Dr Owais Ahmed Malik
owais.malik@ubd.edu.bn
Senior Assistant Professor, School of Digital Science and Deputy Dean, School of Digital Science
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 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 Cybersecurity 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
Scopus Publications
Google Scholar Citations
Google Scholar h-index
Google Scholar i10-index
Scopus Publications
- A Low Complexity Convolutional Neural Network for Feature Extraction of Satellite Images Used in Path Loss Prediction
Usman Sammani Sani, Daphne T. C. Lai, and Owais Ahmed Malik
AIP Conference Proceedings, ISSN: 0094243X, eISSN: 15517616, Volume: 2643, Published: 10 January 2023
AIP Publishing - Dynamic Regressor/Ensemble Selection for a Multi-Frequency and Multi-Environment Path Loss Prediction
Usman Sammani Sani, Owais Ahmed Malik, and Daphne Teck Ching Lai
Information (Switzerland), eISSN: 20782489, Published: November 2022
MDPI AG - Segmentation for Multi-Rock Types on Digital Outcrop Photographs Using Deep Learning Techniques
Owais A. Malik, Idrus Puasa, and Daphne Teck Ching Lai
Sensors, ISSN: 14248220, Published: November 2022
MDPI AG - Decentralized Smart City of Things: A Blockchain Tokenization-enabled Architecture for Digitization and Authentication of Assets in Smart Cities
Usman Khalil, Owais Ahmed Malik, Ong Wee Hong, and Mueen Uddin
ACM International Conference Proceeding Series, Pages: 38-47, Published: 23 September 2022 - Automated Real-Time Identification of Medicinal Plants Species in Natural Environment Using Deep Learning Models—A Case Study from Borneo Region
Owais A. Malik, Nazrul Ismail, Burhan R. Hussein, and Umar Yahya
Plants, eISSN: 22237747, Published: August 2022
MDPI AG - Improving Path Loss Prediction Using Environmental Feature Extraction from Satellite Images: Hand-Crafted vs. Convolutional Neural Network
Usman Sammani Sani, Owais Ahmed Malik, and Daphne Teck Ching Lai
Applied Sciences (Switzerland), eISSN: 20763417, Published: August 2022
MDPI AG - Evaluation of photoantioxidant activities of SnO
2 , doped SnO2 , and dual-doped SnO2 using artificial neural networks and neuro-fuzzy system
Shaidatul Najihah Matussin, Owais Ahmed Malik, and Mohammad Mansoob Khan
Materials Today Communications, eISSN: 23524928, Published: August 2022
Elsevier BV - A Comparative Analysis on Blockchain versus Centralized Authentication Architectures for IoT-Enabled Smart Devices in Smart Cities: A Comprehensive Review, Recent Advances, and Future Research Directions
Usman Khalil, Owais Ahmed Malik, Mueen Uddin, and Chin-Ling Chen
Sensors, ISSN: 14248220, Published: July 2022
MDPI AG - Applications of computer vision and machine learning techniques for digitized herbarium specimens: A systematic literature review
Burhan Rashid Hussein, Owais Ahmed Malik, Wee-Hong Ong, and Johan Willem Frederik Slik
Ecological Informatics, ISSN: 15749541, Published: July 2022
Elsevier BV - Real-time visual inspection system for grading fruits using computer vision and deep learning techniques
Nazrul Ismail and Owais A. Malik
Information Processing in Agriculture, ISSN: 22143173, Pages: 24-37, Published: March 2022
Elsevier BV - Evolutionary Simulated Annealing for Transfer Learning Optimization in Plant-Species Identification Domain
Gusti Ahmad Fanshuri Alfarisy, Owais Ahmed Malik, and Ong Wee Hong
CIVEMSA 2022 - IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, Proceedings, Published: 2022 - A Blockchain Footprint for Authentication of IoT-Enabled Smart Devices in Smart Cities: State-of-the-Art Advancements, Challenges and Future Research Directions
Usman Khalil, Mueen-Uddin, Owais Ahmed Malik, and Saddam Hussain
IEEE Access, eISSN: 21693536, Pages: 76805-76823, Published: 2022
Institute of Electrical and Electronics Engineers (IEEE) - Comparison of Deep Q-Learning, Q-Learning and SARSA Reinforced Learning for Robot Local Navigation
Hafiq Anas, Wee Hong Ong, and Owais Ahmed Malik
Lecture Notes in Networks and Systems, ISSN: 23673370, eISSN: 23673389, Volume: 429 LNNS, Pages: 443-454, Published: 2022
Springer International Publishing - Proxy-Terms Based Query Obfuscation Technique for Private Web Search
Shariq Bashir, Daphne Teck Ching Lai, and Owais Ahmed Malik
IEEE Access, eISSN: 21693536, Pages: 17845-17863, Published: 2022
Institute of Electrical and Electronics Engineers (IEEE) - Accurate Location Estimation of Smart Dusts Using Machine Learning
Shariq Bashir, Owais Ahmed Malik, and Daphne Teck Ching Lai
Computers, Materials and Continua, ISSN: 15462218, eISSN: 15462226, Pages: 6165-6182, Published: 2022
Computers, Materials and Continua (Tech Science Press) - Investigating Automated Hyper-Parameter Optimization for a Generalized Path Loss Model
Usman Sammani Sani, Daphne Teck Ching Lai, and Owais Ahmed Malik
Frontiers in Artificial Intelligence and Applications, ISSN: 09226389, Volume: 345, Pages: 283-291, Published: 22 December 2021
IOS Press - Automated extraction of phenotypic leaf traits of individual intact herbarium leaves from herbarium specimen images using deep learning based semantic segmentation
Burhan Rashid Hussein, Owais Ahmed Malik, Wee-Hong Ong, and Johan Willem Frederik Slik
Sensors, ISSN: 14248220, Published: 1 July 2021
MDPI AG - Reconstruction of damaged herbarium leaves using deep learning techniques for improving classification accuracy
Burhan Rashid Hussein, Owais Ahmed Malik, Wee-Hong Ong, and Johan Willem Frederik Slik
Ecological Informatics, ISSN: 15749541, Published: March 2021
Elsevier BV - Ensemble Deep Learning Models for Fine-grained Plant Species Identification
Owais Ahmed Malik, Muhammad Faisal, and Burhan Rashid Hussein
2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2021, Published: 2021 - A Hybrid Combination of a Convolutional Neural Network with a Regression Model for Path Loss Prediction Using Tiles of 2D Satellite Images
Usman Sammani Sani, Daphne Teck Ching Lai, and Owais Ahmed Malik
International Conference on Intelligent and Advanced Systems: Enhance the Present for a Sustainable Future, ICIAS 2021, Published: 2021 - Integrated neuromuscular fatigue analysis system for soldiers' load carriage trial using DWT
D.N. Filzah Pg Damit, S.M.N. Arosha Senanayake, Owais A. Malik, and Nor Jaidi Tuah
International Journal of Biomedical Engineering and Technology, ISSN: 17526418, eISSN: 17526426, Pages: 1-18, Published: 2021
Inderscience Publishers - Establishing site response-based micro-zonation by applying machine learning techniques on ambient noise data: a case study from Northern Potwar Region, Pakistan
S. M. Talha Qadri and Owais Ahmed Malik
Environmental Earth Sciences, ISSN: 18666280, eISSN: 18666299, Published: January 2021
Springer Science and Business Media LLC - Deep autoencoder for identification of abnormal gait patterns based on multimodal biosignals
International Journal of Computing and Digital Systems, eISSN: 2210142X, Pages: 1-8, Published: 2021 - Water quality investigation in Brunei Darussalam: investigation of the influence of climate change
Stefan Herwig Gӧdeke, Owais Ahmed Malik, Daphne Teck Ching Lai, Anja Bretzler, Mario Schirmer, and Nur Hakimah Mansor
Environmental Earth Sciences, ISSN: 18666280, eISSN: 18666299, Published: 1 September 2020
Springer Science and Business Media LLC - Thermal maturity and TOC prediction using machine learning techniques: case study from the Cretaceous–Paleocene source rock, Taranaki Basin, New Zealand
Mohamed Ragab Shalaby, Owais Ahmed Malik, Daphne Lai, Nurhazwana Jumat, and Md Aminul Islam
Journal of Petroleum Exploration and Production Technology, ISSN: 21900558, eISSN: 21900566, Pages: 2175-2193, Published: 1 August 2020
Springer Science and Business Media LLC
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) - 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