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.