DR. AMELIA KELLY
VP of Speech Technology at SoapBox Labs
Dr Amelia Kelly is an artificial intelligence engineer and scientist specialising in automatic speech recognition of children’s voices. She is currently VP of Speech Technology at SoapBox Labs and holds a B.Sc. in Physics and Astronomy from NUI Galway, and an M. Phil and Ph. D in Linguistics and Speech Technology from Trinity College Dublin. She has more than a decade of experience in speech signal processing, natural language processing, machine learning and artificial intelligence. To date in her career, Amelia has held various positions in industry and academia, including with IBM Watson, in Silicon Valley, and as a research fellow at Trinity College. As well as various academic publications, she holds a patent in the area of cognitive computing and is a regular speaker at technical conferences and industry events in Ireland and abroad. She is a Fulbright TechImpact Scholar for 2020/2021.
There’s never been a more exciting time to work inartificial intelligence, especially in the field of voice technology for kids. There's a new and urgent awareness of the possibilities and benefits that kids' voice technologies can bring and the impact they can make. This goes so far beyond using speech recognition to get the text transcription of an audio file. The data points that can be generated from voice technology can help teachers assess children's reading fluency, their pronunciation, and levels of expressiveness and their comprehension; it can help educators flag up when children are falling behind or experiencing particular difficulties on their reading journey, and it can act as an early warning system for dyslexia and speech pathologies. Technologies such as speech verification and voice activity detection, online, on-device and on chip, can enable the toy market to voice enable their products, making them hugely engaging for kids in a way that is safe and equitable. Kids should not be relegated to using adult speech technology hand-me-downs that they'll "grow into." Voice technology should be accurate and appropriate for children's development, and respect the challenges and requirements that are particular to their unique stage of life. In this keynote presentation, Dr. Kelly chat about the challenges particular to child speech recognition and voice technology, and about the transformational role of this technology in children’s education and play.
DR. MARTINA SCIOLA
Academia Team MathWorks
Dr. Martina Sciola joined the Academia Team at MathWorks in 2018. She collaborates with major universities in Ireland and UK and supports their teaching and research activities with MATLAB and Simulink. With a background in Biomedical Engineering, Martina graduated from the University of Sheffield with a PhD focused on personalised cardiovascular modelling. She also had the opportunity to work as research associate for the diagnosis of pulmonary hypertension and as research coordinator for an EU project to establish a new centre of excellence of medicine at the University of Sheffield.
Her interests are healthcare, clinical applications, In silico medicine and biomedical engineering.
“How to train your robot with Deep Reinforcement Learning”
Reinforcement learning is a sub-field of Machine Learning that allows you to solve control problems using deep learning. But instead of using huge amount of labelled data, learning happens through multiple simulations of the system of interest and simulation data is used to train a policy represented by a deep neural network. A traditional controller or a decision-making system is then replaced with the trained deep neural network.
Reinforcement learning finds application in many areas, from robotics to autonomous driving, from finance to healthcare.
In this keynote, you will learn how to apply reinforcement learning using MATLAB and Simulink, including how to set up environment models, define the policy structure, and scale training through parallel computing to improve performance.
Camera Architecture & Technology Group Leader / Valeo Master Expert
Enda leads the camera architecture group within Valeo with a key focus on defining the next generation automotive vision products. Valeo are a multinational Tier 1 automotive supplier with the site in Tuam, Co.Galway leading the company innovation globally for camera and computer vision solutions. Valeo’s vision systems are supplied globally to multiple car companies across a wide portfolio of applications enabling the next generation driver assistance and automated driving solutions.
Working for 15 years on automotive vision products, Enda has worked with the key technology experts both at suppliers and OEMs alike to define optimal system architectures. He graduated with an Electronic Engineering degree from NUI Galway, Ireland and subsequently completed a MEng.Sc in the field of biomedical electronics. Lecturing for a number of years in the areas of electronics and computing systems he later moved into industry, working in the biomedical space and ultimately automotive.
Automotive Vision Systems - Challenges & Opportunities for the Future
Enda will provide an insight into future challenges and opportunities for image processing in automotive applications.
Director of Connected Motion & Robotics at Analog Devices Inc.
Donnacha is the Director of Connected Motion & Robotics at Analog Devices Inc. where he is responsible for charting ADI course to success in the Industrial Automation business.
Previously, he was the Executive Director of the Microelectronics Circuits Centre Ireland (MCCI), a national solid state circuits research Centre, where over his 5 year tenure he led growth of over 3x in research funding, enabling over 90 researchers in RF, Analog & Mixed signal microelectronics circuits.
Donnacha has over 25 year’s industry experience in IC design, Product and Executive management, in both Ireland and the U.S, and in both multinational and several startup companies, in the semiconductor and EDA industries.
He is a regular presenter at industry conferences and forums and previously served on the boards of MCCI, MIDAS Ireland and CEIA. A Senior IEEE Member, he currently serves as Vice-Chair of the UK & Ireland Chapter of the IEEE Solid State Circuits Society.
Donnacha holds a Bachelor of Engineering (Hons) in Electronics Engineering from Munster Technical University, a Master of Science Degree in Technology Management from University College Cork.
"Imagining the next Industrial Revolution as more human and less Industrial"
Highly flexible and adaptable production systems meet equally dynamic and personalized demand, which are fulfilled using rapid autonomous logistics. It is the exact opposite of the industrial estate factory paradigm, where manufacturing was too monolithic to be integrated with everyday life.
With a volatile and uncertain world, manufacturing industries are seeing sudden changes, drops, or surges in demand for products, equipment, and even energy. From manufacturing to energy grids, flexibility is critical to stay resilient in a changing world.
With robotics taking on dull, dirty, and dangerous tasks, companies can better leverage the ingenuity of the human mind that only workers can offer, jobs can become more inclusive, freeing up workers to create new value and solve new challenges.
DR. MARK DALY
Lecturer, Faculty of Engineering and Informatics , AIT.
Mark received his PhD (Mathematical Physics) from DCU in 1995. He has worked in a number of Irish Universities teaching Mathematical Physics and Mathematics before joining the Faculty of Engineering and Informatics at AIT in 1998 as a Lecturer. He has worked extensively with national and international industrial partners in the development of novel Computer Vision solutions, the Dublin Institute for Advanced Studies (DIAS), and the I-LOFAR consortium. His research interests include Quantum Physics, Computer Vision, Machine Learning/AI, and Radioastronomy.
DR. DAVID SCOTT
Lecturer, Faculty of Engineering and Informatics , AIT.
David is a lecturer and researcher at Athlone Institute of Technology. He has over a decade of experience working in the area of machine learning, computer vision and human computer interaction. In 2013 David was awarded his PhD for work simplifying content-based video retrieval systems, specifically tailored to the novice user. David has worked extensively in industry and on EU-funded research projects, including H2020 programmes, from sentiment analysis to image segmentation. His principle interest is in video processing, an area in which he has many publications. He has participated in the Known Item Search (KIS) task at TRECVid on multiple occasions and attained the best system for the task in 2011. David's current research focus is on commercialisation of CCTV facial redaction and custom behavioural analysis of subjects to determine anti-social behaviour.
"From CCTV to SRB”: Pattern Recognition in Video Data Streams
In this talk Mark and David will describe the work in CCTV video streams to state-of-the-art behavioural analysis within the retail environment. They will outline the scope of the work that has been carried out in AIT over the last decade involving cutting-edge research and major backing from international industrial partners. They will cover the GDPR informed CCTV redaction methods, real-time object tracking, gigabit data stream analysis, facial feature extraction and generation, and image segmentation. They will also consider behavioural analysis and its merits in improving consumer experience in the retail setting.
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