Dr. Sukhjinder Singh Sidhu joined Punjab Agricultural University as Assistant Professor (Statistics) in year 1988. He completed his B.Sc. (Non-Medical) from Panjab University, Chandigarh in 1985, M.Sc. in Statistics (1987) and Ph.D. (2001) from Punjab Agricultural University (PAU), Ludhiana. With a professional journey spanning over three decades at PAU, he has served as Assistant Professor (1988–2001), Associate Professor (2001–2009), and currently holds the position of Professor since 2009. Dr. Sidhu’s research interests lie in the estimation of multi-characteristics, development of randomized response devices, and plant disease modeling. He has contributed to several research projects involving crop yield modeling, remote sensing for forecasting agricultural production, and GIS-based weed mapping. His scholarly work includes notable publications in international journals on sensitive survey techniques and agricultural estimations. 

Professional Accomplishments

Research Projects Completed:

1. Crop Production Forecasting Wheat through remote Sensing Technology.
2. Crop Production Forecasting Rice.
3. Pre-harvest cotton acreage and production forecasting using LISS-II data.
4. Crop Yield Modeling.
5. Acreage Estimation and Technique Development for Yield Prediction Through Remote Sensing.
6. Identification of Predominant Weeds in Rice and Wheat through Remote Sensing and Preparation of weed Prescription map by GIS.
7. Estimation of multi-characteristics in Agriculture and Social Sciences.

Research Publications:

1. Javed M, Sidhu S S, Singh, S 2016. An extension of Franklin’s randomized response technique for multi-proportions. Communications in Statistics-Theory and Methods 45(16): 4637-4662.
2. Sidhu S S, Singh S 2017. Multi-Character Survey using Forced Quantitative Randomized Response Model with Two Independent Samples. Statistics and applications 15(1-2): 117-146.
3. Ambati S K, Sedory S A, Singh, S 2018. Estimation of coefficient of dispersion using auxiliary information. Communications in Statistics-Simulation and Computation 47(7): 1996-2009.
4. Walia G S, Sidhu S S, Grewal I S 2020. An alternative estimator for estimation of population mean using imputation method. International Journal of Agricultural & Statistical Sciences, 16(1).
5. Kaur M, Grewal I S, Sidhu S S 2022. Improved randomized response technique for estimating population proportion of a sensitive characteristic. Model Assisted Statistics and Applications 17(2): 87-97.