Staff Profile

Tom Komar is a specialist in integrating real-time data analytics, machine learning, and GIS to enhance urban sustainability and quality of life. His expertise balances technical rigor, creativity, and stakeholder collaboration to improve urban systems and infrastructural solutions.

Tom's research interests span topics including automation of urban observations, crime and accident prevention, AI-driven smart spaces, environmental monitoring, and mobility.

Tom has contributed to projects in micro-behaviour analysis, operationalising platforms for health and environmental monitoring, and satellite-based environmental monitoring. His work includes managing systems involving computer vision, IoT, and real-time Machine Learning.

• Articles

  • Okolie C, Adeleke A, Mills J, Smit J, Maduako I, Bagheri H, Komar T, Wang S. Assessment of explainable tree-based ensemble algorithms for the enhancement of Copernicus digital elevation model in agricultural lands. International Journal of Image and Data Fusion 2024, 15(4), 430-460.
  • James P, Jonczyk J, Smith L, Harris N, Komar T, Bell D, Ranjan R. Realizing Smart City Infrastructure at Scale, in the Wild: A Case Study. Frontiers in Sustainable Cities 2022, 4, 767942.
  • Peppa MV, Komar T, Xiao W, James P, Robson C, Xing J, Barr S. Towards an End-to-End Framework of CCTV-Based Urban Traffic Volume Detection and Prediction. Sensors 2021, 21(2), 629.
  • Acharya K, Halla F, Massawa S, Mgana S, Komar T, Davenport R, Werner D. Chlorination effects on DNA based characterization of water microbiomes and implications for the interpretation of data from disinfected systems. Journal of Environmental Management 2020, 276, 111319.

• Conference Proceedings (inc. Abstracts)

  • Morris-Wiltshire C, Barr S, James P, Komar T. Quality-aware wireless urban sensor networks using deep-learning. In: Computational Urban Planning and Urban Management. 2025. Submitted.
  • Komar T, James P. Hierarchical Forecasting of Urban Footfall Integrating Temporal and Spatial Dimensions. In: GISRUK 2025. 2025. Submitted.
  • Komar T, James P. Orchestrating Urban Footfall Prediction: Leveraging AI and batch-oriented workflow for Smart City Application. In: 8th International Conference on Smart Data and Smart Cities (SDSC). 2024, Athens: International Society for Photogrammetry and Remote Sensing.
  • Komar T, James P. LLM-Vision in enhancing the understanding of public spaces. In: 2024 ICA Workshop on AI, Geovisualization, and Analytical Reasoning – CartoVis24. 2024, Warsaw: Copernicus Publications.
  • Peppa MV, Bell D, Komar T, Xiao W. Urban traffic flow analysis based on deep learning car detection from cctv image series. In: SPRS TC IV Mid-term Symposium “3D Spatial Information Science – The Engine of Change”. 2018, Delft, The Netherlands: ISPRS.
  • McNeill F, Bental D, Missier P, Steyn J, Komar T, Bryans J. Communication in emergency management through data integration and trust: an introduction to the CEM-DIT system. 2018.