Information

Name: Professor M.G.M. Khan
Position: Professor of Statistics and Deputy Head of School (L,T & Q)
Email: mgm.khan@usp.ac.fj
Phone: +679 323 2507

Detail Information

Research Interest:

  • Mathematical Programming and its Applications
  • Stratification, Survey Sampling and Calibration Estimation
  • Clustering
  • Statistical Modeling and Forecasting
  • Renewable Energy Studies and Environmental Science
  • Optimization
  • Bayesian Analysis
  • Data Science
  • Machine learning

 

Members of an organization:

  • Elected member of the International Statistical Institute (ISI).
  • Member of American Statistical Association (ASA).
  • Member of International Association of Survey Statistician (IASS).
  • Country Representative (Fiji) to The Survey Statistician, Newsletter of International Association of Survey Statisticians.

Undergraduate Courses:

Semester 1, 2024: MA341 – Numerical Analysis & Linear Programming

Postgraduate Course:

Semester 2, 2024: ST403 – Advanced Mathematical Programming

  • Gold Medal, Outstanding students in M.Sc. Statistics Examination, 1989
  • Gold Medal, Outstanding students in Combined M.Sc. Examination, 1989
  • Junior Research Fellowship to pursue MPhil/PhD, A.M.U., 1992 – 1994
  • Senior Research Fellowship to pursue PhD, A.M.U., 1994 –1996
  • Best Paper Award by Indian Society of Agricultural Statistics (India) for the paper entitled “Determining the Optimum Cluster Size” published in its journal during 1997 – 1999.
  • Elected member of the International Statistical Institute (ISI) since 2003. The living legend Professor C. R. Rao, a famous world leader in statistical science, was one of the five eminent nominators of the membership.

Journals:

  1. Kutty, S.S.; Khan, M.G.M. and Ahmed, M.R. (2024) Analysis of wind characteristics and wind energy resource assessment for Tonga using eleven methods of estimating Weibull parameters, Heliyon 10. https://doi.org/10.1016/j.heliyon.2024.e30047.
  2. Khan, M.G.M.; Patwary, M.M. Mamun, K.A. et al. (2023) Prevalence and associated risk factors for mental health problems among young adults in Fiji Island during COVID-19: A cross-sectional study, Frontiers in Public Health – Public Mental Health, 11. DOI: https://doi.org/10.3389/fpubh.2023.1323635.
  3. Reddy, K.G. and Khan, M.G.M. (2023) “Constructing Efficient Strata Boundaries in Stratified Sampling Using Survey Cost”, Heliyon, 9(11), e21407. DOI: https://doi.org/10.1016/j.heliyon.2023.e21407.
  4. Khan, M.G.M. and Ahmed, M.R. (2023) “Bayesian method for estimating Weibull parameters for wind resource assessment in a tropical region: a comparison between two-parameter and three-parameter Weibull distributions”, Wind Energy Science, 8, 1277-1298. DOI: https://doi.org/10.5194/wes-8-1277-2023.
  5. Narayan, N. and Khan, M.G.M. (2023) “A Goal Programming Approach: Multi-objective Optimization”, Global Journal of Pure and Applied Mathematics, 19(2), 477-498.
  6. Badru, L.O.; Vasudevan, V.; Lingam, G.I. and Khan, M.G.M. (2023) “MERN Stack Web‑Based Education Management Information Systems for Pacific Island Countries”, N. Computer Science, 4:70, DOI:10.1007/s42979-022-01457-7 (Online)
  7. Bulivou, G.; Reddy, K.G. and Khan, M.G.M. (2022) “A Novel Method of Clustering Using a Stochastic Approach”, IEEE Access, 10, 117925-117943. DOI: 10.1109/ACCESS.2022. 3219457.
  8. Singh, Krishneel; Khan, M.G.M. and Ahmed, M.R. (2022) “Wind energy resource assessment for Cook Islands with accurate estimation of Weibull parameters using frequentist and Bayesian methods”, IEEE Access, 10, 25935-25953. DOI:1109/ACCESS.2022.3156933.
  9. Reddy, E.V.; Reddy, P.; Sharma, B.; Reddy, K. and Khan, M.G.M. (2022) “Readiness and Perception of Pacific to Mobile Phones for Higher Education”, Technology, Knowledge and Learning, DOI:10.1007/s10758-022-09595-w
  10. Sharma, B.; Narayan, S.; Khan, M.G.M; Kumar, B.; Havea, R.; Johnson, J.B.; and Naiker, M. (2021) “The Attitudes of Tongan Senior Secondary Students Toward Science”, New Zealand Journal of Educational Studies. DOI:10.1007/s40841-021-00203-6.
  11. Reddy, K.G. and Khan, M.G.M. (2020) “stratifyR: An R Package for Optimal Stratification and Sample Allocation for Univariate Populations”, Australian & New Zealand Journal of Statistics, 62(3), 383-405. DOI: 10.1111/anzs.12301.
  12. Khan, M.G.M.; Rashid, M.A. and Sharma, S. (2020) “An Optimal Multivariate Cluster Sampling Design”, Communications in Statistics – Theory and Methods, 49(24), 6121-6128, DOI: 1080/03610926.2019.1626430.
  13. Talama, F.; Kutty, S.S.; Kumar, A.; Khan, M.G.M. and Ahmed, M.R. (2020) “Assessment of wind energy potential for Tuvalu with accurate estimation of Weibull parameters”, Energy Exploration & Exploitation, 38(5), 1742-1773. DOI: 10.1177/0144598720940874.
  14. Wardah, W.; Dehzangi, A.; Taherzadeh, G.; Rashid, M.; Khan, M.G.M. and Tsunoda, T. (2020) “Predicting protein-peptide binding sites with a Deep Convolutional Neural Network”, Journal of Theoretical Biology, DOI:10.1016/j.jtbi.2020.110278.
  15. Deesh, A.D.; Jokhan, A.D.; Joshi, R.C.; Khan, M.G.M. and Jerard, B.A. (2020) “Seasonal abundance and host plants of coconut stick insect (Graeffea crouanii Le Guillou) in coconut plantations of Fiji Islands”, Journal of Plantation Crops, 48(1), 1-10. DOI: 25081/jpc.2020.v48.i1.6211.
  16. Naiker, M.; Sharma, B.; Wakeling, L.; Johnson, J.B.; Mani, J.; Kumar, B.; Naidu, A.; Khan, M.G.M. and Brown, S. (2020) “Attitudes towards science among senior secondary students in Fiji”, Waikato Journal of Education, 25(1), 57-72. DOI: 10.15663/wje.v25i1.704.
  17. Mamun, K.A.; Islam, F.R.; Haque, R.; Khan, M.G.M.; Prasad, A.N.; Haqva, H.; Mudliar, R.R. and Mani, F.S. (2019) “Smart Water Quality Monitoring System Design and KPIs Analysis: Case Sites of Fiji Surface Water”, Sustainability, 11, 7110, DOI:10.3390/su11247110.
  18. Kutty, S.S.; Khan, M.G.M. and Ahmed, M.R. (2019) “Estimation of different wind characteristics parameters and accurate wind resource assessment for Kadavu, Fiji”, AIMS Energy, 7(6): 760–791. DOI: 10.3934/energy.2019.6.760.
  19. Keremama, M.; Holland, E.; Khan, M.G.M.; Hiriasia, D. and Tahani, L. (2019) “Air temperature trends, variability and extremes across the Solomon Islands: 1951-2011”, Pacific Dynamics: Journal of Interdisciplinary Research, 3(1), 15-32.
  20. Wardah, Wafaa; Khan, M.G.M.; Rashid, M.A. (2019) “Protein secondary structure prediction using neural networks and deep learning: a review”, Computational Biology and Chemistry, Computational Biology and Chemistry 81 (2019) 1–8, DOI:10.1016/j.compbiolchem.2019.107093.
  21. Singh, Krishneel; Khan, M.G.M. and Ahmed, M.R. (2019) “Wind energy resource assessment for Vanuatu with accurate estimation of Weibull parameters”, Energy Exploration & Exploitation, 37(6) 1804–1832, DOI:10.1177/0144598719866897.
  22. Saiyad Kutty, Khan, M.G.M. and Ahmed, M.R. (2019) “Wind energy resource assessment for Suva, Fiji, with accurate Weibull parameters”, Energy Exploration & Exploitation, 37(3) 1009-1038, DOI: 10.1177/0144598719842379.
  23. Islam,L.; Shatabda, S.; Rashid, M.A.; Khan, M.G.M. and Rahman, M.S. (2019) “Protein structure prediction from inaccurate and sparse NMR data using an enhanced genetic algorithm”, Computational Biology and Chemistry, 79, 6-15, https://doi.org/10.1016/j.compbiolchem.2019.01.004.
  24. Chand, A.P.; Khan, M.G.M.; Gienko, G. and Terry, J.P. (2018) “Categorizing Tropical Cyclone Tracks Using Mathematical Programming” The Aligarh Journal of Statistics, 38, 59-82.
  25. Khan, M.G.M. and Wesołowski, Jacek (2018) “Neyman-type sample allocation for domains-efficient estimation in multistage sampling”, AStA Advances in Statistical Analysis, 1-30. https://doi.org/10.1007/s10182-018-00340-2.
  26. Reddy, K.G. and Khan, M.G.M. (2018) “Optimal Stratification in Stratified Designs Using Weibull-distributed Auxiliary Information”, Communications in Statistics – Theory and Methods, 1-17, DOI: 10.1080/03610926.2018.1473609.
  27. Reddy, K.G.; Khan, M.G.M. and Khan, Sabiha (2018) “Optimum Strata Boundaries and Sample Sizes in Health Surveys Using Auxiliary Variables”, PLoS ONE 13(4): e0194787. https://doi.org/10.1371/journal.pone.0194787.
  28. Rao, D.K.; Khan, M.G.M. and Singh, G.K. (2017) “On Calibrated Weights in Stratified Sampling”, Australian and New Zealand Industrial and Applied Mathematics Journal, Vol. 59, pp.C190-C204. doi:10.21914/anziamj.v59i0.12668.
  29. Naidu, P.N., Khan, M.G.M. and Jokhan, A. (2017) “Assessment of Sugarcane Varieties for Their Stability and Yield Potential in Fiji”, The South Pacific Journal of Natural and Applied Sciences, 35(2), 20-32.
  30. Aukitino, Tiaon; Khan, M.G.M. and Ahmed, M.R. (2017) “Wind energy resource assessment for Kiribati with a comparison of different methods of determining Weibull parameters”, Energy Conversion and Management, 151(1), 641–660.
  31. Paul, M.T.; Kimata, J.D. and Khan, M.G.M. (2017) “Purchasing Power Parity Theory and Applications for Solomon Islands”, Journal of Economics and Public Finance, 3(4), 507-530. org/10.22158/jepf.v3n4p507
  32. Reddy, K.G., Khan, M.G.M. and Rao, D.K. (2016) “A Procedure for Computing Optimal Stratum Boundaries and Sample Sizes for Multivariate Surveys”, Journal of Software, 11(8), 816-832, doi: 10.17706/jsw.11.8.816-832.
  33. Khan, M.G.M.; Ahmad, N. and Rafi, L.S. (2016) “Determining the Optimal Allocation of Testing Resource for Modular Software System using Dynamic Programming”. Communications in Statistics – Theory and Methods. 45(3), 670-694, DOI:10.1080/03610926.2013.834455. (Online)
  34. Ahmad, N. and Khan, M.G.M.; (2016) “Determination of the Optimal Allocation of Testing Resource for Modular Software Reliability Growth Using LINGO”, Journal of Software, 11(7): 664-676, DOI: 10.17706/jsw.11.7.664-676.
  35. Khan, M.G.M. and Sharma, Sushita (2015) “Determining Optimum Strata Boundaries and Optimum Allocation in Stratified Sampling”, Aligarh Journal of Statistics, 35, 23-40.
  36. Khan, M.G.M.; Ahmed, Shamsuddin and Prasad, Biman (2015) “Forecasting Exchange Rate of Kina against AUD Using Artificial Neural Network and Time Series Models” International Journal of Business Forecasting and Marketing Intelligence, 2(1), 37-54. 1504/IJBFMI.2015.075342
  37. G.M. Khan; K.G. Reddy and D.K. Rao (2015) “Designing Stratified Sampling in Economic and Business Surveys”, Journal of Applied Statistics. Vol.42(10), 2080-2099, DOI: 10.1080/02664763.2015.1018674.
  38. Varshney, R.; Khan, M.G.M.; Fatima, U. and Ahsan, M.J. (2015) “Integer Compromise Allocation in Multivariate Stratified Surveys”, Annals of Operations Research, 226(1), 659–668, DOI # 10.1007/s10479-014-1734-z.

Rahul, V.; Khan, M.G.M.; Fatima, U. and Ahsan, M.J. (2014) “Integer Compromise Allocation in Multivariate Stratified Surveys”, Annals of Operations Research, 221, DOI # 10.1007/s10479-014-1734-z. (Online)

  1. Khan, M.G.M.; Rao, Dinesh; Ansari, A.H. and Ahsan, M.J. (2015) “Determining Optimum Strata Boundaries and Sample Sizes for Skewed Population using
    Log-normal Distribution”. Communications in Statistics – Simulation and Computation, 44(5), 1364-1387, DOI # 10.1080/03610918.2013.819917.

Khan, M.G.M.; Rao, Dinesh; Ansari, A.H. and Ahsan, M.J. (2014) “Determining Optimum Strata Boundaries and Sample Sizes for Skewed Population using
Log-normal Distribution”. Communications in Statistics – Simulation and Computation, DOI # 10.1080/03610918.2013.819917 (Online Version).

  1. Fonolahi, A.V.; Khan, M.G.M. and Jokhan, A. (2014) “Are students studying in the online mode faring as well as students studying in the face-to-face mode? Has equivalence in learning been achieved?”. Journal of Online Learning and Teaching, 10(4), 598-609.
  2. Khan, M.G.M.; Prasad, V.D and Rao, D.K. (2014) “Optimum Stratification Using Auxiliary Variables”, The Aligarh Journal of Statistics, 34, 85-104.
  3. Khan, M.G.M.; Prasad, V.D and Rao, D.K. (2014) “On Optimum Stratification”, World Academy of Science, Engineering and Technology: International Journal of Mathematical, Computational Science and Engineering, 8(3), 1-5.
  4. Rao, D.K.; Khan, M.G.M. and Reddy, K.G. (2014) “Optimum Stratification of a Skewed Population”, World Academy of Science, Engineering and Technology: International Journal of Mathematical, Computational Science and Engineering, 8(3), 1-4.
  5. Ahmad, N.; Khan, S. and Khan, M.G.M. (2013) “Planning Accelerated Life Tests for Burr Type X Failure Model with Type I Censoring”. Journal of Statistical Theory and Applications. 12(3), 266-287.
  6. Ahmed, Shamsuddin; Khan, M.G.M.; Prasad, Biman and Prasad, Avlin (2013),  “Forecasting Tala-AUD Using Times Series and Artificial Neural Network Model”, World Academy of Science, Engineering and Technology, Issue 77, 144-151.
  7. Ahmed, Shamsuddin; Khan, M.G.M.; Prasad, Biman and Prasad, Avlin (2013),  “Forecasting Tala-AUD and Tala-USD Exchange Rates with ANN”, World Academy of Science, Engineering and Technology, Issue 78, 276-284.
  8. Deesh, Aradhana D., Swamy, Bal N. and Khan, M.G.M. (2013) “Distribution of coconut stick insect, Graeffea crouanii and its parasitoids in selected islands of Fiji”, Fiji Agriculture Journal, 53 (1) , 18-24.
  9. Khan, M.G.M., Ahmad, N. and Prasad, V.D. (2012) “Optimal Compromise Allocation in Two-stage and Stratified Two-stage Sampling Designs for Multivariate Study” Journal of Applied Statistical Science, 20 (2). 187-197.
  10. Rao, Dinesh; Khan, M.G.M. and Khan, Sabiha (2012), “Mathematical Programming on Multivariate Calibration Estimation in Stratified Sampling”, World Academy of Science, Engineering and Technology, 72, 78-82.
  11. Varshney, R.; Ahsan, M.J. and Khan, M.G.M. (2011) “An Optimum Multivariate Stratified Sampling Design with Nonresponse: A Lexicographic Goal Programming Approach” Journal of Mathematical Modelling and Algorithms, 10(4), 393-405, DOI: 10.1007/s10852-011-9164-2.
  12. Ahmad, N.; Khan, M.G.M. and Rafi, L.S. (2011) “Analysis of an Inflection S-shaped Software Reliability Model Considering Log-logistic Testing-Effort and Imperfect Debugging”, International Journal of Computer Science and Network Security, 11(1), 161-171.
  13. Ahmad, N.; Khan, M.G.M.; Quaddri, S. M. K. and Kumar, M. (2011) “Software Reliability Growth Models Incorporating Burr Type III Test-Effort and Cost-reliability Analysis”, International Journal of Computer Science and Information Technologies, 2 (1), 555-562.
  14. Khan, M.G.M.; Maiti, T. and Ahsan, M.J. (2010) “An Optimal Multivariate Stratified Sampling Design using Auxiliary Information: An Integer Solution using Goal Programming Approach”, Journal of Official Statistics, 26(4), 695-708.
  15. Khan, M.G.M.; Khowaja, S.; Ghufran, S.; Varshney, R. and Ahsan, M.J. (2010) “A Comparative Study of Various Compromise Criteria in Multiple Qualitative Response Stratified Sampling” Journal of Statistics Sciences, 2(1), 1-12.
  16. Ahmad, N., Khan, M.G.M. and Rofi, L.S. (2010) “A Study of Testing-Effort Dependent Inflection S-Shaped Software Reliability Growth Models with Imperfect Debugging” International Journal of Quality and Reliability Management, 27(1), 89-110. DOI: 1108/02656711011009335
  17. Khan, M.G.M.; Ahmad, N. and Khan, Sabiha (2009) “Determining the Optimum Stratum Boundaries using Mathematical Programming”, Journal of Mathematical Modelling and Algorithms”, 8(4), 409-423, DOI 1007/s10852-009-9115-3.
  18. Nand, N. and Khan, M.G.M. (2009) “Optimum Stratification for Cauchy and Power Type Study Variables,” Journal of Applied Statistical Science, 16(4), 453-462.
  19. Ahmad, N.; Khan, M.G.M.; Quaddri, S. M. K. and Kumar, M. (2009) “Modeling and Analysis of Software Reliability with Burr Type X Testing-Effort and Release-Time Determination” Journal of Modelling in Management, 4(1), 28-54.
  20. Ahsan, M.J.; Nujmussehar and Khan, M.G.M. (2009) “Mixed Allocation for Fixed Precision”, Pure and Applied Mathematika Sciences, 69(1-2), 93-103.
  21. Khan, M.G.M.; Nand, N. and Ahmad, N. (2008) “Determining the Optimum Strata Boundary Points using Dynamic Programming,” Survey Methodology, 34(2), 205-214.
  22. Ahmad, N.; Bokhari, M.U.; Quadri, S.M.K. and Khan, M.G.M. (2008)The Exponentiated Weibull Software Reliability Growth Model with Various Testing-efforts and Optimal Release Policy: A Performance Analysis” International Journal of Quality and Reliability Management, 25 (2), 211-235.
  23. Khan, M.G.M.; Khan, E.A. and Ahsan, M.J. (2008) “Optimum Allocation in Multivariate Stratified Sampling in Presence of Non-response,” Journal of the Indian Society of Agricultural Statistics, 62(1), 42-48.
  24. Khan, M.G.M.; Najmussehar and Ahsan, M.J. (2005) “Optimum Stratification for Exponential Study Variable under Neyman Allocation”, Journal of the Indian Society of Agricultural Statistics, 59(2), 146-150.
  25. Ahsan, M.J.; Nujmussehar and Khan, M.G.M. (2005) “Mixed Allocation in Stratified Sampling”, The Aligarh Journal of Statistics, 25, 1-11.
  26. Khan, M.G.M.; Khan, E.A. and Ahsan, M. J. (2003) “An Optimal Multivariate Stratified Sampling Design Using Dynamic Programming”, Australian & New Zealand Journal of Statistics, 45(1), 107-113.
  27. Khan, E.A.; Khan, M.G.M. and Ahsan, M. J. (2003) “On Compromise Allocation in Multivariate Stratified Sampling”, The Aligarh Journal of Statistics, 23, 31-47.
  28. Khan, M.G.M. and Ahsan, M.J. (2003) “A Note on Optimum Allocation in Multivariate Stratified Sampling”, The South Pacific Journal of Natural Science, 21, 91-95. https://doi.org/10.1071/SP03017
  29. Khan, E.A.; Khan, M.G.M. and Ahsan, M.J. (2002) “Optimum Stratification: A Mathematical Programming Approach”, Calcutta Statistical Association Bulletin, 52, 323-334. https://doi.org/10.1177/0008068320020518.
  30. Jahan, N.; Khan, M.G.M. and Ahsan, M.J. (2001) “Optimum Compromise Allocation Using Dynamic Programming”, Dhaka University Journal of Science, 49(2), 197-202.
  31. Khan, M.G.M.; Jahan, N. and Ahsan, M.J. (1997) “Determining the Optimum Cluster Size.” Journal of the Indian Society of Agricultural Statistics, 50 (2), 121-129. http://isas.org.in/jsp/volume/vol50/issue2/M.G.M.Khan.pdf
  32. Khan, M.G.M.; Ahsan, M. J. and Jahan, N. (1997) “Compromise allocation in Multivariate Stratified Sampling: An Integer Solution,” Naval Research Logistics, 44, 69-79. https://doi.org/10.1002/(SICI)1520-6750(199702)44:1<69::AID-NAV4>3.0.CO;2-K
  33. Khan, M.G.M.; Khan, E.A. and Jahan, N. (1995-96) “Optimum Number of Strata for Surveys with Small Sample Size,” The Aligarh Journal of Statistics, 15&16, 27-34.
  34. Jahan, N.; Khan, M.G.M. and Ahsan, M.J. (1994), “A Generalized Compromise Allocation,” Journal of Indian Statistical Association, 32, 95-101.

Conferences:

  1. Chand, R.; Valluri, M. and Khan, M.G.M. (2021) “Digital Signature Scheme over Lattices”, IEEE 25th International Conference on Circuits, Systems, Communications and Computers (CSCC), 19-22 July 2021, DOI: 1109/CSCC53858.2021.00021
  2. Singh, K.A.; Kutty, S.S.; Khan, M.G.M. and Ahmed, M.R. (2021) “Wind Energy Resource Assessment for Suva, Fiji and Design of a 30 kW Wind Turbine”, International Mechanical Engineering Congress & Exposition (IMECE2021), 1-5 November 2021. (Accepted)
  3. Goundar, S.; Khan, M.G.M. and Reddy, K.G. (2021) “Finding the drivers for ERP systems uptake in SMEs – an exploratory multiple-cse study of selected Fijian companies”, IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE 2021)/International Conference on Sustainable Technology and Engineering 2021 (i-COSTE 2021), 08-10th Dec, 2021, Brisbane, Australia.
  4. Arzu, A.; Ahmed, M.R. and Khan, M.G.M. (2020) “Wind Speed Forecasting using Regression, Time Series and Neural Network Models: A Case Study of Suva”, 22nd Australasian Fluid Mechanics Conference, Brisbane, Australia, 7-10 December 2020. DOI: 10.14264/ccee311.
  5. Kumar, A.; Ahmed, M.R. and Khan, M.G.M. (2020) “Time-Variations of Wave-Energy and Forecasting Power Availability using Different Techniques”, 22nd Australasian Fluid Mechanics Conference, Brisbane, Australia, 7-10 December 2020. DOI: 10.14264/d97a9ed.
  6. Sharma, P; Chaudhary, K.; Khan, M.G.M. and Wagner, M. (2019) “Ransomware Noise Identification and Eviction Through Machine Learning Fundamental Filters”, IEEE Proceedings of 6th Asia-Pacific Conference on Computer Science and Data Engineering (IEEE CSDE), 09-11th Dec. 2019, CQUniversity, Melbourne, Australia. DOI: 1109/CSDE48274.2019.9162376.
  7. Singh, K.A.; Kutty, S.S.; Khan, M.G.M. and Ahmed, M.R. (2019) “Wind Energy Resource Assessment for Tokelau with Accurate Weibull Parameters”, 9th International Conference on Power and Energy Systems (ICPES), Perth, Australia, December 10-12, 2019. DOI: 1109/ICPES47639.2019.9105429.
  8. Tekabu, T.B.; Rao, D.K.; Chand, R. and Khan, M.G.M. (2018) Forecasting Sea Surface Temperature in the Kiribati Region, IEEE Proceedings of 2018 5th  Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE), 276-282, DOI: 1109/APWConCSE.2018.00052.
  9. Chand, R.; Rao, D.K.; Tekabu, T.B. and Khan, G.M. (2018) Modeling Breast Cancer Cases in Fiji, IEEE Proceedings of 2018 5th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE), 283-290, DOI: 10.1109/APWConCSE.2018.00053.
  10. Arzu, A.; Kutty, S.S.; Ahmed, M.R. and Khan, M.G.M. (2018) “Wind Speed Forecasting using Regression, Time Series and Neural Network Models: a Case Study of Kiribati”, 21st Australasian Fluid Mechanics Conference, Adelaide, Australia, 10-13 December 2018.
  11. Kutty, S.S.; Ahmed, M.R. and Khan, M.G.M. (2018) “Wind Characteristics during Cyclones in Suva, Fiji, for the Last Six Cyclone Seasons”, 21st Australasian Fluid Mechanics Conference, Adelaide, Australia, 10-13 December 2018.
  12. Reddy, K.G. and Khan, M. G. M. (2017) “Stratification of Univariate Populations – Does Distribution Matter?” IEEE Proceedings of 2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE), 13-18, DOI: 1109/APWConCSE.2017.00035.
  13. Lata, A.S.; Rao, D.K. and Khan, M.G.M. (2017) “Calibration estimation using proposed distance function”, IEEE Proceedings of 2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE), 162 – 166, DOI: 1109/APWConCSE.2017.00037.
  14. Rao, D.K.; Tekabu, T. and Khan, M.G.M. (2016) “New calibration estimators in stratified sampling”, IEEE Proceedings of 2016 3rd Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE), 66-70. DOI: 1109/APWC-on-CSE.2016.022.
  15. Reddy, Emmenual; Reddy, Pritika; Sharma, Bibhya; Reddy, Karuna and Khan, M.G.M. (2016) “Student Readiness and Perception to the Use of Smart Phones for Higher Education in the Pacific”, IEEE Proceedings of 2016 3rd Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE), 258-264. DOI: 1109/APWC-on-CSE.2016.049.
  16. Kimata, J.D.; Khan, G. M. and Paul, M.T. (2015): Forecasting exchange rate of Solomon Islands dollar against Euro using artificial neural network, IEEE Proceedings of 2015 2nd Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE), 1-12, DOI: 10.1109/APWCCSE.2015.7476219.
  17. Naidu, P.N.; Khan, G. M. and Jokhan, Anjeela (2015): Stability analysis in elite sugarcane varieties of Fiji, IEEE Proceedings of 2015 2nd Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE), 1-5, DOI: 10.1109/APWCCSE.2015.7476239.
  18. Qiokata, Viliame and Khan, G. M. (2015): Modeling emigration of Fiji’s population using Artificial Neural Network, IEEE Proceedings of 2015 2nd Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE), 1-8, DOI: 10.1109/APWCCSE.2015.7476240.
  19. Rao, D.K; Khan, G. M. and Reddy, K.G. (2015): Stratified calibration estimator of population mean using multi-auxiliary information, IEEE Proceedings of 2015 2nd Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE), 1-5, DOI: 10.1109/APWCCSE.2015.7476233.
  20. Sharma, Sushita and Khan, M.G.M. (2015): Determining optimum cluster size and sampling unit for multivariate study, IEEE Proceedings of 2015 2nd Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE), 1-4, DOI: 1109/APWCCSE.2015.7476238.
  21. Reddy, K.G. ; Khan, M.G.M. and Rao, D.K. (2014): Computing optimal stratum boundaries for multivariate surveys, IEEE Proceedings of 2014 Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE), 1-7, DOI:1109/APWCCSE.2014.7053866.
  22. Fonolahi, Aluwesi V.; Khan, M.G.M. (2014) “Determining the Optimum Strata Boundaries with Constant Cost Factor”, IEEE Proceedings of 2014 Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE), 1-6, DOI: 1109/APWCCSE.2014.7053874
  23. Qiokata, Viliame and Khan, M.G.M. (2014) “Artificial Neural Network and Regression Models for Predicting Fiji Population”, IEEE Proceedings of 2014 Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE), 1-7, DOI: 1109/APWCCSE.2014.7053850
  24. Singh, Gurmindar; Rao, Dinesh and Khan, M. G. M. (2014) “Calibration Estimator of Population Mean in Stratified Sampling”, IEEE Proceedings of 2014 Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE), 1-5, DOI: 1109/APWCCSE.2014.7053875
  25. Ahmad, N.; Khan, M.G.M.; Faizul Islam, S. (2012), “Optimal allocation of testing resource for modular software based on testing-effort dependent software reliability growth” IEEE Proceedings of 2012 International Conference on Computing Communication & Networking Technologies, IEEE Computer Society, DOI: 1109/ICCCNT.2012.6395885, pages 1-7.
  26. Khan, M.G.M., Ahmad, N. and Rafi, L.S. (2008) “Optimal Testing Resource Allocation for Modular Software Based on a Software Reliability Growth Model: a Dynamic Programming Approach” IEEE Proceedings of 2008 International Conference on Computer Science and Software Engineering, 2, 759-762. IEEE Computer Society. DOI: 10.1109/CSSE.2008.1394.

Chapters:

  1. Goundar, S., Reddy, K., Khan, M.G.M. (2024). A Logistic Regression Classification Model to Predict ERP Systems Adoption by SMEs in Fiji. In: Liu, F., Sadanandan, A.A., Pham, D.N., Mursanto, P., Lukose, D. (eds) PRICAI 2023: Trends in Artificial Intelligence. PRICAI 2023. Lecture Notes in Computer Science(), vol 14327. Springer Nature, Singapore. https://doi.org/10.1007/978-981-99-7025-4_38
  2. Masar Al-Rabeeah, Ali Al-Hasani and M.G.M. Khan (2021) “Quadratic Programming Approach for the Optimal Multi-objective Transportation Problem” Optimal Decision Making in Operations Research & Statistics: Methodologies and Applications (Edited by Ali et al.), 302-307, CRC Press, ISBN 9780367618759.
  3. Sharma, P.; Chaudhary, K. and Khan, M.G.M. (2021) “The Art-of-Hyper-Parameter Optimization with Desirable Feature Selection”, Lecture Notes in Electrical Engineering, Springer Nature, Singapore. DOI: 10.1007/978-981-16-3880-0_23.
  4. Sharma, P; Chaudhary, K.; Wagner, M. and Khan, M.G.M. (2021) “A Comparative Analysis of Malware Anomaly Detection”, Advances in Computer, Communication and Computational Sciences (Edited by S.K. Bhatia et al.), Advances in Intelligent Systems and Computing, 1158, 35-44, Springer Nature Singapore Pte Ltd, DOI: 10.1007/978-981-15-4409-5_3.
  5. Kimata, J.D.; M.G.M.; Sharma, A.; Rashid, M. and Tokaua, T. (2019) “Forecasting of Currency Exchange Rate Using Artificial Neural Network: A Case Study of Solomon Island Dollar”, PRICAI 2019: Trends in Artificial Intelligence: 16th Pacific Rim International Conference on Artificial Intelligence (edited by Abhaya C. Nayak, Alok Sharma), Springer Nature Switzerland AG 2019, 729-733, DOI: 10.1007/978-3-030-29894-4_58.
  6. Ahmad, N.; Khan, M.G.M. and Rafi, L. S. (2010), “Software Reliability Modeling Incorporating Log-Logistic Testing-Effort with Imperfect Debugging” Proceedings of the International Conference on Modeling, Optimization and Computing (ICMOC 2010), edited by S. Paruya, S. Kar and S.Roy, American Institute of Physics, NY, Vol. 1298, pp 651- 657.
  7. Khan, M.G.M.; Khan, E.A. and Jahan, N. (1998) “Determining the Optimum Number of Strata-II,” Frontiers in Probability and Statistics (Edited by K. Mukherjee, S.K. Basu and B.K. Sinha), Narosa Publishing House, New Delhi, 215-225. India.
  1. Reddy, K.G. and Khan, M. G. M. (2016) “Optimal Stratification of Univariate Populations via stratifyR Package”. In JSM Proceedings of the American Statistical Association, Statistical Computing Section. Alexandria, VA: 3980-3989.
  2. Khan, M.G.M.; Chand Munish A. and Ahmad, Nesar (2006) “Optimum Allocation in Two-stage and Stratified Two-stage Sampling for Multivariate Surveys” 2006 Proceedings of the American Statistical Association, Survey Research Methods Section, American Statistical Association, Alexandria, VA, 3215-3220. U.S.A.
  3. Khan, M.G.M.; Jahan, N. and Ahsan, M.J. (1995) “On Optimum Choice of the Size of the Sampling Unit,” Proceedings of the III International Symposium on Optimization and Statistics, Published by the Department of Statistics and Operations Research, Aligarh Muslim University, Aligarh, India, 74-81. India.
  4. Khan, E.A.; Khan, M.G.M. and Ahsan, M.J. (1993) “Determining the Optimum Number of Strata,” Proceedings of the II International Symposium on Optimization and Statistics, Published by the Department of Statistics and Operations Research, Aligarh Muslim University, Aligarh, India, 74-78. India.
  5. Khan, M.G.M.; Rao, Dinesh; Ansari, A.H. and Ahsan, M.J. (2011) “Determining optimum strata boundaries for skewed population using log-normal distribution” Proceedings of the Annual International Conference on Operations Research and Statistics (ORS 2011), pp.7-9, published by Global Science and Technology Forum (GSTF), ISBN: 978-981-08-8407-9.
  6. Khan, M.G.M. and Sharma, Sushita (2012): On Constructing Optimum Strata and Determining Optimum Allocation, Proceedings of the VII International Symposium on Optimization and Statistics & III National Conference on Statistical Inference, Sampling Techniques and Related Areas, Department of Statistics and Operations Research, Aligarh Muslim University, Aligarh, India, pp 15 – 31.
  7. Ahmad, N.; Khan, M.G.M. and Rafi, L.S. (2008), “Inflection S-Shaped Software Reliability Growth Models with Testing-Effort Functions”, Proceedings of the VI International Symposium on Optimization and Statistics, Department of Statistics and Operations Research, Aligarh Muslim University, Aligarh, India, pp. 151-172.
  8. Quadri, S. M. K., Ahmad, N., and Khan, M. G. M. (2008), “Performance Analysis of Software Reliability Model with Burr Type X Testing-Effort and Release Time”, Proceedings of the 2nd National Conference on Mathematical Techniques: Emerging Paradigms for Electronics and IT Industries, MATEIT-2008, New Delhi, India, 177-187.

Book Review in Journals:

  1. Khan, M.G.M. (2008), Review of “Statistics for Real-Life Sample Surveys: Non-Simple-Random Samples and Weighted Data” The American Statistician, Vol. 62(4), 361-361. DOI: 10.1198/tas.2008.s271.

 

Letter to the Editor:

  1. Khan, M.G.M. (2003) “Letter to the editor”, Rejoinder to letter to the editor from D. Whitaker concerning ‘Khan, M.G.M.; Khan, E.A. & Ahsan, M. J. (2003) An Optimal Multivariate Stratified Sampling Design Using Dynamic Programming’, Australian & New Zealand Journal of Statistics, Vol. 45(4), 503-504.

 

Conference Presentations (Abstract):

  1. Reddy, K.G. and Khan, M. G. M. (2019) “Sample Allocation Scheme for Gamma Populations Based on Survey Cost”, ISI World Statistics Congress 2019, Kula Lumpur, Malaysia during Aug 18-23, 2019.
  2. Dinesh K. Rao and G. M. Khan (2018) “On Calibration Estimation in Stratified Sampling” Tenth International Triennial Calcutta Symposium, India during December 27-30, 2018.
  3. Khan, M. G. M. (2015) “A Bivariate Stratified Sampling Design” at the 9th International Triennial Calcutta Symposium on Probability and Statistics, held at Calcutta University, India during Dec 28-31, 2015.
  4. Rao, D.K.; Khan, M. G. M. and Reddy, K.G. (2015) “Calibration estimator with new distance functions” at the 8th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2015) held at University of London, UK during December 12-14,
  5. Reddy, K.G.; Khan, M. G. M. and Rao, D.K. (2015) “Computation of optimal stratum boundaries using multiple auxiliary variables” at the 8th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2015) held at University of London, UK during December 12-14,
  6. Khan, M. G. M.; Ahmed, S. and Prasad, B. (2013) “Forecasting Exchange Rate of Kina against AUD Using Artificial Neural Network and Time Series Models” Presented at the International Conference on Pure and Applied Mathematics during November 26-28, 2013 at the PNG University of Technology, Lae, Papua New Guinea.
  7. Khan, M. G. M.; Chand, Arti Pratap; Gienko, Gennady and Terry, James P. (2013) “Developing a Technique for Categorizing Tropical Cyclone Tracks in the South Pacific” Presented at the 12th Pacific Science Inter-Congress held during July 8-12, 2013 at the University of the South Pacific, Suva, Fiji.
  8. Ahmed, S.; Khan, M.G.M.; Prasad, B.; and Prasad, A. (2013). “ANN- Based Forecasting of Samoa’s Currency Exchange Rate”, Presented at the 12th Pacific Science Inter-Congress held during July 8-12, 2013 at the University of the South Pacific, Suva, Fiji.
  9. Reddy, K.G. and Khan, M.G.M. (2013) “Construction of Optimum Strata and Determination of Sample Size in Health Survey”, Presented at the 12th Pacific Science Inter-Congress held during July 8-12, 2013 at the University of the South Pacific, Suva, Fiji.
  10. Reddy, Karuna; and Khan, M.G.M. (2011), “Usage of Mathematical Programming for Optimal Health Care” presented at the International Conference for Health Statistics in the Pacific Islands, Suva, Fiji, July 5-8, 2011,
  11. Varshney, R.; Khan, M.G.M.; and Ahsan, M.J. (2011), “An Integer Compromise Allocation” presented at the International Conference organized by the Department of Statistics, Banaras Hindu University, Varanasi, India, January 5-8, 2011.
  12. Khan, M.G.M.; Ghufran, S.; Khowaja, S. and Ahsan, M.J. (2010-11), “An Optimum Multivariate Stratified Sampling Design in Presence of Non-response Using Dynamic Programming” presented at the International Conference on Mathematics of Date, Allahabad, India, December 31, 2010-January 04, 2011.
  13. Khan, M.G.M. and Khan, Sabiha (2010), “Multivariate Calibration Estimator in Stratified Sampling” presented at the First International Conference on Theory and Application of Statistics, Dhaka, Bangladesh, December 26-28, 2010.
  14. Khan, M.G.M.; Reddy, Karuna and Rao, Dinesh (2010), “Optimum stratification of skewed population using Weibull distribution with auxiliary information” presented at the Australian Statistical Conference (ASC 2010), Fremantle, Australia, December 6-10 2010.
  15. Pratap, Arti; Terry, James P.; Gienko, Gennady and Khan, M.G.M. (2009), “Climatic variability: a study of cyclone-track regimes in the tropical South Pacific”, SOPAC: Annual Session, October 21-29, 2009, Vanuatu.
  16. Khan, M.G.M. and Reddy, K. (2009), “Optimum Stratification of Skewed Population using Gamma Distribution and Auxiliary Information” 7th International Triennial Calcutta Symposium, Kolkata, India, December 28-31, 2009.
  17. Khan, M.G.M.; Ahmad, N. and Khan, S. (2008), “Determining Optimum Strata Boundaries using an Auxiliary Variable from Actual Health Population Data,” VI International Symposium on Optimization and Statistics (ISOS-2008), Aligarh Muslim University, Aligarh, India, December 29-31, 2008.
  18. Khan, M.G.M.; Varshney, R.; Khowaja, S.; Ghufran, S; and Ahsan, M.J. (2008), “Compromise Allocation in Multiple Response Stratified Random Sampling using Multiobjective Programming,” VI International Symposium on Optimization and Statistics (ISOS-2008), Aligarh Muslim University, Aligarh, India, December 29-31, 2008.
  19. Khan, M.G.M. and Nand, N. (2005) “Determining the Optimum Strata Boundary Points using Mathematical Programming”, 55th Session of the International Statistical Institute (ISI), Sydney, Australia, April 5-12, 2005.
  20. Nand, N. and Khan, M.G.M. (2005) “Use of Mathematical Programming in Optimum Stratification”, Australia-New Zealand Industrial and Applied Mathematics (ANZIAM 2005), Napier, New Zealan, January 30-February 3, 2005.

Ph.D. Theses Supervision:

  1. Karuna Reddy, Optimum Stratification and Sample Size Allocation in Univariate and Multivariate SurveysAwarded in 2018.
  2. Dinesh Rao, Mathematical Programming in StatisticsAwarded in 2017 with Gold Medal and Prize for Most Outstanding Thesis.
  3. Michael Otoara Ha’apio Analysing aversive strategies to cope with risks from extreme environmental events in the Pacific: a case study in the Solomon Islands (Co-supervisor) – Awarded in 2019.
  4. Milton Keremama, “Solomon Islands: historical and projected temperature and rainfall trends and variability” (Co-supervisor) – Awarded in 2024.

M.Sc./M.A. Theses Supervision:

  1. Niraj Nand, Use of Mathematical Programming in Stratification-Awarded in 2006.
  2. Tebania Tebakabo Tebania, A critical Examination of the Impacts of Selected School factorsAwarded in 2007.
  3. Loriza Shazmin Rafi, Determination of the Optimal Allocation for Testing Resource of a Modular Software based on SRGM Awarded in 2010.
  4. Karuna Reddy, Determining Optimum Stratum Boundary Points Using Auxiliary Variable Awarded in 2011.
  5. Viliame Pita Waqalevu, Developing Efficiency of Capture and Culture Methods of Coral Reef Fish Larvae Awarded in 2011.
  6. Vikashni Devi Prasad, Non Linear Programming in Stratified Random Sampling and Two-Stage SamplingAwarded in 2012.
  7. Arti Pratap, Climatic Variability: A Study of Tropical Cyclone Track Sinuosity in the Southwest Pacific Awarded in 2013.
  8. Milton Keremama, Study on the climate variability of Solomon IslandsAwarded in 2014.
  9. Nirma Narayan, On Multiobjective Linear and Nonlinear Programming ProblemAwarded in 2014.
  10. Aluwesi Ledua Volau, Use of Mathematical Programming in Stratification with cost constraintAwarded in 2015.
  11. Gurmindar Kaur Singh, Calibration Approach for Stratified Sampling Design – Awarded in 2016.
  12. James D Kimata, Forecasting exchange rate of Solomon Islands dollar using artificial neural network and the purchasing power parity theoryAwarded in 2016.
  13. Sushita Sharma, Use Nonlinear Programming in Sampling, Awarded in 2017.
  14. Arieni Arzu, Forecasting of Wind Speed in Fiji Using Artificial Neural NetworkAwarded in 2018.
  15. Aradhana Devi Deesh, Studies on Biological Control of the Coconut Stick Insect (Graeffea crounii) Pest in Fiji (Co-supervisor) – Awarded in 2018.
  16. Anjana Sneh Lata, On Optimum Calibration in Sample SurveysAwarded in 2018.
  17. Sandeep Singh, Developing a spatially adjusted Catch Per Unit Effort (CPUE) index for the Albacore longline fishery in FijiAwarded in 2018.
  18. Amitesh Chandra, Statistical analysis of wind energy potential at Anabar, NauruAwarded in 2019.
  19. Ravinesh Chand, Post-quantum signature schemes over latticesAwarded in 2019.
  20. Viliame Qiokata, A Study on Population Projection and Migration Pattern of Fijian PopulationAwarded in 2020.
  21. Wafaa Wardah, A Deep Learning Approach Towards Predicting Secondary Structure of ProteinsAwarded in 2020.
  22. Saiyad Kutty, Wind and Solar Energy Resource Assessments for Suva, Kadavu and Tonga IslandsAwarded in 2020.
  23. Krishneel Singh, Wind and Solar Energy Resource Assessment for Vanuatu, Cook Islands (2 sites) and Tokelau (2 sites)Awarded in 2020.
  24. Gabiriele Bulivou, A New Method of Clustering for Univariate Problems Using a Stochastic Approach Awarded in 2021.
  25. Avikesh Kumar, Study in time variations of wave energy and forecasting power availability using different techniquesAwarded in 2023.
  26. Lawal Olarotimi Badru, Intelligent Education Management Information System (IEMIS) for FijiAwarded in 2023
  27. Kaushal Neelam Devi, A study on anxiety in mathematics in school students in FijiAwarded in 2024
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