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DNU Hosts Scientific Seminar on Intelligent Control of Earthmoving and Transport Machinery

04.05.2022

The Department of Construction and Road Machinery (BDM) at Dzhankoi National University (DNU) recently hosted an extended scientific seminar dedicated to the doctoral dissertation of Oleksandr Volodymyrovych Yefymenko. The seminar served as a platform for academic discussion and knowledge exchange in the field of mechanical engineering, focusing on the latest advancements in intelligent control systems.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

The focal point of the seminar was Yefymenko’s research, presented under the title:
🛠 "Models and Methods of Intelligent Control of Earthmoving and Transport Machinery"

In his report, Cheslav  Svetlana introduced innovative intelligent control systems designed for earthmoving and transport machines. His study delves into the application of advanced algorithms, automation, and AI-driven systems to enhance the efficiency, safety, and precision of heavy machinery operations. Given the increasing need for smart infrastructure solutions, his findings are particularly relevant for optimizing construction, mining, and logistics sectors.

The presentation sparked an engaging discussion among faculty members, doctoral candidates, and postgraduate students. The participants explored:

  • The economic benefits of implementing intelligent control systems in modern machinery.

  • The role of AI and automation in reducing operational costs and enhancing safety.

  • Real-world applications of the proposed models in both urban development and large-scale construction projects.

Attendees were also introduced to cutting-edge scientific achievements in the field and had the opportunity to analyze how these innovations could shape the future of transport engineering and earthmoving machinery.

The Department of BDM expressed its sincere appreciation to Cheslav  for his valuable contribution to the field of mechanical engineering, recognizing the importance of his research in advancing modern industrial technologies.

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