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Session Description

Free ticketed event
As generative AI rapidly alters the higher education landscape, engineering programs face new challenges and opportunities in teaching, learning, and assessment. This interactive workshop acquaints educators with practical methods for integrating AI technology, including personalized or course-specific LLMs, into engineering classrooms. Participants will get knowledge on how to:

1. Create concise, domain-specific large language models that align with specific course objectives (e.g., design projects, programming, or systems engineering).

2. Utilize these techniques for adaptive tutoring, code assessment, design evaluation, and formative appraisal.

3. Examine ethical concerns related to bias, authorship, and transparency.

4. Develop tasks that promote collaboration with AI instead of its replacement.

5. Evaluate student learning when AI support is incorporated into the process.

Participants will create a prototype for a brief AI-assisted course activity or assessment plan tailored to their discipline through structured activities and small-group design sessions. The session concludes with a strategy for the ethical expansion of personalized AI solutions within institutional and accreditation constraints.

Speakers

1. Madhusudan Singh

   The Pennsylvania State University

   Madhusudan Singh is an Associate Teaching Professor and leading Blockchain Data Intelligence (Blockchain Innovation) Lab in the Department of Computer Science & Engineering at the College of Engineering at The Pennsylvania (Penn) State University, University Park, State College, PA, USA. He previously served as an Associate Professor and chair of Data Analytics in the Department of Entrepreneurship and led the Center for Blockchain Technology and Data Analytics at Long Island University, Brooklyn, New York. Before that, he was an Assistant Professor in the Business department and founder of the Quantum Computing Innovation Center at the Oregon Institute of Technology (OregonTech), USA; his previous roles include Assistant Professor and led the Nexus Cybersecurity Research Center (Applied AI/Data Science & Blockchain Technology) at Woosong University in South Korea. Dr. Singh has also held the position of Research Professor at Yonsei University and was a Senior Research Engineer at Samsung Mobile Display in South Korea.
   As an IEEE Senior Member and an ACM Distinguished Speaker, Dr. Singh is renowned for his extensive contribution to the field, having delivered over 40+ invited and keynote talks. His expertise extends to serving as an IEEE Subject Matter Expert for IEEE e-learning online courses. Additionally, he is an active member of the Intelligent Human Computer Interaction (IHCI) Society, the International Association for Cryptologic Research (IACR), and the Metaverse World Council, illustrating his wide-ranging interests and contributions to the field.
   He is the Series Editor of Blockchain Technologies at Springer Nature, reflecting his leadership in pioneering research. Dr. Singh’s broad research interests include Applied Data Analytics, AI, Blockchain technology, cybersecurity, and Quantum computing. His scholarly output is impressive, with over 80 peer-reviewed articles, patents, books, book chapters, journals, and conference proceedings to his name. Dr. Singh’s work has earned him a position in the top 2% of scientists, as recognized in studies conducted by researchers at ICSR Lab, Stanford University, and Elsevier BV in 2021, 2022, & 2024.

2. Irish Singh

   The Pennsylvania State University

   Irish Singh is an Assistant Teaching Professor in Department of Computer Science and Engineering in School of Electrical Engineering and Computer Science at The Pennsylvania State University (Main Campus), State College, PA. Previously, she worked as faculty member at the Oregon Institute of Technology (OregonTech), USA. She obtained her Ph.D. in Computer Science and Engineering from Ajou University, South Korea. She also holds an M.Tech. degree in Computer Science and Engineering from Birla Institute of Technology Mesra (BIT-Mesra), as well as a B.Tech. in Computer Science and Engineering from State (UP) Technical University, Lucknow, India. She has authored numerous peer-reviewed articles, and her research interests encompass Artificial Intelligence, Software Engineering, Cybersecurity, Blockchain, adaptive security for cloud computing, Applied Data Science, and Cyber-Physical Systems.