Invited Speakers
Title of Talk: Unlocking Sports Complexity with Data Science for Smarter Decision-Making
Prof. Ritu Gupta
Curtin Centre for Optimisation and Decision Science,
School of Electrical Engineering,
Computing and Mathematical Sciences,
Curtin University, Western Australia
Abstract of the Talk:
Sports performance is a dynamic and complex domain that requires informed decision-making at every stage, from recruitment to in-game strategies. In this presentation, I will demonstrate the crucial role of data science in uncovering this complexity, with a specific focus on Australian Rules football.
Australian Rules football is a fast, contact sport played on an oval field, where teams score by kicking an oval ball between goalposts. The data used is the match transactional logs, which capture every field event with a timestamp. By analysing this data, we can uncover team and player playing styles at an atomic level, identifying key patterns and behaviours.
Using these insights, we can develop strategies to increase the likelihood of success, change playing strategies dynamically, guide player recruitment for upcoming matches, and design training programs. The methods employed include model-based clustering, general linear models, association rule mining, Markov modelling and analytical hierarchical process—each tailored to answer specific questions posed by coaches. These quantitative insights provide coaches with evidence-based support, enabling them to make informed, strategic, and tactical decisions aligned with the team’s goals.
Title of Talk: A Computational Intelligence Framework for Performance Prediction in Software Development Projects
Prof. Ajit Kumar Verma
Western Norway University of Applied Sciences,
Haugesund, Norway
Abstract of the Talk:
There is a constant upward demand for developed software since we are depending more and more on automation. The statistics of the last few decades validates this exponential rise in the demand for developed software. There exists a healthy competition among the software developing organization to provide high quality software in shorter duration and at lower cost. Considering the increase in demand and the need for better quality software, proper performance prediction in the early stages of the development is a must to sustain in the market. Performance prediction should consider the environment on which the software is being developed as an important parameter along with the technical and process parameters. We discuss here, a computational intelligence based framework for performance prediction during various stages of software development which uses the environmental parameters along with the process parameters .
About the Speaker:
Ajit Kumar Verma is a Professor(Technical Safety), Western Norway University of Applied Sciences, Haugesund, and has been in Norway since 2012. He was a Professor /Senior (HAG) scale Professor for around 15 years at IIT Bombay with the Reliability Engineering/Department of Electrical Engg. He was an adjunct at the University of Stavanger, Norway and has been a Guest Professor at the Luleå University of Technology for the past several years. He was awarded (2017) Honorary Professor at Amity University, India and also a Life Time Achievement awards at IIT Madras by SRESA and recently at Kurukshetra University. He has supervised/co-supervised 40 PhDs and over 100 Masters theses( IITB; HVL,Norway; Univ.of Gåvle,Sweden; LJM Univ,UK; WMG, Warwick Univ, UK) in the area of Electronic Systems Reliability, Software Reliability, Reliable Computing, Power Systems Reliability, Reliability Centred Maintenance , Soft Computing in RAMS for Complex Engineering Systems and Probabilistic Safety/Risk Assessment in power plants and Computational Intelligence Applications in multiple domains. He has executed various research projects in India to promote industry interface and has been course co-ordinator for industry CEPs like Reliability engineering, Six Sigma, Software Inspections, Competency Tracking System and Software Reliability for IT industries. He has jointly edited a dozen books published by Springer and is also an author in 8 books. He has over 250 publications in various journals and conferences. Springer has published a book in 2020 to honour him. He has served as a Guest Editor of over a dozen Special Issues of various journals including IEEE Transactions besides being the patron/editor in chief in various journals and a series editor in six book series. He has been a Patron/General Chair/ Conference Chair of various International Conferences.
Title of Talk: MATURE-HEALTH: An AI Enabled Digital-Health System
Prof. Ritu Shandilya
Associate Professor,
Computer and Data Science, Mount Mercy University,
Iowa, USA
Abstract of the Talk:
TBA