Zhenyu Cheryl Qian | Arts and Humanities | Innovative Research Award

Posted on by Phenomenological Research

Innovative Research Award

Zhenyu Cheryl Qian — Purdue University, United States

Zhenyu Cheryl Qian
Affiliation Purdue University
Country United States
Google Scholar Qz_d7ogAAAAJ
Documents 107
Citations 710
h-index 13
Subject Area Arts and Humanities
Event International Phenomenological Research Awards
Scopus 36835434300

Zhenyu Cheryl Qian is a full professor of Interaction Design and Industrial Design at Purdue University, United States. Her interdisciplinary research addresses interaction design, user experience, cognitive science, information visualization, visual analytics, and design-oriented technological innovation. Her academic work combines design theory, interactive technologies, and analytical methods across physical and digital environments. Qian received a Ph.D. in Interaction Design from Simon Fraser University in 2009, following an M.Sc. in Interactive Arts and Technology from the same institution and a B.F.A. in Architecture from Southeast University, China. Her professional appointments at Purdue University include Assistant Professor, Associate Professor, Full Professor, Department Chair, and Interim School Head. Her academic profile is further characterized by graduate supervision, program development, professional service, and participation in international design and visualization communities.[1]

Abstract

Zhenyu Cheryl Qian is an academic researcher and design educator whose work connects interaction design, industrial design, visual analytics, information visualization, user experience, and cognitive approaches to design. At Purdue University, she has held progressively senior academic and administrative positions and has contributed to the development of graduate education in Interaction Design. Her research includes systems for visual analytics, interaction models, design evaluation, visualization, and technology-supported user experiences. Her scholarly record includes more than 100 documents and a Google Scholar profile reporting 710 citations and an h-index of 13. Her work has also received recognition through international design and visualization competitions, academic awards, and professional service.

Keywords

Interaction design; Industrial design; User experience; Information visualization; Visual analytics; Cognitive science; Human-computer interaction; Design research; Data visualization; Interactive systems; Design education; Arts and Humanities.

Introduction

Zhenyu Cheryl Qian’s academic career integrates design research, technology, teaching, and institutional leadership. She earned her PhD in Interaction Design from Simon Fraser University in 2009. At Purdue University, she progressed from Assistant Professor to Full Professor, serving as Department Chair and Interim School Head while contributing to curriculum development, graduate education, committee service, and design program leadership.[1]

Research Profile

Zhenyu Cheryl Qian’s research focuses on interaction design, user experience, visual analytics, information visualization, and technology-supported learning. Her interdisciplinary work combines design theories, cognitive perspectives, innovative technologies, and analytical methods to examine interactions between people, information, products, and digital systems. Her publications address visual analytics, mobile interaction, visualization systems, and methods for supporting complex information analysis and user-centered design. [2]

Research Contributions

Zhenyu Cheryl Qian’s research spans interaction design, human-computer interaction, information visualization, visual analytics, user experience, cognitive design, and design education. Her work integrates interactive technologies with analytical and design methods, while her academic activities include graduate research and interdisciplinary collaboration. Her publications also examine user experience research through bibliometric and visualized analytical approaches. [3] Zhenyu Cheryl Qian has also contributed to visual analytics systems designed for evaluating employee performance in public safety agencies. The resulting system, MetricsVis, demonstrates the application of visual analytics to organizational and public-sector information environments. [4]

Publications

Zhenyu Cheryl Qian’s publications reflect an interdisciplinary research portfolio spanning visual analytics, information visualization, user experience design, interaction design, and technology-supported learning. Her scholarly work includes studies on analytical processes, user experience research trends, visual analytics systems for organizational applications, and touchscreen interaction for educational contexts. These publications demonstrate the application of design and visualization methodologies to complex information environments, while connecting theoretical perspectives with practical systems and user-centered approaches across diverse research and application domains.[2][3][4][5]

Research Impact

The available scholarly profile reports 107 documents, 710 citations, and an h-index of 13 on Google Scholar. [1] Zhenyu Cheryl Qian’s research profile demonstrates scholarly visibility through publications, citations, international visualization and design competitions, and interdisciplinary collaboration. Her projects have received awards and honorable mentions through IEEE VAST Challenges and related competitions. She has also contributed through journal and conference reviewing, editorial activities, academic committees, tenure and promotion reviews, graduate supervision, curriculum development, and professional organizations.

Award Suitability

Zhenyu Cheryl Qian’s academic record demonstrates interdisciplinary research across interaction design, visual analytics, user experience, and design education. Her publications, international competition recognition, and development of interactive visualization projects reflect sustained research activity. Her contributions to graduate supervision, academic leadership, curriculum development, and professional service further complement her scholarly profile, providing a documented basis for consideration for an Innovative Research Award.

Conclusion

Zhenyu Cheryl Qian’s academic profile reflects an interdisciplinary approach to interaction design, industrial design, visual analytics, information visualization, and user experience. Her career at Purdue University combines research, teaching, graduate supervision, program development, institutional leadership, and professional service. Her documented publications, citation record, international project recognition, and contributions to design education collectively provide a substantial scholarly basis for consideration in the context of the International Phenomenological Research Awards.

References

  1. Google Scholar. (n.d.). Zhenyu Cheryl Qian, Google Scholar profile. https://scholar.google.com/citations?user=Qz_d7ogAAAAJ&hl=en&oi=sra
  2. Kadivar, N., Chen, V., Dunsmuir, D., Lee, E., Qian, C., Dill, J., Shaw, C., & others. (2009). Capturing and supporting the analysis process. 2009 IEEE Symposium on Visual Analytics Science and Technology, 131–138. https://doi.org/10.1109/VAST.2009.5333020
  3. Li, R., Zhang, H., Liu, C., Qian, Z. C., & Zhang, L. (2022). Bibliometric and visualized analysis of user experience design research: From 1999 to 2019. SAGE Open, 12(1), 21582440221087266. https://doi.org/10.1177/21582440221087266
  4. Zhao, J., Karimzadeh, M., Snyder, L. S., Surakitbanharn, C., Qian, Z. C., & Ebert, D. S. (2019). MetricsVis: A visual analytics system for evaluating employee performance in public safety agencies. IEEE Transactions on Visualization and Computer Graphics, 26(1), 1193–1203. https://doi.org/10.1109/TVCG.2019.2934603
  5. Rasche, N., & Qian, C. Z. (2012). Work in progress: Application design on touch screen mobile computers (TSMC) to improve autism instruction. 2012 Frontiers in Education Conference Proceedings, 450–451. https://doi.org/10.1109/FIE.2012.6462516

Huiqing Dai | Mathematics | Research Excellence Award

Posted on by Phenomenological Research

Ms. Huiqing Dai | Mathematics | Research Excellence Award 

Master at University of Chinese Academy of Sciences | China

Ms. Huiqing Dai is a researcher specializing in mathematical modeling, quantitative analysis, and systems optimization, with strong interdisciplinary expertise bridging mathematics, engineering management, and data-driven decision science. She holds advanced academic training in engineering management and has developed a solid foundation in higher mathematics, computer algebra, machine learning, and complex system modeling. Her research experience includes leading studies on spatio-temporal modeling, optimization methods, and analytical frameworks applied to sustainability, digital economy analysis, transportation systems, and project management. Ms. Huiqing Dai’s scholarly output reflects methodological rigor and applied relevance, with 3 peer-reviewed documents that have achieved 135 citations across 134 citing documents and an h-index of 3, demonstrating measurable academic impact. Her research interests focus on mathematical modeling of complex systems, optimization theory, data analytics, and interdisciplinary applications of mathematics to real-world problems. Through innovative analytical approaches and consistent research performance, Ms. Huiqing Dai continues to show strong potential for long-term contributions to mathematical and applied research.

Citation Metrics (Scopus)

150

100

50

0

Citations
135

Documents
3

h-index
3

Featured Publications

laiba Sultan Dar | Time series analysis | Best Researcher Award

Posted on by Phenomenological Research

Ms. laiba Sultan Dar | Time series analysis | Best Researcher Award 

Phd Student at Abdul wali khan university | Pakistan

Ms. Laiba Sultan Dar is a dedicated researcher and Ph.D. scholar at Abdul Wali Khan University, specializing in time series analysis and decomposition techniques. Her academic journey is marked by a strong foundation in applied mathematics and data analytics, enabling her to contribute effectively to statistical modeling, forecasting, and computational research. She has developed expertise in identifying patterns and trends within large datasets, applying modern analytical frameworks to address complex problems in areas such as economics, climate studies, and system optimization. Her research integrates both theoretical and empirical approaches, focusing on improving the precision and interpretability of time-dependent models. Through her doctoral studies, she has actively engaged in institutional research projects and contributed to scholarly publications in recognized international journals, including those indexed by Scopus and ScienceDirect. Her work demonstrates a balance between mathematical rigor and practical application, particularly in designing adaptive models for real-world data forecasting. In addition to her academic pursuits, Ms. Laiba Sultan Dar has shown growing involvement in research collaborations and interdisciplinary studies that bridge statistical science and technological innovation. Her ability to combine methodological sophistication with computational efficiency has made her research relevant to emerging domains such as artificial intelligence-driven data analysis and predictive modeling. She continuously enhances her research capabilities by incorporating advanced tools and techniques, fostering a deeper understanding of time series dynamics. With a citation index reflecting the recognition of her early scholarly efforts, she remains committed to producing impactful research that advances statistical methodologies and contributes to data-driven decision-making. Her intellectual curiosity and analytical acumen position her as a promising researcher in quantitative sciences. Ms. Laiba Sultan Dar’s long-term goal is to strengthen the integration of mathematical modeling with applied sciences, promoting innovation and scientific development in her field. Her commitment to excellence, collaborative mindset, and ongoing pursuit of research excellence make her a deserving candidate for recognition among emerging scholars in data analytics and statistical research.

Profile: Google Scholar

Featured Publications:

  • Dar, L., Akmal, A., Naseem, M. A., & Khan, K. U. D. (2011). Impact of stress on employees’ job performance in the business sector of Pakistan. Global Journal of Management and Business Research, 11(6), 1–4.

  • Dar, L. A., Naseem, M. A., Rehman, R. U., & Niazi, G. S. (2011). Corporate governance and firm performance: A case study of Pakistan oil and gas companies listed in Karachi Stock Exchange. Global Journal of Management and Business Research, 11(8), 1–10.

  • Malik, M., Wan, D., Dar, L., Akbar, A., & Naseem, M. A. (2014). The role of work-life balance in job satisfaction and job benefit. Journal of Applied Business Research (JABR), 30(5), 1627–1638.

  • Dar, L. S., Aamir, M., Khan, Z., Bilal, M., Boonsatit, N., & Jirawattanapanit, A. (2022). Forecasting crude oil price volatility by reconstructing EEMD components using ARIMA and FFNN models. Frontiers in Energy Research, 10, 991602.

  • Dar, L. S., Aamir, M., Bibi, S., & Bilal, M. (2025). A novel robust adaptive decomposition approach for solar energy potential using atmospheric transparency and UV radiation indicators. Journal of Radiation Research and Applied Sciences, 18(4), 101946.

  • Dar, L. S., Aamir, M., Hamraz, M., Faiz, N., Emam, W., & Tashkandy, Y. (2025). A robust adaptive signal decomposition method for enhanced mode extraction in financial time series. IEEE Access.

  • Saleem, Q., Dar, L., Shahid, M., & Rana, S. (2012). A quantitative analysis of the role of human resource development in economic growth in Pakistan. International Journal of Management Sciences and Business Research.

  • Bilal, M., Aamir, M., Abdullah, S., Mahmood, N., Khalil, U., Khalid, N., Ahmed, M., & Dar, L. (2022). Assessment of the COVID-19 pandemic’s impact on gasoline prices in Pakistan. VFAST Transactions on Mathematics, 10(2), 52–67.