Nishant Kumar

Employment

• National University of Singapore Postdoctoral Research Fellow
  2026 - Present
• ETH Zurich Postdoctoral Researcher
  2025 - 2025
• NTNU
  2019 - 2019
• Singapore-MIT Alliance for Research and Technology
  2016 - 2019

Education

• ETH Zürich Foundation DSc
  2020 - 2025
• Indian Statistical Institute M. Tech
  2014 - 2016
• Delhi Technological University
  2010 - 2014

Projects & Funding

Projects & funding information is unavailable.

Publications (17)

• Investigating the link between road network and congestion for highly congested cities
  2025 DOI: 10.21203/rs.3.rs-4952650/v1
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• Quantifying the impacts of non-recurrent congestion on workplace EV charging infrastructures
  Transportation Research Part D: Transport and Environment 2025 DOI: 10.1016/j.trd.2025.104869
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• Enhancing Deep Learning-Based City-Wide Traffic Prediction Pipelines Through Complexity Analysis
  Data Science for Transportation 2024 DOI: 10.1007/s42421-024-00109-x
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• Enhancing deep learning-based city-wide traffic prediction pipelines through complexity analysis
  Research Square 2024 DOI: 10.21203/rs.3.rs-4683600/v1
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• Intrinsic Complexity: Quantifying Task Complexity for Deep Learning-Based City-Wide Traffic Prediction
  Ssrn 2024 DOI: 10.2139/ssrn.4760739
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• Intrinsic Complexity: Quantifying Task Complexity for Deep Learning-Based City-wide Traffic Prediction
  2024 DOI: 10.2139/ssrn.4679598
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• UNCERTAINTY QUANTIFICATION FOR IMAGE-BASED TRAFFIC PREDICTION ACROSS CITIES
  Arxiv 2023 DOI: 10.48550/arXiv.2308.06129
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• Applications of deep learning in congestion detection, prediction and alleviation: A survey
  Transportation Research Part C Emerging Technologies 2021 DOI: 10.1016/j.trc.2021.103432
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• Who benefits from AVs? Equity implications of automated vehicles policies in full-scale prototype cities
  Transportation Research Part A Policy and Practice 2021 DOI: 10.1016/j.tra.2021.09.013
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• Evaluating the impacts of shared automated mobility on-demand services: an activity-based accessibility approach
  Transportation 2021 DOI: 10.1007/s11116-020-10106-y
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