Personal profile
Overview
Dr Shahriar Abdullah Al-Ahmed is a lecturer and researcher at the University of the West of Scotland, known for his engaging teaching style and innovative contributions to computing. Before joining UWS for his funded PhD studentship position, Dr Al-Ahmed taught computer science, focusing on programming for secondary school and sixth-form students. This experience nurtured his passion for making complex subjects accessible, a skill he brings to his current modules, such as Object-Oriented Programming and Network Security Issues.
Dr Al-Ahmed’s research focuses on sustainable technological solutions, including projects involving UAVs and IoT for real-time structural health monitoring, designed to benefit sectors like agriculture, healthcare, and energy. Additionally, he is a contributor to the 5GIR project, advancing next-generation connectivity. His journey from teaching at the secondary level to leading university research projects reflects his commitment to education and innovation, inspiring students to leverage technology to build a sustainable future.
Area of academic expertise - outline
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Mobile Communications, Networks, and Devices:
- HetNet design, network optimisation, resource allocation, interference management
- Cross-platform mobile app development
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5G Technologies and Systems:
- Small cell technologies, D2D communication
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Networked Flying Platforms:
- UAV base station placement, backhaul networks, multi-tier airborne networks
- UAV relay networks, coverage hole detection
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Internet of Things (IoT):
- Remote condition monitoring, fault detection, predictive maintenance
- IoT testbed development for smart homes, agriculture, energy-saving, healthcare
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Artificial Intelligence and Machine Learning:
- Big data analytics, machine learning algorithms
- Autonomous systems with minimal human intervention
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Cyber Security:
- Network monitoring, phishing detection
- AI-driven security solutions for threat detection and prevention
Desired research direction
- Focus:
- Prototype and real-time implementation of UAV/Drone and IoT-based structural health monitoring for a greener future
- Applications:
- Smart Cities
- Agriculture
- Healthcare
- Energy Production
Current teaching activities and interests
COMP08034 - Structures and Algorithms
COMP08068 - Programming for Mobile Devices
COMP11118 - Network Security Issues
COMP11123 - Enterprise Cybersecurity Management
COMP11124 - Object Orientated Programming.
Keywords
- S Agriculture (General)
- AI in Agriculture
- Precision Farming
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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SDG 4 Quality Education
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SDG 7 Affordable and Clean Energy
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
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SDG 13 Climate Action
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AI × IoT: increasing agricultural productivity of crops, orchards, and livestock management using smart agricultural space for achieving SDGs
Al-Ahmed, S. A. & Ahamed, T., 2 Jul 2024, IoT and AI in Agriculture: Smart Automation Systems for increasing Agricultural Productivity to Achieve SDGs and Society 5.0. Ahamed, T. (ed.). Singapore: Springer Singapore, p. 481-490 10 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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LSTM-based IoT-enabled CO2 steady-state forecasting for indoor air quality monitoring
Zhu, Y., Al-Ahmed, S. A., Shakir, M. Z. & Olszewska, J. I., 1 Jan 2023, In: Electronics. 12, 1, 12 p., 107.Research output: Contribution to journal › Article › peer-review
Open AccessFile13 Link opens in a new tab Citations (Scopus)72 Downloads (Pure) -
Semi-supervised learning based coverage hole detection in cellular networks
Al-Ahmed, S. & Shakir, M. Z., 2 Dec 2022, In: ITU Journal on Future and Evolving Technologies . 3, 3, p. 623-631 9 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile96 Downloads (Pure) -
Deep Q-Network based coverage hole detection for future wireless networks
Al-Ahmed, S., Shakir, M. Z. & Ahmed, Q. Z., 30 Nov 2020, AI for Emerging Verticals: Human-Robot Computing, Sensing and Networking. Shakir, M. Z. & Ramzan, N. (eds.). 2020 ed. IETResearch output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
6 Downloads (Pure) -
Optimal 3D UAV BS placement by considering autonomous coverage hole detection, wireless backhaul and user demand
Al-Ahmed, S., Shakir, M. Z. & Zaidi, S. A. R., 31 Dec 2020, In: Journal of Communications and Networks. 22, 6, p. 467-475 9 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile43 Link opens in a new tab Citations (Scopus)88 Downloads (Pure)