+966 13 849 4384
mnayeemuddin@pmu.edu.sa
S-016
Dr. Mohd Nayeemuddin obtained his PhD in Civil Environmental Engineering from Univerisiti Sains Malaysia (Malaysia) current year 2025, Masters in the field of Structural Engineering and B.E. in Civil Engineering from Visveswaraya Technological University-Belgaum Karnataka, India in 2012.
His expertise in Civil and Structural Engineering are as follows:
RCC design of buildings, Structural Steel design, Foundation design, applying Seismic earthquake and wind load by using structural application software’s like ETABS, STAAD PRO, Safe, SAP 2000, AUTOCAD, RCDC, Prokon.
Environmental Engineering: Treatment of seawater, pollutants removal from seawater and oil produced water under the solar and artificial source of light. Application of MATLAB (Artificial Neural Network) tool, Fuzzy analysis, regression model, optimization, ANOVA, variance, back propagation methods, genetic algorithm, Levenberg Marquardt, sigmoid method. Statistical analysis with Response surface methodology, Design expert, central composite design, Box Behkhen method of optimization for experimental variables of both seawater and oil produced water sam
Dr. Mohammed Nayeemuddin has 22 Journals, 27 Conferences and 3 Chapters of international repute and has total 14 years of experience in teaching and 4 years of experience in industry.
PhD in Civil/Environmental Engineering from Universiti Sains Malaysia in 18th Auguest 2025.
Master of Technology in Civil Engineering.
Specialization in Structural civil and Environmental Engineering.
Orcid ID: https://orcid.org/0000-0001-6683-0937
Scopus ID: https://www.scopus.com/dashboard.uri
Google Scholar:
https://scholar.google.com/citations?user=PAJF8JcAAAAJ&hl=en&authuser=1
Number of Scopus Journals and Conference Published online:
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1. Ahmed F, Mohammed N, Mewada H, Aziz MSA, Khor CY. An experimental evaluation, performance analysis, and improvement of water desalination system using optimized machine learning. Process Integr Optim Sustain. Published online October 17, 2025. doi:10.1007/s41660-025-00595-8
2. Awoyera PO, Adetola J, Nayeemuddin M, Mewada H, Fadugba OG. Soft Computing Solutions for Reducing the Carbon Footprint of Fly Ash Based Concrete. Yoo DY, ed. Advances in Civil Engineering. 2025;2025(1):4278730. doi:10.1155/adce/4278730
3. Khasawneh MA, Mewada H, Khasawneh AA, Nayeemuddin M. A Stacked Bidirectional Long Short-Term Memory (BiLSTM) Network to Predict Phase Angle and Complex Shear Modulus of the Superpave Dynamic Shear Rheometer. Iran J Sci Technol Trans Civ Eng. Published online September 27, 2025. doi:10.1007/s40996-025-02015-w
4. Mohammed N, Danish Ahmed, Tahar Ayadat, et al. Application of artificial neural networks (ANN) to evaluate centrifugal pump characteristics. In: 2025:883-891. doi:10.21741/9781644903414-96
5. Mohammed N, Abdulla S, Ayadat T, Asiz A, Rathod RG. Seismic behavior analysis of diagrid structures with different angles and conventional frames in seismic zone 5. Innov Infrastruct Solut. 2025;10(9):414. doi:10.1007/s41062-025-02230-4
6. Alsheyab MA, Khasawneh MA, Alotaibi DH, Mohammed N, Khasawneh AA. Prediction of LWST values using ML and ANN techniques from frcition and texture measuring devices based on long term field data. International Journal of Transportation Science and Technology. Published online February 4, 2025. doi:10.1016/j.ijtst.2025.01.015
7. Mohammed N, Dalya M. Alshali, Andi Asiz, et al. Advancements in green sustainable concrete technologies for sustainable development in Saudi Arabia: A review in light of vision 2030. In: 2025:271-278. doi:10.21741/9781644903414-30
8. Mohammed N, Andi Asiz, Shaik Abdulla, et al. Analyzing the differences between the impacts of wind and earthquakes on base shear and drift in diagrid structures. In: 2025:11-16. doi:10.21741/9781644903414-2
9. Mohammed N, Mohammad Abdul Mannan, Intan Nurhafizah Fazriana Hamzani, et al. Assessment of ready-mix concrete properties in various zones of concrete samples. In: 2025:1-10. doi:10.21741/9781644903414-1
10. Alotaibi D, Rehaf A, Sara A, et al. Structural design analysis of hybrid multi-rise buildings, with CLT and LGS light weight floor system, at Neom-The Line. In: 2025:103-112. doi:10.21741/9781644903414-12
11. Rajshekhar G Rathod KR Nayeemuddin Mohammed, Tahar Ayadat and Lingala Syam Sundar. Impact of Crushed Sand and Lime on Clayey Soil for Pavement Sub-Grade. In: https://doi.org/10.21741/9781644903414-109; 2025:1010-1019.
12. Khasawneh MA, Sawalha A, Khasawneh AA, Mohammed N, Ahmed D. Waste Vegetable Oil as a Sustainable Additive for Enhancing Asphalt Binder Properties: A Review. In: Chee CY, Wang C, eds. Selected Articles from the 8th International Conference on Materials Engineering and Nanotechnology, ICMEN 2024, 28-29 September, Kuala Lumpur, Malaysia. Vol 421. Springer Proceedings in Physics. Springer Nature Singapore; 2025:153-164. doi:10.1007/978-981-96-3624-2_14
13. Khasawneh MA, Nayeemuddin M, Ahmad Ali KHASAWNEH, Tamer ALNAZER. Investigating the impact of pavement surface features on skid resistance: A review on machine learning approach. In: 2025:923-930. doi:10.21741/9781644903414-100
14. Mohammed N, Tahar AYADAT, Mohammad Ali KHASAWNEH. Optimizing cover concrete durability in ready mixed concrete a critical review of curing methods and their impact on performance. In: 2025:279-288. doi:10.21741/9781644903414-31
15. Mohammed N, Zainab A. Al Mshar, Andi Asiz, et al. An overview of the mechanical and characterization aspects of self-compacting concrete in relation to the influence of catalyst. In: 2025:263-270. doi:10.21741/9781644903414-29
16. Alghannam YSH, Lujain Abdullah A ALTEWAIRQI, Feroz SHAIK, Faizan AHMED, Nayeemuddin M, Ratna Sunil BURADAGUNTA. Response surface methodology (RSM) for predicting and optimizing the pressure drop in submerged multi-jet electrolyte flow system. In: 2025:697-706. doi:10.21741/9781644903414-76
17. Talukdar A, Panda B, Hota S, Maharana MK, Nayeemuddin M, Panda S. Intelligent Solar Power Forecast with Machine Learning. In: IEEE; 2024:1-5.
18. Mewada H, Al-Asad JF, Patel H, Mohammed N. Leveraging Spatial and Temporal Features using CNN-LSTM for Improved Bone Fracture Classification from X-ray Images. In: 2024 6th International Symposium on Advanced Electrical and Communication Technologies (ISAECT). IEEE; 2024:1-5. doi:10.1109/ISAECT64333.2024.10799900
19. Khasawneh MA, Mewada H, Nayeemuddin M, Rababah S, Khasawneh AA. Integrating Soil Index Parameters and Machine Learning for Reliable California Bearing Ratio Estimation using a GA-ELM Model. International Journal of Pavement Research and Technology. Published online 2024:1-18.
20. Mewada H, Sundar LS, Desai M, Mohammed N. Harnessing Transdisciplinary Knowledge: Integrated Deep Learning Techniques for Accurate Tomato Leaf Disease Classification. Transdisciplinary Journal of Engineering & Science. 2024;15.
21. Mohammed N, Asiz A, Khasawneh M, Mewada H, Sultana T. Machine learning and RSM-CCD analysis of green concrete made from waste water plastic bottle caps: Towards performance and optimization Machine learning and RSM-CCD analysis of green concrete made from waste water plastic bottle caps: Towards performance and optimization. Published online August 7, 2023.
22. Alzahrani F. Application of artificial intelligence (AI) in wind energy system with a case study. In: 2024:96-103. doi:10.21741/9781644903216-13
23. Alqahtani R, Feroz Shaik, Nayeemuddin Mohammed, Mohammad Ali KHASAWNEH, Tasneem S. Prediction of distillate output in photocatalytic solar still using artificial intelligence (AI). In: 2024:104-111. doi:10.21741/9781644903216-14
24. Mohammad Ali KHASAWNEH, Danish AHMED, Fawzyah ALKHAMMAS, Zainab ALMSHAR, Maryam HUSSSAIN, Dalya ALSHALI, Maryam ALKHURAIM, Rana, ALDAWOOD, Hidaia ALZAYER, Nayeemuddin MOHAMMED. Renewable energy in pavement engineering and its integration with sustainable materials: A review paper. In: 2024:377-384. doi:10.21741/9781644903216-49
25. Mohammed N, Khasawneh M, Mewada H, Sultana T, Khasawneh A. Levenberg-Marquardt Computational Approach to Developing Sustainable Concrete Mixes with Steel Slag Partial Replacement.; 2024.
26. Rabab’ah S, Khasawneh M, Mohammed N, Ahmed D. A Review of the Renewable Energy Technologies and Innovations in Geotechnical Engineering.; 2024. doi:10.21741/9781644903216-47
27. Nayeemuddin M, andi asiz, Mohammad AK, Feroz Shaik, Hiren M, Tasneem S. A comprehensive review on computing methods for the prediction of energy cost in Kingdom of Saudi Arabia. In: Materials Research Proceedings. 2024:156-163. doi:10.21741/9781644903216-21
28. Mohammed N, Palaniandy P, Shaik F, Mewada H. Statistical Modelling of Solar Photocatalytic Biodegradability of Seawater Using Combined Photocatalysts. Journal of The Institution of Engineers (India): Series E. Published online September 2023. doi:10.1007/s40034-023-00274-8
29. Mohammed N. Characterization of sustainable concrete made from wastewater bottle caps using a machine learning and RSM-CCD: towards performance and optimization. In: 2023:38-46. doi:10.21741/9781644902790-4
30. Nayeemuddin M, Palaniandya P, Shaik F, Mewada H. EXPERIMENTAL AND COMPUTATIONAL ANALYSIS FOR OPTIMIZATION OF SEAWATER BIODEGRADABILITY USING PHOTO CATALYSIS. IIUMEJ. 2023;24(2):11-33. doi:10.31436/iiumej.v24i2.2650
31. Mohammed N, Palaniandy P, Shaik F, Deepanraj B, Mewada H. Statistical analysis by using soft computing methods for seawater biodegradability using ZnO photocatalyst. Environmental Research. 2023;227:115696. doi:10.1016/j.envres.2023.115696
32. Shaik F, Mohammed N, Ahmed F, Lakkimsetty NR. Advanced Technologies for the Treatment of Pesticides. Vol 2690.; 2023. doi:10.1063/5.0119507
33. Mohammed N, Palaniandya P, Shaik F, Mewada H. Experimental and Computational analysis for optimization of seawater biodegradability using photocatalysis. IIUM Engineering Journal. 2023;24(2):11-33. doi:10.31436/iiumej.v24i2.2650
34. Al Ajmi S, Ali Syed M, Shaik F, Nayeemuddin M, Balakrishnan D, Myneni VR. Treatment of Industrial Saline Wastewater Using Eco-Friendly Adsorbents. Wagh VM, ed. Journal of Chemistry. 2023;2023:1-11. doi:10.1155/2023/7366941
35. Mohammed N, Palaniandy P, Feroz S, Mewada H, Deepanraj B. Comparative studies of RSM Box-Behnken and ANN-Anfis fuzzy statistical analysis for seawater biodegradability using TiO2 photocatalyst. Chemosphere. 2022;314:137665. doi:10.1016/j.chemosphere.2022.137665
36. Feroz S, Mohammed N, Lakkimsetty NR. Treatment Technologies for the Removal of Micro Plastics from Aqueous Medium. Vol 2463.; 2022. doi:10.1063/5.0080232
37. Mohammed N, Palaniandy P, Feroz S. Solar Photocatalytic Biodegradability of Saline Water: Optimization Using RSM and ANN. Vol 2463.; 2022. doi:10.1063/5.0080297
38. Mohammed N, Chowdhury SR, Ayadat T, Ahmed D, Asiz A. A comparative analysis between female and male motivations to study engineering: a case study in Saudi Arabia.
39. Shaik F, Mohammed N. Testing an aerobic fluidized biofilm process to treat intermittent flows of oil polluted wastewater. Journal of Engineering Research. Published online September 2021. doi:10.36909/jer.12205
40. Mohammed N, Palaniandy P, Feroz S. Advanced Oxidation Processes for the Treatment of Pollutants from Saline Water. In: 2021:95-108. doi:10.1201/9781003185437-6
41. Mohammed N, Palaniandy P, Feroz S. Optimization of solar photocatalytic biodegradability of seawater using statistical modelling. Journal of the Indian Chemical Society. 2021;98:100240. doi:10.1016/j.jics.2021.100240
42. Feroz S, Al-Siyabi S, Lakkimsetty NR, Syed MA, Mohammed N. Assessment of Falaj Water Quality. Asian Journal of Water, Environment and Pollution. 2021;18:25-30. doi:10.3233/AJW210004
43. Ahmed D, Nayeemuddin M, Ayadat T, Asiz A. Computing Competency for Civil Engineering Graduates: Recent Updates and Developments in Saudi Arabia and the US. International Journal of Higher Education. 2021;10(6):57. doi:10.5430/ijhe.v10n6p57
44. Feroz S, Palaniandy P, Mohammed N. Pollutants removal from saline water by solar photocatalysis: a review of experimental and theoretical approaches. International Journal of Environmental Analytical Chemistry. Published online May 20, 2021. doi:10.1080/03067319.2021.1924160
45. Ayadat T, Khasawneh M, Chowdhury S, Mohammed N, Ahmed D, Asiz A. Effects of Students’ Home Environment, Tools, and Technology Used on Online Learning Experience in a Civil Engineering Program. International Journal of Information and Education Technology. Published online May 25, 2021. doi:10.18178/IJIET
46. Syed MA, Al-Shukaili Z, Feroz S, Mohammed N. Development and Characterization of Algae Based Semi-interpenetrating Polymer Network Composite. Arabian Journal for Science and Engineering. 2021;47:1-9. doi:10.1007/s13369-021-05567-x
47. Feroz S, Siyabi S, Eltayeb M, Mohammed N. Assessment of ground and surface water quality and its contamination. International Journal of Environmental Analytical Chemistry. 2021;103. doi:10.1080/03067319.2021.1873975
48. S.SulaiyamAlyaaqubi, Syed MA, Feroz S, Nayeemuddin M. Utilization of Agro-Waste Material as Potential Adsorbent for Wastewater Treatment.; 2020.
49. Syed MA, Sawafi M, Feroz S, Mohammed N. Polyurethane Green Composites: Synthesize, Characterization and Treatment of Boron Present in the Oil Produced Water. International Journal of Engineering Research and Technology. 2020;13:1866-1873. doi:10.37624/IJERT/13.8.2020.1866-1873
Prince Mohammad Bin Fahd University.
https://scholar.google.com/citations?hl=en&user=PAJF8JcAAAAJ
https://orcid.org/0000-0002-7757-936X
https://www.researchgate.net/profile/Nayeemuddin-Mohammed-2/research
Dr. Mohammed Nayeemuddin has total 14 years of experience in teaching and 4 years of experience in industry.
1. Design of Steel Structure.
2. Probability and Statististics.
3. Construction Management.
4. Hydraulics.
5. Environmental Engineering.
6. Introduction to Engineering.
7. Water and Waste Water Engineering.
7. Autocad.
8. LABS- Engineering Measurement, Hydraulic, Material Testing, Geotechnical lab, Vibration lab.
Experimental projects on cement concrete, fly ash, etc, theoretical application using training programs like Etabs, SAP 2000, Safe, STAAD PRO, RCDC, Prokon, Autocad.
Solar photocatalysis, pollutants removal from seawater and oil produce water and environmental engineering.
Application training program like MATLAB Machine Learning, Deep Learning, Artificial Neural Network and Design Expert (RSM) statistical modelling, optimization, regression, ANOVA analysis.
