Dr Owais Ahmed Malik

owais.malik@ubd.edu.bn

Assistant Professor, School of Digital Science



                              

Dr Owais Ahmed Malik is an Assistant Professor in School of Digital 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.

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, Fuzzy Logic, Knowledge Based Systems, Intelligent Decision Support Systems for Rehabilitation Monitoring, Augmented and Virtual Reality, Biosignal Processing and Analysis, Applied Biomechanics

FUTURE PROJECTS

Computer Vision, Audio Processing, Deep Learning and Data Analytics for Multidisciplinary Projects, Remote Sensing, Satellite and UAV Image Processing

The projects related to computer vision, image analysis, and data analytics are available for discussion. Remote sensing applications for forest monitoring using deep learning and machine learning techniques.


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. Designing of Machine Learning techniques/algorithms for resource constrained devices.


Applications Invited
For PhD/MS Students
50

Scopus Publications

415

Google Scholar Citations

11

Google Scholar h-index

16

Google Scholar i10-index

Scopus Publications

RECENT PUBLICATIONS

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

Accurate Location Estimation of Smart Dusts Using Machine Learning, Bashir, S., Malik, O.A., Lai, D.T.C., Computers, Materials and Continua, 2022, 71(2), pp. 6165–6182

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

Automated Extraction of Phenotypic Leaf Traits of Individual Intact Herbarium Leaves from Herbarium Specimen Images Using Deep Learning Based Semantic Segmentation, BR Hussein, OA Malik, WH Ong, JWF Slik, Sensors 21 (13), 4549

TOP PUBLICATIONS

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

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

GRANT DETAILS

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)

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 Health, Brunei Darussalam

INDUSTRY EXPERIENCE

Worked at City Bank as a application developer