Sachit Mahajan



Sachit Mahajan is a Research Associate on the AirKit Project of Citizen Sense in the Department of Sociology at Cambridge. His research interests lie in the area of Internet of Things and air quality sensing, especially focusing on participatory sensing systems that emphasize collaboration with citizens and local communities. He is also interested in developing machine learning algorithms and tools for spatio-temporal data analysis of IoT systems, and designing applications that can assist people in their everyday lives.

He has been actively involved in the Airbox project in Taiwan that enables PM2.5 monitoring at a finer spatio-temporal granularity and encourages citizen engagement by having an open-source framework . In the past, he also worked on the iSCAPE (Improving the Smart Control of Air Pollution in Europe) project (Horizon 2020) at the University of Surrey, UK. His responsibilities included leading field experimental campaigns for evaluation of air pollution control interventions and assessing air pollution sensor technologies and citizen involvement by organizing citizen science workshops.

Recent Publications

(for a full list of Citizen Sense publications, see Publications)

  • Chen, L. J., Ho, Y. H., Hsieh, H. H., Huang, S. T., Lee, H. C., & Mahajan, S. (2017). ADF: An anomaly detection framework for large-scale PM2. 5 sensing systems. IEEE Internet of Things Journal, 5(2), 559-570.
  • Mahajan, S., Liu, H. M., Tsai, T. C., & Chen, L. J. (2018). Improving the accuracy and efficiency of PM2. 5 forecast service using cluster-based hybrid neural network model. IEEE Access, 6, 19193-19204.
  • Mahajan, S., Chen, L. J., & Tsai, T. C. (2018). Short-term PM2. 5 forecasting using exponential smoothing method: A comparative analysis. Sensors, 18(10), 3223.
  • Mahajan S., Liu HM., Chen LJ., Tsai TC. (2018) A Machine Learning Based PM2.5 Forecasting Framework Using Internet of Environmental Things. In: Lin YB., Deng DJ., You I., Lin CC. (eds) IoT as a Service. IoTaaS 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 246. Springer, Cham.
  • Mahajan, S., Tang, Y. S., Wu, D. Y., Tsai, T. C., & Chen, L. J. (2018, June). CAR: The cleanest air routing algorithm for path navigation with minimal PM2. 5 exposure on the move. In 16th ACM International Conference on Mobile Systems, Applications, and Services, MobiSys 2018. Association for Computing Machinery, Inc.