Nabin’s thesis, “Transformer-Based Offline Reinforcement Learning: Applications in Condition-Based Maintenance,” presents a thoughtful application of cutting-edge AI techniques to real-world reliability challenges. Many thanks to the thesis co-chair, Ramanan Krishnamoorti, and the committee, Jiming Peng, George Z. Tan, and Biresh Kumar Joardar, for their time, insights, and support. We’re especially excited that Nabin will be continuing with us as a Ph.D. student — looking forward to more great work ahead!