Kanstantsin Miatliuk | Mechanical Engineering | Best Researcher Award

Prof. Kanstantsin Miatliuk | Mechanical Engineering | Best Researcher Award

Bialystok University of Technology | Poland

Prof. Kanstantsin Miatliuk is a leading researcher in robotics, mechatronics, and systems science, recognized for advancing hierarchical systems theory, mechatronic design methodologies, robotic motion control, intelligent grasping, and neural-network-based modelling. His work spans conceptual modelling of mechatronic and biomechatronic systems, biologically inspired robotics, task-optimized manipulator design, dynamic grasp simulation, UAV photogrammetry, and brain–computer interfaces for mobile robots, as well as cutting-edge robotic work-cell design using virtual simulation tools. With 302 citations, 47 publications, and an h-index of 9, he has made significant contributions across high-impact journals and international conferences, supported by extensive global collaborations, editorial leadership, and involvement in major research initiatives that continue to shape the future of intelligent robotic systems.

Profile: Scopus | Orcid | Google Scholar

Featured Publications

  • Design of a Robotic Work Cell Using Hierarchical Systems Approach and Visual Components Software
    Author, A. A., Author, B. B., Author, C. C., Author, D. D., & Author, E. E. (2025). Design of a robotic work cell using hierarchical systems approach and Visual Components software. Applied Sciences, 15(9), Article 4744.

  • Neural Network Modelling of Kinematic and Dynamic Features for Signature Verification
    Author, A. A., Author, B. B., Author, C. C., Author, D. D., & Author, E. E. (2025). Neural network modelling of kinematic and dynamic features for signature verification. Pattern Recognition Letters, 187, 130–136.

  • Mechatronic Design and Control of a Robot System for Grinding
    Author, A. A., Author, B. B., Author, C. C., & Author, D. D. (Year unavailable). Mechatronic design and control of a robot system for grinding [Conference paper].

  • Task-Oriented Trajectory Optimization for Planar 3R Robot
    Author, A. A., Author, B. B., Author, C. C., Author, D. D., & Author, E. E. (Year unavailable). Task-oriented trajectory optimization for planar 3R robot

Arash Mohammadi | Mechanical engineering | Best Researcher Award

Assoc. Prof. Dr. Arash Mohammadi | Mechanical engineering | Best Researcher Award

Assoc. Prof. Dr. Arash Mohammadi, Rajaee teacher training university, Iran

Assoc. Prof. Dr. Arash Mohammadi is a mechanical engineering expert specializing in fluid mechanics and clean energy systems. He earned his Ph.D. from KNT University of Technology (2012) with a focus on emission control in diesel engines using porous media. With over 15 years of experience at Iran Khodro Powertrain Company (IPCO), he leads projects on Fuel Cell Electric Vehicles (FCEVs) πŸš—βš‘. His research interests include hydrogen combustion, battery cooling, and boiling flow heat transfer 🌑️. As a faculty member since 2014 and a reviewer for leading journals πŸ“š, he combines academic insight with industrial innovation.

Publication Profile

Scopus

Google Scholar

πŸŽ“ Education & Qualifications

Assoc. Prof. Dr. Arash Mohammadi holds a distinguished academic background in Mechanical Engineering with a specialization in Fluid Mechanics πŸ› οΈπŸ’¨. He earned his Ph.D. from KNT University of Technology, Tehran, in September 2012 with an impressive GPA of 18.75/20 πŸŽ“. His research focused on emission control in compression ignition engines. He completed his Master’s degree at Shiraz University in 2007, achieving a GPA of 16.0/20 πŸ“˜. His academic journey began at Kerman University, where he earned his Bachelor’s degree in 2004 with a GPA of 16.2/20 πŸ“—. His consistent academic excellence reflects his dedication to advancing engineering science.

πŸ’Ό Skills & Work Experience

Dr. Arash Mohammadi has over 15 years of industrial experience at Iran Khodro Powertrain Company (IPCO), where he has served in the CAE and combustion department since July 2008 🏭. Since 2021, he has led as Project Manager for Fuel Cell Electric Vehicle (FCEV) development πŸš—βš‘. His core expertise lies in Computational Fluid Dynamics (CFD) simulations, particularly for direct injection engines πŸ’»πŸŒ¬οΈ. He has successfully executed advanced simulations on bi-fuel SI-engines, heat transfer and boiling in water jackets, and intake-exhaust systems and catalysts for both SI and diesel engines πŸ”πŸ”₯, contributing significantly to automotive innovation.

πŸ“š Teaching Background

Assoc. Prof. Dr. Arash Mohammadi has a strong academic presence as a faculty member in Mechanical Engineering since 2014 at a recognized institution 🏫. Prior to this, he served as a lecturer at Azad University of Damavand from 2008 to 2014, where he played a vital role in educating and mentoring engineering students πŸ‘¨β€πŸ«πŸ“˜. His teaching emphasizes core areas such as fluid mechanics, thermodynamics, and energy systems, aligning with his industrial expertise. Through his dual role in academia and industry, he bridges theoretical knowledge with practical applications, inspiring the next generation of mechanical engineers

πŸ”¬ Research Interests

Assoc. Prof. Dr. Arash Mohammadi’s research is deeply rooted in advancing sustainable energy and thermal systems πŸŒ±βš™οΈ. His primary interests include Fuel Cell Electric Vehicles (FCEVs) and lithium-ion battery technologies πŸ”‹πŸš—. He also explores boiling flow heat transfer and electric motor cooling, crucial for improving energy efficiency in modern powertrains πŸŒ‘οΈπŸ’¨. His work in hydrogen combustion and fuel cell cooling addresses the challenges of next-generation clean propulsion systems πŸ”₯πŸ’§. Additionally, he investigates the safety and performance of high-pressure hydrogen storage tanks, contributing to hydrogen-based energy solutions πŸ§ͺπŸ›’οΈ. His research supports the global transition to clean and efficient mobility.

Publication Top Notes

πŸ“˜ Analysis of local convective heat transfer in a spark ignition engine – 50 citations πŸ”’ | πŸ“… 2008
πŸ“— Estimation of instantaneous local heat transfer coefficient in spark-ignition engines – 35 citations πŸ”’ | πŸ“… 2010
πŸ“™ Cracking failure analysis of an engine exhaust manifold at high temperatures – 31 citations πŸ”§πŸ”₯ | πŸ“… 2019
πŸ”‹ Investigating the effects of tabs geometry and current collectors thickness of lithium-ion battery – 15 citations ⚑ | πŸ“… 2021
πŸ”₯ Thermodynamic simulation of porous-medium combustion chamber under diesel engine-like conditions – 13 citations πŸš› | πŸ“… 2019
πŸ”¬ Simulation of combustion in a porous-medium diesel engine – 12 citations πŸ§ͺ | πŸ“… 2018
🌑️ Two phase flow simulation for subcooled nucleate boiling heat transfer in water jacket – 12 citations πŸ’§ | πŸ“… 2011
πŸ’» Simulation of heat transfer considering boiling phenomenon in cooling passage of turbo-charged engine – 9 citations ❄️ | πŸ“… 2022
πŸ› οΈ Numerical simulation of direct injection engine with using porous medium – 9 citations πŸš— | πŸ“… 2012
βš™οΈ Numerical simulation of combustion with porous medium in IC engine – 9 citations πŸ”₯ | πŸ“… 2012
πŸ“˜ Numerical simulation of spark ignition engines (book chapter) – 9 citations πŸ“˜ | πŸ“… 2010
🚘 Effect analysis on boiling heat transfer performance at shutdown time – 8 citations 🌑️ | πŸ“… 2018
πŸ§ͺ Numerical simulation of porous medium internal combustion engine – 8 citations πŸ”„ | πŸ“… 2011
β›½ Liquid fuel distribution in combustion chamber via jet impingement – 7 citations πŸ’₯ | πŸ“… 2021