Dr. Ted Scully

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Dr. Ted Scully

Senior Lecturer, Department of Computer Science (MTU)

Dr. Ted Scully (B.Sc., PhD) is a senior lecturer in the Department of Computer Science at the Munster Technological University. He is also the coordinator of the M.Sc. in Artificial Intelligence, as well as a founding member and Principal Investigator with the Ríomh research group. He is a graduate of University College Cork and the National University of Ireland, Galway. Ted has been research-active in the areas of machine learning and optimization since 2002 and has published widely in high impact journals and conference papers.

Email: ted.scully@mtu.ie

Phone (direct line): 021 432 6140

ORCID ID: 0000-0002-6970-9179

Education: B.Sc. in Computer Science (UCC), PhD in AI (NUIG)

Publications:

  1. P Joshi, C Thapa, S Camtepe, M Hasanuzzaman, T Scully, H Afli. Performance and Information Leakage in Splitfed Learning and Multi-Head Split Learning in Healthcare Data and Beyond. Methods and Protocols. 2022
  2. QA Phan, T Scully, M Breen, MD Murphy. Facilitating high levels of wind penetration in a smart grid through the optimal utilization of battery storage in microgrids: an analysis of the trade-offs between economic performance and wind generation facilitation. Energy conversion and management 2020
  3. P Shine, T Scully, J Upton, MD Murphy Annual electricity consumption prediction and future expansion analysis on dairy farms using a support vector machine. Applied Energy 250, 1110-1119 2019
  4. QA Phan, T Scully, M Breen, MD Murphy. Determination of optimal battery utilization to minimize operating costs for a grid-connected building with renewable energy sources. Energy conversion and management 174, 157-174 2018
  5. P Shine, MD Murphy, J Upton, T. Scully, “Machine-learning algorithms for predicting on-farm direct water and electricity consumption on pasture based dairy farms”, Computers and Electronics in Agriculture 150, 74-87 2018
  6. P Shine, T. Scully, J Upton, MD Murphy, “Multiple linear regression modelling of on-farm direct water and electricity consumption on pasture based dairy farms”, Computers and Electronics in Agriculture, 2018
  7. P Shine, T Scully, J Upton, L Shalloo, MD Murphy, “Electricity & direct water consumption on Irish pasture based dairy farms: a statistical analysis. Applied Energy 210, 529-537
  8. J. Escalada, F. Ortin, T. Scully, “An Efficient Platform for the Automatic Extraction of Patterns in Native Code”, Scientific Programming, 2017
  9. T. Scully, M. Madden. “Facilitating Multi-Agent Coalition Formation in Self-Interested Environments”, Springer Lecture Notes in Computer Science. 2016
  10. D. MacNamara, T. Scully, F. Carmody, K. Oakley, E. Quane, P. Gibson. “Dual Vote: A non-intrusive eVoting Interface”. International Journal of Computer Information Systems and Industrial Management Applications (IJCISIM), 2012
  11. T. Scully,  K. N. Brown, “Wireless LAN Load-Balancing with Genetic Algorithms”. Knowledge-Based Systems, Volume 22, Issue 7, October 2009
  12. A Shields, T Scully, Anomaly detection for sparse data A framework based on PU-Learning and GAN’s. Workshop on Deep Learning Practice for high Dimensional Data – KDD 2020.
  13. A Shields, T Scully. Anomaly Detection for Sparse Data: A Framework based on PU-Learning and GAN’s, 12th International Conference on Agents and Artificial Intelligence 2020
  14. A Shields, P Doody, T Scully. Application of multiple change point detection methods to large urban telecommunication networks. 28th Irish Signals and Systems Conference (ISSC), 1-6, 2017
  15. A. Shields, P. Doody, T. Scully, “Application of multiple change point detection methods to large urban telecommunication networks”, 28th Irish Signals and Systems Conference, 2017.
  16. T. Deuschel, T. Scully, “On the Importance of Spatial Perception for the Design of Adaptive User Interfaces”. IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2016
  17. K. Kennedy, T. Mastaglio, P. Walsh, T. Scully, “Genetic Optimisation for a Stochastic Model for Opportunistic Maintenance Planning of Offshore Wind Farms.” 4th International Symposium on Environment-Friendly Energies and Applications. 2016
  18. P. Q. An, M. D. Murphy, M. C. Breen, T. Scully, “One-day-ahead Cost Optimisation for a Multi-energy Source Building using a Genetic Algorithm”, 11th International Conference on Control 2016
  19. P.Shine, M. D. Murphy, T. Scully, “Electricity and blue water consumption on Irish pasture based dairy farms: An Explanatory Analysis”, International Conference on Agricultural Engineering 2016
  20. T. Scully, M. Madden, “Promoting Cooperation and Fairness in Self-Interested Multi-Agent Systems”, International Conference on Agents and Artificial Intelligence. 2016
  21. P. An Quang, M. Murphy, T. Scully,  “Economic Optimisation for a Building with an Integrated Micro-grid connected to the National Grid”. IEEE World Congress on Sustainable Technologies 2015
  22. P. Shine, T. Scully, M. Murphy. “Analysis of Water and Electrical Power Consumption for Grassland Dairy Production”, Sixth International Manufacturing Conference, 2015
  23. K. Kennedy, T. Mastaglio, T. Scully. “Using Simulation to Support Management of Offshore Renewable Energy Facilities”, Conference on Simulation for Energy, Sustainable Development & Environment 2015
  24. T. Scully, M. Madden. “Coalition Formation through Cooperation in Self-Interested Environments”, European Conference on Multi-Agent Systems, Springer Lecture Notes in Artificial Intelligence, 2014
  25. C. Lynch, M. J. O’Mahony, T. Scully, “Simplified and automated 12 hour ahead wind speed predication model using open source software”, In Proceedings of 31st International Manufacturing Conference, 2014
  26. C. Lynch, M. O’Mahony, T. Scully, “Simplified method to derive the Kalman Filter covariance matrices to predict wind speeds from a NWP model”. Sixth International Conference on Sustainability and Energy in Buildings, 2014
  27. D. MacNamara, T. Scully, P.  Gibson, F. Carmody, K. Oakley and E. Quane. “DualVote: Addressing Usability and Verifiability Issues in Electronic Voting Systems”, Conference for E-Democracy and Open Government (CeDEM11), 2011
  28. D. MacNamara, F. Carmody, T. Scully, K. Oakley, E. Quane, P. Gibson. “Dual Vote: A Novel User Interface For E-voting Systems”. International Conference on Interfaces and Human Computer Interaction 2010
  29. T. Scully, M. G. Madden, G. Lyons, “Coalition calculation in a dynamic agent environment”, Proceedings of the twenty-first international conference on Machine learning, 2004