Dr Maryam Mirfatah | Computational Materials Science | Best Researcher Award

Dr Maryam Mirfatah | Computational Materials Science | Best Researcher Award

Dr. Maryam Mirfatah ๐ŸŽ“ is a macroeconomist with expertise in monetary policy, exchange rate regimes, and DSGE modeling. She earned her Ph.D. in Economics from Yazd University and has held research positions at leading institutions like the London School of Economics, Kingโ€™s College London, and currently, Banco de Portugal ๐Ÿ‡ต๐Ÿ‡น. Her work blends empirical policy analysis ๐Ÿ“Š with applied macroeconomics, publishing in top journals like Economic Modelling. A UK HEA Fellow ๐Ÿ‘ฉโ€๐Ÿซ, she actively contributes to global economic dialogues ๐ŸŒ through collaborations and international conferences. Dr. Mirfatahโ€™s research supports sustainable, evidence-based policymaking across diverse economies. ๐Ÿ“ˆ๐Ÿ“š๐Ÿ’ก

Dr Maryam Mirfatah, King’s College London, United Kingdom

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๐ŸŽ“ Education

Dr. Maryam Mirfatah holds a Ph.D. in Economics (2019) from Yazd University, Iran, with a thesis focused on โ€œMoney Growth Rules in Emerging Economiesโ€ ๐Ÿ“ˆ๐ŸŒ. She earned her M.Sc. in Economics (2011) from Azad University of Isfahan and a B.Sc. in Statistics (2006) from Isfahan University of Technology ๐Ÿ“Š๐Ÿ“˜. Committed to teaching excellence, she completed a Graduate Certificate in Learning and Teaching (2020) at the University of Surrey, earning Fellowship of the Higher Education Academy (FHEA) ๐Ÿ‘ฉโ€๐Ÿซ๐ŸŒŸ. Additionally, she participated in the prestigious GTA Workshop at the London School of Economics in 2024 ๐ŸŽ“๐Ÿ‡ฌ๐Ÿ‡ง.

๐Ÿ›๏ธ Experience

Dr. Maryam Mirfatah is a highly accomplished economist with over 15 years of professional experience in academic, policy, and industry roles ๐ŸŒ๐Ÿ“Š. She currently serves as a Research Fellow at Banco de Portugal ๐Ÿ›๏ธ and a Visiting Fellow at Kingโ€™s Business School, London, focusing on macroeconomic policy and global financial spillovers. Her academic roles span Kingโ€™s College London, LSE, and City University of London, where she teaches macroeconomics, econometrics, DSGE modeling, and policy design ๐ŸŽ“๐Ÿ“ˆ. She also has corporate experience in financial risk analysis and feasibility studies in Iranโ€™s steel and mining sectors ๐Ÿ—๏ธ๐Ÿ’ผ, blending technical expertise with real-world economic application.

๐ŸŒ Presentation

Dr. Maryam Mirfatah has actively contributed to prestigious international economic conferences ๐ŸŒ๐Ÿ“ˆ. From 2019 to 2025, she presented at events such as the CEBRA Annual Meeting ๐Ÿ‡ฉ๐Ÿ‡ช, Southern Economic Associationยฎ Meetings ๐Ÿ‡บ๐Ÿ‡ธ, Money Macro and Finance Society Conferences ๐Ÿ‡ฌ๐Ÿ‡ง, and Computing in Economics and Finance Conferences ๐Ÿ‡ซ๐Ÿ‡ท๐Ÿ‡จ๐Ÿ‡ฆ. Her insights have been showcased at T2M at CREST, France (2025) and India’s ISI Growth Conference (2021) ๐Ÿ‡ฎ๐Ÿ‡ณ. Dr. Mirfatahโ€™s work bridges macroeconomics, finance, and computational modeling, earning global recognition and fostering interdisciplinary academic dialogue ๐Ÿ“Š๐Ÿ’ก๐Ÿค. Her frequent invitations reflect her influence in modern economic theory and policy research.

๐Ÿ”ย Research Focus

Dr. Maryam Mirfatahโ€™s research bridges monetary economics and international macroeconomics with a forward-looking lens on climate change and energy transition ๐ŸŒฑโšก. Her interests span monetary and fiscal policy, open economy macroeconomics, and macro-financial stability ๐Ÿ’ผ๐Ÿฆ. She delves into the interplay between macroprudential frameworks and global economic shocks, analyzing how policies can foster resilience in volatile financial systems ๐Ÿ“‰๐Ÿ›ก๏ธ. Her work is crucial in shaping economic strategies that align sustainability with stability, offering insights into managing cross-border financial risks and driving green economic transformation for a more balanced and future-ready world ๐ŸŒ๐ŸŒฟ.

๐Ÿ“š Publications

LAMP, Informality and Monetary Growth Rules in an Emerging Economy
Authors: M. Mirfatah, V.J. Gabriel, P. Levine
Journal: Economic Modelling (2025)
Explores macroeconomic policy and informal sector dynamics in emerging markets.

Optimal Liquidity Provision and Interest Rate Rules: A Tale of Two Frictions
Authors: P. Levine, M. Mirfatah, J. Pearlman, S. Tsiaras
Journal: School of Economics Discussion Papers (2023)
Investigates interest rate policy under market frictions in a DSGE framework.

Monetary Growth Rules in an Emerging Open Economy
Authors: M. Mirfatah, V.J. Gabriel, P. Levine
Journal: School of Economics Discussion Papers (2020)
Focuses on monetary rule design in economies with exchange rate volatility.

Imperfect Exchange Rate Pass-through: Empirical Evidence and Monetary Policy Implications
Authors: V. Gabriel, P. Levine, M. Mirfatah, J. Swarbrick
Year: 2019
Empirical study analyzing how exchange rate fluctuations impact domestic prices.

Analysis of the Impact of Good Governance on the Non-Oil Export of Oil Exporting Countries
Authors: H. Sharifi-Renani, H. Mollaesmaeili-Dehshiri, M. Mirfatah
Journal: Journal of Economic Policy and Research 8(1), 1โ€“10 (2013)
Early work examining governance and diversification in oil-dependent economies.

Mr Sina Soltani | Computational Materials Science | Best Researcher Award

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 ๐ŸŽ“โš™๏ธ. 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 ๐Ÿง ๐Ÿ“Š๐Ÿ”ง. 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 ๐Ÿ› ๏ธ๐Ÿ’ก๐Ÿ“ˆ. He continues to contribute to next-generation engineering solutions globally ๐ŸŒ๐Ÿ”ฌ.

Mr Sina Soltani, Honeywell UOP, United States

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๐ŸŽ“ Education

ย Sina Soltani earned his M.Sc. in Control and Power Engineering from Shiraz University in 2014 ๐ŸŽ“โšก and a B.Sc. in Electrical and Computer Engineering from Shiraz University of Technology in 2012 ๐Ÿ’ก๐Ÿ”Œ. He also holds a High School Diploma from Naserian High School, completed in 2005 ๐Ÿซ๐Ÿ“˜. 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) ๐Ÿง ๐Ÿ“ˆโš™๏ธ. This blend of formal education and applied training equips him with strong expertise in automation and instrumentation engineering ๐Ÿ”๐Ÿ”ง.

๐Ÿ“ Experienceย 

Sina Soltani has over a decade of experience in instrumentation, automation, and control engineering โš™๏ธ๐Ÿ”ง. At Honeywell UOP ๐Ÿ‡บ๐Ÿ‡ธ, he leads instrumentation system design and integration for industrial applications. Previously, he served as a senior engineer at Neyriz Ghadir Steel Complex ๐Ÿ‡ฎ๐Ÿ‡ท, focusing on fire & gas systems, PLC/DCS programming, and calibration ๐ŸŽ›๏ธ๐Ÿ’ก. At Piramoon Pardazesh Qeshm, he specialized in radioactive measurement systems and technical documentation ๐Ÿ“Š๐Ÿ“. He also held roles as a chief electrical engineer at PetroAzma and as a university lecturer ๐Ÿ“š๐Ÿง . His expertise spans sensors, analyzers, motors, safety systems, and advanced process control ๐ŸŒ๐Ÿ”.

๐Ÿ› ๏ธ Technical Skillsย 

Sina Soltani possesses a robust technical skill set in Instrumentation Engineering, Control Systems, Automation, and Calibration ๐Ÿงชโš™๏ธ๐Ÿ“. He is proficient in configuring and maintaining advanced industrial instruments, including flowmeters, analyzers, and control valves ๐Ÿ”„๐Ÿ”. With deep knowledge of PLC/DCS systems, loop tuning, and process optimization, he excels at designing and integrating control strategies for complex operations ๐Ÿ’ป๐Ÿ”ง. His expertise includes working with safety standards (NEC, IEC) and executing diagnostics and root-cause analysis for system failures ๐Ÿšจ๐Ÿ› ๏ธ. These capabilities make him a valuable asset in driving innovation and operational excellence across modern industrial environments ๐ŸŒ๐Ÿญ.

๐Ÿ† Achievementย 

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 ๐Ÿ› ๏ธ๐Ÿ“ก. His innovative work in process control systems, real-time signal integration, calibration technologies, and automation reliability set a benchmark in industrial engineering โš™๏ธ๐Ÿ“Š. This distinction reflects his impact on system accuracy, safety enhancements, and advanced control methodologies ๐Ÿ“ˆ๐Ÿ”. Recognized for combining deep technical expertise with practical problem-solving, he continues to lead advancements in instrumentation for critical infrastructure and manufacturing environments ๐ŸŒ๐Ÿ”ฌ.

๐Ÿ”ฌ Research Focusย 

Sina Soltaniโ€™s research is centered on advanced control systems, signal processing, and intelligent estimation methods for industrial applications ๐Ÿง ๐Ÿ“‰โš™๏ธ. His recent work includes the application of autoregressive Kalman filters for gamma level measurement and well-log data estimation ๐Ÿ”ฌ๐Ÿ“ก, as well as the development of fuzzy logic and iterative learning-based control algorithms for instrument air units and harmonic mitigation โšก๐Ÿ”. He also explores high-efficiency modeling of electrical machines using subdomain techniques and smart controllers for distributed energy systems โš™๏ธ๐Ÿ”‹๐ŸŒ. His interdisciplinary focus bridges control theory, automation, and real-time optimization in complex engineering systems ๐Ÿ› ๏ธ๐Ÿ“Š๐Ÿค–.

๐Ÿ“š 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), 13โ€“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)