Mr Sina Soltani | Computational Materials Science | Best Researcher Award
Sina Soltani is a skilled Instrumentation Engineer at Honeywell UOP, Rosemont, IL, USA, with a strong academic foundation in electrical and control engineering 🎓⚙️. He earned his B.S. and M.S. degrees from Shiraz University, Iran, in 2011 and 2013, respectively. His expertise spans estimation theory, nonlinear systems, adaptive control, signal processing, and intelligent data mining techniques 🧠📊🔧. With a deep interest in innovative industrial automation and smart system integration, he combines practical engineering with advanced control strategies to enhance system reliability and efficiency 🛠️💡📈. He continues to contribute to next-generation engineering solutions globally 🌍🔬.
Mr Sina Soltani, Honeywell UOP, United States
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🎓 Education
Sina Soltani earned his M.Sc. in Control and Power Engineering from Shiraz University in 2014 🎓⚡ and a B.Sc. in Electrical and Computer Engineering from Shiraz University of Technology in 2012 💡🔌. He also holds a High School Diploma from Naserian High School, completed in 2005 🏫📘. His academic path is further strengthened by a range of professional certifications in PLC programming (TIA Portal, S7-400H), industrial networks (Profibus, Modbus, Ethernet), and electrical safety (ATEX, ISO 9001) 🧠📈⚙️. This blend of formal education and applied training equips him with strong expertise in automation and instrumentation engineering 🔍🔧.
📏 Experience
Sina Soltani has over a decade of experience in instrumentation, automation, and control engineering ⚙️🔧. At Honeywell UOP 🇺🇸, he leads instrumentation system design and integration for industrial applications. Previously, he served as a senior engineer at Neyriz Ghadir Steel Complex 🇮🇷, focusing on fire & gas systems, PLC/DCS programming, and calibration 🎛️💡. At Piramoon Pardazesh Qeshm, he specialized in radioactive measurement systems and technical documentation 📊📐. He also held roles as a chief electrical engineer at PetroAzma and as a university lecturer 📚🧠. His expertise spans sensors, analyzers, motors, safety systems, and advanced process control 🌍🔍.
🛠️ Technical Skills
Sina Soltani possesses a robust technical skill set in Instrumentation Engineering, Control Systems, Automation, and Calibration 🧪⚙️📏. He is proficient in configuring and maintaining advanced industrial instruments, including flowmeters, analyzers, and control valves 🔄🔍. With deep knowledge of PLC/DCS systems, loop tuning, and process optimization, he excels at designing and integrating control strategies for complex operations 💻🔧. His expertise includes working with safety standards (NEC, IEC) and executing diagnostics and root-cause analysis for system failures 🚨🛠️. These capabilities make him a valuable asset in driving innovation and operational excellence across modern industrial environments 🌐🏭.
🏆 Achievement
On May 22, 2024, Sina Soltani was honored with the Top Researcher Award at Neyriz Ghadir Steel Complex, Shiraz, Iran, for his exceptional contributions to Instrumentation and Automation Engineering 🛠️📡. His innovative work in process control systems, real-time signal integration, calibration technologies, and automation reliability set a benchmark in industrial engineering ⚙️📊. This distinction reflects his impact on system accuracy, safety enhancements, and advanced control methodologies 📈🔍. Recognized for combining deep technical expertise with practical problem-solving, he continues to lead advancements in instrumentation for critical infrastructure and manufacturing environments 🌍🔬.
🔬 Research Focus
Sina Soltani’s research is centered on advanced control systems, signal processing, and intelligent estimation methods for industrial applications 🧠📉⚙️. His recent work includes the application of autoregressive Kalman filters for gamma level measurement and well-log data estimation 🔬📡, as well as the development of fuzzy logic and iterative learning-based control algorithms for instrument air units and harmonic mitigation ⚡🔁. He also explores high-efficiency modeling of electrical machines using subdomain techniques and smart controllers for distributed energy systems ⚙️🔋🌍. His interdisciplinary focus bridges control theory, automation, and real-time optimization in complex engineering systems 🛠️📊🤖.
📚 Publications
Advances in Gamma Level Measurement by Optimal Autoregressive Kalman Filter
Author: S. Soltani
Conference: 2024 20th CSI International Symposium on Artificial Intelligence and Signal Processing
Designing and Implementing an Algorithm Based on an Autoregressive Kalman Filter to Estimate Well-Log Data
Author: S. Soltani
Conference: 2023 9th International Conference on Control, Instrumentation and Automation (ICCIA)
Introducing an Improved Control Method for Instrument Air Unit Based on Fuzzy and Iterative Learning Control
Author: S. Soltani
Journal: ISA Transactions (2025)
An Analytic 2D Subdomain Model for Slotless Electrical Machines with Internal Arc/Cubic Shape Permanent Magnets
Authors: M. Pourahmadi-Nakhli, M.J.K. SeyedHassanDaryanavard, S. Soltani
Journal: Intelligence 1(1), 13–23 (2025)
Fast Subdomain Approximation of Brushless Electrical Machines with Spoke-Hub Permanent Magnets
Authors: M. Pourahmadi-Nakhli, S.H. Daryanavard, M. Jokar-Kohanjani, S. Soltani
Conference: 2024 32nd International Conference on Electrical Engineering (ICEE)
A Novel Fuzzy Type-2 PI Repetitive Control Methodology for Harmonic Elimination in Distributed Generation Sources
Authors: S. Soltani, M. Rayat
Conference: 2024 9th International Conference on Technology and Energy Management (ICTEM)