Dr Owais Ahmed Malik


Assistant Professor, Faculty of Science


Dr Owais Ahmed Malik is an Assistant Professor in Mathematical and Computing Sciences department at Faculty of Science, Universiti Brunei Darussalam (UBD). He completed his PhD in Computer Science from Universiti Brunei Darussalam (2015), MS in Computer Science from KFUPM, Saudi Arabia (2002) and BE is Computer Systems Engineering from NED, Pakistan (1998). Dr Owais has more than ten 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 Cyber-security data, applied biomechanics, bio-signal processing and big data analytics. He has published a number of articles in internationally reputable journals and conferences.


PhD (Computer Science - Machine Learning and Sensors in Health Systems), MSc (Computer Science - AI for Planning/Reasoning), BE (Computer Engineering)


Machine Learning, Data Analytics/Big Data Analytics, Computer Vision/Image Processing, Deep Learning, Fuzzy Logic, Knowledge Based Systems, Intelligent Decision Support Systems for Rehabilitation Monitoring, Augmented and Virtual Reality, Biosignal Processing and Analysis, Applied Biomechanics


Computer Vision and Data Analytics for Multidisciplinary Projects.

The projects related to the computer vision, image analysis and data analytics are available for discussion. Designing of Machine Learning techniques/algorithms for resource constrained devices. Application of Machine Learning and Computer Vision for Marine Biology/ Oceanography, Fisheries

Applications Invited
For PhD/MS Students

Augmented, Virtual and Mixed Reality Applications and Spatial Computing

This project is related to the application of mixed reality (spatial computing) for various fields including e-learning, education, and biodiversity.

Applications Invited
For PhD/MS Students

TinyML and applications, Embedded AI

The projects related to designing embedded AI systems, their applications, and optimization of ML techniques for these systems.

Applications Invited
For PhD/MS Students

Scopus Publications


Google Scholar Citations


Google Scholar h-index


Google Scholar i10-index

Scopus Publications


Semantic Segmentation of Herbarium Specimens Using Deep Learning Techniques, BR Hussein, OA Malik, WH Ong, JWF Slik - Computational Science and Technology, 2020, Lecture Notes in Electrical Engineering, vol 603. Springer, Singapore

Automated Classification of Tropical Plant Species Data Based on Machine Learning Techniques and Leaf Trait Measurements, BR Hussein, OA Malik, WH Ong, JWF Slik - Computational Science and Technology, 2020, Lecture Notes in Electrical Engineering, vol 603. Springer, Singapore

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, NW Desert, Egypt, MR Shalaby, N Jumat, D Lai, O Malik - Journal of Petroleum Science and Engineering, 2019

Machine-Learning-Based Cyclic Voltammetry Behavior Model for Supercapacitance of Co-Doped Ceria/rGO Nanocomposite, S Parwaiz, OA Malik, D Pradhan, MM Khan - Journal of chemical information and modeling, 2018

Identifying sub-groups of the obese from national health and nutritional status survey data using machine learning techniques', Khalil, U.; Malik, O.A.; Lai, D.; King, O.S., IET Conference Proceedings, 2018, p. 113 (4 pp.)-113 (4 pp.), IET Digital Library


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

A Multisensor Integration-Based Complementary Tool for Monitoring Recovery Progress of Anterior Cruciate Ligament-Reconstructed Subjects
OA Malik, SMN Arosha Senanayake, D Zaheer, IEEE/ASME Transactions on Mechatronics, 2014

A knowledge-based intelligent framework for anterior cruciate ligament rehabilitation monitoring
SMN Arosha Senanayake, OA Malik, PM Iskandar, D Zaheer, Applied Soft Computing 20, 127-141, 2013

Software level green computing for large scale systems
F Fakhar, B Javed, R ur Rasool, O Malik, K Zulfiqar, Journal of Cloud Computing: Advances, Systems and Applications 1 (1), 4, 2012

A hybrid intelligent system to improve predictive accuracy for cache prefetching
S Sarwar, Z Ul-Qayyum, OA Malik, Expert Systems with Applications 39 (2), 1626-1636, 2012


Automated Realtime Plant Species Recognition Using State of The Art Machine Learning Techniques (UBD/RSCH/1.4/FICBF((b)/2018/011 (Principal Investigator)
Architectural Heritage in Brunei Darussalam: Safeguarding, Identity and Sustainability (Joint Project between FASS and FOS – Co-PI) – (FIC Research Grant)
Intelligent wearable anti-sprain system to prevent ankle sprain injury (Team Member) – Funded (FIC Research Grant)


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 Health, Brunei Darussalam


Worked at City Bank as a application developer