Sina Soltani | Instrument Engineering | Best Researcher Award

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Mr. Sina Soltani | Instrument Engineering | Best Researcher Award

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

Orcid

Google Scholar

🎓 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 ⚙️🧲

Mohammad Baraheni | Mechanical Engineering | Best Researcher Award

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Assist. Prof. Dr. Mohammad Baraheni | Mechanical Engineering | Best Researcher Award

Assist. Prof. Dr. Mohammad Baraheni, Arak University of Technology, Iran

Assist. Prof. Dr. Mohammad Baraheni 👨‍🏫 is an Assistant Professor at Arak University of Technology, specializing in Mechanical Engineering, particularly in Production & Manufacturing. He holds a PhD from the University of Kashan, focusing on rotary ultrasonic machining. His research interests include ultrasonic machining, additive manufacturing, artificial intelligence in manufacturing, and advanced ceramics. Dr. Baraheni has published extensively in international journals and received accolades such as the Excellent Paper Award at ISAAT 2023. He has teaching experience in subjects like CNC and advanced machining. His professional background also includes roles in industry and design engineering. 📚🔧🌍

Education

Assist. Prof. Dr. Mohammad Baraheni completed his Post-Doctoral Degree at the University of Tabriz (2019-2022), specializing in Mechanical Engineering, with a focus on Ultrasonic Machining of Additive Manufactured Materials. He also pursued a Sabbatical Fellowship at Hochschule Furtwangen University in Germany (2017-2018), where he developed an expert system using Artificial Intelligence. Dr. Baraheni holds a PhD in Mechanical Engineering from University of Kashan (2014-2020), focusing on Rotary Ultrasonic Machining of Si3N4. His earlier academic journey includes an M.Sc. and B.Sc. from the University of Tabriz. 🏫🔧🧑‍🎓

 

Professional Experience

Assist. Prof. Dr. Mohammad Baraheni has accumulated diverse experience in both academia and industry. Since 2020, he has been serving as an Assistant Professor at Arak University of Technology. Previously, he worked as an Engineer at Tractorsazi Company (2018-2020) and a Research Assistant at Furtwangen Hochschule in Germany (2017-2018). He also gained valuable experience as a Design Engineer at Jahan Saderat Machine (2016-2017) and a Sales Engineer at Pumpiran (2012-2014). Additionally, Dr. Baraheni has worked independently, designing industrial molds and machines such as Briquetting machines and Ultrasonic washing machines. ⚙️🔧

 

Teaching Experience

Assist. Prof. Dr. Mohammad Baraheni has a rich teaching portfolio across various institutions. He has taught courses in Industrial Drawing at University of Kashan, Grinding Technology, Universal Machining, and Advanced Machining Processes at Islamic Azad University. At Arak University of Technology, he has delivered lectures on Computer Numerical Control, Casting, Metallurgy, Metrology, and Welding. Additionally, Dr. Baraheni has taught Plastic Molding Design at University of Tabriz and English for Mechanical Engineering at Shahid Mousavian University. His broad expertise spans key areas in mechanical engineering. 🛠️📚

 

Research Focus

Assist. Prof. Dr. Mohammad Baraheni’s research primarily revolves around advanced machining techniques and their application in composite materials. His work extensively explores rotary ultrasonic machining, ultrasonic-assisted drilling, and grinding technologies for materials like Si3N4 ceramics, carbon fiber reinforced polymers (CFRP), and glass fiber reinforced plastics (GFRP). He has contributed to optimization of process parameters, delamination control, surface integrity, and cutting force prediction. His research also delves into additive manufacturing, material behavior, and industrial mold design, focusing on enhancing precision and efficiency in machining processes. His work bridges mechanical engineering with innovative manufacturing. 🌍

 

Publication Top Notes

  • Residual stress in engineering materials: a review – 104 citations, 2022 📖🔧
  • Predicting subsurface damage in silicon nitride ceramics subjected to rotary ultrasonic assisted face grinding – 70 citations, 2019 🔬🛠️
  • Parametric analysis of delamination in GFRP composite profiles by performing rotary ultrasonic drilling approach – 50 citations, 2019 🔩💡
  • Comprehensive optimization of process parameters in rotary ultrasonic drilling of CFRP – 43 citations, 2019 ⚙️🔩
  • Parametric investigation of rotary ultrasonic drilling of carbon fiber reinforced plastics – 39 citations, 2018 ⚙️🔧
  • Enhancing dimensional accuracy and surface integrity by helical milling of CFRP – 36 citations, 2019 📐✂️
  • Feasibility study of delamination in rotary ultrasonic-assisted drilling of GFRP – 35 citations, 2018 🔬🛠️
  • Mathematical model to predict cutting force in rotary ultrasonic assisted end grinding of Si3N4 – 32 citations, 2020 📏💻
  • Environmental, mechanical and materialistic effects on delamination damage of glass fiber composites – 31 citations, 2019 🧪🛠️
  • Ultrasonic-assisted friction drilling process of aerospace aluminum alloy (AA7075) – 19 citations, 2021 ✈️🔩
  • Evaluating the hole quality produced by vibratory drilling: additive manufactured PLA+ – 18 citations, 2021 🖨️🔩
  • Statistical study of the effect of various machining parameters on delamination in drilling of CFRP – 17 citations, 2018 🔍💡
  • Investigation on rotary ultrasonic assisted end grinding of silicon nitride ceramics – 13 citations, 2019 ⚙️🔬
  • Experimental comparison of MO40 steel surface grinding performance under different cooling techniques – 13 citations, 2019 🛠️🧊
  • Experimental and empirical model analysis of microsurface texturing on 316 L press-fit joints fabricated by selective laser melting – 12 citations, 2020 🔬🖨️