He is currently working as a scientist at Smart Manufacturing Cell, Central Manufacturing Technology Institute, Bangalore, with a focus on Electrical Automation, Motion Controllers, IoT, advancing technological solutions in manufacturing under the supervision of Shri. Prakash Vinod (Joint Director & Centre Head, Scientist-F), Shri. T Narendra Reddy (Group Head, Scientist-D) and team. He is highly motivated and results-oriented researcher with experience in basic research, design, and development across diverse technical fields including wireless sensor technology, data interpretation using ML Techniques and aircraft engine control system services.
Technical Skills:
- Wireless Sensor Technology:
- Early expertise in RFID technology for structural health monitoring.
- Proficient in simulation analysis of RFID tag antenna sensors using ANSYS HFSS.
- Experience in data acquisition using UHF RFID readers and external patch antennas.
- Data Mining and Machine Learning:
- Developed algorithms for fault detection, localization, and diagnosis using machine learning models (SVM, LDA).
- Skilled in data mining techniques such as Principal Component Analysis (PCA).
- Thermal Power Plant (Power Generation):
- Had training and practical understanding of the framework of power generation industry, including electrical maintenance sections, control units, relay sections, and switchyards.
- Aerospace:
- Experience in providing engineering services for Electronic Engine Control System (EECS) interfaces for Rolls Royce aircraft engines.
- Familiar with tools like Artisan Modeller, Integrity Configuration tool, and Simgen.
- Other Skills:
- Proficient in technical writing and report generation.
- Strong analytical and problem-solving skills.
- Good communication and interpersonal skills.
Google Scholar: https://scholar.google.com/citations?user=yTPtZyYAAAAJ&hl=en
PhD (Instrumentation & Control Eng.) (Pursuing)
National Institute of Technology, Tiruchirappalli (2021-Present)
Course Work CGPA: 9.25, Completed seminar Talk-1
M.Tech (Avionics)
Institute of Science and Technology-JNTUK, AP (2017-2019)
Aggregate: 74.40% ( Ranked 1st in the class)
B.Tech (Electrical & Electronics Eng.)
G.M.R. Institute of Technology, Rajam, JNTUK, AP (2014-2017)
CGPA: 9.21 (Gold Medal Scholar)
Diploma (Electrical & Electronics Eng.)
Andhra Polytechnic, Kakinada, State Board of Technical Education and Training (2011-2014)
Aggregate: 93.86%
- Worked as a Junior Research Fellow (JRF) in NIT Trichy from 19-10-2020 to 18-02-2022. Worked in the area of wireless RFID Technology for structural health monitoring. (Mentor – Dr. Geetha Chakaravarthi)
- Project Title – RFID based wireless sensors for surface crack monitoring
- Simulation of Microstrip RFID Tag Antenna sensors for metallic surface crack monitoring, Tool used – ANSYS HFSS
- Tag characterization using Vector Network Analyzer – Measurement of transmission and reflection coefficients, impedance measurement.
- Data acquisition using IZAR UHF RFID Reader using external patch antenna.
- Metallic samples used – Aluminum 6061 T6 industrial grade.
- Assistant System Engineer – Trainee, Tata Consultancy Services from 17-10-2019 to 16-10-2020 (Resigned). Worked in Aerospace design, Avionics Control Systems Offshore Support for Rolls Royce aircraft engine providing engineering services for Electronic Engine Control System (EECS) interfaces. Tools used are – Artisan Modeller, Integrity Configuration tool and Simgen.
- Project Trainee, CSIR – NAL (National Aerospace Laboratories) from 24-09-2018 to 24-07-2019 – worked on developing algorithms for fault detection, localization and diagnosis of rotating machinery (gearbox) faults using vibration signature (condition monitoring). Developed algorithms using Machine Learning Techniques (SVM, LDA). (Mentor – Dr. VPS Naidu)
- Worked in DRDO – GTRE (Gas Turbine Research Establishment) for a month on prosig DATS tool and Flutter analysis of gas turbine blades by using Accelerometer data through visitor pass (June 2019).
- Six Months Industrial Exposure in Kakatiya Thermal Power Station (KTPS) – 1720MW capacity from 16-05-2013 to 16-11-2013 – Spend more time in understanding the framework of power generation industry, electrical maintenance section, control unit, relay section and switch yard.
- Industry 4.0 Pilot Project at Fabrication Components Unit, BEL (GSP2402202) – Deployment stage (May 2025)
- Hands-on exposure to machine connectivity, data retrieval from PLC memory of Heidenhain controller machines for real-time parameter acquisition – CNC Machines.
- Electrical automation – development of ladder logic and deployment in PLC hardware.
- Data flow check & integration through MODBUS RTU Protocol
- Data retrieval through OPC (Open Platform Communication) Unified Architecture protocol from Siemens 840D sl CNC controller
- Electrical hardware/component selection (CT’s, Energy meters, etc.,) and integration with main PLC control panel.
- Industry Accelerator Project: Design and Development of BLDC Coil Winding Machine with the Total Test Bench and Automation for Manufacturing (DPP2202201-6) – Ongoing
- Electrical automation
- Production Monitoring – OEE calculation & IoT dashboard development
- Development of low-cost vibration-based condition monitoring DAQ system in industry 4.0 (Outcome – 01 MTT Journal, 2024 )
- Low-cost embedded microcontroller with MEMS sensor was integrated to acquire the vibration data from the asset under monitoring. FFT was computed at the edge and in real-time acting as a machine health indicator.
- The lab-scale prototype is integrated with the live dashboard indicating the real-time raw data and FFT plot. The computed FFT spectrum response of MEMS vibration sensor was validated with the commercial vibration analyzer tested using vibration exciter on 3 phase induction motor. The response of MEMS-based DAQ system is followed by the commercial OROS vibration analyzer, asserting the reliability of the lab-scale prototype.
- RFID based sensor system to enhance the safety of people in working environment – IEEE RFID TA CHALLENGE 2021 – In this project, we have tried to establish/develop a sensor system based on RFID technology for recording the identity and body temperature of the people in the working environment.
- Tech Project – ‘Design and Development of Algorithms for Gearbox Health Condition Monitoring’ – My research work goes with fault detection and diagnosis using machine learning algorithms. Developed a working model ‘Mahalanobis-ANOVA Criterion (MAC) for optimum feature subset selection algorithm with varying threshold value in the fault diagnosis of rotating machinery’.
- Tech Project – ‘Speed control of BLDC motor using Internet of Things’ – Developed a hardware kit for the application of remote control – giving more importance to automation using Raspberry Pi 3b tool kit as an interfacing device.
- AUTOMATIC IRRIGATION SYSTEM by sensing soil moisture content.
- TERM PAPER: Survey of MICROGRID technology.
- Suresh, S., Narendra Reddy, VPS Naidu, Geetha Chakaravarthi . Gearbox Fault Detection in Industrial and Wind Turbine Applications using a Deterministic GMF Parameter and SVM Algorithm. Manufacturing Technology Today, Accepted (May 2025)
- Suresh, S., Yaswant, S., Narendra Reddy, T., & Vinod, P. (2024). Preliminary investigation on the development of low-cost vibration based condition monitoring DAQ system in industry 4.0. Manufacturing Technology Today, 23(5-6), 1–7. https://doi.org/10.58368/MTT.23.5-6.2024.1-7
- Suresh and G. Chakaravarthi, “Passive UHF RFID-based sensor: Influence of electrical conductivity and localized surface cracks on industrial-grade metal specimens,” 2024 IEEE Microwaves, Antennas, and Propagation Conference (MAPCON), Hyderabad, India, 2024, pp. 1-4, doi: 10.1109/MAPCON61407.2024.10923051.
- Suresh, Setti, and Geetha Chakaravarthi. “A Novel Passive Wireless RFID Sensor for Localized Surface Crack Characterization on Metals.” Measurement, vol. 231, Apr. 2024, p. 114651. https://doi.org/10.1016/j.measurement.2024.114651.
- Setti Suresh, Geetha Chakaravarthi, “A Novel Passive Wireless RFID Sensor for Localized Surface Crack Characterization on Metals”, Measurement Journal, Elsevier, 2024 (Under Review)
- Setti Suresh, M Ravi Prasath, Geetha Chakaravarthi, “In-Situ Surface Crack Detection on Metal Using a Passive Wireless RFID-Based NDT Sensor”, MAPCON 2023, Dec 10-14, IEEE Proceedings
- Setti Suresh, Mohammed Arshad Ali khan, Geetha Chakaravarthi, “RFID Based Embedded System for Automatic Identity and Body Temperature Screening in the Working Environment”, INCOFT 2023, Nov 24-26, IEEE Proceedings
- Setti Suresh, B Rinu Preethi, Geetha Chakavarthi, “Design of a High-Sensitive Chipless RFID Sensor for Surface Crack Characterization on Metals”, INCOFT 2023, Nov 24-26, IEEE Proceedings
- Setti Suresh, Geetha Chakaravarthi, ” Surface Crack Characterization of Aluminium Specimen using Passive Wireless RFID based Tag Antenna Sensor”, URSI Regional Conference on Radio Science (URSI-RCRS), 01-04 Dec., 2022, IEEE proceedings.
- Setti Suresh, Geetha Chakaravarthi, Railway Track Surface Crack Detection using Passive Wireless RFID Sensor: A Preliminary Study, ISNT-NDE conference, Gandhinagar, India, 24-26 Novemeber, 2022.
- Setti Suresh, Geetha Chakaravarthi, VPS Naidu, Wind Turbine Gearbox Vibration Condition Monitoring using Gear Mesh Frequencies and Machine Learning Algorithm, ISNT-NDE conference, Gandhinagar, India, 24-26 Novemeber, 2022.
- Setti Suresh, Geetha Chakaravarthi, RFID technology and its diverse applications: A brief exposition with a proposed Machine Learning approach, Measurement, Volume 195, 2022, 111197, ISSN 0263-2241. (Q1-SCI)
- Suresh S, Naidu V. “Mahalanobis-ANOVA criterion for optimum feature subset selection in multi- class planetary gear fault diagnosis”. Journal of Vibration and Control, June 2021. doi:10.1177/10775463211029153. (Q1-SCI)
- Suresh S., Naidu V.P.S. (2021) Gearbox Health Condition Monitoring Using DWT Features. In: Rao J.S., Arun Kumar V., Jana S. (eds) Proceedings of the 6th National Symposium on Rotor Dynamics. Lecture Notes in Mechanical Engineering. Springer, Singapore.
- Setti Suresh, M Srinivas & VPS Naidu, “Vibration Analysis of Gearbox Fault Diagnosis using DWT and Statistical Features” Journal of Engineering Research, Sept. 2021, https://doi.org/10.36909/jer.online .
- Setti Suresh & VPS Naidu, “Vibration Analysis of Heterogeneous Gearbox Faults using EMD Features and SVM Classifier”, ICMPT 2019 Conference Proceedings, IIT Madras, pg no. 175-180, July 11-13, 2019 [doi:10.1088/1757-899X/624/1/012032].
- Setti Suresh & VPS Naidu, “Gearbox Health Condition Monitoring: A brief exposition”, Control and Data Fusion (CADF), e-Journal, Vol.2 No.4, pp. 13-23, Jul-Aug 2018.
Research & Awards:
- URSI/InRaSS Young Scientist Award (2022) for the work titled “Surface crack characterization of aluminium specimen using passive wireless RFID based tag antenna sensor” presented at URSI Regional Conference on Radio Science (RCRS) (December 2022)
- Award Winner – 1st Place in the IEEE RFID TA CHALLENGE 2021 (October 2021)
GATE Exam:
Qualified GATE Exam in Electrical Stream (2017, 2018, 2019, 2025 – AIR 4970)
UGC NET Exam:
Qualified UGC NET Exam in Electronic Science for JRF & Assistant Professor (December 2020 & June 2021 merged session)
Academic Achievements:
- Received Gold Medal from GMRIT for being branch topper in the academics in B.Tech (2017)
- Shri. B. V. Nageswara Rao Scholastic award for best outgoing student from EEE branch from GMRIT Foundation (Gold Medal – 2017)
- Received Rs. 13,000 Scholarship for being merit student and branch topper, from GMR Foundation (March- 2016, 2017)
- Received Letter Head for organizing National Level Spot Event named CIRCUIT ART in Step Cone 2K16+ (January-2016)
- State First in Type Writing (Higher grade 45WPM) in English (2015)
Sports Achievements:
Runner-up in Badminton (singles) at college level Inter-Polytechnic games (Andhra Polytechnic – 2014 & IST-JNTU-Kakinada – 2018)
