Karthick Thiyagarajan

Sensing Technologies | Machine Learning | Robotics

Karthick Thiyagarajan

Few Words About Me

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I am currently a Ph.D. student (Under Examination) in the Centre for Autonomous Systems at University of Technology Sydney, Australia. I am working with Professor Sarath Kodagoda and Distinguished Professor Gamini Dissanayake on a research topic, “Robust Sensor Technologies Combined with Smart Predictive Analytics for Hostile Sewer Infrastructures”.

I enjoy collaborating with researchers from diverse spectrum to foster new skills and solve new challenges. Currently, my doctoral dissertation is part of a water industry led collaborative project, “ Predictive Analytics for Sewer Corrosion”, involving 4 government-owned water utilities, federal government agency for scientific research and 2 research organizations.

My research vision focuses to strive for excellence in delivering real-world industry outcomes through scientific advancements in sensing technologies, with the focus on machine learning and its applications in robotic systems. Currently, my research is centred around the development of robust sensing technologies for urban infrastructure asset monitoring applications. I employ non-destructive measurement methods and combination of machine learning techniques for developing sensing technologies.

BACKGROUND

UTS

UNIVERSITY OF TECHNOLOGY SYDNEY
AUSTRALIA

Doctor of Philosophy, Sensor Technologies
  • Thesis: Robust Sensor Technologies Combined with Smart Predictive Analytics for Hostile Sewer Infrastructures
  • Primary Supervisor: Professor SarathKodagoda
  • Co-supervisor: Distinguished Professor Gamini Dissanayake
  • Newcastle

    UNIVERSITY OF NEWCASTLE UPON TYNE
    UNITED KINGDOM

    Master of Science, Mechatronics
  • Thesis: SLAM Approach towards Dani Robot using LIDAR Sensor
  • Advisors: Dr John Hedley and Dr Robert Bicker
  • annauniversity

    Anna University
    INDIA

    Bachelor of Engineering, Electronics and Instrumentation Engineering
  • Capstone Advisor: Professor Kohila Subramanian
  • RESEARCH

  • Doctoral Dissertation: Robust Sensor Technologies Combined with Smart Predictive Analytics for Hostile Sewer Infrastructures
  • Advisors: Professor SarathKodagoda and Distinguished Professor Gamini Dissanayake, Centre for Autonomous Systems, Faculty of Engineering and Information Technology, UTS.
    • Developed technology for measuring surface temperature in sewers. (Scientific Reports, Review)
    • Demonstrated non-invasive way of measuring surface moisture conditions in sewer systems.
    • Developed a diagnostic toolkit to detect early sewer sensor failure. (IEEE TIE Journal, Review)
    • Temporal forecasting based sensor failure detection of sewer sensors. (IEEE ICIEA 2017)
  • 2016-2017 Industry Project: Predictive Analytics for Sewer Corrosion
  • Funding Partners: Sydney Water Corporation, Melbourne Water Corporation, Water Corporation and South Australian Water Corporation.
  • Research Participants: Data61-Commonwealth Scientific and Industrial Research Organisation, University of Technology Sydney and University of Newcastle.
    • Developed technology for measuring surface temperature in sewers. (Scientific Reports, Review)
    • Demonstrated non-invasive way of measuring surface moisture conditions in sewer systems.
    • Developed a diagnostic toolkit to detect early sewer sensor failure. (IEEE TIE Journal, Review)
    • Temporal forecasting based sensor failure detection of sewer sensors. (IEEE ICIEA 2017)
    • Performed characterization of a surface temperature sensor for sewers. (IEEE ICARCV 2016)
    • Implemented machine learning model to estimate the concrete moisture condition. (ISARC 2016)
    • Implemented an algorithm to predict moisture based on pH & resistivity. (IEEE ICIEA 2016)
  • 2015-2016 Industry Project: Smart Sewer Monitoring System
  • Funding Partner: South Australian Water Corporation
    • Implemented 1D Gaussian process regression modelling technique to estimate the moisture content of the material based on electrical resistivity measurements.
    • Performed scoping study for identifying feasible sensing technologies for monitoring surface temperature and surface moisture conditions on concrete sewer walls.

    PUBLICATIONS

  • Journals

  • K. Thiyagarajan, S. Kodagoda, L.V. Nguyen and R. Ranasinghe. Sensor Failure Detection and Accommodation Algorithm Using SARIMA Model for Instrumented Sewer Infrastructure. In IEEE Transactions on Industrial Electronics. (Review)
  • K. Thiyagarajan, S. Kodagoda, R. Ranasinghe, D. Vitanage and G. Iori. Robust sensing suite for measuring temporal dynamics of surface temperature in sewers. In Scientific Reports Journal. (Review)
  • Conference Proceedings

  • K. Thiyagarajan, S.Kodagoda, L.V.Nguyen, and S.Wickramanayake, “Gaussian Markov Random Fields for Localizing the Reinforcing Bars in Concrete Infrastructures,” 35th International Symposium on Automation and Robotics in Construction (ISARC), Berlin, Germany, 2018. (Accepted)
  • K. Thiyagarajan, S. Kodagoda and L.V. Nguyen. Predictive Analytics for Detecting Sensor Failure Using Autoregressive Integrated Moving Average Model. In 12th IEEE Conference on Industrial Electronics and Applications (ICIEA), 2017, Cambodia, Pages: 1923-1928. [PDF]
  • K. Thiyagarajan, and S. Kodagoda. An Instrumentation System for Smart Monitoring of Surface Temperature. In 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2016, Phuket, Thailand, Pages: 1-6. [PDF]
  • K. Thiyagarajan, and S. Kodagoda. Analytical Model and Data-driven Approach for Concrete Moisture Prediction. In 33rd International Symposium on Automation and Robotics in Construction (ISARC), 2016, Auburn, USA, Pages: 298-306. [PDF]
  • K. Thiyagarajan, S. Kodagoda and N. Ulapane. Data-driven Machine Learning Approach for Predicting Volumetric Moisture Content of Concrete Using Resistance Sensor Measurements. In 11th IEEE Conference on Industrial Electronics and Applications (ICIEA), 2016, Hefei, China, Pages: 1288-1293. [PDF]
  • ACCOLADES

  • Student Water Prize
    “Australian Water Association, New South Wales Water Awards 2018.”, More Info
  • Runner-up
    Title: Smelly? Not Any More!, UTS FEIT 3MT Finals, 2017.
  • People’s Choice Award
    Poster Presentation, “Robust Sensing Suite for Long-term Monitoring in Sewers”,
    UTS FEIT Research Showcase 2017
    More Info
  • UTS President’s Scholarship
    University of Technology Sydney, Australia, 2014-2018
    More Info
  • Best Project Award
    Capstone Project, Project Exhibition 2011, Anna University, India
  • UTS International Research Scholarship
    University of Technology Sydney, Australia, 2014-2018
    More Info
  • School Postgraduate Programme Scholarship
    Newcastle University, UK, 2012-2013
  • People’s Choice Award
    “Innovations in Sensor Development for Measurement of Surface Properties in Aggressive Environment”,
    Oral Presentation, FEIT Research Showcase 2016
    More Info
  • WORK

    UTS

    CASUAL ACADAMIC TUTOR

  • 48622 Mechatronics 1
    Autumn, Spring: 2015, 2016, 2017
    Faculty of Engineering and Information Technology
  • Delivered presentations in the laboratory for implementing combinational and sequential logic circuit designs in Complex Programmable Logic Devices (CPLDs) and Field Programmable Gate Arrays (FPGAs) using ISE Design Suite – Xilinx.
  • Taught students to implement Assembly and C Programming languages using MPLAB IDE in PIC microcontrollers.
  • wipro

    PROJECT ENGINEER

  • Finance and Securities Domain
    Client: Bank of New York Mellon
  • Developed a web-based application to track interviews using Java and SQL languages.
  • Responsible for scheduling and maintaining batch jobs, and fixing bugs arose in the applications of Mainframe.
  • And here's my CV.....

    Contact

    "So you think I’ve got skills to help you with something? Then get in touch."

    Karthick.Thiyagarajan@uts.edu.au

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