Dr. Keivan Shariatmadar is a Senior Lecturer and AI Research Coordinator with over 15 years of experience in applied mathematics, uncertainty modeling, and artificial intelligence. His research centers on optimization and decision theory under imprecise uncertainty, advancing rigorous frameworks for uncertainty modeling and uncertainty-aware AI, with applications in Industry 5.0, robotics, healthcare, and safety-critical systems. He leads the EU-funded FET-Open project Epistemic AI (E-pi) at KU Leuven, where he develops machine learning frameworks grounded in imprecise probability theory, credal sets, and robust decision models. His work bridges strong mathematical foundations with real-world deployment, integrating control systems, reinforcement learning, and uncertainty quantification to enable trustworthy and resilient AI systems. Dr. Shariatmadar has held leadership roles in interdisciplinary research consortia and collaborates closely with academic and industrial partners across Europe. His interests include imprecise optimization, decision-focused learning, uncertainty modeling, and the development of trustworthy AI for high-impact and safety-critical applications.