Sina Soltani | Intelligent control systems | Best Researcher Award

Mr. Sina Soltani | Intelligent control systems | Best Researcher Award

Research Scholar, Honeywell UOP ,United States.

πŸ”¬ Short BiographyΒ πŸŒΏπŸ’ŠπŸ“š

πŸŽ“ Sina Soltani is a skilled Instrumentation & Automation Control Engineer πŸŽ›οΈ with extensive experience across the steel πŸ—οΈ, petroleum πŸ›’οΈ, and industrial automation sectors. He currently works at Honeywell UOP 🌍, designing and validating advanced instrumentation systems. With a Master’s in Electrical Engineering from Shiraz University ⚑, he specializes in control systems, PLC/DCS integration πŸ€–, and safety compliance πŸ”. Previously, he contributed to engineering solutions at Neyriz Ghadir Steel Complex and Piramoon Pardazesh Qeshm, focusing on gamma measurement and radioactive instruments. His technical strengths include calibration, signal processing, fire alarm systems πŸ”₯, and network implementation (Profibus, Modbus, Ethernet) 🌐. As a former university lecturer πŸ“š, Sina has taught control systems, electronics, and engineering mathematics. He holds multiple certifications, including ISO 9001 and ATEX compliance. Passionate about precision and safety, Sina is a dedicated engineer πŸ› οΈ shaping the future of smart industrial systems.

Profile

ORCID PROFILE

GOOGLE SCHOLAR PROFILE

πŸŽ“ Education

🏁conclusion:

Sina Soltani stands out as a 🌟 dynamic and innovative researcher whose work bridges the gap between academic theory πŸ“š and industrial application 🏭. His extensive contributions in automation πŸ€–, fuzzy logic 🀯, Kalman filtering πŸ“‰, and advanced instrumentation Β reflect a deep commitment to solving real-world engineering challenges πŸ”§. With a strong portfolio of peer-reviewed publications πŸ“‘, industry certifications , and ongoing work at Honeywell UOP 🏒, he exemplifies the qualities of a forward-thinking researcher πŸš€ who drives impact across sectors 🌍. His ability to integrate complex control strategies 🧠 into harsh industrial environments βš™οΈ highlights his technical depth and problem-solving skills πŸ’‘. Furthermore, his experience as an educatorΒ  enhances his influence in shaping future engineers πŸ‘©β€πŸ’». While international collaborationsΒ  and patent outputs 🧾 could further elevate his profile, Sina’s consistent research trajectory πŸ“ˆ and innovative mindsetΒ  make him an exceptional candidate for the Best Researcher Award πŸ†. His work not only advances engineering practices πŸ› οΈ but also aligns with global trends in smart manufacturingΒ  and intelligent industrial systems πŸ”ŒπŸ€–.

Qi Liu| Machining and control| Best Researcher Award

Dr . Qi Liu| Machining and control| Best Researcher Award

Dr.Qi Liu ,Wuhan university of technology,China

Dr. Qi Liu is a distinguished professor at the Wuhan University of Technology in China. His research focuses on advanced materials, particularly in the fields of nanotechnology and materials science. Dr. Liu has made significant contributions to the development of innovative materials with applications in various high-tech industries. He has published extensively in top-tier scientific journals and has been recognized with numerous awards for his groundbreaking work. Dr. Liu is also actively involved in collaborative projects and international conferences, furthering the global impact of his research.

 

Professional Profiles:

Orcid

Education :

Doctoral Joint Training
Engineering College, Hokkaido University, Sapporo, Japan
10/2022 – 10/2023,Ph.D. in Engineering
School of Mechanical & Electronic Engineering, Wuhan University of Technology, Wuhan, China,09/2019 – 10/2023,Master of Engineering,School of Mechanical & Electronic Engineering, Wuhan University of Technology, Wuhan, China,09/2017 – 06/2019

Experience:

  • Lecturer
    Wuhan University of Technology

Honord And Awards:

  • Excellent Scholarship for Doctor
    Wuhan University of Technology
    2019, 2020, 2021

Patents:

  • A dual motor synchronous control method and equipment based on time-varying friction compensation. Patent number: ZL202110014478.X.
  • CNC machine tool positioning error prediction and compensation method, system, and storage medium. Patent number: ZL202010398295.8.
  • Positioning error compensation software of NC machine tool based on BECKHOFF motion controller V1.0. Authorized Number: 2021SR0125789.
  • Control system software of precision double drive grinding wheel machine V1.0. Authorized Number: 2018SR571925.

Publications :

    • Liu, Q., Lu, H., Yonezawa, H., Yonezawa, A., Kajiwara, I., Wang, B. (2023). Grey wolf optimization algorithm-based tuned P-PI cascade controller for dual ball screw feed drive systems. Mathematics.
    • Liu, Q., Lu, H., Zhang, X., Qiao, Y., Yu, J., Dou, H., Zhang, Y. (2022). A method to improve position accuracy for dual-drive feed machines by state-dependent friction compensation. PART B-Journal of Engineering Manufacture.
    • Lu, H., Liu, Q., Zhang, X., Qiao, Y., Yu, J., Dou, H., Zhang, Y. (2021). Dynamic characteristics and research on the dual-drive feed mechanism. PART C-Journal of Mechanical Engineering Science.
    • Liu, Q., Lu, H., Zhang, X., Qiao, Y. (2021). Research on positioning error compensation of gantry mobile dual-drive feed system. Huazhong University of Science and Technology (Natural Science Edition).
    • Liu, Q., Lu, H., Zhang, X., Qiao, Y., Cheng, Q., Zhang, Y., Wang, Y. (2020). A non-delay error compensation method for dual-driving gantry-type machine tool. Processes, 8(7), 748.
    • Lu, H., Cheng, Q., Zhang, X., Liu, Q., Qiao, Y., Zhang, Y. (2020). A novel geometric error compensation method for gantry-moving CNC machine regarding dominant errors. Processes, 8(8), 906.
  • Conference Papers
    • Dou, H., Lu, H., Wang, S., Liu, Q. (2021). Research on synchronous control of gantry-type dual-driving feed system based on fuzzy single neuron PID cross-coupled controller. 2021 IEEE 5th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC).