Bashar Ibrahim | Health | Best Researcher Award

Assist. Prof . Dr. Bashar Ibrahim | Health | Best Researcher Award

suleyman demirel university, Turkey

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🎓 Early Academic Pursuits

Bashar Ibrahim's academic journey began with a Bachelor's degree in Microbiology from Mosul University, awarded on August 2, 2003. His deep interest in medical microbiology led him to pursue a Master's degree at Gazi University, where he completed his thesis titled "Allojenik nakil olan akut lösemili hastalarda nakil öncesi ve sonrası HEV prevalansı" under the supervision of Gülendam Bozdayı in February 2011. Furthering his scholarly pursuits, he earned a Ph.D. in Medical Microbiology (Medicine) from Eskisehir Osmangazi University in June 2016, where he conducted in-depth research on the prevalence of Campylobacter jejuni in infectious diarrheas under the guidance of Gül Durmaz.

đź§Ş Professional Endeavors

Dr. Bashar Ibrahim currently serves as an Assistant Professor in the Department of Pharmaceutical Microbiology at the Faculty of Pharmacy, Suleyman Demirel University, since January 11, 2020. His academic career reflects a robust engagement with the field of medical microbiology, particularly with a pharmaceutical application focus. He plays a vital role not just in academia but also in research project development and scientific collaborations at both national and international levels.

🔬 Contributions and Research Focus

His research spans infectious diseases, clinical virology, parasitology, vaccines, and the rational use of antimicrobials. His doctoral and master's theses underscore a sustained focus on pathogen prevalence in clinical settings, notably HEV in leukemia patients undergoing transplantation and Campylobacter jejuni in gastrointestinal infections. Dr. Ibrahim is also actively involved in a TÜBİTAK 1507 KOBİ R&D project supporting pharmaceutical innovation, where he serves as a researcher, collaborating with Principal Investigator Ahmet Arif Kurt since September 15, 2024.

🏆 Impact and Influence

In recognition of his contributions to the field, Dr. Ibrahim was honored with the Science Honor Award (Bilim Onur Ă–dĂĽlĂĽ) by the International Academy of Sciences in 2020. This prestigious accolade affirms his influence in the field of pharmaceutical microbiology and the broader scientific community.

📊 Academic Citations & Visibility

While citation databases and publication specifics are not listed here, Dr. Ibrahim’s award-winning recognition and project involvement suggest active engagement with peer-reviewed scientific literature. Further details on his citation metrics, h-index, or Scopus/Google Scholar profiles would enrich this section upon availability.

đź’» Technical & Research Skills

Dr. Ibrahim possesses technical expertise in microbial diagnostics, clinical microbiology, virology, sterility assurance, vaccine development, immunology lab techniques, and parasitology testing. His training spans complex laboratory methodologies used in infectious disease monitoring, sterile pharmaceutical practices, and antimicrobial resistance assessment.

📚 Teaching Experience

With a strong commitment to education, Dr. Ibrahim has designed and delivered a range of undergraduate courses at Suleyman Demirel University. These include:

  • Infectious Diseases (Spring 2024–2025)

  • Vaccines (Spring 2024–2025 and 2022–2023)

  • Sterility, Hygiene and Asepsis in Pharmacy (Fall 2023–2024)

  • Antimicrobials and Rational Use (Fall 2023–2024)

  • Pharmaceutical Microbiology & Immunology Lab (Fall 2023–2024 and 2022–2023)

  • Clinical Microbiology and Medical Virology (Spring and Fall 2022–2023)

  • Medical Parasitology (Fall 2023–2024)

These courses, delivered in Turkish, reflect his multidisciplinary approach and dedication to practical, lab-based learning integrated with theoretical microbiological principles.

🌟 Legacy and Future Contributions

Dr. Bashar Ibrahim continues to contribute meaningfully to the future of pharmaceutical microbiology through teaching, research, and applied science collaboration. His involvement in national-level R&D, especially within TÜBİTAK’s innovation-driven ecosystem, signals a commitment to bridging academic knowledge with real-world pharmaceutical applications. His trajectory suggests increasing influence in both academic mentoring and health sciences policy research, particularly in Turkey and the broader scientific arena.

Selected Publications

  • Authors: Ali Ă–ztĂĽrk, Taylan Bozok, Merve ErdoÄźan, Bashar M.S. Ibrahim, Tugce Simsek Bozok

  • Journal: Folia Microbiologica

  • Year: Published online June 9, 2023 pubmed.ncbi.nlm.nih.gov+10scienceopen.com+10ouci.dntb.gov.ua+10

  • Authors: Bashar İbrahim, GĂĽl Durmaz, Mehdi Meskini Heydarlou

  • Journal: Osmangazi Tıp Dergisi (Osmangazi Journal of Medicine)

  • Year: 2020 turkmedline.net+3researchgate.net+3dergipark.org.tr+3

  • Authors: Ahmet Arif Kurt, Bashar Ibrahim

  • Journal: Celal Bayar Ăśniversitesi SaÄźlık Bilimleri EnstitĂĽsĂĽ Dergisi

  • Year: 2024 dergipark.org.tr

  • Authors: Ahmet Arif Kurt, Bashar İbrahim

  • Journal: Journal of Immunology and Clinical Microbiology

  • Year: 2024 ouci.dntb.gov.ua+12dergipark.org.tr+12scholar.google.com+12

  • Authors: Bashar İbrahim, Ahmet Arif Kurt

  • Journal: Journal of Immunology and Clinical Microbiology

  • Year: 2024

Yuxiao Gao | Big Data Science and Technology | Best Researcher Award

Ms. Yuxiao Gao | Big Data Science and Technology | Best Researcher Award

Taiyuan University of Technology, China

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Early Academic Pursuits

Yuxiao Gao is currently an undergraduate student at Taiyuan University of Technology, majoring in Data Science and Big Data Technology. With a strong academic inclination toward cutting-edge technologies, Yuxiao has already made significant strides in the research community, especially in areas intersecting artificial intelligence and healthcare. His journey into research began with a deep interest in machine learning and its practical applications in the medical domain.

Professional Endeavors

Despite being an undergraduate, Yuxiao has demonstrated academic maturity by publishing a review article in an SCI-indexed journal focusing on deep learning-based medical image segmentation. He also showcased his work at a CCF-C level conference, presenting a novel segmentation framework, emphasizing his capability to contribute at recognized academic platforms. His technical skillset includes Python, Java, PyTorch, and proficiency in Linux environments, positioning him as a competent data science researcher.

Contributions and Research Focus

Yuxiao's research is characterized by interdisciplinary innovation. His notable contributions include developing a knowledge graph for Chinese health policy using Natural Language Processing (NLP)tools and assessing policies quantitatively via the Policy Modeling Consistency (PMC) index. This integration of NLP with healthcare and policy evaluation demonstrates his unique capability to apply data-driven approaches to real-world problems, reflecting both depth and relevance in his academic endeavors.

Collaborations and Academic Influence

Yuxiao has collaborated with faculty members involved in medical imaging and health policy analytics, enriching his interdisciplinary experience. His ability to merge computer vision, NLP, and graph databases to solve complex healthcare issues has made him a valuable contributor to collaborative research teams, even at the early stages of his career.

Academic Citations and Publications

Yuxiao has authored one SCI-indexed review paper and presented at a CCF-C conference, with future publications expected as his research matures. Although citation metrics are currently not applicable due to the early stage of his career, his work’s relevance and potential for impact are evident through the quality of publication and platforms.

Technical Skills

His core technical proficiencies span deep learning frameworks (PyTorch), programming languages (Python, Java), and Linux-based systems. Additionally, Yuxiao has hands-on experience in knowledge graph construction, policy analysis using PMC modeling, and implementing medical image segmentation frameworks, marking his expertise across both structured and unstructured data domains.

Recognition and Award Preference

Given his strong foundation in research, innovation, and interdisciplinary applications of data science, Yuxiao Gao is a deserving candidate for the Best Undergraduate Researcher Award. His achievements, despite being in the early stage of his academic career, reflect both academic rigor and real-world impact.

Legacy and Future Contributions

Looking ahead, Yuxiao aims to expand his work inintelligent healthcare systems and policy informatics, striving to build solutions that bridge the gap between machine learning technologies and societal needs. His passion for integrating science, policy, and innovation is poised to shape meaningful outcomes in both academia and applied research domains.

Selected Publications

  • Title: A Review on Deep Learning-Based Medical Image Segmentation

  • Authors: Yuxiao Gao, [Co-author Names if any]

  • Journal: [Journal Name, e.g., IEEE Transactions on Medical Imaging]

  • Year: [Year, e.g., 2024]

Is this the exact published title?
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Please confirm the author list as it appears in the publication.
Is it:

  • Yuxiao Gao (sole author), or

  • Yuxiao Gao plus other co-authors (please list them)?

Please provide the full journal name where this review was published (SCI-indexed).
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  • IEEE Transactions on Medical Imaging

  • Medical Image Analysis

  • Elsevier’s Journal of X
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