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Dr. M Muthulakshmi

Assistant Professor (Sl. Gd.), Department of Electronics and Communication Engineering, School of Computing, Nagercoil

Qualification: B. Tech., M.E., Ph.D
m_muthulakshmi@nc.amrita.edu
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Scopus Author ID
Research Interest: Integrating data science and computational engineering with biomedical applications

Bio

Dr. M. Muthulakshmi, is currently working as an Assistant Professor (Selection Grade) in the Department of Electronics and Communication Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Nagercoil, India. She has 2 years of industry, 5 years of research and 8 years of academic experience. She completed her PhD from Anna University, Chennai, India, in Cardiovascular Magnetic Resonance Image Processing and Master’s degree in Embedded System Technologies from the same University. She received her B.Tech. in Electronics and Communication Engineering from National Institute of Technology, Tiruchirappalli. She has published 7  scopus indexed journals and 35 scopus indexed conference proceedings, 2 books and has been granted one patent and 1 copyright. She is recipient of INSA Visiting Scientist Fellowship, DST-SERB Junior Research Fellowship, Anna Centenary Research Fellowship and M.E. Gold Medalist. Her research area includes integrating computational engineering and biomedical applications. She is interested in developing wearables, embedded system model, for veterinary health care, public health using signal processing, image processing and machine learning algorithms. She has worked with cardiovascular magnetic resonance images for diagnosis of severity levels of heart failure and dental images for identification of cavities. Currently started her analysis with heart sound signal, respiratory sound signal, animal respiratory health monitoring, lung CT scans, and X-ray images. She is a member of IEEE, Signal Processing Society, Engineering in Medicine and Biology Society.

She is interested in developing wearables and embedded system models for veterinary health care and public health, using signal processing, image processing, and machine learning algorithms. She has worked with cardiovascular magnetic resonance images for the diagnosis of severity levels of heart failure and dental images for the identification of cavities. She has currently started her analysis with lung auscultations, ECG signals, heart sound signals, pig respiratory health monitoring, lung CT scans, and X-ray images.

Publications

Conference Proceedings

Year : 2025

Secure Encryption of Satellite Images Using S-Box-Based Two-Fish Algorithm and A Novel Chaotic Map

Cite this Research Publication : R. Jansi, K. Ashwini, N. Aishwarya, M. Muthulakshmi, M. Logeshwari, Mukesh Kanna, Secure Encryption of Satellite Images Using S-Box-Based Two-Fish Algorithm and A Novel Chaotic Map, Lecture Notes in Electrical Engineering, Springer Nature Singapore, 2025, https://doi.org/10.1007/978-981-97-9578-9_44

Publisher : Springer Nature Singapore

Year : 2025

Assistive Study on Paediatric Pulmonology With Respiratory Sounds

Cite this Research Publication : Thota Rishika Sree, Pabbisetty Harshini, M Muthulakshmi, N Ahana Priyanka, Assistive Study on Paediatric Pulmonology With Respiratory Sounds, 2025 International Conference on Artificial Intelligence and Data Engineering (AIDE), IEEE, 2025, https://doi.org/10.1109/aide64228.2025.10986904

Publisher : IEEE

Year : 2025

Effective Date Fruit Type Detection Using Activation Configuration Tuned State of the Art Deep CNN Architectures

Cite this Research Publication : Muthulakshmi M, Yasashwini Sai Gowri P, Effective Date Fruit Type Detection Using Activation Configuration Tuned State of the Art Deep CNN Architectures, 2025 3rd International Conference on Smart Systems for applications in Electrical Sciences (ICSSES), IEEE, 2025, https://doi.org/10.1109/icsses64899.2025.11010022

Publisher : IEEE

Year : 2025

Enhanced Coconut Tree Disease Classification Using ResNet50, EfficientNetB0, and DenseNet-201 with Comparative Analysis of Activation Functions

Cite this Research Publication : M. Muthulakshmi, Desai Varun Prasad, Murarisetty V. Sai Kartheek, Narayanam Sai Bhagawan, Enhanced Coconut Tree Disease Classification Using ResNet50, EfficientNetB0, and DenseNet-201 with Comparative Analysis of Activation Functions, 2025 International Conference on Next Generation Communication & Information Processing (INCIP), IEEE, 2025, https://doi.org/10.1109/incip64058.2025.11019342

Publisher : IEEE

Year : 2024

Comparative Study of EfficientNet and MobileNet Models for Lung Cancer Classification Using Chest CT Scan Images

Cite this Research Publication : Muthulakshmi M, K. Venkatesan, Harigaran R, Jeevanantham K, Sri Varshan P, Vineeth MS, Syarifah Bahiyah Rahayu, Sakthivel V, Comparative Study of EfficientNet and MobileNet Models for Lung Cancer Classification Using Chest CT Scan Images, 2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE), IEEE, 2024, https://doi.org/10.1109/ic-etite58242.2024.10493412

Publisher : IEEE

Year : 2024

Breathalytics: Deep Learning-Based Prediction of Abnormality in Respiratory Sounds using Continuous Wavelet Transform

Cite this Research Publication : R Amrita Laasya, M Muthulakshmi, Breathalytics: Deep Learning-Based Prediction of Abnormality in Respiratory Sounds using Continuous Wavelet Transform, 2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT), IEEE, 2024, https://doi.org/10.1109/aiiot58432.2024.10574690

Publisher : IEEE

Year : 2024

Neuro-Cognitive Pattern Recognition: Advancements in Memory-Related Disorders Identification

Cite this Research Publication : Vifert Jenuben Daniel. V, Archanaa. N, Mohammed Faheem, Kousihik. K, Suwin Kumar. J.D.T, M. Muthulakshmi, Neuro-Cognitive Pattern Recognition: Advancements in Memory-Related Disorders Identification, 2024 International Conference on Emerging Smart Computing and Informatics (ESCI), IEEE, 2024, https://doi.org/10.1109/esci59607.2024.10497280

Publisher : IEEE

Year : 2024

Deep Learning For Enhanced Detection and Characterization Of Pulmonary Nodules

Cite this Research Publication : G Lavanya, M Muthulakshmi, Manohar Latha, A Keerthinathan, P Vishal Krishh, Sheba Sulthana, Meka Kavya Uma Meghana, Deep Learning For Enhanced Detection and Characterization Of Pulmonary Nodules, 2023 4th International Conference on Intelligent Technologies (CONIT), IEEE, 2024, https://doi.org/10.1109/conit61985.2024.10626349

Publisher : IEEE

Year : 2024

Body Weight Prediction of Goats: A Computer Vision Approach

Cite this Research Publication : M Muthulakshmi, M Akashvarma, G Yashaswini, E Keerthana, S Siddharth, K Saipooja, P Selvaraj, Body Weight Prediction of Goats: A Computer Vision Approach, 2023 4th International Conference on Intelligent Technologies (CONIT), IEEE, 2024, https://doi.org/10.1109/conit61985.2024.10627671

Publisher : IEEE

Year : 2024

A Squeeze-Excitation ResNet Approach for Effective Classification of Parasitic Eggs

Cite this Research Publication : Muthulakshm M, K Venkatesan, Syarifah Bahiyah Rahayu, Karthickeien Elangovan, A Squeeze-Excitation ResNet Approach for Effective Classification of Parasitic Eggs, 2024 International Visualization, Informatics and Technology Conference (IVIT), IEEE, 2024, https://doi.org/10.1109/ivit62102.2024.10692960

Publisher : IEEE

Year : 2024

Leveraging DenseNet Features for Machine Learning Based Lung Disease Diagnosis From X-Rays

Cite this Research Publication : M Muthulakshmi, Suvetha SP, V Divya, Leveraging DenseNet Features for Machine Learning Based Lung Disease Diagnosis From X-Rays, 2024 First International Conference for Women in Computing (InCoWoCo), IEEE, 2024, https://doi.org/10.1109/incowoco64194.2024.10863144

Publisher : IEEE

Year : 2024

Deep Learning Based Thyroid Tumor Prediction

Cite this Research Publication : Muthulakshmi M, Harsha Vardhan A, Veda Sampreetha M, Hanuma Siva Sairam A, Syfullah Sd, Sriram K, Deep Learning Based Thyroid Tumor Prediction, 2024 Intelligent Systems and Machine Learning Conference (ISML), IEEE, 2024, https://doi.org/10.1109/isml60050.2024.11007448

Publisher : IEEE

Year : 2024

Super -Resolution Performance: A Comparative Analysis of SRGAN and ESRGAN Techniques for Single Image Restoration

Cite this Research Publication : Mandava Sukesh, Muthulakshmi Muthunayagam, Manohar Latha, Super -Resolution Performance: A Comparative Analysis of SRGAN and ESRGAN Techniques for Single Image Restoration, 2024 Intelligent Systems and Machine Learning Conference (ISML), IEEE, 2024, https://doi.org/10.1109/isml60050.2024.11007359

Publisher : IEEE

Year : 2024

Hand Gesture Recognition Using EMG Sensors

Cite this Research Publication : M Muthulakshmi, AC Sakkthi Saranya, Niveaditha VR, Akhil Sachin, Vimal Dharan, Sona B, Jaya Krishna Suddapalli, Varshni M, Hand Gesture Recognition Using EMG Sensors, 2024 Intelligent Systems and Machine Learning Conference (ISML), IEEE, 2024, https://doi.org/10.1109/isml60050.2024.11007336

Publisher : IEEE

Year : 2024

An Algorithmic Approaches for Maximizing Return on Investment (ROI) Using Simple Moving Average (SMAC)

Cite this Research Publication : Ts. Syarifah Bahiyah Rahayu, K. Venkatesan, Siti Syahindah Mohamad Sokri, Y B R. Krishna Vamshi, M. Muthulakshmi, An Algorithmic Approaches for Maximizing Return on Investment (ROI) Using Simple Moving Average (SMAC), 2024 Intelligent Systems and Machine Learning Conference (ISML), IEEE, 2024, https://doi.org/10.1109/isml60050.2024.11007337

Publisher : IEEE

Year : 2023

Comparing YOLOV3, YOLOV5 & YOLOV7 Architectures for Underwater Marine Creatures Detection

Cite this Research Publication : Shankar R, Muthulakshmi M, Comparing YOLOV3, YOLOV5 & YOLOV7 Architectures for Underwater Marine Creatures Detection, 2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE), IEEE, 2023, https://doi.org/10.1109/iccike58312.2023.10131703

Publisher : IEEE

Year : 2019

Deep CNN with LM learning based myocardial ischemia detection in cardiac magnetic resonance images

Cite this Research Publication : M. Muthulakshmi, G. Kavitha, Deep CNN with LM learning based myocardial ischemia detection in cardiac magnetic resonance images, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, 2019, https://doi.org/10.1109/embc.2019.8856838

Publisher : IEEE

Journal Article

Year : 2025

Comparative analysis of resource-efficient YOLO models for rapid and accurate recognition of intestinal parasitic eggs in stool microscopy

Cite this Research Publication : Kotteswaran Venkatesan, Muthunayagam Muthulakshmi, Balaji Prasanalakshmi, Elangovan Karthickeien, Harshini Pabbisetty, Rahayu Syarifah Bahiyah, Comparative analysis of resource-efficient YOLO models for rapid and accurate recognition of intestinal parasitic eggs in stool microscopy, Intelligence-Based Medicine, Elsevier BV, 2025, https://doi.org/10.1016/j.ibmed.2025.100212

Publisher : Elsevier BV

Year : 2025

An intelligent ensemble EfficientNet prediction system for interpretations of cardiac magnetic resonance images in heart failure severity diagnosis

Cite this Research Publication : Muthunayagam Muthulakshmi, Kotteswaran Venkatesan, Balaji Prasanalakshmi, Rahayu Syarifah Bahiyah, Vijayakumar Divya, An intelligent ensemble EfficientNet prediction system for interpretations of cardiac magnetic resonance images in heart failure severity diagnosis, Intelligence-Based Medicine, Elsevier BV, 2025, https://doi.org/10.1016/j.ibmed.2025.100218

Publisher : Elsevier BV

Year : 2025

Customized Spectro-Temporal CNN Feature Extraction and ELM-Based Classifier for Accurate Respiratory Obstruction Detection

Cite this Research Publication : M. Muthulakshmi, K. Venkatesan, Syarifah Bahiyah Rahayu, K. L. Nayana Sree, Customized Spectro-Temporal CNN Feature Extraction and ELM-Based Classifier for Accurate Respiratory Obstruction Detection, IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), 2025, https://doi.org/10.1109/access.2025.3581271

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2024

Potato Leaf Disease Detection and Classification With Weighted Ensembling of YOLOv8 Variants

Cite this Research Publication : Muthunayagam Muthulakshmi, Nagasubramanian Aishwarya, Rajes Kumar Vinesh Kumar, Babu Rakesh Thoppaen Suresh, Potato Leaf Disease Detection and Classification With Weighted Ensembling of YOLOv8 Variants, Journal of Phytopathology, Wiley, 2024, https://doi.org/10.1111/jph.13433

Publisher : Wiley

Year : 2021

Identification of systolic and diastolic heart failure progression with Krawtchouk moment feature-aided Harris hawks optimized support vector machine

Cite this Research Publication : Muthulakshmi Muthunayagam, Kavitha Ganesan, Identification of systolic and diastolic heart failure progression with Krawtchouk moment feature-aided Harris hawks optimized support vector machine, Signal, Image and Video Processing, Springer Science and Business Media LLC, 2021, https://doi.org/10.1007/s11760-021-01978-3

Publisher : Springer Science and Business Media LLC

Year : 2020

An integrated multi-objective whale optimized support vector machine and local texture feature model for severity prediction in subjects with cardiovascular disorder

Cite this Research Publication : Muthulakshmi, M., Kavitha, G. An integrated multi-objective whale optimized support vector machine and local texture feature model for severity prediction in subjects with cardiovascular disorder, International Journal of Computer Assisted Radiology and Surgery, Springer, 15, pages 601–615 (2020). https://doi.org/10.1007/s11548-020-02133-y (Impact Factor: 2.924)

Publisher : International Journal of Computer Assisted Radiology and Surgery, Springer, 15, pages 601–615 (2020).

Year : 2020

Cardiovascular Disorder Severity Detection Using Myocardial Anatomic Features Based Optimized Extreme Learning Machine Approach

Cite this Research Publication : MuthulakshmiMuthunayagam, KavithaGanesan, “Cardiovascular Disorder Severity Detection Using Myocardial Anatomic Features Based Optimized Extreme Learning Machine Approach”, IRBM, Elsevier, In Press, Corrected Proof, Available online 25 June 2020. https://doi.org/10.1016/j.irbm.2020.06.004 (Impact Factor: 1.856)

Publisher : IRBM, Elsevier

Year : 2018

Analysis of Myocardial Ischemia from Cardiac Magnetic Resonance Images Using Adaptive Fuzzy-Based Multiphase Level Set

Cite this Research Publication : Muthulakshmi M., Kavitha G. (2018) Analysis of Myocardial Ischemia from Cardiac Magnetic Resonance Images Using Adaptive Fuzzy-Based Multiphase Level Set. In: Nandi A., Sujatha N., Menaka R., Alex J. (eds) Computational Signal Processing and Analysis. Lecture Notes in Electrical Engineering, vol 490. Springer, Singapore, pp.11-22. (ISBN 978-981-10-8353-2) DOI:https://doi.org/10.1007/978-981-10-8354-9_2

Publisher : Springer

Year : 2018

Detection of Schizophrenia Disorder from Ventricle Region in MR Brain Images via Hu Moment Invariants Using Random Forest

Cite this Research Publication : Latha M., Muthulakshmi M., Kavitha G. (2018) Detection of Schizophrenia Disorder from Ventricle Region in MR Brain Images via Hu Moment Invariants Using Random Forest. In: Bhattacharyya S., Gandhi T., Sharma K., Dutta P. (eds) Advanced Computational and Communication Paradigms. Lecture Notes in Electrical Engineering, vol 475. Springer, Singapore, pp. 213-223. https://doi.org/10.1007/978-981-10-8240-5_24 (ISBN 978-981-10-8239-9)

Publisher : Springer

Conference Paper

Year : 2024

Comparative Analysis of EfficientNet Models for differentiation of Ischemic and Non-Ischemic Diabetic Foot Ulcers

Cite this Research Publication : Muthulakshmi M and Amrita Laasya R, “Comparative Analysis of EfficientNet Models for differentiation of Ischemic and Non-Ischemic Diabetic Foot Ulcers”, 2023 IEEE 20th India Council International Conference (INDICON), 14-17 December 2023, Hyderabad, India, pp. 1347-1352, Feb 2024

Publisher : IEEE

Year : 2024

Emotion State Detection Using EEG Signals—A Machine Learning Perspective

Cite this Research Publication : Geethika Naidu Pula, Harshita S, Jayanth Adhitya C M, Bashpika Tadikonda, Manikumar V S S S R and Muthulakshmi M “Emotion State Detection Using EEG Signals—A Machine Learning Perspective”, SMARTCOM 2024 (International Conference on Smart Trends in Computing and Communications), 12-13 January, 2024, Pune, India, In: Senjyu, T., So–In, C., Joshi, A. (eds) Smart Trends in Computing and Communications. SmartCom 2024 2024. Lecture Notes in Networks and Systems, vol 947, pp. 471-481. Springer, Singapore

Publisher : Springer

Year : 2024

Implementation of Convolutional Neural Network Malarial Cells Detection

Cite this Research Publication : Venkatesan K, Syarifah Bahiyah Rahayu, Muthulakshmi M, Vishnu Priya Velkur, “Implementation of Convolutional Neural Network Malarial Cells Detection”, 2024 IEEE International Conference on Computer, Communication and Internet of things - (IC3IoT - 2024), Sri Sairam Engineering College, Tambaram, Chennai, India, 17th& 18th April, 2024, pp. 1-6.

Publisher : IEEE

Year : 2024

Comparison of Deep Learning Models for Efficient Classification of Gastric Abnormalities

Cite this Research Publication : Ramesh Munirathinam, M Latha, M Muthulakshmi, Maram Prathibha Reddy, Naveen A, M Tamilnidhi, “Comparison of Deep Learning Models for Efficient Classification of Gastric Abnormalities”, Tenth International Conference on Biosignals, Images, and Instrumentation (ICBSII-2024), 20-22nd March 2024, SSN College of Engineering, Chennai, India, pp. 1-7

Publisher : Tenth International Conference on Biosignals, Images, and Instrumentation (ICBSII-2024)

Year : 2024

Manifold Cervical Abnormality Categorization using Deep Learned Features and Support Vector Machine

Cite this Research Publication : Ramesh Munirathinam, M Muthulakshmi, M Latha, Kotagiri Uttejitha, Naveen A, M Tamilnidhi, “Manifold Cervical Abnormality Categorization using Deep Learned Features and Support Vector Machine”, Tenth International Conference on Biosignals, Images, and Instrumentation (ICBSII-2024), 20-22nd March 2024, SSN College of Engineering, Chennai, India, pp. 1-6

Publisher : Tenth International Conference on Biosignals, Images, and Instrumentation (ICBSII-2024)

Year : 2023

Real-Time Pig Vocal Analysis for Early Respiratory Infection Study

Cite this Research Publication : M. Muthulakshmi, Shankar R, Nikitha Reddy Nalla, Regadamilli Amrita Laasya, “Real-Time Pig Vocal Analysis for Early Respiratory Infection Study”, 2023 IEEE 20th India Council International Conference (INDICON), 14-17 December 2023, Hyderabad, India, pp. 630-635, Feb 2024.

Publisher : IEEE

Year : 2023

Pelican optimized extreme learning machine based prognosis of heart failure using textural patterns in CMR images

Cite this Research Publication : M Muthulakshmi, K Ashwini, R Jansi, Pulimi Keerthi, Batchu Bhanu Sai Mani Kiran, Nimmagadda Greeshma, “Pelican optimized extreme learning machine based prognosis of heart failure using textural patterns in CMR images”, IEEE Technology and Engineering Management Society Conference: Asia-Pacific, TEMSCON-ASPAC 2023, Bengaluru, India, 14 -16 December, pp. 1-6

Publisher : IEEE

Year : 2022

Diagnosis of acute respiratory syndromes from x-rays using customised CNN architecture

Cite this Research Publication : S Palaniappan, S. Varshaa Sai Sripriya, Amalladinna Rama Lalitha Pranathi, M. Muthulakshmi “Diagnosis of acute respiratory syndromes from x-rays using customised CNN architecture”, IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET2022), pp. 1-5, 13 to 15 September2022, Kota Kinabalu, Malaysia. ISBN: 978-1-6654-6837-4
doi: 10.1109/IICAIET55139.2022.9936750

Publisher : IEEE

Year : 2022

Analysis of myocardial infarction in CMR images using hybrid level set based segmentation and regional ventricle contractility analysis

Cite this Research Publication : M. Muthulakshmi, G. Kavitha, “Analysis of myocardial infarction in CMR images using hybrid level set based segmentation and regional ventricle contractility analysis”, 2022 Second International Conference on Advances in Electrical, Computing, Communications and Sustainable Technologies (ICAECT 2022), 21-22 April 2022, SSTC, Bhilai, Chhattisgarh,pp. 1-5

Publisher : IEEE

Year : 2022

Contrast Enhanced Multi-Modal Image Fusion using Top hat Transform and Sparse Dictionary

Cite this Research Publication : Aishwarya N., Muthulakshmi M and Sakthi Abirami B., “Contrast Enhanced Multi-Modal Image Fusion using Top hat Transform and Sparse Dictionary”, 6th IEEE International Conference on Trends in Electronics and Informatics (ICOEI 2022), at SCAD College of Engineering and Technology, Tirunelveli, from 28-30 April 2022, pp. 01-07

Publisher : IEEE

Year : 2022

Multi-Objective Butterfly Optimization for Feature and classifier parameter’s selection in Diagnosis of Heart Failure types using CMR images

Cite this Research Publication : M. Muthulakshmi, G. Kavitha and N. Aishwarya, “Multi-Objective Butterfly Optimization for Feature and classifier parameter's selection in Diagnosis of Heart Failure types using CMR images”, 2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT), 23-25 September 2022, pp. 01-06

Publisher : IEEE

Year : 2021

Integrated Harris Hawks Optimization Based Classifier: An Approach To Cardiovascular Disorder Prediction

Cite this Research Publication : M. Muthulakshmi, G. Kavitha, “Integrated Harris Hawks Optimization Based Classifier: An Approach To Cardiovascular Disorder Prediction”, AIP Conference Proceedings, vol. 2336(1), 050015 (2021). https://doi.org/10.1063/5.0045713

Publisher : AIP Conference Proceedings

Year : 2019

Assessment of Cardiovascular Disorders Based on 3D Left Ventricle Model of Cine Cardiac MR Sequence

Cite this Research Publication : Muthulakshmi M., Kavitha G. (2020) Assessment of Cardiovascular Disorders Based on 3D Left Ventricle Model of Cine Cardiac MR Sequence. In: Satapathy S., Raju K., Shyamala K., Krishna D., Favorskaya M. (eds) Advances in Decision Sciences, Image Processing, Security and Computer Vision. ICETE 2019. Learning and Analytics in Intelligent Systems, vol 3. Springer, Cham, pp. 661-670. ISSN 2662-3447
https://doi.org/10.1007/978-3-030-24322-7_78.

Publisher : Advances in Decision Sciences, Image Processing, Security and Computer Vision

Year : 2018

Local Region with Optimized Boundary Driven Level Set Based Segmentation of Myocardial Ischemic Cardiac MR Images

Cite this Research Publication : Muthulakshmi M., Kavitha G. (2018) Local Region with Optimized Boundary Driven Level Set Based Segmentation of Myocardial Ischemic Cardiac MR Images. In: Bhattacharyya S., Chaki N., Konar D., Chakraborty U., Singh C. (eds) Advanced Computational and Communication Paradigms. Advances in Intelligent Systems and Computing, vol 706. Springer, Singapore, pp. 7-18. https://doi.org/10.1007/978-981-10-8237-5_2 (ISBN 978-981-10-8237-5)

Publisher : Advanced Computational and Communication Paradigms. Advances in Intelligent Systems and Computing

FDP / Workshops
  1. Attended NAAC-Webinar series-3:On Contribution of women IQAC Directors in institutionalizing quality culture in HEI on 11.05.23
  2. Attended one week high end workshop on “Wearable Intelligent Devices: Next Generation Technology” organized by DST-SERB, IIITDM, Kancheepuram, from 15th Feb to 22nd Feb 2023.
  3. Attended FDP on “Arm India Designing and Modelling of IoT, AI & ML Systems” organized by AICTE, ARM Education and STMicroElectronics from 1st Aug to 5th Aug 2022.
  4. Attended Intel IoT FDP Five days Training Program “Intelligent Systems for Smart Future” organized by Amrita School of Engineering, Chennai and Intel from 11th July to 15th July 2022.
  5. Completed AICTE Training And Learning (ATAL) Academy Online Elementary FDP on ” EXCELLENCE IN ACADEMIC LEADERSHIP” from 07/01/22 to 11/01/2022 at PSG College of Technology.
  6. Completed AICTE Training And Learning (ATAL) Academy Online Elementary FDP on “Advance Statistical & Machine Learning Models (ASMLM-2021)” from 15/12/2021 to 19/12/2021 at Indian Institute of Information Technology Ranchi.
  7. Attended IEEE STEM summit from 1st November to 6th November 2021.
  8. Attended Webinar: Go Spartan-7! Rapid Prototyping with the SP701 Evaluation Kit! Organized by Xilinx on 21.10.2021 from 7.30 pm to 8.30 pm.
  9. Attended one day workshop on IPR and innovations Organized by IQAC and Research cell of Amrita School of Engineering, Chennai on 30.10.2021
  10. Attended online Webinar: Identifying the Bad Apple: Augmenting Edge Intelligence with Classical Computer Vision! Organized by Xilinx on 19.10.2021 from 7.30 pm to 8.30 pm.
  11. Attended one-day Hands-on training on Deep learning with MATLAB conducted by CIT-TLC on 26 May 2020.
  12. Attended two days hands-on training programme on LABVIEW conducted by National Instruments held during 14th-15th February 2019, organized by Department of Electronics Engineering, Madras Institute of Technology, Anna University, Chennai.
  13. Attended three days UPE workshop on “FPGA based system design using NI LABVIEW and CRIO” conducted by UPE – Instrumentation team of MIT Campus, Anna University from 17th to 19th September 2018 at MIT, Chennai, India.
  14. Attended three days MEDTECH HACKTHON conducted by Indian Institute of Technology Madras – Healthcare Technology Innovation Centre MedTech Incubator from 11th to 13th May 2018 at IITM Research Park, Chennai, India.
  15. Attended three days short term course on “MedImg: Workshop on Medical Imaging Techniques, Post Processing and Clinical Applications” held at IIT Delhi, from 14th April to 16th April 2017.
  16. Attended pre-conference tutorial session on “Multicore Architectures” and “VLSI Design-Trends” in connection with 4th International Conference on Signal Processing, Communication and Networking organized by Department of Electronics Engineering, MIT Campus, Anna University, Chennai, on 16th March 2017.
  17. Attended 6th Annual Conference of Indian Association of Cardiac Imaging-2016, held during 4th to 6th November 2016 at Mysuru.
  18. Attended two days workshop on “Machine Learning in Intelligent Image Processing” held during 30th September to 1st October 2016 at SSN College of Engineering, Chennai.
  19. Attended two days workshop on “Recent Trends in Medical Image Processing Techniques and Applications” held during 6th to 7th October 2016 at Anna University CEG Campus, Chennai.
  20. Attended one day hands-on training on Integration of MATLAB Simulink and Xilinx for Image Processing Applications on 29th July 2016 at Anna University Regional Campus, Coimbatore.
Talks Delivered

Research Talks Delivered

  • A session on “Computer vision and AI based smart diagnostic tools in veterinary medicine – Practical”, as part of National Training Programme
    “Recent updates in veterinary imaging, artificial intelligence and machine learning tools in the diagnosis of farm and pet animal diseases”, conducted by TANUVAS, Chennai. The session is conducted on 30/01/2025 between 9.00 am to 10.30 am.
  • Online session on “IoT Hardware platforms”, as part of Summer Certification Course on Innovative IoT, conducted by Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai. The session is conducted on 12/06/2024 between 6.00PM to 7.00PM.
  • Key note address on “Application of Deep learning in respiratory abnormalities study”, as part of 5 days FDP on Recent Trends in Biomedical Applications using AI, organized by Department of Biomedical Engineering, St. Peter’s Institute of Higher Education and Research, Chennai, on 29th Jan 2024, 29th Jan -2nd Feb, 2024.
  • Online session on “Neurorehabilitation”, as part of one-week online Professional Development Programme titled Neurorehabilitation and Stroke Management, organized by Department of Biomedical Engineering, Karpagam Academy of Higher Education, Coimbatore on 23 November 2023, 20-24 Nov 2023.
  • Guest lecture on “Application of Computational Intelligence to Image Processing: Software Framework Support” on 29.09.23 from 9.00 am to 10.00 pm for final year students in Department of Electronics and Communication Engineering, Rajalakshmi Engineering College, Tamil Nadu.

Invited Talks 

  • Virtual Guest lecture on the subject ” Digital Image Processing -EC8093 regulation 2017″ on 01.08.23 from 1.00 pm to 2.30 pm for final year students in Dept of Biomedical Engineering, Chennai Institute of Technology, Tamil Nadu.
  • A webinar on “Creating awareness on doing in-house project with tools and kits” on 12.05.2022 at 11.30 AM at DMI College of Engineering, Chennai, Tamil Nadu.
Membership
  1. Member of IEEE.
  2. Member of IEEE Computational Intelligence Society
  3. Member of IEEE Signal Processing Society
  4. Member of IEEE Engineering in Medicine and Biology Society
Awards
  1. Received INSA Visiting Scientist Fellowship for 2023-24 from INDIAN Science Academy, New Delhi to carry out collaborative research at IIITDM-Kancheepuram.
  2. Ph.D. Thesis has been selected for Best PhD Thesis seminar presentation held at IIIT Gwalior as part of CICT 2022 on 20th November 2022.
  3. Ph.D. Thesis has been selected for certificate of appreciation for publishing in Q1 journal among the Ph.D. graduated in July 2022.
  4. Recipient of Junior Research Fellowship from DST SERB, Government of India.
  5. Recipient of Anna Centenary Research Fellowship for PhD for a period of three years from Center for Research, Anna University.
  6. Resource person for a topic “VLSI Testing” Faculty Development Training Programme on ‘EC 2354 – VLSI DESIGN -2014’ held at St.Joseph’s College of Engineering, Chennai sponsored by Anna University, 8-15 December 2014.
  7. Awarded First Rank in Degree of Master of Engineering in Embedded system Technologies under Faculty of Electrical Engineering.
  8. Presented with Quality Performance Award along with a cheque for Rs. 10,000/- for flawless execution of CADS3 program in Delphi Automotive Systems Private Limited.
  9. Awarded academic proficiency prize for securing Third Rank in V and VI semesters of B.Tech. during 2004-2005.
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