Title: Domain knowledge-guided multimodal machine learning for AIoT
The talk will cover an overview of ongoing research activities within the “Intelligent IoT” group at Bosch Research Pittsburgh and our close partnerships with universities and federal agencies. In particular, we’ll spotlight our research thrusts at the intersection of signal processing and machine learning as well as neuro-symbolic AI. Highlight research projects will include SoundSee – our ongoing space mission to the international space station (ISS) in partnership with NASA and how we are translating these deep audio analytics capabilities into commercialization. On a boarder level, we’ll share our vision towards AI-augmented sensing capabilities beyond their physical design parameters via cross-modal/cross-spectral representation learning and signal2signal translation. We will conclude the talk with a quick snapshot of several other research topics + potential collaboration opportunities within our Pittsburgh lab including DARPA robust ML project, knowledge-infused learning for automated driving, mini-lunar rover navigation research with NASA and our partnership with Highmark Health for smart diagnostics in pediatric care.
Bio: Samarjit Das is the Lead Principal Scientist and Senior Manager at Bosch Research Pittsburgh. He leads a research group that concentrates on the interface between artificial intelligence (AI) and the Internet of Things (IoT). He is also responsible for Bosch’s research collaborations with the School of Computer Science at Carnegie Mellon University, NASA-JPL/Caltech, NASA Ames and New York University. Dr. Das received B.Tech in Electronics and Communications Engineering from IIT Guwahati, India in 2006 and PhD in Electrical Engineering from Iowa State University in 2010. Prior to joining Bosch in 2013, he was a postdoctoral fellow and research scientist at the Robotics Institute, Carnegie Mellon University (CMU). Dr. Das is the recipient of the Carnegie Science Award’21 in innovation and Young Alumni Award’22 from ISU College of Engineering.
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