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Ivana Dusparic
Ussher Assistant Professor, Computer Science

Publications and Further Research Outputs

Peer-Reviewed Publications

M Gueriau, N Cardozo, I Dusparic, Constructivist Approach to State Space Adaptation in Reinforcement Learning, 13th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2019), Umea, Sweden, 2019 Conference Paper, 2019

A Taylor, I Dusparic, M Gueriau, S Clarke, Parallel Transfer Learning in Multi-Agent Systems: What, when and how to transfer?, International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, 2019 Conference Paper, 2019

F Golpayegani, I Dusparic, S Clarke, Using Social Dependence to Enable Neighbourly Behaviour in Open Multi-Agent Systems, ACM Transactions on Intelligent Systems and Technology, 10, (3), 2019, p3319402 Journal Article, 2019 DOI

Martin Connolly, Ivana Dusparic, Georgios Iosifidis, Melanie Bouroche, Adaptive Reward Allocation for Participatory Sensing, Wireless Communications and Mobile Computing, 2018, 2018, p6353425 Journal Article, 2018 DOI TARA - Full Text

Martin Connolly, Ivana Dusparic and Mélanie Bouroche, An Identity Privacy Preserving Incentivization Scheme for Participatory Sensing, International Conference on Mobile Computing and Ubiquitous Networking (ICMU), 2018, 2018, pp1 - 8 Conference Paper, 2018

Fatemeh Golpayegani, Zahra Sahaf, Ivana Dusparic, SIobhan Clarke, Participant Selection for Short-term Collaboration in Open Multi-agent systems, Simulation Modelling Practice and Theory, 83, 2018, p149-161 Journal Article, 2018 URL DOI

S Bennati, I Dusparic, R Shinde, CM Jonker, Volunteers in the Smart City: Comparison of Contribution Strategies on Human-Centered Measures, Sensors, 2018 Journal Article, 2018

Jeancarlo Arguello Calvo, Ivana Dusparic, Heterogeneous Multi-Agent Deep Reinforcement Learning for Traffic Lights Control, 26th Irish Conference on Artificial Intelligence and Cognitive Science (AICS 2018), 2018 Conference Paper, 2018

Maxime Gueriau and Ivana Dusparic, SAMoD: Shared Autonomous Mobility-on-Demand using Decentralized Reinforcement Learning, The 21st IEEE International Conference on Intelligent Transportation Systems (ITSC2018)., 2018 Conference Paper, 2018 URL

Nicolas Cardozo, Ivana Dusparic, Generating Software Adaptations using Machine Learning, ML4PL: 2nd International Workshop on Machine Learning Techniques for Programming Languages at ECOOP 2018, Amsterdam, The Netherlands, 2018 Conference Paper, 2018 TARA - Full Text

Nicolás Cardozo, Ivana Dusparic, Jorge H. Castro, Peace COrP: Learning to solve conflicts between contexts, 9th Workshop on Context-Oriented Programming (COP 2017) at ECOOP 2017, 06/2017, 2017 Conference Paper, 2017 DOI URL

Andrei Marinescu, Ivana Dusparic, Siobhán Clarke., Prediction-Based Multi-Agent Reinforcement Learning in Inherently Non-Stationary Environments, ACM Transactions on Autonomous and Adaptive Systems, 12, (2), 2017, pa9- Journal Article, 2017 DOI URL TARA - Full Text

Dusparic, I., Taylor, A., Marinescu, A., Golpayegani, F., Clarke, S. , Residential demand response: Experimental evaluation and comparison of self-organizing techniques , Renewable and Sustainable Energy Reviews, 80, 2017, p1528-1536 Journal Article, 2017 DOI URL

I. Dusparic, J. Monteil and V. Cahill, Towards autonomic urban traffic control with collaborative multi-policy reinforcement learning, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), Rio de Janeiro, Brazil, November 2016, 2016 Conference Paper, 2016 URL DOI

Golpayegani F, Dusparic I, Taylor A, Clarke S, Multi-agent Collaboration for Conflict Management in Residential Demand Response, Computer Communications, 96, 2016, p63 - 72 Journal Article, 2016 DOI URL

Golpayegani, F., Dusparic, I., Clarke, S., Collaborative, parallel Monte Carlo Tree Search for autonomous electricity demand management, Proceeedings of 2015 Sustainable Internet and ICT for Sustainability, SustainIT 2015, Sustainable Internet and ICT for Sustainability, SustainIT 2015, Madrid; Spain, 14-15 April, 2015, pp7101360- Conference Paper, 2015 DOI

Marinescu A, Dusparic I, Taylor A, Canili V, Clarke S, P-MARL: Prediction-based Multi-Agent Reinforcement Learning for non-stationary environments (extended abstract), Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, 2015, 3, 2015, pp1897 - 1898 Conference Paper, 2015 URL

Evaluation of forecasting methods for very small-scale networks in, Data Analytics for Renewable Energy Integration, Lecture Notes in Computer Science, Springer, 2015, pp56-75 , [Cavallo J, Marinescu A, Dusparic I, Clarke S] Book Chapter, 2015 DOI URL

Ivana Dusparic, Adam Taylor, Andrei Marinescu, Vinny Cahill and Siobhán Clarke., Maximizing Renewable Energy Use with Decentralized Residential Demand Response., International Smart Cities Conference (ISC2), Guadalajara, Mexico, October 25-28, IEEE, 2015, pp7366212 Conference Paper, 2015 DOI

Andrei Marinescu, Ivana Dusparic, Colin Harris, Vinny Cahill, Siobhán Clarke, A Dynamic Forecasting Method for Small Scale Residential Electrical Demand, Proceeding of the International Joint Conference on Neural Networks, 2014 Conference Paper, 2014 DOI URL

Adam Taylor, Ivana Dusparic, Edgar Galván-López, Siobhán Clarke and Vinny Cahill., Accelerating Learning in Multi-Objective Systems through Transfer Learning, Proceedings of the Special Session on Learning and Optimization in Multi-Criteria Dynamic and Uncertain Environments at the IEEE International Joint Conference on Neural Networks (IJCNN 2014)., Special Session on Learning and Optimization in Multi-Criteria Dynamic and Uncertain Environments at the IEEE International Joint Conference on Neural Networks (IJCNN 2014)., IEEE, 2014 Conference Paper, 2014 DOI

Adam Taylor, Edgar Galván-López, Ivana Dusparic, Colin Harris, Andrei Marinescu, Siobhán Clarke and Vinny Cahill, Self-Organising Algorithms for Residential Demand Response, Proceedings IEEE Conference on Technologies for Sustainability - Engineering and the Environment (SusTech 2014), IEEE Conference on Technologies for Sustainability - Engineering and the Environment (SusTech 2014), 24-26 July, IEEE, 2014, pp55-60 Conference Paper, 2014 TARA - Full Text DOI

Harris, C., Dusparic, I., Galván-López, E., (...), Cahill, V., Clarke, S., Set point control for charging of electric vehicles on the distribution network, IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2014, IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2014, Washington, 19-22 Feb, 2014, pp6816415 Conference Paper, 2014 DOI

Harris, C. : Doolan, R. ; Dusparic, I. ; Marinescu, A. ; Cahill, V. ; Clarke, S., A distributed agent based mechanism for shaping of aggregate demand on the smart grid, International Energy Conference, ENERGYCON 2014 - IEEE, 13-16 May 2014 , IEEE, 2014, pp737 - 742 Conference Paper, 2014 DOI

Marinescu, A., Harris, C., Dusparic, I., Cahill, V., Clarke, S., A hybrid approach to very small scale electrical demand forecasting, Proceedings of ISGT 2014, IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2014, Washington, DC, 19-22 Feb, IEEE, 2014, pp6816426- Conference Paper, 2014 DOI

Marinescu, A., Harris, C., Dusparic, I., Clarke, S., Cahill, V., Residential electrical demand forecasting in very small scale: An evaluation of forecasting methods, Proceedings 2nd International Workshop on Software Engineering Challenges for the Smart Grid, SE4SG 2013, 2nd International Workshop on Software Engineering Challenges for the Smart Grid, SE4SG 2013, San Francisco, CA; United States, 18 MAy, 2013, pp25-32 Conference Paper, 2013 DOI

Dusparic, I., Harris, C., Marinescu, A., Cahill, V., Clarke, S., Multi-agent residential demand response based on load forecasting, IEEE Conference on Technologies for Sustainability - Engineering and the Environment (SusTech), Portland, ON, USA, 2013, pp90-96 Conference Paper, 2013 DOI

Dusparic, I., Cahill, V., Autonomic multi-policy optimization in pervasive systems: Overview and evaluation, ACM Transactions on Autonomous and Adaptive Systems, 7, (1), 2012, part. no. 11 Journal Article, 2012 DOI

Edgar Galvan-Lopez, Colin Harris, Ivana Dusparic, Siobhán Clarke, Vinny Cahill, Reducing Electricity Costs in a Dynamic Pricing Environment, Proceedings of IEEE 3rd International Conference on Smart Grid Communications, 3rd IEEE International Conference on Smart Grid Communications, Taiwan, 5-8 November, 2012, pp169-174 Conference Paper, 2012 DOI

Mélanie Bouroche, Vinny Cahill, Siobhan Clarke, Ivana Dusparic, Anurag Garg, Fabian Bustamante., Research Challenges in Participatory Sensing for Urban Management Applications,, 11th IT&T Conference, Cork Institute of Technology Cork, Ireland , 29-30 October 2012 , 2012, pp2-9 Conference Paper, 2012 URL

Ivana Dusparic, Vincent Cahill, 'Decentralised Autonomic System and Method for Use in an Urban Traffic Control Environment ', USPTO, 2010, The Provost, Fellows And Scholars Of The College Of The Holy & Undivided Trinity Of Queen Elizabeth Patent, 2010 URL

Ivana Dusparic and Vinny Cahill, Multi-policy optimization in self-organizing systems , Lecture Notes in Computer Science, 1st International Workshop on Self-Organizing Architectures, SOAR 2009, Cambridge, 14 September, 6090, 2010, pp101-126 Conference Paper, 2010 DOI

Ivana Dusparic and Vinny Cahill., Multi-policy optimization in decentralized autonomic systems (extended abstract). , Proceedings 8th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), 8th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), edited by Carles Sierra, Cristiano Castelfranchi, Keith S. Decker, and Jaime Simao Sichman , 2, 2009, pp1203-1204 Conference Paper, 2009 TARA - Full Text URL

Vinny Cahill and Ivana Dusparic, Distributed w-learning: Multi-policy optimization in self-organizing systems., 3rd IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO), San Francisco, 14-September, IEEE, 2009, pp20 - 29 Conference Paper, 2009 DOI

Ivana Dusparic and Vinny Cahill, Using Distributed W-Learning for Multi-Policy Optimization in Decentralized Autonomic Systems , Proceedings of the 6th International Conference on Autonomic Computing and Communications, 6th International Conference on Autonomic Computing and Communications, Barcelona, Spain , ACM, 2009, pp63-64 Poster, 2009 TARA - Full Text DOI

Ivana Dusparic and Vinny Cahill., Using reinforcement learning for multipolicy optimization in decentralized autonomic systems - an experimental evaluation., Lecture Notes in Computer Science, The Sixth International Conference on Autonomic and Trusted Computing (ATC-09), July, edited by Juan Gonzalez Nieto, Wolfgang Reif, Guojun Wang, and Jadwiga Indulska , Springer, 2009, pp105-119. Conference Paper, 2009 DOI

Ivana Dusparic and Vinny Cahill., Autonomic management of large-scale critical infrastructures. , Workshop on Hot Topics in Autonomic Computing, June, IEEE, 2008, pp1-2 Conference Paper, 2008 TARA - Full Text URL

Dusparic, I. and Cahill, V. , Research issues in multiple policy optimization using collaborative reinforcement learning, Proceedings ICSE 2007 Workshops - International Workshop on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2007), International Workshop on Software Engineering for Adaptive and Self-Managing Systems (SEAMS'07), 20-26 May 2007, 2007 Conference Paper, 2007 TARA - Full Text URL DOI

Ivana Dusparic, Dominik Dahlem and Jim Dowling, Flexible Application Rights Management in a Pervasive Environment, Proceedings of the International Conference on E-Technology, E-Commerce and E-Service, IEEE International Conference on E-Technology, E-Commerce and E-Service, Hong Kong, 29 March-1 April 200, IEEE Press, 2005, pp680 - 685 Conference Paper, 2005 URL DOI

Dominik Dahlem and Ivana Dusparic, Jim Dowling, , A Pervasive Application Rights Management Architecture (PARMA) based on ODRL , Proceedings of the First International Open Digital Rights Language (ODRL) Workshop, First International Open Digital Rights Language (ODRL) Workshop, Vienna, Austria, edited by Renato Iannella and Susanne Guth , 2004, pp46--63 Conference Paper, 2004 URL TARA - Full Text

Non-Peer-Reviewed Publications

Caitlin Doyle Cottrill and Jan Fabian Ehmke and Franziska Klügl and Sabine Timpf, Computational Challenges in Cooperative Intelligent Urban Transport - Dagstuhl Seminar Report, Volume 6 Number 2, Dagstuhl, Germany, 2016 Report, 2016 DOI

M. Bouroche and V. Cahill and I. Dusparic and A. Garg and F. Bustamante, Research Challenges in Participatory Sensing for Urban Management Applications, School of Computer Science and Statistics, Trinity College Dublin, June, 2011 Report, 2011

Ivana Dusparic, Multi-Policy Optimization in Decentralized Autonomic Systems, Trinity College Dublin, 2010 Thesis, 2010

Ivana Dusparic, Pervasive Application Rights Management Architecture, Trinity College Dublin, 2005 Thesis, 2005 URL

Ivana Dusparic and Jim Dowling, Mobile Software Licensing , Department of Computer Science, Trinity College Dublin, 2003 Report, 2003 TARA - Full Text URL

Research Expertise

Projects

  • Title
    • Lero LAMP - Learning-based Autonomic Management of Power Distribution
  • Funding Agency
    • SFI
  • Title
    • Surpass: How shared autonomous cars will transform cities
  • Summary
    • It is estimated that autonomous cars will surpass manual forms of driving by 2040, thereby imposing themselves on both the built and the natural environment. Historically, changes in transport, such as the diffusion of the first automobiles in the 1920s, have led to dramatic changes in urban infrastructures, with severe negative environmental and social repercussions. By merging urban geography and computer science, Surpass will use Dublin as a case study to anticipate and map the infrastructural changes that autonomous cars will trigger, so that cities can use these changes as an opportunity to evolve in a sustainable way. Given that self-driving cars are being diffused primarily through sharing services provided by international companies such as Uber, scholars argue that this new form of transport has the potential of reducing traffic congestion and car ownership, thereby opening up new opportunities to redesign cities. As having less traffic and cars in the city means that roads and parking spaces can be reduced, freed-up spaces could be reused for sustainability purposes and turned into, for example, gardens, bike lanes and renewable energy power stations. Through an innovative mixed-methods approach including foresight, scenario building, modelling and computer simulation, the Surpass team will produce the first study to estimate the impact that shared autonomous cars will have on urban traffic and car ownership, and quantify and map the urban space that can be freed-up.
  • Funding Agency
    • IRC
  • Date From
    • 19-DEC-2016
  • Date To
    • 18-SEP-2019

Keywords

Autonomic Computing; Intelligent transport systems; Reinforcement learning; Self-organizing algorithms

Recognition

Representations

Royal Irish Academy Engineering and Computer Sciences Committee member, 2018-2022

Grant proposal reviewer for Flanders Research Foundation (FWO)

Organizer of 10th International Workshop on Agents in Traffic and Transportation (ATT) at AAMAS 2018

International Conference on Autonomous Agents and Multiagent Systems (AAMAS) Programme Committee Member 2016, 2017, 2018

The 21st IEEE Conference on Intelligent Transportation Systems (ITSC) 2018 Programme Committee Member

IEEE Conference on Technologies for Sustainability (SusTech) Programme Committee member 2016, 2017, 2018

The 21st EURO Working Group on Transportation Meeting (EWGT) 2018 Reviewer

Reviewer for IEEE Technology and Society Magazine

Reviewer for Elsevier Applied Energy Journal

Reviewer for Neurocomputing Journal

Reviewer for Journal of Computational Science

Reviewer for IEEE Transactions on Sustainable Energy

Reviewer for Transportation Research Part C

Awards and Honours

Irish Software Association (ISA) Student Medal Award Finalist 2009

Memberships

Royal Irish Academy Engineering and Computer Sciences Committee Member 2018 – 2022