What can technologists do to help artificial intelligence (AI) comply with ethical values for the public good? A team, including researchers from Penn State, explored ways that blockchain — the technology behind cryptocurrency — could help enforce ethical boundaries for AI systems.
Three new faculty members, each with extensive research experience, have joined Penn State Great Valley this fall: Thao Minh Le, assistant professor of artificial intelligence (AI); Thien Dong, assistant professor of management and organization; and Oguz Toragay, assistant professor of engineering management.
For his master's degree in artificial intelligence (AI), Nicholas Gahman explored new frontiers in technology, such as integrating machine learning into cybersecurity as part of his capstone project. He said he is looking forward to using his skills in his new job as an AI research engineer at Lockheed Martin.
A team of Penn State Great Valley professors and students studied how well large language models, such as ChatGPT and Claude, can solve data science coding challenges. The researchers presented their work at the International Conference on Mining Software Repositories and won the Distinguished Paper Award from the Association for Computing Machinery’s Special Interest Group on Software Engineering.
Penn State Great Valley has again earned national recognition for academic excellence, securing top rankings in the 2025 U.S. News & World Report "Best Online Programs" list for engineering management, software and systems engineering and IT programs.
Anivesh Sinha is one of the graduate research assistants working with a team of faculty and students from five Commonwealth Campuses, with funding from a University Presidential Public Impact Research Award, to help Pennsylvania nonprofit organizations improve their cybersecurity practices.
Two Penn State Great Valley graduate students are collaborating with faculty — who received a University Presidential Public Impact Research Award — to conduct a research project that will use artificial intelligence and machine learning to analyze demographic data to help predict and prevent opioid deaths.
