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

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

National Taiwan University Cancer Center, Taiwan

Author Profiles

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🎓 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

Yunting Liu | Sentiment Analysis | Best Researcher Award

Ms. Yunting Liu | Sentiment Analysis | Best Researcher Award

Sun Yat-sen University, China

Author Profile

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🎓 Education Background

Ms. Yunting Liu is currently pursuing her Master of Science in Business at the School of Business, Sun Yat-Sen University, Guangzhou, China, under the academic supervision of Prof. Yirong Huang (09/2022–06/2025). She has maintained an outstanding GPA of 90/100, placing her in the top 5% of her cohort. Notable coursework includes “Data Analysis and Visualization by R” (score: 90) and “Natural Language Processing” (score: 95). She previously earned her Bachelor of Science in Business from the same institution (09/2018–06/2022), guided by Prof. Keming Wang, with a GPA of 88/100 and a ranking in the top 15%. During her undergraduate studies, she excelled in quantitative subjects such as Advanced Mathematics (97, ranked 1st/147), Linear Algebra (98, ranked 12th/147), and Probability Theory (92, ranked 11th/147). She also demonstrated strong programming skills in Java and Machine Learning courses.

🔬 Research Experience

Yunting has contributed to cutting-edge interdisciplinary research in both business intelligence and sustainable finance. Since September 2023, she has been leading the development of “A Multimodal Framework of Sentiment Analysis, Volatility Forecasting, and Investment Strategy,” where she implemented sentiment-driven option arbitrage and index timing strategies, significantly enhancing forecasting accuracy and investment returns. Earlier, from September 2021 to July 2022, she conducted an empirical study titled “Corporate Greenwashing Behavior, Green Credit and Financing Capability”, applying text analysis to measure environmental disclosures and assess the effects of green credit policies on corporate behavior.

🏆 Honors and Awards

Yunting Liu’s academic excellence and research contributions have earned her numerous accolades. She has been a recipient of the First Class Scholarship from Sun Yat-Sen University for three consecutive years (2022, 2023, 2024). Her undergraduate thesis was recognized as an Excellent Graduation Thesis in June 2022. Additionally, she received the Second Class Scholarship for three years in a row (2019, 2020, 2021), highlighting her consistent performance and dedication throughout her academic journey.

Notable Publications📝


📝A multimodal deep learning framework for constructing a market sentiment index from stock news

Author(s): Yunting Liu, Yirong Huang

Journal: Big Data Research

Year: 2025


📝BioMolFormer: A Novel Approach to Molecular Generation with SELFIES and Monte Carlo Tree Search

Author(s): Yuntao Zhang, Lei Liu, Yunting Liu, Fengwei Wang, Leqi Shi

Journal: Proceedings of the ACM Conference

Year: 2024

Ali Haider | Computational Fluid Dynamics | Best Researcher Award

Dr. Ali Haider | Computational Fluid Dynamics | Best Researcher Award

Northwestern Polytechnical University Xi’an, China, China

Author Profiles

Scopus

🎓 Education and Training

Dr. Ali Haider is currently pursuing a Doctor of Philosophy (PhD) at Northwestern Polytechnical University in China from 23/08/2021 to 28/06/2025. His research focuses on the multiphysics behavior of complex fluids, especially heat and mass transfer in non-Newtonian and viscoelastic systems. Dr. Haider has developed an advanced computational framework that integrates both fractional-order and integer-order modeling approaches. By utilizing the Caputo fractional derivative, his work effectively captures memory-dependent effects and hereditary behaviors, providing a more precise and flexible representation of fluid dynamics. To solve these complex models, he employs cutting-edge numerical techniques such as the L1 algorithm, Finite Element Methods (FEM), and Finite Difference Schemes, all implemented in MATLAB. Additionally, he integrates Artificial Neural Networks (ANNs) to enhance computational efficiency and accuracy, especially when modeling highly nonlinear fluid behaviors. His research also includes the effects of magnetic fields, thermal radiation, and buoyancy on fluid dynamics, providing a comprehensive analysis of velocity profiles, temperature distributions, and concentration gradients. The findings have significant implications for optimizing heat and mass transfer in industrial systems, biomedical devices, and environmental technologies.

Dr. Haider previously completed his Master of Philosophy (M.Phil.) in Mathematics at University of Agriculture, Faisalabad, Pakistan, from 01/08/2018 to 01/02/2021, where he earned a final grade of 3.90/4.00. His thesis focused on the analysis of the reflected field in a channel waveguide by exploiting symmetry. He also holds a Master of Science (M.Sc.) in Mathematics from Government College University, Faisalabad (2016-2018), where he achieved a final grade of 3.70/4.00.

💼Work Experience

Dr. Ali Haider served as a Lecturer in the Department of Mathematics at the University of Jhang from 15/09/2020 to 20/12/2022, where he delivered engaging lectures and mentored students. His teaching approach aimed to inspire students to appreciate the beauty of mathematics while fostering critical thinking and problem-solving skills. He collaborated with faculty members to enhance teaching strategies and actively contributed to creating an interactive classroom environment. Dr. Haider’s role extended beyond just instruction, focusing on nurturing students’ intellectual growth and preparing them for real-world challenges.

Before his time at the University of Jhang, Dr. Haider taught as a Lecturer in the Department of Mathematics at Abdul Salam College in Faisalabad from 10/04/2019 to 10/09/2020. His goal was to make mathematics accessible and enjoyable, using real-life applications and interactive methods. Prior to that, he worked at The Summit College in Faisalabad from 01/10/2018 to 02/10/2019, where he focused on simplifying complex mathematical concepts and fostering a problem-solving mindset among students.

🏆Honours and Awards

Dr. Ali Haider has received numerous prestigious awards throughout his academic career. He was the winner of the Presidential Scholarship at Northwestern Polytechnical University for exceptional academic performance. He also earned the Academic Star Award (2023-2024) at NPU, recognizing his academic excellence among international students. During his studies at Government College University, Faisalabad, Dr. Haider was honored with the Provincial-Level Merit Award and was nominated for the Punjab Educational Endowment Fund (PEEF) Scholarship. Furthermore, he was recognized with the National Innovation Honor & Academic Excellence Award, which led to his nomination for the Prime Minister Youth Innovation Program.

Beyond academics, Dr. Haider was recognized for his leadership and organizational skills. He orchestrated the Math’s Carnival at Government College University, creating a memorable experience for students and faculty. He also contributed to the success of various sporting events, including his role as the Volunteer Organizer for the Inter-Provincial Games and the Sports Gala Maestro for the University of Agriculture, Faisalabad.

🔬Research Interests

Dr. Haider’s research spans multiple advanced areas in the field of Computational Fluid Dynamics (CFD). His interests include Advanced Computational Modeling, Fractional Calculus in Engineering, and the study of Non-Newtonian and Multiphase Flow. He is also focused on AI and Data-Driven Simulation techniques and the analysis of Multiphysics and Multiscale Transport Phenomena. His expertise extends to Nonlinear Transport Phenomena in Complex Materials and the study of Acoustic Waves. These interests are deeply rooted in his ongoing research to understand complex fluid systems and improve heat and mass transfer processes.

💡Skills

Dr. Haider possesses a strong skill set in a variety of fields that complement his academic and research work. He is proficient in using Microsoft Office, MATLAB, and LaTeX for documentation and reporting. His analytical capabilities are enhanced by tools such as RSoftware, SPSS, FreeFem, Mathematica, and COMSOL. He is also skilled in problem-solving, teamwork and collaboration, and logical reasoning. His technical versatility allows him to approach problems with a comprehensive, interdisciplinary perspective, making him highly adaptable in research and teaching settings.

Notable Publications📝 


📝 MnFe₂O₄ Thin Film Electrodes via AACVD: A Facile Route for Enhanced Oxygen Evolution Reaction

Authors: A. Zaka, M. Aftab, N. Fatima, W.A. Shah, M.A. Mansoor

Journal: Fuel

Year: 2025


📝 Revolutionizing Electrocatalytic Synergy: Optimized ZrO₂–Co₃O₄ Composites for High-Efficiency Oxygen Evolution Reaction

Authors: A. Mahnoor, F. Marriam, K. Munawar, S.M. Abbas, M.A. Mansoor

Journal: Journal of Applied Electrochemistry

Year: 2025


📝 Numerical Simulations of Heat and Mass Transfer in Sutterby Fluid within Porous Media Using Caputo Fractional Derivative

Authors: A. Haider, M.S. Anwar, Y. Nie, T. Muhammad

Journal: International Communications in Heat and Mass Transfer

Year: 2025


📝 Heteroleptic Zn(II) Complexes; Synthesis, Spectral Characterization, DNA Interaction, Enzyme Inhibition, and Docking Studies

Authors: S. Muzaffar, S. Naz, F. Mazhar, A. Haider, K.S. Munawar

Journal: Journal of Molecular Structure

Year: 2025


📝 Evaluating the Interaction Between the Antineoplastic Drug Bexarotene and Double-Stranded DNA Using Electrochemical, Spectroscopic, and Molecular Docking Studies

Authors: R. Khan, Ç.K. Dindar, A. Karayel, A. Haider, B. Uslu

Journal: Chemistryselect

Year: 2025