Dr. Youakim Badr is Full Professor of Data Analytics at the Pennsylvania State University – Great Valley, and professor-in-charge of the professional master of studies in Artificial Intelligence. He received his Master of Science degree in “Mathematical Modeling and Scientific Software Engineering” from the Francophone University Agency in 1997. He earned his Ph.D. in computer science from the French National Institute of Applied Sciences (INSA-Lyon) in 2003, and the Habilitation degree (“Habilitation à diriger des recherches,” the higher doctorate in France) from the University of Lyon in 2013.Over the course of his research, Dr. Badr has worked extensively in the area of service computing (distributed systems, interoperable and reusable software components) and information security to design and deploy self-adaptable connected devices and build secure “service-oriented systems” for the Internet of Things (IoT). In addition, Dr. Badr conducted research activities on the integration of data analytic capabilities and service computing to make service systems smarter from the flood of data generated by connected devices. Dr. Badr’s current research strategy aims at designing and deploying “Trustworthy AI service systems.” He investigates research challenges and business problems from a multidisciplinary and systemic perspective, focusing on AI analytics systems, Trustworthy AI systems and Composable AI systems.

Dr. Youakim Badr is Full Professor of Data Analytics at the Pennsylvania State University – Great Valley, and professor-in-charge of the professional master of studies in Artificial Intelligence. He received his Master of Science degree in “Mathematical Modeling and Scientific Software Engineering” from the Francophone University Agency in 1997. He earned his Ph.D. in computer science from the French National Institute of Applied Sciences (INSA-Lyon) in 2003, and the Habilitation degree (“Habilitation à diriger des recherches,” the higher doctorate in France) from the University of Lyon in 2013.Over the course of his research, Dr. Badr has worked extensively in the area of service computing (distributed systems, interoperable and reusable software components) and information security to design and deploy self-adaptable connected devices and build secure “service-oriented systems” for the Internet of Things (IoT). In addition, Dr. Badr conducted research activities on the integration of data analytic capabilities and service computing to make service systems smarter from the flood of data generated by connected devices. Dr. Badr’s current research strategy aims at designing and deploying “Trustworthy AI service systems.” He investigates research challenges and business problems from a multidisciplinary and systemic perspective, focusing on AI analytics systems, Trustworthy AI systems and Composable AI systems.

Dr. Youakim Badr is Full Professor of Data Analytics at the Pennsylvania State University – Great Valley, and professor-in-charge of the professional master of studies in Artificial Intelligence. He received his Master of Science degree in “Mathematical Modeling and Scientific Software Engineering” from the Francophone University Agency in 1997. He earned his Ph.D. in computer science from the French National Institute of Applied Sciences (INSA-Lyon) in 2003, and the Habilitation degree (“Habilitation à diriger des recherches,” the higher doctorate in France) from the University of Lyon in 2013.Over the course of his research, Dr. Badr has worked extensively in the area of service computing (distributed systems, interoperable and reusable software components) and information security to design and deploy self-adaptable connected devices and build secure “service-oriented systems” for the Internet of Things (IoT). In addition, Dr. Badr conducted research activities on the integration of data analytic capabilities and service computing to make service systems smarter from the flood of data generated by connected devices. Dr. Badr’s current research strategy aims at designing and deploying “Trustworthy AI service systems.” He investigates research challenges and business problems from a multidisciplinary and systemic perspective, focusing on AI analytics systems, Trustworthy AI systems and Composable AI systems.