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Principal Scientist (Biotechnology): milind.Ratnaparkhe@icar.gov.in
8878600360(O)
Google scholar: https://scholar.google.com/citations?user=QMAvqXsAAAAJ&hl=en
Research gate: https://www.researchgate.net/profile/Milind_Ratnaparkhe

Post Doctoral in Groundnut Genomics: University of Georgia, Athens, GA, USA
Post Doctoral in Soybean Genomics: University of Missouri, Columbia, MO, USA
Post Doctoral in Legume Comparative Genomics: Virginia Tech, Blacksburg, VA, USA
Post Doctoral in Grape Genetics and Genomics: URGV Genomic Institute, Evry, France
Ph.D. in Biochemistry: National Chemical Laboratory, Pune
M.Sc. Biotechnology: Devi Ahilya University, Indore
B.Sc. Agricultural: Jawaharlal Nehru Agriculture University, Jabalpur

Current projects as PI and CO-PI (In House)
1. Enhancing Disease resistance in soybean using genomics approach (as PI)
2. Soybean Improvement against charcoal rot and anthracnose diseases (as Co-PI)
3. Evaluation of germplasm and breeding for collar rot disease caused by Sclerotium rolsfsii Sacc in soybean (as Co-PI)
4. Augmentation, management and documentation of soybean germplasm (as Co-PI)
5. Selection of potential fungal and bacterial soybean endophytes and their evaluation against major fungal diseases of soybean (as Co-PI)
Current projects as PI and Co-PI (External)
1. Genomic strategies for improvement of yield and seed composition traits under drought stress conditions. ICAR-National Agriculture Science Funds, Rs 210 Lakhs (2019-2022)- (as PI)
2. Development of an Efficient Scalable Clustering Algorithms for Big Data and investigation of Integrated system for Protein Sequence Classification, CSIR, Rs 30 Lakhs (2017-2020)- (as Co-PI)

Best Five Publications
Whole Genome Re-sequencing of Soybean Accession EC241780 Providing Genomic Landscape of Candidate Genes Involved in Rust Resistance (2020) Ratnaparkhe MB, Marmat N, Kumawat G, Shivakumar M, Kamble V, Nataraj V, Ramesh SV, Deshmukh MP, Singh AK, Sonah H, Deshmukh R, Prasad M, Chand S and Gupta S. , Current Genomics, Vol. 21, No. 7
Identification of novel genetic sources for agronomic and quality traits in soybean using multi-trait allele specific genic marker assays (2020) G. Kumawat G; Shivakumar M; Gupta S; Tripathi R; Agarwal N; Singh V; Rajesh V; Subhash Chandra S; Kamble V; Nataraj V; Bharti A; Sharma MP; Jadhav PV; Ratnaparkhe MB; Satpute GK; Bhatia VS, Journal of Plant Biochemistry and Biotechnology, https://doi.org/10.1007/s13562-020-00580-x
A Novel Scalable Kernelized Fuzzy Clustering Algorithm Based on In-Memory Computation for Handling Big Data, (2020) Jha P, Tiwari A, Bharill N, Ratnaparkhe MB, Mounika M, and Nagendra N, IEEE transactions of Emerging Topics in Computational Intelligence
NAM population–a novel genetic resource for soybean improvement: development and characterization for yield and attributing traits (2020) S Maranna, G Kumawat, V Nataraj, C Gireesh, S Gupta, GK Satpute, Ratnaparkhe MB et al, Plant Genetic Resources 17 (6), 545-553
Vector Quantized spectral clustering applied to whole genome sequences of plants (2019) A. Shastry, Kapil Ahula, M. B. Ratnaparkhe , Evolutionary Bioinformatics 1-6