Parisa Kordjamshidi
Phone: (517) 355-8389
Room: 2140
Postal: Engineering Building 428 S. Shaw Lane, East Lansing, MI 48824.
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Parisa Kordjamshidi

If you are interested in doing a PhD or Post-doc in Machine Learning, Natural Language Processing, Information extraction, Combining vision and language, Grounding, and Declarative Learning-based Programming, please send me an Email.

About me

I joined Michigan State University as an assistant professor of computer science and Engineering on August 2019. I am affiliated with IHMC as a research scientist from July 2016. My main research interests are artificial intelligence, machine learning, natural language processing, and declarative learning based programming (DeLBP). I am directing the research lab on Heterogeneous Learning and Reasoning (HLR). I have worked on the extraction of formal semantics and structured representations from natural language, with a specific focus on spatial semantics representation and structured output learning models. I obtained an NSF CAREER award in Feb 2019 to work on combining learning and reasoning for spatial language understanding. I am the leading PI of a project funded by the Office of Naval Research (ONR) to perform basic research and develop a declarative learning-based programming framework for integration of domain knowledge into statistical learning (DominKnowS project, 2019-2022). DeLBP facilitates programming for building systems that require a number of learning and reasoning components that interact with each other and receive data from heterogeneous resources. Such a framework/language would help machine learning researchers as well as experts in various domains who are not experts in machine learning, to design complex intelligent systems and evaluate them.
I received my PhD from KU Leuven in 2013. I was a post-doc in UIUC in Cognitive Computation Group and was working for KnowEng, Big Data To Knowledge Project. Before joining MSU, I was assistant professor at Tulane university from 2016-2019. I am a member of Editorial board of Journal of Artificial Intelligence Research (JAIR) and a member of Editorial board of Machine Learning and Artificial Intelligence, part of the journal Frontiers in Artificial Intelligence and Frontiers in Big Data. I have published, served as program committee and organized several international workshops in conferences such as IJCAI, AAAI, ACL, NAACL COLING and ECAI. I served as a member of organizing committees of NAACL-2018 and ECML-PKDD-2019 conferences.

Research Interests

Artificial Intelligence, Machine Learning, Natural Language Processing, Extraction of Spatial Semantics from Natural Language Text, Information Extraction from Biomedical Text, Structured Output Prediction Models, Probabilistic Graphical Models, Statistical Relational Learning, Learning Based Programming, Probabilistic Programming.