Information for New Ph.D. Applicants

Professor Biswas currently performs research in two major areas:

Current topics of interest in this area include

Students with strong analytic abilities, a background in modeling and simulation, and an interest in diagnostics, prognostics, control, and decision making in complex, embedded systems are encouraged to apply. Student applicants in Computer Science and Electrical Engineering (or other Engineering disciplines with a good computational background) are welcome.

Please contact Professor Biswas if you have a strong interest in doing research in these areas.

Research Assistantships are available for strong candidates.


Current topics of interest in this area include
Students with strong interdisciplinary research interests in Computer Science, Cognitive Science, and the Learning Sciences are encouraged to apply. Software engineering skills are also important. Research in this area combines ideas in Aritificial Intelligence and the Learning Sciences and Learning Technology to develop student-centered open-ended learning environments to support K-12 STEM learning and undergraduate education in Computer Science and Engineering. There is a strong focus on helping learnerts develop cognitive skills and metacognitive learning strategies as they work in the learning environments. The group also has a strong emphasis on data analytics and educational data mining to analyze students' learning behaviors and to inform the scaffolding framework required to support deep student learning.

Please contact Professor Biswas if you have a strong interest in doing research in these areas.


Research Assistantships are available for strong candidates.


Dr. Biswas's Homepage