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

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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

Jing An | Artificial Intelligence | Best Researcher Award

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Dr. Jing An | Artificial Intelligence | Best Researcher Award

Yancheng Institute of Technology, China

👨‍🎓Professional Profile

Scopus Profile

👨‍🏫 Summary

Dr. Jing An is a distinguished professor and master tutor at Yancheng Institute of Technology, China. He specializes in intelligent manufacturing engineering, industrial big data fault diagnosis, and residual life prediction. With numerous patents and software copyrights, Dr. An has published over 20 SCI/EI indexed papers and contributed to key academic texts. His pioneering research in artificial intelligence-based fault diagnosis has earned him prestigious awards, including first-place recognition in the China Commerce Federation Science and Technology Award .

🎓 Education

Dr. An holds a Ph.D. in Computer Science from Hohai University (2021) and a Master’s degree in Computer Science from Harbin University of Science and Technology (2006). His academic foundation has strongly influenced his research in AI and fault diagnosis.

💼 Professional Experience

Having joined Yancheng Institute of Technology in 2006, Dr. An is also the Vice President of Science and Technology for Jiangsu Province’s “Double Innovation Plan.” He has led numerous provincial-level projects, and his expertise has extended to more than 10 industry partnerships 🚀.

📚 Academic Citations

Dr. An has authored over 20 peer-reviewed papers in prestigious journals such as IEEE Access and Mathematical Problems in Engineering. His impactful research on AI-based fault diagnosis methods is frequently cited within the academic community .

🔧 Technical Skills

Dr. An is skilled in AI-based fault diagnosis, deep learning, machine learning, and industrial big data analytics. He has expertise in Convolutional Neural Networks (CNNs) and intelligent manufacturing systems, focusing on improving machinery reliability and efficiency .

🧑‍🏫 Teaching Experience

Dr. An has been recognized as an outstanding teacher twice at Yancheng Institute of Technology. He teaches courses in intelligent manufacturing engineering and industrial big data fault diagnosis, preparing students to advance in the field of AI and data science .

🔍 Research Interests

Dr. An’s research is focused on developing intelligent systems for fault diagnosis in rotating machinery, predictive maintenance, and the application of deep learning techniques in industrial big data. His work aims to enhance manufacturing processes and equipment reliability .

📖Top Noted Publications

Hybrid Mechanism and Data-Driven Approach for Predicting Fatigue Life of MEMS Devices by Physics-Informed Neural Networks

Authors: Cheng, J., Lu, J., Liu, B., An, J., Shen, A.

Journal: Fatigue and Fracture of Engineering Materials and Structures

Year: 2024

Bearing Intelligent Fault Diagnosis Based on Convolutional Neural Networks

Authors: An, J., An, P.

Journal: International Journal of Circuits, Systems and Signal Processing

Year: 2022

Deep Clustering Bearing Fault Diagnosis Method Based on Local Manifold Learning of an Autoencoded Embedding

Authors: An, J., Ai, P., Liu, C., Xu, S., Liu, D.

Journal: IEEE Access

Year: 2021

Deep Domain Adaptation Model for Bearing Fault Diagnosis with Riemann Metric Correlation Alignment

Authors: An, J., Ai, P.

Journal: Mathematical Problems in Engineering

Year: 2020

Deep Domain Adaptation Model for Bearing Fault Diagnosis with Domain Alignment and Discriminative Feature Learning

Authors: An, J., Ai, P., Liu, D.

Journal: Shock and Vibration

Year: 2020