2026 ASEE Annual Conference & Exposition

1. Dr. Bruce R Maxim http://orcid.org/0000-0002-0979-7787 University of Michigan - Dearborn [biography]

   Bruce R. Maxim has worked as a software engineer, project manager, professor, author, and consultant for more than forty years. His research interests include software engineering, human computer interaction, game design, social media, artificial intelligence. Dr. Maxim’s professional experience include managing research information systems at a medical school, directing instructional computing activities for a medical campus, and working as a statistical programmer in a department of epidemiology. He served as the chief technology officer for a game development company.

2. Anwar Ghammam University of Michigan - Dearborn [biography]

   Anwar Ghammam, PhD is an assistant Professor in the Department of Computer and Information Science at the University of Michigan-Dearborn. Her research sits at the intersection of Artificial Intelligence and Software Engineering, with a focus on improving software quality, software maintenance and DevOps through AI-driven techniques. Her work has been published in leading venues such as ICSE, ICSME, MSR, TOESM, and she actively contributes to advancing AI-powered solutions for modern software development challenges.

3. Mayuri Roy http://orcid.org/0009-0003-6375-5718 University of Michigan [biography]

   Mayuri Roy is a Senior Software Engineer with over 10 years of experience at JP Morgan Chase and DBS Bank, specializing in AI-powered microservices and scalable ML systems. She is currently pursuing a Master's in Artificial Intelligence at the University of Michigan, where her thesis research focuses on the efficiency trade-offs between traditional machine learning and fine-tuned large language models for large-scale financial risk prediction. Specifically, she is investigating whether the predictive accuracy gains from LLMs justify their computational cost when processing billions of loan records, using techniques such as LoRA, QLoRA, and full fine-tuning on architectures like BERT, Llama-3, and Mistral-7B. Her work contributes a practical decision framework for deploying LLMs in production financial systems where scale, latency, and cost are critical constraints. Her expertise spans Python, PyTorch, TensorFlow, Java, and Kubernetes-based MLOps. She bridges enterprise engineering with cutting-edge AI to deliver intelligent, secure, and business-aligned solutions in the financial services domain.

4. Sindhuja Gandi University of Michigan - Dearborn [biography]

   Sindhuja Gandi is a Software Consultant and recent graduate of the Master of Science program in Computer and Information Science at the University of Michigan–Dearborn. She has industry experience in business analysis and enterprise systems. Her research interests include generative artificial intelligence, machine learning, and natural language processing. Her current work focuses on integrating Generative AI tools into software engineering education, with an emphasis on reflective writing and prompt engineering for software design, testing, and project management.

5. Mr. Atharva Kishor Gujarathi University of Michigan - Dearborn [biography]

   Atharva Kishor Gujarathi is a graduate student pursuing a Master of Science in Data Science at the University of Michigan-Dearborn. His research interests include generative AI, software engineering processes, data engineering, and machine learning applications in real world systems. He has industry experience as a software development engineer, where he worked on full stack web applications, data driven platforms, and scalable software systems. His current work explores the integration of generative AI tools in software engineering education and development workflows.

The full paper will be available to logged in and registered conference attendees once the conference starts on June 21, 2026, and to all visitors after the conference ends on June 24, 2026