About
The highest manifestation of strength is to keep ourselves calm and on our own feet. ~Vivekananda
General Information
- Birthday: 2nd June 2001
- Website: https://labs.iitgn.ac.in/hcr-lab/
- Phone: +91 99240 53214
- Home: Mehsana, Gujarat
- Age: 23
- Degree: Bachelor of Engineering
- Email: ronak.v@iitgn.ac.in
- Country: India
Skills
Experienced in LabVIEW, MATLAB, Motion capture system, and sensor integration, adept at leveraging these tools for effective data analysis and seamless system integration.
Resume
Passionate about musculoskeletal system research, rehabilitation robotics, biomechanics, and human‐robot interaction. I possess a keen interest in integrating machine learning algorithms in sports mechanics. I am adept at leveraging my critical thinking and creativity to design innovative solutions for complex problems.
Summary
Ronak Vyas
I have completed my undergraduate studies in biomedical engineering from Gujarat Technological University in 2022 with 9.21/10.00 CGPA, and am currently working as a Research Assistant at the Human-Centered Robotics Lab at the Indian Institute of Technology Gandhinagar (IITGN), India under the supervision of Prof. Vineet Vashista, where my current work focuses on projects that explore the use of EMG during walking and the recognition of human activity and GAIT using motion sensor.
- Mehsana, Gujarat, IN
- +91 97147 33138
- ronakvyas971@gmail.com
Education
Bachelor of Engineering in Biomedical
2019 - 2022
L.D. College of Engineering, Ahemdabad, Gujarat
Accomplished undergraduation with 9.21/10.00 CGPA. Awarded with university bronze medal for academic performance. The major courses were rehabilitation, biomechanics, medical electronics and control system.
Diploma in Biomedical Engineering
2016 - 2019
Government Polytechnic Ambawadi, Ahmedabad, Gujarat
Completed the program with 9.81/10.00 CGPA. Awarded with university silver medal for academic performance.
Professional Experience
Research Assistant
2022 - Present
Human-Centered Robotics lab, IITGN
- Observing muscle activation and walking kinematics while walikg with biofeedback
- Developing proportional myo-electric control architecture for actuating Ankle exoskeleton.
- Approaching various machine learning methods for extracting biomechanical feature during sports activity.
Industrial Intership
1/2022 - 5/2022
Spectrum MedTech Pvt. Ltd, Gujarat, IN
- Acquired an understanding of a range of surgical equipment and instruments.
- obtained hands–on experience with various types of equipment.
- Molding and dying of Cardiac catheters
Projects
I am actively involved in multiple projects, some of which have been completed while others are ongoing.
EMG controlled Ankle Exoskeleton
Designing a high-level proportional myoelectric controller, we processed the raw EMG signal to generate a linear envelope in real time. We conducted a maximum search of the envelope and used these values to calculate a mapping gain, which was then applied to create the actuation control signal.
EMG biofeedback driven lower limb human joint strategy
The primary goal of this study is to see if we can train the human lower limb joint by displaying the muscle activation as biofeedback during the GAIT cycle. The study involves EMG data acquisition, real–time processing, and a motion capture system.
Athletes Performance Analysis Using Wearable Motion Sensor System
The study focuses on badminton sport, which aims to develop a machine learning algorithm to predict the correct foot landing during real-time gameplay using motion sensor data. The motive of the study is to prevent false movement during the game and lower limb injuries.
Voice Controlled Wheelchair Prototype
Designed and built a voice–controlled wheelchair prototype with the distinctive feature of Google Assistant integration, enabling individuals with lower limb paralysis or deformities to maneuver using voice commands.
EMG controlled Myo-Electric Arm Prototype
As part of my final year diploma project, I Designed and developed a prototype of a Myo‑Electric arm that can be controlled using EMG signals acquired from the surface of the skin. The project involved designing and implementing a signal conditioning circuit to acquire and process the EMG signals for accurate control of the arm.
IOT Based Patient Monitoring System
The main objective of the project was to wirelessly transmit the vital parameters of patients to an IoT platform. Patients physiological data was then transmitted to the Blynk IoT app/web dashboard using the NodeMCU ESP8266 Wi–Fi module.
Contact
Location:
AB 4/111, Human-Centered Robotics Lab, IITGN, Palaj-382355
Email:
ronak.v@iitgn.ac.in
Call:
+91 99240 53214