Poster: Maestro - An Ambient Sensing Platform With Active Learning To Enable Smart Applications. - Tahiya Chowdhury; Murtadha Aldeer; Shantanu Laghate; Justin Yu; Qizhen Ding; Joseph Florentine; Jorge Ortiz 001 (EWSN, 2021)

Towards Reducing Labeling Efforts in IoT-based Machine Learning Systems: PhD Forum Abstract. - Tahiya Chowdhury (IPSN, 2021)

A smart agent guided contactless data collection system amid a pandemic. - Murtadha Aldeer; Justin Yu; Tahiya Chowdhury; Joseph Florentine; Jakub Kolodziejski; Richard E. Howard; Richard P. Martin; Jorge Ortiz 001 (MobiSys, 2021)

Towards sensing urban-scale COVID-19 policy compliance in new york city. - Tahiya Chowdhury; Ansh Bhatti; Ilan Mandel; Taqiya Ehsan; Wendy Ju; Jorge Ortiz 001 (BuildSys, 2021)

Tracking urban heartbeat and policy compliance through vision and language-based sensing. - Tahiya Chowdhury; Qizhen Ding; Ilan Mandel; Wendy Ju; Jorge Ortiz 001 (BuildSys, 2021)

The smart building privacy challenge. - Tong Wu 012; Murtadha Aldeer; Tahiya Chowdhury; Amber Haynes; Fateme Nikseresht; Mahsa Pahlavikhah Varnosfaderani; Jiechao Gao; Arsalan Heydarian; Brad Campbell; Jorge Ortiz 001 (BuildSys, 2021)

The Other Side of Black Screen: Rethinking Interaction in Synchronous Remote Learning for Collaborative Programming. - Tahiya Chowdhury (CoRR, 2021)

Cadence: A Practical Time-series Partitioning Algorithm for Unlabeled IoT Sensor Streams. - Tahiya Chowdhury; Murtadha Aldeer; Shantanu Laghate; Jorge Ortiz 001 (CoRR, 2021)

Language in the Time of COVID: Sensitivity of Linguistic Alignment to Conversation Type and Communication Modality. - Alexandra Paxton; Tahiya Chowdhury; Verónica Romero 002 (CogSci, 2023)

Putting interaction center-stage for the study of knowledge structures and processes. - Joanna Raczaszek-Leonardi; Kristian Tylén; Mark Dingemanse; Linda Smith 002; Hadar Karmazyn Raz; Nicholas J. Enfield; Rachel W. Kallen; Michael J. Richardson; Verónica Romero 002; Tahiya Chowdhury; Alexandra Paxton; Julian Zubek (CogSci, 2023)

Parameter Selection for Analyzing Conversations with Autism Spectrum Disorder. - Tahiya Chowdhury; Verónica Romero 002; Amanda Stent (INTERSPEECH, 2023)

Towards Goldilocks Zone in Child-centered AI. - Tahiya Chowdhury (CoRR, 2023)

Designing A Sustainable Marine Debris Clean-up Framework without Human Labels. - Raymond Wang; Nicholas R. Record; D. Whitney King; Tahiya Chowdhury (COMPASS, 2024)

Towards Multimodality: Comparing Quantifications of Movement Coordination. - Chengyu Fan; Verónica Romero 002; Alexandra Paxton; Tahiya Chowdhury (ICMI Companion, 2024)

Designing a User-centric Framework for Information Quality Ranking of Large-scale Street View Images. - Tahiya Chowdhury; Ilan Mandel; Jorge Ortiz 001; Wendy Ju (CoRR, 2024)

Computational Thinking with Computer Vision: Developing AI Competency in an Introductory Computer Science Course. - Tahiya Chowdhury (AAAI, 2025)

Evaluating Open-Source ASR Systems: Performance Across Diverse Audio Conditions and Error Correction Methods. - Saki Imai; Tahiya Chowdhury; Amanda J. Stent (COLING, 2025)

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling. - Tahiya Chowdhury; Verónica Romero 002 (CoRR, 2025)