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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: Deep Learning, Image Processing, Machine Learning

Bio

Muthulakshmi M currently serves as Assistant Professor (Sr. Gr.) in the Department of Electronics and Communication Engineering, School of Engineering, Amrita Vishwa Vidyapeetham, Chennai Campus.

Publications

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

Conference Paper

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 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

Education
  • 2016 – 2022 : PhD in Biomedical image processing and Machine learning
    Madras Institute of Technology campus, Anna University, Chennai.
  • 2012: Master of Engineering in Embedded Systems Technologies 
    Regional campus of Anna University Tirunelveli.
  • 2002 – 2006: Bachelor of Technology Electronics and Communication Engineering
    National Institute of Technology-Tiruchirapalli, Tiruchirapalli.
Experience
Year Affiliation
September 2021 – Present Assistant Professor
Department of ECE, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Chennai Campus
August 2017 to February 2020 Junior Research Fellow
Madras Institute of Technology campus,AnnaUniversity,Tamilnadu, India
July 2013 – April 2016 Assistant Professor
St. Joseph’s College of Engineering, Chennai, Tamilnadu, India
July 2012 – April 2013 Assistant Professor
Sri Lakshmi Ammal Engineering College, Chennai, Tamilnadu, India
July 2006 – April 2008 Software Engineer
Delphi Automotive Systems Private Limited,Bangalore, Karnataka, India
Responsibilities
  • Conceptual teaching of Digital Electronics and Machine learning to Bachelor of Technology students
  • Coordinated with Medviso AB, NI and VectraForm to procure Segment CMR software, LABVIEW and 3D Doctor imaging software vendors, initiated the purchase orders and procured software tools in-time. Executed the DST-SERB project and successfully submitted it to DST
  • Coordinated in establishment of Embedded systems lab set up for M.E. Embedded system and technologies
  • Coordinated a team of four members for Volvo and Ford clients in Embedded Software Development for Collision Avoidance and Detection System in automobiles, Autocoding, Simulation & Verification.
Skill set
  • Algorithms
    • Support vector machine
    • Extreme learning machine
    • Deep learning (CNN)
    • Data science
    • Image analysis
    • Image segmentation
    • Feature engineering
    • Software framework
    • Process development
  • Software Tools
    • R software
    • Python – numpy
    • OpenCV
    • matplotlib
    • Tensorflow
    • MATLAB – M-script
    • Simulink
    • Stateflow
    • LabView
    • 3D Doctor Software
    • Segment CMR software
Thrust Area of Research
  • Machine learning
  • Image processing in Health-care domain
  • Image processing in Computer vision
Major Subjects Taught
  • Digital signal processing
  • Microprocessors and Microcontrollers
  • Digital logic circuits
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