Simon Schultze | Educational Data Analysis | Research Excellence Award

Assoc Prof Dr

Assoc Prof Dr. Simon Schultze | Educational Data Analysis | Research Excellence Award

University of applied science of the grisons | Switzerland

Assoc Prof Dr. Simon Julian Schultze  is a Switzerland-based academic and information science professional specializing in library sciences, media education, and data management. He holds a BSc in Library Science and an MSc in Information and Data Management from the University of Applied Sciences Graubünden, along with a CAS in Media Education from the University of Applied Sciences St. Gallen. With a career spanning IT support, media education, and academic research, he served as a research assistant and doctoral candidate at the University of Teacher Education St. Gallen. He has been an Associate Professor of Library Sciences at the University of Applied Sciences Graubünden, actively teaching information research, knowledge organization, and media education. His scholarly contributions include publications and presentations on gamification, digital literacy, virtual reality in education, and the role of gaming and emerging media in libraries and learning environments.

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Featured Publications

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

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

Universitat de LLeida | Spain

Publication Profile

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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

Sultan Ahmad | Machine Learning and Data Science | Best Researcher Award

Dr. Sultan Ahmad | Machine Learning and Data Science | Best Researcher Award

Prince Sattam Bin Abdulaziz University | Saudi Arabia

PUBLICATION PROFILE

Scopus

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INTRODUCTION 🌟

Dr. Sultan Ahmad is a distinguished academician and researcher in the field of Computer Science, currently serving as a Senior Lecturer at Prince Sattam Bin Abdulaziz University in Al-Kharj, Kingdom of Saudi Arabia. With over 15 years of academic experience and a rich background in industrial work, Dr. Ahmad has become a pivotal figure in AI, IoT, and Sustainable Development research. His dedication to advancing knowledge and contributing to societal betterment is exemplified through his ongoing and completed research projects.

EARLY ACADEMIC PURSUITS 🎓

Dr. Ahmad began his academic journey with a Bachelor of Science in Computer Science and Applications from Patna University, India, where he achieved distinction in 2002. He further pursued a Master of Computer Science and Applications from Aligarh Muslim University, graduating with distinction in 2006. His pursuit of excellence continued with a Ph.D. in Computer Science from Glocal University, Saharanpur, India. These foundational achievements have laid the groundwork for his extensive contributions to computer science research and education.

PROFESSIONAL ENDEAVORS 💼

Since 2009, Dr. Sultan Ahmad has been a Senior Lecturer in the College of Computer Engineering and Sciences at Prince Sattam Bin Abdulaziz University. His professional journey spans both academic and industrial sectors, with over three years of industrial work experience and a significant academic role. His research expertise includes AI-based models, IoT, Smart Cities, Agriculture 4.0, and innovative solutions for enhancing technological infrastructure.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Dr. Ahmad’s research is primarily focused on the intersection of Artificial Intelligence, Internet of Things (IoT), and Sustainable Development. His ongoing research projects include AI-based models for facial emotion recognition and politeness assessment, as well as AI and IoT approaches for sustainable smart cities. He has also led groundbreaking projects in IoT-based agriculture security, intrusion detection systems, and the integration of IoT and fog computing in the 5G era. Dr. Ahmad’s work is at the forefront of addressing current technological challenges and envisioning future solutions.

IMPACT AND INFLUENCE 🌍

Through his leadership in research and academic contributions, Dr. Sultan Ahmad has made a significant impact on both the academic community and society. His work in AI, IoT, and sustainable development aims to create smart, secure, and sustainable environments that can improve quality of life globally. The outcomes of his projects, such as advancements in agriculture security and smart cities, hold immense potential to address pressing global challenges.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Dr. Sultan Ahmad’s scholarly output is impressive, with multiple publications in prestigious journals and conferences. He has received recognition for his work in the areas of machine learning, cloud computing, IoT, and 5G technologies. His research papers are widely cited in academic circles, and his contributions are accessible through platforms like Google Scholar and Scopus, highlighting his influence in the field.

HONORS & AWARDS 🏆

Dr. Sultan Ahmad’s excellence in research and academia has been recognized through various accolades. He holds a certification from DELL EMC as an Academic Associate in Cloud Infrastructure and Services. Additionally, his contributions as an academic editor, reviewer for renowned journals, and guest editor for special issues have further solidified his standing in the academic community.

LEGACY AND FUTURE CONTRIBUTIONS 🚀

Dr. Sultan Ahmad’s legacy is characterized by his relentless pursuit of innovation and his passion for developing technologies that benefit society. His future endeavors are focused on further advancing the field of AI and IoT, particularly in areas that contribute to the betterment of smart cities, agriculture, and sustainable development. As an educator, he continues to inspire the next generation of computer science professionals, ensuring that his influence will be felt for years to come.

FINAL NOTE ✨

Dr. Sultan Ahmad’s journey from an early academic enthusiast to a prominent figure in the fields of AI, IoT, and Sustainable Development is a testament to his dedication and passion for technology. His ongoing research projects and academic endeavors promise to make a lasting impact on the world, and his commitment to shaping future generations of scholars is evident in his teaching and mentorship.

TOP NOTES PUBLICATIONS 📚

A Novel AI-Based Stock Market Prediction Using Machine Learning Algorithm
    • Authors: M Iyyappan, S Ahmad, S Jha, A Alam, M Yaseen, HAM Abdeljaber

    • Journal: Scientific Programming

    • Year: 2022

Architecture of Data Lake
    • Authors: S Ahmad, A Singh

    • Journal: International Journal of Scientific Research in Computer Science

    • Year: 2019

Deep Learning Enabled Disease Diagnosis for Secure Internet of Medical Things
    • Authors: S Ahmad, S Khan, MF AlAjmi, AK Dutta, LM Dang, GP Joshi, H Moon

    • Journal: Computers, Materials & Continua

    • Year: 2022

Secure Smart Healthcare Monitoring in Industrial Internet of Things (IIoT) Ecosystem with Cosine Function Hybrid Chaotic Map Encryption
    • Authors: J Khan, GA Khan, JP Li, MF AlAjmi, AU Haq, S Khan, N Ahmad, …

    • Journal: Scientific Programming

    • Year: 2022

IoT Based Pill Reminder and Monitoring System
    • Authors: S Ahmad, H Mahamudul, M Gouse Pasha

    • Journal: International Journal of Computer Science and Network Security

    • Year: 2020

Efficient communication in wireless sensor networks using optimized energy efficient engroove leach clustering protocol
    • Authors: N Meenakshi, S Ahmad, AV Prabu, JN Rao, NA Othman, HAM Abdeljaber, …

    • Journal: Tsinghua Science and Technology

    • Year: 2024

Ensemble learning driven computer-aided diagnosis model for brain tumor classification on magnetic resonance imaging
    • Authors: T Vaiyapuri, J Mahalingam, S Ahmad, HAM Abdeljaber, E Yang, …

    • Journal: IEEE Access

    • Year: 2023

 

Shiming Li | Algorithm Development | Best Researcher Award

Dr. Shiming Li l Algorithm Development | Best Researcher Award

North China University of Water Resources and Electric Power, China

Author Profile

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🎓 Early Academic Pursuits

Dr. Shiming Li began his academic journey with a strong foundation in Surveying and Mapping Science and Technology. He earned his Ph.D. in 2021 from Southwest Jiaotong University, Chengdu, China, where his research laid the groundwork for innovations in geospatial data integration and 3D modeling. His early interest in integrating diverse data sources shaped his career trajectory, leading to groundbreaking studies in multi-type point cloud data fusion.

💼 Professional Endeavors

Currently, Dr. Li serves as a Lecturer and Master Tutor at the College of Surveying and Geo-informatics, North China University of Water Resources and Electric Power, Zhengzhou, China. In this capacity, he mentors aspiring professionals and collaborates on projects aimed at enhancing urban and water environment monitoring using advanced geoinformatics tools.

🌍 Contributions and Research Focus

Dr. Li’s research revolves around the fusion of multi-type point cloud data obtained from drones, vehicles, backpacks, and handheld devices. His work addresses critical challenges in three-dimensional reconstruction of complex structures and intelligent scene recognition. By leveraging cutting-edge techniques, he has contributed to monitoring urban and aquatic environments, enabling more efficient and accurate spatial analysis.

🌟 Impact and Influence

Dr. Li’s innovative research has advanced the field of surveying and mapping, particularly in urban planning and environmental monitoring. His studies have practical applications in designing sustainable infrastructure and improving disaster management strategies. His influence extends beyond academia, benefiting industries focused on spatial data and urban development.

📚 Academic Contributions

Dr. Li has authored and contributed to several peer-reviewed articles and conference papers, earning citations in prominent journals. His work is widely recognized for its technical rigor and relevance, making significant strides in geoinformatics research.

🛠️ Technical Skills

Dr. Li is proficient in cutting-edge geospatial technologies and software for data integration and analysis, including GIS tools, point cloud processing platforms, and 3D modeling frameworks. His technical expertise supports his research in creating precise and scalable solutions for complex spatial challenges.

🧑‍🏫 Teaching Experience

As a lecturer, Dr. Li is dedicated to shaping the next generation of geoinformatics professionals. He combines theory with practical applications in his teaching, inspiring students to explore innovative solutions in surveying and mapping. His mentorship extends to graduate students, helping them tackle advanced research problems.

🚀 Legacy and Future Contributions

Dr. Shiming Li is poised to leave a lasting legacy in the field of surveying and geoinformatics. His future endeavors aim to further enhance the integration of multi-source spatial data for intelligent scene recognition and complex structural reconstruction. By continuing to push the boundaries of geospatial research, he is set to contribute to the sustainable development of urban and water environments globally.

📖 Top Noted Publications

Object-Level Contrastive-Learning-Based Multi-Branch Network for Building Change Detection from Bi-Temporal Remote Sensing Images
    • Authors: Shiming Li, Fengtao Yan, Cheng Liao, Qingfeng Hu, Kaifeng Ma, Wei Wang, Hui Zhang
    • Journal: Remote Sensing
    • Year: 2025
Optimal Feature-Guided Position-Shape Dual Optimization for Building Point Cloud Facade Detail Enhancement
    • Authors: Shiming Li, Fengtao Yan, Kaifeng Ma, Qingfeng Hu, Feng Wang, Wenkai Liu
    • Journal: Remote Sensing
    • Year: 2024
Study on the Influence of Label Image Accuracy on the Performance of Concrete Crack Segmentation Network Models
    • Authors: Kaifeng Ma, Mengshu Hao, Wenlong Shang, Jinping Liu, Junzhen Meng, Qingfeng Hu, Peipei He, Shiming Li
    • Journal: Sensors
    • Year: 2024
OFFS-Net: Optimal Feature Fusion-Based Spectral Information Network for Airborne Point Cloud Classification
    • Authors: Peipei He, Kejia Gao, Wenkai Liu, Wei Song, Qingfeng Hu, Xingxing Cheng, Shiming Li
    • Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
    • Year: 2023
Spatiotemporal Information Mining for Emergency Response of Urban Flood Based on Social Media and Remote Sensing Data
    • Authors: Hui Zhang, Hao Jia, Wenkai Liu, Junhao Wang, Dehe Xu, Shiming Li, Xianlin Liu
    • Journal: Remote Sensing
    • Year: 2023
TerraSAR-X and GNSS Data for Deformation Detection and Mechanism Analysis of a Deep Excavation Channel Section of the China South–North Water-Diversion Project
    • Authors: Qingfeng Hu, Yingchao Kou, Jinping Liu, Wenkai Liu, Jiuyuan Yang, Shiming Li, Peipei He, Xianlin Liu, Kaifeng Ma, Yifan Li, et al.
    • Journal: Remote Sensing
    • Year: 2023
Multilevel Feature Aggregated Network with Instance Contrastive Learning Constraint for Building Extraction
    • Authors: Li Shiming, Tingrui Bao, Hui Liu, Rongxin Deng, Hui Zhang
    • Journal: Remote Sensing
    • Year: 2023