Brain Machine Intelligence Tech. Research Lab
Welcome to BITML Research Lab, a vibrant community of researchers from renowned institutions including the University of Malaya, University of Southern Queensland, Daffodil International University, University of Queensland, Lakehead University, and University of Saskatchewan. Founded in 2023, our lab is dedicated to addressing real-world challenges through advanced artificial intelligence techniques. In collaboration with the Machine Learning Lab, we transform fundamental science into practical solutions across health informatics and other sectors. Our expertise spans large-scale data collection, processing, analysis, as well as the training and testing of machine learning models and algorithm optimization. BITML Research Lab is at the forefront of AI, data science, and machine learning, fostering global collaborations with a diverse network of computer scientists, computational linguists, speech researchers, data and social scientists to innovate and solve complex problems.
We will be engage a wide range of industry partners like Microsoft Research, Google, IBM and Facebook.
The group is composed of academic staff, current students, and alumni from diverse universities and institutions. We are open to all forms of collaboration with both industry and academic entities, including research and development projects, practical implementations of AI technologies, and multidisciplinary partnerships. For more information about our team members and collaborators, please visit our website.
Journal Publish: "Development of a multi-fusion convolutional neural network (MF-CNN) for enhanced gastrointestinal disease diagnosis in endoscopy image analysis," coauthored with Tanzim Hossain, F M Javed Mehedi Shamrat, Xujuan Zhou, Imran Mahmud, Md. Sakib Ali Mazumder, Sharmin Sharmin and Raj Gururajan is accepted in PeerJ Computer Science, 2024. Congratulations!
Journal Publish: "An advanced deep neural network for fundus image analysis and enhancing diabetic retinopathy detection," coauthored with F M Javed Mehedi Shamrat, Rashiduzzaman Shakil, Sharmin, Nazmul Hoque ovy, Bonna Akter, Md Zunayed Ahmed, Kawsar Ahmed, Francis M. Bui, and Mohammad Ali Moni is accepted in Healthcare Analytics, 2024. Congratulations!
Journal Publish: "An Intelligent Thyroid Diagnosis System Utilising Multiple Ensemble and Explainable Algorithms with Medical Supported Attributes," coauthored with Ananda Sutradhar, Mustahsin Al Rafi, Pronab Ghosh, F M Javed Mehedi Shamrat, Md. Moniruzzaman, Kawsar Ahmed, AKM Azad, Francis M. Bui, Li Chen, Mohammad Ali Moni is accepted in IEEE Transactions on Artificial Intelligence, 2023. Congratulations!