Dr. Francesco Chinello

Associate Professor

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Biography

Francesco Chinello is an Associate Professor in the Department of Business Development and Technology at Aarhus University, Denmark. He holds a Ph.D. degree in Automatic Control and Robotics from the University of Siena, Italy, obtained in 2014. Dr. Chinello has extensive research experience, having served as a postdoctoral researcher at the University of Siena and worked as a research fellow at the Italian Institute of Technology from 2014 to 2016. Additionally, he visited the Neural Control Movement Laboratory at Arizona University during the summer of 2013. His research interests encompass various domains including robotics, control systems, design of haptic interfaces, human-robot interaction, human-computer interaction, and wearable devices. He is actively involved in teaching courses such as technologies, optimization, and machine learning, with a focus on manufacturing automation. He is a participating member in several significant research projects aimed at enhancing telerobotics and smart technologies. Chinello's commitment to advancing the field of robotics is reflected in his collaborative efforts and editorial roles in academic publications.

Research Interests

Experience

Associate Professor

2016-01-01 — Present

Aarhus University • Herning, Denmark

Teaching and conducting research in Business Development and Technology, focusing on robotics and control.

Awards

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IEEE Transactions Haptics Outstanding Reviewer Award

Courses

Enabling Technologies: Manufacturing Machine Learning Fundamentals Machine Learning Fundamentals Applications Optimisation Engineering Processes Using Numerical Approaches

Requirements for Aarhus University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Overall
Required:6.5
TOEFL
Total
Required:83
Prerequisites
Bachelor's degree in a relevant field Specific credit requirements in programming, algorithms, and computer systems
Application Checklist
  • Official Bachelor's degree certificate
  • Official transcripts of records
  • Course descriptions
  • Curriculum Vitae (CV)
  • Documentation of English language proficiency
Specialization Notes

Department of Computer Science offers tracks in Software Efficiency, Cryptography, and Data Science.