
92% Booked
Registration Closed
This workshop focuses on advanced data analytics techniques for graphene-based Surface Acoustic Wave (SAW) gas sensors. Participants will learn signal preprocessing methods like noise filtering and drift correction, followed by anomaly detection using autoencoders for identifying sensor faults. The workshop also covers transfer learning for adapting models to new gas analytes, providing hands-on experience in enhancing sensor performance and developing real-time, adaptive sensor systems for various applications.
The workshop aims to teach advanced data analytics for graphene-based SAW gas sensors, focusing on signal preprocessing, anomaly detection with autoencoders, and transfer learning for adapting models to new gas analytes.
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Professional Certification Program
This workshop is intended for researchers, engineers, and students in sensor technology, data science, and materials science. It is ideal for those interested in gas sensor systems, signal processing, and machine learning applications. A basic understanding of machine learning concepts and programming is recommended but not required.
09/28/2025
IST 8 PM
09/28/2025 β 09/30/2025
IST 9 PM
Expertise in signal preprocessing and anomaly detection.
Hands-on experience with autoencoders and transfer learning.
Proficiency in enhancing sensor performance through data analytics.
Readiness for careers in sensor technology, data science, and machine learning.
Dr. Indra Neel Pulidindi works as an assistant professor at Saveetha Medical College and Hospital (SMCH) & Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai, India. He serves as a Scientific Consultant at JSCIAR, India. He has also been rendering his services as a . . .
βΉ1999 | $60
βΉ2999 | $70
βΉ3999 | $80
βΉ5999 | $100
Take your research to the next level with NanoSchool.
Get published in a prestigious open-access journal.
Become part of an elite research community.
Connect with global researchers and mentors.
Worth βΉ20,000 / $1,000 in academic value.
We’re here for you!
Instant Access
Not sure if this course is right for you? Schedule a free 15-minute consultation with our academic advisors.