Michelle Lightfoot | Gynecologic Malignancies | Research Excellence Award Published on 28/04/202628/04/2026 by Physics and Quantum Physics After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 2698 Register Here
Fabien Silly | Nanosciences | Research Excellence Award Published on 24/04/202624/04/2026 by Physics and Quantum Physics After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 2697 Register Here
Anastasia Kourtesa | Application of Cell Biology in Ophthalmology | Research Excellence Award Published on 24/04/202624/04/2026 by Physics and Quantum Physics After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 2696 Register Here
Harry Kambezidis | Solar Energy | Research Excellence Award Published on 24/04/2026 by Physics and Quantum Physics After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 2691 Register Here
Afzal Haq Asif | Pharmacology | Research Excellence Award Published on 24/04/2026 by Physics and Quantum Physics After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 2689 Register Here
Yongming Lai | Emerging Technologies | Women Researcher Award Published on 24/04/202624/04/2026 by Physics and Quantum Physics After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 2688 Register Here
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Neeshu Rathi | Quantum Machine Learning | Quantum Research Leader Award Published on 21/04/2026 by Physics and Quantum Physics After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 2687 Register Here
Dr. Intisar Omar | Machine Learning | Research Excellence Award Published on 10/04/202610/04/2026 by Physics and Quantum Physics Dr. Intisar Omar | Machine Learning | Research Excellence Award Cranfield University | United Kingdom Dr. Intisar Omar is a researcher in Artificial Intelligence with extensive experience in structural health monitoring and higher education. She earned her Ph.D. in AI for Structural Health Monitoring from Cranfield University and has contributed to multiple peer-reviewed publications and international conferences. Her work focuses on applying machine learning to predict structural integrity and crack propagation across various materials. With over a decade of academic and teaching experience, she has supported undergraduate and postgraduate students while promoting inclusive learning. She has been endorsed by the Royal Academy of Engineering for the Global Talent Visa, recognizing her contributions to engineering research. Citation Metrics (Scopus) 80 60 40 20 0 Citations 68 Documents 8 h-index 5 Citations Documents h-index View Scopus Profile Featured Publication Predicting Wear Damage in Moving Mechanical Contacts: Comparative Analysis of Regression Algorithms and Feature Selection Techniques – ISA Transactions, 2025
Dr. Salma Jnayah | Electric Engineering | Young Scientist Award Published on 10/04/202610/04/2026 by Physics and Quantum Physics Dr. Salma Jnayah | Electric Engineering | Young Scientist Award National School of Engineers of Souss | Tunisia Dr. Salma Jnayah is a Contractual Assistant Professor at the Ecole Nationale d’Ingénieurs de Sousse, University of Sousse, and a researcher at the LATIS Laboratory of Advanced Technology and Intelligent Systems. She earned her Ph.D. in Electrical Engineering from ENISo, following a master’s degree in intelligent and communicative systems and an engineering degree in industrial electronics. Her academic work focuses on power electronics, electrical machines, Electric engineering and intelligent systems, with active involvement in teaching and laboratory instruction across multiple engineering disciplines. Citation Metrics (Scopus) 60 45 30 15 0 Citations 45 Documents 8 h-index 4 Citations Documents h-index View Scopus Profile Featured Publication An Improved DTC Scheme Based on Common-Mode Voltage Reduction for Three Level NPC Inverter in Induction Motor Drive Applications – Automation, 2026 (Open Access)