
Insightful Academic with the proven expertise of 13+ years Post PhD Industrial consultancy, Academic, Research, Innovation, undergraduate and postgraduate level teaching, and acquisition of successful Research grants. Expert in Geostatistical and Artificial Intelligence-based Mineral Resources Modelling, Lithological Mapping, Production Scheduling and Data Mining/AI-based solutions for the Geoscience and minerals Industry. Proven history of helping industry, students achieve goals. Supervised BSc and MSc theses and authored/co-authored over 19 articles in peer-reviewed journals.
· Perused research in geological modelling and Resource Estimation to bridge the gap between Mining and Geology
· Poineered Mineral Resource Estimation Practices and Implemented in Industry
· Revised course objectives, course materials, instructional and
assessment strategies for undergraduate and postgraduate courses for Mining Engineering.
· Contributed to planning appropriate and engaging lessons for both classroom and distance learning applications.
· Assisted professors and school administrators with continuous development, review, planning and outcomes evaluation to measure Undergraduate and Postgraduate program performance.
· Development of cost-effective Mineral Resource Estimation Models using multi-source data (e.g. Geophysical, remote sensing and geochemical data).
· Lead research agenda in AI for Mining and Minerals Engineering to publish in peer-reviewed journals.
· Collaborated with colleagues on National level (through Higher Education Commission Pakistan) on curriculum revision, evaluation of course syllabi and lesson plans for Outcome-based Mining Engineering curriculum.
· Acquired research grants through academic proposals meeting industrial demands, providing opportunities by enabling young minds to meet industrial demands.
· Handled department academic administration positions, including administrative affairs at University level.
· Mentored students and communicated internship and employment opportunities.
· Contributed to campus activities to promote positive university image.
· Applied innovative teaching methods to encourage student learning objectives
Year Thesis: Rock Mass Classification and Support Recommendations for Gandhaf Irrigation tunnel
Member Mineral Policy formulation for the Govt of Khyber Pakhtunkhwa Pakistan
Secretary/Member of OBE based National curriculum Revision committee 2018, for Mining Engineering Higher Education Commission, Pakistan.
Member Board of Studies Mining Engineering UET Peshawar Postgraduate Advisor Dept. of Mining Engineering, UET Peshawar Semester Coordinator for Undergraduate Studies, Dept. of Mining Engineering, UET Peshawar
IAMG (International Association of Mathematical Geology): Lifetime
IOM3 (Institute of Materials Minerals and Mining): GradIMMM
Pakistan Engineering Council: Professional Engineer
1. Khan AU, Jan QMU, Abas M, Muhammad K, Ali QM, Zimon D. Utilization of Biowaste for Sustainable Production of Coal Briquettes. Energies. 2023; 16(20):7025. https://doi.org/10.3390/en16207025
2. Muhammad, K and Glass, H.J. A fuzzy logic based explicit declustering technique. Heliyon, 2023; 9:6 https://doi.org/10.1016/j.heliyon.2023.e16817
3. Elahi, F.; Muhammad, K.; Din, S.U.; Khan, M.F.A.; Bashir, S.; Hanif, M. Lithological Mapping of Kohat Basin in Pakistan Using Multispectral Remote Sensing Data: A Comparison of Support Vector Machine (SVM) and Artificial Neural Network (ANN). Appl. Sci. 2022, 12, 12147. https://doi.org/10.3390/app1223121472022
4. Abid Ali Khan Danish, Asif Khan & Khan Muhammad (2022) A simulated annealing based stochastic long-term production scheduling of open-pit mines with stockpiling under grade uncertainty, International Journal of Mining, Reclamation and Environment. 10.1080/17480930.2022.2140543
5. Ahmed, W.; Muhammad, K.; Glass, H.J.; Chatterjee, S.; Khan, A.; Hussain, A. Novel MLR-RF-Based Geospatial Techniques: A Comparison with OK. ISPRS Int. J. Geo-Inf. 2022, 11, 371. https://doi.org/10.3390/ijgi11070371
6. Khan AU, Salman S, Muhammad K, Habib M. Modelling Coal Dust Explosibility of Khyber Pakhtunkhwa Coal Using Random Forest Algorithm. Energies. 2022; 15(9):3169. https://doi.org/10.3390/en15093169
7. Din SU, Muhammad K, Khan MFA, Bashir S, Sajid M, Khan A. A Fusion of Feature-Oriented Principal Components of Multispectral Data to Map Granite Exposures of Pakistan. Applied Sciences. 2021; 11(23):11486. https://doi.org/10.3390/app112311486
8. AAK Danish, Khan A, Muhammad K, Ahmad W, and Salman S. A simulated annealing based approach for open pit mine production scheduling with stockpiling option, Resources Policy, Volume 71, 2021, 102016, ISSN 0301-4207, https://doi.org/10.1016/j.resourpol.2021.102016.
9. Salman S, Muhammad K, Khan A, Glass HJ. A Block Aggregation Method for Short-Term Planning of Open Pit Mining with Multiple Processing Destinations. Minerals. 2021; 11(3):288. https://doi.org/10.3390/min11030288
10. B. Khurshid, S. Maqsood, M. Omair, B. Sarkar, I. Ahmad and K. Muhammad, "An Improved Evolution Strategy Hybridization With Simulated Annealing for Permutation Flow Shop Scheduling Problems," in IEEE Access, vol. 9, 2021, pp. 94505-94522. https://doi.org/10.1109/ACCESS.2021.3093336
11. Rehman H, Naji AM, Nam K, Ahmad S, Muhammad K, Yoo H-K. Impact of Construction Method and Ground Composition on Headrace Tunnel Stability in the Neelum–Jhelum Hydroelectric Project: A Case Study Review from Pakistan. Applied Sciences. 2021; 11(4):1655. https://doi.org/10.3390/app11041655
12. Khan MFA, Muhammad K, Bashir S, Ud Din S, Hanif M. Mapping Allochemical Limestone Formations in Hazara, Pakistan Using Google Cloud Architecture: Application of Machine-Learning Algorithms on Multispectral Data. ISPRS International Journal of Geo-Information. 2021; 10(2):58. https://doi.org/10.3390/ijgi10020058
13. Ahmed W, Muhammad K, Siddiqui, FI. Predicting Calorific Value of Thar Lignite Deposit: A Comparison between Back-propagation Neural Networks (BPNN), Gradient Boosting Trees (GBT), and Multiple Linear Regression (MLR), Applied Artificial Intelligence. 2020; 34:14, 1124-1136, https://doi.org/10.1080/08839514.2020.1824091
14. Khan, MAZ, Kamran M, Muhammad, K. Identification of the Optimal Operating Parameters of Locally Available Coal for Use in Pakistani Industries. JOURNAL OF ENGINEERING AND APPLIED SCIENCES. 2018; 37(1), 20-25. Retrieved from http://researcherslinks.com/current-issues/IDENTIFICATION-OF-THE-OPTIMAL-OPERATING/31/5/3070
15. Muhammad K, Shah, A. Minimizing Backbreak at Deewan Cement Limestone Quarry using artificial Neural Network. Archives of Mining Sciences. 2017; 62(4): 795-806. https://doi.org/10.1515/amsc-2017-0055
16. Abbas N, Muhammad K. Optimization of Operating and Design Parameters of Water only Cyclone using Cherat Coal in Pakistan. J Nucl Ene Sci Power Generat Technol. 2016; 5:2 https://doi.org/10.4172/2325-9809.1000149
17. Muhammad K, Mohammad N, Rehman F. Modeling Shotcrete Mix Design using Artificial Neural Network. Computers and Concrete. 2015; 15(2):1-20. https://doi.org/10.12989/CAC.2015.15.2.167
18. Usman T, Muhammad K. Analysis of Blasting Operation at Deewan Cement Quarry, Hattar: Principal Component Analysis. JEAS. 2013; 32(1):1-10. http://researcherslinks.com/current-issues/MODELING-OF-BLASTING/31/5/3218
19. Muhammad K, Glass HJ. Modelling Short-Scale Variability and Uncertainty During Mineral Resource Estimation Using a Novel Fuzzy Estimation Technique. Geostandards and Geoanalytical Research. 2011; 35: 369–385. https://doi.org/10.1111/j.1751-908X.2010.00051.x
Reviewer of 7 Scientific Journals (13 reviews): https://www.webofscience.com/wos/author/record/AFN-5158-2022
1. 5 days of Training for Geoscientists AI based solutions for Mining Industry (Dec 2021)
2. Keynote Speaker at Ist IEEE international Conference on Artificial Intelligence organized by National Centre of AI at NUST, Islamabad 5-7 April 2021 “AI products for Minerals Industry developed at Intelligent Information Processing Lab”
3. Exploration of geosciences using advanced geo-information tool Conference. Organized by GIS & Space Application in Geosciences Lab at National Centre of Excellence in Geology University of Peshawar June 25, 2021 “From AI based 2D mapping to 3D geological Modelling.”
4. Invited speaker at 3rd International Symposium on Chemical and Mineral Resource Engineering (ISCMRE’21). Organized by Pakistan Institute of Engineering and Applied Sciences Islamabad Pakistan. 26 and 27 October 2021. “AI based solutions for the Minerals Industry”.
5. Young geoscientists Conference, University of Exeter, UK 10 Oct, 2007 “Predicting geology using fuzzy logic”
UK Minerals Conference, Imperial College, London, UK 9-10 Sep, 2007 “Application of Fuzzy Logic in Mineral Resource Estimation”
1- Prof Hylke J Glass, Rio Tinto Professor of Mining and Minerals Engineering, University of Exeter, Penryn, UK. Email: H.J.Glass@exeter.ac.uk Telephone: +44-1326 371823
2- Waqar Ali Asad, Associate Professor of Mining Engineering, WASM: Minerals, Energy and chemical Engineering, Kalgoorie campus, Building Mining (Odwyn Jones) WA Australia Email: Waqar.Asad@curtin.edu.au, Telephone: +61-08 9088 6139
· Member Mineral Policy formulation for the Govt of Khyber Pakhtunkhwa Pakistan
· Secretary/Member of OBE based National curriculum Revision committee 2018, for Mining Engineering Higher Education Commission, Pakistan.
· Member Board of Studies Mining Engineering UET Peshawar
· Postgraduate Advisor Dept. of Mining Engineering, UET Peshawar
· Semester Coordinator for Undergraduate Studies, Dept. of Mining Engineering, UET Peshawar
· IAMG (International Association of Mathematical Geology)
· IOM3 (Institute of Materials Minerals and Mining): GradIMMM member
Pakistan Engineering Council
Postgraduate: Spatial Data Analysis and Reserve Estimation, Advance Geostatistics, Computer Application in Mining and Advanced Programming, Operations Research, Coal Preparation
Undergraduate: Probability and Satatistics, Geostatistical Ore Reserve Estimation, Mine Economics, Coal Preparation, Underground Mine Design, Computer Programming, Engineering Geology