Preprints

1. Dang, J., & Ferguson, B. (2026). Assessing Social Conversation in Autism Spectrum Disorder Through Lexical and Syntactic Pipeline Analysis​. Manuscript in preparation.

   BIB

   @unpublished{dang2026project1,
     title = {Assessing Social Conversation in Autism Spectrum Disorder Through Lexical and Syntactic Pipeline Analysis​},
     author = {Dang, J. and Ferguson, B.},
     year = {2026},
     note = {Manuscript in preparation}
   }
   

Refereed Conference Proceedings

1. Nafee, K. S., Wang, F., Cai, A., Panapakam, V. K., Ziadeh, Y., Dang, J., Beversdorf, D., & Ferguson, B. (2026). Validation of Smartwatch-Based Pulse Rate Variability Metrics for HRV Assessment. IEEE-EMBS International Conference on Biomedical and Health Informatics. Submitted. Hong Kong, China

   BIB Abstract

   @inproceedings{nafee2026validation,
     title = {Validation of Smartwatch-Based Pulse Rate Variability Metrics for HRV Assessment},
     author = {Nafee, K. S. and Wang, F. and Cai, A. and Panapakam, V. K. and Ziadeh, Y. and Dang, J. and Beversdorf, D. and Ferguson, B.},
     booktitle = {IEEE-EMBS International Conference on Biomedical and Health Informatics},
     address = {Hong Kong, China},
     year = {2026},
     note = {Submitted}
   }
   

   Heart rate variability (HRV) is traditionally derived from electrocardiogram (ECG) data and serves as a noninvasive marker of autonomic nervous system activity. While modern smartwatches enable real-time pulse rate variability (PRV) monitoring via photoplethysmography (PPG), the reliability and interchangeability of these smartwatch-derived metrics remain uncertain. In this study, we first evaluated our custom PRV pipeline against Kubios Scientific HRV using gold-standard BIOPAC ECG data. We then compared Apple Watch 8- and Samsung Watch 8-derived PRV metrics from our pipeline against same-session BIOPAC ECG metrics from Kubios. Seven participants (five male, two female) contributed four 15-minute sessions each, yielding 28 segment pairs per comparison. A total of 15 time-domain and 18 frequency-domain HRV metrics were computed using Kubios-aligned algorithms. Agreement was evaluated using Pearson correlation for similarity and Bland-Altman agreement analysis for interchangeability. For BIOPAC ECG data, our pipeline showed Pearson correlations greater than 0.85 for 9 of 15 time-domain metrics and 15 of 18 frequency-domain metrics against Kubios results. For smartwatch interchangeability, a two-step procedure (Pearson r ≥ 0.70 screening and Bland-Altman agreement against an a priori limit of agreement) showed that 16/33 Apple Watch and 10/33 Samsung Watch metrics agreed with the Kubios ECG reference under the permissive 150% criterion, and 6/33 and 4/33, respectively, under the stricter 110% criterion. These preliminary results show that our PRV analysis pipeline aligns closely with Kubios, while smartwatch interchangeability is metric- and smartwatch-specific rather than universal.

2. Dang, J., Hirni, M., Vulchanova, M., & Larson, C. (2026). Spatial cognition versus language: What best differentiates autistic and neurotypical individuals? The Annual Meeting of the International Society for Autism Research (INSAR). Poster presentation. Prague, Czech Republic

   BIB

   @inproceedings{larson2026spatial,
     title = {Spatial cognition versus language: What best differentiates autistic and neurotypical individuals?},
     author = {Dang, J. and Hirni, M. and Vulchanova, M. and Larson, C.},
     booktitle = {The Annual Meeting of the International Society for Autism Research (INSAR)},
     address = {Prague, Czech Republic},
     year = {2026},
     note = {Poster presentation}
   }
   

3. Dang, J., & Wang, M. (2023). Effect of Timing of the Model Text on Alignment in the Continuation Translation Task. Proceedings of the 9th Annual UC Davis Symposium on Language Research. Best Abstract Award. California, United States

   PDF Link BIB

   @inproceedings{dang2023effecu,
     title = {Effect of Timing of the Model Text on Alignment in the Continuation Translation Task},
     author = {Dang, J. and Wang, M.},
     booktitle = {Proceedings of the 9th Annual UC Davis Symposium on Language Research},
     address = {California, United States},
     year = {2023},
     file = {jade2023effect.pdf},
     note = {Best Abstract Award},
     url = {https://sites.google.com/view/languagecluster/symposium/awards}
   }