Academic Experience

Feb 2018 – Present

The University of California DavisPost-Doctoral Research – John Muir Institute of the Environment, University of California, Davis, USA.
Area of Research: Climate Change, Forest Fire, NO2 Emission, Air Pollution and Land use change analysis using Machine Learning and Deep Learning Algorithms. – Identified the potential seasonal changes in NO2 Emission in various counties of California, USA – Developed the pixel wise geo-processing prediction model using A rcGI S with machine learning algorithms – Various trends of air pollution is identified in different land uses (Agriculture, Natural and Urban Geospatial data) of California, USA. – Developed an efficient and automated approach namely TFO-Termite Fly Optimization algorithm towards predicting the amount of air pollution in California, USA

Dec 2016
Pitt Public Health, Pittsburgh, PA, USA
Attended a week long hands-on training in the use and application of FRED (Framework for Reconstructing Epidemic Dynamics), agent-based modeling and decision analytic tools developed at Pitt Public Health,Pittsburgh University, USA
Oct 2015 – Sep 2017
Teaching cum Research Assistant
School of Information Technology and Engineering,
Vellore Institute of Technology University,Vellore, Tamil Nadu, India.
Area of Research: Big data for climate change
– Identified the potential seasonal diseases geographically– Developed climate change detection algorithms– Analyzed the link between climate changes and disease outbreaks
Oct 2014 – Sep 2015
Research Associate
School of Information Technology and Engineering
Vellore Institute of Technology University,Vellore, Tamil Nadu, India
Area of Research:Geospatial analytics for big spatio-temporal data
-Analyzed geospatial big climate and health data with Hadoop MapReduceand NoSQL databases– Developed big data architecture and computational models to analyzespatial and temporal dynamics of dengue and malaria– Developed geospatial big data visualization methods with integration ofApache Hive and ArcGIS software
Apr 2013 – Aug 2014
Research Assistant
Funded Project:
Spatio-temporal transmission model of H1N1 using clustering technique in Vellore, Tamil Nadu, India
Funded By: Indian Council of Medical Research (ICMR)
Division of Epidemiology Communicable Diseases (ECD) New Delhi, India
Fund: $ 25454.97 (17,07,912 INR), Award No: 32/1/2010-ECD-I
School of I nformation T echnology and EngineeringVellore Institute of Technology University, Vellore, India
Area of Research: Spatio temporal data mining
– Developed mathematical models to control the spatio temporaltransmission of Influenza A (H1N1)
– Developed the Geographical I nformation System (GIS) based predictionmodel to analyze the hot spot regions
– Developed a spatial clustering algorithm to predict the spatio temporaltransmission of Influenza A (H1N1)
– Developed the fuzzy decision making model to find the best vaccinationalternative and prevent the Influenza A (H1N1).
– Developed a web enabled interface for visual illustration of the projectresults that can be used by the District Administrative authorities toprevent the spread of Influenza A (H1N1).

Teaching Experience

Oct 2015 - Dec 2016

Teaching Cum Research Assistant
School of Information Technology and Engineering
Vellore Institute of Technology UniversityVellore, Tamil Nadu, India
Lab Instructor/Teaching Assistant
Courses Handled:
- Cloud Computing and Internet of Things
- Data Mining and Knowledge Discovery
- Big Data Analytics

Dec 2016 - Dec 2017

Visiting Professor
Vellore Institute of Technology University, Vellore, Tamil Nadu, India - Wipro Software Technology Academy (WiSTA), India
Courses Handled:
Computer Networks, Data Structure and A lgorithms

Administrative Experience

Oct 2014 - Sep 2015

Invigilator
Assessment Tests, Semester Exams and Practical Exams
Vellore Institute of Technology University, Vellore, Tamil Nadu, India - Wipro Software Technology Academy (WiSTA), India