Dr. Mohammed Eunus Ali is currently a Senior Lecturer (equivalent to "Associate Professor" in North American universities) in the Department of Software Systems and Cybersecurity within the Faculty of Information Technology at Monash University. He received his PhD in Computer Science and Software Engineering from the University of Melbourne in December 2010. Following his doctoral studies, Dr. Eunus held full-time academic positions at the Bangladesh University of Engineering and Technology (BUET), the premier technical university in Bangladesh. At BUET, he served as a Professor and led a research group specializing in Data Science and Engineering for over a decade. Dr. Eunus has also held research positions at leading Australian institutions, including Monash University (2015, 2021-2022), Swinburne University of Technology (2019-2020), the University of Melbourne (2012-2013), and RMIT University (2016). In these roles, he contributed to advancing research in his field through collaborations and innovative projects. The outcomes of Dr. Eunus's research has been published in prestigious venues such as ACL, TKDE, IWMUT, T-ITS, TGRS, Information Systems, ICDE, and PVLDB. His contributions have been recognized with several awards, including the Bangladesh University Grants Commission Award (2012), ADC Best Poster Award (2016), SSTD Best Demo Award (2017), and ADC Best Paper Award (2022). Dr. Eunus has also served as a Program Committee Member for renowned conferences, including SIGMOD, VLDB, ICDE, and SIGSPATIAL, reflecting his active engagement in the research community. He is currently a Senior Member of the ACM.

Research Interest: 

My research focuses on data management, analytics, and learning, with a particular emphasis on spatio-temporal data, geo-social networks, and multimodal high-dimensional data. These areas form the foundation for developing innovative applications in urban computing, intelligent transportation systems, and smart, sustainable cities. In recent years, my work has expanded to explore the role of Generative AI, particularly large language models (LLMs), in enhancing geo-spatial query processing, SQL generation, data preprocessing, and other critical tasks in data and software engineering.