Category: Graduate Student

• Ph.D. Student
  Advisor: Dr. Mo Zhou
• Department of Forestry and Natural Resources, Purdue University, IN
• ghosh68@purdue.edu

Research Interests

• To create usable science relating to societal well-being in less developed regions by understanding the transitional dynamics of land use and land cover change under drivers of deforestation and changing patterns of ownership using mixed-method approaches that draw on data integration, dynamic modeling, statistics, and economics.

Education

• 2015 – 2017, Master of Business Administration, Forest Management, Indian Institute of Forest Management, Bhopal, India
• 2010 – 2013, Bachelor of Science, Economics, St. Xavier’s College, Kolkata, India

• Master’s Student
  Advisor: Dr. Jingjing Liang
• Forest Ecology, remote sensing
• E-mail: pnagara@purdue.edu

Education

• 2016 – 2020, Bachelor of Engineering, Geo-Informatics, College of Engineering Guindy, Anna University, India    

Advisor: Dr. Sanjeevi Shanmugam                                                                                         Thesis: A hybrid approach to Super Resolution Mapping of reservoir boundary from multidate Landsat OLI images using Ant Colony Optimization and Genetic Algorithm

Research Interests

• Identification of afforested regions at continental scales using remote sensing, big data and machine learning techniques and assessing its role in carbon sequestration

Research Experience  

• College of Engineering Guindy, Anna University, India (Dec, 2017 – April, 2020)

Carried out the following projects under Dr. Sanjeevi Shanmugam, Professor of Remote Sensing, Anna University

• Mapped crude-oil leak affected vegetation, soil and water bodies in Thanjavur and Thiruvarur districts, south India using Sentinel – 2 satellite images
• Comparative studies on land degradation in south India due to oil-leak and tannery effluents using Landsat and Sentinel – 2 images
• Visualizing economic slowdown in India through satellite images
• Extracting high resolution information (6m) of reservoir boundary from Landsat OLI images (30m) using Super Resolution Mapping techniques based on Ant Colony Optimization and Genetic Algorithm
• Department of Earth and Space Sciences, Indian Institute of Space Science and Technology, Indian Space Research Organisation, India (May, 2019 – June, 2019)
• Interned under Dr. Gnanappazham Lakshmanan, Associate Professor, Department of Earth and Space Sciences through Summer Research Internship Programme’19 and worked on classification of mangrove species in Worldview-2 images using machine learning algorithms (Random Forest and KNN) in the pixel-based and object-based approaches
• Centre of Atmospheric and Oceanic Sciences, Indian Institute of Science, India (May, 2018 – June, 2018)
• Interned under Dr. Arindam Chakraborty, Associate Professor, Centre of Atmospheric and Oceanic Sciences through Summer Research Fellowship Programme’18 of the Indian Academy of Sciences. Worked on recent changes in summer monsoon onset dates over South and East Asia and analyzed its relationship to atmospheric parameters such as precipitable water, surface pressure and winds. 
• CEG (College of Engineering Guindy) Tech Forum, Anna University, India (July – Nov, 2017)
• Worked on modelling Land Surface Temperature (LST) for snow covered regions under Dr. Sujata Dash, Defence Research Development Organisation.

PRESENTATION OF RESEARCH FINDINGS IN CONFERENCES AND TECHNICAL SYMPOSIUMS

• Padmageetha Nagarajan, Sanjeevi Shanmugam, 2020. Visualising an indicator of economic slowdown in multidate satellite images. National Conference on Application of Geospatial Technologies in Management of Natural Resources and Disaster, India
• Padmageetha Nagarajan, Sanjeevi Shanmugam, 2019. Multispectral satellite sensing for comparative studies on land degradation in south India due to oil-leak and tannery effluents. 7^th International Conference on Contemporary Engineering and Technology, India
• Padmageetha Nagarajan, 2019. Recent changes in summer monsoon onset dates over South and East Asia. Celestia, an intra college symposium, Anna University, India
• Padmageetha Nagarajan, Upanisha Kannan, 2018. A study on the potential of Sentinel-2 multispectral images to map the crude-oil leak affected areas of Thanjavur and Thiruvarur districts, South India. National Conference on Recent Innovations in Civil Engineering, India
• Padmageetha Nagarajan, Afshaan A, 2017. Artificial Intelligence in agriculture: An intelligent virtual assistant for farmers. Celestia, an intra college symposium, Ann University, India

PUBLICATIONS

• N. Padmageetha and S. Sanjeevi (2019), ‘Multispectral satellite sensing for comparative studies on land degradation in south India due to oil-leak and tannery effluents’, Journal of Applied Science and Computations, Volume – 6, Issue – 6, 636 – 651
• N. Padmageetha and K. Upanisha, (2018), ‘A study on the potential of Sentinel-2 multispectral images to map the crude-oil leak affected areas of Thanjavur and Thiruvarur districts, South India’, International Journal of Emerging Technology and Advanced Engineering, Volume – 8, Issue – 6, 83-89

AWARDS

• 2019 – Paper Presentation, First prize, Celestia, Anna University, India
• 2018 – Awarded Summer Research Fellowship, Indian Academy of Sciences
• 2018 – Best paper award, National Conference on Recent Innovations in Civil Engineering, India
• 2017 – Paper Presentation, First prize, Celestia, Anna University, India

• Ph.D. student,
  Department of Forestry and Natural Resources ,
  Purdue University
• aota@purdue.edu

EDUCATION

• 2018 – MS, Forestry and Natural Resources, Purdue University, IN, advisor: Dr. Jeffrey Dukes,
  Thesis: Potential of biochar to mitigate the effects of extreme precipitation on soil greenhouse gas emissions and soybean growth
• 2016 – BS, Bioenvironmental Sciences, Nagoya University, Japan, advisor: Dr. Kazuhiro Harada
  Specialization: Social Science and Environmental International Cooperation in Southeast Asia
• 2014 – Exchange Program, Southern Illinois University at Carbondale, IL

RESEARCH INTERESTS

To broaden understanding of bird diversity patterns and drives in big scale using statistical and machine-learning techniques as well as to estimate the impacts of climate change.

MEETINGS

• 2019 – Midwestern Association of Graduate Schools 75^th Annual Meeting, MO: Representative of Purdue University to the Midwest Three Minute Thesis competition

• 2018 – Ecological Society of America Annual Meeting, LA: Oral Presentation

• 2018 – Purdue University Department of Forestry and Natural Resources Research Symposium, IN: Poster Presentation

• 2018 – Midwest Ecology and Evolution Conference, MI: Oral Presentation

• 2017 – Drought-Net Inter-Institutional Meeting at Colorado State University, CO: Student Participant

• 2016 – The Japanese Forest Society 127^th Annual Meeting, Kanagawa, Japan

• 2015 – The 11^th Conference of Youth Paris 2015 in Tokyo, Japan: Student Participant

• 2015 – The 6^th Academic Consortium 21 Student World Forum 2015, Strasbourg, France and Freiburg, Germany, Student Representative of Nagoya University

AWARDS

• 2018 – Purdue Climate Change Research Center Travel Grant

• 2018 – Three Minute Thesis Competition, Second Place, Purdue University

• 2016 – Takenaka Foundation Scholarship

• 2016 – Best Senior Presentation Award, Nagoya University

• 2013 – Japan Student Services Organization, Exchange Student Scholarship