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Dr. K. L. Nisha

Assistant Professor, Department of Electronics & Communication Engineering, School of Engineering, Amritapuri

Qualification: BE, M.E, Ph.D
nishakl@am.amrita.edu
ORCID Profile
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Research Interest: Computer-assisted medical diagnosis systems, Image Processing, Computer Vision Applications, Machine Learning/ Deep Learning in signal/image processing, Embedded Systems, Edge Computing
Date of Joining: 13/10/2021
Nature of Association: Regular

Bio Publications International Conferences/Workshops Attended National Conferences/Workshops Attended Events Organised Other Recognitions FDP / Workshops Research Talks Delivered Invited Talks Awards Conferences
Bio

Dr. K. L. Nisha has been an Assistant Professor since 2021 in the Department of Electronics and Communication Engineering, Amrita School of Engineering, Amritapuri. She received her PhD Degree from NIT Calicut in 2020 in the area of Biomedical Image Processing. She received her Master’s degree in Embedded and Real-Time systems in 2011 and her Bachelor’s in Electronics and Computer Engineering in 2009. Her teaching/research interests include Image Processing, Pattern Recognition, Computer Vision, Machine Learning and Embedded Systems. She has been a part of several projects on signal and image processing, neural networks, machine learning, and Convolutional Neural Networks.

Area of Specialization

  • Image Processing
  • Computer Vision
  • Machine Learning
  • Embedded Systems

Membership

  • IEEE Member
Publications

Conference Paper

Year : 2023

Predictive Analysis from Patient Health Records Using Machine Learning

Cite this Research Publication : Reddy, P. Koushik, P. Mohana Vamsi, C. Revanth Kumar, KV Yokesh Kumar, P. Jagruth Reddy, and K. L. Nisha. "Predictive Analysis from Patient Health Records Using Machine Learning." In 2023 4th International Conference for Emerging Technology (INCET), pp. 1-6. IEEE, 2023

Publisher : 4th IEEE International Conference for Emerging Technology (INCET)

Year : 2022

Developing Machine Learning Models for Cardiovascular Disease Prediction

Cite this Research Publication : Yarasuri, Vedha Krishna, Dhumsapuram Saikrishna Reddy, Puligundla Sai Muneesh, Ramabhotla Venkata Sai Kaushik, Thupalli Nanda Vardhan, and K. L. Nisha. "Developing Machine Learning Models for Cardiovascular Disease Prediction." In 2022 2nd Asian Conference on Innovation in Technology (ASIANCON), pp. 1-6. IEEE, 2022

Publisher : IEEE

Year : 2021

Image Mosaicing for Neonatal Fundus Images

Cite this Research Publication : Aruna, K. A., Vrinda S. Anil, Anju Anand, Anagha Jaysankar, Anjali Venugopal, K. L. Nisha, and G. Sreelekha. "Image Mosaicing for Neonatal Fundus Images." In 2021 8th International Conference on Smart Computing and Communications (ICSCC), pp. 100-105. IEEE, 2021

Publisher : IEEE

Year : 2020

Automated Detection and Segmentation of Laser Marks in Retinal Fundus Images of Preterm Infants

Cite this Research Publication : K. L. Nisha, Sreelekha G., P. S. Sathidevi, Poornima Mohanachandran, and Anand Vinekar, "Automated Detection and Segmentation of Laser Marks in Retinal Fundus Images of Preterm Infants." Proceedings of the 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), Kharagpur, India, IEEE, 2020, pp. 1-7

Publisher : IEEE

Year : 2020

An Efficient Ridge Detection Method for Retinopathy of Prematurity Severity Analysis

Cite this Research Publication : Amrutha M.,K. L. Nisha,Sreelekha G., P. S. Sathidevi, Poornima Mohanachandran, and Anand Vinekar, "An Efficient Ridge Detection Method for Retinopathy of Prematurity Severity Analysis," 2020 4th International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India, 2020, pp. 1210-1215

Publisher : IEEE

Year : 2019

A Robust Algorithm for Automated Detection of Optic Disc in Retina of Premature Infants

Cite this Research Publication : K. L. Nisha, Sreelekha G., P. S. Sathidevi, Poornima Mohanachandran, and Anand Vinekar, "A Robust Algorithm for Automated Detection of Optic Disc in Retina of Premature Infants," Proceedings of the IEEE Region 10 Conference (TENCON), Kochi, IEEE, 2019, pp. 684-689

Publisher : IEEE

Year : 2017

Fusion of Structure Adaptive Filtering and Mathematical Morphology for Vessel Segmentation in Fundus Images of Infants with Retinopathy of Prematurity

Cite this Research Publication : K. L. Nisha, Sreelekha G., P. S. Sathidevi, Poornima Mohanachandran and Anand Vinekar, "Fusion of Structure Adaptive Filtering and Mathematical Morphology for Vessel Segmentation in Fundus Images of Infants with Retinopathy of Prematurity," Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), IEEE, 2017, pp. 1-6

Publisher : IEEE

Year : 2016

A Novel Medical Image Fusion Scheme Employing Sparse Representation and dual PCNN in the NSCT Domain

Cite this Research Publication : Anisha Mohammed, K. L. Nisha, and P. S. Sathidevi, "A Novel Medical Image Fusion Scheme Employing Sparse Representation and dual PCNN in the NSCT Domain," 2016 IEEE Region 10 Conference (TENCON), Singapore, 2016, pp. 2147-2151.

Publisher : IEEE

Journal Article

Year : 2023

A high-performance fuzzy optimized deep convolutional neural network model for big data classification based on the social internet of things

Cite this Research Publication : Shaji B., R. Lal Raja Singh, and K. L. Nisha, (2023). A high-performance fuzzy optimized deep convolutional neural network model for big data classification based on the social internet of things. The Journal of Supercomputing. 79. 10.1007/s11227-022-04974-7

Publisher : The Journal of Supercomputing

Year : 2022

A novel deep neural network based marine predator model for effective classification of big data from social Internet of Things

Cite this Research Publication : Shaji B., R. Lal Raja Singh, and K. L. Nisha. "A novel deep neural network based marine predator model for effective classification of big data from social Internet of Things." Concurrency and Computation: Practice and Experience (2022): e7244

Publisher : Concurrency and Computation

Year : 2022

A Novel Method to Improve Inter-Clinician Variation in the Diagnosis of Retinopathy of Prematurity Using Machine Learning

Cite this Research Publication : K. L. Nisha, Sreelekha G., P. S. Sathidevi, Madhu Idaguri, Poornima Mohanachandran, Anand Vinekar, Parijat Chandra, Sucheta Kulkarni, and Mangat Dogra. "A Novel Method to Improve Inter-Clinician Variation in the Diagnosis of Retinopathy of Prematurity Using Machine Learning." Current Eye Research (2022): 1-10

Publisher : Current Eye Research

Year : 2019

A Computer-aided Diagnosis System for Plus Disease in Retinopathy of Prematurity with Structure Adaptive Segmentation and Vessel-based features

Cite this Research Publication : K. L. Nisha, Sreelekha G., P. S. Sathidevi, Poornima Mohanachandran, and Anand Vinekar, "A Computer-aided Diagnosis System for Plus Disease in Retinopathy of Prematurity with Structure Adaptive Segmentation and Vessel-based features." Computerized Medical Imaging and Graphics 74 (2019) (Elsevier): 72-94.

Publisher : Computerized Medical Imaging and Graphics

Year : 2014

Sparse Space Replica Based Image Reconstruction via Cartesian and Spiral Sampling Strategies

Cite this Research Publication : K. L. Nisha, B. Shaji, and N. R. Rammohan. "Sparse Space Replica Based Image Reconstruction via Cartesian and Spiral Sampling Strategies" Research Journal of Applied Sciences, Engineering, and Technology 8, no. 11 (2014): 1340-1349

Publisher : Research Journal of Applied Sciences, Engineering, and Technology

Patents

Year : 2020

A System and A Method for Classification of Retinal Images Through Empirical Measures and Machine Learning

Cite this Research Publication : Poornima Mohanachandran, Sreelekha G., K. L. Nisha, P.S. Sathidevi, Anand Vinekar, "A System and A Method for Classification of Retinal Images Through Empirical Measures and Machine Learning," Indian Patent Application No. 202041002182, filed on 17.01.2020

International Conferences/Workshops Attended
  • International Symposium on “Educational Pedagogies & Technologies in sustainable development” on January 2022
National Conferences/Workshops Attended
  • AICTE sponsored Workshop on “Designing and modeling of IOT, A.I. & ML Systems” on August 2022.
  • DST-SERB sponsored FDP on Biomedical signal analysis and machine learning” at NIT Calicut in January 2021.
  • Online webinar on “Art and challenges of writing papers for IEEE Transactions” organized by IEEE Bangalore section in June 2020.
  • TEQIP sponsored FDP on “Research Trends in Multimedia and Multirate Signal Processing” at NIT Calicut in June 2019.
  • FDP on “Deep Learning” at NIT Calicut in December 2018.
  • TEQIP-TBI sponsored National Workshop on “Intellectual Property Rights and Patents” at NIT Calicut in March 2018.
  • IEEE sponsored Workshop on “Deep Learning- A deep dive: From Basics to Advanced” at CUSAT, Cochin, in December 2017.
  • IEEE sponsored Workshop on “Deep Learning in Image Processing” at TKM College of Engineering, Kollam, in August 2017.
  • TEQIP sponsored the “Patent and intellectual property rights” workshop at NIT Calicut in March 2017.
  • National Workshop on “Image processing for biomedical applications” at Amrita School of Engineering, Coimbatore, in December 2016.
  • Continuing Education Program on “Sparse Optimization for signals and systems” at IIT Madras in October 2016.
  • AICTE-MHRD-TEQIP sponsored a “Research Writing: Technical and Language Aspects” workshop at NIT Calicut in February 2016.
  • MHRD-TEQIP sponsored FDP on “Recent Trends in Biosignal Processing” at NIT Calicut in December 2015.
  • IEEE sponsored Workshop on “4D biomedical Ultrasound” at NIELIT Calicut in September 2015.
  • Workshop on “Engineering principles and Applications of MRI,” SCTIMST, Trivandrum in August 2015.
  • IET Sponsored workshop on “MATLAB – SIMULINK programming and recent optimization techniques” organized by Arunachala College of Engineering for Women in May 2014.
  • Two-week FDP on ‘Trends in Power Electronics and Industrial Drives”, organized by Arunachala College of Engineering for Women in May 2012.
  • Workshop on Advanced Research in NS2 organized by Sun College of Engineering and Technology in July 2011.
  • State Level Workshop on ‘Data Mining and Network Security” at Madha Engineering College in October 2008
Events Organised
  • Organized an “Embedded System Design and Simulation using Proteus Software” Workshop at Amrita School of Engineering, Amritapuri, in June 2022
Other Recognitions
  • Invited Lecture on the topic, “Retinal Imaging and analysis for ROP” at the FDP on Biomedical Signal Analysis and Machine Learning (BSAML) at NIT Calicut
  • Invited Lecture on the Topic, “Challenges in Retinal Image Analysis specific to Retinopathy of Prematurity” at Amrita Nagercoil.
  • Reviewer of the journal Computers in Biology and Medicine (Elsevier)
FDP / Workshops
  1. International Symposium on “Educational Pedagogies & Technologies in sustainable development” on January 2022
  2. AICTE sponsored Workshop on “Designing and modeling of IOT, A.I. & ML Systems” on August 2022.
  3. DST-SERB sponsored FDP on Biomedical signal analysis and machine learning” at NIT Calicut in January 2021.
  4. Online webinar on “Art and challenges of writing papers for IEEE Transactions” organized by IEEE Bangalore section in June 2020.
  5. TEQIP sponsored FDP on “Research Trends in Multimedia and Multirate Signal Processing” at NIT Calicut in June 2019.
  6. FDP on “Deep Learning” at NIT Calicut in December 2018.
  7. TEQIP-TBI sponsored National Workshop on “Intellectual Property Rights and Patents” at NIT Calicut in March 2018.
  8. IEEE sponsored Workshop on “Deep Learning- A deep dive: From Basics to Advanced” at CUSAT, Cochin, in December 2017.
  9. IEEE sponsored Workshop on “Deep Learning in Image Processing” at TKM College of Engineering, Kollam, in August 2017
  10. TEQIP sponsored the “Patent and intellectual property rights” workshop at NIT Calicut in March 2017.
  11. National Workshop on “Image processing for biomedical applications” at Amrita School of Engineering, Coimbatore, in December 2016.
  12. Continuing Education Program on “Sparse Optimization for signals and systems” at IIT Madras in October 2016.
Research Talks Delivered
  • Invited Lecture on the topic, “Retinal Imaging and analysis for ROP” at the FDP on Biomedical Signal Analysis and Machine Learning (BSAML) at NIT Calicut
Invited Talks
  • Invited Lecture on the topic, “Challenges in Retinal Image Analysis Specific to Retinopathy of Prematurity” at Amrita Nagercoil.
Awards
  • Awarded the “Best outgoing student “of the department at St. Joseph’s College of Engg.
  • Awarded the “Best outgoing student” of the PSG College of Technology department.
Conferences
  • Presented the paper “Developing Machine Learning models for Cardiovascular Disease Prediction” – ASIANCON 2023
  • Presented the paper,”Low cost wearable pedabarographic system for medical rehabilitation” in IOTBML 2023
  • Presented the paper on “ A machine Learning Powered Web Application for Accident Severity Detection in ICIRCA 2023
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