FREDA ELIKEM DORBU

Email: aduyzs@r.postjobfree.com Tel: 240-***-****

EXECUTIVE SUMMARY

A self-motivated data scientist, versatile and ready to learn; experienced in using machine learning and deep learning. Research is on the application of artificial intelligence to determine anomalies in remote sensing image data. EDUCATION

PhD in Computational Data Science and Engineering Expected date 2024 College of Engineering

North Carolina Agricultural & Technical State University GPA: 3.82

Master of Science in Agribusiness and Food Industry Management 2018-2020 College of Engineering

North Carolina Agricultural & Technical State University GPA: 3.85

Bachelor of Science in Agricultural; Post- Harvest Technology 2008-2012 University of Ghana, Legon

Accra, Ghana

GPA: 3.26

CLASS PROJECTS:

• Used machine learning algorithms to model Iris dataset for class prediction

• Applied python scripting to create time-series heat maps to identify trends of wildfires and air quality in states in California

• Performed u-net semantic segmentation for detection of weed and crop

• Applied machine learning classification algorithms for crop mapping SKILLS / COMPETENCIES

Python, C++, Big Data, Hadoop, Apache/Spark, SQL, R-programming, Tableau, Power BI, Computer vision, ArcGIS, Agisoft Photoscan, MATLAB, Linux OS, Ecognition, ENVI, Microsoft office suite, excel, Publisher, SPSS, Solver Algorithm, High Typing speed. Research-based writing skills

WORK EXPERIENCE

Graduate Research Assistant (NSF funded project; computer vision) 2020 – till date North Carolina A&T State University

• Developing artificial intelligence model for automatic labelling of image data using python

• Creating machine learning algorithm using python to identify individual crops and crop crown in image data

• Applied u-net semantic segmentation for crop and weed detection in an outsourced data

• Processed 2D images into 3D images using Agisoft Photoscan

• Assisted in collection of image data using drones

• Used analytical tools to detect variation in remote sensing image data for anomaly detection

• Assisted in developing a research design implemented in farm plot treatment for experimental research

• Assisted in designing a UAV flight plan for the project

• Published research papers

INFEWS-ER Student Mentor (NSF) 2020-2021

• Mentored student from different schools for the project development

• Provided resources for information necessary for the project

• Assisted in the collection of data

• Contributed to the creation of model for analytical purposes

• Contributed to the writing of the research paper on means, motive, and opportunity INFEWS-ER Scholar (NSF) 2019-2020

• Participated in the Cohort program.

• Used search engines to collect sentimental data from twitter

• Provided additional quantitative data needed for the project

• Used data mining approach to pre-process the two sets of data and submitted a cleaned data for analysis

• Analyzed data using python for sentimental analysis

• Used statistical algorithms to create model for cause-effect loop for livestock development, South Dakota

• Contributed to writing a research paper

Graduate Research Assistant 2019-2020

North Carolina A&T State University, Agricultural Research Center

• Used mathematical algorithm in SPPS to create a multidimensional mapping of factors that affect food purchase in food deserts

• Used excel to clean data for analysis

• Contributed to writing a research paper

• Performed analysis of survey data using OptionFinder Graduate Teaching Assistant 2018

North Carolina A&T State University, Biology Department

• Provided mentoring, tutoring and academic instructional assistance to over 80 students

• Assessed students’ understanding of the course class activities, tests and exams

• Helped students enhance their understanding of the course

• Assisted students in the construction of their class projects Intern Research Assistant 2018

North Carolina A&T State University, Cooperative Extension

• Submitted comprehensive evaluation of LFA Program

• Analyzed research data on daily basis using excel

• Participated in seminar discussion about Environmental Farm Systems with farmers in Goldsboro, North Carolina

• Submitted evaluation on workshop

• Drafted a Curriculum on Subject of Entrepreneurship for Middle School Students

• Attended a Conference held by North Carolina AgrAbility Chapter and submitted a report on the conference Research Assistant 2014

University of Ghana ISSER

• Traveled within 19 districts in Ghana to report on developments in the various areas

• Interviewed both households and stakeholders on their perception of developments in the local regions

• Collected data using the Open Data Kit installed on a Tabloid

• Used both English and native languages to communicate with people as needed ORGANIZATION

• ASPRS

• MANNRS

AWARDS/RECOGNITION

• Gamma Sigma Delta (Honorary Membership)

• Six Sigma certification

• ASPRS conference participant certificate

• ASPRS conference second best presenter

• Agile certificate

PUBLICATION /PRESENTATION

Hashemi-Beni L, Gebrehiwot A, Karimoddini A, Shahbazi A, Dorbu Freda (2022). Deep Convolutional Neural Networks for Weeds and Crops Discrimination from UAS Imagery

Kate I. T. Bird, Virginia A. Nichols, Eduardo S. Garay, Matthew Nowatzke, Ch’Ree Essary, Kimberly K. Post, Alison V. Deviney, Jacqueline S. Welles, Mumuni O. Alao, Freda Elikem Dorbu9, John J. Classen7, Jacek A. Koziel, and Erin L. Cortus (2022). Means, motive, and opportunity: A method for understanding stakeholder agency within food–energy–water systems Asmamaw Gebrehiwot, Freda Dorbu, Abdella Salem, Tewodros Gebre, Leila Hashemi-Beni (2022). UAV Surveying for Environmental Studies. Dorbu, F, Hashemi-Beni L, Karimoddini A, Shahbazi A (2021). UAV Remote Sensing Assessment of Crop Growth. Dorbu F, Hashemi-Beni, L (2021). Identification of Corn Lodging using U-Net Semantic Segmentation Jacqueline S. Welles, Noelle Cielito T. Soriano, Freda Elikem Dorbu, G. M. Pereira, Laura M. Rubeck, Erica L. Timmermans, Benjamin Ndayambaje, Alison V. Deviney, John J. Classen, Jacek A. Koziel and Erin L. Cortus (2021).Socio-Economic and Governance Conditions Corresponding to Change in Animal Agriculture: South Dakota Case Study Dorbu, F., Hashemi-Beni, L, Karimoddini, A., & Shahbazi, A (2021). Time-Series Crop Growth Study using UAV Remote Sensing-NC GIS

(Poster). https://carolinaurisa.org/about-curisa/2021-nc-gis-conference-poster-session/ Dorbu, F. & Hashemi-Beni, L (2020). Crop Growth Study Using UAV Remote Sensing Method- NC ASPRS Student Symposium. Thomas, T & Dorbu, F (2020). The influence of Food Attributes on Purchasing Behavior of Food Desert Residents in Eastern Greensboro, NC: Multidimensional Scaling Approach - American Journal of Biomedical Science and Research. https://biomedgrid.com/fulltext/volume11/influence-of-food-attributes-on-purchasing-behavior.001593.php Liang, K. (2018). Strengthening University Local Food Systems: Train the Trainer Approach through Extension, Student, and Food Service Collaboration (Contributed). https://projects.sare.org/project-reports/es14-124/

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