Machine Learning
Uncovering New Data Science, Solutions
菠菜网lol正规平台 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.
○ Recent News and Highlights
○ Related Strength: Artificial Intelligence
○ Related Strength: Ethical Technology
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
Jerry Gao
Professor of Computer Engineering
Software Engineering, IT Development Applications, Mobile Computing, Cloud Computing,
Testing
Gheorghi Guzun
Assistant Professor of Computer Engineering
Big Data, Machine Learning, Energy Efficient AI, Compression, Quantization, Scalable
Algorithms and Data Structures
ORCID: 0000-0001-9162-7981
Wendy Lee
Assistant Professor of Computer Science
Sequencing Artifacts Detection, Machine Learning, Microbiome, Bisphenol-A, RNA-Seq
ORCID: 0000-0002-8421-0536
Guannan Liu
Assistant Professor of Applied Data Science
Machine-Learning Techniques, Artificial-Intelligence Systems, Big-Data Analytics,
Wireless Signal Processing
ORCID: 0000-0001-5548-9040
Katerina 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@bianlifan.com.