Dr. Mansura Habiba is a seasoned technology leader with over 15 years of experience in AI, machine learning, and cloud architecture. As Principal Platform Architect at IBM, she has led major AI and high-performance computing (HPC) initiatives, delivering advanced solutions for global banks, automotive leaders, and major energy enterprises. Her expertise includes designing scalable AI systems, optimizing cloud infrastructure, and driving digital transformation across IBM Cloud, AWS, and Azure.
She is the author of multiple books and numerous peer-reviewed publications that advance the AI and cloud computing community. Driven by a vision to accelerate AI adoption across industries, Dr. Habiba focuses on enabling organizations to harness AI for efficiency, innovation, and sustainable growth. Her commitment to ethical AI, data privacy, and strategic leadership makes her a trusted advisor in today's rapidly evolving digital landscape.
Professor Dr. Barak Pearlmutter is a distinguished researcher and professor in machine learning, neural computation, and theoretical neuroscience. He is a faculty member in the Department of Computer Science at Maynooth University in Ireland, where he conducts pioneering research in automatic differentiation, deep learning, and the brain's computational processes. He is well known for his contributions to automatic differentiation (AD), a foundational technique for optimizing machine learning algorithms by enabling efficient computation of derivatives. His work has significantly influenced computational methods in both theoretical neuroscience and artificial intelligence, and he has also made important contributions to the study of dynamical systems and the development of sophisticated neural computation models. An advocate for interdisciplinary research, Professor Pearlmutter frequently collaborates with neuroscientists, physicists, and engineers to bridge the gap between biological and artificial neural systems. His numerous publications and presentations in top-tier journals and conferences have established him as a leading figure in computational science.
Dr. Mehrdad Maleki is an AI and machine learning expert with a strong mathematical background and a PhD in theoretical computer science. He specializes in developing deep learning models, large language models, and AI-driven solutions for pattern prediction across industries. He has a deep understanding of complex systems and excels at tackling the most challenging problems with a diverse set of advanced tools and techniques. In addition to his AI expertise, Dr. Maleki has a solid foundation in cryptography and quantum computing, and holds several patents in these fields. His work brings together cutting-edge AI methods with secure, scalable solutions applied across a range of domains.
