| Dr. Razia Sulthana Abdul Kareem, PhD, FHEASenior Lecturer, University of Greenwich, UK Dr. Razia Sulthana Abdul Kareem is an academic and researcher in the field of Computer Science and Artificial Intelligence, with over a decade of experience in higher education and research. She currently serves as a Senior Lecturer in the Department of Computing and Mathematical Sciences at the University of Greenwich, UK. Her expertise spans across Machine Learning, Artificial Intelligence, Big Data Analytics, and Computer Vision, with a strong focus on real-world applications, including healthcare, agriculture, and remote sensing. She is actively involved in collaborative projects with the Natural Resources Institute, University of Greenwich, developing machine learning solutions for fungal infection detection in stored fruits and real-time vegetation canopy segmentation. Dr. Razia has an extensive publication record, with 50 international journal articles published in IEEE, Elsevier, Springer, and other reputed platforms, along with 8 conference papers, 2 book chapters, and 3 patents. She has also served as an invited keynote speaker and session chair at multiple international conferences and faculty development programs. She has received multiple certifications from IBM, NVIDIA, Microsoft, Udacity, and Coursera, further strengthening her technical expertise. Recognized for her contributions to academia, Dr. Razia is a Fellow of the Higher Education Academy (FHEA, UK). Her work continues to make a significant impact on the fields of AI, machine learning, and applied data science, with a commitment to fostering innovation and sustainable technological solutions. Speech Title: Embodied AI for Sustainable Agriculture: Intelligent Sensing, IoT, and the Future of Post-Harvest Management |
| Assoc Prof. Antoun J. YaacoubESIEA University, France Professor Antoun J. Yaacoub is specialize in Generative AI, Large Language Models (LLMs), and Data Platforms. With over 15 years of experience, he drive innovation and lead cutting-edge AI Solutions from research to real-world application, while also nurturing the next generation of AI talent. Professor Yaacoub has profound expertise in state-of-the-art AI/ML domains and technologies. As the Scientific Coordinator, he provided visionary leadership and comprehensive technical management for the MSc AIBT program of ESIEA University, also delivered a diverse range of AI/ML and Data Science courses that translating advanced research concepts into practival applications for students. He is also the Google Cloud Certification Coordinator that facilitated and coordinated cloud and Generative AI/LLM model platform certification programs in close collaboration with international partners, significantly enhancing techniical skill development and supporting accessible learning experiences in AI technologies. Speech Title: |
