Tsegai Yhdego, Ph.D.

Assistant Director, REAT Centre & Postdoctoral Researcher at Florida State University

About

I received my Ph.D. in Industrial Engineering from Florida A&M University. My academic journey includes a BSc. in Electrical and Electronics Engineering (2015) and MSc. in Mechatronics Engineering (2019). My research focuses on small-sample machine-learning algorithms. I specialize in ontology-based federated learning with guaranteed data security and collaborative machine learning through differential privacy. Additionally, I have experience developing flight delay and delay impact forecast models for airline companies and models for predicting vehicle sales rates and probabilities for automotive companies

Publications

Ontology-guided attribute learning to accelerate certification for developing new printing processes

IISE Transactions

2023

Analyzing the Impacts of Inbound Flight Delay Trends on Departure Delays Due to Connection Passengers Using a Hybrid RNN Model

Mathematics

2023

Education

Florida A&M University - Florida State University College of Engineering

Ph.D., Industrial Engineering / May, 2024

Tallahassee, Florida, United States of America

MSc., Mechatronics Engineering / November, 2019

Nirobi

BSc., Electrical and Electronics Engineering / July, 2015

Asmara

Experience

Florida State University

Assistant Director, REAT Centre & Postdoctoral Researcher / May, 2024 — Present

• Research machine learning and optimization to modernize rural area transportation infrastructure. • Coordinate research efforts with the US DOT and the REAT Center's six university consortium members. • Engage with students, staff, community and external stakeholders associated with the REAT Center. • Conduct original and collaborative research resulting in publications in high-impact scientific journals, conferences, workshops, and webinars. • Develop novel and transformative research ideas and lead grant application efforts. • Lead community outreach and workforce development initiatives developed by the REAT Center

Florida A&M University

Graduate Research Assistant / January, 2020 — May, 2024

• Collaborate with professors on research projects, applying Python and Matlab, for data analysis. • Utilize analytical skills in machine learning and applied optimization to analyse research data and draw meaningful insights. • Maintain databases and servers, demonstrating proficiency in data frame and Linux. • Act as a mentor for FAMU international students and provide guidance as an undergraduate research mentor. • Skills Applied: Python, R, Matlab, Flexsim , Machine Learning, Applied Optimization, and Mentorship

GM Financial

Data Science Intern / May, 2023 — August, 2023

• Worked on a project focused on forecasting sales using Python, SAS, SQL, Machine Learning • Conducted comprehensive data pre-processing and exploration to ensure clean and structured data for analysis. • Designed and trained several machine learning models to enhance sales forecasting accuracy. • Skills Applied: Python, SAS, SQL, Kubeflow, MinIO, Machine Learning, Data Pre-processing, Model Design

Hearan Enterprise Ltd

Operations Manager / September, 2018 — December, 2019

• Developed corporate goals using analytical skills in strategic planning. • Applied negotiation skills to build beneficial partnerships with clients. • Ensured legal and regulatory compliance, maintaining document integrity. • Demonstrated leadership and managerial skills in operational management. • Skills Applied: Strategic Planning, Negotiation, Leadership.

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