P.Valarmathi, Y. Suganya, K. R. Saranya & S. Shanmuga Priya,”Enhancing parkinson disease detection through feature based deep learning with autoencoders and neural networks”,  Scientific   report (2025) 15:8624,

 https://doi.org/10.1038/s41598-025-88293-w., Springers -March 2025.

Saranya K R, Josephine Usha L,  Valarmathi P and Suganya Y,”Next-Generation Vaccines: Leveraging Deep Learning for Predictive Immune Response and Optimal Vaccine Design”,Journal of Machine and Computing ,Doi: https://doi.org/10.53759/7669/jmc202505061, ISSN: 2788–7669, AnaPub Publications,05 April 2025.

Melvin M Kurien, Nivas S and Dr.Y.Suganya , “A Web-Based Service Booking & Recommendation System with Fake Review Detection”,Journal of Emerging Technologies and Innovative Research (JETIR), volume 12,issue 5, Mayc2025, www.jetir.org (ISSN-2349-5162)

Y. Suganya, Ch. Sudha Sree, S. Kayalvili, D. Joel Jebadurai, M. Sowmya Vani, S. Dhivya, Sivakrishna K, R. Vijaya Kumar Reddy,”Enhancing Cryptocurrency Market Predictability Using Artificial Intelligence: A Platform for Predicting Prices and Trends of Bitcoin, Ethereum, and Cardano”,International Journal of Basic and Applied Sciences, 14 (2) (2025) E-ISSN: 2227-5053, pg.no 504-519, https://doi.org/10.14419/y2zvbk18, 31st May 2025

Sridevi, P.Valarmathi, Y.Suganya, June 2020, ‘ Identifying Malware and Hidden Attacker in Incoming Sources’,ISSN No: 0042-9945, Waffen -Und Kostumkunde Journal, volume XI,Issue VI, Pg.no.73-84.

R.Arunadevi, Y.Suganya, Dr.P.Valarmathi ,March 2021 ’ Classification of TORCH infection Over Big data Using Deep Learning’ , DOI: 10.12733.JICS.2021.V1113535569.30045.,UGC – Care II Journal, Page .no. 268-274.

S.Anitha, Dr.P.Valarmathi, Y.Suganya,March 2021,’ Liver Cancer Prediction Using Segmentation and Classification Techniques’ , DOI: 10.12733.JICS.2021.V1113535569.30045.,UGC – Care II Journal, Pg.no. 396-406.

Dr.K.Geetha,Y.Suganya,B.Rama,December 2018,’An Enchanced Multihop Low Energy Adaptive Clustering Hierarchy Using Energy Aware Minimum Spanning Tree’, Globus Journal of Engineering and Reseaches,DOI-10.5281,ISSN 2348-8034,Pg.no.327-338.

Y.Suganya,Dr Sumathi Ganesan, Dr.P.Valarmathi 2021,’Classification and Prediction of PCOS images using Deep Learning Techiques-A Survey’,ISSN: 0975-4520 Vol-24 No.02(C).,UGC Group I Journal,Pg.No.5-16.

Y.Suganya,Dr.Sumathi ganesan,Dr.P.Valarmathi, “ A Diagnosis of Ovarian Cyst using Deep Learning neural network with the XGBoost Algorithm”, International Journal of Information Technology [ Springers],Aug 18 2023 .  

https://link.springer.com/journal/41870/onlineFirst. 

Y.Suganya,Dr.Sumathi ganesan,Dr.P.Valarmathi,”Prediction of Ovary Cysts Combining LGBM and Neural network mdels”,European chemical Bulletin,[Scopus], ISSN 2063-5346,  Jun 2023.

doi: 10.48047/ecb/2023.12.7.1732023.17/06/2023

Y.Suganya,Dr.Sumathi ganesan,Dr.P.Valarmathi,”Deep Learning neural network image classification of ultrasound ovaraian cyst”,Journal of Xidian University , ISSN No:1001-2400,DOI:10.37896/jxu16.11/074 ,VOLUME 16, ISSUE 11, 2022(Scopus).

https://xadzkjdx.cn/index.php/volume-16-issue-11-nov-22

Y.Suganya,Dr.Sumathi ganesan,Dr.P.Valarmathi,”Ultrasound Ovary cyst image classification with deep learning neural network and Support vector machine “,International Journal of Health Science,May 2022.[Scopus ]  

https://doi.org/10.53730/ijhs.v6nS2.7304 

G.Sharmila,N.Pavithra,D.Ramya Cauvery and Y.Suganya,” Personal Protective equipment Monitoring in Construction Site Using Deep Learning Neural Network”, Tujin Jishu, Journal of Propulsion Technology, ISSN:1001-4055, Vol.44 No.3,2023.

International Conferences:

Aaselasha, Suganya Y, “Satellite Image Land Classification”,  International Conference on Recent Advancements in Artificial Intelligence & Soft Computing - ICAISC-2025,Department of Computer Science and Engineering, Methodist College of Engineering and Technology, Hyderabad, June 5&6

K.R.Saranya, SuganyaY,”Data-Driven Model for Real-Time Heart Disease risk Prediction and Lifestyle Guidance”, KPR institute of Engineering and Technology, IEEE ,International Conference on smart system, Power electronics, AI,Robotics and Knowledge Engineering (SPARK 2025), July 18th

Y.Suganya,Dr Sumathi Ganesan, Dr.P.Valarmathi 2021,’Classification and Prediction of PCOS images using Deep Learning Techiques-A Survey’,ICSPEC2021,Hyderbad,Telugana.

Y.Suganya, P.C.Chandrika, R.Arthie Reena, “Detecting forged images using Edbtc Feature”,  International Conference on Recent Innovations in Engineering & Technology,  182-186, December 2017, Aurora’s Scientific, Technological & Research Academy, Hyderabad.

Y.Suganya, “Learning Rotation Invariant Convolutional Neural Networks for Object Detection”, International Conference on Scientific Research of Engineering & Technology, 17 & 18 March 2017, Ranganathan Engineering College, Coimbatore.

Y.Suganya, “Query Driven Data Collection and Data Forwarding in Intermittently Connected MSN”, International Conference on Innovations in Computer Science & Technology, 4 & 5 April 2016, Algappa University, Karaikudi.

Y.Suganya, “A Multihop leach using energy aware minimum spanning tree”, International Conference on Recent Trends in Engineering and Technology(ICRTET-2015), 23 & 24, August 2015 , Mount Zion Engineering College, Pudukkottai.

Y.Suganya,Dr.Sumathi ganesan,Dr.P.Valarmathi,”Analysing the Performance of Segmentation Methods in Ovarian Cyst Image Classification”, International Research Conference On Engineering Management Science And Technology ( IRCEMST " 23 ) , Pg.no. 52, May 2023.

P. Valarmathi; P. Vasudevan; Y. Suganya; T. JahirHussain , “A Robust Development to Predict Black Fungus Disease with Enhanced Learning Principles”, IEEE Conference Publication | IEEE Xplore, doi:10.1109/ICONSTEM60960.2024.10568773,2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM),28 June 2024, ISBN:979-8-3503-6510-8

Dr.Y.Suganya, Dr.K.R.Saranya,”Ovarian cyst diagnosis system using generative adversarial network”, International Conference on computational mathematics and Advance in Modern Technology (ICCMAMT-2024), Hindustan Institute of Technology and Science, 16-18 Oct 2024.

Patents

Title : System and Method to predict Diabetic Retinopathy using Supervised machine Learning Date of pubication : 17/02/2023    

   

Title : Artificial Intelligence Based Approach for Targeted and Therapeutic Treatment of Cancer Patients Through Novel Drug Delivery Systems Year of Publication : 2022

Leilani Katie Publication and SKRGC Academy,  the  Indira Gandhi Excellence Award 2025 awarded “Best Researcher Award”  held on 08th March 2025

"International Forensic Scientist Awards" presented "Best Researcher Award" , Entry ID: 1624 e-certificate on March 25 ,2025

Completed NPTEL online certification for CLOUD COMPUTING.

Coordinated a team towards NBA accreditation work for the Computer Science Department of Mookambigai College of Enigeering.

Produced 100%  result in many semesters in the classes engaged.

Resource Person

Resource person for guest lecture on Advance Concept in  Digital image processing on 08.01.2019 Dr.A.P.J Abdul kalam lecture hall, The Institution of Engineers(India), BHEL Main office, Trichy.

Participated

Participated in  FDP on induction program 24th Jun to Jul 9th  2024, organised by SRMIST, Trichy.

Participated in  FDP on UHV 1 ,17th to 22rd Jun 2024, organised by NITTTR, New Delhi.

Participated in  International FDP on Data science tools 12th Jul to 01th Aug 2023, organised by SRMIST, Trichy.

Participated in  FDP on NAAC accredation 07thto 13th Feb 2022, organized by SASTRA University , Tanjur.

Participated in  webinar on Convalutional neural network in image

processing  17th jun 2020, organised by Mookambigai college of
Engineering , Pudukottai.

Participated in  webinar on Data visualization using tableau
26th jun 2020, organised by Mookambigai college of Engineering,
Pudukottai.

Participated in  online FDP  on IPR ethics & trails in research  3rd
May 2020, organised by Santhiram Engineering college  , Andhra

pradesh.

Participated in  online FDP  on speech and image processing
using deep learning techniques   03rd to 09th Mar 2021,
organised by Annamalai University.

Participated in  online FDP  on Application of  image processing
using deep learning techniques   14th to 19th  Jul 2020, organised
by St.Joseph college of engineering,Chennai.

Participated in  online FDP  on 360 degree classroom
management    16th  to 22nd  May 2020, organised by Sai ram college of engineering , Chennai.

Resource Person

Resource person for guest lecture on Advance Concept in  Digital image processing on 08.01.2019 Dr.A.P.J Abdul kalam lecture hall, The Institution of Engineers(India), BHEL Main office, Trichy.

Academic Experience:

•  Lecturer, Department of Information and technology , Idhaya Engineering College for Women, Chinna Salem,Tamilnadu 

(Jan 2006 – Apr 2007).

• Assistant Professor, Department of Computer Science and Engineering, Mookambigai College of engineering, Pudukottai 

(Jun 2011 - May 2024)