Dr.Yang Liu | Innovation| Best Researcher Award

Dr , Yang Liu, Xi’an Jiaotong University,China .

Dr. Yang Liu is a prominent scholar at Xi’an Jiaotong University in China. With a focus on advanced research in [specific field or discipline], Dr. Liu has made significant contributions to [mention any specific areas or projects]. Dr. Liu’s work is widely recognized in both national and international circles, demonstrating a strong commitment to academic excellence and innovation. Dr. Liu is actively engaged in various research collaborations, contributing to the advancement

Summary:

Liu’s research focuses on Human-Computer/AI Interaction, Virtual and Augmented Reality (VR/AR), AI Governance, and the societal impacts of information systems. Liu has secured significant research funding, including a National Natural Science Foundation of China grant and a Hong Kong Research Grants Council grant, for projects exploring virtual reality interaction design and mobile touch experience design.

Professional Profiles:

Scopus

Education :

Yang Liu earned his Ph.D. in Information Systems & Analytics from the National University of Singapore in 2018. Prior to that, he completed his M.Sc. in Information Resources Management at Renmin University of China in 2013, and his B.Mgt. in Information Systems at Renmin University of China in 2011. His strong academic background laid the foundation for his research and teaching in Information Systems, Human-Computer Interaction, and AI governance.

Work Experience:

Yang Liu is currently serving as an Associate Professor in the Department of Information Systems and Intelligent Business at the School of Management, Xi’an Jiaotong University, a position he has held since July 2023. Before that, he worked as an Assistant Professor in the same department from October 2020 to June 2023. His academic journey also includes a Research Fellowship at the National University of Singapore, where he contributed to both the School of Computing and the School of Business from March 2018 to September 2020.

Skills:

Dr. Liu is proficient in a variety of statistical software, including SPSS, STATA, Tobii Studio, AMOS, and SmartPLS. His programming skills span Python, R, SQL, HTML/CSS, and JavaScript. Additionally, he is adept at utilizing survey platforms such as Prolific, Amazon Mechanical Turk, Qualtrics, and Credamo. Fluent in Mandarin (native) and English (proficient), Dr. Liu is well-equipped to engage in both local and international research collaborations.

Research Focus:

Dr. Liu’s research interests lie at the intersection of Human-Computer/AI Interaction, Virtual and Augmented Reality (VR/AR), and the societal impacts of information systems. He is particularly interested in AI governance, the digital economy, and experimental methods that examine how technology interfaces influence behavior. His recent work has explored Blockchain-Driven Decentralized Identity Management and the effects of mobile touch modes on user self-regulation, pushing the boundaries of our understanding of digital engagement.

Awards and Recognitions:

Yang Liu has received multiple prestigious research grants, including being the Principal Investigator for the National Natural Science Foundation of China (2023-2025), with a project focused on Virtual Reality Embodied Interaction Design and its impact on consumer online and offline purchase behavior. He also co-led a Hong Kong Research Grants Council project (2021-2024), investigating healthy behavior through mobile touch experience design. His research excellence is further recognized through his numerous editorial roles and service as Track Chair for international conferences.

Conclusion:

Yang Liu’s comprehensive educational background, significant research contributions, and active involvement in academic service make them a standout candidate for the Research for Best Researcher Award. Their innovative work in human-computer interaction, coupled with successful research grants and editorial responsibilities, underscores their impact on the field and their potential for continued contributions to the research community.

Publications :

Schisandrin Inhibits VSMCs Proliferation and Migration
- Authors: Huang, Q., Liu, X., Yu, J., Niu, X., Li, W.
- Journal: Tissue and Cell
- Year: 2024
- Abstract: This study explores how Schisandrin affects vascular smooth muscle cell (VSMC) proliferation and migration by arresting the cell cycle and targeting JAK2 to regulate the JAK2/STAT3 signaling pathway.

Novel Disulfidptosis-Derived Gene Blueprint Stratifying Patients with Breast Cancer
- Authors: Tang, X., Ping, B., Liu, Y., Zhou, Y.
- Journal: Environmental Toxicology
- Year: 2024
- Abstract: This research introduces a gene blueprint derived from disulfidptosis to stratify breast cancer patients, potentially improving personalized treatment strategies.

Distinctive Cortical Morphological Patterns in Primary Trigeminal Neuralgia
- Authors: Xu, H., Liu, Y., Zeng, W.-T., Fan, Y.-X., Wang, Y.
- Journal: Neuroradiology
- Year: 2024
- Abstract: This cross-sectional study examines cortical morphological patterns in patients with primary trigeminal neuralgia, aiming to enhance diagnostic accuracy and treatment approaches.

The Inhibitory Impact of Schisandrin on Inflammation and Oxidative Stress Alleviates LPS-Induced Acute Kidney Injury
- Authors: Liu, X., Huang, Q., Li, W., Niu, X., Li, W.
- Journal: Biotechnology and Applied Biochemistry
- Year: 2024
- Abstract: This article investigates how Schisandrin reduces inflammation and oxidative stress to mitigate acute kidney injury induced by lipopolysaccharides (LPS).

The Prognostic Significance of Further Axillary Dissection for Sentinel Lymph Node Micrometastases in Female Breast Cancer
- Authors: Zhou, Y., Pu, S., Jiang, S., Ren, Y., Hao, N.
- Journal: Frontiers in Oncology
- Year: 2022
- Abstract: This study assesses the prognostic value of further axillary dissection for sentinel lymph node micrometastases in female breast cancer using data from the SEER database.

Identification of Necroptosis-Related Subtypes and Prognosis Model in Triple Negative Breast Cancer
- Authors: Pu, S., Zhou, Y., Xie, P., He, J., Hao, N.
- Journal: Frontiers in Immunology
- Year: 2022
- Article ID: 964118
- Abstract: This paper identifies necroptosis-related subtypes in triple-negative breast cancer and proposes a prognosis model based on these subtypes.

MicroRNA-4487 Regulates Vascular Smooth Muscle Cell Proliferation, Migration, and Apoptosis by Targeting RAS p21 Protein Activator 1
- Authors: Liang, X., Hu, M., Yuan, W., Bai, C., Yuan, Z.
- Journal: Pathology Research and Practice
- Year: 2022
- Article ID: 153903
- Abstract: This study reveals how MicroRNA-4487 modulates vascular smooth muscle cell behaviors through the targeting of RAS p21 protein activator 1.

Mining the Prognostic Significance and Immune Infiltration of STAT Family Members in Human Breast Cancer by Bioinformatics Analysis
- Authors: Zhou, Y., Jiang, S., Yu, S., Hao, N., Ren, Y.
- Journal: Gland Surgery
- Year: 2022
- Abstract: This bioinformatics study explores the prognostic significance and immune infiltration of STAT family members in breast cancer.

Ultrasound Targeted Microbubble Destruction-Mediated SOCS3 Attenuates Biological Characteristics and Epithelial-Mesenchymal Transition (EMT) of Breast Cancer Stem Cells
- Authors: Tang, X., Hao, N., Zhou, Y., Liu, Y.
- Journal: Bioengineered
- Year: 2022
- Abstract: This article investigates how ultrasound targeted microbubble destruction affects SOCS3 to alter breast cancer stem cell characteristics and EMT.

Bacteriophage Twort Protein Gp168 is a β-Clamp Inhibitor by Occupying the DNA Sliding Channel
- Authors: Liu, B., Li, S., Liu, Y., Wang, Y., Zhang, K.
- Journal: Nucleic Acids Research
- Year: 2021
- Abstract: This study details how the Twort bacteriophage protein Gp168 functions as a β-clamp inhibitor by binding to the DNA sliding channel.

Yang Liu | Innovation| Best Researcher Award