Additional responsibilities include building and mentoring research teams; supervising graduate and undergraduate researchers and research staff; contributing to instruction, curriculum development, seminars, workshops, and workforce-training activities; disseminating research through high-impact publications and technical presentations; advancing intellectual property and technology transfer; and supporting the continued growth, visibility, and research infrastructure of the laboratory and associated academic–government–industry programs. Research directions may include machine learning (ML), deep learning (DL), large language models (LLMs), vision-language models (VLMs), large multimodal models (LMMs), agentic AI, federated learning (FL), physics-informed AI, and related emerging technologies applied to advanced semiconductor packaging, integrated circuits, printed circuit boards, and broader microelectronics manufacturing and reliability challenges.