NEWS

E. Suganyahas over 6 years of teaching experience and 3 year of Research experience. She received her B.Tech (IT) degree from B.S.A Crescent Engineering College, Chennai M.E. in Computer Science and Engineering from Anna University, Chennai and Ph.D. from Anna University, Chennai in the area of Data Analytics and Optimization.

She is a recognized research supervisor at Anna University, Chennai. She is presently guiding three Ph.D. scholars in the multi-disciplinary domains of Anomaly detection, Data security, Healthcare.  Her research interest includes security, soft computing, and data mining.

She has published more than 30 papers in International and National Journals and Conferences. One of her papers has been awarded “Best paper award” at IEEE international conference. She is a Lifetime member of ISTE professional society.

Funded Projects

As Co- PI she has received funded project from SSN Trust worth 1.10 Lakhs.

Publication Details

SCI :3 / Scopus: 21 [Cumulative Impact Factor: 7.1]

National / International Journals Published:

1. Nivashini M, Thangaraj P, S Sountharrajan, E Suganya, “Sountharrajan S and E Suganya, “Effective Feature Selection for Hybrid Wireless IoT Network Intrusion Detection Systems Using Machine Learning Techniques”, Ad Hoc & Sensor Wireless Networks, AHSWN 49.3-4, p. 175-206. Impact Factor: 0.9. 2021 [SCIE]
2. Suganya,E, Rajan C,2020 ‘An Adaboost-Modified Classifier Using Particle Swarm Optimization and Stochastic Diffusion Search in Wireless IoT Networks’, Wireless Networks, Springer. vol. 27, issue no. 4, pp. 2287-2299. Impact factor: 2.659 (SCIE)
3. Suganya,E, Rajan C, 2019 ‘An AdaBoost-modified classifier using stochastic diffusion search model for data optimization in Internet of Things’, Soft Computing, Springer. vol 24, issue 14. Pp. 10455–10465. Impact factor: 3.643.(SCIE).
4. Karthiga, M, Sountharrajan, S, and Suganya, E, “Sentence Semantic Similarity Model Using Convolutional Neural Networks”, EAI Energy Web. Volume 8, Issue 35, e8.2021.
5. Palaniraja N, Sountharrajan, S, Karthiga, M and Suganya, E, Top ‘N’ Variant Random Forest Model for High Utility Itemsets Recommendation, EAI Energy Web. Volume 8, Issue 35, e7, 2021. Scopus
6. Shishir K Shandilya, Sountharrajan S, Smita Shandilya, E Suganya, ’Big Data Analytics Framework for Real-Time Genome Analysis: A Comprehensive Approach’, International Journal of Computational and Theoretical Nano science, Vol. 16, 3419–3427, 2019.(Scopus)
7. Suganya E, Sountharrajan, S, Shishir K Shandilya, Karthiga M, ‘Mobile Cancer Prophecy System to assist patients: Big Data Analysis and Design’, International Journal of Computational and Theoretical Nano science, 16(8):3623-3628. (Scopus) 2019
8. E.Suganya, N. Aravindhraj, S. Sountharrajan, G. Sathish Kumar and C. Rajan, 2017,’Automatic Classification for Preventing Duplication of Online Multimedia Data in Secure Cloud Infrastructure’, International Journal of Advanced Intelligence Paradigms.16(3-4):DOI:10.1504/IJAIP.2020.10028402. Inderscience Publishers. (Scopus). 2020
9. Sountharrajan, S, Suganya, E, Aravindhraj, N, and Rajan, C, 2017, ‘HDFS Based Parallel and Scalable Pattern Mining Using Clouds for Incremental Data’, International Journal of Computer Aided Engineering and Technology. DOI: 10.1504/IJCAET.2020.10029059, Inderscience Publishers. Scopus (ESCI).2020
10. Sountharrajan, S, Suganya, E, Karthiga, M and Rajan, C, 2018, ’Automatic Glioblastoma Multiforme detection using Hybrid SVM with Improved Particle Swarm Optimization’, International Journal of Biomedical Engineering and Technology’. Vol. 26, Nos. 3/4, 2018. Inderscience Publishers. Scopus (ESCI). 2018
11. Sountharrajan, S, Karthiga, M, Suganya, E and Rajan, C, 2017, ‘Automatic Classification on Bio Medical Prognosis of Invasive Breast Cancer’, Asian Pacific Journal of Cancer Prevention, Volume 18, Issue 9, Page 2541-2544. Scopus (ESCI).2018
12. Vijayakumar, K, Sountharrajan, S, Suganya, E, 2018, Synthesis, Characterization, and Evaluation of Cancer Prevention Activity of Novel Modified Heterocyclic Compounds’ Asian Pacific Journal of Cancer Prevention, Volume 19, Issue 1, January 2018, Page 247-252.Impact Factor:0.27. Scopus (ESCI).
13. Sountharrajan S, P Thangaraj, E Suganya, (2016). ‘Particle Swarm Optimized Feature Selection for Alzheimer’s Classification’. IIOAB Journal. Vol.7.Issue: 7. Pages: 787-794. (Scopus)
14. Suganya, E, Archana, M, Sountharrajan, S, and Rajan,C, 2017, ‘Metaheuristic Optimization Technique for Feature Selection to Detect The Alzheimer Disease From MRI’, International Journal of Advanced research and Dynamic Systems, Pages:1368-1381.Impact Factor:0.27, Scopus.

International Conferences: (Scopus: 3)

1. Aabir Datta, Om Krishna Yadav, Yukti Singh, S Sountharrajan, M Karthiga, E Suganya” Real-Time Face Swapping System using OpenCV”, 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA), IEEE 2021. (Scopus Indexed)

2. Karthiga, M., Sountharrajan, S., S S, N., Suganya, E., Sankarananth, S. “A Deep Learning Approach to classify the Honeybee Species and health Identification (2021) Proceedings of 2021 IEEE 7th International Conference on Bio Signals, Images and Instrumentation, ICBSII 2021, art. no. 9445173. (Scopus Indexed)

3. Bellad, S.C., Mahapatra, A., Ghule, S.D., Shetty, S.S., Sountharrajan, S., Karthiga, M., Suganya, E. Prostate cancer prognosis-a comparative approach using machine learning techniques (2021) Proceedings – 5th International Conference on Intelligent Computing and Control Systems, ICICCS 2021, art. no. 9432173, pp. 1722-1728. (Scopus Indexed)

4. Sountharrajan S: Karthiga M, Sountharrajan S , E Suganya and B Sathiskumar, “Semantic analytics for Semantic text using Natural Language Processing”, BDCC 2020-EAI International Conference on Big Data Innovation for sustainable Cognitive Computing, Scopus Indexed. 10.1007/978-3-030-78750-9. (Scopus) (To be Indexed)

Book Chapter: (Scopus: 4)

1. Balasaraswathi, M., Sivasankaran, V., Akshaya, N., Baskar, R., Suganya, E. Internet of things (Iot) based bio-inspired artificial intelligent technique to combat cybercrimes: A review (2020) EAI/Springer Innovations in Communication and Computing, pp. 141-155.

2. Sountharrajan S, Karthiga M, Nandhini S S, Suganya E, Sathis kumar B,“On-the-Go Network Establishment of IoT Devices to Meet the Need of Processing Big Data Using Machine Learning Algorithms”, Business Intelligence for Enterprise Internet of Things, Springer. May 2020. (Scopus)

3. Suganya, E, M, Sountharrajan S, Karthiga M, IoT in Agriculture: Investigation on Plant diseases and nutrient level using and Image Analysis“, Internet of Things in Biomedical Engineering, Elsevier, USA, June 2019. (Scopus)

4. Nivashini M, Sountharrajan S, Karthiga M “Dynamic Detection of Phishing URLs using Deep Learning Techniques”, Advances in Cyber Security Analytics and Decision Systems, Springer-USA Jan 2020.(Scopus)