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.