Adrian Pisla | Engineering | Best Researcher Award

Adrian Pisla | Engineering | Best Researcher Award

Prof Adrian Pisla, Technical University in Cluj-Napoca, Romania

Prof. Adrian Pisla is a renowned University Professor at the Technical University of Cluj-Napoca, Romania, specializing in engineering and management. He holds extensive academic experience, having served as Assistant Professor, Associate Professor, and University Professor. Additionally, he supervises PhD students and leads the Dynamic Systems Simulation Laboratory. He has received numerous accolades, including the “Traian Vuia” prize and gold medals for his innovations in robotics. His work includes research in parallel robotics, rehabilitation systems, and sustainability. Prof. Pisla has authored impactful publications and contributed to e-learning systems, with expertise in mechanical design and robotics. 🏅🤖🎓

Publication Profile

google scholar

Education

Prof. Adrian Pisla has an extensive background in higher education, training, and product development. His academic achievements include the completion of various courses and training programs across Europe and the USA, such as Einführung in die Hochschuldidaktik at Babeș-Bolyai University and specialized courses in product development using Siemens PLM. Prof. Pisla has participated in international programs on online education, environmental management, and automation systems, with notable roles in Clusters Management Mentoring. His Ph.D. in Computer-Aided Manufacturing, awarded by the Technical University in Cluj-Napoca, focused on thermal spraying technology. He has contributed significantly to interdisciplinary education and technology development. 🎓🌍💻🛠

Experience

Prof. Adrian Pisla’s career began in 1987 as an Engineer in Probation at IMMR Pascani, Romania. He transitioned to Design Engineer at IMMR “16 Februarie” in Cluj-Napoca in 1990, followed by a role as an Analyst-Programmer in the same company. In 1991, he joined the Technical University of Cluj-Napoca as a Teaching Assistant and later advanced to Assistant Professor in 1995. From 1998 to 2002, he served as an Associate Professor, and in 2002, he became a University Professor at the same institution. His academic journey highlights his dedication to education and engineering. 📚💡👨‍🏫

International Recognition

Prof. Pisla’s remarkable accomplishments have earned him international recognition. In 2023, he received the prestigious lifetime achievement award from the Romanian Academy, honoring his outstanding contributions to his field. His innovative work has also been acknowledged through multiple medals at renowned international innovation exhibitions. These accolades highlight his dedication to advancing knowledge and fostering groundbreaking research. With his influential impact on academia and innovation, Prof. Pisla continues to inspire the global scientific community. 🏅🌍🔬🏆🎓

Awards and Distinctions

He has received numerous prestigious accolades, including multiple gold and bronze medals at various international research and innovation events. These awards serve as a testament to the exceptional quality and impact of his work, highlighting his dedication and expertise in his field. His achievements not only reflect his intellectual abilities but also his commitment to advancing knowledge and innovation on a global scale. These recognitions are a clear affirmation of his ability to contribute groundbreaking solutions that make a significant difference. 🥇🏅🌍💡

Research Focus

Prof. Adrian Pisla’s research focuses on the design, development, and application of robotic systems, particularly in the fields of rehabilitation, surgery, and automation. His work spans parallel robotics for lower and upper limb rehabilitation, kinematics, and virtual reality simulators for medical applications. He also explores the risk-based assessment of robotic systems used in post-stroke rehabilitation and minimal invasive surgery. Additionally, he is involved in sustainable automation practices and digital agriculture. Prof. Pisla’s expertise includes engineering, robotics, and life cycle management of robotic technologies, contributing significantly to healthcare robotics and automation advancements. 🤖🦾💡💉🌱

Publication Top Notes

Systematic design of a parallel robotic system for lower limb rehabilitation

Agile, waterfall and iterative approach in information technology projects

Risk-based assessment engineering of a parallel robot used in post-stroke upper limb rehabilitation

Kinematics and design of a 5-DOF parallel robot used in minimally invasive surgery

Development of a virtual reality simulator for an intelligent robotic system used in ankle rehabilitation

Kinematical analysis and design of a new surgical parallel robot

Amirhossein Kazemisaboor | Engineering | Best Researcher Award

Mr Amirhossein Kazemisaboor | Engineering | Best Researcher Award 

Master of Science at  Université Laval Canada

John Doe, an Industrial Engineer, holds an MSc from Université Laval (2024) and a BSc from K. N. Toosi University of Technology (2017). Currently a Logistics Analyst at InnovLog in Montreal, QC 📦. His expertise includes optimizing logistics operations through data-driven insights and digital transformations. Previously, at Cirrelt and Mega Motor Company, John conducted impactful research and led process improvements 📊. He is skilled in Python, Power BI, and ERP/WMS/TMS integration, contributing to efficiency and innovation in supply chain management. John also instructs on optimization and data analysis at universities, enhancing educational initiatives 🎓.

profile

Education:

  • MSc in Industrial Engineering, Université Laval, QC, Canada, 2021 – Jan 2024
  • BSc in Industrial Engineering, K. N. Toosi University of Technology, 2013 – 2017

Professional Experience:

  • Logistics Analyst, InnovLog, Montreal, QC, Canada, Apr 2024 – Present
  • Research Assistant, Cirrelt, QC, Canada, 2021 – Feb 2024
  • Industrial Engineer, Mega Motor Company, 2017 – 2021
  • Process Analyst, Mega Motor Company, 2016 – 2017

Training and Workshops:

  • Machine Learning Masterclass, Udemy, 2019
  • Python Bootcamp in Python 3, Udemy, 2018
  • Optimization in Python using GurobiPy and Docplex, Optimyar, 2018
  • Power BI for data analysis and BI implementation, Faradars, 2016
  • AnyLogic Software and Simulation Modeling, Shabih Pardazan, 2014
  • Microsoft Project Training, Parseh, 2013
  • PMBOK (Project Management Body of Knowledge), Parseh, 2013
  • Earned Value Management, Parseh, 2013

Publication

A simulation-based optimisation framework for process plan generation in reconfigurable manufacturing systems (RMSs) in an uncertain environment by A Kazemisaboor et al., International Journal of Production Research 60 (7), 2067-2085 📊 (2022)

 

A production bounce-back approach in the Cloud manufacturing network: case study of COVID-19 pandemic by E Shahab et al., International Journal of Management Science and Engineering Management 18 (4), 1 (2023) 🌐

 

Solution approaches to reduce problems with unbalanced supply and demand in transportation and harvest planning by A Kazemisaboor et al., International Journal of Forest Engineering, 1–13 (2024) 🌲

 

A novel service composition model considering the role of resilience in cloud supply networks by E Shahab et al., 6th International Conference on Industrial and Systems Engineering (ICISE) (2020) 🛠️