Mr. José Solana Ibáñez | Energy-Efficient Robotic Systems | Research Excellence Award

After Completing the Registration Process, your Biography will be displayed here.

Register by using your Entry ID: 3584

Register Here

Mr. Henry Nii-Armah Mettle | Machine Learning | Research Excellence Award

After Completing the Registration Process, your Biography will be displayed here.

Register by using your Entry ID: 3582

Register Here

Dr. Osamah Aldayel | Logistics and Warehouse Robotics | Best Researcher Award

Dr. Osamah Aldayel | Logistics and Warehouse Robotics | Best Researcher Award

Third Riyadh Health Cluster | Saudi Arabia

Dr. Osamah AbdulAziz Aldayel is a Home Healthcare Medicine Specialist based in Riyadh, with extensive experience in clinical leadership and healthcare management. He earned his Bachelor of Medicine and Bachelor of Surgery from Al-Imam Mohammed ibn Saud Islamic University and completed specialized training under the Saudi Commission for Health Specialties. He currently serves as a Home Healthcare Pathway Leader in the Riyadh Third Health Cluster and as Director of the Home Healthcare Department at Ad Diriyah Hospital. His professional background includes roles in family medicine, pandemic response during COVID-19, Logistics and Warehouse Robotics and leadership in public health and community healthcare programs.


View Scopus Profile
                                 View Orcid Profile

Featured Publication

Dr. Irsa Sajjad | 3D Vision and Sensing | Research Excellence Award

Dr. Irsa Sajjad | 3D Vision and Sensing | Research Excellence Award

Central South University | Pakistan

Dr. Irsa Sajjad is a researcher affiliated with Central South University, recognized with a Research Excellence Award in 3D Vision and Sensing. Her work spans quantum-inspired optimization, deep learning, and advanced statistical modeling, with numerous publications in high-impact journals such as AIMS Mathematics, Applied Intelligence, and Computational and Mathematical Methods in Medicine. She has contributed extensively to areas including neural network training, hybrid choice modeling, Bayesian methods, and data-driven analysis, reflecting a strong interdisciplinary approach combining artificial intelligence, mathematics, and real-world applications.

Citation Metrics (Google Scholar)

100
75
50
25
0

Citations
99

Publications
13

h-index
3

Citations

Publications

h-index


View Scopus Profile
                                 View Orcid Profile

Featured Publication