Master of Science in Artificial Intelligence (AI)
WPI Professor Elke Rundensteiner works with students on an NSF-funded project on fairness in artificial intelligence.
Professor Elke Rundensteiner Speaks with BestColleges
Elke Rundensteiner, a WPI professor of computer science, told BestColleges that WPI is uniquely positioned to help students excel in the rapidly changing AI landscape.
"In some sense, we've been doing that for the last 50 years ... When I came to WPI 30 years ago, we had already the AI course itself."
Meet Our World-Class Faculty
As founding Head of the interdisciplinary Data Science program here at WPI, I take great pleasure in doing all in my power to support the Data Science community in all its facets from research collaborations, and new educational initiatives to our innovative industry-sponsored and mentored Graduate Qualifying projects at the graduate level.
Dr. Lee’s research interests are in information retrieval, natural language processing, social computing, machine learning, and cybersecurity over large-scale networked information systems like the Web and social media. He focuses on threats to these systems and design methods to mitigate negative behaviors (e.g., misinformation, hate speech), and looks for positive opportunities to mine and analyze these systems for developing next generation algorithms and architectures (e.g., recommender system, natural language understanding).
Professor Kong’s research interests focus on data mining and machine learning, with emphasis on addressing the data science problems in biomedical and social applications. Data today involves an increasing number of data types that need to be handled differently from conventional data records, and an increasing number of data sources that need to be fused together. Dr. Kong is particularly interested in designing algorithms to tame data variety issues in various research fields, such as biomedical research, social computing, neuroscience, and business intelligence.
The focus of my research is designing innovative tools for swarm robotics. I am developing Buzz, a programming language specifically designed for real-world robot swarms. During my Ph.D., I have designed ARGoS, which is currently the fastest general-purpose robot simulator in the literature. Recent work focuses on human-swarm interaction and multi-robot learning. I am also working on swarm robotics solutions for disaster response scenarios, such as search-and-rescue and firefighting.
Carolina Ruiz is the Associate Dean of Arts and Sciences and the Harold L. Jurist ’61 and Heather E. Jurist Dean's Professor of Computer Science. She joined the WPI faculty in 1997. Prof. Ruiz’s research is in Artificial Intelligence, Machine Learning, and Data Mining, and their applications to Medicine and Health. She has worked on several clinical domains including sleep, stroke, obesity and pancreatic cancer. Prof.
Dr. Xiaozhong Liu is an Associate Professor at Computer Science and Data Science, WPI. Before that, he was Associate Professor at School of Informatics, Computing and Engineering Indiana University Bloomington. His research interests include natural language processing (NLP), text/graph mining, information retrieval/recommendation, metadata, and computational social science. His dissertation at Syracuse University (advisor Dr. Elizabeth D. Liddy) explored an innovative ranking method that weighted the retrieved results by leveraging dynamic community interests.
My research interests are in applied machine learning, computer vision, data science and their applications to education, affective computing, and human behavior recognition. My work is highly interdisciplinary and frequently intersects cognitive science, psychology, and education. Before joining WPI, I was a research scientist at the Office of the Vice Provost for Advances in Learning at Harvard University. In 2012, I co-founded Emotient, a San Diego-based startup company for automatic emotion and facial expression recognition.
