Mr. Sina Soltani, Honeywell, United States
Mr. Sina Soltani is an accomplished Instrumentation & Automation Control Engineer with over 10 years of experience in the steel, energy, and industrial sectors. He has worked at NGHSCO and Piramoon Pardazesh Qeshm, focusing on SIS systems, gas analyzers, PLCs, calibration, and system efficiency improvements. 📊 His academic background includes an MSc and BSc in Electrical Engineering from Shiraz University. 🎓 He has authored multiple IEEE and journal publications and taught university courses in control systems.
Publication Profile
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🎓 Educational Background
Mr. Sina Soltani holds a strong academic foundation in electrical engineering. He earned his Master of Science (M.Sc.) in Electrical Engineering from Shiraz University in 2013 🎓, following the completion of his Bachelor of Science (B.Sc.) in Electrical Engineering from Shiraz University of Technology in 2011 🛠️. His educational journey began with a High School Diploma from Naserian High School, which he completed in 2005 🏫. This progressive academic path has equipped him with deep theoretical knowledge and practical skills, laying the groundwork for his successful career in instrumentation, automation, and control engineering
💼 Career Journey
Mr. Sina Soltani is a seasoned Instrumentation & Control Engineer with over a decade of experience across multiple industries. Currently serving as a consultant at Piramoon Pardazesh Qeshm 🛠️, he specializes in control systems, technical documentation, and vendor negotiations. Previously, he worked at NGHSCO for nearly 7 years, where he optimized industrial systems and safety instrumentation, boosting efficiency by 10% 📈. As Chief Electrical Engineer at PetroAzma.co ⚡, he handled advanced sensors, motors, and signal processing. Additionally, he spent 10+ years teaching engineering courses at the University of Applied Science and Technology 📚, showcasing his strong academic and technical synergy.
📜 Licenses & Certifications
Mr. Sina Soltani holds a robust portfolio of professional certifications in instrumentation, automation, and safety systems. He is certified in ISO 9001:2015 and ISO 17025:2015 by Kavoush Engineering Group 🏷️. His expertise extends to industrial networks such as Profibus, Modbus, and Ethernet 🌐, as well as advanced PLC programming through TIA Portal, S7-400H, and S7-400FH systems 🧠. He is skilled in PFD–P&ID development, ATEX standards, and electrical safety ⚡. Additional credentials include training in Sick Gas Analyzers and industry standards from TUV NORD 📊, showcasing his deep technical knowledge and commitment to industrial excellence.
🔬 Research Focus
Mr. Sina Soltani’s research primarily focuses on instrumentation, estimation algorithms, fuzzy logic, and control systems applied to well-logging, petroleum engineering, and power electronics 🔧📡. His innovative work integrates Kalman filters, fuzzy logic controllers, and iterative learning controls to enhance estimation accuracy and system stability in harsh industrial and geophysical environments 🌍. He also contributes to photovoltaic systems, electrical machine modeling, and harmonic mitigation in distributed generation ⚡🔋. His studies reflect a strong inclination towards adaptive systems, sensor fusion, and intelligent automation, bridging the gap between theoretical modeling and real-world industrial applications
Conclusion
Mr. Sina Soltani combines industrial expertise with academic rigor, offering proven contributions to research, innovation, and technological advancement. His publications, technical skills, and practical results in system efficiency clearly position him as a highly deserving nominee for the Best Researcher Award in the Research Category. His work not only pushes academic boundaries but also solves real-world engineering challenges.
Publication Top Notes
📘 Improved Estimation for Well-Logging Problems Based on Fusion of Four Types of Kalman Filters – Cited by 37 – 📅 2018 🔍🤖
📘 New Estimation Methodologies for Well Logging Problems via Fuzzy Kalman Filter & Smoothers – Cited by 29 – 📅 2016 🛢️📈
📘 Fuzzy Logic Type-2 Controller Design for MPPT in Photovoltaic System – Cited by 25 – 📅 2017 ☀️⚡
📘 Direction of Arrival Calibration Using Iterative Learning Control – Cited by 5 – 📅 2014 🎯📡
📘 Application of Fuzzy Adaptive Kalman Filtering and Smoother for Well Logging Tool – Cited by 5 – 📅 2013 🛢️📊
📘 Improved Estimation via Fuzzy Sigma-Delta for Gamma-Ray Belt Conveyor – Cited by 4 – 📅 2024 🔬📦
📘 Generalized State Space Model and Small Signal Stability of Z-Source Converter – Cited by 3 – 📅 2023 🔄⚙️
📘 Autoregressive Kalman Filter Algorithm for Well-Log Data Estimation – Cited by 1 – 📅 2023 🧠🛢️
📘 Discrete Algorithms for Generation Maintenance Optimization – Cited by 1 – 📅 2023 🧮🔧
📘 Enhanced Estimation for DOA Calibration via Fuzzy Type-2 Weighted Iterative Learning – Cited by 0 – 📅 2025 🛰️🧠
📘 Analytic 2D Subdomain Model for Slotless Machines with Arc/Cubic Magnets – Cited by 0 – 📅 2025 ⚙️🧲