General Information
Name: Shahariar Huda (Director of Graduate Program) Rank: Professor Email: shuda@stat.kuniv.edu Tel: (+965) 2 498 5529
Academic Credentials:
 Ph.D. and D.I.C. (Statistics) 1981, Imperial College, University of London, U.K.
 M.Sc. (Statistics) 1978, Imperial College, University of London, U.K.
 B.Sc. (Hons) and A.R.C.S. (Mathematics) 1977, Imperial College, University of London, U.K.
Research Interests:
 Experimental design
 Applied Statistics
 Biostatistics
Selected Publications:
Alqallaf, F.A., Huda, S., Mukerjee, R. Causal inference from stripplot designs in a potential outcomes framework (2019) Statistics and Probability Letters, 149, pp. 5562. Optimal designs with string property under asymmetric errors and SLS estimation (2018) Statistical Papers, 59 (3), pp. 12551268. Algorithmic and analytical construction of efficient designs in small blocks for comparing consecutive pairs of treatments (2017) Journal of Statistical Computation and Simulation, 87 (16), pp. 31953207. Hasan, M.T., Huda, S., Sneddon, G. A Comparative Study of Observation and Parameterdriven Zeroinflated Poisson Models for Longitudinal Count Data (2016) Communications in Statistics: Simulation and Computation, 45 (10), pp. 36433659. Approximate theoryaided robust efficient factorial fractions under baseline parametrization (2016) Annals of the Institute of Statistical Mathematics, 68 (4), pp. 787803. On Some Two and Threedimensional Dminimax Designs for Estimating Slopes of a Thirdorder Response Surface (2016) Communications in Statistics: Simulation and Computation, 45 (6), pp. 18851895. Dminimax Secondorder Designs over Hypercubes for Extrapolation and Restricted Interpolation Regions (2015) Communications in Statistics  Theory and Methods, 44 (21), pp. 46004613. Twolevel minimum aberration designs in N =2 (mod 4) runs (2013) Journal of Statistical Planning and Inference, 143 (11), pp. 18721879. Minimax designs for the difference between two estimated responses in a trigonometric regression model (2013) Statistics and Probability Letters, 83 (3), pp. 909915. Chowdhury, R. I., Islam, M. A., Huda, S. A multistate transition model for analyzing longitudinal depression data (2013) Bull. Malaysian Math. Soc. Series 2, 36 (3), pp. 637655.
