Chung-Chieh Hung | Healthcare Data Analysis | Best Researcher Award

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Dr. Chung-Chieh Hung | Healthcare Data Analysis | Best Researcher Award

Doctorate at Chung Shan Medical University Hospital, Taiwan

👨‍🎓 Profile

🩺 Current Position

Dr. Chung-Chieh Hung is the Chief of the Subdivision of Prevention of Addictive Diseases at the Department of Psychiatry, China Medical University Hospital, a role he has held since 2020. In this capacity, he leads efforts to address addiction-related disorders and improve treatment strategies.

🧠 Specialties

Dr. Hung specializes in various areas of psychiatry, including General Psychiatry, where he treats conditions such as anxiety disorders, sleep disorders, depression, bipolar disorder, schizophrenia, and dementia. His expertise also extends to Forensic Psychiatry, where he handles cases related to domestic violence and sexual offenders. Additionally, he is well-versed in Addiction Medicine and Judicial Psychiatric Evaluation, providing comprehensive assessments and treatments for addiction and legal cases.

🎓 Education

Dr. Hung obtained his Bachelor of Medicine from Chang Gung University. He furthered his education with a Master of Medical Science and a Doctor of Medical Science from China Medical University. Additionally, he holds a Master of Law from National Chung Hsing University and is currently pursuing a PhD in Law at National Chengchi University.

🏥 Professional Experience

Dr. Hung began his career as a Resident in Pediatric Internal Medicine at Linkou Chang Gung Memorial Hospital. He then served as a Chief Resident and Research Physician in the Department of Psychiatry at China Medical University Hospital before becoming an Attending Psychiatrist. From 2020 to 2023, he was the Director of the Division of Addiction Prevention.

📰 Academic Research and Publications

Dr. Hung has made significant contributions to psychiatry through his publications in renowned journals like JAMA Psychiatry and Frontiers in Bioengineering and Biotechnology. His research includes studies on Betel-Quid Use Disorder and the effects of antidepressants on betel-quid use, among others.

🌍 Oral Presentations & Posters

He has presented his research at various prestigious conferences, including the World Psychiatry Association Regional Meeting and international symposia on psychiatry and addiction.

🧩 Research Projects

Dr. Hung has led several research projects funded by the Ministry of Health and Welfare, focusing on problematic alcohol use, addiction treatment services, and methadone treatment quality improvement.

🏛️ Professional Roles in Government and Professional Organizations

He serves on the Domestic Violence Pre-Trial Assessment Panel for the Taichung City Health Bureau and is a Medical Dispute Initial Assessment Personnel for the Medical Quality Advancement Association. He is also an expert on sexual assault prevention laws for the Ministry of Health and Welfare and an external inspector for the Ministry of Justice’s Correctional Services.

⚖️ Forensic Psychiatry Evaluations

Dr. Hung has provided expert forensic psychiatric evaluations in various high-profile legal cases, including those involving sexual autonomy, violent crimes, and drug-related offenses.

🌟 Victim Assessments

He has also conducted assessments for victims of domestic violence and sexual crimes, offering crucial insights into victim credibility and trauma evaluation.

📖 Publications

Association between Single Nucleotide Polymorphisms in Monoamine Oxidase and the Severity of Addiction to Betel Quid
    • Authors: Chung-Chieh Hung, Ying-Chin Ko, Chia-Min Chung
    • Journal: Current Issues in Molecular Biology
    • Year: 2024
Cystine/Glutamate Antiporter in Schizophrenia: From Molecular Mechanism to Novel Biomarker and Treatment
    • Authors: Chung-Chieh Hung, Chieh-Hsin Lin, Hsien-Yuan Lane
    • Journal: International Journal of Molecular Sciences
    • Year: 2021
Characterization of Potential Protein Biomarkers for Major Depressive Disorder Using Matrix-Assisted Laser Desorption Ionization/Time-of-Flight Mass Spectrometry
    • Authors: Chieh-Hsin Lin, Hung Su, Chung-Chieh Hung, Hsien-Yuan Lane, Jentaie Shiea
    • Journal: Molecules
    • Year: 2021
An Ensemble Approach to Predict Schizophrenia Using Protein Data in the N-methyl-D-Aspartate Receptor (NMDAR) and Tryptophan Catabolic Pathways
    • Authors: Eugene Lin, Chieh-Hsin Lin, Chung-Chieh Hung, Hsien-Yuan Lane
    • Journal: Frontiers in Bioengineering and Biotechnology
    • Year: 2020
Effect of Antidepressants for Cessation Therapy in Betel-Quid Use Disorder: A Randomised, Double-Blind, Placebo-Controlled Trial
    • Authors: Chung-Chieh Hung, Chien-Hung Lee, Albert Min-Shan Ko, Chi-Pin Lee, Ying-Chin Ko
    • Journal: Epidemiology and Psychiatric Sciences
    • Year: 2020
Antidepressant-Induced Reduction in Betel-Quid Use in Patients with Depression: A Pioneer Clinical Study
    • Authors: Chung-Chieh Hung, Chien-Hung Lee, Chia-Min Chung, Hsien-Yuan Lane, Ying-Chin Ko
    • Journal: Medicine (Baltimore)
    • Year: 2020
Variants in FAT1 and COL9A1 Genes in Male Population with or without Substance Use to Assess the Risk Factors for Oral Malignancy
    • Authors: Chia-Min Chung, Chung-Chieh Hung, Chieh-Hsin Lin, Kuan-Tsa Yeh, Ying-Chin Ko
    • Journal: PLoS ONE
    • Year: 2019
Association of DSM-5 Betel-Quid Use Disorder with Oral Potentially Malignant Disorder in 6 Betel-Quid-Endemic Asian Populations
    • Authors: Chien-Hung Lee, Albert Min-Shan Ko, Frances M Yang, Chung-Chieh Hung, Saman Warnakulasuriya, Salah Osman Ibrahim, Rosnah Binti Zain, Ying-Chin Ko
    • Journal: JAMA Psychiatry
    • Year: 2018
Hypothyroidism May Exacerbate Valproate-Related Hyperammonemic Delirium
    • Authors: Chung-Chieh Hung, Chieh-Hsin Lin, Hsien-Yuan Lane
    • Journal: BioMedicine (Netherlands)
    • Year: 2016

Rafid Mostafiz | Medical data analysis | Best Researcher Award

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Mr. Rafid Mostafiz,Medical data analysis
, Best Researcher Award

Rafid Mostafiz at Noakhali Science and Technology University Bangladesh

Professional Profile:

Scopus Profile
Orcid Profile
Google Scholar Profile
Research Gate

Summary:

Mr. Rafid Mostafiz is a dedicated lecturer at the Institute of Information Technology, Noakhali Science and Technology University. His academic journey is marked by a strong foundation in computer science and engineering, focusing on deep learning, machine learning, computer vision, and data science. With a robust background in both teaching and research, he has contributed significantly to the fields of digital image processing, artificial intelligence, and distributed computing.

👩‍🎓Education:

  • Master of Science in Computer Science and Engineering
    • Mawlana Bhashani Science and Technology University, Bangladesh
    • Duration: January 24, 2018 – September 28, 2020
    • CGPA: 3.88/4.00
    • Thesis: “Automatic Lesions Detection in Liver Ultrasound using Super Resolution and Deep Feature Fusion”
  • Bachelor of Science in Computer Science and Engineering
    • Mawlana Bhashani Science and Technology University, Bangladesh
    • Duration: January 29, 2012 – July 30, 2017
    • CGPA: 3.58/4.00
    • Thesis: “Speckle Noise Reduction for 3-D Ultrasound Images by Optimum Threshold Parameter Estimation”

Professional Experience:

Mr. Rafid Mostafiz has built a robust career in academia, blending teaching and research with a focus on cutting-edge technologies. Currently, he serves as a Lecturer at the Institute of Information Technology, Noakhali Science and Technology University, where he has been since January 2022. In this role, he teaches courses such as Theory of Computation, Web Technology, Computer Architecture, and Distributed Computing, while also engaging in research on data science, machine learning, information theory, and security.

Prior to his current position, Rafid was an Assistant Professor at the Department of Computer Science & Engineering at Dhaka International University from January 2021 to January 2022. There, he taught Algorithm Design and Analysis, Data Structures, Object-Oriented Programming with JAVA, Digital Image Processing, and Artificial Intelligence. His research during this period focused on artificial intelligence, computer and robotics vision, neural networks and machine learning, Internet of Things, and blockchain technologies.

Research Interest :

Mr. Rafid Mostafiz’s research interests lie at the intersection of advanced computational techniques and real-world applications. He is deeply engaged in the fields of deep learning and machine learning, where he explores the development of intelligent systems capable of performing complex tasks. His work in computer vision focuses on enhancing image and video analysis through innovative algorithms and models. Rafid is also passionate about data science, utilizing statistical methods and computational tools to extract meaningful insights from large datasets. His research extends to the application of these technologies in biomedical imaging, where he aims to improve diagnostic accuracy and patient outcomes through advanced image processing techniques.

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