HUBBS Lab PhD student presenting his research on predicting team functioning in space exploration missions at ACII 2026 @2026Acii60354 @CU_ICS @CUEngineering
Many congratulations to HUBBS Lab Ph.D. student Siddharth Kalyanasundaram on receiving the CS Research Expo Award for Published Work! @CUEngineering @CU_ICS
Many congratulations to HUBBS Lab Ph.D. Student Abdullah Aman Tutul for graduating with his Ph.D.! 🎓🎊Wonderful work, Dr. Tutul!
HUBBS Lab students presenting at the Spring 2026 Poster Session of the ICS Colloquium Series @CU_ICS
Congratulations to HUBBS Lab Ph.D. student Siddharth Kalyanasundaram for getting his paper titled 'Conditional Diffusion Models for Mental Health-Preserving Voice Conversion' accepted to 2026 IEEE ICASSP @CUBoulder @ieeeICASSP @CU_ICS @CUEngineering
HUBBS Lab student, Indu Varshini Jayapal, presenting her research on expanding AI ethics in college curricula at the American Society for Engineering Education Rocky Mountain Section @CUBoulder
Many congratulations to Ph.D. student, Kexin Feng, for successfully defending his Ph.D. thesis on "Designing and Evaluating Speech-based Machine Learning Algorithms for Depression Diagnosis and Screening." Very well-deserved, Dr. Feng!!! 🎉🎉🎉
Congratulations to M.S. student Shrivatsa Mishra for successfully defending this M.S. thesis on "Acoustic and Linguistic Analysis of Communication in Team Based Tasks" 🎉🎉🎉 @CUBoulder @CU_ICS @CUEngineering
HUBBS Lab researchers, Caroline Wendt and Theodora Chaspari, presenting at the Annual Conference of the Society of Organizational Psychology on how to leverage AI for interview training and unobtrusive measurement of team interactions #SIOP25 @CUBoulder @CUEngineering @CU_ICS
Many congratulations to HUBBS Lab student, Caroline Wendt, who received the Draper Scholar Fellowship! 🎉🎉🎉 As a Draper Scholar, Caroline will design robust lightweight multimodal machine learning models for real-time team functioning assessment.
HUBBS Lab Team presenting at the 2025 NASA Human Research Program Investigators’ Workshop (IWS)! #IWS2025 @NASA @CUBoulder @CU_ICS @CUEngineering
Many congratulations to HUBBS Lab student, Adbullah Aman Tutul, for successfully defending his Ph.D. proposal exam on human-AI interaction for decision-making and learning support! @TAMUEngineering @tamuresearch
Tutorial on algorithmic fairness in health informatics happening now! @IEEEBHI
Many congratulations to Ph.D. student Kexin Feng for getting two papers on explainable ML for speech-based mental health diagnosis accepted to this years IEEE-EMBS Biomedical Health Informatics (BHI) conference! 🎉 @IEEEBHI @tamuresearch @CUBoulderNews
Dr. Chaspari's interview with Tommy Tucker at WWL Radio on AI regulations @CUBoulder @WWLAMFM
audacy.com/podcast/wwl-first…
Our paper on deconstructing demographic bias in speech-based machine learning models for digital mental health has been accepted for publication to the Frontiers of Digital Health! frontiersin.org/journals/dig…
Many congratulations on HUBBS Lab Ph.D. student, Kexin Feng, on successfully defending his Ph.D. thesis proposal on explainable speech-based AI for mental health! 🥳🎉🎊 @tamuresearch @TAMUEngineering
HUBBS Lab researchers, Shrivatsa Mishra and Dr. Chaspari, presenting at the Hamlyn Syposium on Medical Robotics on AI-assisted surgical decision making @ICLHamlynRobots




























