
Fosters collaboration and teamwork.
Passionate about student development.
Brings real-world relevance to learning.
Encourages students to explore new ideas.
Creates a collaborative learning environment.
Dr. Mohammed Eunus Ali is a Senior Lecturer, equivalent to Associate Professor in North American universities, in the Department of Software Systems and Cybersecurity at Monash University's Faculty of Information Technology. He also serves as Deputy Head of the Department of Software Systems and Cybersecurity and Co-Director of the Urban Computing Lab. Ali obtained his PhD in Computer Science and Software Engineering from the University of Melbourne in 2010, MSc Engineering in Computer Science and Engineering from Bangladesh University of Engineering and Technology in 2002, and BSc Engineering in Computer Science and Engineering from the same institution in 1999. Prior to his current role, he was a Professor at Bangladesh University of Engineering and Technology from January 2011 to January 2025, where he led a research group in Data Science and Engineering. He has held research positions at Monash University in 2015 and 2021-2022, Swinburne University of Technology in 2019-2020, University of Melbourne in 2012-2013, and RMIT University in 2016.
Ali's research focuses on data management, analytics, and learning, with emphasis on spatio-temporal data, geo-social networks, multimodal high-dimensional data, urban computing, intelligent transportation systems, and smart sustainable cities. His recent work explores Generative AI and large language models for geo-spatial query processing, SQL generation, data preprocessing, and software engineering tasks. He is a Senior Member of the ACM and has served on program committees for conferences including SIGMOD, VLDB, ICDE, and SIGSPATIAL. Awards include the Bangladesh University Grants Commission Award in 2012, ADC Best Poster Award in 2016, SSTD Best Demo Award in 2017, and ADC Best Paper Award in 2022. With over 4,687 citations on Google Scholar, his influential publications encompass 'A Review on Large Language Models: Architectures, Applications, Taxonomies, Open Issues and Challenges' (2024), 'Identification and Recognition of Rice Diseases and Pests Using Deep Convolutional Neural Networks' (2020), 'Mapcoder: Multi-agent code generation for competitive problem solving' (2024), 'Data-driven approaches for road safety: A comprehensive systematic literature review' (2023), and 'Group trip planning queries in spatial databases' (2013). Ali accepts PhD students and supervises projects on urban sustainability, multi-agent systems, and spatial reasoning.
