Ehsanul Haque Nirjhar

Ehsanul Haque Nirjhar

Recent Graduate (PhD in Computer Science) from Texas A&M University

Journal Papers

  1. E. H. Nirjhar, and T. Chaspari, “Modeling Gold Standard Moment-to-Moment Ratings of Perception of Stress from Audio Recordings,” to appear in IEEE Transactions on Affective Computing, 2024.
  2. M. N. Sakib, E. Hagen, N. Mazza, N. Rani, E. H. Nirjhar, S. L. Chu, T. Chaspari, A. Behzadan, and W. Arthur Jr., “Capitalizing on Strengths and Minimizing Weaknesses of Veterans in Civilian Employment Interviews: Perceptions of Interviewers and Veteran Interviewees,” Military Psychology, pp. 1–13, 2024.
  3. A. A. Tutul, E. H. Nirjhar, and T. Chaspari, “Investigating Trust in Human-AI Collaboration for a Speech-based Data Analytics Task,” International Journal of Human-Computer Interaction, pp. 1–19, 2024.
  4. E. H. Nirjhar, J. Kim, J. F. Winslow, T. Chaspari, and C. R. Ahn, “Sensor-based detection of individual walkability perception to promote healthy communities,” Smart Health, p.100414, 2023.
  5. J. Kim, E. H. Nirjhar, H. Lee, T. Chaspari, C. Lee, Y. Ham, J. F. Winslow, and C. R. Ahn, “Location-based collective distress using large-scale biosignals in real life for walkable built environments,” Scientific reports, vol. 13, no.1, p. 5940, 2023.
  6. J. Kim, E. H. Nirjhar, J. Kim, T. Chaspari, Y. Ham, J. F. Winslow, C. Lee, and C. R. Ahn, “Capturing environmental distress of pedestrians using multimodal data: The interplay of biosignals and image-based data,” Journal of Computing in Civil Engineering, vol. 36, no. 2, p. 04021039, 2022.
  7. M. Yadav, M. N. Sakib, E. H. Nirjhar, K. Feng, A. Behzadan, and T. Chaspari, “Exploring individual differences of public speaking anxiety in real-life and virtual presentations,” IEEE Transactions on Affective Computing, vol. 13, no. 3, pp. 1168–1182, 2022.

Conference Papers

  1. E. H. Nirjhar, W. Arthur Jr., and T. Chaspari, “Perception of Stress: A Comparative Multimodal Analysis of Time-Continuous Stress Ratings from Self and Observers,” accepted in International Conference on Multimodal Interaction, 2021.
  2. E. H. Nirjhar, M. N. Sakib, E. Hagen, N. Rani, S. L. Chu, W. Arthur Jr., A. Behzadan, and T. Chaspari, “Investigating the Interplay Between Self-Reported and Bio-Behavioral Measures of Stress: A Pilot Study of Civilian Job Interviews with Military Veterans,” in 2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII), IEEE, 2022, pp. 1–8.
  3. J. Raether, E. H. Nirjhar, and T. Chaspari, “Evaluating Just-In-Time Vibrotactile Feedback for Communication Anxiety,” in Proceedings of the 2022 International Conference on Multimodal Interaction, 2022, pp. 117–127.
  4. E. H. Nirjhar, A. Behzadan, and T. Chaspari, “Knowledge- and Data-Driven Models of Multimodal Trajectories of Public Speaking Anxiety in Real and Virtual Settings,” in Proceedings of the 2021 International Conference on Multimodal Interaction, 2021, pp. 712–716.
  5. A. A. Tutul, E. H. Nirjhar, and T. Chaspari, “Investigating Trust in Human-Machine Learning Collaboration: A Pilot Study on Estimating Public Anxiety from Speech,” in Proceedings of the 2021 International Conference on Multimodal Interaction, 2021, pp. 288–296.
  6. M. von Ebers, E. H. Nirjhar, A. H. Behzadan, and T. Chaspari, “Predicting the effectiveness of systematic desensitization through virtual reality for mitigating public speaking anxiety,” in Proceedings of the 2020 International Conference on Multimodal Interaction, 2020, pp. 670–674.
  7. E. H. Nirjhar, A. Behzadan, and T. Chaspari, “Exploring bio-behavioral signal trajectories of state anxiety during public speaking,” in ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2020, pp. 1294–1298.

Workshop/Doctoral Consortium Papers

  1. E. H. Nirjhar, “Expression and Perception of Stress Through the Lens of Multimodal Signals: A Case Study in Interpersonal Communication Settings,” in 2023 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)}, IEEE, 2023.
  2. R. D. Verrap, E. H. Nirjhar, A. Nenkova, and T. Chaspari, ““Am I Answering My Job Interview Questions Right?”: A NLP Approach to Predict Degree of Explanation in Job Interview Responses,” in Proceedings of the Second Workshop on NLP for Positive Impact (NLP4PI), 2022, pp. 122–129.
  3. J. Kim, D. Yang, E. H. Nirjhar, C. R. Ahn and T. Chaspari, “Explainable Prediction of Pedestrians’ Distress in the Urban Built Environment,” in 2022 56th Asilomar Conference on Signals, Systems, and Computers, IEEE, 2022, pp. 985–988.
  4. A. M. Pena, E. H. Nirjhar, A. Pachuilo, T. Chaspari, and E. D. Ragan, “Detecting changes in user behavior to understand interaction provenance during visual data analysis,” in IUI Workshops, 2019.