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Dr. R Karthika

Assistant Professor (SR), Department of ECE, Amrita School of Engineering, Coimbatore

Qualification: M.Tech., Ph.D
@amrita.edu

Bio

R. Karthika is working as an Assistant Professor in the department of Electonics and Communication Engineering, School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore. She completed her B. E. degree in Electronics and Communication from Madras University in 2000. She received her M.Tech. degree in Computer Vision and Image Processing from Amrita Vishwa Vidyapeetham. She received her Ph. D. degree in Computer science and engineering from Amrita Vishwa Vidyapeetham, Coimbatore, in 2022.Her current research interests include Image Processing, Machine learning and Deep Learning. She is a member in Institution of Electronics and Telecommunication Engineers (IETE).

Publications

Journal Article

Year : 2022

Evaluating the scalability of a multi-object detector trained with multiple datasets

Cite this Research Publication : TR, K.K., Thiruvikkraman, S., Gokul, R., Nirmal, A. and Karthika, R., 2021, May. Evaluating the scalability of a multi-object detector trained with multiple datasets. In 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS) (pp. 1359-1366). IEEE.

Publisher : IEEE

Year : 2022

Classification of diabetic retinopathy through identification of diagnostic keywords

Cite this Research Publication : Yadeeswaran, K.S., Mithra, N.M., Varshaa, K.S. and Karthika, R., 2021, September. Classification of diabetic retinopathy through identification of diagnostic keywords. In 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA) (pp. 716-721). IEEE.

Publisher : IEEE

Year : 2022

Performance Analysis of Different Deep Learning Models for Forest Fire Classification

Cite this Research Publication : Harshaw Kamal, S., Ragul Raj, R.K., Sabari, T. and Karthika, R., 2022. Performance Analysis of Different Deep Learning Models for Forest Fire Classification. In Disruptive Technologies for Big Data and Cloud Applications (pp. 143-151). Springer, Singapore.

Year : 2022

Term Preterm Delivery Classification with Electro Hysterogram and Performance Analysis

Cite this Research Publication : Hari, S. and Karthika, R., 2022, June. Term Preterm Delivery Classification with Electro Hysterogram and Performance Analysis. In 2022 7th International Conference on Communication and Electronics Systems (ICCES) (pp. 205-209). IEEE.

Publisher : 2022 7th International Conference on Communication and Electronics Systems (ICCES)

Year : 2022

Phonoarthrography for Early Detection of Osteoarthritis using Machine Learning

Cite this Research Publication : Sayed, M., Karthika, R. and Makena, V.K.K., 2022, June. Phonoarthrography for Early Detection of Osteoarthritis using Machine Learning. In 2022 7th International Conference on Communication and Electronics Systems (ICCES) (pp. 1066-1072). IEEE.

Year : 2022

An automated vision-based algorithm for out of context detection in images

Cite this Research Publication : Karthika, R., Parameswaran, L., An automated vision-based algorithm for out of context detection in images, International Journal of Signal and Imaging Systems Engineering, Volume 11, Issue 1, 2018, Pages 1-8

Year : 2022

Smart surveillance system using computer vision and internet of things

Cite this Research Publication : Hemaanand, M., Sanjay Kumar, V., Karthika, R., Smart surveillance system using computer vision and internet of things, Journal of Computational and Theoretical Nanoscience, Volume 17, Issue 1, 2020, Pages 68-73

Year : 2022

EEG Signal Analysis Using Machine Learning Techniques

Cite this Research Publication : Hari Prasad, P., Bala, A., Jai Aakashaakash, N.S., Ganesan, M., Venithraa, G., Karthika, R., EEG signal analysis using machine learning techniques, Journal of Advanced Research in Dynamical and Control Systems,Volume 12, Issue 5 Special Issue, 2020, Pages 207-214

Year : 2022

A Novel Convolutional Neural Network Based Architecture for Object Detection and Recognition with an Application to Traffic Sign Recognition from Road Scenes

Cite this Research Publication : Karthika, R. and Parameswaran, L., 2022. A Novel Convolutional Neural Network Based Architecture for Object Detection and Recognition with an Application to Traffic Sign Recognition from Road Scenes. Pattern Recognition and Image Analysis, 32(2), pp.351-362.

Publisher : Pattern Recognition and Image Analysis

Year : 2021

Classification of diabetic retinopathy through identification of diagnostic keywords

Cite this Research Publication : Yadeeswaran, K.S., Mithra, N.M., Varshaa, K.S. and Karthika, R., 2021, September. Classification of diabetic retinopathy through identification of diagnostic keywords. In 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA) (pp. 716-721). IEEE.

Publisher : IEEE

Year : 2021

Performance Analysis of Diabetic Retinopathy Classification using CNN

Cite this Research Publication : Vinuja, S., TR, K.K. and Karthika, R., 2021, September. Performance Analysis of Diabetic Retinopathy Classification using CNN. In 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA) (pp. 823-828). IEEE.

Publisher : IEEE

Year : 2021

Classification of In-House Managed Equipment by Listing Its Parts

Cite this Research Publication : Aruna, S.V. and Karthika, R., 2021. Classification of In-House Managed Equipment by Listing Its Parts. In Computer Networks and Inventive Communication Technologies (pp. 337-349). Springer, Singapore.

Year : 2021

Diabetes prediction using machine learning algorithms with feature selection and dimensionality reduction

Cite this Research Publication : Sivaranjani, S., Ananya, S., Aravinth, J. and Karthika, R., 2021, March. Diabetes prediction using machine learning algorithms with feature selection and dimensionality reduction. In 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS) (Vol. 1, pp. 141-146). IEEE.

Publisher : IEEE

Year : 2020

A Hybrid Optimum Method for Removal of Haze using Weight Map Estimation and Fusion Strategy

Cite this Research Publication : Subramanium, V.S.G., Prasath, R.S.V., Vaishnav, P., Venkatraghavan, S., Karthika, R., A Hybrid Optimum Method for Removal of Haze using Weight Map Estimation and Fusion Strategy, 2019 5th International Conference on Advanced Computing and Communication Systems, ICACCS 2019, March 2019, Article number 8728354, Pages 844-848

Publisher : IEEE

Year : 2020

Deep Learning based Smart Garbage Classifier for Effective Waste Management

Cite this Research Publication : Sidharth, R., Rohit, P., Vishagan, S., Karthika, R., Ganesan, M., Deep learning based smart garbage classifier for effective waste management, Proceedings of the 5th International Conference on Communication and Electronics Systems, ICCES 2020,June 2020, Article number 09137938, Pages 1086-1089

Publisher : IEEE

Year : 2020

Evaluating performance of deep learning architectures for image classification

Cite this Research Publication : Saiharsha, B., Abel Lesle, A., Diwakar, B., Karthika, R., Ganesan, M., Evaluating performance of deep learning architectures for image classification, Proceedings of the 5th International Conference on Communication and Electronics Systems, ICCES 2020, June 2020, Article number 09137884, Pages 917-922

Publisher : IEEE

Year : 2020

Real Time Pedestrian Detection Using Modified YOLO V2

Cite this Research Publication : Harisankar, V., Karthika, R., Real time pedestrian detection using modified Yolo V2, Proceedings of the 5th International Conference on Communication and Electronics Systems, ICCES 2020, June 2020, Article number 09138103, Pages 855-859

Year : 2020

R – Peak Detection using Altered Pan-Tompkins Algorithm

Cite this Research Publication : Palaniappan, Y., Vishanth, V.A., Santhosh, N., Karthika, R. and Ganesan, M., 2020, July. R-Peak Detection using Altered Pan-Tompkins Algorithm. In 2020 International Conference on Communication and Signal Processing (ICCSP) (pp. 1501-1505). IEEE.

Publisher : IEEE

Conference Proceedings

Year : 2018

Classification of High Resolution Remote Sensing Images using Deep Learning Techniques

Cite this Research Publication : Alias, B., Karthika, R., Parameswaran, L.,Classification of High Resolution Remote Sensing Images using Deep Learning Techniques, 2018 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018, 30 November 2018, Article number 8554605, Pages 1196-1202

Publisher : 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI)

Book Chapter

Year : 2019

Content-based image retrieval using hybrid feature extraction techniques

Cite this Research Publication : B. Akshaya, Sri, S., Sathish, A., Shobika, K., Karthika, R., and Parameswaran, L., “Content-Based Image Retrieval Using Hybrid Feature Extraction Techniques”, in Lecture Notes in Computational Vision and Biomechanics, 2019, pp. 583-593.

Publisher : Lecture Notes in Computational Vision and Biomechanics

Qualification
Degree Specialization University / Institute Year
PhD Image processing Amrita Vishwa Vidyapeetham 2022
M.Tech Computer vision and Image processing Amrita Vishwa Vidyapeetham 2011
Experience
Position Organization Period Domain
Assistant Professor(SR) Amrita Vishwa Vidyapeetham 2007-till date Teaching and Research
Assistant Professor Amrita Vishwa Vidyapeetham 2001-2007 Teaching and Research
Lecturer Amrita Vishwa Vidyapeetham 2000-2001 Teaching
Academic Responsibilities
S No Position Class / Batch Responsibility
1. Batch Coordinator 2016-2020 Interacting with Class advisor and students for the smooth conduct of the academic progress.
2. Class Adviser 2016-20/ECE A,2020-24/ECE-B Monitoring students and counselling.
3. Department counsellor ECE Counselling the students and update the details in the CMS.
4. Academic Coordinator 2020-passed out students Guiding the students to registering the suitable course.
Courses Handled

Undergraduate Courses handled

  1. Digital Signal Processing
  2. Signals and systems
  3. Linear integrated circuits.
  4. Digital circuits and systems

Post-Graduate / PhD Courses handled

  1. Image and video processing.
  2. Sensing for autonomous vehicle.
  3. Video processing and analysis.
FDP

Participation in Faculty Development / STTP / Workshops /Conferences

S No Title Organization Period Outcome
1. National workshop on computer vision and image processing techniques Amrita vishwavidyapeetham, Coimbatore April 30 – 31, 2017 Elective Course and Research
2. ISRO sponsored national seminar on Techniques and applications of hyperspectral image analysis. Amrita vishwavidyapeetham, Coimbatore April 19 – 20, 2016 Elective Course and Research
3. ITAA-Training Amrita vishwavidyapeetham, Coimbatore July 10, 2015 Trained for Counselling
4. DRDO sponsored National symposium on green Electronics Amrita vishwavidyapeetham, Coimbatore December 12 – 13, 2014 Research
5. IETE sponsored the art of technical paper writing and professional Ethics. Amrita vishwavidyapeetham, Coimbatore October 16, 2014 Research
6. Research seminar on emerging perspectives in Nano electronics R&D Amrita vishwavidyapeetham, Coimbatore September 19, 2014 Research
7. Signal and image processing applications using Xilinx system generator Amrita vishwavidyapeetham, Coimbatore April 10 – 11, 2014 Research
8. ISTE workshop on signals and systems Indian institute of technology, kharagpur January 2 – 12, 2014 Teaching learning process
9. Image processing with Beagle board Amrita vishwavidyapeetham, Coimbatore December 20, 2014 Research
10. National level workshop on Sparse image and signal processing Amrita vishwavidyapeetham, Coimbatore June 3 – 4, 2013 Research
11. Workshop on open source for computer vision and image processing Amrita vishwavidyapeetham, Coimbatore September 29 – October 12 Research
Research

Academic Research – PhD Guidance

S No Name of the Scholar Specialization / Title Duration / Registration Status / Year
1. Ms. Vrindha U.K Image processing 2022 Course work going on.

Academic Research – PG Projects

S No Name of the Scholar Programme Specialization Duration Status
1. Matha vijaya phanindra kumar Automotive Electronics Realistic lidar data generation using deep learning technique. 2022-23 On going
2. Harini. G Bio medical engineering Liver tumor segmentation and detection 2022-23 On going
3. Angeline.J Bio medical engineering Sementation of retinal blood vessel 2022-23 On going
4. Shaalini. R Bio medical engineering Neuro chaos learning in seizure 2022-23 On going
5. Sree lakshmi Bio medical engineering Medical image processing 2021-22 Completed
6. Marwana syad Bio medical engineering Detection of Osteoarthritis using Machine Learning. 2021-22 Completed
7. Amara dineshkumer Automotive Electronics Advanced driver assistance systems 2018-19 Completed
8. Bini alias Communication engineering and signal processing Remote sensing image classification using deep learning 2017-18 Completed
9. Sathya. S Communication engineering and signal processing Content based image retrieval 2016-17 Completed
10. Vishnumaya Communication engineering and signal processing Image processing 2015-16 Completed

Sponsored Research
Sanctioned Projects

S No Title Agency Amount Duration Status
1. Cow-Kin: Smart and precision animal farming for the health and welfare of the cattle SONY-SSUP 14 lakhs One year On going
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