Dr. Omer Ali – Artificial Intelligence and Machine Learning Expert

Profile

Dr. Omer Ali specializes in AI, ML, WSN, IoT, IIoT systems and its integration with 5G and beyond 5G networks. Over 15 years of professional experience working with leading & cutting-edge technologies. I enjoy working in a multi-verse of technologies to aptly enhance my technical skills and provide consultation to the optimize business processes.

Computer Simulation & Modelling

WSN, IoT, IIoT, and Systems Integration

Computer Networks & Architecture Design

Still & Motion Graphics

Recent Research Projects

Featured Recent Projects

Featuring research projects, product and prototype designs encompassing multiple engineering domains

Adaptive Battery SOC Estimation

Incorporating lightweight, scalable, and adaptive ML algorithms for accurate battery SOC estimation for embedded applications.

Realtime Environmental Sensing

Applied research in designing Sensing as a Service (S²aaS) for real-time environment sensing, AQI monitoring, event alerts and forecasting.

Adaptive MAC protocols for WSN & IoT Applications

Designing lightweight, scalable, and adaptive MAC protocols for WNS and IoT applications to enhance battery lifetime.

Medical Diagnosis using Machine Learning

Modeling human physiological features for early detection, and symptoms identification of diseases in health-care environment.

Securing next generation IoT and IIoT networks

Design of software based firewalls, and advance security architecture for next generation IoT and IIoT systems.

Real-time Industrial Equipment Fault Diagnosis

Real-time fault identification of Industrial Machines using advanced Deep Neural Network and Industrial equipment modelling.

Recent Publications

Ali Omer, Mohamad Khairi Ishak, Ashraf Bani Ahmad, Mohd Fadzli Mohd Salleh, Chia Ai Ooi, Muhammad Firdaus Akbar Jalaludin Khan, and Imran Khan, “On-line WSN SOC estimation using Gaussian Process Regression: An Adaptive Machine Learning approach”, Alexandria Engineering Journal, 61(12), 9831-9848.

Ali, O., Ishak, M. K., Ooi, C. A., & Bhatti, M. K. L. (2022). Battery characterization for wireless sensor network applications to investigate the effect of load on surface temperatures. Royal Society open science, 9(2), 210870.

Ali, O., Ishak, M. K., Bhatti, M. K. L., Khan, I., & Kim, K. I. (2022). A Comprehensive Review of Internet of Things: Technology Stack, Middlewares, and Fog/Edge Computing Interface. Sensors, 22(3), 995.

Ali, O., & Ishak, M. K. (2021). Energy Efficient Scheme for Wireless Sensor Networks based on CONTIKIMAC Protocol. Journal of Engineering Science and Technology, 16(6), 4666-4686.

Omer, A., Khairi, M., & Ishak, M. K. L. (2022). A Machine Learning Approach for Early COVID-19 Symptoms Identification. Computers, Materials, & Continua, 3803-3820.

Ali, O., Ishak, M. K., & Bhatti, M. K. L. (2021). Emerging IoT domains, current standings, and open research challenges: a review. PeerJ Computer Science, 7, e659.

Ali, O., Ishak, M. K., & Bhatti, M. K. L. (2021). Early COVID-19 symptoms identification using hybrid unsupervised machine learning techniques. Computers, Materials and Continua, 747-766.

Ali, O., Ishak, M. K., & Bhatti, M. K. L. (2021). Adaptive clear channel assessment (A-CCA): energy efficient method to improve wireless sensor networks (WSNs) operations. AEU-International Journal of Electronics and Communications, 131, 153603.

Ali, O., Ishak, M. K., & Bhatti, M. K. L. (2021). Internet of things security: Modelling smart industrial thermostat for threat vectors and common vulnerabilities. In Intelligent Manufacturing and Mechatronics (pp. 175-186). Springer, Singapore.

Ali, O., & Ishak, M. K. (2020, April). Bringing intelligence to IoT edge: Machine learning based smart city image classification using Microsoft azure IoT and custom vision. In Journal of Physics: Conference Series (Vol. 1529, No. 4, p. 042076). IOP Publishing.

Omer Ali, Mohamad Khairi Ishak, Furqan Memon, and Mohd Shahrimie Mohd Asaari, “Estimation of Battery State-of-Charge using Feedforward Neural Networks”, ECTICON 2022, Thailand.

Ali, O., Ishak, M. K., Zawawi, M. A. M., Seman, M. T. A., Bhatti, M. K. L., & Yusoff, Z. Y. M. (2020, June). A MAC protocol for energy efficient wireless communication leveraging wake-up estimations on sender data. In 2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications, and Information Technology (ECTI-CON) (pp. 45-50). IEEE.

Ali, O., Ishak, M. K., Wuttisittikulkij, L., & Maung, T. Z. B. (2020, January). IoT Devices and Edge gateway provisioning, realtime analytics for simulated and virtually emulated devices. In 2020 International Conference on Electronics, Information, and Communication (ICEIC) (pp. 1-5). IEEE.