Rosa M. Gil-Iranzo | Ethics in Data Analysis | Best Researcher Award

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Assoc Prof Dr. Rosa M. Gil-Iranzo | Ethics in Data Analysis | Best Researcher Award

Universitat de LLeida | Spain

Publication Profile

Orcid

Google Scholar

Current Position 🏫

Assoc Prof Dr. Rosa M. Gil-Iranzo is an Associate Professor at the Universitat de Lleida (UdL), Spain, in the Department of Computer Engineering and Digital Design. She has held this position since 2005, contributing to the advancement of education and research in computer science, with a focus on ethics in software design.

Summary 📝

Dr. Gil-Iranzo has a strong background in artificial intelligence (AI) and gamification, working on projects related to Down syndrome, ADHD, and autism. Her work also integrates ethical considerations, especially gender, ethnicity, and age, into the development of AI systems and software. She has always sought to promote intergenerational experiences and social inclusion through technology.

Education 🎓

Dr. Gil-Iranzo holds a Bachelor’s in Physics from the University of Barcelona (UB) (1996) and a Master’s in Digital Communication and Computing from ESUP (UPF) (2005). She further specialized with a Postgraduate in Emotional Therapy from Fundació Universitat de Girona (2018).

Professional Experience 💼

Dr. Gil-Iranzo has extensive experience in both teaching and research. Her work spans across multiple research projects, including AI’s role in the digital transformation of sectors like agriculture and healthcare. She has led and contributed to projects funded by the Spanish Ministry of Science and the European Union.

Academic Cites 📚

Dr. Gil-Iranzo has authored numerous influential publications in peer-reviewed journals and conferences, with a particular focus on the ethical impact of AI, gamification, and active aging. Her work has been widely cited in high-impact journals like Heliyon, Applied Sciences-Basel, and Soft Computing.

Technical Skills 💻

Dr. Gil-Iranzo is proficient in several key areas of computer science, including AI, gamification, ontology-based software design, and non-fungible tokens (NFTs) for copyright management. She also has expertise in data science and semantic web technologies, along with ethical software development.

Teaching Experience 📖

As a seasoned educator, Dr. Gil-Iranzo has taught various courses at Universitat de Lleida, specializing in computer science, software design, and artificial intelligence. She is committed to integrating ethical considerations into her teaching methods and engaging students in practical, hands-on projects.

Research Interests 🔬

Her primary research interests lie in the intersection of AI and ethics, exploring topics like intergenerational gaming, smart cities, and data reuse. She is also deeply interested in how technology can address social isolation and empowerment in vulnerable populations, including the elderly and those with developmental disorders.

Top Notes Publications 📚

A Review of Media Copyright Management Using Blockchain Technologies from the Academic and Business Perspectives

    • Authors: Roberto García, Ana Cediel, Mercè Teixidó, Rosa M. Gil

    • Journal: Information

    • Year: 2025

Sovereignty by design and human values in agriculture data spaces

    • Authors: Rosa María Gil, Mark Ryan, Roberto García

    • Journal: Agriculture and Human Values

    • Year: 2025

De la ansiedad al empoderamiento: Impacto del uso de la inteligencia artificial en la percepción de los estudiantes en educación superior

    • Authors: Rosa Gil Iranzo, Daniel Gutiérrez-Ujaque, Mercè Teixidó Cairol

    • Journal: REDU. Revista de Docencia Universitaria

    • Year: 2024

Analyzing the Metaverse: Computer Games, Blockchain, and 21st-Century Challenge

    • Authors: Rosa M. Gil, Daniel Gutiérrez-Ujaque, Mercè Teixidó

    • Journal: International Journal of Human–Computer Interaction

    • Year: 2024

Semantics and Non-fungible Tokens for Copyright Management on the Metaverse and Beyond

    • Authors: Roberto García, Ana Cediel, Mercè Teixidó, Rosa Gil

    • Journal: ACM Transactions on Multimedia Computing, Communications, and Applications

    • Year: 2024

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

Orcid Profile

Google Scholar  Profile

👩‍💻 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.