About myself

Palabindela Swetha is a dedicated and result-oriented academician with several years of experience as an Assistant Professor in reputed engineering institutions. She has strong expertise in C Programming, Data Structures, Python, and Data Visualization, along with solid technical skills in operating systems and system administration. She actively contributes to research in Machine Learning, Deep Learning, and Data Mining, with publications, conference presentations, and a patented innovation to her credit. She is an enthusiastic team member and mentor who strives to contribute effectively to academic excellence and institutional growth.

☎ Contact Details
Ms PALABINDELA SWETHA
Assistant Professor
Department of Artificial Intelligence and Machine Learning
Gokaraju Rangaraju Institute of Engineering and Technology
Bachupally, Hyderabad-500090
TELANGANA
E-Mail: palabindelaswetha@gmail.com
JNTU-H ID: 9195-160223-151511
Mobile: +91-9441771290

      Curriculam Vitae

Educational Details

1. M.Tech (Computer Science Engineering), Padmasri Dr. B V Raju Institute of Technology, Narsapur, 2014, 77.56%
2. B.Tech (Information Technology), Jayamukhi Institute of Technological Sciences, Warangal, 2011, 63.58%

Professional Background

1. Assistant Professor in VNR Vignana Jyothi Institute of Engineering and Technology, Bachupally from March 4th, 2023 to Jan 2nd, 2026.
2. Assistant Professor in CMR College of Engineering & Technology, Medchal from 2016 to 2018.
3. Assistant Professor in BVRIT Women’s College, Hyderabad from 2015 to 2016.

Administrative Experience

1. AAC Coordinator.
2. Budget Co-Coordinator.
3. Lab In-Charge.
4. Involved in Admissions Work.
5. Mentor for Students.
6. Involved in NAAC and NBA Files.
7. SPoC for Department Systems Data (CNCC).

Courses Taught

1. C Programming.
2. Data Structures.
3. Python Programming.
4. IT Workshop.
5. Data Visualization.

PUBLICATIONS

1. “Custom Aggregations for Generating Datasets for Data Mining” published in International Journal of Advanced Research in Computer and Communication Engineering, Vol. 2, Issue 9, September 2013.
2. “A Demonstration of an Efficient Algorithm in Intrusion Detection System Using Wireshark” published in International Journal of New Era in Computer Science and Engineering, Vol. 1, Issue 1, January 2017.
3. Indexed one conference paper in Scopus: “Immense Quality Thermal Image Analysis by ResNet and Deep Learning Techniques.”
4. Presented conference paper: “A Federated Multi-Modal Framework for Privacy-Preserving Prediction of Post-Surgical Complications,” 20–22 August 2025.
5. Presented conference paper: “Optimized Predictive Modeling of Diabetes Progression Using Random Forest and Recursive Feature Elimination,” 19–21 November 2025.
6. Presented conference paper: “Advanced Segmentation Models for Identifying Genetic Disorders in Facial Phenotypes Using Deep Learning and U-Net++ Architecture,” 8–10 October 2025.
7. Patent: “A Smart Hospital Supply Chain Management System Utilizing IoT and Big Data for Predictive Maintenance of Critical Equipment,” December 2024.

COURSE (WORKSHOP/FDP) ATTENDED

Professional work

CERTIFICATIONS