Award-Winning Efficiency Solutions Archives

Dr. Krešimir Kušić, Motorway traffic, Best Researcher Award

Ph.D at the University of Zagreb, Croatia

Dr. Krešimir Kušić, a Croatian expert in intelligent transport systems, holds a Ph.D. in Technical Sciences from the University of Zagreb. With a rich academic journey, including a Swiss Government Excellence Scholarship, he specializes in traffic flow optimization and microsimulation modeling. As a postdoctoral researcher at the Faculty of Transport and Traffic Sciences, he leads innovative projects such as DLASIUT and SSA@EDAL, advancing learning-based systems for urban traffic control. His impactful work spans international collaborations, numerous publications, and honors, showcasing his commitment to advancing intelligent mobility and his expertise in machine learning and control systems.

Education:

PhD, Technical Sciences University of Zagreb, Faculty of Transport and Traffic Sciences Duration: 2017 – 2023 Location: Zagreb, Croatia.

Work Experience

Postdoctoral Researcher Faculty of Transport and Traffic Sciences, University of Zagreb Duration: 16/10/2023 – Current City: Zagreb, Country: Croatia Department of Intelligent Transport Systems.

Research Focus

Dr. Krešimir Kušić, an accomplished researcher, focuses on advancing transportation through his expertise in Intelligent Transport Systems (ITS). With a Ph.D. in Technical Sciences, he specializes in real-time simulation and the development of digital twins for motorway dynamics. His research spans various areas, including reinforcement learning for variable speed limit control, multi-agent systems, and the impact of deep reinforcement learning on connected vehicle environments. Dr. Kušić’s work, cited extensively, reflects his commitment to enhancing traffic flow optimization, particularly in urban motorways. His comprehensive contributions showcase a dedication to innovative approaches and methodologies, positioning him as a prominent figure in the field of ITS research.

Dr. Yuanju Qu: Industrial engineering

Associate Researcher at Shenzhen University, china

Dr. Yuanju Qu is an accomplished researcher and Associate at Shenzhen University, specializing in Smart Manufacturing and Operations Research. With a Ph.D. in Mechanical Engineering from Shanghai Jiaotong University, he has a rich academic background. His diverse roles include serving as a Quality Engineer at IES Hengfeng Technology. Yuanju’s work spans publications in esteemed journals, multiple patents, and active involvement in cutting-edge projects, emphasizing his expertise in areas like dynamic production scheduling and IoT-based intelligent systems. His commitment to advancing Smart Manufacturing is evident in his ongoing research and contributions to the field.

Professional Profiles:

Scopus Profile

Orcid Profile

GoogleScholar profile

ResearchGate profile

Work Experience:

Current: Associate Researcher at Shenzhen University since Dec. 2020. Quality Engineer at IES Hengfeng Technology (Dongguan) Limited, Sep 2007 – Sep 2013.

Educational Background:

Ph.D. in Mechanical Engineering (Industrial Engineering), Shanghai Jiaotong University, China (QS: 43), Sep 2014 – Sep 2020. Master in Mechanical Manufacturing and Automation, Shenyang Ligong University, China, Sep 2009 – Jun 2013. Bachelor in Mechanical Manufacturing and Automation, Henan University of Science and Technology, China, Sep 2005 – Jul 2007. Mechatronics, Kaifeng University, China, Sep 2002 – Jul 2005.

Professional Experience:

Engaged in various research projects focusing on product quality prediction, quality traceability, and design of smart manufacturing systems. Holds expertise in areas such as process optimization, system requirements analysis, and enterprise information systems in smart manufacturing.

Patents:

Holder of multiple patents, including inventions related to dynamic production scheduling, root canal monitoring, IoT intelligent toilets, and software copyrights for air compressor quality prediction.

Research Interests:

Smart Manufacturing, Operations Research, Optimization, Prognostics and Health Management

Research Focus:

Yuanju Qu’s research focuses on advancing Smart Manufacturing and Operations Research. His work, including “Self-decision Mechanisms of Smart Production Systems” and “Multistakeholder’s Sustainable Requirement Analysis for Smart Manufacturing Systems,” highlights his commitment to innovation. With a keen interest in emerging technologies, his contributions to “Smart manufacturing systems: state of the art and future trends” demonstrate foresight into the industry’s trajectory. Additionally, his expertise extends to integrating fuzzy models and developing frameworks for online Prognostic and Health Management, showcasing a holistic approach to Industry 4.0. Yuanju Qu excels in creating efficient processes through Closed-loop Kaizen and discrete event simulation, contributing significantly to manufacturing excellence.