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Dr. N. Aishwarya

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

Qualification: Ph.D., M.E., B.E.
n_aishwarya@ch.amrita.edu
ORCID ID
Google Scholar Profile
Scopus Author ID
Research Interest: Signal and Image Processing Computer Vision Deep Learning and Applied Artificial Intelligence Sensor Analytics and Multimodal Data Processing Edge AI Systems Generative AI and Emerging AI Paradigms (including Quantum AI)

Bio Publications Qualifications Experience Awards Courses Taught Professional Activities FDP/ Workshops/ Training Programs Attended
Bio

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

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 at Anna University, Chennai.
With around 13 years of experience in teaching and research, Dr. Aishwarya has authored more than 35 peer-reviewed publications in reputed international journals and conferences and has contributed book chapters to the IET and Springer series, gaining visibility within the global research community. She has also completed professional certifications from platforms such as NPTEL, Coursera, Udemy, Infosys Springboard, and Great Learning, with a focus on deep learning and image processing.

Her research focuses on computer vision, signal and image processing, and applied artificial intelligence for healthcare, agriculture, and aquaculture. Her work primarily involves deep learning, sensor analytics, and the development of efficient models. Currently, she is expanding her research into emerging paradigms such as Generative Artificial Intelligence and quantum artificial intelligence, aiming to explore their potential in advancing intelligent systems.

She actively contributes to the research ecosystem as a reviewer for leading journals, including Infrared Physics and Technology, Biomedical Signal Processing and Control, Scientific Reports, and Signal, Image and Video Processing. She also serves as a Doctoral Committee Member for four Ph.D. scholars.

Dr. Aishwarya is an active member of professional bodies such as IEEE, where she serves as the Faculty Advisor for the IEEE Computational Intelligence Society (CIS), and the Indian Society for Technical Education (ISTE). She has also delivered invited sessions and guest lectures, including Faculty Development Programs organized by the IEEE Signal Processing Society.

Publications

Conference Paper

Year : 2026

AI-Based Fish Species Classification Using Phenotypic Features

Cite this Research Publication : Aishwarya N, S Cheran, S Sivananda Gnaneswar, Afra Parveen Jameel, AI-Based Fish Species Classification Using Phenotypic Features, 2026 International Conference on Computing, Communication, Control and Cyber-Physical Systems (I5CPS), IEEE, 2026, https://doi.org/10.1109/i5cps67958.2026.11452563

Publisher : IEEE

Year : 2026

A Hybrid Deep and Handcrafted Feature Fusion Approach for Automatic Diabetic Retinopathy Grading

Cite this Research Publication : Aishwarya N, S Sarveshvaran, Dharshini Y, Vaisshale R, A Hybrid Deep and Handcrafted Feature Fusion Approach for Automatic Diabetic Retinopathy Grading, 2026 International Conference on Computing, Communication, Control and Cyber-Physical Systems (I5CPS), IEEE, 2026, https://doi.org/10.1109/i5cps67958.2026.11452585

Publisher : IEEE

Year : 2025

A Hybrid Approach using modified ResNet18 for Marine Mammal Sound classification

Cite this Research Publication : Aishwarya N, Chandhana C, Yasashwini Sai Gowri P, Rakesh Thoppaen Suresh Babu, A Hybrid Approach using modified ResNet18 for Marine Mammal Sound classification, Procedia Computer Science, Elsevier BV, 2025, https://doi.org/10.1016/j.procs.2025.03.111

Publisher : Elsevier BV

Year : 2025

Cost-Effective Way of Making Piped Drinking Water Distribution Sustainable in Rural Areas

Cite this Research Publication : Devareddy Pradeep Reddy, Chinthakuntla Meghan Sai, K. Venkatasubramanian, N. Aishwarya, Cost-Effective Way of Making Piped Drinking Water Distribution Sustainable in Rural Areas, 2025 International Conference on Next Generation Communication & Information Processing (INCIP), IEEE, 2025, https://doi.org/10.1109/incip64058.2025.11019164

Publisher : IEEE

Year : 2025

Underwater Fish Detection Using YOLOv11 and YOLOv12

Cite this Research Publication : Lokesh Kumar K M, N. Aishwarya, Underwater Fish Detection Using YOLOv11 and YOLOv12, 2025 3rd International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS), IEEE, 2025, https://doi.org/10.1109/icssas66150.2025.11081079

Publisher : IEEE

Year : 2025

SmartBP: Contactless Blood Pressure Monitoring via Remote Photoplethysmography

Cite this Research Publication : S V Ganesan, G S Yaythish Kannaa, A Arun, Sayantani Bhattacharya, N Aishwarya, SmartBP: Contactless Blood Pressure Monitoring via Remote Photoplethysmography, 2025 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), IEEE, 2025, https://doi.org/10.1109/conecct65861.2025.11306683

Publisher : IEEE

Year : 2025

A Deep Learning Model for Real-Time On-Device Marine Oil Spill Detection

Cite this Research Publication : Rupadharshini Ramkumar, Bharath Ram, Sakthi Abirami Balakrishnan, Aishwarya N, A Deep Learning Model for Real-Time On-Device Marine Oil Spill Detection, 2025 International Conference on Sustainable Communication Networks and Application (ICSCN), IEEE, 2025, https://doi.org/10.1109/icscn67106.2025.11308543

Publisher : IEEE

Year : 2025

From Bytes to Pixels: Robust Malware Classification Using Deep Neural Networks

Cite this Research Publication : S Sivananda Gnaneswar, Aishwarya N, Renganayaki M, Ghanshyam S. Bopche, From Bytes to Pixels: Robust Malware Classification Using Deep Neural Networks, 2025 1st International Conference on Data Science and Intelligent Network Computing (ICDSINC), IEEE, 2025, https://doi.org/10.1109/icdsinc66221.2025.11448149

Publisher : IEEE

Year : 2025

Deep Learning-Based Comparative Analysis for Pes Planus Classification in Diagnostic Imaging

Cite this Research Publication : V Harsha Vardhan, Venkatasubramanian K, Aishwarya N, Deep Learning-Based Comparative Analysis for Pes Planus Classification in Diagnostic Imaging, 2025 5th International Conference on Artificial Intelligence and Signal Processing (AISP), IEEE, 2025, https://doi.org/10.1109/aisp68263.2025.11396315

Publisher : IEEE

Year : 2025

Cross-lingual Speech Emotion Recognition for Mental Health Counselling and Aid

Cite this Research Publication : Kanwaljeet Kaur, Aishwarya N, Ganesh Kumar Chellamani, Cross-lingual Speech Emotion Recognition for Mental Health Counselling and Aid, Procedia Computer Science, Elsevier BV, 2025, https://doi.org/10.1016/j.procs.2025.04.375

Publisher : Elsevier BV

Year : 2025

Dragon Fruit Maturity Detection and Quality Grading with Scalable Deep Neural Networks

Cite this Research Publication : Aishwarya N, Devisowjanya P, Deshana Vikas Shah, Raavi Niharika, Dragon Fruit Maturity Detection and Quality Grading with Scalable Deep Neural Networks, 2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), IEEE, 2025, https://doi.org/10.1109/idciot64235.2025.10914783

Publisher : IEEE

Year : 2025

Transformer-Based Deep Learning Approach for Potato Leaf Disease Classification

Cite this Research Publication : Aishwarya N, S Cheran, S Sivananda Gnaneswar, Vaisshale Rathinasamy, Transformer-Based Deep Learning Approach for Potato Leaf Disease Classification, 2025 International Conference on Sustainability, Innovation & Technology (ICSIT), IEEE, 2025, https://doi.org/10.1109/icsit65336.2025.11295448

Publisher : IEEE

Year : 2024

Remote Photoplethysmography (rPPG) for Contactless Blood Oxygen Saturation Monitoring

Cite this Research Publication : Yaythish Kannaa G S, Sayantani Bhattacharya, N Aishwarya, Remote Photoplethysmography (rPPG) for Contactless Blood Oxygen Saturation Monitoring, 2024 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), IEEE, 2024, https://doi.org/10.1109/conecct62155.2024.10677187

Publisher : IEEE

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)

Journal Article

Year : 2025

YOLOSkin: A fusion framework for improved skin cancer diagnosis using YOLO detectors on Nvidia Jetson Nano

Cite this Research Publication : N. Aishwarya, G.S. Yaythish Kannaa, Karthik Seemakurthy, YOLOSkin: A fusion framework for improved skin cancer diagnosis using YOLO detectors on Nvidia Jetson Nano, Biomedical Signal Processing and Control, Elsevier BV, 2025, https://doi.org/10.1016/j.bspc.2024.107093

Publisher : Elsevier BV

Year : 2025

SpectroFusionNet a CNN approach utilizing spectrogram fusion for electric guitar play recognition

Cite this Research Publication : Ganesh Kumar Chellamani, Aishwarya N, Chandhana C, Kanwaljeet Kaur, Rakesh Thoppaen Suresh Babu, SpectroFusionNet a CNN approach utilizing spectrogram fusion for electric guitar play recognition, Scientific Reports, Springer Science and Business Media LLC, 2025, https://doi.org/10.1038/s41598-025-00287-w

Publisher : Springer Science and Business Media LLC

Year : 2025

A robust dataset for surgical instrument detection to aid autonomous robotic surgery

Cite this Research Publication : Ganesh Kumar Chellamani, Aishwarya N, Bhavesh Kumar P, Palle Sravan Kumar Reddy, Rakesh Thoppaen Suresh Babu, A robust dataset for surgical instrument detection to aid autonomous robotic surgery, Data in Brief, Elsevier BV, 2025, https://doi.org/10.1016/j.dib.2025.111798

Publisher : Elsevier BV

Year : 2025

Optimization for next generation laptops enhancing performance and compactness

Cite this Research Publication : Devisowjanya P, Aishwarya N, Bhanu Sai Mani Kiran B, Lokesh Kumar K.M, Arun AAdhithyan S.J, Optimization for next generation laptops enhancing performance and compactness, Scientific Reports, Springer Science and Business Media LLC, 2025, https://doi.org/10.1038/s41598-025-24532-4

Publisher : Springer Science and Business Media LLC

Year : 2025

OCRNet a robust deep learning framework for alphanumeric character recognition to assist the visually impaired

Cite this Research Publication : Aishwarya Nagasubramanian, Abdulaziz S. Almazyad, Sakthi Abirami Balakrishnan, Bharath Ram MM, Devisowjanya Potti, Mohammed Zakariah, Deema Mohammed AlSekait, OCRNet a robust deep learning framework for alphanumeric character recognition to assist the visually impaired, Scientific Reports, Springer Science and Business Media LLC, 2025, https://doi.org/10.1038/s41598-025-25278-9

Publisher : Springer Science and Business Media LLC

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 : 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 : 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

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

Conference Proceedings

Year : 2025

A Hybrid Transformer – Classifier Technique for Guitar Play Recognition

Cite this Research Publication : N Aishwarya, P Devisowjanya, Ajay K, A Hybrid Transformer – Classifier Technique for Guitar Play Recognition, 2025 International Conference on Sustainability, Innovation & Technology (ICSIT), IEEE, 2025, https://doi.org/10.1109/icsit65336.2025.11294830

Publisher : IEEE

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

Qualifications

Academic Qualifications

2015 – 2019 Ph.D.
Anna Univeristy, Chennai.
Dissertation Title: Performance Analysis of Dictionary Learning Techniques for Sparse Representation Based Image Fusion
2011 – 2013 M. E (Communication Systems)
Sri Sivasubramiya Nadar College of Engineering, Chennai.
First Class with Distinction University Rank Holder
2007 – 2010 B.E (Electronics and Communication Engineering) R.M.K Engineering College, Chennai.
First Class with Distinction
2004 – 2007 Diploma in Electronics and Communication Engineering Sri Durga Devi Polytechnic College
First Class with Distinction State Rank Holder

Certification Courses

NPTEL CERTIFICATIONS with FDP

  • Effective Engineering Teaching in Practice (ELITE + SILVER) 
  • Patent Drafting for Beginners (ELITE)

COURSERA CERTIFICATIONS

  • Image classification with CNN using Keras
  • Programming for everybody (Getting Started with Python)
  • Classification with transfer learning in Keras
  • Introduction to Machine Learning and Deep Learning
  • Image Compression with K-means Clustering
  • Neural Network from scratch in Tensorflow
  • Detecting COVID-19 with Chest X-Ray using PyTorch
  • Data Visualization using Python
  • Image Processing with python
  • Image Data Augmentation with Keras
  • Pandas Python Library for Beginners in Data Science

UDEMY CERTIFICATIONS

  • Fundamentals of CNN
  • Complete Python on Image Processing and Computer Vision

GREAT LEARNING course on Digital Image Processing

Deep Learning on ramp tutorial by MATHWORKS

INFOSYS SPRINGBOARD CERTIFICATIONS

  • Hands on Deep Learning training
  • Mathematics-Basics to Advanced for Data Science in Gen AI
Experience
October 2024 – Present Assistant Professor (Selection Grade), Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Chennai.
June 2021 – September 2024 Assistant Professor (Senior Grade), Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Chennai.
June 2018 – May 2021 Assistant Professor, R.M.K College of Engineering and Technology, Chennai.
January 2017- May 2018 Junior Research Fellow, R.M. D Engineering College, Chennai.
July 2015 – December 2016 Junior Research Fellow, Sri Sivasubramaniya Nadar College of Engineering, Chennai.
July 2013 – March 2015 Assistant Professor, St. Joseph’s Institute of Technology, Chennai.
Awards

Awards and Achievements

  • Honored with the Chancellor’s Publication Excellence Award for three consecutive years (2022–2024), in recognition of publication achievements.
  • Certificate of Appreciation for contribution as an Auditor during the Academic Audit for the academic year 2022–2023, conducted by the Internal Quality Assessment Cell (IQAC), Amrita Vishwa Vidyapeetham.
  • Recipient of the Best Paper Award for the paper titled “Entropy Powered Image Fusion using Multiscale Toggle Contrast Operator” at the International Conference on Recent Trends in Computer and Networking Technologies, organized by the Library & Information Science Promotion Society, Indira Gandhi Centre for Atomic Research (IGCAR), 2012.
  • Secured a University Rank in M.E. (Communication Systems).
Courses Taught
  • Signal Processing
  • Electronic Circuits
  • Digital Design
  • Muti-rate DSP and Software Define Radio
  • Foundation of Data Science
  • Machine Learning
  • Deep Learning
  • Image Processing
  • Pattern Recognition
Professional Activities
  • International Research Collaboration
    • Dr. Karthik Seemakurthy, Computer Vision Scientist, Applied AGI Limited, United Kingdom.
    • Mr. Rakesh Thoppaen Suresh Babu, Data Scientist, Fiserv, United States.
    • Dr. Mohammed Zakariah, Department of Computer Science and Engineering, College of Applied Studies and Community Services, King Saud University.
  • Faculty Advisor, IEEE Computational Intelligence Society (CIS) Student Chapter, Amrita Vishwa Vidyapeetham.
FDP/ Workshops/ Training Programs Attended

FDP/Workshops/Training Programs Attended

  • Attended Five days Training Program on “Intelligent systems for smart future”, organized by Amrita school of Engineering with INTEL FICE from 11th July 2022 to 15th July 2022.
  • Attended Five days FDP on ‘Application of AI techniques for solving Engineering Problems’, organized by RGPV college from 22nd February 2021 to 27th February 2021.
  • Attended Five days ATAL FDP on ‘Wearable devices for assistive technology’, organized by Kongu Engineering College from 14th September 2020 to 18th September 2020.
  • Participated in a webinar on ‘Innovation and Startup – An Epicenter of Education’, organized by RMK Engineering College on 4th September 2020.
  • Attended a three days workshop on ‘Idea or Invention Validation, Patent Drafting ways to respond to patent office objections’, organized by PoisedX in Collaboration with SSN College of Engineering from 29th July 2020 to 31st July 2020.
  • Attended Five days FDP on ‘Embracing the creative side of Teaching and Learning methods’ organized by RMKCET from 29th June 2020 to 3rd July 2020.
  • Participated in a workshop on ‘Innovation Product Design by Arduino’, organized by Pondicherry Engineering college- ATAL Incubation center on 17th June 2020.
  • Attended one day FDP on ‘Role of Technology in a post covid world’, organized by RMK Engineering College on 12th June 2020.
  • Participated in a webinar on ‘Augmented & Virtual Reality’, organized by RMKCET on 23rd May 2020.
  • Participated in a webinar on ‘IoT Architecture and Real Time Industrial Use Cases’, organized by RMKCET on 21st May 2020.
  • Participated in a webinar on ‘Indian Regional Navigation Satellite System’ organized by RMKCET on 2nd May 2020.
  • Attended a Five Days FDP on ‘LateX’ organized by IIT Bombay in collaboration with spoken tutorial from April 20th April 2020 to 24th April 2020.
  • Attended a Five Days FDP on ‘Internet of Things’ organized by NITTTR, Chandigarh in collaboration with AICTE from 15th April 2020 to 19th April 2020.
  • Attended a three days FDP on ‘Enhancing Pedagogical skills in Technical education’ organized by RMKCET from 5th December 2019 to 7th December 2019.
  • Participated in One day Training on ‘Information Exchange for new upgraded version of IEEE Explore’ organized by RMKCET on 23rd October 2019.
  • Attended a workshop titled ‘Analog Discovery Kit’ organized by Anna University, Chennai on 3rd May 2019.
  • Attended a Three Days FDP on ‘Student Psychology’ organized by NITTTR, Chennai from 17th June 2019 to 20th June 2019.
  • Attended a workshop titled ‘Internet of Things’ organized by Anna University, Chennai on 24th November 2018.
  • Attended a FDP on ‘Cyber Security-Network Security Tools organized by RMKEC on 19th November 2018.
  • Attended a workshop titled ‘Research Prospects in Image fusion’ organized by the Department of Information Technology, SSN College of Engineering, Chennai from 1st and 2nd February 2016.
  • Participated in FDP on ‘VLSI Design’ organized by St. Joseph’s College of Engineering, Chennai from 8th December 2014-15th December 2014.
  • Attended a One-day National Seminar on ‘Medical Imaging Techniques and Telemedicine’ at Easwari Engineering College, Chennai from 21st March-22nd March 2012.
  • Participated in an International Conference on ‘Millennium Development Goals’ organized by R.M.K group of institutions from 27th December 2009-29th December 2009

Events Organized

  • Organized an event “Deep Dive into Image Processing using Python” in Amrita School of Engineering on 26.9.2022 (Guest Speaker Dr. Karthik Seemakurthy-University of Lincoln, UK)

Guest Lecture delivered

  • Delivered a Virtual Research Webinar on “Computational Intelligence on Signal and Image Processing”, organized by Amrita Vishwa Vidyapeetham.
  • Delivered an invited talk in the 5-Day Faculty Development Program titled “AI for the Modern Engineer (AIME): Fundamentals, Applications & Future Trends” organized under the IEEE Signal Processing Society at SSN College of Engineering.
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