Archana Nigam

Employment

• Pandit Deendayal Petroleum University
  2024 - Present
• Kaushalya The Skill University Assistant Professor
  2022 - 2023
• Adani Institute of Infrastructure Engineering Assistant Professor
  2022 - 2022
• MANIT Assistant Professor
  2013 - 2013
• Cognizant (India) Senior Software Developer
  2012 - 2013

Education

• Dhirubhai Ambani Institute of Information and Communication Technology PhD
• Indian Institute of Technology Roorkee M.Tech

Projects & Funding

Projects & funding information is unavailable.

Publications (8)

• Spatiotemporal Bus Arrival Prediction Using ConvLSTM and CTGANs-augmented Data
  International Journal of Intelligent Transportation Systems Research 2024 DOI: 10.1007/s13177-024-00454-9
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• Hybrid deep learning models for traffic stream variables prediction during rainfall
  Multimodal Transportation 2023 DOI: 10.1016/j.multra.2022.100052
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• Weather impact on macroscopic traffic stream variables prediction using recurrent learning approach
  Journal of Intelligent Transportation Systems 2023 DOI: 10.1080/15472450.2021.1983809
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• An Empirical Study on Parameters Affecting Traffic Stream Variables Under Rainy Conditions
  2022 14th International Conference on COMmunication Systems & NETworkS (COMSNETS) 2022 DOI: 10.1109/comsnets53615.2022.9668377
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• Impact of Rainfall and Waterlogging on Traffic Stream Variables in Developing Countries
  2021 International Conference on COMmunication Systems & NETworkS (COMSNETS) 2021 DOI: 10.1109/comsnets51098.2021.9352860
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• Macroscopic Traffic Stream Variables Prediction with Weather Impact Using Hybrid CNN-LSTM model
  Adjunct Proceedings of the 2021 International Conference on Distributed Computing and Networking 2021 DOI: 10.1145/3427477.3429780
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• Macroscopic Traffic Stream Variable Prediction with Weather Impact using Recurrent Learning Approach
  Proceedings of 2020 IEEE-HYDCON International Conference on Engineering in the 4th Industrial Revolution, HYDCON 2020 2020 DOI: 10.1109/HYDCON48903.2020.9242908
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• ODDMS: Online Distributed Dynamic Meeting Scheduler
  ICT Analysis and Applications 2020 DOI: 10.1007/978-981-15-0630-7_19
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