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Welcome to my e-portfolio site! I'm Narmadha (Meenu), a graduate student in Statistics who adore opportunities to expand my knowledge and skills as a Data scientist/Statistician. In this portfolio, I reflect on my research projects, teaching experience, industrial experience, leadership, hobbies, and interests.
"All we have to decide is what to do with the time that is given to us."- J.R.R. Tolkien as Gandalf, in The Fellowship of the Ring |
Recent News
March 2022: New paper on arXiv.org.
Mohankumar, N. M., Hefley, T. J., Silber, K., Boyle, W. A., & (2022). Data fusion of distance sampling and capture-recapture data.
(https://arxiv.org/abs/2203.03960)
July 2021: Published article in Ecology: "Using machine learning to model nontraditional spatial dependence in occupancy data."
(https://esajournals.onlinelibrary.wiley.com/doi/10.1002/ecy.3563)
May 2021: Scholarship Awards
Lolafaye Coyne Statistics Graduate Scholarship Award
K-State Alumni Association International Student Scholarship Award
Office of International Programs Scholarship Award
May 2020: New paper on arXiv.org.
Hefley, T. J., Boyle, W. A., & Mohankumar, N. M. (2020). Accounting for location uncertainty in distance sampling data.
(https://arxiv.org/abs/2005.14316)
May 2020: New paper published in the Journal of Atmospheric and Oceanic Technology.
Patrignani, A., Mohankumar, N., Redmond, C., Alvarez Santos, E., & Knapp, M. (2020). Optimizing the Spatial Configuration of Mesoscale Environmental Monitoring Networks Using a Geometric Approach. Journal of Atmospheric and Oceanic Technology, (2020). (https://doi.org/10.1175/JTECH-D-19-0167.1)
April 2020: Alumni Association of Kansas State University International Leadership Award winner (2020).
April 2020: K-State International Student and Scholar Services of Kansas State University scholarship award winner (2020/2021).
February 2020: Presented on "An Integrated Population Model for Spatial Capture-Recapture and Distance Sampling Data" in the Three minute thesis competition 2019)
January 2020: Presentation on "Using Machine Learning Techniques to Identify Nontraditional Spatial Dependence in Occupancy Data" at the International Conference on Environmental and Medical Statistics 2020.
March 2022: New paper on arXiv.org.
Mohankumar, N. M., Hefley, T. J., Silber, K., Boyle, W. A., & (2022). Data fusion of distance sampling and capture-recapture data.
(https://arxiv.org/abs/2203.03960)
July 2021: Published article in Ecology: "Using machine learning to model nontraditional spatial dependence in occupancy data."
(https://esajournals.onlinelibrary.wiley.com/doi/10.1002/ecy.3563)
May 2021: Scholarship Awards
Lolafaye Coyne Statistics Graduate Scholarship Award
K-State Alumni Association International Student Scholarship Award
Office of International Programs Scholarship Award
May 2020: New paper on arXiv.org.
Hefley, T. J., Boyle, W. A., & Mohankumar, N. M. (2020). Accounting for location uncertainty in distance sampling data.
(https://arxiv.org/abs/2005.14316)
May 2020: New paper published in the Journal of Atmospheric and Oceanic Technology.
Patrignani, A., Mohankumar, N., Redmond, C., Alvarez Santos, E., & Knapp, M. (2020). Optimizing the Spatial Configuration of Mesoscale Environmental Monitoring Networks Using a Geometric Approach. Journal of Atmospheric and Oceanic Technology, (2020). (https://doi.org/10.1175/JTECH-D-19-0167.1)
April 2020: Alumni Association of Kansas State University International Leadership Award winner (2020).
April 2020: K-State International Student and Scholar Services of Kansas State University scholarship award winner (2020/2021).
February 2020: Presented on "An Integrated Population Model for Spatial Capture-Recapture and Distance Sampling Data" in the Three minute thesis competition 2019)
January 2020: Presentation on "Using Machine Learning Techniques to Identify Nontraditional Spatial Dependence in Occupancy Data" at the International Conference on Environmental and Medical Statistics 2020.
