Dr. Kailiang Lu | Numerical Simulation | Best Researcher Award

Dr. Kailiang Lu | Numerical Simulation | Best Researcher Award

Dr. Kailiang Lu, China University of Mining and Technology, China

Kailiang Lu is a dedicated Ph.D. candidate in Geological Resources and Geological Engineering at Chang’an University, where he also completed his Bachelor’s in Geophysics. Known for his academic excellence, Kailiang progressed directly from his Masterā€™s studies to a doctoral program, reflecting his strong performance and commitment to research. His work focuses on 3D transient electromagnetic forward modeling and transient electromagnetic migration imaging, contributing valuable insights to the field of geophysics. Kailiang has received several awards, including the National Scholarship for Postgraduate Students and the Outstanding Graduate Student Scholarship at Chang’an University in 2018 and 2019.

Professional Profile:

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Suitability for the Award:

Kailiangā€™s research directly aligns with the objectives of the Best Researcher Award, as he has demonstrated both technical innovation and a strong publication record in geophysical methods. His achievements in developing computational algorithms for transient electromagnetic data modeling position him as an influential researcher in the field of geological engineering.

Academic Background:

Kailiang Lu is a Ph.D. candidate in Geological Resources and Geological Engineering at Chang’an University, where he also completed his Bachelorā€™s and Masterā€™s studies in Geophysics. Due to his exceptional academic performance, Kailiang transitioned directly to his doctoral studies, bypassing the requirement for a formal masterā€™s degree.

Research Focus:

Kailiangā€™s research specializes in 3D Transient Electromagnetic Forward Methods and Transient Electromagnetic Migration Imaging, where he advances imaging and analysis techniques in geological studies.

Awards & Honors:

His academic journey is marked by multiple recognitions, including the Outstanding Graduate Student Scholarship (2018, 2019) and the prestigious National Scholarship for Postgraduate Students. These accolades underscore his dedication and achievements in geophysical research and innovation.

Publication Top Notes:

  • New multi-resolution and multi-scale electromagnetic detection methods for urban underground spaces
    • Citations: 19
    • Year: 2018
  • A precise integration transform algorithm for transformation from the transient electromagnetic diffusion field into the pseudo wave field
    • Citations: 16
    • Year: 2021
  • The application of multi-grounded source transient electromagnetic method in the detections of coal seam goafs in Gansu Province, China
    • Citations: 15
    • Year: 2021
  • Second-order Born approximation imaging algorithm for transient electromagnetic pseudo wave-field
    • Citations: 10
    • Year: 2022
  • A new method for space-based detecting small-scale space debris with high-resolution using transient electromagnetism
    • Citations: 9
    • Year: 2018

 

 

Dr. Yasir Nawaz | Computational Method | Best Researcher Award

Dr. Yasir Nawaz | Computational Method | Best Researcher Award

Dr. Yasir Nawaz, Comwave Institue, Pakistan

Dr. Yasir Nawaz is an esteemed mathematician and Assistant Professor at Comwave Institute of Science & Information Technology, Pakistan, where he has been serving since November 2023. He completed his Ph.D. in Mathematics, specializing in Computational & Applied Mathematics, from Air University Islamabad, focusing on Numerical Techniques for Boundary Layer Problems. Prior to his doctoral studies, he earned an M.Phil in Pure Mathematics as a Gold Medalist from Quaid-i-Azam University Islamabad and an M.Sc. in Mathematics from the same institution. Dr. Yasir’s research proficiency extends to Matlab, Mathematica, and Comsol, where he applies his expertise in coding, simulations, and algebraic computations. With a strong academic background and a commitment to teaching, he has held various positions, including Lecturer at Hitec University Taxila, Visiting Faculty Member at Nu-Fast, and an online instructor for international students, garnering top honors throughout his educational and professional journey.

Professional Profile:

Scopus

šŸ« Academic Qualifications:

Dr. Yasir Nawaz completed his Ph.D. in Mathematics, specializing in Computational & Applied Mathematics, from Air University Islamabad, Pakistan (2017-2020), achieving a perfect C.G.P.A of 4/4. His doctoral thesis focused on Numerical Techniques for Boundary Layer Problems. Prior to this, he earned an M.Phil in Pure Mathematics (Gold Medalist) from Quaid-i-Azam University Islamabad, Pakistan (2006-2008), with a thesis on (Ī±, Ī²)-Fuzzy Ideals in Semigroups, and an M.Sc. in Mathematics from the same institution (2004-2006).

šŸ“œ Educational Achievements:

  • First Position in M.Phil at the Department of Mathematics and the Faculty of Natural Sciences, Quaid-i-Azam University.
  • Second Position in B.Sc-II Punjab University Exam 2004 at F.G. Sir Syed College, The Mall Rawalpindi Cantt.

šŸ‘Øā€šŸ« Professional Experience:

Dr. Yasir has held various academic positions, including:

  • Lecturer at the Department of Mechanical Engineering, Hitec University Taxila, Pakistan.
  • Visiting Faculty Member at Nu-Fast.
  • Online Teacher for international students.
  • Assistant Professor at Comwave Institute of Science & Information Technology (since November 2023).

šŸ’» Research and Skills:

His research expertise includes Numerical Techniques for Boundary Layer Problems, with proficiency in software tools such as Matlab, Mathematica, and Comsol for coding, simulations, and algebraic computations.

šŸŒ Distinctions and Honors:

  • Achieved first positions in M.Phil at both the departmental and faculty levels.
  • Secured top positions in B.Sc. and intermediate exams.

Publication Top Notes:

  • Title: A two-stage multi-step numerical scheme for mixed convective Williamson nanofluid flow over flat and oscillatory sheets
    • Year: 2024
  • Title: Fractal Numerical Investigation of Mixed Convective Prandtl-Eyring Nanofluid Flow with Space and Temperature-Dependent Heat Source
    • Year: 2024
  • Title: A two-stage reliable computational scheme for stochastic unsteady mixed convection flow of Casson nanofluid
    • Year: 2024
  • Title: A Hybrid SIR-Fuzzy Model for Epidemic Dynamics: A Numerical Study
    • Year: 2024
  • Title: Precision in disease dynamics: Finite difference solutions for stochastic epidemics with treatment cure and partial immunity
    • Year: 2024