Artificial Intelligence and Robotics

Aylin

Aylin Caliskan

Assistant Professor

Department: Computer Science
Phone: (202) 994-5919
Email: [email protected]
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Research Interest: Dr. Caliskan's research interests include the emerging science of bias in machine learning, fairness in artificial intelligence, data privacy, and security. Her work aims to characterize and quantify aspects of natural and artificial intelligence using a multitude of machine learning and language processing techniques. In her recent publication in Science, she demonstrated how semantics derived from language corpora contain human-like biases. Prior to that, she developed novel privacy attacks to de-anonymize programmers using code stylometry. Her presentations on both de-anonymization and bias in machine learning are the recipients of best talk awards. Her work on semi-automated anonymization of writing style furthermore received the Privacy Enhancing Technologies Symposium Best Paper Award. Her research has received extensive press coverage across the globe. Aylin holds a PhD in Computer Science from Drexel University and a Master of Science in Robotics from the University of Pennsylvania. Before joining the faculty at The George Washington University, she was a postdoctoral researcher and a fellow at Princeton University's Center for Information Technology Policy.


Mona Diab

Professor

Department: Computer Science
Phone: (202) 994-8109
Email: [email protected]
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Research Interest: Professor Diab conducts research in Statistical Natural Language Processing (NLP) is a rapidly growing, exciting field of research in artificial intelligence and computer science. Interdisciplinarity is inherent to NLP, drawing on the fields of computer algorithms, software engineering, statistics, machine learning, linguistics, pragmatics, information technology, etc. In NLP, we model language and its use. We build both analytical models and predictive ones. In Professor Mona Diab's NLP lab, we address problems in social media processing, building robust enabling technologies such as syntactic and semantic processing tools for written texts in different languages, information extraction tools for large data, multilingual processing, machine translation, and computational sociolinguistic processing. Professor Diab has a special interest in Arabic NLP, where the emphasis has been on investigating Arabic dialect processing where there are very few available automated resources.


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Robert Pless

Department Chair and Professor

Department: Computer Science
Phone: (202) 994-6779
Email: [email protected]
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Research Interest: Professor Robert Pless conducts research in the area of computer vision with applications to environmental science, medical imaging, robotics and virtual reality.  He is particularly interested in studying data-driven and geometric techniques to more robustly understand images taken “in the wild.”  This research exploits the fact that cameras are incredibly precise measurement systems: if they are calibrated properly, then the vast quantities of visual data they collect can help us learn, understand, and manipulate the world around us. At a high level, the current themes of research in his lab are: understanding visual change at scales from the sidewalk to the planet, studying next generation imaging systems for virtual reality and robotics, and democratizing visual analytics with applications to social justice.


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Abdou Youssef

Professor

Department: Computer Science
Phone: (202) 994-4953
Email: [email protected]
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Research Interest: Professor Abdou Youssef's research interests are search and retrieval, audio-visual data processing, pattern recognition, data error recovery, theory and algorithms. He and his students developed a system for the Federal government to recover from fax errors without retransmission. Recently, he has created for NIST a new math-search engine for its Digital Library of Mathematical Functions (DLMF) intended for scientists, engineers, and all users of mathematics; this search engine is first of its kind and is deployed online at http://dlmf.nist.gov/. Currently, his students and he are working on sentiment-detection in documents that involve reviews of medical devices/procedures and other types of reviews, as well as developing sophistical mathematical search techniques that enable knowledge discovery.