Keshav Bimbraw
केशव बिम्बरा | ਕੇਸ਼ਵ ਬਿੰਬਰਾ
I am a Robotics PhD candidate at WPI's Medical FUSION Lab, where my research focuses on the application of deep learning to ultrasound image processing. My interests lie in leveraging AI/ML to enable real-time unimodal and multi-modal biosignal-based predictions. My research has broad applicability in domains such as robotic teleoperation, AR/VR, surgical robotics, rehabilitation robotics, and gaming.
As of October 2024, I am a Machine Learning Software Engineer at OnPoint Surgical. I worked as a research intern at Mitsubishi Electric Research Laboratories in Cambridge, Massachusetts under the Connected Interfaces Group in Summer 2023 and 2024. In the Summer and Fall of 2022, I worked as an Augmented Human Sensing Researcher (Intern/Co-Op) at Nokia Bell Labs' Artificial Intelligence Research Lab in the New York City Metropolitan Area.
Additionally, I have experience as an Active Noise Control Engineering intern at Bose (Automotive Systems Division) and as an Audio DSP Engineer. I hold a Master's in Music Technology from Georgia Tech (Spring 2019) and completed a research internship at IIT Delhi while pursuing my B.E. in Mechatronics Engineering at Thapar University. Resume. CV.
News
- Nov, '24 - Delivered an invited talk titled 'Integrating AI with Ultrasound for Enhanced Human-Machine Interfacing' at the AI in Tele-echography workshop at IEEE BHI 2024.
- Oct, '24 - GPT Sonography paper based on work done at MERL in Summer 2024 accepted to AIM-FM workshop at NeurIPS 2024!
- Oct, '24 - Started full-time work at OnPoint Surgical to advance surgical robotics.
- Sept, '24 - Presented and gave a live demonstration of our acoustic Reflector based forearm ultrasound for hand gesture classification with Yichuan Tang at Northeast Robotics Colloquium (NERC 2024) at UMass Amherst.
- July, '24 - Accepted a full-time Machine Learning Software Engineer offer at OnPoint Surgical, starting work in October '24!
- July, '24 - Forearm Ultrasound based Gesture Recognition on Edge accepted as Oral Presentation at IEEE BSN 2024!
- June, '24 - 2/2 papers accepted at IUS 2024!
- June, '24 - Started a research internship at Mitsubishi Electric Research Labs under Dr. Toshiaki Koike-Akino!
- June, '24 - Passed my PH.D. Thesis Proposal!
- May, '24 - Won IEEE EMBC NextGen Scholar Award!
- April, '24 - A paper on improving robustness of multi-modal biosignals for gesture classification based on a summer 2023 internship at MERL has been accepted to IEEE EMBC 2024!
- Nov, '23 - Mirror based forearm ultrasound for hand gesture classification using Convolutional Neural Network (CNN) and Vision Transformer (ViT) accepted for presentation at SPIE Medical Imaging 2024 in San Diego, CA!
- Oct, '23 - Ultrasound-based virtual object manipulation work presented at IEEE EMBS BSN 2023 held at MIT Media Lab, Cambridge, MA.
- Sept, '23 - Ultrasound based finger force estimation presented at IEEE IUS 2023 in Montreal, Canada.
- July, '23 - Our work on ultrasound-based virtual object manipulation has been accepted to IEEE BSN 2023 which will be held at MIT Media Lab in October!
- May, '23 - My work on ultrasound-based finger force estimation accepted to IUS 2023!
- April, '23 - Starting work as a Research Intern next month at Mitsubishi Electric Research Laboratories in Cambridge, Massachusetts!
- March, '23 - Gave my PhD Qualifiers and passed!
- January, '23 - Presented Towards the Development of a Low-Latency, Biosignal-Controlled Human-Machine Interaction System at IEEE SII 2023 held at Georgia Tech!
More...
- December, '22 - Ended a very productive Co-Op at Nokia Bell Labs. Produced deliverables in terms of already out and future papers, patents and demonstrable videos!
- November, '22 - Paper titled 'Simultaneous Estimation of Hand Configurations and Finger Joint Angles using Forearm Ultrasound' accepted to be published in the IEEE Transactions on Medical Robotics and Bionics! ArXiv version.
- October, '22 - Paper titled 'Towards the Development of a Low-Latency, Biosignal-Controlled Human-Machine Interaction System' accepted to IEEE SII 2023!
- August, '22 - Based on the summer internship performance, the Data and Devices Group in the Artificial Intelligence Research Labs (AIR Labs) at Nokia Bell Labs extended a Co-Op offer, which I accepted! Excited to continue my work at Bell Labs in the Human-Machine Interaction space!
- June, '22 - Joined the Data and Devices Group in the Artifical Intelligence Research Labs (AIR Labs) at Nokia Bell Labs in New Providence, NJ as an Augmented Human Sensing Intern to work on exciting projects in the Human-Machine Interaction space!
- May, '22 - Presented a paper at the Autonomous Systems session and a poster at the at Workshop on Human-centered Autonomy in Medical Robotics at IEEE ICRA 2022 in Philadelphia!
- May, '22 - Poster 'Forearm Ultrasound Images can be Classified to Predict Static American Sign Language Letters' accepted to be presented in the IEEE ICRA 2022 Workshop on Human-centered Autonomy in Medical Robotics!
- January, '22 - My recent paper accepted to ICRA 2022! Looking forward to attending the conference in Philadelphia in May!
- December, '21 - Completed all the courses required for my PhD qualifier.
- September, '21 - Accepted to the 2021B class of Google’s CS Research Mentorship Program (CSRMP)!
- September, '21 - Submitted my paper on predicting continuous and discrete hand movements using forearm ultrasound images to ICRA 2022. arXiv, Video.
- October, '20 - Glad that my ultrasound image capture code was useful for Ryosuke's 'Robotic lung ultrasound paper' which has now been published!
- September, '20 - 'Augmented Reality-Based Lung Ultrasound Scanning Guidance' published in LNCS and Image Processing, CV, Pattern Recognition, and Graphics.
- August, '20 - Started Ph.D. in Robotics Engineering at WPI!
- July, '20 - 'Augmented Reality-Based Lung Ultrasound Scanning Guidance' accepted in MICCAI ASMUS 2020!
- April, '20 - 'Towards Sonomyography-Based Real-Time Control of Powered Prosthesis Grasp Synergies' accepted in EMBC 2020!
- March, '20 - Got Ph.D. offers from Georgia Tech and WPI! Accepted the WPI offer and started working in Medical FUSION Lab!
- December, '19 - My project and code for controlling prosthetics with ultrasound featured in the first episode of The Age of AI!
- April, '19 - 'Sonomyography based real-time hand grasp configuration identification via supervised learning to control a soft robotic gripper' at ISMR/SSMR 2019.
- January, '19 - Selected for Georgia Tech's Diversity and Inclusion Fellowship Program!
- December, '18 - Presented 'Imparting Expressivity and Dynamics to Percussive Musical Robot Shimon' at GaTech 3MT 2018.
- October, '18 - Presented 'Comparison and Integration of SMG and EMG' at BMES Annual Meeting 2018.
- July, '18 - Selected for Georgia Tech's Accessibility, Rehabilitation, and Movement Science traineeship.
Selected Papers
Leveraging Ultrasound Sensing for Virtual Object Manipulation in Immersive Environments
IEEE BSN 2023
Cambridge, MA
Paper. Video.
Towards The Development of a Low-Latency, Biosignal-Controlled Human-Machine Interaction System
IEEE SICE SII 2023
Atlanta, GA
Paper. Video.
Prediction of Metacarpophalangeal joint angles and Classification of Hand configurations based on Ultrasound Imaging of the Forearm
IEEE ICRA 2022 and IEEE Transactions on Medical Robotics and Bionics
Philadelphia, PA
Conference Paper. Journal Paper. Video.
Forearm Ultrasound Images can be Classified to Predict Static American Sign Language Letters
IEEE ICRA 2022 Workshop on Human-centered Autonomy in Medical Robotics
Philadelphia, PA
Poster Link.
Volunteer Advising/Mentorship
Please feel free to contact me at my Personal Email ID (last-name first-name at gmail.com) for advice on graduate school, insights on research versus industry, life as an international student, and career guidance. As someone who has mentored and guided students since my undergraduate years, I am particularly interested in supporting individuals from traditionally underrepresented communities in STEM, such as LGBTQIA+, POC, and FGCS. Don't hesitate to reach out, I'll be happy to assist in any way I can.