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Dr. P. Chitra

Assistant Professor, Department of Artificial Intelligence, AMRITA University, Coimbatore

Qualification: MPhil, Ph.D
p_chitra@cb.amrita.edu
Research Interest: Computer Vision, Deep Learning, Machine Learning

Bio Publications
Bio

Dr. P. Chitra is an accomplished academic and researcher with over 10 years of research experience and 8 years in teaching. She is currently an Assistant Professor in the Department of Artificial Intelligence, School of Artificial Intelligence, Amrita University, Coimbatore, India. Dr. Chitra specializes in Artificial Intelligence, Big Data Analytics, Quantum Computing, and advanced image compression techniques, including 4D medical imaging and autoencoders.
Her scholarly contributions include numerous publications in SCI and SCOPUS-indexed journals, patents in AI-driven healthcare solutions, and book chapters with Springer and IGI Global. Recognized with the Best Researcher Award (2023) and Best Paper Award (2019), she has also played key roles in curriculum design, research mentorship, and academic leadership. Dr. Chitra is passionate about leveraging emerging technologies to address real-world challenges in healthcare and computing.

Publications

Conference Paper

Year : 2023

Alzheimer’s Disease Development and Classification using MRI

Cite this Research Publication : Chitra, P., S. Naganandhini, R. Ramkumar, Merin Stepha J, K. Jessy, and S. Hemalatha. "Alzheimer's disease Development and Classification using MRI." In ICIMMI, pp. 44-1. 2023.

Year : 2023

Analysis of recent techniques, issues, and challenges for MRI brain images

Cite this Research Publication : Palanichamy, Chitra, Karthigai Selvi Sakthivelu, Nagaraja Perumal, Gayathri Sonachalam Pitchai, Lakshmanan Senthoorpandi, and Shanmugavadivu Pitchai. "Analysis of recent techniques, issues, and challenges for MRI brain images." In AIP Conference Proceedings, vol. 2847, no. 1. AIP Publishing, 2023.

Publisher : AIP

Year : 2022

Emotion Recognition Using Speech Based Tess and Crema Algorithm

Cite this Research Publication : Chitra, P., Indumathi, A., Rajasekaran, B., Babu, M.M. (2022). Emotion Recognition Using Speech Based Tess and Crema Algorithm. In: Suma, V., Baig, Z., Kolandapalayam Shanmugam, S., Lorenz, P. (eds) Inventive Systems and Control. Lecture Notes in Networks and Systems, vol 436. Springer, Singapore. https://doi.org/10.1007/978-981-19-1012-8_53

Publisher : Springer

Year : 2017

Adaptive Video Compression using Discrete Cosine and Wavelet Transform

Cite this Research Publication : Rani, M. Mary Shanthi, P. Chitra, and K. Anandharaj. "Adaptive video compression using discrete cosine and wavelet transform." Int. J. Comput. Sci. Eng. 6, no. 7 (2017): 166-173.

Year : 2016

A Novel Hybrid Method of Haar-Wavelet and Residual Vector Quantization for Compressing Medical Images

Cite this Research Publication : Rani, M. Mary Shanthi, and P. Chitra. "A novel hybrid method of haar-wavelet and residual vector quantization for compressing medical images." In 2016 IEEE International Conference on Advances in Computer Applications (ICACA), pp. 321-326. IEEE, 2016.

Publisher : IEEE

Year : 2015

K-Means Seeds Selection using PSO Algorithm

Cite this Research Publication : Rani, M. Mary Shanthi, and P. Chitra. "K-Means Seeds Selection using PSO Algorithm."

Book Chapter

Year : 2022

Emotion Recognition Using Speech Based Tess and Crema Algorithm

Cite this Research Publication : Chitra, P., Indumathi, A., Rajasekaran, B., Babu, M.M. (2022). Emotion Recognition Using Speech Based Tess and Crema Algorithm. In: Suma, V., Baig, Z., Kolandapalayam Shanmugam, S., Lorenz, P. (eds) Inventive Systems and Control. Lecture Notes in Networks and Systems, vol 436. Springer, Singapore. https://doi.org/10.1007/978-981-19-1012-8_53

Publisher : Springer

Journal

Year : 2022

[Retracted] DeepCompNet: A Novel Neural Net Model Compression Architecture

Cite this Research Publication : Mary Shanthi Rani, M., P. Chitra, S. Lakshmanan, M. Kalpana Devi, R. Sangeetha, and S. Nithya. "[Retracted] DeepCompNet: A Novel Neural Net Model Compression Architecture." Computational Intelligence and Neuroscience 2022, no. 1 (2022): 2213273.

Publisher : Wiley Online Library

Year : 2021

A Hybrid Medical Image Coding Based on block truncation coding and residual vector quantisation

Cite this Research Publication : Chitra, P., and M. Mary Shanthi Rani. "A hybrid medical image coding based on block truncation coding and residual vector quantisation." International Journal of Intelligent Enterprise 8, no. 2-3 (2021): 278-287.

Year : 2019

Adaptive Fractal Image Coding Using Differential Scheme for Compressing Medical Images

Cite this Research Publication : Chitra, P., M. Mary Shanthi Rani, and V. Sivakumar. "Adaptive fractal image coding using differential scheme for compressing medical images." In Advances in Computerized Analysis in Clinical and Medical Imaging, pp. 243-252. Chapman and Hall/CRC, 2019.

Year : 2018

Modified Haar Wavelet based Method for Compressing Medical Images

Cite this Research Publication : Chitra, P., and M. M. Shanthi Rani. "Modified haar wavelet based method for compressing medical images." Int J Eng Techniq (IJET) 4, no. 1 (2018): 554-566.

Year : 2018

Modified Scheme of Embedded Zero-Tree Wavelet (EZW) Using Vector Quantization and Run Length Encoding for Compressing Medical Images

Cite this Research Publication : Chitra, P., and M. Rani. "Modified scheme of embedded zero-tree wavelet (EZW) using vector quantization and run length encoding for compressing medical images." Journal of Computational and Theoretical Nanoscience 15, no. 6-7 (2018): 2415-2419.

Publisher : American Scientific Publishers

Year : 2016

Region of Interest Based Compression of Medical Images Using Vector Quantization            

Cite this Research Publication : Rani, M. Mary Shanthi, and P. Chitra. "MEDICAL IMAGES USING VECTOR QUANTIZATION."

Year : 2016

A Novel Hybrid Method of Haar-Wavelet and Residual Vector Quantization for Compressing Medical Images

Cite this Research Publication : Rani, M. Mary Shanthi, and P. Chitra. "A novel hybrid method of haar-wavelet and residual vector quantization for compressing medical images." In 2016 IEEE International Conference on Advances in Computer Applications (ICACA), pp. 321-326. IEEE, 2016.

Publisher : IEEE

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