Date of Birth:

9^th Feb 1981

Qualification:

Ph.D. Degree in Computer Science and Engineering, 2020, JNTU – Hyderabad.
PG Degree: M. Tech in Software Engineering, 2007, JNTU – Hyderabad.
UG Degree: B. Tech in Computer Science & Engineering, 2004, SCET, Hyderabad.

Areas of Specialization:

Computer Networks, Network Security, Mobile Computing, Wireless Ad hoc Networks, Data Science, Machine Learning, AgriGenomics, and Bioinformatics.

Subjects Taught:

Database Management Systems, Cryptography and Network Security, Computer Networks, Data Communications, Computer Networks, Data Structures through C, C Programming and Data Structures, Operating Systems, Human-Computer Interaction, Network Programming, Network Security, Mobile Computing, Database Security, Information Retrieval Systems, and Information Security.

Papers Published:

1. Dr. Sandhya Venu Vasantha, Dr. Shirina Samreen, Yelganamoni Lakshmi Aparna, “Rice Disease Diagnosis System (RDDS)”, Computers, Materials & Continua ISSN: 1546-2218 (Print) ISSN: 1546-2226 (Online)– SCI and Scopus indexed Journal, 2022, Vol.73, No.1, 2022, pp.1895-1914, doi:10.32604/cmc.2022.028504
2. Swathi B, Sandhya Rani K, Dr. Sandhya Venu Vasantha, Mr. Kalyan M, “HCUGAN: Hybrid Cyclic UNET GAN for Generating Augmented Synthetic Images of Chest X-Ray Images for Multi Classification of Lung Diseases”, International Journal of Engineering Trends and Technology, – Scopus indexed Journal, 2022, Volume-70 Issue-2,DOI: 10.14445/22315381/IJETT-V70I2P227
3. Dr. S.V. Vasantha, Dr. B. Kiranmai, “MACHINE LEARNING BASED BREEDING VALUES PREDICTION SYSTEM(ML-BVPS)”, INTERNATIONAL CONFERENCE ON DATA ANALYTICS &MANAGEMENT: AN INDO-EUROPEAN CONFERENCE (ICDAM-2021), Scopus and WoS Indexed Springer Series on Lecture Notes on Data Engineering and Communications Technologies,2021
4. Dr. B. Kiranmai, Dr. S.V. Vasantha “UNKNOWN ATTACK DETECTION IN CLOUD-BASED ON CORRELATION ANALYSIS”, INTERNATIONAL CONFERENCE ON DATA ANALYTICS & MANAGEMENT: AN INDO-EUROPEAN CONFERENCE (ICDAM-2021), Scopus and WoS Indexed Springer Series on Lecture Notes on Data Engineering and Communications Technologies,2021
5. Dr. S.V. Vasantha, Dr. A. Damodaram, Dr. S. Rama Krishna “PATH-HOP BASED SECURE AODV TO DETECT BLACK-HOLE AND GRAY-HOLE ATTACKS IN MANET”, Journal Of Critical Reviews – Scopus indexed Journal, Vol 7, Issue 18, 2020, pg. 1077-1093.
6. S.V. Vasantha, Dr. A. Damodaram “Invincible AODV to Detect Blackhole and Gray hole attacks in Mobile Adhoc Networks”, IJCS International Journal of Communication Systems – SCI indexed Journal, Wiley Online Library – 2018;31:e3518. https://doi.org/10.1002/dac.3518.
7. S.V. Vasantha, Dr. A. Damodaram “Bulwark AODV against Blackhole and Gray hole attacks in MANET”, 2015 IEEE International Conference on Computational Intelligence and Computing Research, pg. 259-263.

Patents Published:

1. DEEP LEARNING BASED INTRUSION DETECTION SYSTEM (DLIDS) FOR IOT NETWORKS IN SMART CITIES, Application No: 202141034640, Publication Date (U/S 11A): 13/08/2021.
2. A SYSTEM AND METHOD FOR CONTROLLING THE DEPLOYMENT OF IOT DEVICES OVER WIRELESS NETWORKS WITH AN ADAPTIVE GATEWAY, Application No: 202141043272, Publication Date (U/S 11A): 05/11/2021.

Research Projects Undertaken:

None

Books Published:

None