Publications

1. Tahiya Chowdhury, Veronica Romero, and Amanda Stent. Parameter Selection for Analyzing Conversations with Autism Spectrum Disorder. Proceedings of 24th INTERSPEECH Conference (Interspeech 2023). (accepted)

2. Tahiya Chowdhury, Veronica Romero, and Amanda Stent. Interactional coordination between conversation partners  with autism using non-verbal cues in dialogues. Proceedings of 24th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL 2023). (accepted)

3. Alexandra Paxton, Tahiya Chowdhury, and Veronica Romero. Language in the Time of COVID: Sensitivity of Linguistic Alignment to Conversation Type and Communication Modality. Proceedings of the Annual Meeting of the Cognitive Science Society (CogSci 2023). (paper link)

4. Tahiya Chowdhury. 2023. Towards Goldilocks Zone in Child-centered AI. CCAI 2023, CHI 2023 Workshop on Child-centred AI Design: Definition, Operation and Considerations (CHI 2023). (paper link)

5. Tahiya Chowdhury, Qizhen Ding, Ilan Mandel, Wendy Ju, and Jorge Ortiz. 2021.Tracking Urban Heartbeat and Policy Compliance through Vision and Language-based Sensing. Proceedings of the 8th ACM Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys 2021). (paper link)

6. Tahiya Chowdhury, Ansh Bhatti, Ilan Mandel, Taqiya Ehsan, Wendy Ju, and Jorge Ortiz. 2021. Towards Sensing Urban-scale COVID-19 Policy Compliance in New York City. Proceedings of the 8th ACM Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys 2021). (paper link)

7. Tahiya Chowdhury, Murtadha Aldeer, Justin Yu, and Jorge Ortiz. 2021. Is General Purpose Sensing a Pipe Dream? A Case Study in Ambient Multi-sensing for Human Activity Recognition. In Proceedings of the First International Workshop on Cyber-Physical-Human System Design and Implementation (CPHS 2021). (paper link)

8. Tahiya Chowdhury, Shantanu Laghate, Murtadha Aldeer, and Jorge Ortiz. Cadence: A practical time series segmentation algorithm for unlabeled sensor streams. (under review) (paper link)

9. Tahiya Chowdhury. The Other Side of Black Screen: Rethinking Interaction in Synchronous Remote Learning for Collaborative Programming. (under review) (paper link)

10. Tahiya Chowdhury. Modeling Locking Adoption Behavior of Android Phone Users. (Technical Report)

Posters

1. Tong Wu, Murtadha Aldeer, Tahiya Chowdhury, Amber Haynes, Fateme Nikseresht, Mahsa Pahlavikhah Varnosfaderani, Jiechao Gao, Arsalan Heydarian, Brad Campbell, and Jorge Ortiz. 2021. The smart building privacy challenge. In Proceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys '21). (link)

2. Murtadha Aldeer, Justin Yu, Tahiya Chowdhury, Joseph Florentine, Jakub Kolodziejski, Richard E. Howard, Richard P. Martin, and Jorge Ortiz. 2021. A smart agent guided contactless data collection system amid a pandemic. In Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys '21). (link)

3. Tahiya Chowdhury. 2021. Towards Reducing Labeling Efforts in IoT-based Machine Learning Systems: PhD Forum Abstract. In Proceedings of the 20th International Conference on Information Processing in Sensor Networks (co-located with CPS-IoT Week 2021) (IPSN '21). (link)

4. Tahiya Chowdhury, Murtadha Aldeer, Shantanu Laghate, Justin Yu, Qizhen Ding, Joseph Florentine, and Jorge Ortiz. 2021. Maestro-An Ambient Sensing Platform With Active Learning To Enable Smart Applications." In Proceedings of International Conference on Embedded Wireless Systems and Networks (EWSN '21). (link)

Talks

1. First ACM SIGEnergy Workshop on Fair, Accountable, Transparent, and Ethical (FATE) AI for Smart Environments and Energy Systems (FATEsys ‘21), Coimbra, Portugal.

Title: Tracking urban heartbeat and policy compliance through vision and language-based sensing.

2. First ACM International Workshop on Big Data and Machine Learning for Smart Buildings and Cities (ACM-BALANCES ‘21), Coimbra, Portugal.

      Title: Towards sensing urban-scale COVID-19 policy compliance in New York City.

3. First International Workshop on Cyber-Physical-Human System Design and Implementation (CPHS ‘21), Milan, Italy.

     Title: Is general purpose sensing a pipe dream? A case study in ambient multi-sensing for human activity  recognition.

4. 20th International Conference on Information Processing in Sensor Networks (IPSN '21), Nashville, TN, USA.

      Title: Towards Reducing Labeling Efforts in IoT-based Machine Learning Systems.

5. Society of Women Engineers (SWE) STEM Outreach Program ‘20, Rutgers University, NJ, USA.

     Title: Machine learning in human sensing in smart environments (Invited Talk).

6. 2nd Annual Machine Learning in Science and Engineering (MLSE ‘19), Atlanta, GA, USA. 

     Title: Change-point detection in time series using deep learning.

7. ACM Tapia Conference (Tapia ‘19), San Diego, CA, USA

     Title: Change-point detection in time series using deep autoencoders.