Faculty
Faculty List
Ms. G. Pravallika
M.Tech
Assistant Professor
IE&CT
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Educational
Qualifications
- M.Tech in
Computer Science & Engineering – JNTU-GV College of Engineering,
Vizianagaram, Jawaharlal Nehru Technological University – Gurajada
(2024–2026), CGPA: 7.7.
- B.Tech in
Computer Science & Engineering – JNTU-GV College of Engineering,
Vizianagaram, Jawaharlal Nehru Technological University – Gurajada
(2019–2023), CGPA: 7.5.
- Intermediate
(MPC)
– Narayana Junior College, Board of Intermediate Education, Andhra Pradesh
(2017–2019), CGPA: 9.7.
- SSC – Z.P.H.S,
Kondapalem, Board of Secondary Education, Andhra Pradesh (2016–2017),
CGPA: 9.0.
Internship Experience
- Completed a Java
Internship at Suven Consultants and Technology Pvt. Ltd., where
applications such as Consumer Loan Assistant and Home Inventory Manager
were developed using Java technologies. Gained practical exposure to
Object-Oriented Programming, exception handling, file handling, and
software development practices.
Academic Projects (B.tech)
- Comparative
Detection of DDoS Attacks Using Deep Learning Techniques: Designed a
system to detect Distributed Denial of Service (DDoS) attacks in IoT
environments using deep learning models for improved network security and
attack detection accuracy.
Academic Projects (M.tech)
- Automated
Pollen Grain Classification Using Deep Learning for Allergy Risk
Prediction:
Developed a deep learning-based system using the POLLEN73S dataset and
transfer learning models such as ResNet and DenseNet for automated pollen
classification. Integrated Explainable AI techniques (Grad-CAM) to enhance
model interpretability and support allergy risk analysis.
Technical Skills
- Programming
Languages: C, Java, Python
- Operating
Systems: Windows, Linux
- Web
Technologies: HTML, CSS, JavaScript
- Databases:
MySQL (Basic), JDBC
- Data
Structures & Algorithms
- Linux
Commands: ls, cd,
pwd, mkdir, cp, mv,
rm, chmod, ps, top, kill
Areas of Interest
- Computer
Networks & Security
- Machine
Learning & Deep Learning
- Internet of
Things (IoT)
- Data
Structures and Algorithms
- Programming
Languages
- Artificial Intelligence
Ms. G. Pravallika
M.Tech
Assistant Professor
IE&CT
Educational
Qualifications
- M.Tech in
Computer Science & Engineering – JNTU-GV College of Engineering,
Vizianagaram, Jawaharlal Nehru Technological University – Gurajada
(2024–2026), CGPA: 7.7.
- B.Tech in
Computer Science & Engineering – JNTU-GV College of Engineering,
Vizianagaram, Jawaharlal Nehru Technological University – Gurajada
(2019–2023), CGPA: 7.5.
- Intermediate
(MPC)
– Narayana Junior College, Board of Intermediate Education, Andhra Pradesh
(2017–2019), CGPA: 9.7.
- SSC – Z.P.H.S,
Kondapalem, Board of Secondary Education, Andhra Pradesh (2016–2017),
CGPA: 9.0.
Internship Experience
- Completed a Java
Internship at Suven Consultants and Technology Pvt. Ltd., where
applications such as Consumer Loan Assistant and Home Inventory Manager
were developed using Java technologies. Gained practical exposure to
Object-Oriented Programming, exception handling, file handling, and
software development practices.
Academic Projects (B.tech)
- Comparative
Detection of DDoS Attacks Using Deep Learning Techniques: Designed a
system to detect Distributed Denial of Service (DDoS) attacks in IoT
environments using deep learning models for improved network security and
attack detection accuracy.
Academic Projects (M.tech)
- Automated
Pollen Grain Classification Using Deep Learning for Allergy Risk
Prediction:
Developed a deep learning-based system using the POLLEN73S dataset and
transfer learning models such as ResNet and DenseNet for automated pollen
classification. Integrated Explainable AI techniques (Grad-CAM) to enhance
model interpretability and support allergy risk analysis.
Technical Skills
- Programming
Languages: C, Java, Python
- Operating
Systems: Windows, Linux
- Web
Technologies: HTML, CSS, JavaScript
- Databases:
MySQL (Basic), JDBC
- Data
Structures & Algorithms
- Linux
Commands: ls, cd,
pwd, mkdir, cp, mv,
rm, chmod, ps, top, kill
Areas of Interest
- Computer
Networks & Security
- Machine
Learning & Deep Learning
- Internet of
Things (IoT)
- Data
Structures and Algorithms
- Programming
Languages
- Artificial Intelligence