Information for New Ph.D. Applicants

Professor Biswas currently performs research in two major areas:

Current topics of interest in this area include
Application Areas

Smart Buildings, UAV, Aircraft and Spacecraft Systems

Students with strong analytic abilities, a background in machine learning and artificial intellgence, 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
  • Design and Development of Open Ended Learning Environments for STEM and Engineering Education
  • Multi-agent systems to support social & constructivist models for learning
  • Exploiting the synergies between Computational Thinking and STEM Learning
  • Metacognition and Self Regulated Learning
  • Adaptive Scaffolding to Support Self Regulation Processes
  • Performance Evaluation in Complex Training Environments
  • Multimodal Learning Analytics and Educational Data Mining
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, Machine Learning, and the Learning Sciences and Learning Technologies 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 self regulation strategies as they work in the learning environments. The group also has a strong emphasis on multi modal 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