Xin Liu | Strategic Leadership | Research Excellence Award

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Prof. Xin Liu | Strategic Leadership | Research Excellence Award

The First Affiliated Hospital of Harbin Medical University. Harbin Medical University, School of Stomatology | China

Xin Liu is a Chief Physician and Associate Professor specializing in stomatological prosthodontics. He earned bachelor’s, master’s, and doctoral degrees in stomatology from Harbin Medical University, followed by postdoctoral training in Chinese medicine. With over 16 years of clinical experience, his work focuses on oral implantology, biomaterials, and the integration of artificial intelligence and 3D printing in precision dentistry. He has led multiple funded research projects, published in international journals, and contributed to academic textbooks. His pioneering robot-assisted implant procedure in Northeast China earned provincial recognition, highlighting his contributions to advancing digital stomatology and interdisciplinary dental innovation.

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Assist. Prof. Dr. Anusuyah Subbarao | Digital Transformation | Research Excellence Award

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Assist. Prof. Dr. Anusuyah Subbarao | Digital Transformation | Research Excellence Award

Multimedia University | Malaysia

Ts. Dr. Anusuyah Subbarao is an accomplished Assistant Professor with more than two decades of academic experience in Software Engineering, Computer Science, and Information Technology. She holds a PhD from Universiti Teknologi Malaysia, a Master of Science in Computer Science majoring in Software Engineering, and a Bachelor’s degree in Computer Science from Universiti Putra Malaysia. Her research interests span digital transformation, healthcare informatics, enterprise resource planning, cloud computing risks, global software development, qualitative methodologies, and digital literacy. Throughout her career, she has contributed extensively to research through journal articles, book chapters, and conference proceedings, earning numerous national and international awards for teaching, innovation, and research excellence. She has successfully secured internal and external research grants and served as a reviewer for high-impact journals. Her innovation projects have received multiple gold, silver, and bronze medals at prestigious exhibitions such as InventX and RICES. With strong expertise in digital health, social innovation, ERP adoption, and technology acceptance, she actively supports technological advancement and community empowerment through impactful research. Recognized for her dynamic communication skills and commitment to transformative education, she continues to inspire learners and professionals while advancing cutting-edge research in digital technologies.

Profiles:  ORCID

Featured Publications

Rahman, H. M. M., Islam, J., Malarvizhi, C. A. N., Khan, N., Subhan, K. M. A., & Subbarao, A. (2026). Women empowerment in war and nation building on the basis of Tahmima Anam’s trilogy. Salud, Ciencia y Tecnología.

Murugasu, U. S. G., & Subbarao, A. (2025). Empirical method for developing a hyper-personalization artifact. Engineering Applications of Artificial Intelligence.

Subbarao, A., Siddika, A., Fathullah, M. A., & Sanwani, M. A. B. (2025). The role of mobile applications in shaping digital transformation in higher education among Generation I: A bibliographic study. Information.

Tang, Y., Subbarao, A., & Aw, A. T. H. (2025). A critical review of Theory of Planned Behavior in knowledge payment. International Journal of Management, Finance and Accounting.

Subbarao, A., Khan, N., Siddika, A., Fathullah, M. A., Sanwani, M. A., Adam, F. F., Ferezagia, D. V., & Altamira, M. B. (2025). Digital transformation in higher education: Enhancing support services through mobile apps. HighTech and Innovation Journal.

Lee, A. T., Ramasamy, R. K., & Subbarao, A. (2025). Barriers to and facilitators of technology adoption in emergency departments: A comprehensive review. International Journal of Environmental Research and Public Health.

Abd Sukor, N. I., & Subbarao, A. (2025). Unveiling the pathways: Exploring influential factors shaping intentions to engage with ChatGPT. International Journal of Management, Finance and Accounting.

Lee, A. T., Ramasamy, R. K., & Subbarao, A. (2025). Barriers and facilitators of technology adoption in emergency departments: A comprehensive review [Preprint]. Preprints.

Lee, A. T., Ramasamy, R. K., & Subbarao, A. (2025). Understanding psychosocial barriers to healthcare technology adoption: A review of TAM technology acceptance model and unified theory of acceptance and use of technology (UTAUT) frameworks. Healthcare.

Lee, A. T., Ramasamy, R. K., & Subbarao, A. (2025). Understanding psychosocial barriers to healthcare technology adoption: A review of TAM and UTAUT frameworks [Preprint]. Preprints.

Khairuddin, I. K., & Subbarao, A. (2024). Examining the offline shopping preferences of millennial women: A comprehensive review. International Journal of Management, Finance and Accounting.

Aizan Zafar-AI in HealthCare-Best Scholar Award

Published on by Leadership and Management

Professional Profile 

Early Academic Pursuits:

Aizan Zafar embarked on his academic journey with a Bachelor's degree in Information Technology from Guru Ghasidas Central University, Chhattisgarh, graduating with distinction and a commendable CGPA of 8.71 in 2016. This early academic success laid the foundation for his subsequent pursuits in the field of computer science.

He continued his educational journey by pursuing a Master's degree in Information Technology at the University of Hyderabad, Telangana. During this period (2017-2019), Aizan engaged in research on machine learning, focusing on an efficient approach for effective clustering using validity index. His dedication and scholarly pursuits earned him a CGPA of 8.1 in the first division with distinction.

Professional Endeavors:

Following his Master's degree, Aizan Zafar transitioned into a Ph.D. program at the prestigious Indian Institute of Technology Patna, commencing in July 2019. As a Ph.D. scholar, he delved into the realm of Natural Language Processing, particularly concentrating on Medical Question Answering and Dialogue Systems.

In the course of his doctoral journey, Aizan showcased exceptional research prowess by contributing to various projects and initiatives. His experience as a Teaching Assistant for courses such as Artificial Intelligence, Natural Language Processing, and Computer Network reflects his commitment to academic responsibilities.

Contributions and Research Focus:

Aizan's research endeavors have been prolific, spanning diverse areas within Natural Language Processing and Conversational AI. His notable contributions include the development of "Sevak," an intelligent Indian language chatbot, and "PERCURO," a holistic solution for clinical text employing conversational data for Question Answering systems.

Aizan's research has culminated in several published and accepted papers, demonstrating his expertise in knowledge-infused abstractive question answering systems, medical dialogue generation, and knowledge graph-assisted medical dialog generation. He has also showcased his commitment to advancing the field through organizing workshops and courses on Deep Learning for NLP.

Accolades and Recognition:

Aizan Zafar's academic prowess is underscored by his qualification in AIEEE (2012), GATE in 2017 (for M.Tech.), and GATE in 2019 (for Ph.D.). These achievements underscore his consistent dedication to academic excellence.

Impact and Influence:

Aizan's influence extends beyond his individual achievements. His organizational roles in workshops and courses, such as the GIAN Workshop on Deep Learning Techniques for Conversational AI and the CEP course on Deep Learning for NLP, highlight his commitment to knowledge dissemination and community building.

Legacy and Future Contributions:

As an emerging scholar in the field of Natural Language Processing and Conversational AI, Aizan Zafar's legacy is shaped by his significant contributions to medical question answering systems. With ongoing works focusing on enhancing abstractive question answering through first-order logic, Aizan is poised to leave a lasting impact on the intersection of AI and healthcare.

Looking forward, Aizan's dedication to learning, collaborative spirit, and leadership qualities position him as a future leader in the field, with the potential to shape the trajectory of Conversational AI and Natural Language Processing. His multifaceted approach, from research to teaching and organizational roles, signifies a holistic commitment to the advancement of knowledge in the realm of computer science and AI.

Notable Publications

 

Citation

A total of 14 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations     14           14
  • h-index       3              3
  • i10-index    0             0