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Keshav Bimbraw

Massachusetts
Augmented Human Sensing Co-Op

Research Interests

Biography

Keshav Bimbraw received his B.E. degree in Mechatronics Engineering from Thapar University, Patiala, India, and his M.S. in Computer Software and Media Applications from Georgia Institute of Technology, Atlanta, Georgia. He is currently pursuing his Ph.D. in Robotics Engineering from Worcester Polytechnic Institute, Worcester, Massachusetts. In the summer of 2022, he joined Nokia Bell Labs in Murray Hill, NJ as an Augmented Human Sensing Intern where he is currently working as a Co-Op as a part of the Data and Devices Group in the Artificial Intelligence Research Lab. A roboticist at heart, Keshav's research at Nokia Bell Labs has included an investigation into low-latency remote teleoperation of robotic arms using bioelectrical and physiological signals from the upper arm using advanced signal processing, machine learning and deep learning algorithms. He is very interested in exploring novel sensing techniques, algorithms, and low-latency pipelines for natural human-machine interaction.

Education

PhD, Robotics Engineering, Worcester Polytechnic Institute, Worcester, MA (ongoing).

MS, Computer Software and Media Applications, Georgia Institute of Technology, Atlanta, GA, 2019.

BE, Mechatronics Engineering, Thapar University, Patiala, Punjab, India, 2017.

Professional activities

IEEE 

IEEE RAS

BMES

ACM

Selected articles and publications

Prediction of Metacarpophalangeal joint angles and Classification of Hand configurations based on Ultrasound Imaging of the Forearm.

Bimbraw, K., Nycz, C. J., Schueler, M., Zhang, Z., & Zhang, H. K. In: arXiv preprint:2109.11093 (Presented at IEEE International Conference on Robotics and Automation 2022).

Tele-Operative Low-Cost Robotic Lung Ultrasound Scanning Platform for Triage of COVID-19 Patients.

Tsumura, R., Hardin, J.W., Bimbraw, K., Grossestreuer, A.V., Odusanya, O.S., Zheng, Y., Hill, J.C., Hoffmann, B., Soboyejo, W. and Zhang, H.K., 2021. IEEE Robotics and Automation Letters, 6(3), pp.4664-4671.

Augmented Reality-Based Lung Ultrasound Scanning Guidance.

Bimbraw, K., Ma, X., Zhang, Z., Zhang, H. (2020). In: Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis. ASMUS 2020, PIPPI 2020. Lecture Notes in Computer Science, vol 12437. Springer, Cham. doi.org/10.1007/978-3-030-60334-2_11.

Towards Sonomyography-Based Real-Time Control of Powered Prosthesis Grasp Synergies.

Bimbraw, K., Fox, E., Weinberg, G. and Hammond, F. L. (2020). In: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Montreal, QC, Canada, 2020, pp. 4753-4757, doi: 10.1109/EMBC44109.2020.9176483.

A teach pendant to control virtual robots in Roboanalyzer.

Mehta, I., Bimbraw, K., Chittawadigi, R. G., & Saha, S. K. (2016). In: 2016 Int. Conference on Robotics and Automation for Humanitarian Applications (RAHA) (pp. 1-6). IEEE.

Performance improvements of a 6-DOF motion platform.

Bimbraw, K., Mehta, I., Venkatesan, V., Joshi, U., Sabherwal, G. S., & Saha, S. K. (2016). In: 2016 Int. Conference on Robotics & Automation for Humanitarian App. (RAHA) (pp. 1-5). IEEE.

Study of phase transformation and microstructure of alcohol washed titania nanoparticles for thermal stability.

Kaur, M., Singh, G., Bimbraw, K., & Uniyal, P. (2015). In: AIP Conference Proceedings (Vol. 1675, No. 1, p. 030049). AIP Publishing.

Autonomous cars: Past, present, and future.

Bimbraw, K. (2015). In:2015 12th International Conference on Informatics in Control, Automation and Robotics (ICINCO) (Vol. 1, pp. 191-198). IEEE.