♣ Design of experiments

♣ Multivariate analysis

♣Forecasting techniques

♣ Statistical data analysis

♠ Vinayaka. (2022). On constructions of nested partially balanced incomplete block designs. Communications in Statistics-Simulation and Computation, https://doi.org/10.1080/03610918.2022.2091144.

♥ Vinayaka and Rajender Parsad. (2022). Resolvable and 2-replicate PBIB designs based on higher association schemes using Polyhedra. Statistics and Applications. (Accepted)

♥ Vinayaka and Vinaykumar, L.N. (2021). Higher associate class partially balanced incomplete block designs using graphs for agricultural experiments. The Pharma Innovation Journal, 10(12), 967-972.

♥ Vinaykumar L.N., Vinayaka and Ashutosh Dalal (2022). An R Package:Design.parameters: Parameters of the experimental designs, URL: https://CRAN.Rproject.org/package=Design.parameters.

♥ Vinaykumar L.N., Cini Varghese, Mohd Harun, Ashutosh Dalal, Vinayaka and Sayantani karmakar (2022). An R package: pRepDesigns for Partially Replicated(p-Rep) Designs, URL:  https://CRAN.R-project.org/package=pRepDesigns

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♦ Vinayaka. (November, 2022). Group divisible designs. Agriculture and Food: E-Newsletter, 4(11), 86-88, ISSN: 2581-8317. (Article ID-38428)

♦ Vinayaka. (November, 2022). A note on triangular designs. Agriculture and Food:E-Newsletter, 4(11), 89-90, ISSN: 2581-8317. (Article ID-38429)

♦ Vinayaka and Vinaykumar, L.N. (November, 2022). Rectangular association and related PBIB designs. Agriculture and Food: E-Newsletter, 4(11), 91-92, ISSN:2581-8317. (Article ID-38430)

♦ Vinayaka. (November, 2022). Nested block designs. Agriculture and Food: E-Newsletter, 4(11), 98-99, ISSN: 2581-8317. (Article ID-38433)

♦ 2017-19: Received ICAR-IARI Junior Research Fellowship for M.Sc. (Agricultural Statistics) degree from PG School, ICAR-IARI, New Delhi.

♦ 2019-23: Recipient of ICAR-IARI Senior Scholarship for pursuing Ph.D. (Agricultural Statistics) from PG School, ICAR-IARI, New Delhi.

♦ 2019: Qualified ICAR-NET in the discipline of Agricultural Statistics for eligibility of Lecturership/Assistant Professorship.

♦ 2022: Qualified UGC-NET in the subject of Population Studies for eligibility of Lecturership/Assistant Professorship.