DeCoDE Lab
MIT

2.155 AI & ML for Engineering Design

Fall 2023 · MIT Mechanical Engineering · 12 Units

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About This Course

This course explores practical applications of AI and machine learning within engineering design contexts. Students examine how these technologies facilitate product creation and solve engineering challenges. Key elements include advanced machine learning and optimization strategy implementation, a term project applying AI techniques to complex problems, hands-on exercises addressing domain-specific engineering issues including robotics, aircraft structures, and metamaterials, and student-led research paper discussions.

Teaching Team

Faez Ahmed
Faez Ahmed

Associate Professor of Mechanical Engineering

Ferdous Alam
Ferdous Alam

Teaching Assistant

Lyle Regenwetter
Lyle Regenwetter

Teaching Assistant

Student Project Posters

  1. Data Augmentation for BMX Trick Classification
  2. Impeller Blade Design Using Bayesian Optimization
  3. End-to-End Graph Neural Networks for Coulombic Efficiency Regression in Lithium Metal Batteries
  4. Sketch2Prototype: Rapid Conceptual Design Exploration and Prototyping with Generative AI
  5. ScrewedUp: Machine Vision Applications for Quality Control
  6. Learning Maglev: 3D Manipulation Supported by Machine Learning
  7. Diffusion Model with Anime & Manga Industry
  8. FMCW RADAR Human Movement Characterization
  9. CRACKED: Advancing Crack Detection with Transfer Learning on Synthetic Data
  10. Evaluation of ML Classifiers for Material Selection Using Macroscopic Mechanical Properties
  11. Wheel Tread Optimization
  12. IPGuardian: Patent Detector
  13. SafeStop AI: Identifying Pedestrian Drop-off Zones Through Machine Learning
  14. ML for Interpretable Ovarian Cancer Subtype Classification
  15. Generative LSTM Models and Asset Hierarchy Creation in Industrial Facilities
  16. Type2Print: Mapping Text to Printable 3D Models
  17. Failure Prediction for Wind Turbines
  18. 3D Reconstruction and Analysis of 2D Thyroid Ultrasound
  19. Using Time Series Modeling for Penicillin Production Under Fault Conditions
  20. Electro-Mechanical Symphony: Dynamics of Conductive Cellulose Aerogels
  21. Imitation Learning for Drone Trajectory Planning
  22. Capturing 3D Parameterizations of Ship Hulls from 2D Image Data
  23. Generative Bicycle Design Using Diffusion Models
  24. PolyGen: Generative Polymer Design for Enhanced Material Properties
  25. Testing Creativity Rating Models on DALL-E Generated Sketches
  26. Physics-Informed VAE in Topology Optimization
  27. Performance-Guided Diffusion Model for Airfoil Shapes
  28. Physics-Constrained Neural Networks for Multi-Ionic Transport in Membranes
  29. Optimization of Nuclei Structure Using the Treeon Model
  30. Parametric Generation of Bike Designs
  31. StandardSherlock: A Fine-Tuned Large Language Model for Engineering Standard Assistance
  32. Generative Design of Kinematic Couplings for Electric Vehicle Battery Contacts
  33. Physiological Signal Estimation
  34. Decoding siRNA Effects on Cells

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