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Niharika Jain
Dr. Niharika JainMarquette University

Cudahy Hall, 240G

MilwaukeeWI53201United States of America
(414) 288-6472

Adjunct Assistant Professor

Department of Computer Science

Courses Taught

  • Data Structures (COSC 2100, COSC 3100)
  • Object-oriented Software Design (COSC 1020)
  • Introduction to Software Development (COSC 1010)
  • Introduction to Computer Science (COSC 1000)
  • Nature of Mathematics (MATH 1300)
  • Calculus Courses (MATH 1400, 1410, 1450, 1455)
  • Elementary Statistics (MATH 1700)

Research Interests

  • Affective Computing
  • Data Analysis
  • Machine Learning
  • mHealth

Publications

  • Annapureddy, P., Hossain, F., Kissane, T., Frydrychowicz, W., Paromita, N., Coelho, J., Johnson, N., Madiraju, P., Franco, Z., Hooyer, K., Jain, N., Flower, M., Ahamed, S. (2020). Predicting PTSD Severity in Veterans from Self-reports for Early Intervention: A Machine Learning Approach. Information Reuse and Integration for Data Science (IRI 2020). (In press)
  • Hossain, F., Kissane, T., Annapureddy, P., Frydrychowicz, W., Ahamed, S., Bansal, N., Madiraju, P., Jain, N., Flower, M., Hooyer, K., Rein, L., Franco, Z. (2020). Implementing Algorithmic Crisis Alerts in mHealth Systems for Veterans with PTSD. ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management. (In press)
  • Jain, N., Ahamed, S. I., Bozdag, S., Dolan, B. K., McVey, A. J., Willar, K. S., … Hecke, A. V. V. (2019). Have It, Know It, but Don’t Show It: Examining Physiological Arousal, Anxiety, and Facial Expressions over the Course of a Social Skills Intervention for Autistic Adolescents. BioRxiv, 582676. https://doi.org/10.1101/582676
  • Jain, N., Ahamed, S., Stevens, S., Schohl, K.A., Dolan, B., McVey, A.J., Potts, S., Casnar, C.L., Caiozzo, C., Vogt, E.M., & Van Hecke, A.V. (2015). Physiological monitoring during PEERS®: A "culture-free" method of understanding intervention response. Poster at International Meeting of Autism Research (IMFAR), May 14-16, 2015, Utah, USA.
  • Zaffke, A., Jain, N., Johnson, N., Alam, M. A. U., Magiera, M., & Ahamed, S. I. (2015). iCanLearn: A mobile application for creating flashcards and social stories™ for children with autism. Smart homes and health telematics (pp. 225-230) Springer.
  • Adibuzzaman, M., Jain, N., Steinhafel, N., Haque, M., Ahmed, F., Ahamed, S., & Love, R. (2013). In situ affect detection in mobile devices: A multimodal approach for advertisement using social network. ACM SIGAPP Applied Computing Review, 13(4), 67-77.
  • Adibuzzaman, M., Jain, N., Steinhafel, N., Haque, M., Ahmed, F., Ahamed, S. I., & Love, R. (2013). Towards in situ affect detection in mobile devices: A multimodal approach. Proceedings of the 2013 Research in Adaptive and Convergent Systems, 454-460. (2013 Best Paper Award)
  • Haque, M. M., Adibuzzaman, M., Polyak, D., Jain, N., Ahamed, S. I., & Liu, L. (2011). IRENE: Context aware mood sharing for social network. Service-Oriented Computing and Applications (SOCA), 2011 IEEE International Conference On, 1-8.

Faculty & Staff Directory


CONTACT

Department of Computer Science
Katharine R. Cudahy Hall, Room 201
1313 W. Wisconsin Avenue
Milwaukee WI 53233
(414) 288-8600

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