My research group mainly works on Generative AI and physics-informed learning for Science and Manufacturing. We are interested in optimization and statistical learning as well.  

I have several fully-funded PhD positions available in Fall 2025 and Spring 2025. If you are interested in working with me, please feel free to email me bo.shen@njit.edu

News

• 03/2025 Honored to receive a NJIT internal Grace Hopper Artificial Intelligence Research Institute (GHAIRI) Seed Grant as a single PI.

• 10/2024 Our AI-powered Solar Eruption Center is highlighted by NJIT news. I am appointed as Associate Director for the AI-powered Solar Eruption Center.

• 10/2024 Honored to receive a US Department of the Army grant "Artificial Intelligence (AI)-driven Multi-fidelity Modeling for Reliability Assessments of Critical Materiel Systems" as a single PI.

• 09/2024 Our paper "On Model Compression for Neural Networks: Framework, Algorithm, and Convergence Guarantee" is selected as a finalist of the INFORMS Data Mining Society DMDA Workshop Best Paper Finalist (Applied Track). Congratulations, Chenyang Li!

• 08/2024 Ph.D. student Jinghao Cao joined the group.

• 07/2024 Ph.D. student Marco Marena was selected for Summer School at BBSO, Big Bear Lake, California.

• 06/2024 Invited to lecture on machine learning for the ISWS-REU program.

• 06/2024 Invited to serve as a grant proposal panelist for NSF.

• 05/2024 Master student Yutao Du defended his master's thesis Neural Operator for Accelerating Coronal Magnetic Field Model.

• 05/2024 Honored to receive a NASA grant "AI-Powered Solar Eruption Center (SEC) of Excellence in Research and Education" as co-PI to expand research and education capabilities on solar physics at NJIT.

• 05/2024 Invited to serve as a grant proposal panelist for NSF.

• 04/2024 Ph.D. student Chenyang Li passed the Doctoral Qualify Exam.

• 03/2024 Invited to serve as a grant proposal panelist for NSF.

• 12/2023 Honored to receive a NASA grant "Understanding Long Term Solar EUV Radiations in the Past 10 Solar Cycles by Synthesizing Modern and Historical Data with Machine Learning" as co-PI.

• 11/2023 Three undergraduate students were selected for the NJIT Undergraduate Research and Innovation (URI) Program (Phase 1).

• 06/2023 Honored to receive the NSF Early Career Researcher Travel Award for the International Advanced Manufacturing Conference.

• 05/2023 Honored to be selected as the winner of the IISE QCRE/ProcessMiner Data Challenge Competition. 

• 05/2023 Honored to be selected as the 2023 NSF Manufacturing Blue Sky Competition Finalist.

• 05/2023 Four CS undergraduate students were selected for the Honors Summer Research Institute (HSRI) at NJIT.

• 04/2023 Honored to receive a faculty seed grant from NJIT "Physics-informed Modeling and Learning for Process-Structure-Property Relationships in Metal Additive Manufacturing" as PI.

• 02/2023 Invited to give a talk at the Department of Industrial and Systems Engineering, Lehigh University.

• 11/2022 Invited to give a talk at the New Jersey Advanced Manufacturing Initiative (NJAMI).

• 11/2022 Invited to serve as a grant proposal panelist for NSF.

• 10/2022 Honored to be selected as the winner of the INFORMS Data Mining and Decision Analytics Workshop Poster competition. 

• 10/2022 Honored to be selected as the finalist of the INFORMS QSR Data Challenge. 

• 10/2022 Honored to be selected as the winner of the INFORMS QSR Best Case Study Paper Competition. 

• 10/2022 Honored to be selected as the finalist of the INFORMS QSR Best Refereed Paper Competition.