OUR STORY
MOTIVES INTERNATIONAL LIMITED (MIL) is dedicated to experimenting with cutting edge technologies. MIL core business focuses on the development of complex scalable Research, Business and Domestic software systems through the application and integration of Machine Learning, Formal Methods, Cybersecurity, Data Science, Cloud Computing, Internet of Things and Project Management techniques.
At MIL, we have the vision of making formal methods accessible to everyone and using them to develop Research, Business and Domestic software systems for different domains/industries.
At MIL, we are also on a mission to help other researchers to make the dreams of research a reality. We can help maximise your research impact through good research software. Consultancy, development, training, grant support, and technical support are just a few ways we can help.
Our afore-mentioned system types herein will in general contribute towards reducing critical errors that may cause serious problems for users working within:
-
Safety critical (e.g., control system for a chemical manufacturing plant, aircraft, the controller of an unmanned train metro system, a controller of a nuclear plant),
-
Mission critical (e.g., navigational system for a spacecraft, software controlling a baggage handling system of an airport),
-
Business critical (e.g., the customer accounting system in a bank, stock-trading system, ERP system of a company, Internet search engine) and Security critical domain areas.
-
Domestic critical (e.g., smart home critical software applications i.e. for domestic/residential use)
WHAT WE DO
Motives Software Engineers (MSE) apply novel engineering principles to the development of research, business and domestic software systems for use in different domains and industries. MOTIVES INTERNATIONAL LIMITED (MIL) provides collaborative research opportunities for researchers all over the world and support the process of bidding for research grants. MIL Management Team provides MSEs full portfolio of MIL research, and MIL is a hub for the Research Software Engineer (RSE) community.
We can help maximise your research impact through good research software. Consultancy, development, training, grant support, and technical support are just a few ways we can help.
OUR PROJECTS
T-SXM
This project developed an algorithm called T-SXM which is developed using the Java programming language based on the Stream X-Machines (SXM) theory which is an intuitive and powerful technique for modelling real world problems formally. The T-SXM algorithm is designed to provide developers with a tool to test the correctness of their implemented systems which can potentially resolve the problem of effectiveness that the other testing tools are facing.
VIPER-MEDICINE
VIPER-MEDICINE focuses on creating a virtual environment for medical professionals to test and verify their medical practices before administrating to patients. Furthermore, this project also focuses on personalising nutrients to manage, mitigate, and prevent chronic diseases.
PONTL-FISM
This project focuses on developing: A Novel Set of Software Metrics for Software Fault Prediction
OUR TEAM
Dr. Emmanuel Ogunshile
Founder & CEO
Dr Emmanuel Ogunshile, Ph.D., is Programme Leader for BSc(Hons) Data Science, PhD Director of Studies and former Chair Athena SWAN charter process within the School of Computing and Creative Technologies (SCCT) at the University of the West of England (UWE Bristol), UK - conducting highly innovative Teaching, Research, Scholarship and Administration in Computer Science, Software Engineering and Data Science since 1st of September 2014.
Dr Ogunshile is internationally recognised as a strategic and transformational leader in teaching, learning, Research and Administration, known for his continued commitment to student success and novel innovations within the computer science, software engineering and data science research landscapes, as well as for his positive influence on colleagues.
Dr Ogunshile is committed to equity for all, and takes particular interest in the advancement of women and Black, Asian global majority groups in science, technology, engineering, arts and mathematics. Dr Ogunshile has been working in Higher Education since 2006, having started his career as Software Engineer with Deloitte and Touche in Washington DC, USA and Sheffield, UK, following his studies at The University of Sheffield, UK.
Dr Ogunshile is significantly influencing the transformation of computer science, software engineering and data science professions as a whole, through his portfolio of prior external research grants, current collaborative research projects, industry work experiences, executive appointment as an entrepreneur (CEO and President of Motives International Ltd since 9th July 2021), developing strategic responses to global challenges through the use of formal techniques and Artificial Intelligence in a vast array of domains for engineering novel solutions for creating correct software systems (i.e. error free systems) and creating software systems for modeling, treating, managing, preventing chronic diseases and contributing to issues of diversity and inclusion.
Since the last well over 10 years at UWE Bristol, Dr Ogunshile has been conducting highly innovative Teaching, Research, Scholarship and Administration in Computer Science, Software Engineering and Data Science.
Dr Ogunshile teach students at all levels: 1st, 2nd, 3rd, Masters and PhD in Computer Science and Software Engineering.
Previously, from 2nd September 2013 to 31st August 2014, Dr Ogunshile was working at Loughborough University UK as a Senior Research Fellow on the prestigious EPSRC and Jaguar Land Rover well over £12 million funded Collaborative Research Project involving six major UK Universities (University of Cambridge, Manchester, Loughborogh, Warwick, Sheffield and Leeds).
Prior to his job and role at Loughborough University, from 1st of September 2011 to 31st August 2013, Dr Ogunshile was working at the prestigious Surrey Space Centre, The University of Surrey, UK as a Post Doctoral Research Fellow.
Dr Ogunshile is a passionate British Computer Scientist, Software Engineer, System Designer, Scientific Inventor, Goal Getter, Achiever and a Gentleman.
Dr Ogunshile has diversified experience having successfully worked as a Software Engineer, Intranet Manager, Systems Manager, Teaching Assistant and Senior Research Scientist in Software and Systems Engineering on other occasions.
Dr Ogunshile is a Software professional with over 15 years broad experience covering analysis and design, development, service, testing, technical writing, user training, team leading and negotiation. Advocate for collaboration and adoption of new technologies to improve information sharing and collaboration. Focused on a user-centric approach to software development to ensure usable software that solves real problems for real people.
Previously, Dr Ogunshile graduated with an MSc(Eng) in Advanced Software Engineering (2005) following a BEng(Hons) in Software Engineering (2003) and a Ph.D in the subject of Computer Science (2011) all at The University of Sheffield, England, UK. The University of Sheffield is a member of the prestigious Russell Group of research intensive universities.
His Ph.D thesis was titled: A Machine with Class: A Framework for Object Generation, Integration and Language Authentication: (FROGILA).
Dr Ogunshile's research interests address the intersections of theoretical computer science (i.e. the use of formal techniques like X-Machines and Communicating X-machines) for Automated Specification, Verification and Testing of Software and Hardware, Model Based System Engineering, Object-Oriented Languages, Type Theory, Cloud Computing, Big Data, Machine Learning, Robotics, Artificial Intelligence, Data Science, Internet of Things, Cyber-Security and Natural Language Processing.
The goal of Dr Ogunshile's research is ultimately to provide better tools to aid in the engineering of reliable, efficient and portable applications for modern computer systems. Hence, his research revolves around the integration and development of formal techniques and Machine learning techniques for the development of automated tools, their design, specification, verification and testing with respect to complex scalable object-oriented software and hardware systems within an integrated and collaborative development environment.
Dilshan Jayatilake
CTO & PhD Researcher
Dilshan Jayatilake obtained his BSc degree in Information Technology from the Sri Lanka Institute of Information Technology and worked in the capacity of an Information Technology executive attached to the Galadari Hotel. He then worked as a software engineer for Micro Research Group (Pvt) Ltd in Sri Lanka attached to a research-based software development project with tasks to develop specialised optimisation algorithms. Dilshan joined UWE Bristol in 2016 and obtained his MSc in Information Technology, where he successfully completed research on mathematical aspects of blackjack card counting algorithms. Then, he joined another master's degree at UWE Bristol in Software Engineering to advance his software engineering education, where he developed interest in the subject area of cancer care informatics. He has successfully completed research on developing a business process driven change management framework applied and validated using a cancer care functional area, namely the Cell Therapy and Applied Genomics (CTAG) of King Hussain Cancer Center (KHCC), where the CTAG processes were developed using BMPNS 2.0 and validated by software engineering education, where he developed interest in the subject area of cancer care informatics. He has successfully completed research on developing a business process driven change management framework applied and validated using a cancer care functional area, namely the Cell Therapy and Applied Genomics (CTAG) of King Hussain Cancer Center (KHCC), where the CTAG processes were developed using BMPNS 2.0 and validated by earlier KHCC research. Currently, Dilshan is pursuing further advanced research in software engineering with reference using formal verification and machine learning methodologies in healthcare domain within the context of a PhD journey.
Khoa Phung
CIO & PhD Researcher
Khoa Phung obtained his BSc in Computing and MSc in Information Technology from University of the West of England (UWE) in 2018 and 2019, respectively. He then started working at Invest West which is a start-up company based in Bristol. At Invest West, he developed a digital platform to help connect investors to businesses in need of development in the South West of England. Currently, Khoa is pursuing further advanced research in improving software fault prediction by using Stream X-Machine – a formal modelling method – and machine learning techniques within the context of a PhD journey.
PUBLICATIONS
Title | Conference | Download Link |
---|---|---|
An algorithm for implementing a minimal stream X-Machine model to test the correctness of a system | CONISOFT 2020 | https://ieeexplore.ieee.org/document/9307784 |
Covid-19 Care – A mobile application to help connect volunteers and vulnerable people in the community during the Covid-19 lockdown | CONISOFT 2020 | https://ieeexplore.ieee.org/document/9307802 |
A novel software fault prediction approach to predict error-type proneness in the Java programs using Stream X-Machine and machine learning | CONISOFT 2021 | https://ieeexplore.ieee.org/document/9653274 |
Modeling Diseases with Stream X-Machine | CONISOFT 2021 | https://ieeexplore.ieee.org/document/9653217 |
GET IN TOUCH
Let's work together. You can submit the following form or contact us at info@motivesltd.co.uk