Research output per year
Research output per year
Personal profile
Biographical Details
Mohammad Ferdosi is a Senior Research Fellow at AGBU. He received a PhD degree in animal breeding from the University of New England in 2016. He has been working on imputation, haplotype inference and their applications in animal breeding. Currently, he is working on the development of new algorithms for analysing the genomic data. He is also the author of the R package, HSPhase.
Approved to Supervise
- Approved PhD/HDR supervisor
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 1 No Poverty -
SDG 4 Quality Education -
SDG 10 Reduced Inequalities -
SDG 13 Climate Action -
SDG 16 Peace, Justice and Strong Institutions
Fingerprint
Dive into the research topics where Mohammad Ferdosi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
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Accuracy of multi-breed genetic evaluation for tropically adapted beef cattle in Australia
Meyer, K., Johnston, D. J., Moore, K. L. & Ferdosi, M. H., 18 May 2026, In: Animal Production Science. 66, 8, p. 1-11 AN25417.Research output: Contribution to journal › Article › peer-review
Open Access -
The effect of haplotype diversity on genotype imputation accuracy of Australian Hereford cattle
Fazel, Y., Moore, K. L., Miller, S. P. & Ferdosi, M. H., 31 Jul 2026, Proceedings of the 13th World Congress on Genetics Applied to Livestock Production. Iowa, United States of America, Vol. 2026. p. 1-4 23585Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
A linkage disequilibrium method to reposition single nucleotide polymorphism and improve genotype imputation accuracy
FAZEL, Y., Moore, K., Miller, S. & Ferdosi, M., 2025, In: Proceedings of 26th Conference of the Association for the Advancement of Animal Breeding and Genetics. p. 197-200Research output: Contribution to journal › Conference article › peer-review
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Ascertaining the breed composition of an admixed sheep population using genomic information: A simulation study
Sahoo, S., Ferdosi, M. H., van der Werf, J. H. J. & De las Heras-Saldana, S., 24 Jun 2025, Proceedings of the Twenty-sixth Conference of the Association for the Advancement of Animal Breeding and Genetics, v.26. Hatcher & Sue (eds.). Armidale, Australia: Association for the Advancement of Animal Breeding and Genetics (AAABG), Vol. 26. p. 323-326Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Identification of relationships and pedigree simplification using graph theory
Ferdosi, M. H. & Johnston, D., 30 Jun 2025, In: Proceedings of the AAABG 26th Conference. p. 303-306Research output: Contribution to journal › Conference article
Open Access
Projects
- 1 Finished
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Advanced genetic evaluation tools and systems enabling faster and more valuable genetic gain in the red meat industries
Banks, R. (UNE Lead Investigator), Barwick, S. (Co-Investigator), Boerner, V. (Co-Investigator), Brown, D. (Co-Investigator), Bunter, K. (Co-Investigator), Connors, N. (Co-Investigator), Cook, J. (Co-Investigator), Ferdosi, M. (Co-Investigator), Girard, C. (Co-Investigator), Henzell, A. (Co-Investigator), Jeyaruban, G. (Co-Investigator), Johnston, D. (Co-Investigator), Li, L. (Co-Investigator), McMillan, A. (Co-Investigator), Meyer, K. (Co-Investigator), Swan, A. (Co-Investigator), Tier, B. (Co-Investigator), Walkom, S. (Co-Investigator), Walmsley, B. (Co-Investigator), Wolcott, M. (Co-Investigator) & Zhang, Y. (Co-Investigator)
1/08/16 → 30/12/21
Project: Grant