Dr. G Lakshmi Sutha

Dean (Academic)

Associate Professor

Department of ECE

National Institute of Technology Puducherry

(Under Ministry of Education, Govt. of India)

Karaikal 609609

E-mail: lakshmi@nitpy.ac.in, lakshmi.sutha1@gmail.com

 

Educational Qualifications

 

 

Professional Experience

 

Teaching:

 

Research:

 

 Research Interests

 

 

Funded Projects

 

Startups


Director,  

ATRIEL India Pvt. Ltd.,

Address: NIT Puducherry - 609609 

Reg. No. U74999TN2021PTC142733 


Patents Granted 


1.   A generalized system to perform real-time frame blocking on streaming samples of the digital signals, Inventors: Satya Sai Srinivas Nettimi, Sugan Nagarajan, Lakshmi Sutha Kumar, Malaya Kumar Nath, Aniruddha Kanhe, Patent No. 394994, Granted on 19/01/2021.

2.    Dense residual network for decision making of large intra-class variability in the raw panchromatic satellite image, Inventors: G. Lakshmi Sutha, G. Rohith, Patent No. 483450, Granted on 15th December 2023

3.    A digital electronic system for windowing the time-sampled signal segments using Hamming and Hanning windows, Inventors: Satya Sai Srinivas Nettimi, Sugan Nagarajan, Lakshmi Sutha Kumar, Malaya Kumar Nath, Aniruddha Kanhe, Patent No. 506452, Granted on 2nd February 2024.

Research Supervision:


PH.D. Guidance

Completed

1.     Dr. A. Pugazhenthi (Title: Extraction of Clouds from Satellite Data and Cloud Attenuation Calculations for Earth-Space Applications)

2.  Dr. G. Rohith (Title: Analysis of Super-Resolution using Deep Learning Techniques for Remote Sensing Applications)

3.  Dr. R. Nagaraj (Title: Water body extraction from satellite images using machine learning and deep learning algorithms)

4.  Dr. Nettimi Satya Sai Srinivas (Title: FPGA-based Design of Ready-To-Use and Configurable IP Cores for Rapid Implementation of MFCC Feature Extraction System in Speech Applications)

Ongoing

5.   Mr. N. Sugan (Title: Performance Comparison of Different Cepstral Features for Speech Emotion Recognition using SVM classifier)

6.   Mr. P. R. Sreesh (Title: Design of Optimization Techniques for the FPGA implemented Speech (word) and Emotion Recognition Systems)

7.    Mrs. M. Anitha (Title: Evaluation of Aerosol Parameters and MODIS AOD Bias Correction from AERONET Data Using Machine Learning and Deep Learning Techniques)

8.  Ms. B. Jayanthi (Title: Hardware Implementation of Convolutional Neural Networks for Image Processing Applications)

9.   Mrs. C. Suneetha (Title: Convolutional Neural Networks for Image Processing Applications and its Hardware Implementation)

10. Mrs. S. Anitha (Title: FPGA implementation of Voice Pathology Detection System using CNN from Speech Signals)

PG Projects Guided

1.    Experimental verification of acoustic communication along metallic drill pipes, Completed in 2014.

2.   eSE Based Secure Service Development in Trusted Execution Environment, Completed in 2020.

3.   Machine Learning Approaches for precipitation prediction based on Meteorological Observations, Completed in 2021. 

4.  Aerosol Classification using Machine Learning Algorithms, Completed in 2021. 

5.  Implementation of Convolutional Neural Networks (CNN) on FPGA, Completed in 2022. 

6. Object Detection, Modeling and Simulation of a Robot Operating System based Robotic Arm, Completed in 2023.

7.  FPGA Implementation of SVM Linear classifier for Parkinson’s Disease Detection, Completed in 2024.

8. Implementation of IoT-Based Vehicle Theft Detection and Accident Detection System, Completed in 2024 

UG Projects Guided

1.    Physical Layer Design for Acoustic Downhole Drillstring Telemetry, Completed in 2011.

2.       Wireless transceiver design and performance evaluation, Completed in 2011.

3.      Experimental Verification of Acoustic Communication along Drill Pipes, Completed in 2012.

4.      Acoustic Data Communication for Industrial Drilling Applications, Completed in 2011.

5.      Atmospheric Refractivity Profile using the Radiosonde Data in Indian Region, Completed in 2015.

6.     Calculation of Cloud attenuation at C, Ku and Ka band frequencies over Indian region, Completed in 2015.

7.     Globally accessible machine automation of electronic gadgets, Completed in 2015.

8.     GPS Radio Occultation data comparison with Radiosonde within Indian Region, Completed in 2016.

9.     Design and simulation of Radio Frequency Identification (RFID) antennas, Completed in 2016.

10.  Design of border alert system with automatic engine shutdown, Completed in 2017.

11.  Smart home energy management system using cloud computing, Completed in 2017.

12.  Smart doorbell using Internet of Things, Completed in 2018.

13.  Intelligent street light controlling system using Zigbee network, Completed in 2018.

14.  Sign Languages to Speech Conversion, Completed in 2019.

15.  Autonomous Chess-playing Robotic Arm, Completed in 2019.

16.  Smart Library Management System using RFID Technology, Completed in 2020.

17.  An Audio Aided Face and Text Recognition System for Visually Impaired, Completed in 2020.

18.  Image Generation and Enhancement using Generative Adversarial Network, Completed in 2021.

19.  Extraction and Analysis of Aerosol Optical Depth from MODIS Satellite and AERONET, Completed in 2021.

20.  Performance Analysis of Non- Orthogonal Multiple Access for 5G, Completed in 2021. 

21. Smart Air Pollution Monitoring and Control Prototype, Completed in 2022. 

22. Rainfall Prediction using Machine Learning Algorithms, Completed in 2022. 

23. IoT based Dynamic Road Traffic Management System, Completed in 2023. 

24. Water Depth Analysis using Machine Learning and Deep Learning Techniques, Completed in 2023. 

25. Parkinson’s Disease Detection and Severity Estimation from Speech Signal using Machine Learning and Deep Learning Techniques, FPGA Acceleration Speech Analysis, Completed in 2024.

26. Smart Banana Leaf Disease Classifier using Convolutional Neural Network, Completed in 2024.

Publications


Books:

 

G. Rohith and G. Lakshmi Sutha, “Super-Resolution for Remote Sensing Applications using Deep Learning Techniques,” Cambridge Scholars Publishing, ISBN: 1-5275-9134-4,

ISBN13: 978-1-5275-9134-9, Pages: 226, https://www.cambridgescholars.com/product/978-1-5275-9134-9

 

International Journals:

 

International Conferences:

National Conferences:

Academic Contributions

 

Courses Taught at UG/PG Level:

 

 

Laboratory Development:

 


Academic and Administrative Responsibilities (Institute Level)  

 

 

Administrative Responsibilities at NIT Puducherry (Department Level) 

 

 

Conferences Organized

 

 

Workshops/FDPs Organized

 

 

Prizes/Awards/Rank/Fellowship Received:

 

 

Membership in Professional bodies

 

 

Significant Outreach Activities