Dcember 2025 – Attending NeurIPS 2025 in San Diego and will be organising the NewInML Workshop!
October 2025 – Attending INFORMS Annual Meeting 2025 in Atlanta and presenting our work on “End-to-End Resilience for Machine Tool Controllers Against Cyberattacks”
October 2025 - Our work "Generation-Based Multi-Modal Anomaly Detection for Nuclear Fusion Target Polishing" has been accepted to NeurIPS 2025 Workshop on Machine Learning and the Physical Sciences
May 2025 - Cheers! Our paper titled "Efficient screening of rare large pit anomalies on polished surfaces using a minimalist sampling scheme" has been awarded Outstanding Paper Award in Manufacturing Processes, North American Manufacturing Research Conference (NAMRC), 2025
April 2025 - Our group (Yuhao Zhong, Haopeng Tian, Abhishek Hanchate) has been selected for finalist for IISE QCRE Data challange 2025! We will be presenting at the IISE Annual Conference 2025 held at Atlanta, GA
Update: We are the Runner-up for the IISE QCRE Data challange 2025!
March 2025 - Cheers! Our work "Efficient screening of rare large pit anomalies on polished surfaces using a minimalist sampling scheme" has been fast-tracked to the SME Journal of Manufacturing Processes! We will be presenting this work at the Student Research Presentation Competition during SME NAMRC 53
October 2024 - Our work "Domain-Adaptive ML for Surface Roughness Predictions in Nuclear Fusion" has been accepted to NeurIPS 2024 Workshop on Machine Learning and the Physical Sciences
September 2024 - Our work "Nuclear Fusion Diamond Polishing Dataset" has been accepted in NeurIPS 2024 under Datasets and Benchmarks Track
June 2024 - Our work "Precision polishing of ablator capsules via in-situ process monitoring and machine-learning-based optimization" has been accepted to Fusion Science and Technology Journal