Muhammed Benli | Quantitative Social Science Research | Best Researcher Award

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Assoc Prof Dr. Muhammed Benli | Quantitative Social Science Research | Best Researcher Award

Bilecik Şeyh Edebali University | Turkey

Author Profile

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👨‍🏫 Summary

Assoc. Prof. Dr. Muhammed Benli is a dedicated scholar in the fields of Development and International Economics. With a strong academic foundation built across Turkey and the United States, he focuses on global trade, economic development, and policy analysis. Currently serving as an Associate Professor at Bilecik Şeyh Edebali University, he has guided numerous graduate students and actively contributes to both academic and administrative functions.

🎓 Education

Dr. Benli earned his Ph.D. in Economics from Suffolk University in 2016 with a dissertation titled “Essays on Development Economics and International Economics,” under the supervision of Prof. Jonathan Haughton. He holds a Master’s degree in Economic Policy from Boston University (2012), and dual Bachelor’s degrees in International Finance (2009) and Economics (2008) from Istanbul Bilgi University, both completed with full scholarships. He also completed an Associate Degree in Computer Programming through Atatürk University’s Open Education Faculty in 2022.

💼 Professional Experience

He began his academic career as a Research Assistant at Suffolk University and later joined Bilecik Şeyh Edebali University, where he has served as Research Assistant (2016–2017), Assistant Professor (2017–2020), and currently, Associate Professor (2020–Present) in the Department of Economics.

📚 Academic Supervision

Dr. Benli has supervised a wide range of graduate theses focusing on contemporary economic issues, including renewable energy and trade, export diversification, financial development, agricultural growth, and economic complexity in Turkey. As of 2025, he has successfully guided more than eight Master’s theses to completion.

🔬 Research Interests

His research primarily explores themes within Development Economics, International Trade, and Economic Growth. Specific interests include export diversification, financial and economic freedom, energy economics, and the role of economic complexity in development.

🖥️ Technical Skills

He is proficient in statistical and economic software including MATLAB, SPSS, and Stata. He has received formal training in MATLAB and participated in national workshops on Meta-Thematic Analysis. He is fluent in English and a native Turkish speaker.

👨‍🏫 Teaching Experience

Throughout his academic career, Dr. Benli has taught courses in International Economics, Macroeconomics, Development Economics, Economic Policy, and Global Trade. His teaching approach integrates theory with real-world applications, preparing students for advanced academic and policy-oriented work.

🏛️ Administrative Roles

He has served as a member of the Executive Board of the Continuing Education Application and Research Center at Bilecik Şeyh Edebali University since 2019, contributing to the university’s outreach and adult education programs.

🏅 Awards & Scholarships

Dr. Benli was awarded a prestigious government scholarship from the Turkish Ministry of National Education for his Master’s and Doctoral studies abroad in 2008. He has also received national certifications for his participation in MATLAB training and thematic research workshops.

📖Publications

  • Gelişmekte Olan Ülkelerde Enflasyon ve Yolsuzluk Dinamikleri: Yönetişim Kalitesinin Rolü

    • Authors: Necati Çiftçi, Muhammed Benli, Yakub Hiçkiran

    • Journal: Bandırma Onyedi Eylül Üniversitesi Sosyal Bilimler Araştırmaları Dergisi

    • Year: 2025

  • Global dimensions of human freedom: a two-decade analysis using fuzzy set theory and TOPSIS analysis

    • Author: Muhammed Benli

    • Journal: Quality & Quantity

    • Year: 2025

  • A fuzzy approach to economic freedom performance

    • Authors: Muhammed Benli, Ahmet Çağlar

    • Journal: International Studies of Economics

    • Year: 2025

  • The Impact of Export Diversification on Economic Growth by Provinces in Türkiye

    • Authors: Muhammed Benli, Sümeyra Gültekin

    • Journal: Trends in Business and Economics

    • Year: 2025

  • Testing obesity Kuznets curve for Türkiye

    • Authors: Muhammed Benli, Y. Acar, S. Baş

    • Journal: Obesity Medicine

    • Year: 2024

 

Osman Makkawi | Energy and Utilities Analytics | Best Researcher Award

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Dr. Osman Makkawi | Energy and Utilities Analytics | Best Researcher Award

Liwa university | United Arab Emirates

Author Profile

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🧑‍🔬 Professional Summary

Dr. Osman Makkawi is an accomplished materials physicist and educator with over 10 years of experience in semiconductor materials, nanotechnology, and energy systems. His work focuses on 2D materials, optoelectronic devices, and graphene-based field-effect transistors (FETs). With a strong background in translational research, he has published extensively in high-impact journals and led collaborative innovation across academia and industry. He is passionate about graduate-level teaching and mentorship, aiming to inspire and develop future researchers in the field.

🔍 Research Interests

His primary research areas include emerging semiconductor devices and van der Waals heterostructures, synthesis of 2D materials for FET and optoelectronic applications, electrochemical energy storage, and sustainable hydrogen generation. Dr. Makkawi is particularly interested in applying nanotechnology to solve real-world energy challenges through translational research.

👨‍🏫 Professional Experience

Currently, Dr. Makkawi serves as an Assistant Professor of Physics & Applied Electric Circuit at Liwa College of Engineering, UAE (Jan 2023–Present), where he developed industry-relevant curricula and enhanced student engagement, increasing participation by 70%. He previously lectured at Sharjah Maritime Academy (2020–2023), where he significantly improved student pass rates through interactive teaching methods, and at the Academy of Engineering Science in Sudan (2008–2010), delivering courses in physics, chemistry, thermodynamics, and materials science.

🎓 Education

Dr. Makkawi earned his PhD in Material Physics and Chemistry from Harbin Institute of Technology, China (2013–2017), where he specialized in nanomaterial fabrication. He also holds an M.Sc. in Physics (Material Science) from Al-Neelian University, a Postgraduate Diploma in Education from the Open University of Sudan, and a B.Sc. in Physics (Honours) from the University of Khartoum.

🧪 Technical & Research Skills

His technical expertise includes 2D material fabrication (graphene, InSe, MoSe₂, h-BN), device applications such as supercapacitors, FETs, and hydrogen generation, and advanced characterization techniques (SEM, TEM, XRD, AFM, XPS, EDX). He is proficient in simulation and data analysis tools including COMSOL Multiphysics, OriginLab, and LabView.

📚 Teaching & Academic Service

Dr. Makkawi teaches graduate-level courses in advanced physics, nanotechnology, and electronic materials. He is actively involved in curriculum development that integrates modern industry needs, and he mentors graduate students in both research and professional development. He also serves as a peer reviewer for respected journals in nanotechnology and applied materials.

🌍 Professional Engagement

A regular participant in international conferences on materials science and sustainable energy, Dr. Makkawi collaborates with global research teams to develop advanced technologies for a greener future. His ongoing efforts contribute to a growing network of international academic and industry partnerships.

📖Publications

Optimized electrochemical performance and longevity in asymmetric supercapacitors using binder-free MOF-808/Ti₂N electrodes

Authors: Makkawi Osman; Md Rezaul Karim; Haseebul Hassan; Abdullatif Hakami; M. Musa Saad H.-E; M. Iqbal; Sidra Mumtaz
Journal: Journal of Energy Storage
Year: 2025

Enhanced photoresponse through van der Waals heterostructure integration: p-GaSe and n-MoSe₂ on h-BN substrate

Authors: Makkawi Osman; Haseebul Hassan; Muhammad Waqas Iqbal; Muhammad Hasnain Jameel; Samia Arain; Khaled Althubeiti; Mohammed Aljohani; Ehsan Elahi; Sidra Mumtaz
Journal: Journal of Materials Chemistry C
Year: 2024

Graphene Quantum Dots Decorated on Chromium Oxide and Zirconium Metal-Organic Framework Composite (GQDs@Zr-MOF/Cr₂O₃) for Asymmetric Supercapacitors and Hydrogen Production

Authors: H. Hassan; Misbah Shoaib; Khakemin Khan; Mohamed A. Ghanem; Makkawi Osman
Journal: Materials Chemistry and Physics
Year: 2024

Temperature optimization for enhancing the electrochemical performance of covalent triazine frameworks composite with Nb-based Mxene in asymmetric supercapacitors and hydrogen production

Authors: Makkawi Osman; Haseebul Hassan; Zubair Ahmad; Imad Barsoum; Sidra Mumtaz; Muhammad Waqas Iqbal; Ahmed Althobaiti; Alsharef Mohammad; Khakemin Khan
Journal: Journal of Energy Storage
Year: 2024

Enhanced ionic diffusion in a gold-augmented binary metal–organic framework composite with zirconium oxide for asymmetric supercapacitors and monosodium glutamate (MSG) detection

Authors: Haseebul Hassan; Muhammad Imran; Makkawi Osman; Abdullatif Hakami; Khakemin Khan; Ahmed Mahmoud Idris
Journal: Ionics
Year: 2024

Mohammad Renewable energy | Best Researcher Award

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Assoc Prof Dr. Mohammad Renewable energy | Best Researcher Award

Dr. Lichun Zhu | Agricultural Data Analysis– Islamic Azad University – Semnan Branch | Iran

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👨‍🏫 Summary

Assoc. Prof. Dr. Mohammad Tolou Askari is an accomplished academic in Power Electrical Engineering, currently serving as an Associate Professor at Islamic Azad University, Semnan Branch. With a strong background in both academia and industry, he has held various leadership roles including Head of International Affairs, Director of the Incubator Technology Center, and Managing Editor for multiple academic journals. His professional career spans over two decades, marked by a focus on electrical systems, power market restructuring, and renewable energy solutions.

🎓 Education

Dr. Askari earned his Ph.D. in Power Electrical Engineering from University Putra Malaysia (CGPA 4.0/4.0), where he focused on dynamic investment modeling in power markets with wind sources. He also holds an M.Sc. from the same university (CGPA 3.87/4.0), with research on transformer life estimation. His B.Sc. and Associate degrees were obtained in Iran, both in Power and Industrial Electricity, respectively.

💼 Professional Experience

Since 2011, he has been an Associate Professor at Islamic Azad University. He has also served as a consultant to Iran Small Industries and contributed to numerous engineering and audit projects for factories and industrial zones. His past roles include instructor at UPM, technical manager at Pouyan Tahvieh Co., and department head at the University of Applied Science and Technology (Mahdishahr). He has experience as a lecturer across several university branches and served in editorial capacities for scientific journals.

💻 Technical Skills

Proficient in MATLAB, Digsilent, EMTP-RV, PVsyst, GAMS, SPSS, MINITAB, LINGO, AutoCAD, E-Views, and Microsoft Office. Also skilled in video editing tools like Camtasia and KineMaster, with certification in ICDL.

🧑‍🏫 Teaching Experience

Dr. Askari has taught a wide range of undergraduate to PhD-level courses, including Renewable Energies, Power System Analysis, Smart Grid Optimization, Reliability, Power Electronics, Engineering Mathematics, and Technical English. He has also led laboratory sessions in machines, electronics, and energy systems.

🔬 Research Interests

His research spans Restructured Power Markets, Renewable Energies (Wind, Solar, Biomass, etc.), Smart Grids, Generation & Transmission Planning, Uncertainty Modeling, Microgrids, Hub Energy, and Power System Resilience. He has led numerous funded projects involving system audits, feasibility studies, and optimization across various industrial sectors.

📚 Selected Publications

Multi-objective resilience enhancement program in smart grids during extreme weather conditions

    • Authors: VG Rahman Ashrafi, Meysam Amirahmadi, Mohammad Tolou-Askari

    • Journal: International Journal of Electrical Power and Energy Systems

    • Year: 2021

Evaluation of lightning current using inverse procedure algorithm

    • Authors: M. Izadi, M.Z.A. Ab Kadir, M.T. Askari, M. Hajikhani

    • Journal: International Journal of Applied Electromagnetics and Mechanics

    • Year: 2013

Optimal resilient operation of hub energy system considering uncertain parameters

    • Authors: M. Paktinat, M. Amirahmadi, M. Tolou-Askari, F. Mousavizadeh

    • Journal: Sustainable Energy, Grids and Networks

    • Year: 2022

A new comprehensive model to simulate the restructured power market for seasonal price signals by considering on the wind resources

    • Authors: M.T. Askari, M.Z.A. Ab Kadir, H. Hizam, J. Jasni

    • Journal: Journal of Renewable and Sustainable Energy

    • Year: 2014

Modeling optimal long-term investment strategies of hybrid wind-thermal companies in restructured power market

    • Authors: M.T. Askari, M.Z.A. Kadir, M. Tahmasebi, E. Bolandifar

    • Journal: Journal of Modern Power Systems and Clean Energy

    • Year: 2019

Sogand Dehghan | social network analysis | Best Innovation Award

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Ms. Sogand Dehghan | social network analysis | Best Innovation Award

Ms. Sogand Dehghan at K. N. Toosi University of Technology, Iran

👨‍🎓Professional Profiles

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👩‍💻 Summary

Ms. Sogand Dehghan an Information Technology specialist with expertise in data analysis and software development. My work primarily focuses on collecting, cleaning, and analyzing data from various sources to create actionable reports and dashboards for organizational decision-making. I am passionate about using data-driven strategies to help businesses achieve their goals, with a particular interest in social media analysis and its alignment with organizational objectives. Additionally, I enjoy developing data-driven software solutions that enhance operational efficiency.

🎓 Education

Ms. Sogand Dehghan earned my Master’s Degree in Information Technology from K.N. Toosi University of Technology (2019-2022) and my Bachelor’s Degree in Information Technology with a grade of 97% from Payame Noor University (2012-2016). My thesis, titled “Provision of an Efficient Model for Evaluation of Social Media Users Using Machine Learning Techniques,” focused on leveraging machine learning to assess social media engagement and user behavior.

💼 Professional Experience

Ms. Sogand Dehghan currently hold two key roles: as an Instructor at National Skills University, where I teach courses on Advanced Programming and Data Analysis (since Sep 2024), and as a Data Analyst at GAM Arak Industry, where I focus on data mining, machine learning, and visualizing data insights using tools like Power BI, Python, SQL Server, and SSRS (since Jan 2024). Additionally, I serve as a Software Developer at GAM Arak Industry, working with C#, ASP.NET Core, and SQL Server to build scalable software solutions (since Apr 2023). In my previous role at Kherad Sanat Arvand (Apr 2022 – Jun 2023), I honed my skills in data analysis and dashboard development.

📚 Academic Citations

My research has been published in prestigious journals. My paper, “The Credibility Assessment of Twitter Users Based on Organizational Objectives,” was published in Computers in Human Behavior (Sep 2024), where I developed a model for assessing the credibility of Twitter users by integrating profile data with academic sources like Google Scholar. Another notable publication, “The Evaluation of Social Media Users’ Credibility in Big Data Life Cycle,” appeared in the Journal of Information and Communication Technology (Sep 2023), in which I reviewed existing frameworks for evaluating social media user credibility.

🔧 Technical Skills

My technical skill set includes expertise in C#, ASP.NET, Python, and SQL Server for software development. I specialize in Data Visualization with Power BI, Data Mining, Machine Learning, and Social Network Analysis. Additionally, I have a solid foundation in Text Mining and Data Modeling, which enables me to provide comprehensive solutions for data-driven challenges in various organizational contexts.

👨‍🏫 Teaching Experience

As an Instructor at National Skills University, I teach Advanced Programming and Data Analysis. I focus on equipping students with the skills needed to thrive in the data-driven world of technology. My approach integrates real-world data problems with theoretical knowledge to help students apply their learning in practical scenarios.

🔍 Research Interests

My research interests lie in the intersection of Machine Learning and Social Network Analysis. I am particularly interested in developing models to evaluate social media user credibility, integrating heterogeneous data sources for organizational decision-making, and exploring the broader implications of big data in evaluating trust and influence within social networks.