
Dr.S.Chandrakala
Educational Qualifications
- 2011 Ph. D -Indian Institute of Technology Madras
- 2002 M.Tech - SASTRA University, Thanjavur.
- 1992 B.E - Thiagarajar College of Engineering, Madurai.
Area of Research
- Machine Learning
- Deep Learning
- Speech and Sound Technology
- Computer Vision
Bio
Dr.S.Chandrakala is a Professor with the Department of Computer Science and Engineering, Shiv Nadar University, Chennai. She earned herPh.D degree from the department of Computer Science and Engineering, Indian Institute of Technology Madras in the year 2011.She has over 28 years of experience in academics and industry.Prior to the association of SNU, she has served as a Professor in SASTRA University, Thanjavur. As a Principal Investigator, she has carried out a DST-CSRI funded project for Rs.36 lakhs for the period from 2019 to 2022. As a research supervisor, she has guided 4 research scholars and their Ph.Ds awarded.She has presented several research papers in International Conferences & published articles and book chapters in reputed Journals.
Publications
- Chandrakala S and Vishnikaveni, “Denoising convolutional autoencoder based approach for disordered speech recognition,International Journal of Artificial Intelligence Tools, September 2023. https://doi.org/10.1142/S0218213023500586
- Chandrakala S, Deepak K and Revathy G, “Anomaly detection in surveillance videos: A thematic taxonomy of Deep Models, Review and Performance Analysis”, Artificial Intelligence Review, 56, 3319-3368, 2023, IF 9.588
- Chandrakala S, LKP Vignesh, “V2AnomalyVec: Deep Discriminative Embeddings for Detecting Anomalous Activities in Surveillance Videos”, IEEE Transactions on computational Social Systems, 9(5), 1307-1316, 2022, IF 4.747
Awards
- IEEE Publication award by IEEE Madras section in 2020 and 2021.
- Evaluator of AQIS Research proposals by AICTE, Govt. of India.
- Honorary Rosalind Member of London Journals Press, United Kingdom,ID #DT22993, 2021
- Got full sponsorship from Boston University, Massachusettes, USA and presented paper on “Support vector clustering for recognition of vowel data” International Conference on Cognitive and Neural systems, Boston, USA, May 2007.