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Dr. N. Aishwarya

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

Qualification: M.E, Ph.D
n_aishwarya@ch.amrita.edu
Research Interest: Signal and Image Processing, Machine Learning, Deep Learning, Sparse representation

Bio

Dr. Aishwarya N, currently serves as an Assistant Professor (Sr. Gr.) in the Department of Electronics and Communication Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Chennai campus.

Dr. Aishwarya N is the Program Chair of Computer and Communication Engineering and an Assistant Professor (Senior Grade) in the Department of Electronics and Communication Engineering at the Chennai Campus. She earned her B.E. in Electronics and Communication Engineering and M.E. in Communication Systems, both with first-class distinction and a university rank at the postgraduate level. She completed her doctoral degree atAnna University, Chennai.
With around 11 years of experience in teaching and research, Dr. Aishwarya has authored over 25 research papers in reputed international journals and conferences. She has also contributed two chapters to the Springer book series, which have garnered significant attention from researchers worldwide. In addition, she has completed several certification courses from NPTEL, Coursera, Udemy, and Great Learning, focusing on image processing with deep learning.

Dr. Aishwarya’s research interests include multimodal and multisensor fusion, animal health, crop disease detection, and cancer diagnosis. She is an active reviewer for journals such as Infrared Physics and Technology, Biomedical Signal Processing and Control, and Signal, Image and Video Processing. She is also a life member of various professional bodies, including the Indian Society of Technical Education (ISTE).

Publications

Journal Article

Year : 2022

Smart farming for detection and identification of tomato plant diseases using light weight deep neural network

Cite this Research Publication : Aishwarya N, Praveena NG, Priyanka S and Pramod J, “Smart farming for detection and identification of tomato plant diseases using light weight deep neural network”, Springer-Multimedia tools and applications, November 2022, pp. 1-12, (SCIE, Impact Factor: 3.6).

Publisher : Springer

Conference Paper

Year : 2024

A Computationally Efficient Speech Emotion Recognition System employing Machine learning Classifiers and Ensemble learning

Cite this Research Publication : Aishwarya N, Kanwaljeet Kaur and Karthik Seemakurthy, “A Computationally Efficient Speech Emotion Recognition System employing Machine learning Classifiers and Ensemble learning”, Springer-International Journal of Speech Technology, March 2024, (SCI, Impact factor: 2.7)

Publisher : Springer

Year : 2024

Conformal Microwave Sensor for Enhanced Driving Posture Monitoring and Thermal Comfort in Automotive Sector

Cite this Research Publication : S. A. Balakrishnan, E. F. Sundarsingh, V. S. Ramalingam and Aishwarya N, “Conformal Microwave Sensor for Enhanced Driving Posture Monitoring and Thermal Comfort in Automotive Sector”, in IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, (SCI, Impact Factor: 3.2)

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

A Deep Learning Approach to Identify Fresh and Stale Fruits and Vegetables with Yolo

Cite this Research Publication : Sai Shree Akshitha Reddy and Aishwarya N, “A Deep Learning Approach to Identify Fresh and Stale Fruits and Vegetables with Yolo, 2023 International Conference on Advances in Electronics, Communication, Computing and Intelligent Information Systems (ICAECIS), Bangalore, India, 2023, pp. 606-610

Publisher : IEEE

Year : 2023

Skin cancer diagnosis using Yolo deep neural network

Cite this Research Publication : Aishwarya N, Manoj Prabhakaran K, Akshitha Reddy and Posina Pranavee, “Skin cancer diagnosis using Yolo deep neural network”, Elsevier-Procedia Computer Science, 220, pp. 651-658, 2023

Publisher : Elsevier

Year : 2023

Banana Ripeness Classification with Deep CNN on NVIDIA Jetson Xavier AGX

Cite this Research Publication : Aishwarya N and Vinesh Kumar R, "Banana Ripeness Classification with Deep CNN on NVIDIA Jetson Xavier AGX," 2023 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Kirtipur, Nepal, 2023, pp. 663-668

Publisher : IEEE

Year : 2023

Real-time Prostate Cancer Detection via YOLO-Tiny Variants

Cite this Research Publication : Aishwarya N and Yaythish Kanna. G. S, “Real-time Prostate Cancer Detection via YOLO-Tiny Variants”, 2023 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Kirtipur, Nepal, 2023, pp. 657-662

Publisher : IEEE

Year : 2023

Neural Style Transfer Based Infrared-Visible Fusion

Cite this Research Publication : Lokesh Kumar M, Aishwarya N and Ashwin B, “Neural Style Transfer Based Infrared-Visible Fusion”, 2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA), Coimbatore, India, 2023, pp. 187-192

Publisher : IEEE

Year : 2023

MRI-SPECT Image Fusion with Coupled Sparse Dictionary

Cite this Research Publication : Aishwarya N, Sai Keerthi RV and Kanwaljeet Kaur, “MRI-SPECT Image Fusion with Coupled Sparse Dictionary”, 2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA), Coimbatore, India, 2023, pp. 193-198

Publisher : IEEE

Year : 2023

CT- MRI Image Fusion Using Multi-Measure Enhancement

Cite this Research Publication : Aishwarya N and Sai Keerthi RV, “CT- MRI Image Fusion Using Multi-Measure Enhancement," 2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), Gautam Buddha Nagar, India, 2023, pp. 775-779

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

IoT Enabled Detection and Notification system for Potholes and Road Cracks

Cite this Research Publication : Aishwarya N., Praveena NG and Priyanka S., “IoT Enabled Detection and Notification system for Potholes and Road Cracks”, 4th Springer International Conference on Big Data and Cloud Computing (ICBDCC 2021) at Karunya Institute of Technology and sciences, Coimbatore, on 20.08.2021 and 21.08.2021

Publisher : Springer

Year : 2019

Infrared and Visible Images Fusion Using Object Region Detection and DWT

Cite this Research Publication : Aishwarya N., Praveena B., Sai Vineesha., Chithra V and Sai Sreya D., ‘Infrared and Visible Images Fusion Using Object Region Detection and DWT’, National Conference on Information and Communication Technologies (NCICT-2019), at SSN College of Engineering, Chennai, on 01.04.2019 and 02.04.2019

Year : 2016

Multi-focus Image Fusion using Discrete Wavelet Transform and Sparse Representation

Cite this Research Publication : Aishwarya N., Abirami S and Amutha R., ‘Multi-focus Image Fusion using Discrete Wavelet Transform and Sparse Representation’, IEEE International Conference on Wireless Communications Signal Processing and Networking (WISPNET 2016), SSN College of Engineering, Tamilnadu, India, 23 – 25 March, 2016, pp. 2432- 2437

Publisher : IEEE

Year : 2013

Multi-focus image fusion using multi structure top hat transform and image variance

Cite this Research Publication : Aishwarya N., Y. Asnath Victy Phamila and R. Amutha, ‘Multi-focus image fusion using multi structure top hat transform and image variance’, IEEE International Conference on Communication and Signal Processing, pp. 686-689, 2013

Publisher : IEEE

Year : 2012

Entropy powered image fusion using multiscale toggle contrast operator

Cite this Research Publication : Aishwarya N and R. Amutha., “Entropy powered image fusion using multiscale toggle contrast operator”, International conference on Recent trends in computer and networking technologies, organized by library & Information science promotion society, IGCAR, pp. 42, Dec 21-23, 2012 (Best Paper Award)

Book Chapter

Year : 2021

Photobook Creation Using Face Recognition and Machine Learning

Cite this Research Publication : Aishwarya N, Praveena N.G, Akash Arumugam B.S, Pramod J, “Photobook Creation Using Face Recognition and Machine Learning”, Futuristic Communication and Network Technologies, Lecture Notes in Electrical Engineering, Springer, Singapore vol. 792, pp. 199-210, October 2021

Publisher : Springer

Book

Year : 2021

Adaptive dictionary-based fusion of multi-modal images for health care applications

Cite this Research Publication : Aishwarya N, Bennila Thangammal C and Gladis Pushparathi, “Adaptive dictionary-based fusion of multi-modal images for health care applications”, The Internet of Medical Things: Enabling technologies and emerging applications, IET Digital Library, Book

Publisher : IET Digital Library

Journal

Year : 2021

NSCT and focus measure optimization based multi-focus image fusion

Cite this Research Publication : Aishwarya N, Bennila Thangammal C and Praveena NG, “NSCT and focus measure optimization based multi-focus image fusion”, Journal of Intelligent and Fuzzy systems, IOS press, Vol. 41, No. 1, pp. 903-915

Publisher : IOS press

Year : 2020

Improving the Energy Efficiency by Mobile Sink Based Data-Gathering for Heterogeneous WSN’s

Cite this Research Publication : Praveena NG, Aishwarya N and Manju M, “Improving the Energy Efficiency by Mobile Sink Based Data-Gathering for Heterogeneous WSN’s”, International Journal of Scientific & Technology Research, Vol. 9, No. 2, pp. 6371-6375.

Publisher : International Journal of Scientific & Technology Research

Year : 2020

Detection of Brain Tumor by Image Fusion based on Convolutional Neural Network

Cite this Research Publication : Aishwarya N, Praveena NG, Rajalakshmi B, Reshma R, Rizwana Begum B and Sowmya D, “Detection of Brain Tumor by Image Fusion based on Convolutional Neural Network”, International Journal of Advanced science and Technology, Vol. 29, No. 6, pp. 6500-6509.

Publisher : International Journal of Advanced science and Technology

Year : 2018

An Image Fusion Framework using Morphology and Sparse Representation

Cite this Research Publication : Aishwarya N and Bennila Thangammal C, “An Image Fusion Framework using Morphology and Sparse Representation”, Springer-Multimedia tools and applications, Vol. 77, No. 8, pp. 9719-9736

Publisher : Springer-Multimedia tools and applications

Year : 2018

A novel multimodal medical image fusion using sparse representation and modified spatial frequency

Cite this Research Publication : Aishwarya N and Bennila Thangammal C, “A novel multimodal medical image fusion using sparse representation and modified spatial frequency”, International Journal of Imaging systems and Technology, Vol.28, No. 3, pp. 175-185.

Publisher : International Journal of Imaging systems and Technology

Year : 2018

Visible-Infrared image fusion using DTCWT and Adaptive combined clustered dictionary

Cite this Research Publication : Aishwarya N and Bennila Thangammal C, “Visible-Infrared image fusion using DTCWT and Adaptive combined clustered dictionary”, Elsevier-Infrared Physics and Technology, Vol. 93, pp. 300-309.

Publisher : Elsevier-Infrared Physics and Technology

Year : 2017

An Image Fusion Framework using novel dictionary based Sparse Representation

Cite this Research Publication : Aishwarya N and Bennila Thangammal C, “An Image Fusion Framework using novel dictionary based Sparse Representation”, Springer-Multimedia tools and applications, Vol. 76, No. 21, pp. 21869-21888.

Publisher : Springer-Multimedia tools and applications

Academic Qualifications
  • Ph.D., Anna University, December 2019
  • Dissertation: Performance Analysis of Dictionary Learning Techniques for Sparse Representation Based Image Fusion
  • 2013 : M.E., Communication Systems
  • SSN College of Engineering, Affiliated to Anna UniversityUniversity Rank Holder-10th place
  • 2010 : B.E., ECE
  • R.M.K Engineering College, Affiliated to Anna University First Class with Distinction Department Rank Holder-3rd place
  • 2007 : Diploma in ECE
  • Sri Durga Devi Polytechnic College, DOTE First Class with Distinction State Rank Holder-13th place
Academic Experience
  • Assistant Professor (Senior Grade) at Amrita Vishwa Vidyapeetham, Amrita School of Engineering, Chennai June 2021-Present
  • Assistant Professor at R.M.K College of Engineering and Technology June 2018-May 2021
  • Assistant Professor at St. Joseph’s Institute of Technology July 2013-March 2015
Workshop Organized
  • Organized a Hands-on workshop “Deep Dive into Image Processing using Python” in Amrita School of Engineering (Guest Speaker Dr. Karthik Seemakurthy-University of Lincoln, UK)
Teaching

Major Courses Taught

  • Signals and Systems
  • Digital Electronics
  • Digital Signal Processing
  • Image Processing
  • Multi rate Signal Processing
  • Machine Learning
  • Deep Learning
  • Pattern recognition
  • Analog circuits
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