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
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@sh-fyz.com.