Mariusz Sobolak | Computer aided machine design | Best Researcher Award

Published on 18/07/202519/07/2025 by Global CAD Awards

Mr. Mariusz Sobolak | Computer aided machine design | Best Researcher Award

Associate Professor at Rzeszów University of Technology, Poland

Mariusz Sobolak, DSc (Eng.), is an Associate Professor at the Faculty of Mechanical Engineering and Aeronautics, Rzeszów University of Technology, Poland. An experienced scientist with a habilitation in mechanical engineering, his work focuses on CAD systems, advanced 3D geometry modeling, and polymer gear transmissions. He has over two decades of academic teaching and research supervision experience and currently serves as Head of the Doctoral School at his university.

Professional Profile

Orcid

Google Scholar

Education & Experience

DSc (Eng.) in Mechanical Engineering (2008)
Habilitation Thesis: Analysis and synthesis of the cooperation of gear wheel surfaces using discrete methods — Rzeszów University of Technology
PhD (Eng.) in Mechanical Engineering (1997) — Rzeszów University of Technology
MSc (Eng.) in Mechanics and Machine Building (1992) — Rzeszów University of Technology

Professional Development

Associate Professor at Rzeszów University of Technology (2008 – Present)
- Lectures and supervises courses in Geometric and Structural Modeling, Advanced CAD Modeling, and Machine Design Modeling.
- Supervises B.Sc., M.Sc., and doctoral theses.
- Leads the Doctoral School at the university.

Research Focus

CAD Systems (CATIA, AutoCAD)
Gear Transmissions
Polymer Gear Transmissions

Awards and Honors

Multiple Rector’s Awards for scientific and organizational achievements from Rzeszów University of Technology.

Publication Top Notes

1️⃣ Experimental method of tooth contact analysis (TCA) with rapid prototyping (RP) use
M. Sobolak, G. Budzik
Rapid Prototyping Journal 14 (4), 197-201, 2008 — 39 citations

2️⃣ Analiza i synteza współpracy powierzchni kół zębatych metodami dyskretnymi
M. Sobolak
Oficyna Wydawnicza Politechniki Rzeszowskiej, 2006 — 39 citations

3️⃣ Generating stereolitographic (STL) files from CAD systems
G. Budzik, M. Sobolak
Acta Mechanica Slovaca B 2, 73-78, 2006 — 29 citations

4️⃣ Hybrid foundry patterns of bevel gears
G. Budzik, T. Markowski, M. Sobolak
Archives of Foundry Engineering 7 (1), 131-134, 2007 — 28 citations

5️⃣ Prototyping of bevel gears of aircraft power transmission
G. Budzik, T. Markowski, M. Sobolak
Journal of KONES 14, 61-66, 2007 — 24 citations

6️⃣ Modelowanie ślimaka globoidalnego w środowisku CAD
P. Połowniak, M. Sobolak
Mechanik 1, 71-74, 2015 — 16 citations

7️⃣ Mathematical model of the worm wheel tooth flank of a double-enveloping worm gear
P. Polowniak, M. Sobolak, A. Marciniec
Alexandria Engineering Journal 60 (3), 3037-3046, 2021 — 15 citations

8️⃣ Graphical method for the analysis of planetary gear trains
A. Marciniec, M. Sobolak, P. Połowniak
Alexandria Engineering Journal 61 (5), 4067-4079, 2022 — 13 citations

9️⃣ Wykorzystanie technologii Rapid Prototyping w odlewnictwie precyzyjnym
G. Budzik, M. Sobolak, D. Kozdęba
Archiwum odlewnictwa 6, 2006 — 13 citations

🔟 Prototypowanie kół zębatych z wykorzystaniem stereolitografii i odlewania próżniowego
M. Sobolak, G. Budzik
Zeszyty Naukowe Politechniki Rzeszowskiej. Mechanika, 2004 — 13 citations

Conclusion

Professor Sobolak’s career demonstrates a strong commitment to advancing mechanical engineering through high-level research in CAD modeling and gear design, impactful teaching, and academic leadership. His blend of technical expertise, project management, and student mentorship makes him a significant contributor to his institution and field.

Yichao Wang | Engineering | Best Researcher Award

Published on 22/05/202522/05/2025 by Global CAD Awards

Assoc. Prof. Dr Yichao Wang | Engineering | Best Researcher Award

Associate Professor, Shenyang City University, China

Dr. Yichao Wang is an accomplished researcher whose work bridges the gap between theoretical innovation and practical engineering application. His contributions to CAD and civil infrastructure — through integration of BIM/CIM, AI, and blockchain — have directly advanced smart city initiatives and underground safety. The breadth of awards, project leadership, and publication in indexed journals positions him as a top contender for the Best Researcher Award.

Profile

Orcid
Google scholar

🎓 Education

Yichao Wang holds a master’s degree in Disaster Prevention and Mitigation Engineering from Xi’an University of Science and Technology. He is currently pursuing his Ph.D., further deepening his expertise in civil and structural engineering, particularly in the domain of intelligent construction and digital infrastructure systems. His academic background provides a solid foundation in engineering principles, risk mitigation, and smart urban infrastructure design.

👩‍🏫 Teaching Experience

Wang has a strong blend of academic and industrial experience. He currently serves as an Associate Professor at Shenyang City University, where he teaches and leads research in BIM (Building Information Modeling) and CIM (City Information Modeling) technologies. Previously, he worked as a BIM designer at China Municipal Engineering Northwest Design & Research Institute, where he managed several high-profile infrastructure projects, including the Xi’an Underground Utility Tunnel. He has also contributed to the development of enterprise BIM systems and participated in drafting three provincial and industry BIM standards.

🛰️ Research Focus

Wang’s research centers on the digital transformation of civil engineering, with a particular focus on urban underground spaces and municipal infrastructure. His ongoing studies integrate BIM, GIS, IoT, and machine learning to enhance risk prediction, asset management, and operational efficiency. A key area of his work involves the development of intelligent operation and maintenance strategies using AI and blockchain, contributing to safer and more cost-effective infrastructure systems. His research supports the scalability of smart city solutions through the integration of digital twin technologies.

🛠️ Skills

Yichao Wang’s core competencies include advanced proficiency in BIM/CIM modeling, GIS integration, IoT application in civil engineering, and intelligent construction systems. He has expertise in developing machine learning algorithms for structural risk assessment, blockchain-based data traceability frameworks, and AI-assisted maintenance systems. His technical toolkit covers digital twin development, smart infrastructure planning, and urban safety analytics, enabling him to lead both research and applied innovation in civil engineering projects.

🏆 Awards and Honors

Yichao Wang has been recognized with over 20 national and international awards for his innovative contributions to civil engineering. These include the prestigious Global Infrastructure “Glory Award” and multiple top honors in China’s “Municipal Cup” BIM competitions. His research and applied work have consistently earned accolades for advancing BIM applications, operational risk management, and digital infrastructure systems. His award-winning projects have significantly influenced provincial standards and smart city policy frameworks.

📚Publication

Title: Suitability Evaluation of Underground Space Development by Considering Socio-Economic Factors—An Empirical Study from Longgang Region of China
Author(s): Wang, Y., Li, X., & Zhang, Y.
Year: 2025
Title: A Novel Approach for Risk Assessment of Building Damage via Metro Tunnel Construction
Author(s): Wang, H., Liu, Y., Jiang, Y., & Wang, Z.
Year: 2022
Title: Research on Risk and Resilience Evaluation of Urban Underground Public Space
Author(s): Li, X., Li, L., Lin, M., & Jim, C.Y.
Year: 2022
Title: Evacuation Simulation and Fire-Risk Assessment on Underground Space of Guangzhou International Financial City
Author(s): Li, P., Bao, X., Hong, C., Wang, D., Xie, X., Fan, J., Li, H., & Liao, L.
Year: 2024

🏁conclusion:

Dr. Wang embodies the values of impactful, forward-thinking research in the field of CAD for civil and mechanical engineering. Continued engagement with the global academic community and expansion into editorial and authorship roles would further enhance his academic influence.

Mr . Francisco José Martínez Peral | Computer aided machine design | Best Researcher Award

Published on 22/07/2024 by Global CAD Awards

Mr . Francisco José Martínez Peral | Computer aided machine design | Best Researcher Award

Mr . Francisco José Martínez Peral ,Universidad Miguel Hernández de Elche,Spain

Mr. Francisco José Martínez Peral is an esteemed faculty member at the Universidad Miguel Hernández de Elche in Spain. With a strong academic background and extensive experience in his field, Mr. Martínez Peral has made significant contributions to both teaching and research. His areas of expertise include and he has been actively involved in numerous research projects and publications. Mr. Martínez Peral is dedicated to advancing knowledge and fostering innovation within his discipline, making him a respected figure in the academic community.

Professional Profiles:

Scopus

Education :

Bachelor’s Degree in Industrial Electronic and Automatic Engineering
Universidad Miguel Hernández de Elche,September 24, 2021,Average Grade: 7.41,Honors in Technical Drawing, Electronic Systems Design, and State Space Control,Master’s Degree in Robotics,Universidad Miguel Hernández de Elche,July 15, 2022,Average Grade: 9.00,Perfect Grades (10) in Bachelor’s and Master’s Theses

Experience:

,Average Grade: 7.41,Honors in Technical Drawing, Electronic Systems Design, and State Space Control,Bachelor’s Degree in Industrial Electronic and Automatic Engineering,Universidad Miguel Hernández de Elche,September 24, 2021,Master’s Degree in Robotics,Universidad Miguel,Hernández de Elche,July 15, 2022,Average Grade: 9.00,Perfect Grades (10) in Bachelor’s and Master’s Theses

Skills:

Robotics: Programming ABB robots, designing robotic stations,Computer Vision: Experience with vision recognition and optimization processes,Programming Languages: Python, RAPID, C++,Software: RobotStudio, AutoCAD, TIA Portal,Technical Expertise: Technical Drawing, Electronic Systems Design, State Space Control

Awards:

- Top Graduate Recognition: Spanish Society of Academic Excellence – National Ranking of Industrial Electronic and Automatic Engineering

Research Focus:

Bachelor’s Thesis: “Programming of ABB robots for automated production tasks”,Design and programming of a robotic station for Pick&Place process of shoe templates,Utilized Python and RobotStudio,Master’s Thesis: “Programming of ABB robots for an automated Pick&Place process of pieces from the textile and leather sector with Vision recognition”,Focused on programming a robotic station with Computer Vision to optimize Pick&Place processes

Publications :

Manipulation Order Optimization in Industrial Pick-and-Place Operations: Application to Textile and Leather Industry

Authors: F.J. Martínez-Peral, H. Migallón, J. Borrell-Méndez, M. Martínez-Rach, C. Pérez-Vidal

Development of a Tool to Manipulate Flexible Pieces in the Industry: Hardware and Software

Authors: F.J. Martínez-Peral, J. Borrell Méndez, J.V. Segura Heras, C. Perez-Vidal

Multi-Arm Trajectory Planning for Optimal Collision-Free Pick-and-Place Operations

Authors: D. Mateu-Gomez, F.J. Martínez-Peral, C. Pérez-Vidal