DrAhsan Habib
Lecturer, Software Engineering
Faculty of Science Engineering and Built Environment/School of Information Technology
Orcid identifier0000-0002-1523-4251 (opens in a new tab)
- Lecturer, Software EngineeringFaculty of Science Engineering and Built Environment/School of Information Technology
- +61 3 924 46696 (Work)
- Melbourne Burwood Campus, 221 Burwood Highway, Burwood, Victoria 3125
BIO
Biomedical AI & IoT Researcher | Deep Learning for Physiological Signals, Wearable Health, and Interpretable Medical AI.
To advance interdisciplinary research at the intersection of biomedical engineering, IoT, and deep learning, with a focus on physiological signal analysis and wearable health technologies. I aim to develop interpretable, resource‑efficient deep learning solutions for the analysis of mental health condition, and sleep quality analysis that can be reliably deployed on resource‑constrained IoT and medical devices for real-time monitoring and support decision-making.
DEAKIN UNIVERSITY CURRENT APPOINTMENT
- Lecturer, Software EngineeringDeakin University, School of Information Technology
ACADEMIC POSITIONS
- Assistant ProfessorHajee Mohammad Danesh Science & Technology University, Computer Science & Engineering, Rangpur City, Bangladesh1 Sep 2015 - 14 Nov 2022
- Senior LecturerUniversity of Liberal Arts Bangladesh, Computer Science & Engineering, Dhaka, Bangladesh1 Dec 2013 - 31 Aug 2015
NON-ACADEMIC POSITIONS
- R&D EngineerKepler Analytics, Melbourne, Australia1 Feb 2022 - 30 Nov 2022
- Development ManagerMobile-Technologies Ltd., Software development, Bangkok, Thailand2009 - 2012
DEGREES
- Doctor of PhilosophyDeakin University
- Master of Engineering (Information Technology)Asian Institute of Technology
- Bachelor Engineering in Computer Science & EngineeringShahjalal University of Science and Technology, Sylhet, Bangladesh1997 - 2003
LANGUAGES
- EnglishCan read, write, speak, understand and peer review
- BengaliCan read, write, speak, understand and peer review
FIELDS OF RESEARCH
- Biomedical engineering
- Data management and data science
- Machine learning
- Deep learning
- Signal processing
- Pattern recognition
AREA/FACULTY
- Faculty of Science Engineering and Built Environment
DEPARTMENT/SCHOOL/INSTITUTE/DISCIPLINE
- School of Information Technology