Topic
- Computing and Processing
- Components, Circuits, Devices and Systems
- Communication, Networking and Broadcast Technologies
- Power, Energy and Industry Applications
- Signal Processing and Analysis
- Robotics and Control Systems
- General Topics for Engineers
- Fields, Waves and Electromagnetics
- Engineered Materials, Dielectrics and Plasmas
- Bioengineering
- Transportation
- Photonics and Electrooptics
- Engineering Profession
- Aerospace
- Geoscience
- Nuclear Engineering
- Career Development
- Emerging Technologies
- Telecommunications
- English for Technical Professionals
Ankit Agrawal
Affiliation
ECE Department, Northwestern University, USA
Topic
Neural Network,Artificial Neural Network,Deep Learning Models,Deep Neural Network,Material Properties,Deep Learning,Fraction Of Elements,Materials Science,Transfer Learning,Validation Set,Accuracy Of Model,Combination Of Process Parameters,Convolutional Layers,Crystal Orientation,Enthalpy Of Formation,File System,Generative Adversarial Networks,Graph Neural Networks,Hold-out Test Set,Inverse Model,Long Short-term Memory,Message Passing Interface,Microstructure Evolution,Model Input,Numerical Vectors,Orientation Distribution Function,Parallelization,Polycrystalline Materials,Prediction Model,Process Parameters,Recurrent Neural Network,Representation Learning,Representation Learning Methods,Scientific Applications,Small Datasets,Small Training Dataset,Source Model,Strain Rate,Target Dataset,Training Loss,Training Time,Transfer Learning Method,Transfer Learning Technique,Validation Loss,AI Models,Absorbance Values,Absorption Loss,Access Patterns,Accurate Analysis,Activity Curves,
Biography
Ankit Agrawal received the PhD degree in computer science from Iowa State University, Ames, Iowa. He is a research associate professor with the Department of Electrical and Computer Engineering, Northwestern University. He specializes in interdisciplinary big data analytics via high-performance data mining, based on a coherent integration of high-performance computing and data mining to develop customized solutions for big data problems.