News

 L. Liu, B. Moxley, and N. Klinkhamer, A Clinically Interpretable Machine Learning Framework for Knowledge Discovery and Early Outcome Prediction in Pediatric Obesity Intervention, Journal of Artificial Intelligence for Automation, accepted

Media report: Dr. Lichuan Liu's AI stethoscope research is on the front page of today's Daily Chronicle. 

• Invited to submit a proposal to the Sony Research Award Program.

• Featured in an NIU media interview on AI-enabled pediatric sensing research.

• 🎉 Extended Abstract Accepted: Toward Scalable Human–AI Collaborative Instruction for Gateway Engineering Education was accepted for presentation as a 2-page extended abstract at IEEE SMC 2026.

• 🎉 Extended Abstract Accepted: Engineering Challenges in Pediatric Bio-Acoustics: Mitigating Data-Collection Bias and Label Uncertainty for Intelligent Stethoscopes was accepted for presentation as a 2-page extended abstract at IEEE SMC 2026.

🎉 Paper Accepted: Prosody-Driven Child-Robot Collaboration: A Cybernetic Approach was accepted as a regular paper at the 2026 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2026).