Dr Muhammad Naeim Mohd Aris

Dr Muhammad Naeim Mohd Aris

  • Lecturer
Department of American Degree Transfer Programme

Biography

Muhammad Naeim Mohd Aris holds Ph.D. and M.Sc. with specialization in Applied Mathematics from Universiti Teknologi PETRONAS, Malaysia; and B.Sc. (Honours – Class 1) in Mathematics from Universiti Teknologi MARA, Malaysia. He is passionate about teaching and research. He has over 6 years of experience teaching various subjects in Mathematics/Statistics at pre-university and undergraduate levels. His research work is related to stochastic process-based modelling, optimization, and inversion methodology in oil and gas application. He is currently collaborating on research with other experts in various fields to mathematically address existing gaps in different applications.

 

Academic & Professional Qualifications

Doctor of Philosophy in Applied Science, Universiti Teknologi PETRONAS, Malaysia (2023)
Master of Science, Universiti Teknologi PETRONAS, Malaysia (2018)
Bachelor of Science in Mathematics with Honours, Universiti Teknologi MARA, Malaysia (2017)

Research Interests

  • Mathematical and Statistical Modelling
  • Inversion
  • Optimization Algorithms
  • Applied Mathematics

Notable Publications

  1. M.N. Mohd Aris, H. Daud, K.A. Mohd Noh, and S.C. Dass, “Stochastic process-based inversion of electromagnetic data for hydrocarbon resistivity estimation in seabed logging,” Mathematics, vol. 9, p. 935, 2021.
  2. H. Daud, M.N. Mohd Aris, K.A. Mohd Noh, and S.C. Dass, “A novel methodology for hydrocarbon depth prediction in seabed logging: Gaussian process-based inverse modelling of electromagnetic data,” Applied Sciences, vol. 11, p. 1492, 2021.
  3. M.N. Mohd Aris, H. Daud, K.A. Mohd Noh, and S.C. Dass, “Model calibration of stochastic process and computer experiment for MVO analysis of multi-low-frequency electromagnetic data,” Processes, vol. 8, p. 605, 2020.
  4. M.N. Mohd Aris, H. Daud, S.C. Dass, and K.A. Mohd Noh, “Gaussian process methodology for multi-frequency marine controlled-source electromagnetic profile estimation in isotropic medium,” Processes, vol. 7, p. 661, 2019.
  5. M.N. Mohd Aris, H. Daud, S.C. Dass, and K.A. Mohd Noh, “Gaussian process for hydrocarbon depth estimation in forward modelling of seabed logging,” Journal of Environmental and Engineering Geophysics, vol. 24, no. 3, pp. 399 – 408, 2019.
  6. M.N. Mohd Aris, H. Daud, K.A. Mohd Noh, and S.C. Dass, “Modelling 1-D synthetic seabed logging data for thin hydrocarbon detection: An application of Gaussian process,” in AIP Conference Proceedings, vol. 2266, p. 090002, 2020.
  7. M.N. Mohd Aris, H. Daud, K.A. Mohd Noh, and S.C. Dass, “Estimating marine CSEM responses using Gaussian process regression based on synthetic models,” in Studies in Systems, Decision and Control, vol. 383, S.A. Abdul Karim and A. Shafie, Eds. Switzerland: Springer, ch. 17, pp. 235 – 247, 2022.
  8. M.N. Mohd Aris, H. Daud, K.A. Mohd Noh, and S.C. Dass, “Multivariate Gaussian process regression for evaluating electromagnetic profile in screening process of seabed logging,” in Springer Proceedings in Complexity, S.A. Abdul Karim, M.F. Abd Shukur, C. Fai Kait, H. Soleimani, and H. Sakidin, Eds. Switzerland: Springer, ch, 45, pp. 487 – 501, 2021.

Achievements & Accolades

  1. Project Investigator (PI)
  2. Sunway University Internal Grant Scheme 2023
  3. GRTIN-IGS-CAE-06-2023