Ashad Kabir

Professor Ashad Kabir is a distinguished academic and researcher at Charles Sturt University (CSU), holding the rank of Professor of Computer Science. He leads the Imaging and Sensing Research Group and is affiliated with the Gulbali Institute for Agriculture, Water and Environment. His core expertise spans applied artificial intelligence, data science, smartphone technologies, and their applications in health and agriculture. Kabir has secured over $7.1 million in competitive grants from organizations like Soil CRC and Food Agility CRC, demonstrating strong industry partnerships.

• Affiliations: School of Computing, Mathematics and Engineering (CSU); Artificial Intelligence and Cyber Futures Institute (AICF); Gulbali Institute.
• Educational Background: PhD in Computer Science (Swinburne University of Technology), MSc (Pusan National University), BSc in Computer Engineering (Chittagong University of Engineering and Technology).

Research Interests: Kabir’s work focuses on AI-driven solutions for smart agriculture (e.g., soil health analysis via machine learning), health informatics (e.g., medical imaging, wearable devices), and cybersecurity. His contributions include pioneering smartphone applications for soil property estimation, livestock data sharing frameworks (LEI/LEI2JSON), and AI models for disease detection (e.g., Parkinson’s, pneumonia).

Impact: His research has led to over 130 peer-reviewed publications, including high-impact journals like Computers and Electronics in Agriculture and IEEE Transactions on Artificial Intelligence. Notable outcomes include Editor’s Choice Awards (2022) and Vice-Chancellor’s Research Excellence Awards for partnership and research impact.

• Awards: 2023 Research Excellence Through Partnership Award, 2022 Researcher of the Year (Faculty), 2022 Teaching Excellence Award.
• Grants: Over $7.1M from industry partnerships, including National Industry PhD Program and Meat & Livestock Australia grants.

Professional Activities: Kabir contributes to editorial boards of journals like BMC Medical Informatics, delivers keynote lectures globally, and supervises over 15 PhD/Honours students. He is a Senior Member of IEEE and actively involved in programming competitions (e.g., IEEEXtreme Programming).

Labs & Teams: Lead researcher in the Imaging and Sensing Research Group, co-founder of the MaViDH (Machine Vision and Digital Health) team, and collaborator in the Cyber Security Research Group (CSRG).