shital_resume_2015

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431 Parkfair Dr, Sacramento, CA, 95864 S HITAL D HAKAL 9165968562 [email protected] EDUCATION M.S in Hydrology (Geosciences) Boise State University, US Fall 2015 (Expected) Graduate Certificate in GIS Boise State University, US Summer 2015 B.E in Geomatics Engineering Kathmandu University, Nepal Spring 2013 Research Exchange Student University of Nice, France Fall 2012 RELATED EXPERIENCE Research Assistant Boise Center Aerospace Laboratory (BCAL) , Idaho Jan, 2014 - Present Used Lidar and Landsat to estimate semi-arid rangeland biomass and cover Processing of remote sensing data (Lidar, multispectral and hyperspectral) using ENVI and ArcGIS. Developed and presented statistical multiple linear regression, regression tree and machine learning model (Random Forest) using MATLAB, R and SPM. Carried out terrestrial laser scanning and reflectance spectroscopy in the field. Cooperated and Worked as a team with post-doctoral research fellow and PhD candidates, and agencies (USGS, Joint Fire Science Program, etc.) for RS data collection, GIS analysis and statistical investigation. Lecturer Kantipur International College of Engineering & Management, Nepal March-Dec ,2013 Courses taught: Engineering Survey and GIS to Civil Engineering sophomore students Research Intern UMR 7300 ESPACE CNRS, France Aug, 2012-Feb, 2013 Developed and calibrated hydrological model using HEC-HMS/GeoHMS Estimated the runoff in the Giscle catchment in France using the self-developed GIS model Used ERDAS and ArcGIS to process to study the fire ignition risk in Mediterranean forest TECHNICAL SKILLS Lidar & Remote Sensing: Point cloud and Image processing using ENVI, ERDAS/LPS, Terrascan GIS & mapping: ESRI ArcGIS (ArcMap, ArcCatalog, ArcSDE), Google Earth/Map Engine, QGIS Programming/Database: Matlab, R, Python(Arcpy), C, PostgreSQL, MS Access, PHP and HTML, HPC Engineering Survey: Topographic and Construction Survey, Total Station, RTK GPS, Topcon/Sokkia Link Hydrology: LACHAT Ion Chromatography, Campbell CR 1000 datalogger, HEC-RAS/HEC-HMS Other: Auto CAD, Adobe Photoshop and Illustrator, Webmap Server, Netlogo RELATED TRAINING/ WORKSHOP Intensive Summer School for High Performance Computing (ISSCENS), NASA & University of Virginia (2015) Google Mapping Workshop (Geo for Higher Ed), Google Headquarters, Mountain View (2014) International Federation of Surveyors (FIG) Congress and FAO Roundtable Session, Malaysia (2014) Leadershape- Leadership development retreat, Challis, US (2014) PUBLICATIONS/ CONFERENCES Dhakal.S, A.Li, N. Glenn, et al 2015. “Estimating Aboveground Biomass of Sagebrush Using Lidar and Random Forest Regression”. Great Basin Consortium Conference, Boise, Idaho, US. Dhakal.S, N. Glenn, D.Shinneman, et al 2014. “Using Multispectral Imagery and Lidar to scale up aboveground biomass in the sagebrush-steppe, SER Regional Conference, Redmond, Oregon (Second best poster). Dhakal.S, D.M. Fox 2014. “Hydrological Modeling of the Potential Impact of Forest Fire on Runoff in a Mediterranean Catchment” Proceedings of XXV FIG Congress, Kuala Lampur, Malaysia (Peer reviewed). Dhakal.S, 2012. “Land Cover Change and Urban Settlement Extraction in Kathmandu Valley Using Remote Sensing: A Proposition” GeoSpace, Geo-ICT Journal of GES, 1 (1):31-33. LANGUAGES English (Bilingual), Nepali (Native), Hindi (Proficient), French(Intermediate) Objective: Seeking career oriented internship/job opportunities. Willing to relocate after graduation.

Transcript of shital_resume_2015

Page 1: shital_resume_2015

431 Parkfair Dr, Sacramento, CA, 95864 S H I T A L D H A K A L

9165968562 [email protected]

EDUCATION

M.S in Hydrology (Geosciences) Boise State University, US Fall 2015 (Expected) Graduate Certificate in GIS Boise State University, US Summer 2015 B.E in Geomatics Engineering Kathmandu University, Nepal Spring 2013 Research Exchange Student University of Nice, France Fall 2012

RELATED EXPERIENCE

Research Assistant Boise Center Aerospace Laboratory (BCAL) , Idaho Jan, 2014 - Present

Used Lidar and Landsat to estimate semi-arid rangeland biomass and cover Processing of remote sensing data (Lidar, multispectral and hyperspectral) using ENVI and ArcGIS. Developed and presented statistical multiple linear regression, regression tree and machine learning model

(Random Forest) using MATLAB, R and SPM. Carried out terrestrial laser scanning and reflectance spectroscopy in the field. Cooperated and Worked as a team with post-doctoral research fellow and PhD candidates, and agencies (USGS,

Joint Fire Science Program, etc.) for RS data collection, GIS analysis and statistical investigation.

Lecturer Kantipur International College of Engineering & Management, Nepal March-Dec ,2013

Courses taught: Engineering Survey and GIS to Civil Engineering sophomore students

Research Intern UMR 7300 ESPACE CNRS, France Aug, 2012-Feb, 2013

Developed and calibrated hydrological model using HEC-HMS/GeoHMS

Estimated the runoff in the Giscle catchment in France using the self-developed GIS model Used ERDAS and ArcGIS to process to study the fire ignition risk in Mediterranean forest

TECHNICAL SKILLS

Lidar & Remote Sensing: Point cloud and Image processing using ENVI, ERDAS/LPS, Terrascan

GIS & mapping: ESRI ArcGIS (ArcMap, ArcCatalog, ArcSDE), Google Earth/Map Engine, QGIS Programming/Database: Matlab, R, Python(Arcpy), C, PostgreSQL, MS Access, PHP and HTML, HPC

Engineering Survey: Topographic and Construction Survey, Total Station, RTK GPS, Topcon/Sokkia Link Hydrology: LACHAT Ion Chromatography, Campbell CR 1000 datalogger, HEC-RAS/HEC-HMS

Other: Auto CAD, Adobe Photoshop and Illustrator, Webmap Server, Netlogo

RELATED TRAINING/ WORKSHOP

Intensive Summer School for High Performance Computing (ISSCENS), NASA & University of Virginia (2015) Google Mapping Workshop (Geo for Higher Ed), Google Headquarters, Mountain View (2014) International Federation of Surveyors (FIG) Congress and FAO Roundtable Session, Malaysia (2014) Leadershape- Leadership development retreat, Challis, US (2014)

PUBLICATIONS/ CONFERENCES

Dhakal.S, A.Li, N. Glenn, et al 2015. “Estimating Aboveground Biomass of Sagebrush Using Lidar and Random Forest Regression”. Great Basin Consortium Conference, Boise, Idaho, US. Dhakal.S, N. Glenn, D.Shinneman, et al 2014. “Using Multispectral Imagery and Lidar to scale up aboveground biomass in the sagebrush-steppe, SER Regional Conference, Redmond, Oregon (Second best poster). Dhakal.S, D.M. Fox 2014. “Hydrological Modeling of the Potential Impact of Forest Fire on Runoff in a Mediterranean Catchment” Proceedings of XXV FIG Congress, Kuala Lampur, Malaysia (Peer reviewed). Dhakal.S, 2012. “Land Cover Change and Urban Settlement Extraction in Kathmandu Valley Using Remote Sensing: A Proposition” GeoSpace, Geo-ICT Journal of GES, 1 (1):31-33. LANGUAGES

English (Bilingual), Nepali (Native), Hindi (Proficient), French(Intermediate)

Objective: Seeking career oriented internship/job opportunities. Willing to relocate after graduation.