Dr Owais Ahmed Malik
owais.malik@ubd.edu.bn
Dr Owais Ahmed Malik is a Senior Assistant Professor in the School of Digital Science, Universiti Brunei Darussalam (UBD). He completed his Ph.D. in Computer Science from Universiti Brunei Darussalam (2015), MS in Computer Science from KFUPM, Saudi Arabia (2002), and BE in Computer Systems Engineering from NED, Pakistan (1998). Dr Owais has more than 20 years of progressive experience in academia and research in the field of computer science and engineering. He has been teaching various undergraduate courses including machine learning, data mining, machine perception, programming fundamentals, design and analysis of algorithms, software engineering, and operating system in different national/international universities. His research interest includes designing and exploring different intelligent/pattern recognition algorithms for the analysis and classification of biodiversity and Cybersecurity data, applied biomechanics, bio-signal processing, and big data analytics. He has published a number of articles in internationally reputable journals and conferences. He served as the Director of the Institute of Applied Data Analytics (July 2021 - June 2022) and as a Deputy Dean for the School of Digital Science (July 2022 - June 2023).
EDUCATION
PhD (Computer Science - Machine Learning and Sensors in Health Systems), MSc (Computer Science - AI for Planning/Reasoning), BE (Computer Engineering)
RESEARCH INTERESTS
Machine Learning, Data Analytics/Big Data Analytics, Computer Vision/Image Processing, Deep Learning, Remote Sensing, Fuzzy Logic, Knowledge Based Systems, Intelligent Decision Support Systems for Rehabilitation Monitoring, Biodiversity Monitoring, Augmented and Virtual Reality, Biosignal Processing and Analysis
FUTURE PROJECTS
Computer Vision, Audio Processing, Deep Learning/LLM, and Data Analytics for Multidisciplinary Projects.
The projects related to computer vision, image analysis, and data analytics are available for discussion in various domains including digital healthcare, and biodiversity.
Applications Invited
For PhD/MS Students
Remote Sensing, Satellite and UAV/Drone Image Processing - Deep Learning based forecasting
Remote sensing applications for crops/plants/forest health monitoring and forest fire monitoring/prediction using deep learning and machine learning techniques.
Applications Invited
For PhD/MS Students
Applications of Large Language Models
Applications and fine-tuning of LLM
Applications Invited
For PhD/MS Students
RECENT PUBLICATIONS
FCD-AttResU-Net: An improved forest change detection in Sentinel-2 satellite images using attention residual U-Net, Kassim Kalinaki, Owais Ahmed Malik, Daphne Teck Ching Lai,
International Journal of Applied Earth Observation and Geoinformation, Volume 122, 2023
Spatial-temporal mapping of forest vegetation cover changes along highways in Brunei using deep learning techniques and Sentinel-2 images, Kassim Kalinaki, Owais Ahmed Malik, Daphne Teck Ching Lai, Rahayu Sukmaria Sukri, Rodzay Bin Haji Abdul Wahab, Ecological Informatics, Volume 77, 2023
Applications of computer vision and machine learning techniques for digitized herbarium specimens: A systematic literature review, Hussein, B.R., Malik, O.A., Ong, W.-H., Slik, J.W.F.
Ecological Informatics, 2022, 69, 101641
Reconstruction of damaged herbarium leaves using deep learning techniques for improving classification accuracy, BR Hussein, OA Malik, WH Ong, JWF Slik, Ecological Informatics 61, 101243, 2021
Real-time visual inspection system for grading fruits using computer vision and deep learning techniques, N Ismail, OA Malik, Information Processing in Agriculture, https://doi.org/10.1016/j.inpa.2021.01.005
TOP PUBLICATIONS
Real-time visual inspection system for grading fruits using computer vision and deep learning techniques, N Ismail, OA Malik, Information Processing in Agriculture, https://doi.org/10.1016/j.inpa.2021.01.005
FCD-AttResU-Net: An improved forest change detection in Sentinel-2 satellite images using attention residual U-Net, Kassim Kalinaki, Owais Ahmed Malik, Daphne Teck Ching Lai,
International Journal of Applied Earth Observation and Geoinformation, Volume 122, 2023
Batch adsorption studies of the removal of methyl violet 2B by soya bean waste: isotherm, kinetics and artificial neural network modelling
MRR Kooh, MK Dahri, LBL Lim, LH Lim, OA Malik
Environmental Earth Sciences 75 (9), 783
Integrated TOC prediction and source rock characterization using machine learning, well logs and geochemical analysis: Case study from the Jurassic source rocks in Shams Field
MR Shalaby, N Jumat, D Lai, O Malik
Journal of Petroleum Science and Engineering 176, 369-380
An Intelligent Recovery Progress Evaluation System for ACL Reconstructed Subjects Using Integrated 3-D Kinematics and EMG Features
OA Malik, SMN Senanayake, D Zaheer, IEEE Journal of Biomedical and Health Informatics, 1-1, 2015
GRANT DETAILS
- Identifying and predicting the spatiotemporal patterns and mapping of tree species in Brunei forest using remote sensing techniques (UBD/RSCH/1.18/FICBF(b)/2023/006) - April 2023 - April 2026 - (Principal Investigator)
- Automated Realtime Plant Species Recognition Using State of The Art Machine Learning Techniques (UBD/RSCH/1.4/FICBF((b)/2018/011) - Aug. 2018 - Feb. 2023 - (Principal Investigator) - (UBD FIC Research Grant)
- Architectural Heritage in Brunei Darussalam: Safeguarding, Identity and Sustainability - Oct. 2020 - Sept. 2023 - (Joint Project between FASS and FOS – Co-PI) – (UBD FIC Research Grant)
- Intelligent wearable anti-sprain system to prevent ankle sprain injury (Team Member) – Funded (UBD FIC Research Grant)
- MyCareerApp: An Intelligent Online Portal for Matching Skills with Career Pathways for the Candidates, Dec. 2022 - Nov. 2024, (Role - Co-PI) - (UBD URC Grant) - B$55,215
- Colorectal Cancer (CRC) risk reduction and early detection using epidemiological, machine learning (ML), artificial intelligence (AI) modelling and digital technology, Jan. 2021 – Dec. 2024, (Role - Team Member) - (UBD URC Grant) - B$ 60,160
- Coronary Heart Disease (CHD) risks reduction using epidemiological, machine learning (ML), artificial intelligence (AI) modelling and digital technology, Jan. 2021 – Dec. 2024, (Role - Team Member) - (UBD URC Grant) - B$ 60160
RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)
S.M.N. Arosha Senanayake and Owais Ahmed Malik, 2014, "Real Time Biofeedback Mechanism and Data Presentation for Knee Injury Rehabilitation Monitoring and a Soft Real Time Intelligent System Thereof", US Patent - 10004455 B2, June 26 2018, Brunei Patent BN/N/2014/0036 “ World Intellectual Property Organization (WIPO).
Industry, Institute, or Organisation Collaboration
Ministry of Defense, Brunei Darussalam
Ministry of Sports, Culture and Youth, Brunei Darussalam
Ministry of Health, Brunei Darussalam
Brunei Shell Petroleum, Brunei Darussalam
INDUSTRY EXPERIENCE
Worked at City Bank as a application developer
SOCIAL, ECONOMIC, or ACADEMIC BENEFITS
Various research projects have social, economic, and academic benefits in the fields of climate change, biodiversity preservation, forest health monitoring, and digital healthcare.