Bor-Sheng Ko | Biomedical and Healthcare Applications | Best Researcher Award

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Assoc. Prof. Dr. Bor-Sheng Ko | Biomedical and Healthcare Applications | Best Researcher Award

National Taiwan University Cancer Center, Taiwan

Author Profiles

Orcid

🎓 Academic and Professional Background

Dr. Ko earned his Medical Degree from NTUCM in 1995 and later completed his PhD in Clinical Medicine from the same institution. He has held prestigious leadership roles, including President of the Taiwan Society of Blood and Marrow Transplantation (2019–2022) and President of the Taiwan Society of Pharmacoeconomics and Outcome Research (2018–2023). He is also a member of the Executive Committee of the Asian-Pacific Blood and Marrow Transplantation (APBMT) Group, and currently presides over the Hematology Society of Taiwan (HST).

🏥 Designation and Institution

Assoc. Prof. Dr. Bor-Sheng Ko serves as the Director of the Department of Hematological Oncology at the National Taiwan University Cancer Center, Taiwan. He also holds dual roles as Director of the Tai-Cheng Cell Therapy Center and Associate Professor at the National Taiwan University College of Medicine (NTUCM).

🌍 Professional Memberships

Dr. Ko is actively engaged in numerous professional societies, including the Taiwan Society of Internal Medicine, Hematology Society of Taiwan, Taiwan Society of Blood and Marrow Transplantation, American Hematology Society, European Hematology Association, Asian-Pacific Bone and Marrow Transplantation Group, International Society of Pharmacoeconomics and Outcome Research, International Society of Cell Therapy, and the European Blood and Marrow Transplantation Group.

🔬 Areas of Research

Dr. Ko’s research spans hematology, hematopoietic stem cell transplantation (HSCT), pharmaco-economics, and the application of machine learning and deep learning in data science for clinical use. His interdisciplinary focus bridges traditional clinical research with cutting-edge computational methods.

📈 Research Contributions

Dr. Ko is a prominent figure in the study of hematopoietic diseases, particularly leukemia, lymphoma, and HSCT. He has recently led projects on medical databank development, big data analysis, and the integration of AI technologies—including machine learning and deep learning algorithms—into healthcare settings. A dedicated academic, Dr. Ko has published extensively in high-impact international journals, significantly advancing research in his fields of expertise.

Notable Publications📝

📝Recommendations for the treatment and management of adult B‐Cell acute lymphoblastic leukemia in Asia‐Pacific: Outcomes from a pilot initiative

Author: Zhentang Lao; Kwong Yok Lam; Yuk Man Carol Cheung; Chieh‐Lin Teng; Vivek Radhakrishnan; Dinesh Bhurani; Bor‐Sheng Ko; Yeow Tee Goh

Journal: Asia-Pacific Journal of Clinical Oncology

Year: 2024

📝Pooled analysis of pralatrexate single-agent studies in patients with relapsed/refractory peripheral T-cell lymphoma

Author: Owen A. O’Connor; Bor-Sheng Ko; Ming-Chung Wang; Dai Maruyama; Yuqin Song; Ee-Min Yeoh; Nick Manamley; Kensei Tobinai

Journal: Blood Advances

Year: 2024

📝Asia‐Pacific Leukemia Consortium: An innovative and collaborative initiative to improve care of leukemia and related diseases in the Asia‐Pacific region

Author: Zhentang Lao; Eric Wai Choi Tse; Suporn Chuncharunee; Yok Lam Kwong; Andrew Wei; Bor Sheng Ko; Jin Seok Kim; Soo Chin Ng; Jianxiang Wang; Yeow Tee Goh

Journal: Asia-Pacific Journal of Clinical Oncology

Year: 2023

📝A Chunking-for-Pooling Strategy for Cytometric Representation Learning for Automatic Hematologic Malignancy Classification

Author: Jeng-Lin Li; Yun-Chun Lin; Yu-Fen Wang; Sara A. Monaghan; Bor-Sheng Ko; Chi-Chun Lee

Journal: IEEE Journal of Biomedical and Health Informatics

Year: 2022

📝Iptacopan monotherapy in patients with paroxysmal nocturnal hemoglobinuria: a 2-cohort open-label proof-of-concept study

Author: Jun Ho Jang; Lily Wong; Bor-Sheng Ko; Sung-Soo Yoon; Katie Li; Irina Baltcheva; Prasanna Kumar Nidamarthy; Raghav Chawla; Guido Junge; Eng Soo Yap

Journal: Blood Advances

Year: 2022

Dr. Micheal Arowolo | Bioinformatics | Best Researcher Award

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Dr. Micheal Arowolo | Bioinformatics | Best Researcher Award

Doctorate at University of Missouri, United States

Professional Profile

Summary:

Dr. Michael Olaolu Arowolo is a distinguished Nigerian computer scientist and academic with a robust background in computer science. Born on September 12, 1988, he holds a Ph.D. from Landmark University, Nigeria, an M.Sc. from Kwara State University, and a B.Sc. from Al-Hikmah University. Currently a research scholar and assistant professor at the University of Missouri, Columbia, his expertise spans machine learning, big data, data mining, bioinformatics, and computer arithmetic. Dr. Arowolo is an active member of several professional organizations, including IEEE and ISCB, and has been recognized among the top 500 authors in Nigeria by Elsevier. His career includes significant teaching and research roles, numerous professional trainings, and contributions to university development and community services.

👩‍🎓Education:

Dr. Michael Olaolu Arowolo has a robust educational background in computer science. He earned his Doctor of Philosophy (Ph.D.) in Computer Science from Landmark University, Omu-Aran, Kwara State, Nigeria, between 2018 and 2021. Prior to this, he completed his Master of Science (M.Sc.) in Computer Science from Kwara State University, Malete, Kwara State, Nigeria, from 2014 to 2017. Dr. Arowolo’s foundational academic journey began with a Bachelor of Science (B.Sc.) (Hons) in Computer Science from Al-Hikmah University, Ilorin, Kwara State, Nigeria, where he graduated with Second Class Honors (Lower Division) between 2008 and 2012. His early education includes the Senior School Certificate Examination (SSCE) from Modelak Science College, Ilorin, Kwara State, Nigeria (1998-2004), and the First School Leaving Certificate (FSLC) from ECWA L.G.E.A Primary School ‘B’, Ilorin, Kwara State, Nigeria (1991-1998).

 

Professional Memberships:

  • IEEE: Member since March 2021 (Membership No. 96234988)
  • APISE: Member since September 2019 (Membership No. M20190918110)
  • ISCB: Member since May 2019
  • Nigerian Bioinformatics and Genomics Network: Member since May 2019 (Membership No. NBGNI380)
  • SDIWC: Member since March 2017
  • EAI: Member since February 2017
  • IAENG: Member since September 2015 (Membership No. 158851)
  • Oracle Database SQL Certified Expert: Oracle University, March 2014
  • Researcher IDs: Scopus (57214819505), ORCID (0000-0002-9418-5346), Web of Science (ABD-4157-2020)

Professional Trainings:

  • Apr 2023: NIH-Biomedical Entrepreneurship Training for Aging (BETA) Program
  • Apr 2020: WHO “Infection Prevention and Control for Novel Coronavirus” Health Emergencies Program
  • Apr 2020: WHO “Introduction to Go. Data-Field Data Collection, Chains of Transmission and Contact Follow-Up” Health Emergencies Program
  • Nov 2013: SQL, Linux, and Oracle Training
  • May 2013: Project Management and Microsoft Project Training
  • Oct 2010: CCNA “Cisco Certified Network Associate” Training

Work Experience:

  • 2022-Present: Research Scholar / Instructor / Assistant Professor, Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, USA.
  • 2021: Lecturer II, Department of Computer Science, Landmark University, Omu-Aran, Kwara State, Nigeria.
  • 2020-2021: Assistant Lecturer, Department of Computer Science, Landmark University, Omu-Aran, Kwara State, Nigeria.
  • 2018-2020: Graduate Lecturer, Institute of Professional Studies, Department of Computer Science, Kwara State University, Malete, Kwara State, Nigeria.
  • 2019: Ad-Hoc Registration Area Technician, Independent National Electoral Commission (INEC), Oke-Ode, Kwara State, Nigeria.
  • 2016-2017: IT Consultant, Dalayak IT Consults, Ilorin, Kwara State, Nigeria.
  • 2013-2015: Computer Analyst, Baylings Enterprises, Ilorin, Kwara State, Nigeria.
  • 2012-2013: Computer Analyst (NYSC), Ogun-Oshun River Basin Development Authority, Abeokuta, Ogun State, Nigeria.

Awards and Recognitions:

  • Recognized among the top 169 of the top 500 authors by Elsevier Scholarly Output in Nigeria over the period of 2019-2023 (SciVal).

Skills:

  • Programming Languages: PHP, Visual Basic, SQL, Java, MATLAB, Linux, Microsoft, Python.

Research Interests and Expertise:

  • Machine Learning
  • Big Data
  • Data Mining
  • Bioinformatics
  • Computer Arithmetic

Teaching Experience (2018-2023):

  • Courses Taught:

    • Theory of Computing (CMP 306)
    • Internet Technology (IDEL 207)
    • Data Communication & Computer Networks (HECE 443)
    • Introduction to File Processing (HCSC 202)
    • Assembly Language Programming (HECE 445)
    • Web Technology (HCSC 208)
    • Systems Modelling and Simulation (HCSC 411)
    • Foundation of Sequential Program (CSC 218)
    • Artificial Intelligence (CSC 415)
    • Computer Appreciation I & II (HGNS 103, HGNS 104)
    • Object Oriented Programming Language (CMP 302)
    • Computer Application (HCSC 201)

Administrative Positions:

  • Academic Level Adviser, Computer Science 400L (2021-2022)
  • Examination Officer, Computer Science (2021-2022)
  • Member, University Ranking Committee, Landmark University (2022)
  • Instructor, H3ABioNet’s Introduction to Bioinformatics course (IBT_2021)

Contributions to University Community Development:

  • Member of Landmark University Sustainable Development Goal 9 (“Industry, Innovation, and Infrastructure”)
  • Member of the Local Organizing Committee, 2nd Nigerian Bioinformatics and Genomics Network (#NBGN21) Conference (2021)
  • Social Director, Al-Hikmah University Alumni Association

Publications Top Noted:

Paper Title: Adsorptive removal of synthetic food dyes using low-cost biochar: Efficiency prediction, kinetics and desorption index evaluation
  • Authors: Bankole, D.T., Inyinbor, A.A., Oluyori, A.P., Arowolo, M.O.
  • Journal: Bioresource Technology Reports
  • Volume: 25
  • Pages: 101709
  • Year: 2024
Paper Title: Mitigating cyber threats in healthcare systems: The role of artificial intelligence and machine learning
  • Authors: Wisdom, D.D., Vincent, O.R., Igulu, K., Christian, A.U., Baba, G.A.
  • Book: Artificial Intelligence and Blockchain Technology in Modern Telehealth Systems
  • Pages: 369–408
  • Year: 2024
Paper Title: Classification of customer churn prediction model for telecommunication industry using analysis of variance
  • Authors: Babatunde, R., Abdulsalam, S.O., Abdulsalam, O.A., Arowolo, M.O.
  • Journal: IAES International Journal of Artificial Intelligence
  • Volume: 12
  • Issue: 3
  • Pages: 1323–1329
  • Year: 2023
Paper Title: Phishing Detection in Blockchain Transaction Networks Using Ensemble Learning
  • Authors: Ogundokun, R.O., Arowolo, M.O., Damaševičius, R., Misra, S.
  • Journal: Telecom
  • Volume: 4
  • Issue: 2
  • Pages: 279–297
  • Year: 2023
Paper Title: Machine learning-based IoT system for COVID-19 epidemics
  • Authors: Arowolo, M.O., Ogundokun, R.O., Misra, S., Agboola, B.D., Gupta, B.
  • Journal: Computing
  • Volume: 105
  • Issue: 4
  • Pages: 831–847
  • Year: 2023