• Welcome to the website of the Data Analytics for Complex Human Behaviors (DACHB) Lab!

    We develop and apply data science techniques to complex problems. While we are computer scientists, our work is often interdisciplinary and our lab welcomes collaborations.

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Our Lab

Our lab started in 2015. We use modern workstations and massive storage to generate insight from large datasets. Check our current students, alumni and collaborators.

Our lab started in 2015. We use modern workstations and massive storage to generate insight from large datasets.

Dr. Giabbanelli in DACH Lab

Our Director

Dr Philippe J. Giabbanelli joined Northern Illinois University from the University of Cambridge where he was a researcher. He teaches data science courses and supervises research students.

Dr Philippe J. Giabbanelli joined NIU from the University of Cambridge where he was a researcher. He teaches data science courses and supervises research students.

Dr. Phillipe J. Giabbaneli
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Our Skills

Modeling and Simulation

We calibrate models using data, and we then go beyond the data to test "what-if" scenarios and support decision-making.

Big Data

We’re experienced in dealing with datasets of different sizes using technologies such as NoSQL. We have a dedicated storage of 42TB.

Data Mining

To understand the current situation or inform model design, we mine datasets, both structured and unstructured (text).

Visualization

We create and evaluate novel interactive visualizations to support analysts in generating insight from data with specific characteristics.

Counters

Publications


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We publish in computer science conferences and interdisciplinary journals.

Grants


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Our research is supported by internal and extramural funding.

Theses


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Congratulations to our students for defending their theses!

Updates

We try to cover every major lab activities here, See More.

  • The lab received a competitive Research and Artistry award

    The lab received a competitive Research and Artistry award

    In 2015, the team led by Dr. Giabbaneli and Dr. Mago published computational model of HIV dynamics within a host, which was shortlisted for a best paper award. We are now taking this work further, using high performance computing to perform large-scale simulations, and also tracking mutations.

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  • We are preparing a new book

    We are preparing a new book

    Our new book on Advanced Data Analytics in Health is due for 2017 with Springer. We are excited to provide the research community with a comprehensive on techniques and applications, ranging from the use of Natural Language Processing to Network Analysis.

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  • Our research was featured by the university

    Our research was featured by the university

    Thanks to funding support from the Global Obesity Prevention Center at the Jhon Hopkins Bloomberg School of Public Health. We are conducting the largest network analysis of food landscape to date, and developing an agent-based model to help planners in tackling the childhood obesity in England.

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