Priyadharsini C, Jagadeesh Kannan R, “Retinal image enhancement based on color dominance of image”, Nature Scientific Reports 13, 7172 (2023). https://doi.org/10.1038/s41598-023-34212-w, (SCI – 4.996) 

C. Priyadharsini, R Jagadeesh Kannan, Farrokh Khadeer Hussain, “A survey on recent computer-aided diagnosis for detecting Diabetic Retinopathy”, Tele-Healthcare Applications of Artificial Intelligence and Soft Computing Techniques, (27-58), 2022 Scrivener Publishing LLC (SCOPUS) 

C. Priyadharsini, J. Jeyapriya, R. Jagadeesh Kannan, G. Bharadwaja Kumar, and T. Prasad Sakriki, “Classification of Diabetic Retinopathy using Residual Neural Network,” IOP Conf. Ser. Mater. Sci. Eng., vol. 925, no. 1, p. 012033, Sep. 2020, doi: 10.1088/1757- 899X/925/1/012033. (SCOPUS)

V. Vaithiyanathan Dr, M.M. Anishin Raj, Venkatraman Balasubramaniam, V. Radha Krishnan, C. Priyadharsini, K. Bhuvaneshwari, “Disaster avoidance through the lack of penetration weld defect using search space reduced Hough transforms", Disaster Advances, indexed in SCIE and SCOPUS. Impact factor: 2.272

Venkatanathan N, Balasubramanian Kaarthick, Chandrasegaran Priyadharsini, "OLR anomalies prior to big earthquakes (Mw greater than 6.0) - a statistical case study on predicting earthquakes of India's neighboring region occurred during the year 2012" , NCGT, Volume 1(3), Pages 34-44, 2013

International and National Conferences:

Certified for best presentation in an International Conference for the topic ”Socio-psychological aspects of women” conducted by IMRF under the oral presentation category 

Presented the extension of ”Socio-psychological aspects of women” work at the 4th World Conference on Women Studies in Srilanka between May3rd to May 5th, 2018 

Presented a paper titled "Globalizing Rural Women Entrepreneurship" at the International conference ICRESD 2013

Received the Raman Research Award for significant research contribution and publication in SCI-indexed journal.

Received Certificate of Excellence and Best Team Award from TCS (2016)

Received Star of the Quarter and Special Initiative Award from TCS (2015)

Secured state 1st and national level 67th in Interactive Olympiad conducted by Eduheal foundation during the year 2009.

Position-Aware Graph Neural Networks using Reachability Estimations webinar organized by Indian Institute of Information Technology, Kottayam on 24th September 2022. 

FDP on Deep Learning and AI Applications from 5th -14th July, 2021, organized by E & ICT Academy, NIT, Warangal in association with SCOPE, VIT, Chennai.

Short Term Training Program on Deep Learning and CNN from 20th Jan 2020 to 24th Jan 2020 organized by the School of Computer Science and Engineering in association with the University of Technology, Sydney at VIT, Chennai. 

Industry Experience:

Functional Analyst/Developer at Tata Consultancy Services from Feb 2015 to Sep 2018

Research Experience:

Research Intern at Pattanam Archaeological Research Department, Kerala from Dec 2013-March 2014

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