Jayasankar Santhosh

Jayasankar Santhosh received his Master's degree in Computer Science from TU Kaiserslautern, specialized in Artificial Intelligence. He was also working as a Research Assistant in DFKI during his Master's studies. After completing the Master's, He started working as a Ph.D. Researcher in DFKI from November 2019.

His topic of research is "Deep Learning Based Learning Analytics and Augmentation." It is focused on investigating how Deep Learning approaches could benefit in analyzing learning in an educational domain. His major objective is to examine state-of-the-art deep neural networks and provide a novel technique for successfully assessing student involvement in learning and suggesting a long-term intervention of the feedback mechanism to determine the variation in learning performance in students. He is working under the guidance of Dr. Shoya Ishimaru and Prof. Dr. Prof. h.c. Andreas Dengel.

Projects

Publications

  1. Pramod Vadiraja, Jayasankar Santhosh, Hanane Moulay, Andreas Dengel and Shoya Ishimaru. “Effects of Counting Seconds in the Mind while Reading”. In Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication (UbiComp '21 Adjunct), pp. 486–490, 2021.
  2. Prerna Garg, Jayasankar Santhosh, Andreas Dengel and Shoya Ishimaru. “Stress Detection by Machine Learning and Wearable Sensors”. In Proceedings of the 26th International Conference on Intelligent User Interfaces Companion (IUI '21), pp. 237–240, 2021.
  3. Jayasankar Santhosh, Shoya Ishimaru and Andreas Dengel. “Generating Heatmap for Unknown Documents Towards Readability Measurement”. In Proceedings of the 25th International Conference on Intelligent User Interfaces Companion (IUI '20), pp. 47–48, 2020.
  4. Jayasankar Santhosh, Shoya Ishimaru and Andreas Dengel. “Estimating Fixation Durations for Each Word in Documents towards Readability Measurement”. In Proceedings of the 1st international interdisciplinary Symposium on Reading Experience and Analysis of Documents (READ '18), 2018.