ProfessorsProfessors of Purdue UniversityAditya Shanghavi

Aditya Shanghavi

Purdue University

H-index: 5

North America-United States

About Aditya Shanghavi

Aditya Shanghavi, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Purdue University, specializes in the field of AR, Deep Learning, Medical Robotics, Medical Devices, Non-Invasive Diagnostics.

His recent articles reflect a diverse array of research interests and contributions to the field:

A machine-learning method isolating changes in wrist kinematics that identify age-related changes in arm movement

Configurable electrosurgical generator housing

Sistema cirúrgico robótico

Parkinson’s Disease Progression: Exploring the Relationship between Motor Performance and Cognitive Function

Robotic surgical system

Detection of Parkinsonian Motor Symptoms Using Non-Invasive Motion Sensing Technology

Robotic surgical system handpiece

Aditya Shanghavi Information

University	Purdue University
Position	US Medical Innovations
Citations(all)	213
Citations(since 2020)	173
Cited By	105
hIndex(all)	5
hIndex(since 2020)	5
i10Index(all)	5
i10Index(since 2020)	4
Email	Access Email
University Profile Page	Purdue University
Google Scholar	View Google Scholar Profile

Aditya Shanghavi Skills & Research Interests

Deep Learning

Medical Robotics

Medical Devices

Non-Invasive Diagnostics

Top articles of Aditya Shanghavi

Title	Journal	Author(s)	Publication Date
A machine-learning method isolating changes in wrist kinematics that identify age-related changes in arm movement	Scientific Reports	Aditya Shanghavi Daniel Larranaga Rhutuja Patil Elizabeth M Frazier Satyajit Ambike ...	2024/4/29
Configurable electrosurgical generator housing			2023/7/20
Sistema cirúrgico robótico			2023/1/24
Parkinson’s Disease Progression: Exploring the Relationship between Motor Performance and Cognitive Function	Proceedings of IMPRS	Megan E Sullivan Aditya A Shanghavi Sarah Elizabeth Zauber Anne B Sereno	2023
Robotic surgical system			2022/1/18
Detection of Parkinsonian Motor Symptoms Using Non-Invasive Motion Sensing Technology	Proceedings of IMPRS	John Sakaleros Farzin Shamloo Aditya Shanghavi Anne Sereno	2021/12/10
Robotic surgical system handpiece			2020/3/17