Dr. Raul Rodriguez
Dean, School of Business, Woxsen University
Dr. Raul Villamarin Rodriguez is the Dean of the School of Business at Woxsen University. He holds a Ph.D. in Artificial Intelligence and Robotics Process Automation applications in Human Resources.
Fmr. CEO & HR Manager at Irians Research Institute, a research institute specialized in the field of neuromarketing, AI, ML, cybersecurity, market research, behavioral science (with a focus on non-verbal communication), social research methods, and behavioral engineering. He has also collaborated in the organization of symposiums at several educational institutions including Oxford Brookes University, UK, and European Union-government bodies in Brussels, Belgium.
He is a registered expert in Artificial intelligence, Intelligent Systems, and Multi-agent Systems at the European Commission and nominee for the Forbes 30 Under 30 Europe 2020 list. Alongside this, he is a regular keynote speaker and panel moderator at various national and international conferences or summits. Additionally, he is a member of the Harvard Business Review Advisory Council, the Oxford Artificial Intelligence Society, embedded in the University of Oxford, and the Institute for Robotics Process Automation & Artificial Intelligence.
He has co-authored two reference books: “New Age Leadership: A Critical Insight” and “Retail Store’e” and has more than 70 publications to his credit. He is a weekly contributing writer to various magazines in the field of analytics and emerging technologies. Alongside this, he is a journal reviewer and associate editor in various publications such as IEEE.
WATCH LIVE: November 2nd at 10:00 am
Organ failure is one of the leading causes of mortality in today’s world and the urgent need for organ transplants and lack of donors could lead to a global catastrophe shortly. An optimal solution is the use of rapid prototyping techniques in combination with quantum-enabled deep learning CNNs to produce 3D bioartificial “organoids” driven by pluripotent stem cells that would ensure the organ adaptability to the host. The procedure’s accuracy can be enhanced by implementing a set of features such as evolutionary and genetic algorithms.