Aalok Sharma Kafle

Doctoral of Engineering

Professional Engineer (P.E.) - State of Michigan

Engineer-In-Training (EIT) - Texas Board

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Hello and welcome! I’m Aalok Sharma Kafle, Doctor of Engineering from Lamar University with a specialization in Civil Engineering. My expertise lies in water resources, with a strong focus on Hydrology & Hydraulics (H&H) analysis, climate risk assessment, and the management of extreme climatic conditions such as floods and droughts.

I am passionate about bridging the gap between theory and practice by applying advanced modeling, data analysis, and engineering tools to solve real-world water resource challenges.

Currently, I am working as a Staff Water Resource Engineer at infraTECH Engineers and Innovators, where I am contributing to large-scale projects aimed at improving flood resiliency and enhancing benefit evaluation frameworks for flood mitigation initiatives.

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Education

  • Lamar University, Beaumont, Texas
  • GPA: 4.00
  • Texas Tech University, Lubbock, Texas
  • GPA: 4.00
  • Khwopa College of Engineering, Tribhuvan University, Kathmandu, Nepal.

Current Research Endeavors

Collaborating with my team at infraTECH, alongside HDR, to develop flood resiliency strategies for the Sims Bayou, Clear Creek, and Vince Bayou watersheds. Utilizing ArcGIS Pro, ArcGIS Web Map, ArcGIS Dashboards, and Python to analyze spatial data, visualize results, and support decision-making in coordination with the U.S. Army Corps of Engineers.
Partnering with DCCM and multiple stakeholders as part of infraTECH team at to automate benefit computations using Python scripts and GIS Model Builder workflows. This automation increases efficiency, accuracy, and consistency in evaluating project benefits for Harris County flood mitigation initiatives.
  • Develop an MCDM model using geomorphometric methods to classify watersheds based on flood risk.
  • Utilize Python and GIS tools for data analysis and model development.
  • Investigate how DEM resolution impacts the delineation of watersheds, particularly in low-relief coastal areas.
  • Conduct sensitivity analysis to understand the implications for flood risk assessment.
  • Create an open-source R package, named FloodMetrics, for modern flood frequency analysis.
  • Package includes a comprehensive set of tools for frequency analysis, making it accessible to practicing engineers.

Blog Posts

Highlights