Rutgers logo
Department of Mechanical and Aerospace Engineering
Rutgers logo
Department of Mechanical and Aerospace Engineering
Rutgers logo
Department of Mechanical and Aerospace Engineering
Rutgers logo
Department of Mechanical and Aerospace Engineering

Data Science in Mechanical Engineering

Research Topics

  • Machine Learning Blood Flow Prediction
  • Machine Learning in Thermal Properties and Management
  • Physics-informed AI for Computational Modeling and Simulation
  • Generative AI for Material Design
  • Machine Learning in Aerospace Applications
  • AI-enabled Materials, Design and Manufacturing
  • Expert Systems
  • ML Digital Twins

 

A holographic 3D model of a complex mechanical system.

Data Science in Mechanical Engineering is becoming increasingly critical across various domains within the field, integrating artificial intelligence, machine learning, and data-driven approaches. This integration is transforming traditional engineering approaches, aiming to surpass the capabilities of human modeling, design, and decision-making. Through data-driven optimization, aircraft designs become safer and more efficient, while AI-enabled models and simulations offer accurate predictions of complex mechanical systems. Robotics gain enhanced autonomy and control, and the implementation of digital twins is transforming manufacturing processes. This shift towards data science within mechanical engineering is fostering a significant transformation, enhancing the precision and efficiency of engineering solutions.

Associated Faculty: Prosenjit Bagchi, Xiaoli Bai, Steven Berg, Laurent Burlion, Xi Gu, Yuebin Guo, Zhixiong (James) Guo, Yogesh Jaluria, Rajiv Malhotra, Assimina A. Pelegri, Amin Reihani, Nikolaos Napoleon Vlassis, Jingang Yi

Research Clusters

Machine Learning in Material Modeling, Design, and Characterization

Faculty: Yuebin (James) Guo, Rajiv Malhotra, Assimina A. Pelegri, Nikolaos Napoleon Vlassis, Jingang Yi

Machine Learning in Thermal Sciences and Processes

Faculty: Zhixiong (James) Guo, Yogesh Jaluria, Amin Reihani

AI-Enabled Robotic Manufacturing

Faculty: Rajiv Malhotra, Yuebin Guo

AI-enhanced Computational Modeling and Simulation

Faculty: Prosenjit Bagchi, Xiaoli Bai, Laurent Burlion, Zhixiong Guo, Yuebin Guo, Yogesh Jaluria, Rajiv Malhotra, Assimina A. Pelegri, Nikolaos Napoleon Vlassis, Jingang Yi

High-throughput Experiments for Data Collection

Faculty: Steven Berg

AI in Space Exploration and Robotics

Faculty: Xiaoli Bai, Laurent Burlion, Jingang Yi

Machine Learning for Engineering Systems Optimization

Faculty: Xiaoli Bai, Laurent Burlion, Xi Gu, Zhixiong (James) Guo, Yuebin Guo, Yogesh Jaluria, Rajiv Malhotra, Assimina A. Pelegri, Amin Reihani, Jingang Yi