Professor |
Teaching Experience: 17 yrs
SVCEW Emp ID: 543
AICTE Unique ID: 1-2196141674
- Data Analytics,
- Machine Learning,
- Deep Learning
| Degree | Organization/Institution | Specialization | Year of Passing |
| Ph.D. | Andhra University College of engineering | CSE | 2022 |
| M.Tech | Hindustan college of engineering | CSE | 2007 |
| B.Tech | Sir.C R R College of Engineering | IT | 2005 |
- CSI, IE
Publications in National/International Journals:
- A Comprehensive Review of Subspace Clustering in the Analysis of Big Data, International Journal of Engineering Trends and Technology (IJETT) – Volume 39 Number 3- September 2016, ISSN: 2231-5381,pp.135-142
- N-Way Segment Hashing for Scalable Subspace Clustering Accession in Big Data, International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-8, Issue- 6S4, April 2019,pp. 1560-1565
- A Novel Scalable Signature Based Subspace Clustering Approach for Big Data, International Journal of Information Technology and Web Engineering (IJITWE) , Volume-14, Issue-2, April 2019,pp. 41-51
- Oppositional Cuckoo Search Optimization based Clustering with Classification Model for Big Data Analytics in Healthcare Environment, Journal of Applied Science and Engineering, Vol. 25, No 4, Sep 2021,PP 843-851
Journal Publications in National/International Conferences
- A Novel Cuckoo Search with Levy Distribution-Optimized Density-Based Clustering Model on MapReduce for Big Data Environment, Sixth International Conference on Microelectronics, Electromagnetics and Telecommunications (ICMEET 2021), Volume 2, March 2022, PP 371-381
- A Prediction of breast cancer based on Mayfly Optimized CNN, 2022 International Conference on Computing, Communication and Power Technology (IC3P),January 2022,PP- 176-180
- Machine Learning Technique with Spider Monkey Optimization for COVID-19 Sentiment Analysis, 2022 International Conference on Computing, Communication and Power Technology (IC3P),January 2022,PP- 303-307.
- Clustering Based Hybrid Optimized Model for Effective Data Transmission, International Conference on Cognitive Computing and Cyber Physical Systems, Volume 537,January 2024, PP.338-351.
- Segmentation and Classification of Lung Tumor Analysis using LU-Net with BBH Optimizer, 14th International Conference on Cloud Computing, Data Science & Engineering (Confluence),January 2024,PP.834-839.
- Advanced NID-VGG16 with Orca Predation Optimization based 1DCNN-BiLSTM for Network Intrusion Detection, 14th International Conference on Cloud Computing, Data Science & Engineering (Confluence),January 2024,PP.840-845.
- Attended Faculty Development Program on NLP, Computer Vision and Artificial Intelligence organized by Andhra Pradesh State Skill Development Corporation (APSSDC) in Collaboration with ExcelR Edtech Pvt. Ltd. Date: 4 th Dec to 8 th Dec 2023.
- Attended Faculty Development Program ( FDP) on Future Trends & Advances in Emerging Technologies organized by School of Computer Applications held from 5th to 9th December 2023.
- Attended Faculty Development Program ( FDP) on “ Recent Trends in CSE Phase – II ” organized by Department of Computer Science & Engineering From 08-03-2021 to 13-03-2021 at St. Mary’s Women’s Engineering College, Andhra Pradesh
- Attended Two Weeks International Faculty Development Program on Big Data Analytics organized by the Department of Information Technology, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad in collaboration with ExcelR Edtech Pvt. Ltd. Duration: 04th Dec to 15 th Dec 2023.
- Attended Faculty Development Program ( FDP) on Deep Learning and Artificial Intelligence organized by Andhra Pradesh State Skill Development Corporation (APSSDC) in Collaboration with ExcelR Edtech Pvt. Ltd. Date: 26th Feb to 1st March 2024.
- Acted as a Reviewer for International Conference On Social And Sustainable Innovations In Technology And Engineering SASI-ITE-2024, Organized by SITE, Tadepalligudem.
- Acted as a Reviewer for International Conference on Sustainable Advanced Computing(ICSAC-2024) organized by CHRIST (Deemed to be university), Banglore.
- NACC Criteria1 coordinator, Department library coordinator, Department level CAC, prathibha magazine, VishnuEra coordinator
UG Level:
- FLAT/TOC, CD, CN, OS, DBMS, DWDM, COA, NN, SPM, SE, DS with R, Big Data, Cloud computing
PG Level:
- DBMS, DWDM, COA, Big Data, Cloud computing
The recent publications and research contributions can be viewed from the following URLs:
| Profile | Link |
| Google Scholar | https://scholar.google.com/citations?view_op=list_works&hl=en&hl=en&user=HabNe7sAAAAJ |
| Vidwan | https://svecw.irins.org/profile/148184 |
| Research Gate | https://www.researchgate.net/profile/Tata-Gayathri |
| ORCID | https://orcid.org/0000-0003-1703-6432 |
| Scopus | https://www.scopus.com/authid/detail.uri?authorId=57210696216 |
