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We are a diverse, international, and collaborative team of researchers in the Department of Industrial and Systems Engineering and Engineering Management (ISEEM) at the University of Alabama in Huntsville. We believe that science is a team sport, and we support one another in thriving both within and beyond academia through formal and informal mentorship. Our shared goal is to create and share globally relevant knowledge in design and manufacturing - fields that deeply fascinate us - while inspiring similar enthusiasm in students, collaborators, and the public. We strive to build AI-driven systems to address complex challenges in design and systems science. Positivity, balance, respect, passion, curiosity, integrity, and inclusiveness define our lab culture. Above all, we pursue design, systems, and manufacturing research with a commitment to equity, ethical practice, and genuine partnership with our communities.
We are driven by the belief that intelligent, trustworthy, and transparent computational tools can empower engineers to design safer, more sustainable, and more resilient systems. In the Integrated Computing Lab (ICL), we study how machine learning models can understand and capture complex behaviors in physical and engineering systems. To do this, we design hybrid model architectures that couple data-driven networks with simulation-based physics, enabling the development of trustworthy digital artifacts for aerospace, manufacturing, and energy systems.
Some of the fundamental questions we investigate include: How can we integrate physics-based and data-driven models to improve manufacturing processes, decision-making, and trade-off analysis? What are the most effective model architectures and mathematical representations for capturing complex systems and addressing ill-defined design challenges?