Assist Prof Dr. Teshome bekele Dagne, Human machine Award, Best Researcher Award.

Teshome bekele Dagne at Wolkite University, Ethiopia

Assistant Prof Dr. Teshome Bekele Dagne is an industrial engineer from Bishoftu, Ethiopia, with a Ph.D. in Industrial Engineering and Management from the National Taiwan University of Science and Technology. He has accreditation in Data Science and Analytics as well as Human Factor Engineering from the same university. Teshome has certifications in various fields, including data science, human factor engineering, and conferences on logistics, engineering, CSR, and sustainability development. He has teaching experience at National Taiwan University of Science and Technology and industrial working experience. His research work includes projects on intelligent control systems for energy conservation and human-robot collaboration. Teshome is interested in sustainable industrial production systems.

Profile:

Scopus Profile

Education:

Teshome Bekele Dagne holds a Ph.D. in Industrial Engineering and Management from the National Taiwan University of Science and Technology, Taipei, Taiwan.

Professional Experience:

Teshome has teaching experience at National Taiwan University of Science and Technology, Taipei, Taiwan, and industrial working experience.

Research Interest:

His research focuses on intelligent control systems for energy conservation and human-robot collaboration, with an interest in sustainable industrial production systems.

Publication Top Noted:

Bilayer stochastic optimization model for smart energy conservation systems” in Energy, 247, 123502.

“Balancing thermal comfort and energy conservation–A multi-objective optimization model for controlling air-condition and mechanical ventilation systems” in Building and Environment, 109237.

“Intelligent control for energy conservation of air conditioning system in manufacturing systems” in Energy Reports, 7, 2125-2137.

“Data-driven optimization control of industrial building for energy conservation adapting to environmental dynamics.”

“Adaptive indoor temperature design scheme for balancing thermal comfort and task performance.”

“Data-driven stochastic optimization for energy conservation of manufacturing systems.”

“Optimized control for energy saving of industrial air-conditioning systems” presented at the 2nd international symposium on engineering and technology (TSCT 2020).