Machine Learning

Uncovering New Data Science, Solutions

people talk and laugh in computer lab, bird's-eye view 91猎奇 faculty work in machine learning includes deep learning, big data, new technologies, and tools for integrating multidisciplinary knowledge in practical analytics projects. This includes mining and management, modeling, algorithms, presenting results, and assessing impact.

Our research applications meet a broad range of pressing societal needs, from drug discovery to climate science; agriculture to smart cities; and from the stock market to space travel. Below is a rotating selection of our standout investigators in machine learning.

Selected Publications
- Damodaran, A., Di Troia, F., Visaggio, C. A., Austin, T. H., & Stamp, M. (2017). . Journal of Computer Virology and Hacking Techniques, 13.
  
  Eirinaki, M., et al (2022). . Frontiers in Big Data, 5.
  
  Huang, Y., Srivastava, R., Ngo, C., Gao, J., Wu, J., & Chiao, S. (2023). . Agriculture, 13(9).
  
  Liu, G., et al. (2022). . IEEE Systems Journal, 16(4).
  
  Patil, P., Wu, C. S., Potika, K., & Orang, M. (2020). . Proceedings of the 3rd International Conference on Software Engineering and Information Management.
  
  Wu, C. S., Bhandary, U. (2020). , 2020 International Conference on Computational Science and Computational Intelligence.
Award Highlights
- Guzun, 鈥淪calable and Adaptable Sparsity-driven Methods for more Efficient AI Systems鈥� 鈥� NSF CAREER, 2023
  
  Park, Di Troia, 鈥淩EU Site: Undergraduate Research Experience for Women in Machine Learning-based Cybersecurity鈥� 鈥� NSF, 2023
  
  Ramasubramanian, Lee, S.J., Lee, W., "Thrombosis in Microgravity" 鈥� NASA, 2020
Innovations
- Neural Network In-Memory Computing [pdf]
  A solution to slow training speeds and other issues associated with synapses in neural network in-memory computing.
Affiliates

Featured Faculty

Fabio Di Troia
Assistant Professor of Computer Science
Machine Learning, Cybersecurity, Malware Detection, Network Analysis, Biometrics, Sentiment Analysis, Spam Detection
ORCID: 0000-0003-2355-7146

Magdalini Eirinaki
Professor of Computer Engineering
Recommender Systems, Machine Learning, Graph Mining, Deep Learning
ORCID: 0000-0002-4711-3366

gao
Professor of Computer Engineering
Software Engineering, IT Development Applications, Mobile Computing, Cloud Computing, Testing

Assistant Professor of Computer Engineering
Big Data, Machine Learning, Energy Efficient AI, Compression, Quantization, Scalable Algorithms and Data Structures
ORCID: 0000-0001-9162-7981

lee
Assistant Professor of Computer Science
Sequencing Artifacts Detection, Machine Learning, Microbiome, Bisphenol-A, RNA-Seq
ORCID: 0000-0002-8421-0536

liu
Assistant Professor of Applied Data Science
Machine-Learning Techniques, Artificial-Intelligence Systems, Big-Data Analytics, Wireless Signal Processing
ORCID: 0000-0001-5548-9040

potika
Associate Professor of Computer Science
Algorithmic Design, Network Analysis, Machine Learning, Deep Learning, Intrusion Detection and Malware, Blockchain, Distributed Algorithms, Game Theory, Graphing
ORCID: 0000-0003-0332-1347

Mike Wu
Assistant Professor of Computer Science
Big Data, Machine Learning, Software Engineering
ORCID: 0000-0001-7382-499X

Potential collaborators and members of the media may contact us at officeofresearch@sjsu.edu.