Teaching:Responsible for the development and delivery of Level 6 content for "Data Mining and Decision Systems", "Computer Vision", and "Computer Systems Infrastructure & Management", in addition to Level 7 "Introduction to Programming for AI & Data Science". Modules include lectures, practical workshops, assignments, and final examination. These modules include teaching of Python, MATLAB, and Linux System Administration.Duties include design and creation of lecture and workshop material, delivery of such content, and creation and grading of Exam and Assessed Coursework.Primary marking of students for Module content, exam scripts, and submitted coursework submissions, including additional second marking for other modules.Bids applied for:SBRI: innovation in rail security surveillance analytics (~60k)----Programme Development:Engaged in Department-level Transformation of Programmes (Revalidation) for the Department of Computer Science and Technology, championing the AI & Machine Learning pathways across levels 4-7 ensuring continuity throughout based on Industry expectations for modern AI / ML / Data Science workloads.----Supervision:Honours Stage Project supervisor for several final year undergraduate students within computer science, with weekly meetings and guidance towards thesis completion.Student tutor responsible for pastoral care of several tutees over all levels.----Outreach:Point of contact for local Secondary Education outreach and applicant activities: Raspberry Pi - Making Asteroids in Processing.A summer programme of weekly DIY content to show-case computer science to under 18s with a practical hands-on approach reminiscent of type-in program magazines, targeted for a modern web-enabled age with the aim of improving student recruitment.Co-Investigator for application of Machine Learning & Computer Vision towards creating meaningful historical interactions and experiences of historically significant persons. (~£5000)

Responsible for the development and delivery of Level 6 content for Computer Vision, including lectures, practical workshops, assignments, and final exam.Duties included creation of lecture and workshop material, delivery of such content, and creation and grading of Exam and Assessed Coursework.Primary marking of students for Module content, for exam scripts and submitted coursework submissions, including additional second marking for other modules.

Phase 2 - SBRI - Automatic Threat Detection of Firearms from X-Ray Images.Responsible for co-writing a successful bid worth £190k.Responsible for developing research strategy and direction, undertaking research, evaluating project outcomes, communicating to key stakeholders, and management/configuration of project assets and equipment; In particular design, development, and active use of a large GPU compute server specifically tailored for project needs and outcomes.Additional design and configuration of departmental level GPU compute resources, including active maintenance and governance, to facilitate multi-user research such as Research Assistants, PhD Students, etc. Mitigation and Disaster Recovery of GPU Compute for failed hardware/software scenarios, ensuring safety of mission-critical data (Home Office Datasets) and active research project data.DASA - PeekABoo "Invisible Battlespace"Machine Learning for prediction of Wi-Fi occupancyResponsible for co-writing a successful bid worth £100k.Primary AuthorWilliamson, A., Dickinson, P., Lambrou, T., and Murray, J. 2019. DCNNs: A Transfer Learning comparison of Full Weapon Family threat detection for Dual-Energy X-Ray Baggage Imagery. BMVC 2019: Workshop on Object Detection and Recognition for Security Screening. Cardiff, UK, 12 September.Co-Author (Best Paper Award)Shorten, D., Williamson, A., Srivastava, S., and Murray, J. 2018. Localisation of Drone Controllers from RF Signals Using a Deep Learning Approach. In Proceedings of the International Conference on Pattern Recognition and Artificial Intelligence (pp. 89–97). Association for Computing Machinery.

Phase 2 - SBRI - Automatic Threat Detection of Firearms from X-Ray Images.Responsible for co-writing a successful bid worth £190k.Responsible for developing research strategy and direction, undertaking research, evaluating project outcomes, communicating to key stakeholders, and management/configuration of project assets and equipment; In particular design, development, and active use of a large GPU compute server specifically tailored for project needs and outcomes.

Demonstrator for workshop sessions run by modules on the course Computer Science for the School of Computer Science.Modules:Database Systems ( Level 5 ) , Artificial Intelligence ( Level 5 ) , Software Engineering ( Level 6 )Responsible for assisting in delivery of module content, and assisting students during workshop sessions.

Hourly Paid Lecturer responsible for creation and delivery of NoSQL content for 'Database Systems' Module for Level 5 students. Duties included creation of lecture and workshop material, delivery of such content, and creation and grading of Assessments.Primary marking of over 180 students for NoSQL content within the module, including additional second marking for further assessments related to the module.

Phase 1 - SBRI - Automatic Threat Detection of Firearms from X-Ray Images (£30k). Successfully completed, and invited to apply for Phase 2.Undertaking research, achieving deliverable goals, and successfully disseminating findings to inter-disciplinary panel at the Home Office.

Multi-domain Dialogue Systems using Deep Reinforcement Learning.Worked on a software solution, MultiDS, for delivery to Samsung in Seoul, South Korea. Delivered technical workshop alongside Mr Jacob Carse, and Dr Heriberto Cuayáhuitl for this delivery.Co-Author of NIPS 2016 submission to Deep Reinforcement Workshop; IJCNN 2017 submission.Cuayáhuitl, H., Yu, S., Williamson, A. and Carse, J., 2016. Deep reinforcement learning for multi-domain dialogue systems. arXiv preprint arXiv:1611.08675.Cuayáhuitl, H., Yu, S., Williamson, A. and Carse, J., 2017. Scaling up deep reinforcement learning for multi-domain dialogue systems.

Part of a team working on improving the student experience at the University of Lincoln through technology.