Calculated based on number of publications stored in Pure and citations from Scopus
20082025

Research activity per year

Personal profile

Personal profile

Dr Asad started his career at one of the oldest agricultural institution in South Asia, Sher-e-Bangla Agricultural University, Bangladesh, where he worked as an Assistant Professor and was involved in teaching and industry-funded research in crop science, applied weed science, plant ecophysiology and agrometeorology.

Asad was awarded the Crawford Fund Australia in 2009 to work as a Visiting Scientist at the University of South Australia. He has completed his PhD in canola (Brassica napus L) allelopathy at CSU with the International Postgraduate Research Scholarship. Following completion of his PhD in 2015, he worked as a Research Fellow at the Graham Centre, CSU, working on crop-weed interference mechanisms, plant metabolomics, and root ecology.

Asad spent 6 years as a Research Scientist at the NSW Department of Primary Industries, first head-up research for both summer and winter crops in southern NSW, then herbicide resistance, weeds spatial intelligence, plant phenotypic plasticity, remote sensing, and the application of machine learning tactics for modelling and risk mapping of invasive plants to minimise biosecurity risks.

Asad joined SAEVS as a lecturer in crop science in 2023. His current research broadly focuses on crop digital agronomy, weed science, herbicide resistance and hormesis and plant ecology and plasticity under predicted climate change.

Teaching

Asad’s teaching interests and experience include-

  • Crop science and Agronomy
  • Precision agriculture
  • Weed and Pesticide sciences.
  • Advanced enquiry methods
  • Experimental design and Data analysis
  • Agro-meteorology

Research Interests

  • Weed science and herbicide resistance 
  • Crop plasticity and adaption 
  • Root-root interactions between crop and weed
  • Ecological statistics and data management 

Asad is keen on developing research programmes at CSU and is actively seeking research opportunities and partnerships focusing on

  • Quantifying plasticity and adaption of crop functional traits in changing environments (climate-smart agronomy).
  • Weed spatial processes (sustainability and suitability) to understand their ecology and invasion mechanism.
  • Herbicide resistance and the role of hormesis in resistance evolution in weeds.
  • Uncovering root-mediated (the 'hidden half') allelobiosis in crop–weed interactions to develop self-weeding crop varieties.
  • Applying spectral fingerprinting and deep learning for precision weeding.
  • Developing machine learning-based distribution models to predict pest occurrence and habitat suitability. 

Intellectual Property

-Asad reported world's first double-knock resistance (glyphosate followed by paraquat) in two biotypes of Conyza sumatrensis species

-He uncovered Australia’s first paraquat resistance in exotic Conyza summatrensis species.

-His herbicide hormesis research has been recognised in an international capacity and categorised as the most interesting research to explore the new roots of herbicide resistance development in weeds.

-Asad is a co-author of the comprehensive national weed reference “Integrated Weed Management Manual” for Australian growers. 

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):

  • SDG 2 - Zero Hunger
  • SDG 4 - Quality Education
  • SDG 12 - Responsible Consumption and Production
  • SDG 13 - Climate Action
  • SDG 15 - Life on Land

Education/Academic qualification

Plant science, PhD, Allelopathy in canola (Brassica napus L), Charles Sturt University

11 Mar 201107 Aug 2014

Award Date: 28 Feb 2015

Agronomy, Master of Science, Response of mungbean to integrated water and nitrogen management, Sher-e-Bangla Agricultural University

Award Date: 28 Sept 2007

Subject keywords

  • Climate smart agronomy
  • Weed science and herbicide resistance
  • Self-weeding crops
  • Plant ecology and plasticity
  • Ecological statistics
  • Data mining and Use R in agri research
  • Machine learning for advanced agronomy
  • climate-smart agronomy

Registered Supervisor

  • Yes

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