Mulugeta Adibaru Kiflie| Deep Learning| Best Researcher Award

Dr.Mulugeta Adibaru Kiflie, Adama Science and Technology University,Colombia

Dr.Mulugeta Adibaru Kiflie, PhD Cand. is an Assistant Professor specializing in Computer Science and Engineering. With over 14 years of experience in academia and industry, he excels in digital entrepreneurship, IT education, machine learning, and ICT management. He leverages Python for data analysis in agriculture, health, education, and business, aiming to optimize digitalization for sustainable development. Mulugeta is also adept in project management, technical proposal writing, and mentoring. His extensive skill set includes advanced statistical models and proficiency in various software packages.

Publication Profile

Orcid

Education And Experience

Dr.Mulugeta Adibaru Kiflie is a dedicated professional in digital entrepreneurship, IT education, and machine learning. With over 14 years of experience in academia and industry, he excels in digital marketing analysis, data management, and statistical modeling. Mulugeta is passionate about utilizing Python for agricultural, health, and business data analysis to predict outcomes and uncover trends. As an assistant professor and machine learning research fellow, he mentors students, conducts research, and delivers professional training. Fluent in English and Amharic, he holds multiple certifications in deep learning, data science, and business intelligence. 👨‍🏫

Professional Development

Dr.Mulugeta Adibaru Kiflie, a Ph.D. candidate and Assistant Professor at Adama Science and Technology University, Ethiopia, is a dedicated computer scientist and engineer with over 14 years of experience in academia and industry. His expertise includes digital entrepreneurship, IT education, machine learning, data analytics, and ICT management. Mulugeta excels in leveraging Python for data analysis across various fields, such as healthcare and agriculture, to predict outcomes and optimize digital practices for sustainable development. He is proficient in statistical software like SPSS, R, and STATA, and is committed to mentoring students and conducting innovative research in AI and digital technology.

Research Focus

Dr. Mulugeta Adibaru Kiflie’s research focuses on various applications of computer science and engineering in fields such as healthcare, agriculture, and education. His expertise includes digital entrepreneurship, IT education, machine learning, and data analysis. His work emphasizes the use of deep learning and machine learning techniques to address issues like crop disease detection, precision agriculture, electronic health record analysis, and species identification. Additionally, he is skilled in digital marketing analysis, database management, and statistical modeling, making significant contributions to the optimization of digital practices for sustainable development.

Publication Top Notes

EfficientNet Ensemble Learning: Identifying Ethiopian Medicinal Plant Species and Traditional Uses by Integrating Modern Technology with Ethnobotanical Wisdom (2024) – Computers, DOI: 10.3390/computers13020038, cited by: N/A
Deep Learning for Medicinal Plant Species Classification and Recognition: A Systematic Review (2024) – Frontiers, cited by: N/A
Energy-Based Simulation and Performance Evaluation of Routing Protocols of Wireless Sensor Networks (WSN) (2016) – International Journal of Computer Science and Telecommunications, vol. 7, no. 6, pp. 1–8, cited by: N/A
Simulation-Based Performance Comparison of Reactive and Proactive Routing Protocols of MANET under CBR and TCP Traffic Model (2016) – International Journal of Engineering Research, vol. 5, no. 02, cited by: N/A