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Dr. Muthulakshmi M.

Assistant Professor (Sr. Gr.), Department of Electronics and Communication Engineering, School of Engineering, Chennai

Qualification: B. Tech., M.E, Ph.D
m_muthulakshmi@ch.amrita.edu
Research Interest: Biomedical image processing, Biomedical signal processing, Machine learning, Deep learning, Data science, Computational intelligence, Human health, Veterinary health, Cardiovascular system, Respiratory system, Embedded, IoT

Bio Publications Academic Qualification Academic Experience Awards & Achievements Memberships of Professional Bodies Subjects Handled Other Achievements
Bio

Dr. M. Muthulakshmi, is currently serving as an Assistant Professor (Senior Grade) in the Department of Electronics and Communication Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Chennai, India. She has 2 years of industry, 5 years of research and 6 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 30 papers in scopus indexed journals and conferences. 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, deep learning 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, Women in Engineering society.

Publications

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

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

Cite this Research Publication : Muthulakshmi M, K.Venkatesan, Harigaran R, Jeevanantham K, Muthulakshmi, 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” Second International Conference on Emerging Trends in Information Technology and Engineering(ic-ETITE'24), 22-23 February 2024, VIT, Vellore, India, pp. 1-6. 10.1109/ic-ETITE58242.2024.10493412

Publisher : Second International Conference on Emerging Trends in Information Technology and Engineering(ic-ETITE'24

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

Comparing yolov3, yolov5 & yolov7 architectures for underwater marine creatures detection

Cite this Research Publication : R. Shankar, M. Muthulakshmi, “Comparing yolov3, yolov5 & yolov7 architectures for underwater marine creatures detection” IEEE 2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE), Dubai, Arab Emirates, 2023, pp. 25-30, 9th-10th March, 2023. ISBN: 979-8-3503-3826-3

Publisher : IEEE

Year : 2023

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 and Mukesh Kanna, “Secure encryption of satellite images using s-box based two-fish algorithm and a novel chaotic map”, ICSDP-2023 (3rd International Conference on Signal & Data Processing 2023), 3-4 November 2023, VIT, Bhopa, India. (Presented)

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

A comparative study of image enhancement techniques to improve deep learning based computer aided covid detection using chest CT images

Cite this Research Publication : R. Shankar, K. M. Gautham Mythireyan, M. Muthulakshmi, “A comparative study of image enhancement techniques to improve deep learning based computer aided covid detection using chest CT images”, International Conference on Innovative Engineering and Technology (ICIET), 1st and 2nd June 2022, DMI College of Engineering, Chennai, Tamilnadu

Publisher : International Conference on Innovative Engineering and Technology (ICIET)

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 : 2019

Detection of degree of abnormality in cardiac magnetic resonance images with segmented left ventricle and deep convolutional neural network

Cite this Research Publication : M. Muthulakshmi, N. Ahanapriyanka, G. Kavitha, “Detection of degree of abnormality in cardiac magnetic resonance images with segmented left ventricle and deep convolutional neural network”, 11th National Conference on Signal processing, Communication & VLSI design (NCSCV’19), Anna University, Regional Campus, Coimbatore, 4th & 5th April 2019, pp. 115-119. ISBN: 978-93-87862-64-7

Publisher : 11th National Conference on Signal processing, Communication & VLSI design (NCSCV’19)

Year : 2019

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

Cite this Research Publication : M. Muthulakshmi, G. Kavitha, “Deep CNN with LM learning based myocardial ischemia detection in cardiac magnetic resonance”, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, 23-27 July 2019, pp. 824-827.
DOI: 10.1109/EMBC.2019.8856838 ISBN: 978-1-5386-1311-5/19/

Publisher : 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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

Book

Year : 2022

Cardiovascular Disorder Severity Analysis in Magnetic Resonance Images

Cite this Research Publication : Muthulakshmi M, “Cardiovascular Disorder Severity Analysis in Magnetic Resonance Images”, Ary Publisher, ISBN-13: 9787484585858

Publisher : Ary Publisher

Journal Article

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 : Muthunayagam Muthulakshmi, GanesanKavitha. Identification of systolic and diastolic heart failure progression with Krawtchouk moment feature-aided Harris hawks optimized support vector machine. SIViP, Springer, In Press, Corrected Proof, Available online 2 July 2021 (2021). https://doi.org/10.1007/s11760-021-01978-3 (Impact Factor: 2.157)

Publisher : SIViP, Springer

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

Year : 2013

Design of Low Power and High Speed Reversible Multiplier

Cite this Research Publication : G. Kanagavalli and M. Muthulakshmi, “Design of Low Power and High Speed Reversible Multiplier”,CiiT International Journal of Programmable Device Circuits and Systems,Vol. 5, No 6, pp. 252-255, ISSN 0974 – 9624, June 2013.

Publisher : CiiT International Journal of Programmable Device Circuits and Systems

Year : 2012

Memetic Algorithm based Parameter Extraction for SOI MOSFET

Cite this Research Publication : M.Muthulakshmi, L. Sheela, “Memetic Algorithm based Parameter Extraction for SOI MOSFET”, In Proc. of National Conference on Advanced VLSI, Image processing and Communication Systems (NAVICS), pp.5-9, 2012.

Publisher : NAVICS

Year : 2012

Parameter Extraction for BSIMSOI4.3 MOSFET Model

Cite this Research Publication : M.Muthulakshmi, L. Sheela, “Parameter Extraction for BSIMSOI4.3 MOSFET Model”, International Journal for Scientific and Engineering Research (IJSER) (ISSN 2229-5518), Vol. 3(5), pp. 270-274, 2012

Publisher : IJSER

Book Chapter

Year : 2018

Image Segmentation using contour models: Dental X-ray image segmentation and analysis

Cite this Research Publication : Kavitha, G. & Muthunayagam, Muthulakshmi & Latha, Manohar. (2018). Image Segmentation Using Contour Models: Dental X-Ray Image Segmentation and Analysis. 10.4018/978-1-5225-6243-6.ch003.

Publisher : IGI Global Publishers

Academic Qualification
Ph.D. Faculty: Faculty of Electrical Engineering (Full-time)
Thesis Title: Cardiovascular disorder severity analysis in magnetic resonance images using texture features and metaheuristic classification algorithms
Institution: Madras Institute of Technology campus, Anna University, Chennai, Tamilnadu, India
Viva Voce Date: 24th March 2022
Master of Engineering Specialization: Embedded system technologies
Institution: Regional center of Anna University, Thirunelveli.
Year of Passing: 2012
Score: 9.5 CGPA, First Class with Distinction
Bachelor of Technology Specialization: Electronics and Communication Engineering
Institution: National Institute of Technology, Tiruchirappalli
Year of Passing: 2006
Score: 9.14 CGPA, First Class with Distinction
Higher Secondary Board: Tamilnadu State Board
Specialization: Maths, Physics, Chemistry and Biology
Institution: Sri Saradha Matriculation Higher Secondary School, Tirunelveli.
Year of Passing: 2002
Score: 95.91% (1151/1200)
High School Board: Tamilnadu Matriculation Board
Institution: Sri Saradha Matriculation Higher Secondary School, Tirunelveli.
Year of Passing: 2000
Score: 89.45% (984/1100)
Academic Experience
Assistant Professor (Sr. Gr.) Department of Electronics and Communication Engineering, Amrita School of Engineering – Chennai, Amrita Vishwa Vidyapeetham, Chennai – 601103 Tamilnadu, India 01.06.22 Present
­Assistant Professor Department of Electronics and Communication Engineering, Amrita School of Engineering – Chennai, Amrita Vishwa Vidyapeetham, Chennai – 601103 Tamilnadu, India 27.09.21 31.5.22
Junior Research Fellow Madras Institute of Technology campus, Anna University, Tamilnadu, India 18.08.2017 20.02.2020
Assistant Professor St. Joseph’s College of Engineering, Chennai. Tamilnadu, India 1.7.2013 9.4.2016
Assistant Professor Sri Lakshmi Ammal Engineering College, Chennai. Tamilnadu, India 5.7.2012 30.4.2013
Software Engineer Delphi Automotive Systems Private Limited, Bangalore. Karnataka, India 17.07.2006 12.09.2008
Awards & Achievements
  1. Received INSA Visiting Scientist Fellowship for 2023-24 from INDIAN Science Academy, New Delhi to carry out collaborative research at IIITDM-Kancheepuram.
  2. 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. 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 Programmeon ‘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.
Memberships of Professional Bodies
  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
  5. Member of NeuroImaging Tools & Resources Collaboratory
  6. Member of International Association of Engineers
Subjects Handled
  • Digital Signal Processing
  • Machine Learning
  • Pattern Recognition
  • Multimedia Image processing
  • Deep learning
  • Introduction to Python
  • Problem Solving and Algorithmic thinking
  • Fundamentals of soft computing
  • Introduction to IoT
Other Achievements
  1. Serving as Doctoral Committee member for 2 research scholars of Amrita Vishwa Vidyapeetham and 1 research scholar of Anna University.
  2. Serving as Reviewer:
    1. IEEE Transactions on Medical Imaging
    2. Biomedical Signal Processing and Control
  3. Delivered anonline 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.
  4. Deliveredkey 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.
  5. Delivered anonline 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.
  6. Mentored student team for various competitions and hackathons: IoT and AI based competition “Techverse 2023” organized by CTS, Coimbatore, “The Byte Bending Championship” organized by T-Works Foundation, Hyderabad, Smart India Hackathon 2022, Machine learning Challenges, Study Australian Entrepreneurship Challenge 2022.
  7. Presented a Guest lecture on “Application of Computational Intelligence to Image Processing: Software Framework Support” on 29.09.23from 9.00 am to 10.00 pm for final year students in Department of Electronics and CommunicationEngineering, Rajalakshmi Engineering College, Tamilnadu.
  8. Organizedone week first year student induction program “Swagatam 2023”.
  9. Presented a virtual Guest lecture on the subject “Digital Image Processing -EC8093 regulation 2017” on 01.08.23from 1.00 pm to 2.30 pm for final year students in Dept of Biomedical Engineering , Chennai Institute of Technology, Tamilnadu.
  10. Served as Reviewer for following conferences: IICAIET 2024, IICAIET 2023, IICAIET 2022 organized by University Malaysia Sabah WISPNET 2024, SSN College of Engineering, Chennai, ICNWC 2023 organized by Department of Networking and Communications, School of Computing, SRM institute of Science and Technology, Kattankalathur, Chennai.
  11. Served as session Chair in conferences:
    • 4th International Conference on Intelligent Technologies 2024 (CONIT) is technically Co-sponsored by IEEE Bangalore section in KLE Institute of Technology ,Hubballi, Karnataka , India, held during 21-22 June 2024
    • 1st International Conference on Communication, Security and Artificial Intelligence (ICCSAI 2022) held during 23rd – 24th December, 2022 organized by Galgotias University, Greater Noida, India
    • “International Conference on Innovative Engineering and Technology”, held at DMI College of Engineering, Chennai, 01.06.22 and 02.06.22
  12. Nominated as member of Board of Studies for Computer and Communication Engineering program from Chennai campus
  13. Deputy head of Internal Quality Assessment Cell, Amrita Vishwa Vidyapeetham Chennai Campus
  14. Program committee member for the IICAIET 2022 held virtually on 13-15 September 2022 at Malaysia.
  15. Organized Two days Skill based learning series titled “Deep dive into image processing using Python” on 24th Sep 2022 and 1st Oct 2022.
  16. Organized Two days Faculty/Staff Fun filled Event during June 2022.
  17. Presenteda 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, Tamilnadu.
  18. Organized One day National level technical Seminar on Recent Trends in Electronics Engineering conducted on 27th February 2013 by Department of Electronics and Communication Engineering of Sri Lakshmi Ammal Engineering College.
  19. Organized Two days workshop on MATLAB conducted from 29th August to 30th August 2012 by Department of Electronics and Communication Engineering of Sri Lakshmi Ammal Engineering College.
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