Xiaotao Ren | Mathematics | Best Researcher Award

Mr. Xiaotao Ren | Mathematics | Best Researcher Award 

Lecturer, at Shanxi Vocational University of Engineering Science and Technology, China.

Ren Xiaotao is a dedicated researcher and lecturer specializing in systems control and nonlinear systems identification. He is currently serving as a Lecturer at the School of Equipment Engineering, Shanxi Vocational University of Engineering Science and Technology, since 2024. Ren has developed significant expertise in the recursive identification of nonlinear systems, adaptive regulation, and event-triggered observations. His academic journey includes a Ph.D. from the University of Chinese Academy of Sciences, where he worked at the Key Laboratory of Systems and Control. Ren is passionate about advancing systems science through innovative approaches to control theory, and his work contributes to both theoretical and practical advancements in the field of systems and control. 🌟📚

Professional Profile

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ORCID

Education

Ren Xiaotao’s educational background is rooted in systems and control theory. He completed his Ph.D. at the University of Chinese Academy of Sciences (2018-2024) in the Key Laboratory of Systems and Control. His M.Sc. (2016-2018) also focused on systems and control within the same laboratory, where he began his research in nonlinear system identification. Ren’s academic journey began with a B.Sc. from North China Electric Power University (2012-2016), where he gained foundational knowledge in electrical engineering. His robust education prepared him for an academic career, and his doctoral research has led to substantial contributions to the field of systems science and control. 🎓🔬

Experience

Ren Xiaotao’s professional experience includes both academic and research positions. He is currently a Lecturer at the School of Equipment Engineering at Shanxi Vocational University of Engineering Science and Technology, a position he has held since 2024. Prior to this, Ren’s work as a Ph.D. student at the University of Chinese Academy of Sciences allowed him to contribute significantly to various research projects on nonlinear systems identification and adaptive regulation. He has worked on cutting-edge topics involving event-triggered observations, providing him with expertise in the intersection of control systems and data-driven methods. Ren’s experiences in both teaching and research have equipped him with a strong foundation in systems science. 🧑‍🏫🖥️

Research Interests

Ren Xiaotao’s research interests are primarily focused on systems control, nonlinear systems identification, and adaptive regulation. He is particularly interested in recursive identification of nonlinear nonparametric systems under event-triggered observations, exploring new methods for improving the efficiency and accuracy of system identification. Additionally, his work addresses adaptive regulation techniques for Hammerstein and Wiener systems, as well as the development of novel variable selection approaches for nonlinear systems. Ren aims to push the boundaries of control theory through his research, contributing to both academic knowledge and practical applications in industrial systems and automation. 📡🔧

Awards

Ren Xiaotao has received recognition for his contributions to the field of systems science. Notably, his work on adaptive regulation and system identification has garnered attention at international conferences such as the IEEE Conference on Decision and Control. His innovative approaches have positioned him as a promising young researcher in the field, and he is expected to continue receiving accolades for his work. Ren’s research has been consistently cited, further solidifying his impact on the field of nonlinear systems and control theory. 🏆🌍

Top Noted Publications

Ren Xiaotao has authored several influential publications in reputable journals and conferences. His work spans a range of topics in systems control, nonlinear system identification, and adaptive regulation. Notable publications include:

  • Ren, Xiaotao, Zhao, Wenxiao, Zhang, Han:
    Title: Recursive identification of nonlinear nonparametric systems under event-triggered observations
    Journal: Systems & Control Letters
    Year: 2025
    Volume: 196
    Article Number: 106013
    Link: (Not provided)

  • Ren, Xiaotao, Zhao, Wenxiao, Gao, Jinwu:
    Title: Adaptive Regulation for Hammerstein and Wiener Systems with Event-Triggered Observations
    Journal: Journal of Systems Science & Complexity
    Year: 2023
    Volume: 36, Issue 5
    Pages: 1878-1904
    Link: (Not provided)

  • Ren, Xiaotao, Zhao, Wenxiao, Gao, Jinwu:
    Title: New Approach to Variable Selection for Nonparametric Nonlinear Systems
    Conference: 62nd IEEE Conference on Decision and Control
    Location: Marina Bay Sands, Singapore
    Month/Year: December 2023
    Link: (Not provided)

Conclusion

Ren, Xiaotao is a highly qualified candidate for the Best Researcher Award, based on his strong educational foundation, innovative research contributions, and engagement with the academic community. His research in systems control, particularly in nonlinear systems and event-triggered observations, is highly relevant to current advancements in control theory and its applications. While there is room for improvement in expanding his research collaborations and exploring a wider array of topics, his current achievements make him a deserving candidate for this prestigious award.

Jamaal Young | Mathematics | Best Researcher Award

Assoc. Prof. Dr. Jamaal Young | Mathematics | Best Researcher Award

Associate Professor, at Texas A&M University, United States.

Dr. Jamaal R. Young is an esteemed educator and researcher specializing in Mathematics and STEM Education. With a Ph.D. from Texas A&M University, his work focuses on curriculum development, STEM education for diverse learners, and research synthesis methodologies. Over the years, Dr. Young has held academic positions at Texas A&M University, the University of Iowa, and the University of North Texas. He has an extensive publication record, including books, peer-reviewed journal articles, and book chapters. His contributions to mathematics education, equity, and STEM research have significantly impacted the academic community. Dr. Young is also recognized for his leadership in advancing culturally responsive teaching practices.

Professional Profile

Scopus

ORCID

Google Scholar

Education 🎓

Dr. Young earned his Ph.D. in Education & Human Development from Texas A&M University in 2011, with a focus on Mathematics Education. His dissertation explored the integration of interactive whiteboards and professional development to enhance teachers’ Technological Pedagogical Content Knowledge (TPACK). Prior to his doctoral studies, he completed an M.Ed. in Curriculum & Instruction (Mathematics Education) in 2008 and a B.S. in Biomedical Engineering in 2004 from Texas A&M University. His academic journey reflects a strong interdisciplinary foundation, merging engineering, education, and research methodologies to enhance mathematics instruction.

Professional Experience 🌟

Dr. Young has held various academic positions throughout his career. He is currently an Associate Professor at Texas A&M University. He previously served as an Associate Professor at the University of Iowa (2018-2020) and the University of North Texas (2017-2018). From 2011 to 2017, he was an Assistant Professor at the University of North Texas. Additionally, he has worked as a Visiting Scholar, STEM Associate, and Consultant, contributing to curriculum development and mathematics education initiatives. His experience spans secondary and postsecondary education, emphasizing innovative teaching strategies and educational equity.

Research Interests 📝

Dr. Young’s research interests include Mathematics Education, STEM Education for Diverse Learners, and Research Synthesis methodologies such as Meta-Analysis and Content Analysis. His work explores culturally responsive teaching practices, equity in mathematics achievement, and the role of technology in education. He has conducted extensive research on Black students’ academic experiences, the impact of STEM interventions, and meta-analytic approaches to understanding educational disparities. His scholarship aims to inform evidence-based instructional strategies and policy decisions in mathematics education.

Awards & Honors 🏆

Dr. Young has received multiple awards and recognitions for his contributions to education and research. These include prestigious research grants, faculty excellence awards, and recognition for his impact on STEM education. He has been honored for his work in advancing equity in mathematics education and for his influential research on culturally responsive teaching. His commitment to fostering inclusive learning environments has earned him national and international recognition.

Top Noted Publications 📖

Dr. Young has authored numerous scholarly works, including books, peer-reviewed journal articles, and book chapters. Notable publications include:

  • Young, J. R., & Young, J. (2023). “Before we let go!: Operationalizing culturally informed education.” Multicultural Perspectives, 25(2), 96-111. DOI
  • Xiao, Y., Li, Y., Young, J. R., & Wang, K. (2023). “Effects of the iPad use on K-12 students’ STEM achievement: A meta-analysis.” International Journal of Mobile Learning and Organisation, 17(4), 537-556. DOI
  • Harmon Jr, W. C., James, M., Young, J., & Scott, L. (2023). “Black fathers rising: A quantcrit analysis of Black fathers’ paternal influence on sons’ engagement and sense of school belonging in high school.” Equity & Excellence in Education, 56(3), 464-478. DOI
  • Young, J., Young, J., Williams, J., et al. (2023). “Talking back: An analysis of the scope and impact of critical race theory and its usage in educational research.” SAGE Open, 13(3).
  • Barroso, L., Young, J. R., Capraro, M. M., & Capraro, R. M. (Accepted). “Precollege Mathematics and Engineering Learning Outcomes: Implications for Equitable Preparation, Recruitment, and Retention.” International Journal of Engineering Education.
  • Young, J. L., Young, J. R., King, N., et al. (2022). “A Single-Group Summary of Black Boys’ Science Achievement on the NAEP.” The Negro Educational Review.
  • Edosomwan, K., Young, J. L., Butler, B. R., et al. (2023). “Tracking the effects: Examining the opportunity stratification hypothesis in action.” Journal of Education. DOI
  • Hurlbut, A. R., Young, J., Boggs, C., & Young, J. (2023). “Response to intervention in reading: A literature review and critical synthesis.” International Journal of Literacy, Culture, and Language Education, 4, 64-81. DOI
  • Tholen, A., Edosomwan, K., Hong, D., Fulmer, G. W., & Young, J. (2022). “Increasing Access to Advanced Mathematics through Self-Selection: A Multinomial Logistic Regression Analysis.” The High School Journal, 105(2), 145-169. DOI
  • Young, J. R., & Young, J. L. (2022). “Equity trends in mathematics education: A content analysis of meta-analytic research.” International Journal on Studies in Education, 4(1), 24-42. DOI

Conclusion

Dr. Jamaal R. Young is a strong candidate for the Best Researcher Award, given his prolific publication record, expertise in STEM education, and contributions to research synthesis and equity in education. Strengthening his funding portfolio, global collaborations, and policy impact would further elevate his competitiveness for prestigious research accolades.