranking second in first class 🥈. Prior to this, I excelled in Science, achieving a perfect GPA of 5.00 in both my Higher Secondary (2009) and Secondary (2006) School Certificates at New Govt. Degree College and Masjid Mission Academy, respectively 🌟.

Experience

Since 2022, the user has been a PhD Researcher at the Laboratory of International & Regional Economics (LIRE) at the Graduate School of Economics and Management (GSEM), Ural Federal University, Yekaterinburg, Russia 📚🌍. Concurrently, they have served as a Senior Research Associate at the Bangladesh Institute of Governance and Management (BIGM), affiliated with the University of Dhaka, since 2019 🏢🇧🇩. Previously, from 2016 to 2019, they worked as a Research Assistant at the Quantitative Financial Economic Development (QFED) Lab in the Dept. of Statistics at Islamic University, Kushtia, Bangladesh, focusing on credit card fraud detection using machine-learning algorithms under the supervision of Md. Altaf Hossain 💳🤖.

Research Interest

I am passionate about the fields of development studies and financial economics, focusing on advanced methodologies and data analysis. My expertise includes quantile-based methods, various types of VARs, and data mining techniques. I am proficient in leveraging machine learning and big data analysis for robust econometric modeling. Through these skills, I aim to contribute to the understanding and development of economic policies and practices. 📊💡🔍📉💻🔎

Awards

In 2017-18, I was awarded the UGC research grant for my master’s project on the socio-economic effects of remittance on Bangladeshi migrant households. Under the supervision of Md. Altaf Hossain, an Associate Professor at Islamic University, Kushtia, Bangladesh, I conducted extensive research in this area. Additionally, in 2017, I completed Big Data Analytics Training through the LICT project of the ICT Ministry, People’s Republic of Bangladesh. 📚🔍💼 The grant and training significantly enhanced my research capabilities and data analysis skills, contributing to my academic and professional growth. 📈🌏

Research focus

Faheem Ahmed’s research primarily focuses on the intersection of economics, environmental studies, and technological applications. His work includes examining the impact of geopolitical risks on global finance, analyzing the economic growth-environment nexus, and exploring the implications of AI technology on industrial outputs and energy consumption. Additionally, Ahmed delves into health outcomes influenced by governance and education, social distancing behaviors during Covid-19, and predictive modeling for air quality and credit card fraud detection. His interdisciplinary approach combines machine learning with economic and environmental analysis, reflecting a broad interest in sustainable development and risk management. 🌍📊💡🌱📉🔍.

Publication top notes

Robot race in geopolitically risky environment: Exploring the Nexus between AI-powered tech industrial outputs and energy consumption in Singapore

Semi-Supervised Machine Learning Method for Predicting Observed Individual Risk Preference Using Gallup Data

Assessing the impact of Russian–Ukrainian geopolitical risks on global green finance: a quantile dependency analysis

An inquiry into the achievements in health outcomes of Bangladesh: role of health expenditure, income, governance and female education

Integration of theory of planned behavior into actual social distancing behavior amid Covid-19

Economic growth and environmental pollution nexus in Ba

An analysis of energy, environment and economic growth (EEE) nexus: a 2SLS approach

Creative social media use for Covid-19 prevention in Bangladesh: a structural equation modeling approach

A comparative study of credit card fraud detection using the combinati

Predicting air quality of Dhaka and Sylhet divisions in Bangladesh: a time series modeling approach