Dr. Anam Nawaz Khan is a Postdoctoral Research Associate in the Department of Industrial and Systems Engineering at the University of Tennessee, Knoxville. She holds a Ph.D. in Computer Engineering from Jeju National University, South Korea. Dr. Khan has a strong interdisciplinary background in computer science, engineering, and applied artificial intelligence, with specific expertise in federated learning, privacy-preserving machine learning, secure data analytics, and multimodal data and model fusion. She has contributed to innovative methods for data harmonization and decentralized learning, enabling real-world deployment of AI in healthcare. Dr. Khan plays a key role in bridging technical infrastructure with application-driven use cases, leveraging secure data pipelines and containerized environments for rapid prototyping. She has led and contributed to several international research projects on decentralized learning, smart energy systems, and AI-enabled IoT. She also served as an official contributor to ITU-T SG20, served as a session chair at ICTC 2024, and received the Research Excellence Award from the Big Data Research Center at Jeju National University.