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Prof. Dr. Arbnor Pajaziti | CNC Machines | Best Researcher Award

Professor at University of Prishtina, Albania

Prof. Dr. Arbnor Pajaziti is a renowned professor at the Faculty of Mechanical Engineering at the University of Prishtina. His academic journey began with a bachelor’s degree in 1984 from the Faculty of Engineering, followed by master’s studies in 1990 at the Faculty of Mechanical and Shipbuilding, University of Zagreb, Croatia. In 1998, he earned his Ph.D. from the University of Technology Vienna, Austria. With decades of experience in teaching and research, he has co-authored ten textbooks and contributed to over 90 scientific publications. His areas of expertise include robotics, control systems, and optimization in CNC machining. Prof. Pajaziti is an influential figure in the academic community, with active participation in international conferences and symposiums, significantly advancing the fields of industrial robotics and manufacturing systems.

professional profiles📖

ORCID

Education 🎓

Prof. Dr. Arbnor Pajaziti’s educational background reflects a deep commitment to mechanical engineering and technological innovation. He completed his undergraduate studies in 1984 at the Faculty of Engineering at the University of Prishtina. Following this, he pursued master’s studies in 1990 at the Faculty of Mechanical and Shipbuilding, University of Zagreb, Croatia. Prof. Pajaziti’s pursuit of knowledge led him to the University of Technology Vienna, Austria, where he earned his Ph.D. in 1998. His academic endeavors have provided him with an in-depth understanding of robotics, control systems, and CNC machining optimization. This solid educational foundation, along with his international exposure, has greatly influenced his research, teaching, and contributions to the field of mechanical engineering.

work Experience💼

Prof. Dr. Arbnor Pajaziti has a distinguished career in academia, spanning several decades. Since 1984, he has been teaching at the Faculty of Mechanical Engineering, University of Prishtina, where he has played a key role in shaping the next generation of engineers. Prof. Pajaziti has also contributed significantly to the academic literature, co-authoring ten textbooks and publishing more than 90 scientific papers. His work focuses on advanced robotics, control schemes, and optimization in manufacturing systems. He has participated in numerous international conferences, where he shared his research on industrial robots, mobile robots, legged robots, and CNC machining optimization. His extensive experience has made him an expert in the fields of neural network controllers, fuzzy logic controllers, and genetic algorithms.

 

Research Focus

Prof. Dr. Arbnor Pajaziti’s research focuses on the intersection of robotics, control systems, and CNC machining optimization. His work explores the application of neural network controllers, fuzzy logic controllers, and genetic algorithms in industrial robots, mobile robots, and legged robots. Prof. Pajaziti is particularly interested in optimizing toolpath planning in CNC machines to improve performance and reduce working time. His research also includes the development of innovative control schemes that enhance the precision and efficiency of robotic systems. By investigating cutting-edge technologies in manufacturing systems, he aims to improve time-efficient machining and the overall productivity of CNC machine tools, significantly advancing the automation and robotics fields.

 

Conclusion✅

Prof. Dr. Arbnor Pajaziti is undoubtedly a highly deserving candidate for the Research for Best Researcher Award. His impressive academic record, significant contributions to the field of robotics and automation, and commitment to education set him apart as a leading researcher. His potential for future growth, particularly through expanding his research horizons and engaging with broader societal issues, makes him an exemplary figure in the academic community. This award would be a fitting recognition of his outstanding achievements and ongoing contributions to the field of mechanical and robotics engineering.

 

📚Publications to Noted

Optimization of Toolpath Planning and CNC Machine Performance in Time-Efficient Machining

Authors: Arbnor Pajaziti

Year: 2025

DOI: 10.3390/machines13010065

Source: Multidisciplinary Digital Publishing Institute

Optimization of CNC Working Time Depending on the Positioning of the Tools in the Magazine

Authors: Arbnor Pajaziti

Year: 2024

DOI: 10.3390/machines12080512

Source: Multidisciplinary Digital Publishing Institute

Detection, Recognition, and Grasping of Objects through Artificial Intelligence Using a Robotic Hand

Authors: Arbnor Pajaziti

Year: 2022

DOI: 10.1016/J.IFACOL.2022.12.077

Source: Web of Science Researcher Profile Sync

Control Theory Application for Swing Up and Stabilisation of Rotating Inverted Pendulum

Authors: Arbnor Pajaziti

Year: 2021

DOI: 10.3390/sym13081491

Source: Symmetry

Analysis of the Stability, Control and Implementation of Real Parameters of the Robot Walking

Authors: Arbnor Pajaziti

Year: 2020

DOI: 10.1007/978-3-030-29513-4_68

Source: Advances in Intelligent Systems and Computing

Development of a vehicle for driving with Convolutional Neural Network

Authors: Arbnor Pajaziti

Year: 2019

EID: 2-s2.0-85072953205

Source: International Journal of Advanced Computer Science and Applications

Dynamic Walking Experiments for Humanoid Robot

Authors: Arbnor Pajaziti

Year: 2019

DOI: 10.1007/978-3-030-01054-6_60

Source: Advances in Intelligent Systems and Computing

Navigation of Self-Balancing Mobile Robot through Sensors

Authors: Arbnor Pajaziti

Year: 2019

DOI: 10.1016/J.IFACOL.2019.12.576

Source: IFAC-PapersOnLine

 

 

Arbnor Pajaziti | CNC Machines | Best Researcher Award

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