Aria Khademi | College of Information Sciences and Technology
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Aria Khademi

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Aria Khademi
Title(s):
  • IST Ph.D. Student (Adviser: Vasant Honavar, Cohort: Fall 2015)

Contact:
Education:
  • Ph.D., Information Sciences and Technology (in progress)

  • Graduate minor, in Statistics (in progress)

  • M.S., Artificial Intelligence, Kharazmi University, 2015

  • B.S., Computer Software Engineering, Iran University of Science and Technology, 2013

Biography:

I am a PhD candidate at the college of Information Sciences and Technology and am also working towards a Graduate minor in Statistics both at Penn State University. My advisor is Dr. Vasant Honavar. Before joining Penn State, I received my Master’s and Bachelor’s in artificial intelligence and computer software engineering, respectively. Currently, I am a member of the Artificial Intelligence Research Lab and a researcher at the Biomedical Big Data Training Program. You can find my cv here.

Research Interests:

Machine Learning, Causal Inference, Big Data

Causal inference:

I focus on design, application, and analysis of automated algorithms and machine learning methods for temporal causal inference from big data (working on papers, coming soon).

Machine learning in sleep health:

I am collaborating with Dr. Orfeu Buxton to come up with reliable machine learning algorithms that are able to cope with analysis of sleep disorders and circadian rhythms from various types of data.

Machine learning and extreme value statistics:

I am working with Dr. Ben Shaby to use extreme value theory in developing functions for class probability estimation in machine learning applications when some event is rare (working on papers, this one might take some while).

Machine learning in biology:

I am involved in statistical analysis of temporal microbiome data.

Publications:
  • Khademi A, El-Manzalawy Y, Buxton O, Honavar V (2018) Toward Personalized Sleep-Wake Prediction from Actigraphy. IEEE International Conference on Biomedical and Health Informatics (in press).