Difference between revisions of "Siddhartha Khandelwal"
Siddhartha (talk | contribs) |
Siddhartha (talk | contribs) |
||
| Line 9: | Line 9: | ||
|Country=Sweden | |Country=Sweden | ||
|Office=E522 | |Office=E522 | ||
| − | | | + | |url=https://www.linkedin.com/in/siddhartha-khandelwal-363b7718?trk=nav_responsive_tab_profile |
| − | |||
|Subject=Human Motion Analysis using Wearable Sensors | |Subject=Human Motion Analysis using Wearable Sensors | ||
}} | }} | ||
Revision as of 10:09, 18 May 2016
Siddhartha Khandelwal, PhD
Family Name: Khandelwal
Given Name: Siddhartha
Role:
Title: PhD
Subject: Human Motion Analysis using Wearable Sensors
Email: hello@vectorizemove.com
url:
Phone:
Cell Phone:
Courses:
Teaching: Matlab with Applications (7.5 credits), Robotic Manipulators (Teaching Assistant, 7.5 credits)
Subject areas: Signal Analysis
Application areas: Health Technology
Projects:
About Siddhartha
After finishing my Bachelors in Electronics from Vellore Institute of Technology, India[1] and TU Dresden, Germany (Bachelor Thesis)[2], I worked for almost an year in a Robotics Start-up called ThinkLabs at IIT, Bombay (India)[3]. Then I received the Erasmus-Mundus scholarship "EMARO" [4] to pursue Masters in Robotics at WUT, Poland [5] and ECN, France [6]. In 2012, I joined IS-Lab at Halmstad University to pursue my PhD on Human Motion Analysis using Wearable Sensors. My current research involves quantitative and qualitative analysis of human motion using wearable sensors (especially accelerometers) with focus on gait analysis, involving:
- Gait event detection in real-world environments for long-term and continuous monitoring applications
- Activity classification and characterization of gait using wearable sensors
- Early prediction and continuous monitoring of neuro-physiological diseases such as Parkinson, cerebral palsy, etc
- Analyzing the performance and technique of elite athletes with special focus on bicycling
- Prediction of energy expenditure using wearable sensors
