Doctoral Research
Capital intensive and risk averse structures like aircrafts, ships, tank floor, bridges etc. require continuous monitoring to avoid catastrophic system failure which can lead to loss of life and property. Structural health monitoring using Un-supervised statistical technologies (People may call it machine learning, but i prefer to call statistics) helps to accomplish this continuous monitoring. This is accomplished using artificially created Ultrasonic guided waves acting as artificial heartbeats and a special stethoscope made of Optical fiber acting as nerves of the structure is used to diagnose them.
Jagadeeshwar developed novel techniques for defect identification in composite structures using sparse sampling, statistics, photonic sensors and ultrasonic guided waves based SHM.
He has hands on experience in fabricating fiber Bragg gratings and sensing system for high frequency strain measurements.
He also has 5 years of experience on wave propagation simulations in composite and metallic structures
Experience
Research Associate: Louisiana State University, USA, Aug 2021- current
Louisiana State University installed single-mode and multi-mode optical fibers in a 5,173-foot-deep wellbore. Jagadeeshwar explores different aspects of well control operations using distributed sensing. He is also focusing on leak detection using various sensing approaches, such as FBGs, distributed temperature sensing, and distributed acoustic sensing. His current research interests are given below
Distributed Acoustic Sensing
Distributed Temperature sensing
FBG sensing
Teaching Assistant: IIT Madras, India, Jan 2020 -July 2021
During Jagadeesh's PhD studies, he worked as a teaching assistant for a variety of courses, including optical fiber sensors, digital systems, etc. His duties were as listed below
Preparing assignments
Helping Instructor in recording video lectures(NPTEL, optical fiber sensors)
Assisting the course instructor with teaching aids and material
Evaluating the mini projects and quizzes
3. Student Administrator ( Research Admissions): IIT Madras, July 2017 – May 2020
Jagadeeshwar was a member of the PhD admissions student core team. He contributed the following things.
Designed and implemented a workflow for 11 online parallel interviews
Developed a desktop application for the shortlisting process
Developed a common template for online and offline written exams
As a Reviewer
Journals
Optics Express
Structural Health Monitoring
Results in Engineering
Journal of Sensors
Conferences
CICT 2020 (IEEE conference)
IEEE Sensors (IEEE conference)