Abhishek Anand, PhD Candidate at Carnegie Mellon University, Seeking Postdoctoral Positions in Aerosol Measurement and Modeling that Includes Machine and Deep Learning Models
ABHISHEK ANAND,
Carnegie Mellon University Abstract Number: 774
Working Group: Meet the Job Seekers
AbstractI am a fourth year PhD student in the Department of Mechanical Engineering at Carnegie Mellon University. I am working under the mentorship of Prof. Albert Presto. My research interests revolve around advancing air quality monitoring in regions with limited resources, with a specific focus on developing low-cost methods to augment air pollutant datasets.
My PhD research overall focuses on developing low-cost methods to add air pollutant dataset in regions with limited resources for continuous and effective air quality monitoring. I have developed a Computer Vision-based method to extract hourly BC data from existing Beta Attenuation Monitors (BAMs). We are currently gathering BC data from a few locations in the Global South, particularly in Sub-Saharan Africa. I am currently engaged in the next phase of my research, which involves salvaging tapes containing particle deposits from these existing BAMs to measure organics and refractory inorganic components of PM
2.5 using an aerosol mass spectrometer.
My passion for applications of machine and deep learning in aerosol science drove me to utilize 5 years of low-cost sensor data for development of a deep learning-based PM
2.5 level forecast model for Pittsburgh. The model utilizes data from a network of 50 sensors in Allegheny County, thereby providing valuable insights for improving air quality.
As I am on track to defend my PhD thesis by May 2024, I am actively seeking postdoctoral positions in the United States, particularly at universities and national laboratories in the United States. My keen interest lies in aerosol modeling, where I can further explore the integration of machine and deep learning tools to address critical air quality challenges. My anticipated availability for postdoctoral positions begins from June 2024 onwards. This conference presents an excellent platform for me to share my research accomplishments and expertise with potential employers from academia, government, and industry.