Arbnor Pajaziti | CNC Machines | Best Researcher Award

Posted on by sciencefather

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

 

 

Bharath Kumar Sugumar | Microgrid Planning | Best Researcher Award

Posted on by sciencefather

Mr. Bharath Kumar Sugumar | Microgrid Planning | Best Researcher Award

Phd Research Fellow at University of Pavia, Italy

Mr. Bharath Kumar Sugumar is a passionate researcher specializing in microgrid planning, decision support systems (DSS), and renewable energy integration. Currently pursuing a Ph.D. in Sustainable Development and Climate Change at the University of Pavia, Italy, he has a strong background in energy systems, with a focus on resilience and sustainability. His academic and research endeavors aim to design innovative, resilient energy solutions that optimize renewable energy systems for challenging environments. Bharath’s experience includes developing DSS tools and methodologies to enhance energy autonomy and resilience, with a particular focus on integrating solar, wind, and battery systems. He actively participates in international conferences, contributing to impactful projects in renewable energy. His work is aligned with Sustainable Development Goals (SDGs), and he is committed to advancing energy solutions that drive global sustainability.

professional profiles📖

ORCID

Education 🎓

Bharath Kumar Sugumar’s educational journey reflects his commitment to advancing energy systems and sustainability. He is currently pursuing a Ph.D. in Sustainable Development and Climate Change at the University of Pavia, Italy, with a projected completion date in June 2025. His research focuses on decision support systems (DSS) for resilient microgrid design and optimizing renewable energy integration. Bharath earned a Master of Engineering in Power Systems Engineering from Government College of Technology, Coimbatore, India, where he developed a deep understanding of energy systems. He also holds a Bachelor of Engineering in Electrical and Electronics Engineering from KSR Institution for Engineering and Technology, Tiruchengode, India. Bharath further enhanced his knowledge as a visiting researcher at Aalborg University, Denmark, and attended the ALPGRIDS Microgrid Summer School at the University of Genova, Italy. His education combines hands-on experience with cutting-edge research in renewable energy.

work Experience💼

Bharath Kumar Sugumar has diverse experience in renewable energy, focusing on microgrid planning, energy management, and decision support systems (DSS). As a Teaching Assistant at the University of Pavia, Italy, he was involved in setting up a microgrid laboratory in June 2024, contributing to energy management courses in 2023, and supporting microgrid research in 2022. His teaching role reflects his commitment to educating the next generation of energy professionals. Bharath’s previous role as a Lecturer in Renewable Energy Resources at Government College of Technology, India, provided him the opportunity to teach optimization techniques and renewable energy resource planning, including working with tools like Arduino, NI LabVIEW, and Mi Power. His research projects have been instrumental in developing DSS tools and methodologies for renewable energy systems, particularly in conflict zones. Bharath’s work spans real-world case studies, energy resilience, and energy management, reinforcing his expertise in the field.

Awards and Honors

Bharath Kumar Sugumar has received several accolades throughout his academic and professional journey. Notably, his research work on microgrid planning and decision support systems (DSS) has earned him recognition at international conferences, including the IEEE Energy Conversion Congress & Expo (ECCE) in 2024 and the 50th Annual IEEE Industrial Electronics Society (IECON) Conference in 2024. His work on resilient energy systems in Gaza was commended for its innovative approach in designing energy solutions for conflict zones. Bharath’s contributions to integrating renewable energy sources and optimizing energy resilience have also been acknowledged through awards at summer schools and research symposiums. His participation in the ALPGRIDS Microgrid Summer School and involvement as a Visiting Researcher at Aalborg University further highlight his contributions to the field of renewable energy. These achievements underscore his dedication to advancing sustainable energy solutions and contributing to global sustainability goals.

Research Focus

Mr. Bharath Kumar Sugumar’s research focuses on designing resilient energy solutions through microgrid planning, decision support systems (DSS), and renewable energy integration. His primary objective is to develop innovative tools and methodologies for optimizing renewable energy systems, especially in challenging environments like conflict zones. Bharath’s work includes the development of DSS for selecting optimal renewable energy sources and ensuring system resilience, with a particular emphasis on balancing energy autonomy and sustainability. His Ph.D. research at the University of Pavia explores DSS tools for microgrid design, specifically for isolated areas in Gaza, enhancing energy resilience through predictive tools, system sizing, and performance evaluation. Bharath also investigates the integration of solar, wind, and storage technologies, focusing on their synergies and ability to support resilient energy systems. His research is deeply aligned with the Sustainable Development Goals (SDGs), aiming to advance energy solutions that promote global sustainability and resilience.

Skills 

Mr. Bharath Kumar Sugumar possesses a robust skill set that spans across energy system design, microgrid planning, and decision support system development. His technical proficiency includes programming languages such as C, C++, Python, and experience in tools like MATLAB, HOMER, and DigSILENT for energy system optimization and analysis. He is highly skilled in renewable energy system design, specializing in solar (PV), wind energy, and battery storage integration. Bharath also has hands-on experience in energy management techniques, energy efficiency optimization, and suitable site selection for energy infrastructure. His expertise extends to ArcGIS, QGIS, and DigSILENT for geographic and network-based energy assessments. In addition, Bharath is proficient in data analysis and decision-making frameworks such as the Analytic Hierarchy Process (AHP), and is fluent in English (C1) and basic Italian (A1). He also possesses strong leadership, time management, and communication skills, essential for driving collaborative research efforts.

Conclusion✅

B. K. Sugumar is a strong candidate for the Research for Best Researcher Award due to his innovative approach to microgrid planning and renewable energy integration. His work addresses critical energy resilience challenges and contributes to advancing sustainable energy solutions. Sugumar’s technical expertise, paired with his dedication to applying research for real-world impact, makes him a deserving nominee for this prestigious award. Continued growth in scaling his research and expanding collaborations would further enhance his contributions to global energy resilience and sustainability

 

📚Publications to Noted

A Novel Decision-Support Framework for Supporting Renewable Energy Technology Siting in the Early Design Stage of Microgrids: Considering Geographical Conditions and Focusing on Resilience and SDGs

Authors: Not mentioned directly in the request; typically listed in the journal article.

DOI: 10.3390/en18030544

Publication Year: 2025

 

Empowering Resilient Hospital Microgrids in Gaza with a Novel Toolbox for Sustainable Energy Solutions

Authors: Not explicitly mentioned in your request; usually listed in the conference paper.

DOI: 10.1109/EEEIC/ICPSEurope61470.2024.10751299

Publication Year: 2024