Sreekanth Vakacherla

Employment

• Center for Study of Science, Technology and Policy Senior Research Scientist
  2019 - Present
• CHAI Project Project Manager
  2015 - 2019
• Indian Institute of Technology Bombay Post Doctoral Fellow
  2014 - 2014
• CMR Institute of Technology Assistant Professor
  2012 - 2013
• Indian Space Research Organisation Scientist-SD
  2008 - 2011

Education

• Indian Institute of Public Health Certificate in Health, Safety and Environment Management
  2016 - 2016
• Andhra University Ph. D
  2004 - 2008
• University of Hyderabad M. Phil
  2003 - 2004
• Andhra University M. Sc
  2001 - 2003

Projects & Funding

Projects & funding information is unavailable.

Publications (47)

• Urban Air-Quality Estimation Using Visual Cues and a Deep Convolutional Neural Network in Bengaluru (Bangalore), India
  Environmental Science & Technology 2024 DOI: 10.1021/acs.est.3c04495
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• Application of an Ultra-Low-Cost Passive Sampler for Light-Absorbing Carbon in Mongolia
  Sensors 2023 DOI: 10.3390/s23218977
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• MULTI-SEASON MOBILE MONITORING CAMPAIGN OF ON-ROAD AIR POLLUTION IN BENGALURU, INDIA: HIGH-RESOLUTION MAPPING AND ESTIMATION OF QUASI-EMISSION FACTORS
  2023 DOI: 10.26434/chemrxiv-2023-qq7ph
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• Development of land use regression (LUR) models for criteria air pollutants in Delhi: Use of regulatory monitoring data
  2023 DOI: 10.5194/egusphere-egu23-5586
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• Bias in PM2.5 measurements using collocated reference-grade and optical instruments
  Environmental Monitoring and Assessment 2022 DOI: 10.1007/s10661-022-10293-4
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• Which model to choose? Performance comparison of statistical and machine learning models in predicting PM2.5 from high-resolution satellite aerosol optical depth
  Atmospheric Environment 2022 DOI: 10.1016/j.atmosenv.2022.119164
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• Characteristics and health risk assessment of fine particulate matter and surface ozone: results from Bengaluru, India
  Environmental Monitoring and Assessment 2022 DOI: 10.1007/s10661-022-09852-6
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• pollucheck v1.0: A package to explore open-source air pollution data
  Journal of Open Source Software 2021 DOI: 10.21105/joss.03435
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• mmaqshiny v1.0: R-Shiny package to explore Air-Quality Mobile-Monitoring data
  Journal of Open Source Software 2020 DOI: 10.21105/joss.02250
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• Developing a Low-Cost Passive Method for Long-Term Average Levels of Light-Absorbing Carbon Air Pollution in Polluted Indoor Environments
  Sensors 2020 DOI: 10.3390/s20123417
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