School of Computing Science

Systems Seminar: Trustable Credit: how cyberphysical systems will need to prove the quality of their data for new natural capital finance markets

Group: Systems Seminars
Speaker: Hannah Rudman, Scotland's Rural College (SRUC)
Date: 03 August, 2021
Time: 14:00 - 15:00
Location: Zoom meeting

This talk should be of interest to people thinking about internet of things sensors, satellite and drone earth observation data, digital device and data standards, as well as those working on green and nature-based finance and natural economy projects.

Speaker bio:

Dr Hannah Rudman is SRUC's Senior Challenge Research Fellow & Data Policy Lead. Hannah's work is grounded in interdisciplinary Participatory Action Research and focuses on digital and data innovations. Hannah is convenor of Trustable Credit, an adhocracy co-developing open standards for digital devices and their data measuring carbon, biodiversity and nature improvements. She is co-leader of the Scottish Conservation Finance Pioneers Group, and sits on the Advisory Team of UK AgriTech Centre Agrimetrics. Hannah is on the independent advisory board of the £10m DECaDE Centre for the Decentralised Economy, is a technical expert on the Digital Identity Scotland programme, and is an expert evaluator for the European Innovation Council, and was formerly member of the Scottish Government's 2020 Climate Group. She co-authored "Distributed Ledger Technologies in Public Services", a report commissioned for The Scottish Government in 2018.

Hannah was elected as Fellow of the British Computer Society in 2016, as Honorary Fellow at Durham University in 2015, and as Fellow of the Royal Society of Arts, Manufacture and Commerce in 2007. She has a PhD in Information Systems and is also an experienced non-executive director. Hannah currently serves as Board Trustee and Director for the National Galleries of Scotland.

DVF Seminar Series: Intelligent Systems for Smart Cities

Group: Scottish Informatics and Computer Science Alliance (SICSA)
Speaker: SICSA Event, SICSA
Date: 04 August, 2021
Time: 15:00 - 16:30
Location: TBA

SICSA Distinguished Visiting Professor Enrique Alba (University of Malaga) will talk on "Intelligent Systems for Smart Cities". About this event SICSA Distinguished Visiting Professor Enrique Alba (University of Malaga) is being hosted in Scotland by Robert Gordon and Stirling Universities during Summer 2021. As part of this he will deliver this seminar on "Intelligent Systems for Smart Cities", hosted by the Data Science and Intelligent Systems Research Group at the University of Stirling. The talk will be online: we expect the presentation to last around 45-50 minutes, with 40-45 minutes for potential discussions afterwards. Intelligent Systems for Smart Cities The concept of Smart Cities can be understood as a holistic approach to improve the level of development and management of the city in a broad range of services by using information and communication technologies. It is common to recognize six axes of work in them: i) Smart Economy, ii) Smart People, iii) Smart Governance, iv) Smart Mobility, v) Smart Environment, and vi) Smart Living. In this talk we first focus on a capital issue: smart mobility. European citizens and economic actors need a transport system which provides them with seamless, high-quality door-to-door mobility. At the same time, the adverse effects of transport on the climate, the environment and human health need to be reduced. We will show many new systems based in the use of bio-inspired techniques to ease the road traffic flow in the city, as well as allowing a customized smooth experience for travelers (private and public transport). This talk will then discuss on potential applications of intelligent systems for energy (like adaptive lighting in streets), environmental applications (like mobile sensors for air pollution), smart building (intelligent design), and several other applications linked to smart living, tourism, and smart municipal governance. Register via Eventbrite.

DVF Seminar Series: Digital Subsea Workshop: Industrial Optimisation for Net Zero

Group: Scottish Informatics and Computer Science Alliance (SICSA)
Speaker: SICSA Event, SICSA
Date: 11 August, 2021
Time: 14:00 - 17:00
Location: TBA

The transition to a Net Zero North Sea demands cleaner, smarter operations. This workshop presents case studies from a range of industries. About this event Introduction: Christopher Pearson, Director, National Subsea Centre Keynote: Smart Subsea, Prof. Enrique Alba, University of Malaga, Spain Case Study: Prof. Li Zhang, National Subsea Centre Case Study: Dr. Alexander Brownlee, University of Stirling Case Study: Prof. John McCall, National Subsea Centre Virtual Attendee Symposium: GatherTown Case Study 01: Evolving Deep Neural Networks for Industrial Optimization, Prof. Li Zhang, National Subsea Centre Evolutionary algorithms have demonstrated superior global search capabilities, and have been applied to diverse real-life single, multi, and many-objective optimization problems. Examples include the use of evolutionary algorithms for optimal parameter identification, evolving deep architecture generation and discriminative feature selection pertaining to diverse classification and regression models as well as hybrid evolutionary and clustering algorithms for image segmentation and visual saliency detection. This talk will make exploration of the above research topics and introduce algorithms and applications of evolutionary computation in solving diverse industrial optimization problems. Case Study 02: Intelligent systems to improve aircraft taxiing efficiency, Dr. Alexander Brownlee, University of Stirling Taxiing remains a major bottleneck at many airports, even considering reduced traffic levels over the past year. Aircraft are designed for efficiency when airborne so taxiing also has a disproportionate environmental impact. Intelligent traffic management systems are thus needed. Recently, several approaches to allocating efficient routes for taxiing aircraft have been proposed. Search-based optimisation combined with conflict-free routing algorithms are able to efficiently allocate routes. These algorithms are supported by machine learning to make accurate predictions of the time taken to traverse each segment of the taxiways. This talk will summarise some recent work on this topic. Case Study 03: Optimised Management of a Large Field Service Workforce, Prof. John McCall, National Subsea Centre The management of a large field service workforce is a complex task involving many trade-offs. To meet service levels, managers must match labour force to projected demand for planned work subject to mixed skill requirements, team organisation, contractual constraints on roster patterns and the uncertainty of unplanned work to maintain service availability. This talk shows how optimisation and learning approaches enabled efficient management of a 25K-strong workforce in a large service company, realising benefits in the form of cost savings and avoided service penalties. Register via Eventbrite.

HealthCare Seminar: TBC

Group: Computing Technologies for Healthcare
Speaker: Dr. Jennifer Stinson, University of Toronto
Date: 05 October, 2021
Time: 15:00 - 16:00
Location: https://uofglasgow.zoom.us/j/93162574313?pwd=UlNWSC9hV21PdjdCYTBoSjgxY2huQT09

Research Interests:
Dr. Stinson’s clinical work focuses on working with children and youth with chronic pain and their families as part of an interdisciplinary pain team in the Department of Anesthesia and Pain Medicine at SickKids. Her major clinical research interests are in the area of pain and symptom management and the use of e-health (internet) and m-health (mobile phones) technologies to improve the assessment and management of pain and other symptoms in children with chronic illnesses. She is also interested in developing and evaluating novel interprofessional paediatric pain curricula for health care professionals.

HealthCare Seminar: TBC

Group: Computing Technologies for Healthcare
Speaker: Dr. Alison ONeil, Canon Medical Research Europe Ltd.
Date: 02 November, 2021
Time: 15:00 - 16:00
Location: https://uofglasgow.zoom.us/meeting/register/tJUuf-2prD0sG91BDJPMlW9HKqBz6itv8CgP

Biography:

Dr Alison Q O’Neil is a Principal Scientist in the AI Research Team at Canon Medical Research Europe and Honorary Research Fellow at the University of Edinburgh. She leads an AI Research team at Canon who focus on imaging and natural language processing for healthcare problems. Her research interests span techniques for learning with less, multimodal learning, knowledge informed machine learning, and causality.

HealthCare Seminar: TBC

Group: Computing Technologies for Healthcare
Speaker: Prof. Nazli Goharian, Georgetown University
Date: 01 December, 2021
Time: 15:00 - 16:00
Location: https://uofglasgow.zoom.us/meeting/register/tJMtdOGtrT4iE9aX2cDxzQ6TbisiGWEn7Y-M

Biography

Nazli Goharian is Clinical Professor of Computer Science at Georgetown University, and Associate Director of the Information Retrieval Lab . Prior to joining Georgetown, she was Clinical Associate Professor of Computer Science and a member of the Information Retrieval Laboratory at the Illinois Institute of Technology (IIT). She joined academia from industry, where she was the Project Manager for Data Warehouse Conferencing at MCI Worldcom.

Her research, publications, and doctoral student mentorship span the domains of information retrieval, text mining, and natural language processing. Specifically, her interest lies on humane-computing applications; as such, she has been focusing on text processing in medical/health domain. She has graduated four doctoral students with strong publication records and placement in the workplace (i.e., Senior Scientist at Max Planck Institute for Informatics, Research Scientist at the Allan Institute for Artificial Intelligence, Applied Scientist at Amazon Alexa Search, and Director of Data Science at DataXu). Her doctoral student's dissertation was selected for the 2019 Glassman Distingushed Dissertation Award in Sciences at Georgetown University. She in collaboration with her doctoral students has a Best Long Paper Award at EMNLP 2017; and an Area Chair Favorite in COLING 2018.

Registration is required to attend:  https://uofglasgow.zoom.us/meeting/register/tJMtdOGtrT4iE9aX2cDxzQ6TbisiGWEn7Y-M