Publications

. Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning. International Conference on Computer Vision (ICCV), 2021.

PDF Project

. Unsupervised Progressive Learning and the STAM Architecture. International Joint Conference on Artificial Intelligent (IJCAI), 2021.

PDF Project

. Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer. International Joint Conference on Neural Networks (IJCNN), 2021.

PDF Project

. Thin wire antenna design using a novel branching scheme and genetic algorithm optimization. IEEE Transacations on Antennas and Propagation, 2019.

PDF Project

. DCMDS: Density-Concentrated Multi-Dimensional Scaling Algorithm for Data Visualization. Journal of Visualization, 2018.

PDF

. Neural Network Training with Levenberg-Marquardt and Adaptable Weight Compression. IEEE Transactions on Neural Networks and Learning Systems, 2018.

PDF Project

. Discrete Cosine Transform Spectral Pooling Layers for Convolutional Neural Networks. International Conference on Artificial Intelligence and Soft Computing (ICAISC), 2018.

PDF Project

Projects

Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning

Data-Free Class-Incremental Learning, where an agent must learn new concepts over time without storing generators or training data from past tasks

Memory-Efficient Semi-Supervised Continual Learning: The World is its Own Replay Buffer

Realistic Semi-Supervised Continual Learning, where data distributions reflect object class correlations between, and among, the labeled and unlabeled data distributions

Unsupervised Progressive Learning and the STAM Architecture

Learning data representations from a non-stationary stream of unlabeled data for downstream classification tasks

Neural Network Training with Levenberg-Marquardt and Adaptable Weight Compression

Gradient-descent algorithm purposed to evade the vanishing gradient problem

Thin wire antenna design using a novel branching scheme and genetic algorithm optimization

Optimization project to design thin wire antennas capable of approximating any arbitrary antenna gain pattern

Discrete Cosine Transform Spectral Pooling Layers for Convolutional Neural Networks

Pooling technique for CNNs utilizing DCT in the spectral domain

Teaching

I was a Teaching Assistant for the following courses:

Georgia Tech

Auburn University

  • ELEC 2110: Electric Circuit Analysis (Summer 2017)
  • ELEC 2210: Digital Electronics (Fall 2017, Spring 2018)
  • ENG 1110: Introduction to Electrical Engineering (Fall 2017)

Recent Posts

I was a recent student spotlight for ML@GT

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James Smith, graduate student in electrical and computer engineering, will be presented with the Alton B. Zerby and Carl T. Koerner Outstanding Student Award from IEEE-Eta Kappa Nu at an awards ceremony in March 2018.

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James Smith, senior in electrical engineering, was chosen as the Auburn Department of Electrical and Computer Engineering’s outstanding student for 2017.

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