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Dr.-Sajal-Saha

Dr. Sajal Saha 

Associate Professor and Director, Miyan Research Institute

PhD (USM, Malaysia), Post Doc (Universiti Sains Malaysia), MS in Applied Mathematics (DU), BSc Hons in Mathematics (DU)

Room # Miyan Research Institute |   Ext # 217
E-mail: sajal.saha@iubat.edu

Dr Sajal Saha received his PhD from the School of Mathematical Sciences, Universiti Sains Malaysia (USM), Penang, Malaysia. He completed his B.Sc (Honours) in Mathematics and M. Sc in Applied Mathematics from the University of Dhaka, Bangladesh and secured first class in both. In addition to his PhD period, he also taught several mathematics courses to the undergraduate students at School of Mathematical Sciences, Universiti Sains Malaysia (USM), from 2016 to 2018.

He is now working as an Associate Professor in the Department of Mathematics, IUBAT‒International University of Business Agriculture and Technology, Dhaka, Bangladesh. He joined IUBAT in 2012 as a lecturer. He is the Director of the Miyan Research Institute, which is formed by the name of Prof. Dr M AlimullahMiyan, founder Vice-Chancellor of IUBAT, to encourage faculty members and students in research. Dr Saha has a good number of publications in international journals having good Impact Factors. Dr Saha has been reviewing research papers of renowned journals and working as an Associate Editor of the IUBAT Review ‒ A Multidisciplinary Academic Journal. He is a life member of the Bangladesh Mathematical Society.

PhD (USM, Malaysia)
Post Doc (Universiti Sains Malaysia)
MS in Applied Mathematics (DU)
BSc Hons in Mathematics (DU)

PUBLICATIONS

    1. Saha, S., Khoo, M. B.C., Mim, F. N., Chatterjee, K., Yeong, W. C. (2024). Variable Parameters t Chart − An Application in Automobile Engine Piston Rings Manufacturing Process, International Journal of Reliability, Quality and Safety Engineering, org/10.1142/S0218539324500347. (Indexed: ESCI, Scopus)
    2. Haizhen, Z., Khoo, M. B. C., Babatunde, O. T., &Saha, S. (2024). Effects of measurement errors on semicircle control chart. Quality Engineering,org/10.1080/08982112.2024.2409457(Indexed: SCIE, Scopus)
    3. Babatunde, O. T., Khoo, M. B.C, Saha, S., & Yeong, W. C. (2024). Optimal triple sampling charts for autocorrelated processes. Computers & Industrial Engineering, 194, 110347.(Indexed: SCIE, Scopus)
    4. Mahmood, Y., Khoo, M. B.C, Teh, S. Y., Saha, S., & Teoh, W. L. (2024). Triple sampling control chart for gamma process. International Journal of Production Research, 62(23), 8326-8351. (Indexed: SCIE, Scopus)
    5. Zafar, R. F., Khoo, M. B., You, H. W., Saha, S., & Yeong, W. C. (2024). A partitioned weighted moving average control chart. Journal of Applied Statistics,org/10.1080/02664763.2024.2392122. (Indexed: SCIE, Scopus)
    6. Ng, P. S., Yeong, W. C., Saha, S., Lim, S. L., & Lau, W. K. (2024). Auxiliary information based HEWMA chart using variable sampling interval. Quality & Quantity,58, 4301–4329.(Indexed: Scopus)
    7. Saha, S., Ng, W. C., Khoo, M. B.C, & Abubakar, S. S. (2024). On the performances of the and EWMA charts with auxiliary information for monitoring the process mean in short production runs. Communications in Statistics-Simulation and Computation, 53(2), 1007-1019.(Indexed: SCIE, Scopus)
    8. Babatunde, O. T., Khoo, M. B.C., Saha, S., &Godase, D. G. (2024). Monitoring the mean of autocorrelated data with long memory from cable production using one‐sided runs rules schemes with ARFIMA (1, d, 1) model. Quality and Reliability Engineering International, 40(4), 1811-1832.(Indexed: SCIE, Scopus)
    9. Saha, S., Khoo, M. B.C., Mim, F. N., Ng, T. F., & Khaw, K. W. (2023). Side sensitive group runs tchart and its application in manufacturing. Communications in Statistics-Simulation and Computation, 52(9), 4036-4051.(Indexed: SCIE, Scopus)
    10. Chew, Y.Y., Khoo, M. B.C, Khaw, K. W., Lee, M. H., &Saha, S. (2023). Optimal designs of variable sample size control chart for monitoring the multivariate coefficient of variation in short production runs. Communications in Statistics-Simulation and Computation, doi.org/10.1080/03610918.2023.2251727.(Indexed: SCIE, Scopus)
    11. Ong, K., Teh, S., Saha, S., Khoo, M.B.C., & Soh, K. (2023). Optimal design of S2‐EWMA control chart for short production runs. Quality and Reliability Engineering International, 39(7), 2881-2904.(Indexed: SCIE, Scopus)
    12. Parvin, R., Khoo, M. B.C., Saha, S., & Teoh, W. L. (2023). Proposed variable sampling interval maximum EWMA and distance EWMA charts with unknown process parameters. Stat, 12(1), e605.(Indexed: SCIE, Scopus)
    13. Loo, W. C., Malik, E. F., Chew, X. Y., Khaw, K. W., Saha, S., Lee, M. H., &Akasheh, M. A. (2023). A Proposed Hybrid GA-TDDPL-CNN-LSTM Architecture for Stock Trend Prediction. International Journal of Intelligent Systems and Applications in Engineering, 11(3), 653–664.(Indexed: Scopus)
    14. Saha, S., Mukherjee, A., & Khoo, M. B. C. (2022). Two CUSUM schemes for simultaneous monitoring of unknown parameters of a shifted exponential process and its application in monitoring of call durations in telemarketing. Quality Technology & Quantitative Management, 19(1), 113-137.(Indexed: SCIE, Scopus)
    15. Saha, S., Khoo, M. B. C., Abubakar, S. S., Das, U. K., & Lee, M. H. (2022). A new EWMA median chart with measurement errors in short production runs–An application in yogurt cup filling process. Quality and Reliability Engineering International, 38(4), 1994-2014.(Indexed: SCIE, Scopus)
    16. Mahmood, Y., Khoo, M. B. C., Teh, S. Y., &Saha, S. (2022). On designing TEWMA-Tukey control charts for normal and non-normal processes using single and repetitive sampling schemes. Computers & Industrial Engineering, 170, 108343.(Indexed: SCIE, Scopus)
    17. Khoo, M. B. C., Saha, S.,Teh, S. Y., Haq, A., & Lee, H. C. (2022). The median control chart for process monitoring in short production runs. Communications in Statistics-Simulation and Computation, 51(10), 5816-5831.(Indexed: SCIE, Scopus)
    18. Mim, F. N., Khoo, M. B. C., Saha, S.,& Haq, A. (2022). New run sum t charts with variable sampling intervals for process mean. Communications in Statistics-Simulation and Computation, 51(9), 5350-5372.(Indexed: SCIE, Scopus)
    19. Abubakar, S. S., Khoo, M. B. C., Saha, S., Umar, A. A., & Yeong, W. C. (2022). Run sum ratio chart when measurement errors are present. Quality and Reliability EngineeringInternational,38(8), 4049-4072. (Indexed: SCIE, Scopus)
    20. Mim, F. N., Khoo, M. B. C., Saha, S., & Castagliola, P. (2022). Revised triple sampling X̄ control charts for the mean with known and estimated process parameters. International Journal of Production Research, 60(16), 4911-4935.(Indexed: SCIE, Scopus)
    21. Ng, P. S., Khoo, M. B. C., Saha, S.,& Lee, M. H. (2022). A variable sampling interval EWMA t chart with auxiliary information–A robustness study in the presence of estimation error. Alexandria Engineering Journal, 61(8), 6043-6059.(Indexed: SCIE, Scopus)
    22. Ayyoub, H. N., Khoo, M. B. C., Saha, S.,& Lee, M. H. (2022). Variable sampling interval EWMA chart for multivariate coefficient of variation. Communications in Statistics-Theory and Methods, 51(14), 4617-4637.(Indexed: SCIE, Scopus)
    23. Yeong, W. C., Lim, S. L., Chong, Z. L., Khoo, M. B. C., &Saha, S. (2022). A side-sensitive synthetic chart for the multivariate coefficient of variation. Plos one, 17(7), e0270151.(Indexed: SCIE, Scopus)
    24. Abubakar, S. S., Khoo, M. B. C., Saha, S., & Teoh, W. L. (2022). Run sum control chart for monitoring the ratio of population means of a bivariate normal distribution. Communications in Statistics-Theory and Methods, 51(13), 4559-4588.(Indexed: SCIE, Scopus)
    25. Umar, A. A., Khoo, M. B. C., Saha, S.,& Haq, A. (2022). Effect of measurement errors on triple sampling  Quality and Reliability Engineering International, 38(4), 1886-1908.(Indexed: SCIE, Scopus)
    26. Ng, P. S., Khoo, M. B. C., Saha, S.,& Yeong, W. C. (2022). Economic and economic-statistical designs of auxiliary information based  , synthetic and EWMA charts. Communications in Statistics-Simulation and Computation, 51(3), 1157-1185.(Indexed: ISI, Scopus)
    27. Mim, F. N., Khoo, M. B. C., Saha, S., & Khaw, K. W. (2022). A side-sensitive group runs median control chart with measurement errors. Communications in Statistics-Simulation and Computation, 52(4), 1660-1678.(Indexed: SCIE, Scopus)
    28. Ali, S., Khoo, M. B. C., Kashif, M., Javed, Z., &Saha, S. (2022). Constructing Bootstrap Confidence Intervals of Process Capability Indices for a Three Parameter Weibull Distribution. MATEMATIKA: Malaysian Journal of Industrial and Applied Mathematics, 21-32.(Indexed: ESCI)
    29. Saha, S., Khoo, M. B. C., Castagliola, P. & Haq, A. (2021). Side sensitive modified group runs charts for monitoring the coefficient of variation with and without measurement errors. Quality and Reliability Engineering International. 37 (2), 598-617.(Indexed: SCIE, Scopus)
    30. Zafar, R. F., Khoo, M. B. C., Saha, S.,& Chong, Z. L. (2021). Progressive mean control chart is not a special case of an exponentially weighted moving average control chart. Quality and Reliability Engineering International, 37(6), 2329-2333.(Indexed: SCIE, Scopus)
    31. Chong, N. L., Khoo, M. B. C., Castagliola, P., Saha, S., &Mim, F. N. (2021). A variable parameters control chart with auxiliary information for monitoring the process mean. Quality Engineering.33 (2), 252-270.(Indexed: SCIE, Scopus)
    32. Ng, P. S., Khoo, M. B. C., Yeong, W. C., Saha, S.,& Chew, X. (2021). Economic and economic‐statistical designs of the side sensitive group runs chart with auxiliary information. Quality and Reliability Engineering International, 37(5), 1965-1995.(Indexed: SCIE, Scopus)
    33. Khatun, M., Khoo, M. B. C., Saha, S., & Castagliola, P. (2021). A New Distribution-free Adaptive Sample Size Control Chart for a Finite Production Horizon and its Application in Monitoring Fill Volume of Soft Drink Beverage Bottles.Applied Stochastic Models in Business and Industry. 37 (1), 84-97.(Indexed: SCIE, Scopus)
    34. Abubakar, S. S., Khoo, M. B. C., Saha, S.,& Lee, M. H. (2021). A new exponentially weighted moving average chart with an adaptive control scheme for high yield processes—An application in injection molding process. Quality and Reliability Engineering International, 37(2), 527-540. (Indexed: SCIE, Scopus)
    35. Khaw, K.W., Chew, X. Y., Lee, M. H., Yeong, W. C., &Saha, S. (2021). One-sided 4-out-of-5 Run Rules Charts for the Multivariate Coefficient of Variation in the Finite Horizon Process. WSEAS Transactions on Mathematics 20, 455-460. (Indexed: Scopus)
    36. Umar, A. A., Khoo, M. B. C., Saha, S., & Chong, Z. L. (2021). Auxiliary Information Based Variable Sampling Interval EWMA Chart for Process Mean Using Expected Average Time to Signal. International Journal of Mathematics andComputer Science, 16(3), 935-948. (Indexed: Scopus)
    37. Ayyoub, H. N., Khoo, M. B. C., Saha, S.& Castagliola, P. (2020). Multivariate coefficient of variation charts with measurement errors. Computers & Industrial Engineering, 147, 106633.(Indexed: SCIE, Scopus)
    38. Umar, A. A., Khoo, M. B. C, Saha, S., & Haq, A. (2020). A combined variable sampling interval and double sampling control chart with auxiliary information for the process mean. Transactions of the Institute of Measurement and Control, 42(6), 1151-1165. (Indexed: SCIE, Scopus)
    39. Ng, P. S., Khoo, M. B. C., Saha, S.&Teh, S. Y (2020). Run Sum Chart for the Mean with Auxiliary Information. Journal of Testing and Evaluation, 48(2), 1554-1575.(Indexed: SCIE, Scopus)
    40. Saha, S., Khoo, M. B. C., Ng, P. S., & Chong, Z. L. (2019). Variable sampling interval run sum median charts with known and estimated process parameters. Computers & Industrial Engineering, 127, 571-587. (Indexed: SCIE, Scopus)
    41. Saha, S., Khoo, M. B. C., Lee, M. H., & Haq, A. (2019). A variable sample size and sampling interval control chart for monitoring the process mean using auxiliary information. Quality Technology and Quantitative Management, 16(4), 389 - 406. (Indexed: SCIE, Scopus)
    42. Khoo, M. B., Saha, S., Lee, H. C., & Castagliola, P. (2019). Variable sampling interval exponentially weighted moving average median chart with estimated process parameters. Quality and Reliability Engineering International, 35(8), 2732-2748. (Indexed: SCIE, Scopus)
    43. Mim, F. N., Saha, S., Khoo, M. B. C. & Khatun, M. (2019). Side-sensitive Modified Group Runs Control Chart with Auxiliary Information to Detect Process Mean Shifts. Pertanika Journal of Science and Technology,27(2), 847-866. (Indexed: Scopus)
    44. Saha, S., Khoo, M. B. C., Lee, M. H., & Castagliola, P. (2018). A side-sensitive modified group runs double sampling (SSMGRDS) control chart for detecting mean shifts. Communications in Statistics-Simulation and Computation, 47(5), 1353-1369. (Indexed: SCIE, Scopus)
    45. Saha, S., Khoo, M. B. C., Teoh, W. L., & Lee, M. H. (2017). Run sum control chart with estimated process parameters. Quality and Reliability Engineering International, 33(8), 1885-1899. (Indexed: SCIE, Scopus)
    46. You, H. W., Khoo, M. B. C., Lee, M. H., Castagliola, P., &Saha, S. (2017). Optimal design of exponentially weighted moving average–chart for the mean with estimated process parameters. Communications in Statistics-Theory and Methods, 46(22), 11077-11090. (Indexed: SCIE, Scopus)
    47. Halim, M. A., Saha, S.& Islam, M. S. (2014). Riemannian Geometry and Multilinear Tensors with Vector Fields on Manifolds. International Journal of Scientific & Engineering Research, 5(9), 157-162.
    48. Halim, M. A., Islam, M. S &Saha, S. (2014). Multilinear Algebras and Tensors with Vector Bundles of Manifolds. International Journal of Scientific & Engineering Research, 5(2), 767-771.

CONFERENCES

  1. Ng, P. S., Goh, S. Y., Saha, S., & Yeong, W. C. (2023). An Enhanced Double EWMA Chart for Monitoring the Process Mean Shifts. In International Conference on Robotics, Vision, Signal Processing and Power Applications(pp. 381-389). Singapore: Springer Nature Singapore.(Indexed: Scopus)
  2. Ng, P. S., Lim, H. T., Yeong, W. C., &Saha, S. (2023). Performance of the Auxiliary Information Based Hybrid EWMA Chart with Fast Initial Response. In The International Conference on Data Science and Emerging Technologies(pp. 545-561). Singapore: Springer Nature Singapore.(Indexed: Scopus)
  3. Saha, S., Parvin, R., Ng, P. S., Khoo, M. B., & Chew, X. (2022). A proposed variable sampling interval median chart for identifying out-of-control signals in process control. In 2022 25th International Conference on Computer and Information Technology. Bangladesh (pp. 478-482). IEEE.(Indexed: Scopus)
  4. Saha, S., Chong, M. K. B., Umar, A. A., & Ng, P. S. (2019). Side-sensitive group runs chart for detecting mean shifts using auxiliary information. International Conference on Mathematical Sciences and Technology. Penang, Malaysia. In AIP Conference Proceedings, 2184, No. 1, p. 050010. (Indexed: Scopus)
  5. Saha, S., Khoo, M. B. C., Ng, P. S., & Khatun, M. (2018). Variable sampling interval run sum chart with estimated process parameters. MATEC Web of Conferences (Vol. 192, p. 01012). Phuket, Thailand.(Indexed: Scopus)
  6. Ng, P. S., Khoo, M. B. C., Saha, S., & Yeong, W. C. (2018). Double sampling control charts for monitoring the coefficient of variation.2nd International Conference on Smart Sensors and Application (ICSSA)(pp. 93-98). Kuching, Malaysia.(Indexed: Scopus)