Dimitrios Spanos | Trustworthy AI | Best Researcher Award

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Mr. Dimitrios Spanos | Trustworthy AI | Best Researcher Award

PhD Student at Aristotle University of Thessaloniki, Greece

A passionate and forward-thinking AI researcher, he has steadily built a solid foundation in trustworthy intelligent systems through rigorous academic training and dynamic research involvement. With hands-on project experience across several EU-funded research initiatives, his focus remains on socially responsible and high-impact technological advancement. 🌍🤖

👤 Profile

ORCID

✅ Best Researcher Award

Dimitrios Spanos stands out as a highly promising academic researcher whose contributions to deep learning, trustworthy AI systems, and uncertainty estimation demonstrate a remarkable depth of understanding and originality. His consistent engagement with advanced AI methodologies and commitment to scientific impact make him a deserving nominee for the Best Researcher Award. 🏆

🎓 Education

He is currently pursuing a Ph.D. in Computer Science at the Aristotle University of Thessaloniki, specializing in Deep Learning Methodologies for Trustworthy Intelligent Systems. He previously earned a Master of Engineering in Electrical & Computer Engineering from the same institution with a strong academic record and a thesis in multi-view semi-supervised learning for image classification. 🎓📘

💼 Experience

He has held multiple research roles at the Artificial Intelligence & Information Analysis Lab, engaging in significant projects such as DeepLET, OpenDR, DeepFinance, and AMBROSIA, which deal with lightweight AI, autonomous perception, multimodal portfolio management, and biomedical fairness, respectively. Additionally, he gained early R&D experience through an internship at CERTH–ITI working on biometric detection systems. 🔬📊

🔬 Research Interest

His core research interests revolve around deep learning, uncertainty estimation, multimodal fusion, photonic neural networks, and trustworthy AI. He focuses on bridging the gap between advanced computational intelligence and real-world societal challenges, such as biomedical fairness and financial decision systems. ⚙️🧠💡

📝 Publication

Journal Article (2025):
D. Spanos, N. Passalis, A. Tefas — “Leveraging Subclass Learning for Improving Uncertainty Estimation in Deep Learning” — Neurocomputing, 2025

Conference Papers (2025):

  1. D. Spanos, N. Passalis, A. Tefas — “Reliable Uncertainty Estimation in Autonomous Systems via Feature Collapse Mitigation” — 8th IEEE ICPS, 2025

  2. D. Spanos et al. — “Sepsis Detection Exploiting Biomarker Analysis with Deep Neural Networks” — 8th IEEE ICPS, 2025

📚 His publications reflect an emphasis on reliable and responsible AI, combining theoretical innovation with domain application.

🏅 Honors & Awards

He was awarded a prestigious scholarship from the Hellenic Foundation for Research & Innovation (H.F.R.I.) in 2023, recognizing the value and future potential of his research in artificial intelligence and computational science. 🥇🎖️

📌 Conclusion

In light of his focused research trajectory, impactful publications, dedication to academic mentoring, and contributions to cutting-edge AI applications, Dimitrios Spanos exemplifies the qualities of an outstanding academic researcher. His record speaks of innovation, commitment, and the capability to lead transformative changes in science and society. 🌟📈

Muhammad Amin Nadim | Ethical AI | Best Researcher Award

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Mr. Muhammad Amin Nadim | Ethical AI | Best Researcher Award

PhD Student | University of Foggia and University of Telepegaso | Italy 

Muhammad Amin Nadim is a third-year PhD student specializing in Learning Sciences and Digital Technologies, with joint affiliations at the University of Foggia and University of Telepegaso in Italy. His research focuses on the transformative potential of artificial intelligence (AI) in higher education, particularly its role in enhancing teaching methods and student outcomes. Previously, he earned a Master of Science in Computer Science from the University of South Asia, Pakistan, where he explored thermal comfort prediction using machine learning. He also holds a Master’s in Information Technology from the Virtual University of Pakistan, specializing in software project management and database systems. His educational background is rooted in a Bachelor of Science in Computer Science from the University of the Punjab, Pakistan.

Profile

Google Scholar

Education

Muhammad Amin Nadim’s academic foundation includes multiple degrees from esteemed institutions. He holds a Bachelor of Science in Computer Science from the University of the Punjab, Pakistan, which set the stage for his later pursuits. His Master’s degrees include an MSc in Computer Science from the University of South Asia, Pakistan, and an MSc in Information Technology from the Virtual University of Pakistan. These qualifications provided him with a robust understanding of both theoretical and practical aspects of computer science, IT, and machine learning, particularly as they relate to educational technologies and AI. His current PhD work is in progress at two renowned institutions in Italy, focusing on AI’s application in education.

Experience

Muhammad Amin Nadim has an extensive background in the field of computer science and digital technologies. Throughout his career, he has worked on a variety of research projects and collaborations, particularly in AI, machine learning, and digital education. One of his major ongoing projects is the investigation of AI’s role in enhancing teaching and learning in higher education. He has also contributed to projects on thermal comfort prediction using machine learning. His experience extends beyond research to include consultancy roles in industry-sponsored projects, demonstrating his ability to bridge academia and real-world applications. Additionally, his editorial roles in reputable journals showcase his involvement in the academic community.

Research Interests

Nadim’s primary research interests lie at the intersection of artificial intelligence, machine learning, and education technology. His work focuses on using AI to improve teaching and learning, with a particular interest in student retention, academic success, and intelligent tutoring systems. He also delves into the ethical considerations of AI in educational contexts. His research aims to identify innovative ways to enhance learning outcomes through predictive analytics and personalized education tools. As a researcher, he is driven by a commitment to improving educational systems worldwide using cutting-edge technological advancements.

Awards

Throughout his academic journey, Nadim has garnered recognition for his contributions to research and education. His work has led to nominations for prestigious awards such as the Best Researcher Award. His contributions to AI in education, especially his focus on improving teaching methods and retention rates, have positioned him as a promising scholar in the field. Additionally, his engagement as a reviewer for top journals, including the European Journal of Education and Canadian Journal of Education, further highlights his credibility and stature in the academic community.

Publications

Unveiling the Potential: Artificial Intelligence’s Negative Impact on Teaching and Research Considering Ethics in Higher Education – European Journal of Education, DOI: 10.1111/ejed.12929

Empowering Young Learners: A Machine Learning Study on Teachers’ Influence in Creativity and Critical Thinking – Accepted for ICAIE 2025 Conference, Suzhou, China

My POV Project: Enhancing Art Experience for the Visually Impaired – Accepted for presentation at the Applied Research International Conference, Oxford, UK

Exploring the Effect of Digital and Multisensory Educational Materials on Retention in Primary School Using Tangible User Interfaces – Accepted in Taylor & Francis Interactive Learning Environments Journal

Machine Learning Stacked Classifiers’ Role in Higher Education Student Retention and Academic Success – Presented at HELMeTO 2024, Rome, Italy

Students’ Satisfaction with Self-paced E-learning: Evidence from a Meta-analysis – Published in the Italian Journal of Health Education, Sports and Inclusive Didactics, 26 June 2024

Automated Breast Cancer Detection by Reconstruction Independent Component Analysis (RICA) Using Machine Learning – Journal of Medical Imaging, 2022, DOI: 10.1080/09540091.2022.2151566

Conclusion

Muhammad Amin Nadim is a dynamic researcher in the field of artificial intelligence and digital education. His interdisciplinary work focuses on how AI can improve teaching practices, student learning, and educational outcomes. As a PhD student at two prominent Italian universities, he continues to make substantial contributions to research and innovation in learning sciences. With numerous publications in leading journals, his work is helping shape the future of AI in education. Nadim’s academic achievements, combined with his active participation in international conferences and his role as a reviewer for esteemed journals, position him as a key contributor to the field of educational technology.