Negin Zarbakhsh

ORCID: 0000-0003-0688-0646
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About
Contact & Profiles
Research Areas
  • Automated Road and Building Extraction
  • Traffic Prediction and Management Techniques
  • Human Mobility and Location-Based Analysis
  • Urban Transport and Accessibility
  • Data Management and Algorithms
  • Air Quality Monitoring and Forecasting
  • Impact of Light on Environment and Health
  • Urban Design and Spatial Analysis
  • Energy Load and Power Forecasting
  • Smart Grid Energy Management
  • Video Surveillance and Tracking Methods
  • Remote-Sensing Image Classification

University College Dublin
2022-2025

10.1145/3672608.3707962 article EN Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing 2025-03-31

COVID-19 non-pharmaceutical interventions (NPIs) are changing human mobility patterns; however, the effects on power systems remain unclear. Previous loads and timings along with weather features often used in literature as input load forecasting, but these may be insufficient during COVID-19. As a result, this paper proposes an analytical framework to assess impact of system operation well day-ahead electricity prices Ireland. To improve peak demand forecasting pandemics, we incorporate...

10.1109/oajpe.2022.3155960 article EN cc-by IEEE Open Access Journal of Power and Energy 2022-01-01

The Sustainable Development Goals of the United Nations promote sustainable urban development to make cities more economically and socially liveable. Points Interest (POIs) such as commercial properties healthcare facilities are significant markers for these goals. Street-view images becoming increasingly important capturing cities' streetscapes. Existing studies provide city-level images, while there few that in vicinity certain POIs. Therefore, this paper develops a framework filtering so...

10.1109/icdew58674.2023.00030 article EN 2023-04-01

Abstract. With COVID-19’s prevalence and government efforts to curb its spread, urban travel behaviour has significantly altered, resulting in a significant shift traffic congestion. Rather than predicting congestion based on historical data, we aim model the correlation between external mobility-related features use Dublin Ireland as case study. This study incorporates four categories of including 1) Mobility-based features, government’s interventions mobility pattern changes different...

10.5194/isprs-annals-x-4-w3-2022-301-2022 article EN cc-by ISPRS annals of the photogrammetry, remote sensing and spatial information sciences 2022-10-14
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