About Me

About Me

Hi, I am Asad! I am a post-doctoral research fellow at the Dept. of Data Science and Artificial Intelligence under the Faculty of Information Technology in Monash University. My research interests include pollination monitoring, conservation technology, and AI for environmental monitoring.

I completed my PhD in Information Technology from Monash University in 2025 with a specialisation in Artificial Intelligence, under the guidance of Prof. Alan Dorin and Dr. Vanessa Kellermann. My PhD research was on developing AI technologies for monitoring Australian native bees. I have a strong background in computer vision, machine learning, and data science. I have published several research papers in top-tier conferences and journals.

I am passionate about leveraging technology to address real-world challenges. I am particularly interested in developing AI technologies for environmental monitoring and conservation. I am always looking for opportunities to collaborate on projects that have a positive impact on society. If you are interested in collaborating with me, feel free to reach out to me.

In my free time, I enjoy reading, hiking, and photography. I am also a big fan of cricket. I am always up for a chat, so feel free to reach out to me if you want to discuss anything related to AI, conservation, or just want to have a chat.

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Research Interests

• Pollination Monitoring
• Conservation Technology
• AI for Environmental Monitoring
• Computer Vision
• Machine Learning
• Data Science

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Contact Me

• Email:

  • asadiceiu@gmail.com

• Social Media:

  • LinkedIn
  • Twitter
  • GitHub
  • Google Scholar

• Address:

  • Dept. of Data Science and Artificial Intelligence
  • Faculty of Information Technology
  • Monash University
  • Clayton, VIC 3800
  • Australia

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Publications

For a complete list of publications, please refer to my Google Scholar profile. Here are some of my recent publications:

• Alam, M. A., Sajib, M. R. U. Z., Rahman, F., Ether, S., …, Zaman, A., … & Ahmed, A. (2024). Implications of Big Data Analytics, AI, Machine Learning, and Deep Learning in the Health Care System of Bangladesh: Scoping Review. Journal of Medical Internet Research, 26, e54710.
• Zaman, A., Kellermann, V., & Dorin, A. (2024). Markerless retro-identification complements re-identification of individual insect subjects in archived image data of biological experiments. arXiv preprint arXiv:2405.13376.
• Zaman, A., & Dorin, A. (2023). A framework for better sensor-based beehive health monitoring. Computers and Electronics in Agriculture, 210, 107906.
• Ratnayake, M. N., Amarathunga, D. C., Zaman, A., Dyer, A. G., & Dorin, A. (2023). Spatial monitoring and insect behavioural analysis using computer vision for precision pollination. International Journal of Computer Vision, 131(3), 591-606.
• Zaman, A., Park, S. H., Bang, H., Park, C. W., Park, I., & Joung, S. (2020). Generative approach for data augmentation for deep learning-based bone surface segmentation from ultrasound images. International journal of computer assisted radiology and surgery, 15, 931-941.

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