Machine Learning

Uncovering New Data 科学, Solutions

菠菜网lol正规平台 faculty work in machine 学习 includes deep 学习, 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 学习.

   ○ Recent News and Highlights
   ○ Related Strength: Artificial Intelligence
   ○ Related Strength: Ethical Technology

• Selected Publications

  • Damodaran)., Di Troia, F., Visaggio, C. A.德克萨斯州奥斯汀市. H., & 邮票,M. (2017). A comparison of static, dynamic, and hybrid analysis for malware detection. Journal of Computer Virology and Hacking Techniques, 13.

    Eirinaki, M.等。 (2022). Real-time recommendations for energy-efficient appliance usage in households. Frontiers in Big Data, 5.

    黄,Y., Srivastava, R.， Ngo, C.，高，J.吴，J., & 焦立中,年代. (2023). Data-driven soil analysis and evaluation for smart farming using machine 学习 方法. Agriculture, 13(9). 

    刘,G.等。. (2022). Novel Robust Indoor Device-Free Moving-Object Localization and Tracking Using Machine Learning With Kalman Filter and Smoother. IEEE Systems Journal, 16(4).

    帕蒂尔,P.吴，C. S.波提卡，K., & 猩猩,M. (2020). Stock market prediction using ensemble of graph theory, machine 学习 and deep 学习 models. Proceedings of the 3rd International Conference on Software 工程 and Information 管理.

    吴,C. S.班达里，美国. (2020). Detection of Hate Speech in Videos Using Machine Learning, 2020 International Conference on Computational 科学 and Computational Intelligence.

• Award Highlights

  • Guzun, “Scalable and Adaptable Sparsity-driven Methods for more Efficient AI Systems” — NSF CAREER, 2023

    Park, Di Troia, “REU Site: Undergraduate Research Experience for Women in Machine Learning-based Cybersecurity” — NSF, 2023

    Ramasubramanian, Lee, S.J.李，W., "Thrombosis in Microgravity" — NASA, 2020

• 创新

  • Neural Network In-Memory Computing [pdf]
    A solution to slow training speeds and other issues associated with synapses in neural network in-memory computing.

• 子公司

  • Agricultural Research Institute (ARI)

    Csu系统网络

Featured 教师

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

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

杰里高
Professor of Computer 工程
Software 工程, IT Development Applications, Mobile Computing, Cloud Computing, 测试

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

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

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

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

迈克吴
Assistant Professor of Computer 科学
Big Data, Machine Learning, Software 工程
ORCID: 0000-0001-7382-499X

Potential collaborators and members of the media may contact us at officeofresearch@jkchealthtech.com.