Soumia Benkou | AI in Life Science Research | Best Researcher Award

Mrs. Soumia Benkou | AI in Life Science Research | Best Researcher Award

Ibnou Zohr University | Morocco

Dr. Soumia Benkou is an accomplished Data Scientist and cybersecurity researcher with a strong academic foundation and professional experience in mathematics, machine learning, and blockchain-based E-health systems. Her current Ph.D. research at Ibnou Zohr University focuses on advanced Cloud Computing models and Blockchain architectures for healthcare data security and integrity. Over the years, she has authored and co-authored 9 research documents in reputed journals and international conferences, gaining significant scholarly recognition. Her impactful work on “Healthcare Blockchain Data Integrity Schemes Verification on Storage Cloud” and “E-health Blockchain: Conception of a New Smart Healthcare Architecture” demonstrates innovative integration of deep reinforcement learning with data integrity mechanisms. Dr. Benkou’s contributions have earned more than 120 citations across various indexed platforms, reflecting the growing influence of her research in the domains of data science, cryptography, and E-health innovation. With an h-index of 6, her research excellence highlights consistent productivity and influence within her field. Her work continues to pave the way for intelligent healthcare systems built on trust, transparency, and advanced analytics—making her a leading candidate for recognition in the realm of Life Science and Computing Research Awards.

Featured Publications

Benkou, S., Asimi, A., & Mbarek, L. (2023). E-Health Blockchain: Conception of a new smart healthcare architecture based on deep reinforcement learning. In The International Conference on Artificial Intelligence and Smart Environments (ICAISE 2023).

Benkou, S., & Asimi, A. (2023). Artificial Intelligence and Smart Environment: ICAISE’2022 635, 282. In Proceedings of the International Conference on Artificial Intelligence and Smart Environments (ICAISE 2022).

Benkou, S., & Asimi, A. (2025). DCMHTS: A deep clustering model for healthcare based on trigger service. Network Modeling Analysis in Health Informatics and Bioinformatics, 14(1), 1–18.

Benkou, S., & Asimi, A. (2025). A new perspective on E-health perforated blockchain. In Recent Advances in Internet of Things Security (p. 56).

Ait El Mouden, R., Asimi, A., & Benkou, S. (2025). A multi-objective optimization problem. In Intersection of Artificial Intelligence, Data Science, and Cutting-Edge Technologies.

Fabio Dennstadt | AI in Life Science Research | Best Researcher Award

Dr. Fabio Dennstadt | AI in Life Science Research | Best Researcher Award

Center for Artificial Intelligence in Radiation Oncology | Switzerland

Fabio Dennstadt is an emerging researcher and physician-scientist whose academic and clinical career integrates oncology, artificial intelligence, and biomedical data science. His publication record demonstrates a consistent trajectory of high-impact research, with more than 40 peer-reviewed publications across original research, reviews, and perspective articles. His work spans translational immunology, clinical oncology, and AI-based applications in healthcare, including the use of large language models for decision support and clinical trial analysis. With an h-index of 12, his contributions have been recognized through over 620 citations, reflecting the scientific influence and uptake of his research within the community. Dennstadt’s ability to publish in leading international journals such as Oncology, JCO Clinical Cancer Informatics, Systematic Reviews, and BMC Medical Informatics and Decision Making highlights both the quality and relevance of his scholarship. Beyond publications, he has received multiple prestigious awards, including recognition at the World Cancer Congress and the International Conference of Hyperthermic Oncology, affirming his standing as a rising leader in radiation oncology and digital medicine. His editorial board membership and teaching activities further underline his academic service and mentorship. Overall, Fabio Dennstadt’s profile reflects a strong and growing research portfolio with clear interdisciplinary impact, particularly at the interface of oncology and artificial intelligence

Profile: Scopus

Featured Publication

Implementing large language models in healthcare while balancing control, collaboration, costs and security