Tina Eliassi-Rad is currently an assistant professor of computer science at Rutgers University. Her research has been primarily focused on machine learning, data mining, and artificial intelligence. She earned her PHD in computer science in 2001 from the University of Wisconsin-Madison, and has gone on to published over 70 peer-reviewed papers and has given over 100 presentations, and was awarded an outstanding mentor award in 2010 from the United States Department of Energy. She is also an editor for the Data Mining and Knowledge Discovery Journal and a member of the editorial board for the Springer Encyclopedia of Machine Learning and Data Mining.
Her work has gone a long way, and has impacted many things in the world of computer science, including the World Wide Web and much more. Her current research is about the intersection of graph mining, network science, and computational social science. With such great knowledge and experience of her field of computer science, there is no surprise that she has had such a great career as a professor and assistant professor. She has taught twelve courses during her time as associate professor and professor at a number of universities and colleges.
With her knowledge and understanding of such complex topics and issues in the field of data and computer science in general, she has had many of her own work included in and on many government systems and company platforms. A number of her own algorithms have been integrated into systems used by the government and industry like IBM System, G Graph Analytic, as well as into some open-source software like the Stanford Network Analysis Project.
With so much success already gained on her part, I can’t imagine what she will conquer and further advance next.