Atena Haghighattalab

Education

Ph.D. Department of Geography, Kansas State University, Manhattan, KS 2016
Dissertation: High-Throughput Phenotyping of Large Wheat Breeding Nurseries using Unmanned Aerial Systems, Remote Sensing and GIS Techniques
Adviser: Dr. Jesse Poland, Dr. Kevin Price, Dr. Douglas Goodin

M.S. Department of Photogrammetry & Remote Sensing Engineering, K. N. Toosi University of Tech, Tehran, Iran 2010
Thesis: Post-earthquake Road Damage Assessment using Remote Sensing Technologies and GIS

B.S. Department of Survey Engineering (Geomatics), University of Isfahan, Isfahan, Iran 2006

 

Professional Experience

Postdoctoral Research Associate, Plant Pathology Department, Kansas State University Dec 2016 – Current
Working on high-throughput phenotyping using Unmanned Aerial System (UAS) imagery,
• Trait extraction from multispectral, and hyperspectral imagery
• Yield prediction model development
• Geostatistic modeling

Graduate Research Assistant, Plant Pathology Department, Kansas State University Jan 2015 to Dec 2016
Worked on high-throughput phenotyping using Unmanned Aerial System (UAS) imagery,
• Detected field spatial variation using aerial imagery
• Developed a semi-automated data analysis pipeline using open source software: R, Python.

Applied Research Associate, RoboFlight Systems, LLC. Jun-November 2014
• Developed visualization and quantification of crop phenotypic variation (methodology and automation outline)
• Nitrogen content mapping, crop damage (detect weather related damage, disease and weed detection/monitoring, compaction, water stress)
• Crop height measurement using 3D modeling

Graduate Research Assistant, Remote Sensing Department, K.N.Toosi University of Technology, Iran 2007-2010
• Developed a model for urban road damage detection using Genetic Algorithms

 

Teaching Experience

Graduate Teacher Assistant, Geography Department, Kansas State University 2011-2014

Lab Instructor, Cartography and Thematic Mapping Jan - May 2014
Introduction to cartographic theory and principles, thematic map design, symbolization, map perception, color theory, typography, and digital cartographic research. Trained undergraduate students on the latest cartographic software used to produce a series of thematic maps.

Lab Instructor, Environmental Remote Sensing Aug - Dec 2013, and 2012
Remote Sensing and its application to earth study, especially environmental problems and land use.
Trained graduate students on remote sensing applications of aerial photography, and satellite imagery using ERDAS software.

Lab Instructor, Physical Geography May - July 2013, and 2011
Trained undergraduate students to examine the atmosphere, biosphere, geosphere and hydrosphere, with emphasis on processes, patterns, and physical background.

 

International Field Work Experience

International Maize and Wheat Research Center (CIMMYT), Mexico Feb 2016- May 2016, and Feb 2015 – July 2015

  • Collaborated and coordinated an interdisciplinary and international team
  • Led a research project on using different aerial platforms and sensors
  • Collected aerial imagery of large wheat breeding nurseries in different environments using UAS

 

Peer Reviewed Publications

Haghighattalab, A., Crain, J., Mondal, S., Rutkoski, J., Singh, R., Poland, J., “Application of Geographically Weighted Regression to Improve Grain Yield Prediction from Unmanned Aerial Systems Imaging”, Crop Science, accepted on April 23, 2017.

Haghighattalab, A., Gonzalez-Perez, L., Mondal, Singh, D., S., Schinstock, D., Rutkoski, J., Singh, R., Goodin, D., Poland, J., “Application of Unmanned Aerial Systems for High Throughput Phenotyping of Large Wheat Breeding Nurseries”, Plant Methods 12(1): 1-15, 2016.

Izadi, M., Mohammadzadeh, A., Haghighattalab, A., “A new Neuro-Fuzzy approach for post-earthquake road damage assessment using GA and SVM classification from QuickBird satellite images”. J Indian Soc Remote Sens, 2017. doi:10.1007/s12524-017-0660-3

Izadi, M., Mohammadzadeh, A., Haghighattalab, A., “Design and Implementation of a System for Roads Occlusion Detection Using Fuzzy Logic and Support Vector Machine (Case Study: Bam Earthquake)”, Journal of Geomatics Science and technology 5(3): 265-278, 2016.

Haghighattalab, A., Mohammadzadeh, A., Valadan Zoej, M. J., Taleai, M, “Détection automatique des routes endommagées après un tremblement de terre à l'aide d'images QuickBird à très haute résolution”, XYZ Journal, n°124, pp. 41-47, September 2010.

 

Conference Publications

Haghighattalab, A., Mohammadzadeh, A., Valadan Zoej, M. J., Taleai, M, “Post-earthquake road damage assessment using region-based algorithms from high-resolution satellite images", Proceedings of SPIE Vol. 7830, 78301E, 2010.

 

Conference/workshop Invited Speaker

Haghighattalab, A., Wang, X., Poland, J., “Field-Based High Throughput Phenotyping using Proximal and Remote Sensing Technologies”, Nebraska NRIC Predictive Crop Design: Genome-to-Phenome Conference Information, April 2017

Haghighattalab, A., Crain, J., Mondal, S., Rutkoski, J., Singh, R., Poland, J., “Application of geographically weighted regression to improve grain yield prediction from unmanned aerial systems imaging”, 2017 R.F. Baker Plant Breeding Symposium, Iowa State University, March 2017

Haghighattalab, A., Mondal, S., Poland, J., “Application of Unmanned Aerial Systems for High Throughput Phenotyping of large Wheat Breeding Nurseries”, 2016 CIMMYT Wheat Improvement Training Course, Cd Obregon, Mexico, May 2016

 

Conference Posters

Haghighattalab, A., Poland, J., “Application of Moving Circular Spatial Adjustment (MCSA) to increase the accuracy of Spatial Adjustment of Field Trials”, Phenome 2017, Tucson, Arizona, 2017

Wang, X., Singh, D., Haghighattalab, A., McGahee, K., Schinstock, D., & Poland, J.,” Canopy height and GNDVI extraction from sUAS captured images”, Phenotypic Prediction: Image Acquisition and Analysis workshop at Iowa State University, Ames, IA, 2016

Haghighattalab, A., Gonzalez-Perez, L., Mondal, S., Schinstock, D., Rutkoski, J., Singh, R., Goodin, D., Poland, J., “Comparison of UAS platforms and sensors for high throughput phenotyping”, ASPRS UAS Technical Demonstration and Symposium, Nevada, 2015

Singh, D., Haghighattalab, A., Wang, X., McGahee, K., Lucas, M., Schinstock, D. & Poland, J., “A sUAS based high throughput data acquisition and processing pipeling for breeding programs”, ASA-CSSA meeting, Minneapolis, MN, 2015

 

Conferences and Seminars

Phenome 2017, Tucson, Arizona Feb, 2017

Plant Phenomics: from pixels to traits, Lincoln, Nebraska Oct 2015

ASPRS UAS Technical Demonstration and Symposium, Reno, Nevada Sep 2015

Annual Meeting of the Great Plains/Rocky Mountain Division of the AAG , Salt Lake City, Utah Oct 2012

SPIE Remote Sensing Symposium, Toulouse, France Sep 2010

Disaster management conference, University of Tehran, Iran Dec 2008

Geomatics Seminars, Tehran, Iran 2006-2010

 

Awards

Travel award, The first annual Phenome 2017 conference, Tucson, Arizona 2017

Geography graduate research grant, Geography Department, Kansas State University 2016

Graduate student council travel award, Kansas State University 2014