Exploring EMG-Driven Engineering Solutions

Ashutosh Shivakumar is an Assistant Professor at the Department of Computer Science and Engineering at Wright State University, Dayton, Ohio. He has over 5 years of interdisciplinary research experience in Human- Centered Computing (HCC) and Human-machine Teaming (HMT). His work focusses on design and development of mobile-cloud computing based software applications that leverage natural language processing and machine learning to facilitate and enhance human-human collaboration and human-machine collaboration in spoken-language based communication tasks. Examples of his work include design and development of distributed interruption management systems to minimize disruptiveness of interruptions in collaborative communication tasks, dialogue assessment and training systems to enhance healthcare provider-client collaboration for client behavior modification and development of learner-centered training tools to promote language acquisition among dual language learners.

Currently, at the Terascale All-sensing Research Studio (TARS), Wright State University, Dayton, Ohio, Ashutosh Shivakumar, in collaboration with colleagues Dr. Natasha Banerjee and Dr. Sean Banerjee, focusses on leveraging Extending reality (XR) based technologies, biomedical sensors, principles in social VR and human-machine teaming to design virtual simulations that optimize human performance assessment in areas such as human-robot teaming (HRT), healthcare delivery and pedagogy

Natasha Kholgade Banerjee is the LexisNexis Endowed Co-Chair for Advanced Data Science and Engineering and Associate Professor in the Department of Computer Science & Engineering at Wright State University in Dayton, Ohio, USA. She is co-founder and co-director of the Terascale All-Sensing Research Studio (TARS). She performs research at the intersection of computer graphics, computer vision, and machine learning. Her research uses large-scale multimodal multi-viewpoint data to contribute artificial intelligence (AI) algorithms imbibed with comprehensive awareness of how humans interact with objects in everyday environments. Her work addresses data-driven object repair and robotic assembly, human-robot handover informed by multi-person interactions, and AI-driven detection of need for assistance from multimodal data on human-object interactions. Her work has been published at prestigious venues such as ICRA, CVPR, NeurIPS, ECCV, IEEE RO-MAN, SIGGRAPH Asia, and IEEE VR.

Sean Banerjee is the LexisNexis Endowed Co-Chair for Advanced Data Science and Engineering and Associate Professor in the Department of Computer Science and Engineering at Wright State University in Dayton, Ohio. He is co-founder and co-director of the Terascale All-Sensing Research Studio (TARS). He performs research at the intersection of human-computer interaction and artificial intelligence (AI). His research interests are on using human behavior data collected using multiview multimodal sensing systems in real and virtual environments to contribute artificial intelligence (AI) algorithms that show awareness of the nuances of everyday human-human and human-object interactions for VR security, immersive learning environments, assistive robotics, and healthcare. His work has been published at prestigious venues such as IEEE VR, IEEE RO-MAN, ICRA, CVPR, NeurIPS, ECCV, and SIGGRAPH Asi