Data Sciences and Machine Intelligence

Research in Social Computing Detects Meaningful Patterns in Messy Data

---

Li continues research on algorithms that make predictive models more accurate and productive.

Research Charts Path for More Intelligent Wireless Communications

---

Shen hopes to innovate deep learning theory and develop new tools to clear a path toward more intelligence wireless communications.

New Modeling Tool Has Implications for Better Understanding of Disease

---

In an open-source research paper, a UVA Engineering professor and her former Ph.D. student share a new, more accurate method for modeling evolutionary change.

---

Imaging Research Focuses on Registration Algorithms Embedded in a Dynamic, 3-D Model of the Patient's Brain.

New statistical approach classifies and generates more accurate predictions from big data

---

Amiridi aims to apply her algorithms to a variety of real-world health datasets and ultimately help improve patient outcomes.

---

Research Aims to Improve Algorithms that Rank Alternatives Based on Individual Preferences.

Data-driven methods play important role in wireless communications

---

Nikolaos Sidiropoulos’ pioneering paper is among IEEE's “Best Readings in Machine Learning in Communications.”

Gustavo Rohde is developing a new class of modeling tools

---

Gustavo Rohde has received a grant from the National Institutes of Health to devise a new class of modeling tools that are better adapted to exploring biomedical data than the...

Greg Medlock shares his experience

---

Greg Medlock honed his collaborative abilities during his two years as a participant in a National Institutes of Health training grant led by his doctoral thesis advisor, BME...

Aidong Zhang adds machine learning expertise to biomedical data sciences at UVA

---

One measure of the success of UVA’s campaign to take its place as a national leader in the data sciences is its ability to attract highly regarded researchers to join the faculty...