Skip to:

Dr Saleh Shahinfar

Postdoctoral Research Fellow - School of Science and Technology

Phone: +61 2 6773 4292

Biography

Saleh Shahinfar is interested in applying Machine Learning and Statistical methods in animal production, genetics, and wildlife. His career in application of machine learning and artificial intelligence in animal production systems started around 2004 when he decided to do a multi-disciplinary master on application of Neuro-Fuzzy networks in prediction of Holstein Sire’s breeding value. After a short period of working for GGI™ in Iran he moved to USA to pursue his PhD at the University of Wisconsin-Madison.

Saleh strengthened his skills on machine learning applied to animal production in his PhD. His thesis was entitled “Genomic and Phenotypic Prediction of Reproduction Efficiency in Dairy Cattle”. Prior to his graduation, he took the position as global product development analyst at Alta Genetics Ltd, where he built predictive models for selection of Holstein bull dams.

In September 2016 he started a post-doctoral fellowship at the University of New England in Australia. In his new position he prototyped prediction models for various wool and carcass traits for individual Sheep as part of the Sheep CRC platform for sheep management and wellbeing; ASKBILL™.

In August 2018 he started a new role in the department of Computer Science at UNE to work on the application of deep learning for detection of wildlife species.

The University of New England respects and acknowledges that its people, courses and facilities are built on land, and surrounded by a sense of belonging, both ancient and contemporary, of the world's oldest living culture. In doing so, UNE values and respects Indigenous knowledge systems as a vital part of the knowledge capital of Australia. We recognise the strength, resilience and capacity of the Aboriginal community and pay our respects to the Elders past, present and future.