Bahar Çiftçi | Healthcare Data Analysis | Best Researcher Award

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Best Researcher Award: Bahar Çiftçi

Bahar Çiftçi – Atatürk Üniversitesi ,Turkey

Bahar Çiftçi
Affiliation Atatürk Üniversitesi
Country Turkey
Scopus ID 56798076100
Documents 59
Citations 338
h-index 11
Subject Area Healthcare Data Analysis
Event International Research Data Analysis Excellence & Awards
ORCID 0009-0006-6682-7192

Bahar Çiftçi is a researcher affiliated with Atatürk Üniversitesi in Turkey. The supplied academic profile identifies healthcare data analysis as the subject area and reports 59 documents, 338 citations, and an h-index of 11. These bibliometric indicators provide an overview of reported scholarly activity and offer a starting point for evaluating research output and academic visibility [2].

Abstract

This article presents an academic profile of Bahar Çiftçi, a researcher affiliated with Atatürk Üniversitesi in Turkey. The supplied information identifies healthcare data analysis as the relevant subject area and reports 59 documents, 338 citations, and an h-index of 11. These indicators summarize reported research productivity and citation visibility but should be interpreted alongside qualitative evidence of research quality [1].

Keywords

Bahar Çiftçi; healthcare data analysis; research analytics; bibliometrics; academic publications; citation analysis; h-index; health research; scholarly impact; research recognition

Introduction

Healthcare data analysis involves examining health-related information to identify patterns, evaluate outcomes, and support evidence-based decisions. Researchers in this field contribute to the interpretation of complex datasets and the development of analytical approaches. Bahar Çiftçi’s supplied profile provides a starting point for reviewing research activity, publication output, and scholarly visibility within the identified subject area [3].

Research Profile

Bahar Çiftçi is listed as affiliated with Atatürk Üniversitesi in Turkey, with healthcare data analysis identified as the relevant subject area. The supplied bibliometric information reports 59 documents, 338 citations, and an h-index of 11. These figures provide a quantitative overview of the research profile. The institutional affiliation and publication records should be verified against official academic sources [2].

Research Contributions

Healthcare data analysis supports research through statistical evaluation, data interpretation, identification of patterns, and assessment of health-related outcomes. The available profile identifies this field as relevant to Bahar Çiftçi’s academic work. Specific contributions, methodologies, and findings should be established by reviewing individual publications. This approach ensures that descriptions of research achievements remain evidence-based, accurate, and academically appropriate [1].

Publications

The supplied Scopus profile reports 59 documents associated with Bahar Çiftçi. Publication records can help readers examine research themes, co-authorship, publication venues, and scholarly development over time. Individual article titles, publication dates, and digital object identifiers should be obtained from verified bibliographic records. Reviewing these sources provides a more complete understanding of research output than aggregate metrics alone [2].

Research Impact

The supplied profile reports 338 citations and an h-index of 11, indicating measurable citation activity across the recorded research output. Citation indicators help describe scholarly visibility but may vary according to discipline, publication age, and database coverage. A balanced assessment should also consider methodological rigor, originality, reproducibility, practical relevance, and the influence of individual publications [3].

Award Suitability

The Best Researcher Award provides an opportunity to recognize scholarly activity, research contributions, and sustained academic engagement. Bahar Çiftçi’s supplied profile offers publication and citation indicators for preliminary consideration. A fair evaluation should additionally examine verified publications, originality, research quality, documented contributions, and the award’s eligibility requirements. Bibliometric indicators can support an assessment but cannot independently establish award eligibility or guarantee selection [2].

Conclusion

Bahar Çiftçi’s supplied profile identifies an academic affiliation with Atatürk Üniversitesi in Turkey and a research subject area of healthcare data analysis. The reported 59 documents, 338 citations, and h-index of 11 provide a quantitative overview of scholarly activity. Further evaluation should combine verified publication records with qualitative assessment of research contributions, originality, and award criteria [1].

References

  1. Effect of social support on the treatment adherence of hypertension patients
    https://www.researchgate.net/publication/329516529
  2. The effect of video assisted instruction on central venous catheter application skills, anxiety and satisfaction in nursing students: a randomised controlled study
    https://link.springer.com/article/10.1186/s12909-026-09532-w
  3. Exploring academic mobbing among graduate nursing students: a mixed-methods study
    https://link.springer.com/article/10.1186/s12909-026-09561-5

Yung-Chien Hsu | Healthcare Data Analysis | Best Researcher Award

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Best Researcher Award

Yung-Chien Hsu — Chiayi Chang Gung Memorial Hospital, Taiwan

Researcher Profile
Affiliation Chiayi Chang Gung Memorial Hospital
Country Taiwan
Scopus ID 54887731400
Documents 42
Citations 1,523
h-index 21
Subject Area Healthcare Data Analysis
Event International Research Data Analysis Excellence & Awards
ORCID 0000-0002-8309-0579

Yung-Chien Hsu is identified in the supplied researcher profile as being affiliated with Chiayi Chang Gung Memorial Hospital in Taiwan and working in the field of healthcare data analysis. The profile provides bibliometric information including 42 documents, 1,523 citations, and an h-index of 21. These indicators are presented as descriptive research-profile information and may be considered alongside publication quality, collaboration, research relevance, and broader academic contributions when assessing research recognition. Bibliometric indicators are commonly used as supplementary measures of scholarly activity, although they do not independently establish the quality or significance of individual research outputs. [1][2]

Abstract

Healthcare data analysis integrates clinical, administrative, and research data to support evidence-based decision-making, quality improvement, and efficient health-service planning. For Yung-Chien Hsu, the research profile emphasizes this subject area within an academic and clinical environment, where systematic analysis can help identify patterns, evaluate outcomes, and inform data-driven healthcare practices. The Best Researcher Award recognizes scholarly activity through documented research indicators, including publications, citations, and h-index. Hsu’s supplied profile reports 42 documents, 1,523 citations, and an h-index of 21. These indicators provide measurable evidence for evaluating research visibility, while the award framework may consider broader academic contribution, relevance, and sustained engagement.

Keywords

Healthcare data analysis; medical informatics; bibliometrics; research impact; scholarly communication; clinical data; research evaluation; academic recognition.

Introduction

Healthcare data analysis encompasses methods for organizing, examining, interpreting, and communicating information generated through healthcare delivery and research. Its applications include clinical research, health-service evaluation, quality improvement, epidemiological assessment, and evidence-informed planning. Increasing availability of digital health information has expanded opportunities for researchers to investigate complex healthcare questions using structured and reproducible analytical approaches. [3]

Within this context, researcher evaluation may incorporate both qualitative and quantitative evidence. Publication records, citation counts, and h-index values can provide indicators of scholarly visibility, while expert assessment remains important for determining methodological quality, originality, relevance, and contribution to a field. [1][2] The present article summarizes the supplied academic profile of Yung-Chien Hsu in relation to the Best Researcher Award.

Research Profile

The supplied profile identifies Yung-Chien Hsu with Chiayi Chang Gung Memorial Hospital in Taiwan and associates the researcher with healthcare data analysis. The stated Scopus identifier is 54887731400, while the reported publication and citation indicators are 42 documents, 1,523 citations, and an h-index of 21. These figures should be interpreted as profile-level bibliometric information and may change as databases are updated. [2]

Research Contributions

The researcher profile places healthcare data analysis at the center of the reported subject area. Research in this domain can contribute to healthcare by transforming complex datasets into interpretable evidence for clinical, operational, and research decisions. Depending on the specific studies involved, relevant contributions may include data preparation, statistical analysis, outcome evaluation, predictive modelling, and interpretation of healthcare-related information.

Publications

The supplied profile reports 42 documents associated with the researcher. Because individual publication titles, journals, publication years, authorship positions, and DOI identifiers were not supplied, this article does not assign specific publications or DOI records to Yung-Chien Hsu without independent bibliographic verification. The Scopus author profile provides an appropriate starting point for reviewing the current indexed publication record. [1]

Research Impact

The supplied citation count of 1,523 and h-index of 21 indicate measurable scholarly visibility within the stated profile. The h-index is intended to combine publication productivity and citation impact, although it is sensitive to disciplinary and career-stage differences and should not be treated as a complete measure of research quality. [2]

Award Suitability

The International Research Data Analysis Excellence & Awards is identified in the supplied information as the event associated with the Best Researcher Award. Based on the supplied profile, Hsu has documented bibliometric indicators that may be relevant to a research-recognition assessment, including 42 documents, 1,523 citations, and an h-index of 21. [3]

Conclusion

Yung-Chien Hsu is presented in the supplied profile as a researcher affiliated with Chiayi Chang Gung Memorial Hospital in Taiwan and working in healthcare data analysis. The reported record of 42 documents, 1,523 citations, and an h-index of 21 provides quantitative evidence of scholarly activity and visibility. These indicators may support consideration for research recognition, while a complete award assessment should incorporate independently verified publications, research quality, originality, relevance, and documented impact.

References

  1. Lin, S.-J., Liu, C.-C., Tsai, D. M. T., Shih, Y.-H., Lee, C.-P., Chen, K.-J., Yang, Y.-H., Hsu, Y.-C., & Lin, C.-L. (n.d.). Association of Danshen use with all-cause and cardiovascular mortality among patients with advanced chronic kidney disease.
    https://www.sciencedirect.com/science/article/pii/S1876382025001313
  2. Hsu, Y.-C. (n.d.). ORCID profile of Yung-Chien Hsu. ORCID Registry.
    https://orcid.org/0000-0002-8309-0579
  3. Elsevier. (n.d.). Scopus author details: Yung-Chien Hsu. Scopus.
    https://www.scopus.com/pages/authors/54887731400

Dr .Rie Nakayama | Diagnostic Analytics | Research Excellence Award

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Dr .Rie Nakayama | Diagnostic Analytics | Research Excellence Award

Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Science | Japan

Dr. Rie Nakayama is a Japanese cardiologist and Assistant Professor (Special Appointment) at Okayama University’s Graduate School of Medicine, Dentistry and Pharmaceutical Sciences. She earned her MD from Kagawa University  and completed her PhD in Cardiovascular Medicine at Okayama University. With extensive clinical and academic experience, she specializes in cardiovascular medicine, echocardiography, and cardiac rehabilitation. Dr. Nakayama holds multiple board certifications from leading Japanese medical societies and has received several prestigious awards for her research presentations. Her work reflects a strong commitment to advancing cardiovascular care, clinical research, and medical education in Japan.

View Orcid Profile

Featured Publications

Harun Sarwari | Healthcare Data Analysis | Excellence in Research

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University heart center Hamburg | Germany

Dr. Harun Sarwari | Healthcare Data Analysis | Excellence in Research

University Heart Center Hamburg | Germany

Dr. Harun Sarwari is a dedicated medical doctor specializing in cardiovascular care at the University Heart and Vascular Center in Hamburg. Born in Kabul and trained in Germany, he completed his medical education at the University Medical Center Hamburg-Eppendorf, where he also gained extensive clinical experience. His research focuses on innovative cardiac monitoring techniques, reflected in his doctoral work and peer-reviewed publications in cardiothoracic medicine. With a strong background in both clinical practice and scientific research, he contributes to advancing patient care and cardiovascular outcomes through evidence-based approaches and continuous professional development.

Citation Metrics (Scopus)

55
35
25
15
0

Citations
55

Documents
7

h-index
3

Citations

Documents

h-index


View Scopus Profile

Featured Publications

Chayma Erraja | Covid-19 Analysis | Research Excellence Award

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Assoc. Prof. Dr. Chayma Erraja | Covid-19 Analysis | Research Excellence Award

Wenzhou Business School | China

Assoc. Prof. Dr.Chayma Erraja is a dedicated scholar and Associate Professor specializing in Business Administration with a focus on environmental management and international trade. She holds a doctorate from Dalian University of Technology and dual master’s degrees from leading institutions in France and China. With extensive international teaching experience at Wenzhou Business College, she integrates global market practices into academic curricula while conducting impactful research on sustainability and economic policy. A multilingual professional fluent in five languages, she possesses strong analytical expertise using tools such as STATA, SPSS, R, and PLS-SEM, and actively contributes to academia as a peer reviewer for top-tier journals.

Citation Metrics (Scopus)

30
20
10
5
0

Citations
10

Documents
2

h-index
2

Citations

Documents

h-index


View Scopus Profile
 View Orcid Profile

Featured Publications

Bo Zhai | Healthcare Data Analysis | Best Researcher Award

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Prof Dr. Bo Zhai | Healthcare Data Analysis | Best Researcher Award

The Fourth Hospital of Harbin Medical University, China

Author Profile

Scopus

Early Academic Pursuits 📚

Dr. Bo Zhai, a highly respected Chief Physician and Associate Professor at The Fourth Hospital of Harbin Medical University, began his academic journey with a focus on hepatology and cell biology. After earning his MD, Dr. Zhai pursued advanced training as a Postdoctoral Fellow and later became a Fellow of the American College of Surgeons (FACS). His early academic work laid the foundation for his ongoing contributions to liver cancer research, particularly in the realm of hepatocellular carcinoma (HCC).

Professional Endeavors 🏥

Dr. Zhai has had a distinguished professional career, having served as a visiting scholar at the Liver Research Center of Brown University in the USA, sponsored by the National Foreign Experts Bureau. His work on liver cancer has been pivotal in understanding the complexities of HCC, a disease known for its resistance to conventional therapies like sorafenib. His international experience has broadened his research scope and enriched his academic and clinical expertise.

Contributions and Research Focus 🧬

Dr. Zhai’s primary research focus is on hepatocellular carcinoma (HCC), particularly how ASPH (Aspartate β-hydroxylase) influences cell death and contributes to chemoresistance in HCC. He has discovered that high levels of ASPH in HCC enhance proliferation, migration, and invasion, and also predict worse clinical outcomes for patients undergoing sorafenib treatment. His groundbreaking work suggests that targeting ASPH could break new ground in HCC therapy, overcoming the challenges posed by drug resistance.

Impact and Influence 🌍

Dr. Zhai’s research has had a significant impact on the field of liver cancer research, especially in understanding mechanisms of resistance to conventional cancer therapies. His studies on ASPH in HCC have opened new avenues for therapeutic interventions, providing insights into the role of autophagy, ferroptosis, and cell survival pathways in cancer progression. His work has been published in prestigious journals, including Cancer Letters, and is cited widely, underlining his contribution to the scientific community.

Academic Citations 📈

With an impressive citation index of 17.7, Dr. Zhai’s work is highly regarded in the academic community. His research publications, particularly those related to ASPH and HCC, have made substantial contributions to the understanding of liver cancer biology. His studies have provided valuable insights into the molecular mechanisms behind HCC’s resistance to chemotherapy, paving the way for new therapeutic strategies.

Technical Skills 🔬

Dr. Zhai has a wide range of technical skills, including expertise in molecular biology, cancer cell biology, and animal model studies. His proficiency in studying autophagy, ferroptosis, and tumor metastasis has made him a leader in the field of liver cancer research. Additionally, his experience with gene silencing and knockout models has allowed him to explore new potential targets for cancer treatment.

Teaching Experience 🧑‍🏫

As an Associate Professor, Dr. Zhai has contributed significantly to the education and mentoring of graduate and medical students. He has supervised numerous Master’s students and postdoctoral fellows, passing on his expertise in liver cancer research. His teaching extends beyond the classroom, as he is also involved in sharing his knowledge and findings through academic conferences and seminars.

Legacy and Future Contributions 🌱

Dr. Zhai’s legacy in liver cancer research is already well-established, with his groundbreaking work on ASPH setting the stage for future therapeutic developments. As he continues to pursue innovative approaches in HCC treatment, his research promises to lead to better clinical outcomes for patients battling liver cancer. His future contributions to the field will likely focus on developing targeted therapies that can overcome chemoresistance and improve patient survival rates.

Top Noted Publications 📖

ASPH dysregulates cell death and induces chemoresistance in hepatocellular carcinoma
    • Authors: Jingtao Li, Guocai Zhong, Fengli Hu, Qiushi Lin, Xiaoqun Dong, Bo Zhai
    • Journal: Cancer Letters
    • Year: 2024
Mechanisms of vascular co-option as a potential therapeutic target in hepatocellular carcinoma
    • Authors: Ming-Hao Qi, Jing-Tao Li, Bo Zhai
    • Journal: World Chinese Journal of Digestology
    • Year: 2024
Aspartate-β-hydroxylase as a promising prognostic and therapeutic biomarker for HBV-positive hepatocellular carcinoma
    • Authors: Jingtao Li, Zongwen Wang, Xiaohang Ren, WenYu Liu, Shicong Zeng, Bo Zhai
    • Journal: Research Square
    • Year: 2023
Is hepatic resection always a better choice than radiofrequency ablation for solitary hepatocellular carcinoma regardless of age and tumor size?
    • Authors: Shicong Zeng, Yao Zhang, Zongwen Wang, Qiankun Zhu, Yan Yan, Bo Zhai
    • Journal: Biomolecules & Biomedicine
    • Year: 2023
Identification of risk and prognostic factors for intrahepatic vascular invasion in patients with hepatocellular carcinoma: a population-based study
    • Authors: Shicong Zeng, Zongwen Wang, Qiankun Zhu, Fengli Hu, Lishan Xu, Bo Zhai
    • Journal: Translational Cancer Research
    • Year: 2022

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

Oluwakemi Abuka | Healthcare Data Analysis | Excellence in Research

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Ms. Oluwakemi Abuka | Healthcare Data Analysis | Excellence in Research

 Ms. Oluwakemi Abuka at Devereux Direct Care Organization, United States

 Profile

Google Scholar Profile

🎓 Education Background

Oluwakemi Abuka earned her Master of Science in Sociology from the University of Ibadan in 2011, following a Bachelor of Science in Sociology from Bowen University in 2007. Her educational journey provided a solid foundation in sociological theories and research methodologies, fueling her career in administrative and behavioral health roles. 📚🎓

🏛️ Professional Experience

With over 7.5 years of experience, Oluwakemi has served as an Administrative Officer in Ogun State Civil Service, focusing on vendor management, budget planning, and conflict resolution among community leaders. Currently, she is a Senior Healthcare Professional at Devereux Advanced Behavioral Health, where she supports individuals’ well-being and ensures their safe, productive integration into their communities. 👩‍💼🌟

📝 Research Interests

Oluwakemi’s research centers on adolescent mental health, substance abuse, and public health interventions. Her work explores the impact of social media on substance abuse and integrates technology to enhance mental health outcomes. 🧠🔬

📜 Publications and Media

Her research has been featured in peer-reviewed journals and notable media outlets, emphasizing her expertise in adolescent behavioral health and the socio-cultural impacts of substance abuse. Articles include studies on adolescent mental health innovations and substance abuse’s role in the digital age. 📖📰

🏅 Certifications and Training

Oluwakemi holds several certifications, including Adult First Aid/CPR/AED from the American Red Cross and various behavioral health training from Devereux. Her professional development also includes workshops on human resources management and administrative skills. 🏅🎓

🌐 Professional Memberships

She is a member of the American Sociological Association, reflecting her commitment to advancing the field of sociology and behavioral health through active participation in professional communities. 🌐🤝

📖 Publication

Enhancing adolescent mental health outcomes through integrated technology (AI) innovations in the United States

    • Authors: OAAJSA Ajibola O Adesina
    • Journal: International Journal of Advanced Psychiatric Nursing
    • Year: 2024

Occupation Injuries among Health Care Workers in Selected Hospitals in Ogbomosho, Oyo State

    • Authors: A Ajibola, OA Abuka
    • Journal: International Journal of Innovative Science and Research Technology
    • Year: 2024

Substance abuse among young adults, and the contributing factors of social media in the United States

    • Authors: OA Abuka, AO Adesina
    • Journal: World Journal of Biology Pharmacy and Health Sciences
    • Year: 2024

Bureaucracy and Level of Efficiency among Professional Staff of Federal Neuropsychiatric Hospital Aro, Abeokuta, Ogun State

    • Authors: Oluwakemi Abuka
    • Journal: Abeokuta, Ogun State (May 12, 2015)
    • Year: 2015

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.

Publication Top Noted: