Sivaraman "Siv" Balachandran, PhD, PE

Assistant Professor, Environmental Engineering, Department of Biomedical, Chemical, and Environmental Engineering


Biography

Renowned environmental engineer, Sivaraman “Siv” Balachandran, earned his MA and PhD in environmental engineering at the Georgia Institute of Technology, where he used statistical air quality models to estimate source contributions to fine particulate matter. He also investigated air pollution emissions from prescribed fires in the southeastern US.

Balachandran has seven peer-reviewed publications with three as first-author and has presented his research at several national academic conferences. He received his BS in civil engineering and a second in engineering and public policy from Carnegie Mellon University.

Balachandran is a licensed Professional Engineer and previously worked as a transportation engineer for the Washington State Department of Transportation and the Seattle Department of Transportation.

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Siv Balachandran


Research Interests

  • Air Quality; Sensitivity Analysis; SAS; Particulate Matter, Biomass Burning; Energy Conservation; Transportation; Climate Change Policies.


Professional Experience

Assistant Professor,  Department of Biomedical, Chemical, and Environmental Engineering, The University of Cincinnati 2014-Present
Graduate Research Assistant, Environmental Engineering, Georgia Institute of Technology 2008-2014
Research Mentor, Environmental Engineering, Georgia Institute of Technology 2007-2014
Associate Civil Engineer, Neighborhood Traffic Engineering, City of Seattle, Department of Transportation (SDOT) 2005-2006
Transportation Engineer, Northwestern Region Traffic, Washington State Department of Transportation (WSDOT) 2000-2005
Environmental Specialist, Headquarters, Maintenance and Operations, Washington State Department of Transportation (WSDOT) 1997-1999
Administrative Assistant, Barrett Kays & Associates 1996-1997
Hazardous Waste Specialist, Environmental Careers Organization (ECO) 1995-1996
Research Assistant, Department of Civil Engineering, Carnegie Mellon University 1990-1993
Research Associate, Environmental Careers Organization (ECO) 1992

 
Fellowships

  • Georgia Power Fellowship, Georgia Institute of Technology
2007-2011
  • Anima Ghosh Fellowship, Georgia Institute of Technology
2008


Publications

Published

• Balachandran, S.; Pachon, J. E.; Hu, Y.; Lee, D.; Mulholland, J. A.; Russell, A. G., Ensemble-trained source apportionment of fine particulate matter and method uncertainty analysis. Atmospheric Environment 2012, 61, (0), 387-394.

Accepted

• Balachandran, S.; Pachon, J. E.; Lee, S.; Oakes, M. M.; Rastogi, N.; Shi, W.; Tagaris, E.; Yan, B.; Yano, A.; Zhang, X.; Weber, R. J.; Bergin, M. H.; Mulholland, J. A.; Zheng, M.; Russell, A. G., Particulate and gas sampling of a prescribed fire in south Georgia, USA. Submitted Atmospheric Environment, 2013.


In Review

• Balachandran, S.; Chang, H.; Pachon, J. E.; Holmes, H. A.; Mulholland, J. A.; Russell, A. G., A Bayesian – based ensemble technique for source apportionment of PM2.5. Submitted, Environmental Science and Technology, 2013.


In Preparation

• Balachandran, S.; Baumann, K.; Pachon, J. E.; Mulholland, J. A.; Russell, A. G., Verification of fire weather forecasts using principal components regression of PM2.5. In preparation, 2013.

• Balachandran, S.; Baumann, K.; Holmes, H. A.; Mulholland, J. A.; Russell, A. G., Spectral analysis of PM2.5 source apportionment methods. In preparation, 2013.


Published as Co-Author

• Maier, M. L.; Balachandran, S.; Sarnat, S. E.; Turner, J. R.; Mulholland, J. A.; Russell, A. G., Application of an ensemble-trained source apportionment approach at a site impacted by multiple point sources. Environmental Science and Technology 2013, 47, (8), 3743-3751.

• Pachon, J. E.; Balachandran, S.; Hu, Y. T.; Mulholland, J. A.; Darrow, L. A.; Sarnat, J. A.; Tolbert, P. E.; Russell, A. G., Development of outcome-based, multipollutant mobile source indicators. Journal of the Air & Waste Management Association 2012, 62, (4), 431-442.

• Pachon, J. E.; Balachandran, S.; Hu, Y. T.; Weber, R. J.; Mulholland, J. A.; Russell, A. G., Comparison of SOC estimates and uncertainties from aerosol chemical composition and gas phase data in Atlanta. Atmospheric Environment 2010, 44, (32), 3907-3914.

• Lee, D.; Balachandran, S.; Pachon, J.E.; Shankaran, R.; Lee, S.; Mulholland, J. A.; Russell, A. G., Ensemble-Trained PM2.5 Source Apportionment Approach for Health Studies. Environmental Science & Technology 2009, 43, (18), 7023-7031.

• Hillamo, R. E.; Kerminen, V. M.; Maenhaut, W.; Jaffrezo, J. L.; Balachandran, S.; Davidson, C. I., Distributions of atmospheric trace-elements at Dye-3, Greenland. 1. Distribution characteristics and dry deposition velocities. Atmospheric Environment Part a-General Topics 1993, 27, (17-18), 2787-2802.


In Preparation as Co-Author

• Hu, Y.; Balachandran, S.; Pachon, J.; Baek, J.; Odman, M. T.; Mulholland, J. A.; Russell, A.  G., Fine particulate matter source apportionment using a hybrid chemical transport and receptor model approach. In preparation, 2013.

• Digby, K.; Balachandran, S.; Redman, J. D.; Holmes, H. A.; Mulholland, J.; Russell, A.,  Application of ensemble-averaged source apportionment techniques and temporal interpolation model in Dallas. In preparation, 2013.

• Redman, J. D.; Holmes, H. A.; Balachandran, S.; Maier, M. L.; Zhai, X.; Ivey, C.; Digby, K.; Mulholland, J. A.; Russell, A. G., Development and evaluation of a temporal interpolation model for fine particulate matter species and source apportionment application in St. Louis. In preparation, 2013.

 

Presentations

• “A Bayesian – Based Ensemble Technique for Source Apportionment of PM2.5”, American Association of Aerosol Research (AAAR) Annual Meeting, October 2012, Minneapolis, MN.

• “Development of an Ensemble-Trained Source Apportionment for PM2.5: Use for Estimating Uncertainties”, AAAR Specialty Conference, March 2010, San Diego, CA and AAAR Annual Meeting, October 2010, Portland, OR.

• “Development of an Ensemble-Trained Source Apportionment for PM2.5”, AAAR Annual Meeting, October 2009, Minneapolis, MN.

 

Posters

• “A Bayesian Ensemble-Trained Method for Source Apportionment of PM2.5, Community Modeling and Analysis System (CMAS) Annual Conference, October 2012, Chapel Hill, NC.

• “Verification of Fire Weather Forecasts Using PM2.5 Sensitivity Analysis”, American Association of Aerosol Research (AAAR) Annual Meeting, October 2012, Minneapolis, MN

• “Analysis of a Prescribed Fire”, AAAR Annual Meeting, October 2009, Minneapolis, MN.