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Dr Mobashwer Alam is a Senior Research Fellow at the Centre for Horticultural Science, a theme leader of Predictive Agriculture for Improved Productivity and Value, an Advance Queensland Industry Fellow, and the team leader of the National Passionfruit Breeding and Evaluation Program (PF22000) at the Queensland Alliance for Agriculture and Food Innovation, UQ. He is currently based at Maroochy Research Station, Nambour, QLD 4560, Sunshine Coast. He has more than twenty years of research and teaching experience in the public and private industries and in universities in Australia and Bangladesh. Dr Alam has experience in multi-disciplinary research, including plant breeding, quantitative genetics, genomics, plant physiology, and crop modelling. Before joining at QAAFI, Dr Alam had been working as a Senior Plant Breeder (Grain Sorghum) at Nuseed Pty Ltd. He achieved his PhD in plant molecular genetics through the School of Agriculture and Food Sciences of the University of Queensland. Before coming in Australia in 2008, Dr Alam had been working as a lecturer and assistant professor of the Department of Genetics and Plant Breeding at Patuakhali Science and Technology University in Bangladesh. Throughout his academic and research career, he worked on multiple crops, including Macadamia, Passionfruit, Stone Fruits, Sorghum, Sugarcane, Lablab Bean, Tomato, Okra, and Ash Gourd. He is interested in developing rapid breeding tools and utilizing plant genomics in horticultural crop improvement.

Summary of Research:

• My current research at UQ is as Professor in this School (teaching AGRC3040 Crop Physiology) and as an Affiliate Professor of QAAFI. Since 2020, with full-time appointment at UQ, my research portfolio has included multiple projects in applications of machine learning and artificial intelligence into the ag domain. This area is developing rapidly and across UQ, I am engaging with faculty in multiple schools (ITEE, Maths and Physics, Mining and Mech Engineering) as well as in the Research Computing Centre to develop new projects and training opportunities at the interface of field agriculture and these new digital analytics.
• My career research has been around genetic and environment effects on physiology of field crops, particularly where drought dominates. Application of quantitative approaches (crop simulation and statistical methods) and phenotyping (aerial imaging, canopy monitoring) to integrate the understanding of interactions of genetics, growth and development and the bio-physical environment on crop yield. In recent years, this work has expanded more generally into various applications in digital agriculture from work on canopy temperature sensing for irrigation decisions (CSIRO Entrepreneurship Award 2022) through to applications of deep-learning to imagery to assist breeding programs.
• Much of this research was undertaken with CSIRO since 1996. Building on an almost continuous collaboration with UQ over that time, including as an Adjunct Professor to QAAFI, Prof Chapman was jointly appointed (50%) as a Professor in Crop Physiology in the UQ School of Agriculture and Food Sciences from 2017 to 2020, and at 100% with UQ from Sep 2020. He has led numerous research projects that impact local and global public and private breeding programs in wheat, sorghum, sunflower and sugarcane; led a national research program on research in ‘Climate-Ready Cereals’ in the early 2010s; and was one of the first researchers to deploy UAV technologies to monitor plant breeding programs. Current projects include a US DoE project with Purdue University, and multiple projects with CSIRO, U Adelaide, La Trobe, INRA (France) and U Tokyo. With > 8500 citations, Prof Chapman is currently in the top 1% of authors cited in the ESI fields of Plant and Animal Sciences and in Agricultural Sciences.

My research focusses on soil health in cropping and pasture systems, specialising in soil carbon and soil organic matter dynamics, microbial ecology, and plant-soil interactions. I am interested in how agronomic interventions impact soil health and in developing methods to reverse soil fertility decline and build healthier, more productive soils. This includes understanding the impacts of tillage, cover cropping, crop rotational diversity, nutrient management, and organic amendments on soil functional processes and crop development and productivity.

I have extensive experience in designing and analyzing field and glasshouse experiments and implementing advanced statistical models using R. I have excellent verbal and written communication skills, maintain positive relationships with collaborators both nationally and internationally, and publish manuscripts in peer-reviewed scientific journals.