Skip to main content

Biography

Dr. Omer Ali is currently serving as a postdoctoral researcher at Walton Institute (West Campus, SETU) investigating real-time application of lightweight machine learning
models on embedded platforms for WSN and IoT applications. He is also actively involved in investigating the impact of battery utilization, its State of Health (SOH) and State of Charge (SOC) especially in low-power electronics applications including WSN and IoT. During his PhD tenure, Dr. Ali proposed a novel MAC protocol to enhance the device lifetime of battery powered electronic devices. 

Currently, he is actively engaged in applied AI research in Smart Agriculture, Food Processing, and Health care related applications. 

Prior to joining SETU, he served as a senior lecturer at NFC Institute of Engineering & Technology (NFC IET) Pakistan in the department of Electrical Engineering since 2010.

During his tenure at NFC IET Multan, Pakistan, Dr. Ali taught the following undergraduate courses:

  1. Computer Networks
  2. Digital Logic Design
  3. Programming Fundamentals
  4. Object Oriented Programming I & II
  5. Wireless & Mobile Communications
  6. Digital Signal Processing
  7. Engineering Ethics
  1. Ali, Omer., 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.
  2. Ali, Omer., Ishak, M. K., Ahmed, A. B., Salleh, M. F. M., Ooi, C. A., Khan, M. F. A. J., & Khan, I. (2022). On-line wsn soc estimation using gaussian process regression: An adaptive machine learning approach. Alexandria Engineering Journal, 61(12), 9831-9848.
  3. Ali, Omer., Ishak, M. K., & Bhatti, M. K. L. (2021). Emerging IoT domains, current standings and open research challenges: a review. PeerJ Computer Science, 7, e659.
  4. Ali, Omer., & 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.
  5. Ali, Omer., 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.
  6. Ali, Omer., Nasir, F., & Tahir, A. A. (2011, December). Analysis of OFDM parameters using cyclostationary spectrum sensing in cognitive radio. In 2011 IEEE 14th International Multitopic Conference (pp. 301-305). IEEE.
  7. Ali, Omer., Ishak, M. K., Memon, F., & Asaari, M. S. M. (2022, May). Estimation of battery state-of-charge using feedforward neural networks. In 2022 19th international conference on electrical engineering/electronics, computer, telecommunications and information technology (ECTI-CON) (pp. 1-4). IEEE.
  8. Ali, Omer., 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.
  9. Hussain, M., Ali, Omer., Raza, N., Zabiri, H., Ahmed, A., & Ali, I. (2023). Recent advances in dynamic modeling and control studies of biomass gasification for production of hydrogen rich syngas. RSC advances, 13(34), 23796-23811.
  10. Yusoff, Z. Y. M., Ishak, M. K., Rahim, L. A., & Ali, Omer. (2022, May). Elliptic curve cryptography based security on mqtt system for smart home application. In 2022 19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) (pp. 1-4). IEEE.
  11. Ali, Omer., 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: Proceedings of SympoSIMM 2020 (pp. 175-186). Singapore: Springer Singapore.
  12. Ali, Omer., 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.
  13. Ali, Omer., 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.
  14. Ali, Omer., Ishak, M. K., & Bhatti, M. K. L. (2022). A Machine Learning Approach for Early COVID-19 Symptoms Identification. Comput. Mater. Contin, 70, 3803-3820.
  15. Ali, Omer., Ishak, M. K., & Bhatti, M. K. L. (2021). Early COVID-19 symptoms identification using hybrid unsupervised machine learning techniques. Computers, Materials and Continua, 69(1), 747-766.
  16. Ali, Omer. , & Ishak, M. K. (2021). Energy efficient scheme for wireless sensor networks based on contikimac protocol. J. Eng. Sci. Technol.(JESTEC), 16, 4666-4686.
  17. Bhatti, M. K. L., Ali, Omer., Shaukat, A. A., Awan, W. Q., Javed, A., Mehmood, A., & Raza, Z. (2015). SENSITIVITY & TRANSIENT ANALYSIS OF STATCOM USING MATLAB/SIMULINK. Science International, 27(4).
  18. Aleem, W., Ahmad, S., Qamar, S., Hussain, M., Ali, Omer., & Rauf, A. (2024). Exploring Machine Learning Techniques for Accurate Prediction of Methane Hydrate Formation Temperature in Brine: A Comparative Study. Arabian Journal for Science and Engineering, 1-14.
  19. Rahul Mhapsekar, Muhammad Ifitkhar, Faizan Malik, Omer Ali, and Lizy Abraham (2024). Building Trust in AI-driven Decision Making for Cyber-Physical Systems (CPS): A Comprehensive Review. IEEE ETFA 2024. DOI: 10.1109/ETFA61755.2024.10710855
  20. Ilias Cherkaoui, Omer Ali, and Jerry Horgan (2024). Novel Hybrid Post-Quantum Encryption Design on Embedded Devices. IEEE ETFA 2024. DOI: 10.1109/ETFA61755.2024.10710884

Pakistan Engineering Council (PEC) - Professional Engineer

  1. Microsoft Certified Solutions Associate (MCSA)
  2. Microsoft Certified Technology Specialist (MCTS) - Hyper-V
  3. Microsoft Certified Professional (MCP)
  4. Microsoft Certified Solutions Expert (MCSE) - Private and Hybrid Cloud
  5. Microsoft Certified Solutions Expert (MCSE) - Server Infrastructure
  6. Microsoft Certified Trainer (MCT) - Server Infrastructure
  7. Microsoft Certified Educator (MCE) - Digital Literacy and Pedagogy
  8. Cisco Certified Network Associate (CCNA) - Routing & Switching
  9. Cisco Certified Network Associate (CCNA) - CyberOPs
  10. Cisco Certified Internetwork Expert (CCIE) - Data Center (Written)
  11. Palo Alto Networks, Accredited Configuration Engineer (ACE)

Taught Courses

Level 7 Waterford

BSc in Computing

Code

KCOMP

Level

7

Duration

3 years

Delivery

parttime

Location

Waterford
Level 8 Waterford

BEng (Hons) in Electronic Engineering

Option Entry

Code

SE700

Level

8

Duration

4 years

Delivery

Fulltime

Location

Waterford