Qiang Li | Computer Science | Best Researcher Award

Mr. Qiang Li | Computer Science | Best Researcher Award

Lecturer, Qingdao University, China

Dr. Li Qiang is an experienced lecturer in computer science with a PhD in Engineering. He specializes in high-performance computing and has a strong background in both teaching and research. Committed to fostering academic excellence and technological innovation, Dr. Li has been a dedicated educator and researcher at Qingdao University since 2015.

Profile

ORCID

 

Education 🎓

PhD in Engineering: University of the Chinese Academy of Sciences, Computer Network Information Center (2010-2014), Advisor: Lu Zhonghua. Master’s in Information Science and Engineering: Shandong University of Science and Technology (2007-2010), Advisor: Zhao Maoxian. Bachelor’s in Education: Qingdao University (2003-2007).

Experience 👨‍🏫

Lecturer at Qingdao University, School of Computer Science and Technology (January 2015-Present). Teaching undergraduate and graduate courses in computer science. Supervising student research projects and theses. Conducting research in high-performance computing. Published 12 research papers in journals and conferences. Granted 2 patents.

Research Interests 🔬

Dr. Li Qiang’s research interests lie in high-performance computing, particularly in the optimization and parallel implementation of numerical simulations and the development of new computational frameworks. His work focuses on enhancing computational efficiency and scalability in large-scale scientific computations.

Awards 🏆

Dr. Li Qiang has been recognized for his contributions to the field of high-performance computing through multiple publications and patents. His innovative work has led to advancements in computational methods and has garnered attention in the academic community.

Publications 📄

Optimization Research of Heterogeneous 2D-Parallel Lattice Boltzmann Method Based on Deep Computing Unit. Appl. Sci. 2024, 14, 6078.

Heterogeneous Parallel Implementation of Large-Scale Numerical Simulation of Saint-Venant Equations. Appl. Sci. 2022, 12, 5671. Cited by 6

The Study of Parallelization of SWAT Hydrology Cycle. The 32nd ACM International Conference on Supercomputing, Beijing, 2018. [Cited by 3]

A New Parallel Framework of Distributed SWAT Calibration. Journal of Arid Land, 2015, 7(1): 122-131. [Cited by 7]

Parallel Simulation of High-Dimensional American Option Pricing Based on CPU VS MIC. Concurrency and Computation: Practice and Experience, 2014, 27(5): 1110-1121. [Cited by 5]

MUHAMMAD TOSEEF | Numerical Analysis | Best Researcher Award

Mr. MUHAMMAD TOSEEF | Numerical Analysis | Best Researcher Award

PhD student, Nanjing Normal University China

Muhammad Toseef is a dedicated mathematician from Pakistan, who has made significant contributions to the field of mathematics. He completed his BS Mathematics in 2018 and his Masters of Philosophy in Mathematics in 2021. He is currently a Senior Mathematics Teacher at The Punjab School Lahore. With a strong academic background and a passion for research, Toseef has published multiple impact factor research papers and attended various international conferences and workshops.

Profile

Google Scholar

Education 🎓

Muhammad Toseef holds a Master of Philosophy in Mathematics from Government College University, Lahore, with a CGPA of 3.20, completed in 2020. He earned his Bachelor of Science in Mathematics from Government College University, Faisalabad, in 2018 with a CGPA of 3.62. Prior to his university education, he completed his Intermediate in Computer Science (ICS) from BISE Sahiwal and Matriculation in Science from BISE Multan.

Experience 👨‍🏫

Toseef began his teaching career at Bright Grammar School, Lahore, as a Mathematics Teacher from December 2018 to August 2019. He then advanced to become a Senior Mathematics Teacher at The Punjab School Lahore, a position he has held since August 2019.

Research Interests 🔬

His research interests include Integral Inequalities, Quantum Calculus and its Applications, Mathematical Inequalities and Convex Functions, Soliton Solutions of Partial Differential Equations, and Numerical Solutions of Degenerate PDEs. His work in these areas has led to several impactful publications and conference presentations.

Awards 🏆

Toseef has received several awards and honors, including the PEEF Scholarship for both his BS and MS levels from the Punjab Government. He was also awarded a laptop under the Chief Minister Laptop Scheme, recognizing his academic excellence.

Publications 📚

Kashuri, A., Ali, M. A., Abbas, M., & Toseef, M. (2021). Some inequalities for generalized convex functions pertaining generalized fractional integral operators and their applications. Journal of Applied Mathematics, Statistics and Informatics, 17, 2419. (IF=0.40) Link

Ali, W., Asjad, M. I., Toseef, M., & Amjad, T. (2022). Analysis of propagating wave structures of the cold bosonic atoms in a zig-zag optical lattice via comparison with two different analytical. Optical and Quantum Electronics. (IF=2.78) Link

Toseef, M., Zhang, Z., & Ali, M. A. (Revised). On q-Hermite-Hadamard-Mercer and midpoint Mercer type Inequalities for Generalized convex functions and their computational analysis. Journal of Computational and Applied Mathematics. (IF=2.99) Link

Zhan, X., Mateen, A., Toseef, M., & Ali, M. A. (Revised). Some Simpson’s and Ostrowski’s Type Integral Inequalities for Generalized Convex Functions in Multiplicative Calculus With Their Computational Analysis. MDPI, Mathematics. Link

Toseef, M., Zhang, Z., & Ali, M. A. (Submitted). Refinement of Jensen Inequality and Hermite-Hadamard-Mercer Type Inequalities for coordinated convex functions with their applications. Rockey Mountain Journal of Mathematics. Link