Data Science and Engineering


The data science and engineering (DSE) group works to develop technology, processes, and software to enable effective access to and utilization of overwhelming amounts of information. The group studies the fundamental problems that arise throughout the DSE pipeline, which leads from the original noisy data measurements to decisions and visualizations enabled by the data. Solving these problems requires contributions from a variety of fields including signal processing, database systems, machine learning, data mining, artificial intelligence, as well as areas that study particular data modalities such as computer vision and natural language processing.

Our group grounds its work in a wide variety of application domains. Some examples include ecological modeling from citizen science and sensor data, medical data applications, precision agriculture, anomaly detection for security and data integrity, activity recognition in video, computational biology, and others.

Sub Areas

  • Signal Processing

  • Databases and Data Management
  • Data Security and Privacy

  • Data Visualization and Graphics

  • Machine Learning and Data Mining

  • Bioinformatics and Computational Biology

  • Ecosystem Informatics and Computational Sustainability

Related Courses

  • CS 531: Artificial Intelligence
  • CS 533: Intelligent Agents and Decision Making
  • CS 534: Machine Learning
  • CS 535: Deep Learning
  • CS 536: Probabilistic Graphical Models
  • CS 537: Computer Vision
  • CS 538: Natural Language Processing
  • CS 540: Advanced Database Management Systems
  • CS 546: Networks in Computational Biology
  • CS 637: Computer Vision II
  • CS 519: Data Exploration and Analytics
  • CS 519: Algorithms for Computational Molecular Biology
  • BB 585: Applied Bioinformatics
  • ECE 565: Estimation, Detection, and Filtering
  • ECE 599: Convex Optimization


Alireza Aghasi

Alireza Aghasi

Associate Professor

Data science and machine learning; signal and image processing; optimization theory; statistics and probability theory

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Thomas G. Dietterich

Distinguished Professor Emeritus

Machine learning; safe and robust AI systems; sensor networks; intelligent user interfaces

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Patrick Donnelly

Assistant Professor

Deep learning from non-speech audio; educational data mining from audio; large imbalanced datasets; machine learning in the musical domain

Alan Fern

Alan Fern


Artificial intelligence, including machine learning, data mining, and automated planning/control

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Xiaoli Fern

Associate Professor

Machine learning; data mining; unsupervised learning; ecosystem informatics; natural language processing

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Xiao Fu

Assistant Professor

Topic modeling; large-scale structured matrix/tensor factorization algorithms; multivew analysis, canonical correlation analysis; hyperspectral imaging

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Bechir Hamdaoui


Resilient & intelligent networked systems; network & wireless security; enabling network & communication technologies.

David Hendrix

David Hendrix

Associate Professor

Motif finding; non-coding RNA structure and function analysis; apps of machine learning to computational biology; deep sequencing data analysis

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Sanghyun Hong

Assistant Professor

Security, privacy, and machine learning, especially on building secure and reliable AI systems from a systems security perspective

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Rebecca Hutchinson

Assistant Professor

Latent variable models, semi-parametric methods, network analysis, model evaluation strategies, with applications in ecology.

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Stefan Lee

Assistant Professor

Computer vision; natural language processing; deep learning; machine learning.

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Fuxin Li

Associate Professor

Computer vision; deep learning; machine learning; segmentation-based object recognition and scene understanding; spatio-temporal video analysis.

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V John Mathews


Adaptation & learning; nonlinear signal processing; application of signal & information processing to neural engineering and biomedical applications, structural health monitoring, audio & communication systems.

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Karthika Mohan

Assistant Professor

Causal inference; graphical models; AI safety

Raviv Raich profile page.

Raviv Raich

Associate Professor

Adaptive sensing/sampling; manifold learning; sparse representations for signal processing.

Stephen Ramsey Profile.

Stephen Ramsey

Associate Professor

Machine learning; computational systems biology; bioinformatics; integrative computational methods to map gene regulatory networks

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Sandhya Saisubramanian

Assistant Professor

Automated planning, reinforcement learning, safe and reliable AI.

Prasad Tadepalli

Prasad Tadepalli


Artificial intelligence; machine learning; automated planning; natural language processing.

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Arash Termehchy

Associate Professor, Computer Science

Database systems; large-scale and usable data analytics; human-aware databases; heterogeneous data exploration and analytics.

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Sinisa Todorovic

ProfessorComputer Science

Object recognition; region / shape matching; texture; video object segmentation; stochastic image grammars.

Weng-Keen Wong

Weng-Keen Wong

Computer Science Professor

Machine learning; probabilistic graphical models; anomaly detection; human-in-the-loop learning; computational sustainability.

Affiliated Faculty

Portrait of Lizhong Chen.

Lizhong Chen

Associate Professor

CPU and GPU architecture; high-performance computing; machine learning accelerators; data centers; natural language processing.

A profile picture of Eduardo Cotilla Sanchez.

Eduardo Cotilla-Sanchez

Associate Professor | Associate School Head for Graduate Programs

Cascading outages in power grids; power system protection, resiliency, and cybersecurity; smart grids and microgrids; wide-area power system data.