Mahrukh Tauseef

Dedicated PhD student specializing in Electrical and Computer Engineering, passionate about human-computer interaction and the integration of technology to enhance the well-being of marginalized groups. Seeking an opportunity to contribute to Dolby's cutting-edge research initiatives, leveraging expertise in Augmented Reality, Machine Learning, and multi-modal data analysis.

• "Towards standardization of haptic handshake for tactile internet: a WebRTC-based implementation" (2019 IEEE International Symposium on Haptic, Audio, and Visual Environments and Games)
• "Multimodal job interview simulator for training of autistic individuals" (Assistive Technology, 2023)
• "Design of a Virtual Task to Understand the Nature of Collaboration Between Autistic and Neurotypical Adults in Workplace Using Multimodal Data" (International Conference on Human-Computer Interaction, 2022). Presented as a first author at the conference
• "Design of a Desktop Virtual Reality-based Collaborative Activities Simulator (ViRCAS) to Support Teamwork in Workplace Settings for Autistic Adults" (IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023)
• "Semi-Supervised Behavior Labeling Using Multimodal Data during Virtual Teamwork-Based Collaborative Activities" (Sensors, 2023)
• "A Novel Loss Function Utilizing Wasserstein Distance to Reduce Subject-Dependent Noise for Generalizable Models in Affective Computing." arXiv preprint arXiv:2308.10869 (2023).
• "Multimodal Analytics of Autistic-Neurotypical Dyadic Interaction in a Collaborative Virtual Training Simulator for Improving Teamwork and Executive Functioning Skills" (Under Review, Transactions on Accessible Computing, 2023)
• "An Iterative Participatory Design Approach to Develop Collaborative Augmented Reality Activities for Older Adults in Long-Term Care Facilities" (Under Review, ACM CHI Conference on Human Factors in Computing Systems, 2024)