Kshitij Sharma

Total Papers
2
HCI Rank
#6448
Research Areas
1
Years Active
2

Personal Information

  • KeywordsHuman-Computer InteractionApplied Machine LearningArtificial IntelligenceCollaborative LearningMultimodal Learning Analytics
  • OrganizationNorwegian University of Science and Technology (NTNU)
  • Education (Institution)École Polytechnique Fédérale de Lausanne (EPFL)
  • EmailNot disclosed

Social Media & Links

Biography

Kshitij Sharma is an Associate Professor at the Norwegian University of Science and Technology (NTNU), specializing in human-computer interaction, applied machine learning, and collaborative learning. His research focuses on analyzing user behavior and learning experiences through multimodal data such as eye-tracking, EEG, and facial expressions to optimize educational technologies and system design. After completing his Ph.D. at École Polytechnique Fédérale de Lausanne (EPFL), he further expanded his research expertise to include areas like e-commerce, information systems, and entertainment computing. His research aims to provide deep insights and adaptive improvements for educational systems and other technology applications by understanding the relationship between technology and user behavior.

Work Experience

  • 2020–Present·Norwegian University of Science and Technology (NTNU)·Associate Professor
    • Researching multimodal learning analytics, developing sensor-based learning feedback technologies, and optimizing educational systems.
  • 2015–2020·École Polytechnique Fédérale de Lausanne (EPFL)·Postdoctoral Researcher
    • Investigated outlier data in collaborative work using extreme value theory and explored the applications of multimodal data in educational technologies.

Education

  • 2015·École Polytechnique Fédérale de Lausanne (EPFL)·Ph.D.
    • Specialized in collaborative learning and multimodal data analytics.
  • Undergraduate and Master's information not disclosed

This biography was generated by AI from publicly available information and may contain delays or inaccuracies.

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