Garry Higgins

Developed bespoke system to accurately calibrate and measure temperature using computer vision. Experience of successfully taking product from concept phase to prototype to manufacturing and commercial release. Project manage cross-discipline teams to bring R&D projects from concept to manufacturing floor and commercial release; minimising cost while maximising business value R&D: - Prototyping of temperature measurement systems with high levels of accuracy - Prototyping of computer vision based measurement systems and image processing pipeline - Development of numerous software systems to implement the above - Lead other engineers in R&D projects Manufacturing: - Manufacture of Class I medical device - Continuous improvement of manufacturing processes - Incident support and resolution

Data Analytics, Machine Learning, Activity Classification, Product Development, Data Science, Client Interaction, Business Intelligence Highlights: - Activity Classification and Signal Processing using IMU data (Python) - Data Analytics, including supervised and unsupervised ML - Data Visualization - Dashboard development (Power BI, DAX, SQL) - Azure infrastructure training - Writing funding application documents Activity Classification Project: - Signal processing of accelerometer and gyroscope signal data from IMU. - Classification of lameness level of sheep from ear-mounted IMU. - Feature extraction in time, frequency and spacial domain. - Application of supervised learning techniques for classification. - Research Partners: University of Nottingham School of Veterinary Medicine and Science, Intel Agriculture Ecosystem Project: - Design and development of ecosystem to allow for traceability of produce from the source at the farm, to the final product that it consumed. - Development of database back-end for recording and retrieval of client and customer data. - Development of KPI Dashboards to track information such as sales, stock levels, finance availability, plan adherence and crop yield levels. - Alerts system that leveraged live data and external data sources. Other highlights: - Azure infrastructure training. - Remote team leading. - "Field-to-fork" traceability assurance. - Early Stage projects: Route Planning Optimisation, Adaptive Clinical Trials.

Subsea Integrity Management Engineer. In this role I have been developing quantitative tools to aid our clients in developing their integrity management (IM) strategies. The tool is designed to move our clients away from a system based on individuals knowledge and experience and towards one of centralised data storage, information sharing, quantitative analysis and auditable strategy development. The tool provides a systematic approach to the process a graphical presentation of results to aid interpretation (RBI, Bow Ties and Risk Matrix). I also provide engineering services support for the tool, creating clients IM deliverables; including FMECAs, Risk Based Inspection analysis and reports and procedural documents. Highlights: - Integrated tool across BP Global (exceeding our initial 2015 target of 2 assets). - Tool found to reduce man-hour required to complete FMECA process by 75%. - Modularised tool inputs to improve accuracy and auditability of financial analysis. - Part of small team that has secured multi-million euro contracts despite large-scale industry downturn and redundancies. - Developed Dashboard tool for KPI tracking. - Leading senior engineers in integrity management process. Previously this process was done by a 3rd party. - Working directly with clients in multiple geographic locations (through Skype and travel to clients offices). - Work has resulted in vastly expanded contract for 2016. - Reduced size of documents such as operational management and integrity management procedures by a factor of 10 by removing superfluous content and only presenting the necessary information in clear and concise form.

Topic: Lossy compression of bioelectric signals while maintaining and preserving diagnostically relevant information. • Determined acceptable levels of fidelity loss (due to compression) of EEG signals using SVM and provided equitable values for general fidelity loss metric (PRD). • Designed, ran and correlated results for a large number of simulations. Presented the findings in clear and concise manner in multiple journal publications. • Designed methodology to create bit-error protection scheme for ECG signals such that bandwidth, BER and diagnostic performance targets could be met (thesis chapter). • Used SVM and ROC curves as novel approach to analyse information loss in EEG signals. This had been difficult to measure historically due to the nature of EEG signals.

• Oversaw the operation of supervisors for undergraduate laboratories • Managed the correction of laboratory reports and ensured results were accurately recorded • Mentored new PhD students in laboratory supervision • Manned the engineering stand at NUIG Open Days • Set up laboratory equipment and demonstrated its operation to undergraduates • Mentored final year students with biomedical signal processing projects

• Performed Examination Invigilator duties for end of semester exams. This included duties such as the distribution and collection of exam scripts and monitoring exam candidates during the examination period. It was also necessary to perform Chief Invigilator duties in a number of smaller exams.

• Performed Examination Invigilator duties for end of semester exams. This included duties such as the distribution and collection of exam scripts and monitoring exam candidates during the examination period. It was also necessary to perform Chief Invigilator duties in a number of smaller exams.

• SQL Development: Inserted results into SQL database. Restructed live database to cater for expanded project requirements. Queried database to return desired results. • Website Development: Created and edited Perl scripts and HTML to display software test results on internally accessible website. • Created scripts to parse results files (locally and remotely) and insert results into SQL database • Liaised with management and end-users while designing website layout and to add additional features.