Publications
My research spans medical AI, forearm ultrasound sensing, human-machine interfaces, surgical robotics, wearable biosignals, edge AI, and large vision-language models.
Journal Publications
GPT Sonography: Hand Gesture Decoding From Forearm Ultrasound Images via a Large Vision-Language Model
Shows that a frozen large vision-language model can decode hand gestures from forearm ultrasound images using few-shot in-context learning and retrieval-augmented example selection, without model fine-tuning.
Acoustic Reflector Based Forearm Ultrasound for Hand Gesture Classification
Proposes a parallel-mounted acoustic-reflector forearm ultrasound setup that improves wearability while preserving gesture-classification performance across a 12-gesture, 6-subject dataset.
Simultaneous Estimation of Hand Configurations and Finger Joint Angles Using Forearm Ultrasound
Introduces a CNN-based pipeline for estimating both discrete hand configurations and continuous MCP joint angles from forearm ultrasound images for real-time human-machine interfacing.
Under Review / Submitted
Simultaneous Estimation of Manipulation Skill and Hand Grasp Force from Forearm Ultrasound Images
Estimates both manipulation skill class and continuous hand grasp force from forearm ultrasound images for teleoperation, skill transfer, and dexterous human-machine interaction.
Ultrasound-Based Hand Gesture Recognition with Cross-User Reproducibility through Deep Metric Learning with Triplet Network
Studies subject-to-subject reproducibility in ultrasound gesture recognition using deep metric learning and triplet-network representations.
Wearable Continuous Hand Force Estimation Using A-Mode Ultrasound: Demonstration with the WULPUS Platform
Demonstrates continuous hand force estimation using a wearable A-mode ultrasound platform.
Conference Publications
Transfer Learning and Quantization for Efficient AP vs. LA X-Ray View Classification on an Edge Device
Keshav Bimbraw and D. Steines. Medical Imaging with Deep Learning — Short Papers.
Forearm Ultrasound Based Gesture Recognition on Edge
Keshav Bimbraw, Haichong K. Zhang, and Bashima Islam. IEEE Body Sensor Networks Conference.
Improving Intersession Reproducibility for Forearm Ultrasound Based Hand Gesture Classification through an Incremental Learning Approach
Keshav Bimbraw, Jack Rothenberg, and Haichong K. Zhang. IEEE International Ultrasonics Symposium.
Leveraging Ultrasound Sensing for Virtual Object Manipulation in Immersive Environments
Keshav Bimbraw, Jack Rothenberg, and Haichong K. Zhang. IEEE Body Sensor Networks Conference.
Study of Phase Transformation and Microstructure of Alcohol Washed Titania Nanoparticles for Thermal Stability
M. Kaur, G. Singh, Keshav Bimbraw, and P. Uniyal. AIP Conference Proceedings.
Autonomous Cars: Past, Present, and Future
Keshav Bimbraw. International Conference on Informatics in Control, Automation and Robotics.
Presentations, Posters, and Patents
Transfer Learning and Quantization for Efficient AP vs. LA X-Ray View Classification on an Edge Device
Provisional Patent. Keshav Bimbraw and Daniel Steines.
GPT Sonography: Hand Gesture Decoding from Forearm Ultrasound Images via VLM
NeurIPS AIM-FM Workshop. Keshav Bimbraw, Ye Wang, Jing Liu, and Toshiaki Koike-Akino.
Acoustic Reflector Based Forearm Ultrasound for Hand Gesture Classification
Northeast Robotics Colloquium. Keshav Bimbraw, Yichuan Tang, and Haichong K. Zhang.
Towards Forearm Ultrasound Based Hand Gesture Classification and Finger Force Estimation Using Deep Learning
New England Manipulation Symposium. Keshav Bimbraw and Haichong K. Zhang.
Forearm Ultrasound Images Can Be Classified to Predict Static American Sign Language Letters
IEEE ICRA Workshop on Human-Centered Autonomy in Medical Robotics. Keshav Bimbraw, Jack Rothenberg, and Haichong K. Zhang.