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Dr Ali Jwaid is a Senior Lecturer in Computer Science and Programme Leader for the BSc Software Engineering course at »ÆÉ«²Ö¿â, Leicester, UK. He has more than 18 years of combined experience across higher education, software engineering, cybersecurity, artificial intelligence, telecommunications, electronic engineering, industrial systems and professional training.

His work brings together academic research, curriculum leadership, industrial consultancy and the delivery of technology-focused projects. His areas of expertise include cybersecurity, secure software engineering, artificial intelligence, machine learning, Internet of Things systems, mobile application development, data science, Agile project management, digital transformation and engineering systems.

Before joining »ÆÉ«²Ö¿â, Dr Jwaid taught computing and engineering at Nottingham Trent University and worked in industry as an Engineering Team Supervisor at Misurata Free Zone Company. His industrial experience includes supervising engineering teams, port systems, automation equipment, PLC-based systems, IT networks, security infrastructure and the maintenance of high-value port machinery.

He has also provided professional training, Agile and Scrum coaching, and technical consultancy to telecommunications, industrial and public-sector organisations in the UK, Libya and Nigeria. His consultancy experience includes cybersecurity, ISO/IEC 27001 readiness, data-centre planning, ERP design and testing, information-security management, Agile transformation, telecommunications infrastructure and the development of IT governance policies and performance indicators. His profile combines technical expertise with extensive experience in programme leadership, professional education, stakeholder engagement and international collaboration.

• Cyber Technology Institute (CTI)
• Institute of Artificial Intelligence (IAI)
• Software Technology Research Laboratory, »ÆÉ«²Ö¿â

Dr Jwaid has published more than 20 peer-reviewed journal and conference papers in areas including:

• Artificial intelligence and data science for healthcare and the Internet of Medical Things
• Cybersecurity and network-attack analysis
• Renewable-energy modelling and forecasting
• Smart systems, embedded systems and IoT
• Technology-enhanced learning and STEM education
• Personalised and adaptive learning
• Mobile health technologies
• Control-engineering education

His work has appeared in IEEE conference proceedings and international journals. His publication record includes research on smart healthcare, inflammatory bowel disease support, Internet of Things security, ensemble machine learning-based intrusion detection, IPv6 denial-of-service attacks, renewable-energy modelling, photovoltaic systems, wind-energy assessment, smart-home systems and technology-enhanced education. He has an h-index of 11 and more than 350 citations as of June 2026.

Selected research contributions include:

• Understanding Best Practices in Control Engineering Education Using the Concept of TPACK – research examining how technological, pedagogical and subject knowledge can be integrated into engineering education.
• Intelligent Systems and Inflammatory Bowel Disease: Exploring the Potential for Outpatient Support – investigating intelligent and digital approaches to supporting people living with chronic gastrointestinal conditions.
• Exploring the Potential in Utilising Smartphones to Aid in the Treatment and Management of Inflammatory Bowel Disease – examining the use of mobile technologies for patient monitoring and self-management.
• Analysing Denial-of-Service Attack Traffic Signatures in IPv6 Local Networks Using Correlation Inspection – research into identifying and analysing network-attack behaviour.
• Design and Implementation of a Low-Cost Multifunctional Smart-House System – development and evaluation of an affordable IoT-based smart-home prototype.
• Mathematical Modelling of Wind-Turbine Power Curves – modelling and analysis supporting wind-energy performance assessment.
• Parameters Estimation of Solar Photovoltaic Modules Based on the Single-Diode Model – research into modelling and estimating the performance characteristics of photovoltaic modules.
• Learning Personalisation Based on Learning-Style Instruments – investigating adaptive learning approaches and the reliability of learning-style-based personalisation.

A complete publication list is available through Dr Jwaid’s Google Scholar profile.

Dr Jwaid’s research focuses on developing secure and intelligent connected systems by applying data science, artificial intelligence and machine learning, while addressing cybersecurity, privacy, ethics and responsible technology design. His application areas include healthcare, the Internet of Things, autonomous systems and renewable energy.

• Computer Systems
• Mobile Application and Big Data
• Software Engineering

• PhD in Computer Science at Nottingham Trent University, UK
• MSc in Computer and Communication Engineering at Nottingham Trent University, UK and Industrial Technology Faculty of Misrata, Libya
• BEng in Electronic Engineering at Misurata University, Libya

MSc Software Engineering BSc Computer Science, and BSc Software Engineering

• External Examiner, MSc Big Data Analytics, Birmingham City University, 2022–present
  Responsible for reviewing academic standards, assessment, moderation, curriculum currency, progression, award decisions and good practice.
• External Adviser, MSc Internet of Things, Canterbury Christ Church University, 2022–2023
  Contributing to course validation, curriculum review, quality assurance and alignment with UK higher-education standards.
• Technical Programme Committee and Review Roles, various international IEEE and computing conferences
  Contributing to peer review, programme development and quality assurance.
• Editorial and Reviewer Roles, international journals in cybersecurity, education, robotics, renewable energy and artificial intelligence.

• Cyber Technology Institute, »ÆÉ«²Ö¿â
• Institute of Artificial Intelligence, »ÆÉ«²Ö¿â
• Software Technology Research Laboratory, »ÆÉ«²Ö¿â
• Former professional member of IEEE
• Former member of the STEM Education Research Group, Nottingham Trent University
• Former member of the Trent Institute for Learning and Teaching
• Former member of the Game-Based Learning Research Group, Nottingham Trent University

Relevant professional development and training include:

• Independent Chair and Internal Examiner Training
• Postgraduate Certificate in Academic Practice-related training
• Essential Teaching Toolkit
• Initial Teaching Development Programme
• NVivo for Qualitative Data Analysis
• Safeguarding Training
• PREVENT Training
• Disclosure and Barring Service clearance
• Gottwald Crane Maintenance Training, Düsseldorf, Germany, covering electrical, hydraulic, PLC and Siemens industrial systems

Dr Jwaid also designs and delivers professional training aligned with certification frameworks including:

• CISSP preparation
• PMI Agile Certified Practitioner preparation
• EC-Council cybersecurity certification preparation
• Agile project management
• Cybersecurity governance and risk management
• Secure systems and network security

African Agricultural Value-Chain Knowledge Transfer Partnership

Dr Jwaid served as Principal Investigator, Academic Lead and Project Supervisor for an Innovate UK-funded Knowledge Transfer Partnership undertaken during 2023–2024, with a total value of approximately £142,000.

The project brought together »ÆÉ«²Ö¿â, the University of Ilorin and Microscale Embedded Limited in Nigeria. It focused on developing an Agricultural Value-Added Chain platform to connect farmers, buyers, service providers and other stakeholders across Nigeria.

Dr Jwaid’s contribution included:

• Project leadership and academic supervision
• Transfer of knowledge in secure service-oriented architecture
• Cybersecurity-by-design
• Agile software development and project management
• Data mining, analytics and machine learning
• Mobile and cloud platform development
• Technical capacity building
• Supporting collaboration between UK, Nigerian academic and industrial partners

The platform was intended to strengthen agricultural value chains, improve access to markets and information, support rural economic activity and enable the business partner to expand its research and development capabilities.

Internet of Medical Things research projects

Dr Jwaid has supervised several internally funded research projects involving the Internet of Medical Things, cybersecurity and malware analysis:

• Internet of Medical Things, 2022–2023
• Malware Analysis, 2023–2024
• Internet of Medical Things Malware Analysis, 2024–2025

Each project received approximately £3,000 through an internal Frontrunners or student research funding scheme.

Community-focused digital-health projects

Dr Jwaid has led and supervised mobile and intelligent-system projects addressing healthcare, addiction support, patient monitoring and inclusive digital services.

Cybersecurity and autonomous-systems research

Current projects include malware detection for autonomous vehicles, zero-trust healthcare systems, explainable artificial intelligence, runtime security and the resilience of cyber-physical sensing systems.

Victims’ Code educational applications with Leicestershire Police 2021-2022

Dr Jwaid supervised a collaborative final-year project with Leicestershire Police to develop interactive educational applications that help children and young people understand crime, victims’ rights and the Victims’ Code.

The project involved the development of two age-appropriate applications: one for primary-school children and another for secondary-school pupils. The applications used interactive characters, storylines, games and scenario-based questions to communicate victims’ rights in an accessible and engaging way. Students worked directly with Leicestershire Police and tested the applications with pupils in Leicester schools, using their feedback to improve the designs.

Dr Jwaid provided academic and technical supervision throughout the requirements analysis, application and game design, implementation, stakeholder engagement, testing and evaluation stages.

Further information: Students work with Leicestershire Police to design a new educational app for children

• Cybersecurity professional training programmes
• Software Engineering Degree Show
• Digital Festival
• Industrial Liaison Committee events
• Research seminars in cybersecurity, AI and IoT
• Hackathon competitions, where Dr Jwaid serves as a judge for prizes valued at up to £3,000
• PhD supervision, doctoral progress review, viva observation and research examination activities

Dr Jwaid has presented and contributed to numerous international conferences, including events organised or published by IEEE in the areas of:

• Engineering and STEM education
• Renewable energy
• Smart systems and IoT
• Cybersecurity and network analysis
• Mobile and digital health
• Artificial intelligence
• Software engineering for smart systems

His conference contributions include research papers, presentations, peer reviewing, technical programme committee membership, editorial activity and student/project supervision.

Recent and continuing research activity includes:

• Explainable artificial intelligence for healthcare prediction and coaching
• Reinforcement-learning-based malware detection for driverless vehicles
• Formal verification of zero-trust emergency-access mechanisms in healthcare IoT
• Machine learning and mechatronics for autonomous systems in variable dune environments
• Causal analysis of gambling behaviour and health outcomes
• AI and big-data analytics in higher education under Saudi Vision 2030
• Secure and resilient sensing for autonomous cyber-physical systems
• Internet of Medical Things malware analysis
• Mobile and AI-supported health-monitoring applications

1. Jwaid, A., Clark, S. and Ireson, G. Understanding Best Practices in Control Engineering Education Using the Concept of TPACK.
2. Al-Shamma, N. and Jwaid, A. Intelligent Systems and Inflammatory Bowel Disease: Exploring the Potential for Outpatient Support.
3. Al-Shamma, N. and Jwaid, A. Exploring the Potential in Utilising Smartphones to Aid in the Treatment and Management of Inflammatory Bowel Disease.
4. Zubair, A., Jwaid, A. and Salah, A. Analysing Denial-of-Service Attack Traffic Signatures in IPv6 Local Networks Using Correlation Inspection.
5. Howedi, A. and Jwaid, A. Design and Implementation Prototype of a Smart House System at Low Cost and Multi-functional.
6. Rehman, M. U., Alasbali, N. and Jwaid, A. (2024). Ensemble Machine Learning-Based Intrusion Detection System for Securing the Internet of Things. 2024 International Conference on Engineering and Emerging Technologies (ICEET).
7. Teyabeen, A., Akkari, F. and Jwaid, A. Mathematical Modelling of Wind-Turbine Power Curves.
8. Teyabeen, A., Elhatmi, N., Essnid, A. and Jwaid, A. Parameters Estimation of Solar PV Modules Based on the Single-Diode Model.
9. Alzain, A., Clark, S., Ireson, G. and Jwaid, A. Learning Personalisation Based on Learning-Style Instruments.

Misurata Free Zone Company, Libya — 2025–2026

Dr Jwaid provided strategic and technical consultancy supporting the development of the company’s digital, information-security and telecommunications infrastructure.

His work included data-centre planning, ERP requirements and testing, cybersecurity risk assessment, network security, business continuity, disaster recovery, systems integration, supplier evaluation, 4G base-station and antenna planning, and the development of a phased infrastructure-improvement roadmap.

He also supported the organisation’s preparation for ISO/IEC 27001 by developing an implementation timeline and a technical and financial certification proposal. This work included information-asset identification, risk assessment, security controls, incident management, organisational responsibilities and continual-improvement processes.

In addition, Dr Jwaid contributed to policies and procedures for the Server Management and Information Security Unit and developed IT key performance indicators covering system availability, security performance, incident response, project delivery, reliability and user support. He also provided Agile and Scrum coaching to support iterative delivery, backlog management, sprint planning and continuous improvement.

Libyan Iron and Steel Company — 2023

Dr Jwaid provided consultancy in project and programme management, Agile delivery, Scrum, ERP planning, cybersecurity governance and digital transformation.

The work focused on strengthening project delivery, improving coordination between technical and business teams, supporting risk and stakeholder management, and introducing structured Agile practices for technology and organisational-change initiatives.

Libyana Telecommunications Company — January–February 2025

Dr Jwaid designed and delivered professional training for telecommunications and IT specialists in cybersecurity, CISSP-aligned preparation, PMI-ACP preparation, Agile project management, Scrum, risk governance and secure network management.

The programme combined theoretical knowledge, practical activities and certification-oriented preparation to strengthen participants’ cybersecurity and project-delivery capabilities.

The Libyan Academy for Communications and Informatics — August 2025

Dr Jwaid delivered cybersecurity training in collaboration with the Academy as part of candidates’ preparation for EC-Council certification.

Participants included professionals from Hatif Libya and Misurata Free Zone Company. The programme covered threat identification, network security, risk assessment, security controls, incident response and practical certification preparation.

Consultancy and professional expertise

Dr Jwaid contributes to consultancy, knowledge exchange, CPD and bespoke professional training in cybersecurity, ISO/IEC 27001 readiness, information-security governance, secure software engineering, data-centre planning, ERP assurance, Agile project management, Scrum coaching, artificial intelligence, data analytics, IoT and telecommunications infrastructure.

He welcomes opportunities to collaborate with industry, public-sector organisations and academic partners through appropriate university consultancy, professional-development and knowledge-exchange arrangements.

• Hussein Hennaoui
  Use of Mechatronics and Machine Learning in Autonomous Systems in Variable Dune Areas
• Muteb AlHamad
  The Role of Artificial Intelligence and Big Data Analytics in Shaping the Future of Higher Education: Evidence from Saudi Public Universities under Vision 2030
• Noel Jengwe
  Real-Time Anti-Malware Solution for Driverless Cars Using Reinforcement Learning
• Adomla Owaraye
  Formal Verification and Conformance Evaluation of Zero-Trust User Attestation for Emergency Access in Healthcare Internet of Things Environments
• Loveday Okoro
  Causal Analysis of Gambling Behaviours and Health Outcomes in the UK Using Data Science and Explainable Artificial Intelligence
• God’s Fred-Ibe
  Explainable Artificial Intelligence for Diabetes Risk Prediction and Coaching with a Clinician in the Loop

African Agricultural Value-Chain Knowledge Transfer Partnership

• Funding agency: Innovate UK/UKRI
• Funding type: Knowledge Transfer Partnership
• Approximate value: £142,000
• Period: 2023–2024
• Role: Principal Investigator, Academic Lead and Project Supervisor
• Business partner: Microscale Embedded Limited, Nigeria
• Academic collaborators: »ÆÉ«²Ö¿â and University of Ilorin
• Research areas: Agricultural technology, secure software architecture, IoT, machine learning, data analytics, mobile platforms, Agile delivery and knowledge transfer

The project aimed to design and develop a secure and extensible digital platform connecting agricultural stakeholders in Nigeria. It supported Microscale Embedded Limited in developing new capabilities in machine learning, data analytics, cybersecurity and service-oriented architecture.

Victims’ Code Educational Mobile Applications and 3D Game

• Project title: Students Work with Leicestershire Police to Design a New Educational App for Children
• Partner organisation: Leicestershire Police
• Period: 2022
• Role: Academic Project Lead and Final-Year Project Supervisor
• Project type: Community safety, educational technology and serious-game development
• Research areas: Mobile application development, 3D game development, interactive learning, victim rights and public engagement

Dr Ali Jwaid supervised a collaborative project between »ÆÉ«²Ö¿â students and Leicestershire Police to design educational digital applications that help children and young people understand crime, victims’ rights and the Victims’ Code.

The students worked directly with Leicestershire Police and received feedback from local schools. Two separate applications were developed: one aimed at primary-school children up to the age of 11 and another for secondary-school pupils up to the age of 17. The applications used interactive characters, storylines, games and scenario-based questions to explain victims’ rights in an accessible and age-appropriate way. (»ÆÉ«²Ö¿â)

The project’s main objective was to make information about crime and the twelve rights contained in the Victims’ Code easier for children to understand. One application used a map-guided storyline in which children progressed by learning about a victim’s right and answering a related question before moving to the next stage. The applications were tested with pupils in Leicester schools, allowing the students to gather user feedback and improve their designs. (»ÆÉ«²Ö¿â)

Dr Jwaid guided the students through stakeholder engagement, requirements analysis, application and game design, implementation, testing and evaluation. The project demonstrated how mobile applications and serious games can translate complex public-service information into engaging educational experiences with potential for wider use across the UK.

Project article: Students work with Leicestershire Police to design a new educational app for children

Digital Support for Addiction Recovery and Healthier Lifestyles

• Project title: Mobile Application for Addiction Recovery and Healthier Lifestyle Support
• Funding organisations: Centre for Ethnic Health Research and the University of Leicester
• Approximate value: £3,500
• Role: Project Lead and Mobile Application Development Supervisor
• Project type: Community-focused digital health and wellbeing project
• Research areas: Mobile health, addiction recovery, inclusive technology, behavioural support and community engagement

The project focuses on developing a mobile application to support people seeking to reduce or stop harmful alcohol and drug use and adopt healthier lifestyles. Although the project places particular emphasis on the needs and experiences of people from minority ethnic backgrounds, the application is being designed as an inclusive resource that can benefit users from all communities.

Dr Jwaid’s role includes leading and supervising the technical development of the mobile application, translating community and stakeholder requirements into functional features, and supporting the design of an accessible, secure and user-centred digital solution. The application is intended to provide practical guidance, recovery resources, wellbeing support, progress-tracking functions and signposting to relevant services.

Cybersecurity and Vulnerability Assessment for the Internet of Medical Things

• Funding source: Internal Frontrunners student research funding
• Period: 2022–2023
• Approximate value: £3,600
• Role: Project Lead and Supervisor
• Focus: Cybersecurity assessment of Internet of Medical Things systems, including the identification and analysis of vulnerabilities in connected medical devices, communication networks and supporting IoMT applications.

Malware Analysis

• Funding source: Internal Frontrunners/student research funding
• Period: 2023–2024
• Approximate value: £3,000
• Role: Project Lead and Supervisor
• Focus: Malware detection and cybersecurity analysis

Internet of Medical Things Malware Analysis

• Funding source: Internal Frontrunners/student research funding
• Period: 2024–2025
• Approximate value: £3,000
• Role: Project Lead and Supervisor

Focus: Security threats, malware analysis and resilience in connected medical systems

• External Examiner for MSc Big Data Analytics, Birmingham City University
• External Adviser for MSc Internet of Things, Canterbury Christ Church University
• Editor, editorial-board member and reviewer for cybersecurity, engineering, AI and education journals
• Reviewer for IEEE Transactions on Education and other international journals
• Technical Programme Committee member for IEEE Software Engineering for Smart Systems workshops
• Programme and steering committee contributions to international conferences
• International professional trainer in cybersecurity and Agile project management
• Principal Investigator and Academic Lead for an Innovate UK-funded Knowledge Transfer Partnership
• Consultant to major industrial and telecommunications organisations in Libya
• Research supervisor across AI, cybersecurity, IoT, healthcare and autonomous-systems topics

 Agricultural technology and knowledge transfer in Nigeria

The Knowledge Transfer Partnership supported the development of a national agricultural value-chain platform intended to connect farmers, buyers and service providers. The project transferred expertise in cybersecurity, machine learning, data analytics and Agile software development to the business partner while supporting its plans to expand research and development activities and create new skilled employment.

Cybersecurity capacity building in Libya

Professional training delivered through Libyana Telecommunications and the Libyan Academy for Communications and Informatics strengthened participants’ knowledge of cyber risk, network defence, security governance and internationally recognised certification frameworks.

Data-centre and security transformation

Consultancy for Misurata Free Zone Company supported the organisation’s planning for secure data-centre infrastructure, ERP implementation, telecommunications capability and ISO/IEC 27001 readiness.

Digital health and IBD research

Dr Jwaid’s published research explored the use of smartphones, artificial intelligence and machine learning to support the treatment and outpatient management of Inflammatory Bowel Disease. The work highlighted opportunities for symptom and lifestyle monitoring, improved patient–clinician communication, personalised support and intelligent clinical decision tools.

Internet of Medical Things security

Dr Jwaid’s IoMT research focuses on the cybersecurity of connected healthcare technologies, including vulnerability identification, malware analysis, secure communication, zero-trust access and the protection of medical devices and sensitive patient data.

Accessible smart-home and assistive embedded systems

Dr Jwaid’s research has contributed to the development of affordable and user-friendly embedded systems for independent living. This includes a low-cost, scalable smart-home prototype integrating Arduino, sensors, actuators and a mobile interface, as well as a smart glove that uses ultrasonic sensing and vibration feedback to support indoor mobility for people with visual impairments.

Renewable energy modelling and low-carbon research

Dr Jwaid’s renewable-energy research includes mathematical modelling, simulation and performance prediction for solar photovoltaic modules and wind-energy systems. His publications cover solar PV parameter estimation, wind-turbine power-curve modelling, wind-resource assessment, global solar-radiation prediction and statistical methods for estimating wind-energy potential. This work supports more accurate renewable-energy planning, system design and forecasting, contributing to improved energy efficiency and the transition towards lower-carbon energy systems.

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