Khushdil Ahmad | Pure Mathematics | Excellence in Research

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Dr. Khushdil Ahmad | Pure Mathematics | Excellence in Research

Khushdil Ahmad | Government College University | Pakistan

Dr. Khushdil Ahmad is a Visiting Faculty Member in the Department of Mathematics at Government College University, Lahore, specializing in Fixed Point Theory, Nonlinear Analysis, and Algebraic Combinatorics. He earned his Ph.D. in Mathematics from Government College University, Lahore, where his research explored posets at the intersection of combinatorics and category theory under the supervision of Prof. Dr. Khurram Shabbir and Dr. Eric Rubiel Dolores-Cuenca. He also holds an M.Phil. in Mathematics from the same institution, where he investigated the approximation of fixed points of multivalued nonexpansive mappings in ordered CAT(0) spaces, and a BS in Mathematics from Government Post Graduate Jahanzeb College, Swat. Dr. Ahmad has served as a visiting faculty member at both Government College University, Lahore, and Government M.A.O. Graduate College, Lahore, teaching a range of undergraduate and advanced mathematics courses including Real Analysis, Optimization Theory, Graph Theory, and Numerical Analysis. His research contributions encompass over ten peer-reviewed publications in reputed international journals such as Symmetry, Fractal and Fractional, Journal of Function Spaces, AIMS Mathematics, and Journal of Algebraic Combinatorics. His work focuses on iterative schemes, computational methods in Banach and CAT(0) spaces, and applications of fixed point theory in mathematical modeling and dynamic systems. In addition to his research, he actively serves as a reviewer for multiple international journals, including Open Mathematics, Alexandria Engineering Journal, Qeios, Sahand Communications in Mathematical Analysis, and Iraqi Journal of Science. Dr. Ahmad is also an Academic Board Member of Global Open Share Publishing and advisor to Dr. Salam Society for Mathematics at GC University. His scholarly excellence is reflected in his growing citation record and contributions to collaborative global research. He has presented at international conferences, including the 1st International Conference on Mathematics and Mathematics Education, Indonesia, and continues to advance mathematical inquiry through both teaching and research.27 Citations, 11 Documents, h-index: 3.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Ahmad, K.*., Shabbir, K., & Ahsan, K. (2025). A refined inertial-like subgradient method for split equality problems. AppliedMath, 5(3), 117.

2. Jia, J., Shabbir, K., Ahmad, K.*, Shah, N. A., & Botmart, T. (2022). Strong convergence of a new hybrid iterative scheme for nonexpensive mappings and applications. Journal of Function Spaces, 2022(1), 4855173. Citations: 19

3. Ahmad, K.*., Dolores-Cuenca, E. R., & Shabbir, K. (2025). Shuffle series. Journal of Algebraic Combinatorics, 61(2), 1–40. Citations: 2.

4. Ahmad, K.*., Shabbir, K., & Nazar, N. (2024). Convergence analysis of Picard–Thakur hybrid iterative scheme for α-nonexpansive mappings in uniformly convex Banach spaces. International Journal of Applied Mathematical Research, 13(1), 34–48. Citations: 2.

5. Khan, S. H., Ahmad, K.*, & Abbas, M. (2023). Approximation of fixed points for a pair of certain nonexpansive type mappings with applications. Punjab University Journal of Mathematics, 55(11), 427–449. Citations: 2.

Yuhan Nie | Fractal Geometry | Best Researcher Award

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Dr. Yuhan Nie | Fractal Geometry | Best Researcher Award

PhD at School of Transportation Engineering, Chang’an University, China

Dr. Yuhan Nie 🎓 is a dedicated researcher in Transportation Planning and Management at Chang’an University, China 🇨🇳. With a solid academic path from a Bachelor’s at Changsha University to a PhD in progress, Dr. Nie specializes in 🚦 road traffic safety, 📊 big data analysis, and trajectory-based risk detection. Her research has led to impactful publications in renowned journals like Accident Analysis & Prevention and Sustainability 📝. She has received multiple accolades 🏅 including the Outstanding Paper Award at the World Transport Congress and prizes in mathematical modeling and innovation contests. Actively participating in global academic events 🌍, Dr. Nie combines technical expertise with innovation in transport safety. Her work exemplifies the integration of theory and data-driven practice, making her a rising star ⭐ in transportation engineering research.

Professional Profile 

Scopus Profile
ORCID Profile

🎓 Education

Dr. Yuhan Nie began her academic journey with a Bachelor’s degree in Transportation Engineering from Changsha University of Science and Technology (2022) under the mentorship of Lecturer Li Shun. 🚉 She pursued her Master’s at Chang’an University in September 2022 and seamlessly progressed into a Ph.D. program in 2024 in Transportation Planning and Management. 🧠 Guided by Professor Zhang Chi and Associate Professor Zhang Min, Dr. Nie has demonstrated exceptional academic commitment. Her strong theoretical foundation and early transition into doctoral research reflect her deep passion for advancing the field of transportation systems. 📘 Her academic progression stands as a testament to her intellectual rigor, discipline, and long-term vision in tackling real-world transportation challenges using data-driven solutions. 📚

🏢 Professional Experience

Although still in the early stages of her professional journey, Dr. Nie has established a strong research portfolio as a PhD candidate at Chang’an University. 🏫 Her role has involved significant contributions to high-impact projects in road safety analysis, freight transportation modeling, and big data applications. She has actively collaborated with experienced professors and interdisciplinary teams, contributing to publications in leading journals like Accident Analysis & Prevention and Sustainability. 🧑‍💻 Her professional experience is enriched by her participation in national competitions, modeling exercises, and academic conferences. 🗂️ These experiences have refined her research methodology, data interpretation, and academic writing skills, placing her on a path toward becoming a respected voice in transport engineering and intelligent mobility. 🚗💡

🔬 Research Interest

Dr. Nie’s research interests focus on critical areas within transportation systems: road traffic safety 🚦, geometric road design analysis 🛣️, and traffic big data analytics 📊. Her work leverages vehicle trajectory data to assess risk-prone road segments, providing solutions for crash rate prediction and prevention. She is particularly interested in the intersection of data science and engineering, using fractal theory, modeling, and simulation to optimize roadway safety and logistics efficiency. 📈 Her scholarly efforts aim to inform urban planners and policymakers about predictive interventions and infrastructure improvements. Dr. Nie’s interdisciplinary approach reflects her commitment to building smarter, safer transportation networks for future generations. 🚚📡

🏅 Awards and Honors

Dr. Yuhan Nie has been recognized with multiple prestigious honors 🏆 that highlight her research excellence and innovation. These include the Outstanding Paper Award at the 2023 World Transport Congress, the First Prize in the 4th ‘Huashu Cup’ Graduate Mathematical Modeling Competition, and the Silver Award in the 2024 Chang’an University Challenge Cup Entrepreneurship Plan Competition. 🥈 She also received recognition at the “Stone Gold Cup” BIM Technology Competition, demonstrating her ability to apply theoretical knowledge to practical problems. 🧠 These accolades reflect her leadership potential, creativity, and strong analytical skills. Dr. Nie’s growing list of honors marks her as a rising academic leader in transportation and mobility innovation. 🚦🏅

🛠️ Research Skills

Dr. Nie possesses a robust suite of research skills, including traffic simulation, data modeling, trajectory analysis, and machine learning applications in transportation. 🧮 She is proficient in using high-frequency GPS data for behavior modeling and employs statistical tools for crash rate evaluations. 💻 Her familiarity with advanced modeling techniques and traffic data platforms enables her to conduct comprehensive safety evaluations and develop predictive frameworks. Her collaborative nature, academic writing strength, and presentation skills make her a valuable contributor to research teams. 📚 She also demonstrates adaptability in using interdisciplinary methods to solve transport-related issues, making her research both relevant and practical. 🚗📊

Publications Top Note 📝

🔹 Vehicle Trajectory Fractal Theory for Macro-Level Highway Crash Rate Analysis

  • Authors: Yuhan Nie, Min Zhang, Bo Wang, Chi Zhang, Yijing Zhao

  • Year: 2025

  • Journal: Accident Analysis & Prevention, Volume 215

  • DOI: 10.1016/j.aap.2025.107989

  • Source: Elsevier (Crossref Indexed)

  • Citation: Recently published; citations expected soon

  • Summary: Introduces fractal theory to vehicle trajectory data for large-scale analysis of highway crash risks.

🔹 Review and Prospect of Floating Car Data Research in Transportation

  • Authors: Chi Zhang, Yaping Zhou, Min Zhang, Bo Wang, Yuhan Nie

  • Year: 2024

  • Journal: Journal of Traffic and Transportation Engineering (English Edition) (Online First)

  • Source: Elsevier

  • Citation: Under online publication; citations to follow post-indexing

  • Summary: Offers a comprehensive survey on floating car data applications and future research in intelligent transportation systems.

🔹 Analysis of the Duration of Mandatory Lane Changes for Heavy-Duty Trucks at Interchanges

  • Authors: Min Zhang, Yuhan Nie, Chi Zhang, Bo Wang, Shengyu Xi

  • Year: 2024

  • Journal: Sustainability, Volume 16, Issue 14

  • DOI: 10.3390/su16146215

  • Source: MDPI

  • Citation: Indexed and available for citation

  • Summary: Investigates mandatory lane-change durations for heavy trucks at interchanges, aiding traffic safety improvements.

🔹 A Speed Model for Freight Trains on Interchange Ramps Based on High-Frequency GPS Data

  • Authors: Min Zhang, Kai Liu, Chi Zhang, Shengyu Xi, Yuhan Nie

  • Year: 2024

  • Journal: Journal of Transportation Engineering, Pages 1–17

  • Source: ASCE (American Society of Civil Engineers)

  • Citation: Awaiting full indexing

  • Summary: Proposes a speed modeling framework for freight trains using GPS data to enhance operational safety on ramps.

Conclusion

Dr. Yuhan Nie is a highly promising young researcher whose dedication, innovation, and scholarly excellence place her on a clear path to academic and professional distinction. 🌟 With a blend of technical competence, analytical precision, and practical impact, she is contributing meaningfully to the field of transportation engineering. 🚦 Her early yet prolific record of publication, awards, and academic engagement reflects both her current achievements and future potential. As she continues her doctoral studies, Dr. Nie is poised to drive forward new insights in road safety and intelligent transport systems, making her an outstanding candidate for research recognition and global collaborations. 🌍🏅