Publications and Further Research Outputs
Peer-Reviewed Publications
Gajcin, Jasmina and Dusparic, Ivana, ACTER: Diverse and Actionable Counterfactual Sequences for Explaining and Diagnosing RL Policies, https://arxiv.org/abs/2402.06503, 2024
Gajcin, Jasmina and Dusparic, Ivana, Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities, ACM Computing Surveys, 2024
Hribar, Jernej and Hackett, Luke and Dusparic, Ivana, Deep W-Networks: Solving Multi-Objective Optimisation Problems With Deep Reinforcement Learning, International Conference on Agents and Artificial Intelligence (ICAART) 2023, 2023
Neto, Helio N Cunha and Hribar, Jernej and Dusparic, Ivana and Mattos, Diogo Menezes Ferrazani and Fernandes, Natalia C, A survey on securing federated learning: Analysis of applications, attacks, challenges, and trends, IEEE Access, 11, 2023, p41928--41953
Gajcin, Jasmina and McCarthy, James and Nair, Rahul, Marinescu, Radu and Daly, Elizabeth and Dusparic, Ivana, Iterative Reward Shaping using Human Feedback for Correcting Reward Misspecification, European Conference on Artificial Intelligence (ECAI), 2023
Cardozo, Nicolas and Dusparic, Ivana and Cabrera, Christian, Prevalence of Code Smells in Reinforcement Learning Projects, CAIN 2023 - 2nd International Conference on AI Engineering -- Software Engineering for AI, 2023, pphttps--arxiv
Neto, Helio N Cunha and Hribar, Jernej and Dusparic, Ivana and Mattos, Diogo MF and Fernandes, Natalia C, Securing Federated Learning: A Security Analysis on Applications, Attacks, Challenges, and Trends, IEEE Access, 2023
Omoniwa, Babatunji and Galkin, Boris and Dusparic, Ivana, Communication-Enabled Multi-Agent Decentralised Deep Reinforcement Learning to Optimise Energy-Efficiency in UAV-Assisted Networks, Vehicular Communications, 2023
Castagna, Alberto and Dusparic, Ivana, Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning, 26th European Conference on Artificial Intelligence ECAI 2023, 2023
Cardozo, Nicol{\'a, Auto-cop: adaptation generation in context-oriented programming using reinforcement learning options, Information and Software Technology (IST), 2023
Fonseca, Erika and Galkin, Boris and Amer, Ramy and DaSilva, Luiz A and Dusparic, Ivana, Adaptive Height Optimisation for Cellular-Connected UAVs: A Deep Reinforcement Learning Approach, IEEE Access, 11, 2023, p5966-5980
Monteil, Jean-Baptiste and Iosifidis, George and Dusparic, Ivana, Reservation of Virtualized Resources with Optimistic Online Learning, IEEE International Conference on Communications (ICC) 2023, 2023
Castagna, Alberto and Dusparic, Ivana, Multi-Agent Transfer Learning in Reinforcement Learning-Based Ride-Sharing Systems, 14th International Conference on Agents and Artificial Intelligence (ICAART 2022), 2022
Neto, Helio N Cunha and Dusparic, Ivana and Mattos, Diogo MF and Fernandes, Natalia C, FedSA: Accelerating Intrusion Detection in Collaborative Environments with Federated Simulated Annealing, 8th IEEE International Conference on Network Softwarization (IEEE NetSoft 2022), 2022
Hribar, Jernej and DaSilva, Luiz A and Zhou, Sheng and Jiang, Zhiyuan and Dusparic, Ivana, Timely and sustainable: Utilising correlation in status updates of battery-powered and energy-harvesting sensors using deep reinforcement learning, Computer Communications, 192, 2022, p223--233
Omoniwa, Babatunji and Galkin, Boris and Dusparic, Ivana, Optimizing energy efficiency in uav-assisted networks using deep reinforcement learning, IEEE Wireless Communications Letters, 11, (8), 2022, p1590--1594
Weyns, Danny and Gerostathopoulos, Ilias and Buhnova, Barbora and Cardozo, Nicol{\'a, Guidelines for Artifacts to Support Industry-Relevant Research on Self-Adaptation, ACM SIGSOFT Software Engineering Notes, 47, (4), 2022, p18--24
Dusparic, Ivana, Reinforcement Learning for Sustainability: Adapting in large-scale heterogeneous dynamic environments, 2022 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C), 2022, pp49--50
Majstorovi{\'c, Impact of the Connected Vehicles Penetration Rate on the Speed Transition Matrices Accuracy, Transportation Research Procedia, 64, 2022, pp240--247
Omoniwa, Babatunji and Galkin, Boris and Dusparic, Ivana, Energy-aware placement optimization of UAV base stations via decentralized multi-agent Q-learning, IEEE Consumer Communications and Networking Conference (CCNC) 2022, 2022
Galkin, Boris and Omoniwa, Babatunji and Dusparic, Ivana, Multi-Agent Deep Reinforcement Learning For Optimising Energy Efficiency of Fixed-Wing UAV Cellular Access Points, IEEE International Conference on Communications (ICC) 2022, 2022
Gajcin, Jasmina and Dusparic, Ivana, ReCCoVER: Detecting Causal Confusion for Explainable Reinforcement Learning, EXTRAAMAS workshop @ AAMAS https://arxiv.org/abs/2203.11211, 2022
Gajcin, Jasmina and Nair, Rahul and Pedapati, Tejaswini and Marinescu, Radu and Daly, Elizabeth and Dusparic, Ivana, Contrastive Explanations for Comparing Preferences of Reinforcement Learning Agents, Interactive Machine Learning Workshop at AAAI-22, 2022
Hribar, Jernej and Dusparic, Ivana, Enabling Deep Reinforcement Learning on Energy Constrained Devices at the Edge of the Network, IEEE Wireless Communications and Networking Conference (WCNC), 2022
Tomar, Shivani and Tirupathi, Seshu and Salwala, Dhaval Vinodbhai and Dusparic, Ivana and Daly, Elizabeth, Prequential Model Selection for Time Series Forecasting based on Saliency Maps, 2022 IEEE International Conference on Big Data (Big Data), 2022, pp3383--3392
Cardozo, Nicolas and Dusparic, Ivana, Next Generation Context-oriented Programming: Embracing Dynamic Generation of Adaptations, Journal of Object Technology, 21, (2), 2022, p1--6
Cardozo, Nicolas and Dusparic, Ivana, Adaptation to Unknown Situations as the Holy Grail of Learning-Based Self-Adaptive Systems: Research Directions, SEAMS 2021 - International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2021, pp252--253
Acheampong, R. A., Cugurullo, F., Gueriau, M., & Dusparic, I. , Can autonomous vehicles enable sustainable mobility in future cities? Insights and policy challenges from user preferences over different urban transport options, Cities, 112, 2021
Kusic K., Ivanjko E., Vrbanic F., Greguric M., Dusparic I., Dynamic Variable Speed Limit Zones Allocation Using Distributed Multi-Agent Reinforcement Learning, IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, 2021-September, 2021, p3238 - 3245, p3238-3245
Hribar, Jernej and Shinkuma, Ryoichi and Iosifidis, George and Dusparic, Ivana, Analyse or Transmit: Utilising Correlation at the Edge with Deep Reinforcement Learning, IEEE Global Communications Conference (GLOBECOM) 2021, 2021
Galkin, Boris and Fonseca, Erika and Lee, Gavin and Duff, Conor and Kelly, Marvin and Emmanuel, Edward and Dusparic, Ivana, Experimental Evaluation of a UAV User QoS from a Two-Tier 3.6 GHz Spectrum Network, ICC Workshops - 4th Workshop on Integrating UAVs into 5G and Beyond, 2021
Castagna, Albertoa and Gueriau, Maxime and Vizzari, Giuseppe and Dusparic, Ivana, Demand-responsive rebalancing zone generation for reinforcement learning-based on-demand mobility, AI Communications, 34, (1), 2021, p73--88
Galkin, Boris and Fonseca, Erika and Amer, Ramy and DaSilva, Luiz A and Dusparic, Ivana, REQIBA: Regression and Deep Q-Learning for Intelligent UAV Cellular User to Base Station Association, IEEE Transactions on Vehicular Technology, 2021
Fonseca E., Galkin B., Kelly M., Dasilva L.A., Dusparic I., Mobility for cellular-connected UAVs: Challenges for the network provider, 2021 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2021, 2021, p136 - 141
Cardozo, N and Dusparic, I, Language Abstractions and Techniques for Developing Collective Adaptive Systems Using Context-oriented Programming, 5th eCAS Workshop on Engineering Collective Adaptive Systems, 1st IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS 2020, merger of the former ICAC and SASO conferences), 2020
Gueriau, Maxime and Dusparic, Ivana, Quantifying the impact of connected and autonomous vehicles on traffic efficiency and safety in mixed traffic, 23rd IEEE International Conference on Intelligent Transportation Systems (ITSC 2020), 2020
Federico Cugurullo, Ransford Acheampong, Maxime Gueriau, Ivana Dusparic, The transition to autonomous cars, the redesign of cities and the future of urban sustainability, Urban Geography, 2020
Miller Trujillo, Mario Linares-Vásquez, Camilo Escobar-Velásquez, Ivana Dusparic and Nicolás Cardozo, Does Neuron Coverage Matter for Deep Reinforcement Learning? A Preliminary Study, 2nd International Workshop on Deep Learning and Testing at ICSE (DeepTest), October, 2020
Kusic, Kresimir and Dusparic, Ivana and Gueriau, Maxime and Greguric, Martin and Ivanjko, Edouard, Extended Variable Speed Limit control using Multi-agent Reinforcement Learning, The 23rd IEEE International Conference on Intelligent Transportation Systems (ITSC), 2020
Gueriau, Maxime and Cugurullo, Federico and Acheampong, Ransford A. and Dusparic, Ivana, Shared Autonomous Mobility-on-Demand: Learning-based approach and its performance in the presence of traffic congestion, IEEE Intelligent Transportation Systems Magazine, 2020
Dafflon, Baudouin and Gueriau, Maxime and Ouzrout, Yacine and Dusparic, Ivana, Emergent micro-communities for ride-sharing enabled Mobility-on-Demand systems, 11th Workshop on Agents in Traffic and Transportation (ATT 2020) held in conjunction with ECAI 2020, 2020
Hynes, Andrew and Sapozhnikova, Elena and Dusparic, Ivana, Optimising PID Control with Residual Policy Reinforcement Learning, 28th Irish Conference on Artificial Intelligence and Cognitive Science (AICS2020), 2020
Nicolas Cardozo, Ivana Dusparic, Learning Run-time Compositions of Interacting Adaptations, 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), Seoul, South Korea, October, 2020
Alberto Castagna, Maxime Guériau, Giuseppe Vizzari, Ivana Dusparic, Demand-Responsive Zone Generation for Real-Time Vehicle Rebalancing in Ride-Sharing Fleets, Agents in Traffic and Transportation (ATT 2020), 2020
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
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
Martin Connolly, Ivana Dusparic, Georgios Iosifidis, Melanie Bouroche, Privacy Aware Incentivization for Participatory Sensing, Sensors, 19, (18), 2019
Cardozo, Nicolas and Dusparic, Ivana and Linares-Vasquez, Mario, Perspectives in Testing Deep RL, DeepTest Workshop, ICSE 2019, 2019
Doyle, Christopher and Gueriau, Maxime and Dusparic, Ivana, Variational Policy Chaining for Lifelong Reinforcement Learning, ICTAI 2019: The IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 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
Omoniwa, Babatunji and Gueriau, Maxime and Dusparic, Ivana, An RL-based Approach to Improve Communication Performance and Energy Utilization in Fog-based IoT, MobiEdge'19: The 2nd International Workshop on Mobile Edge Networks and Systems for Immersive Computing and IoT (in conjunction with WiMob 2019), 2019
Prasad, Amit and Dusparic, Ivana, Multi-agent deep reinforcement learning for zero energy communities, IEEE ISGT PES Europe 2019, 2019
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
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
Martin Connolly, Ivana Dusparic, Georgios Iosifidis, Melanie Bouroche, Adaptive Reward Allocation for Participatory Sensing, Wireless Communications and Mobile Computing, 2018, 2018, p6353425
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
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
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
S Bennati, I Dusparic, R Shinde, CM Jonker, Volunteers in the Smart City: Comparison of Contribution Strategies on Human-Centered Measures, Sensors, 2018
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
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
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-
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
Golpayegani F, Dusparic I, Taylor A, Clarke S, Multi-agent Collaboration for Conflict Management in Residential Demand Response, Computer Communications, 96, 2016, p63 - 72
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]
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
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-
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
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
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
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
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-
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
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
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
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
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
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
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
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
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
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.
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
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
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
Ivana Dusparic and Vinny Cahill., Autonomic management of large-scale critical infrastructures. , Workshop on Hot Topics in Autonomic Computing, June, IEEE, 2008, pp1-2
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
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
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
Non-Peer-Reviewed Publications
Urban Computing: The Technological Framework for Smart Cities in, Handbook of Smart Cities, Springer Nature, 2020, [Melanie Bouroche, Ivana Dusparic]
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
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
Ivana Dusparic, Multi-Policy Optimization in Decentralized Autonomic Systems, Trinity College Dublin, 2010
Ivana Dusparic, Pervasive Application Rights Management Architecture, Trinity College Dublin, 2005
Ivana Dusparic and Jim Dowling, Mobile Software Licensing , Department of Computer Science, Trinity College Dublin, 2003
Research Expertise
Projects
- Title
- CRT in Artificial Intelligence
- Funding Agency
- SFI
- Date From
- 2019
- Date To
- 2026
- 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
- Title
- CAVIMAS
- Funding Agency
- ITS Ireland
- Date From
- 2019
- Date To
- 2020
- Title
- ENABLE
- Funding Agency
- SFI
- Date From
- 2017
- Date To
- 2021
Recognition
Representations
Royal Irish Academy Engineering and Computer Sciences Committee member, 2018-2022
1st IEEE International Conference on Autonomic Computing and Self-Organizing Systems - ACSOS 2020 Program Committee Member
Organizer of International Workshop on Agents in Traffic and Transportation (ATT) at AAMAS 2018 and ECAI 2020
International Conference on Autonomous Agents and Multiagent Systems (AAMAS) Programme Committee Member 2016, 2017, 2018, 2019, 2020
IEEE Conference on Intelligent Transportation Systems (ITSC) Programme Committee Member 2018, 2019, 2020
14th Symposium on Software Engineering for Adaptive and Self-Managing Systems 2019 Program Committee Member
IEEE Conference on Technologies for Sustainability (SusTech) Programme Committee member 2016, 2017, 2018
Grant proposal reviewer for Flanders Research Foundation (FWO)
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
Memberships
Royal Irish Academy Engineering and Computer Sciences Committee Member