About

Dr. Sajal Halder is a Research Fellow at RMIT University, Australia, where he works on AI-generated content analysis and misinformation detection on social media. From February 2024 to August 2025, he served as a Research Fellow at Data61, CSIRO, Australia, contributing to a Google-funded project on software vulnerability standardization in critical infrastructures. Prior to that, he was a Postdoctoral Research Fellow at Charles Sturt University, Wagga Wagga, NSW (December 2022 – February 2024), focusing on adversarially robust machine learning for software supply chain security.

Earlier, Dr. Halder held research and applied data science roles, including Lead Developer/Data Scientist at Acciona (2022), Research Worker at CQ University (2022), and Research Assistant at RMIT University and Acciona GeoTeach. He completed his PhD in Computer Science at RMIT University in 2022, with a thesis on itinerary recommendation using deep learning.

Dr. Halder has extensive academic experience in Bangladesh, where he served as a faculty member (Lecturer/Assistant Professor) in the Department of Computer Science and Engineering at Jagannath University from July 2016 to July 2018. Prior to that, he held faculty positions at Bangabandhu Sheikh Mujibur Rahman Science and Technology University (Oct 2013– July 2016) and Dhaka International University (2011).  Earlier in his career, he worked as a software developer at Neighbor System Ltd, South Korea (2011–2013).

He holds a Master of Engineering in Computer Engineering (Data Mining) from Kyung Hee University, South Korea (2013), and a B.Sc. (Hons.) in Computer Science and Engineering from the University of Dhaka, Bangladesh (2010).

Dr. Halder’s research interests span supply chain security, machine learning, deep learning, reinforcement learning, personalized itinerary recommendation systems, attrition analysis, and large-scale data analysis. He has published in leading journals such as Applied Soft Computing, Data Mining and Knowledge Discovery, Knowledge and Information Systems, Expert Systems with Applications, Multimedia Tools and Applications, Cybersecurity, and The Computer Journal. He has also presented at top-tier conferences, including The Web Conference (A*), ESORICS (A), and PAKDD (A).

In addition to his research contributions, Dr. Halder actively serves as a reviewer for high-impact journals such as Engineering Applications of Artificial Intelligence, Information Processing and Management, Applied Soft Computing, IEEE Transactions on Computational Social Systems, Transactions on Knowledge Discovery from Data, Expert Systems with Applications, IEEE Access, and World Wide Web.