Mrs. Manjula Mandava, VIT-A.P University Amaravati, India
👩💼 Mrs. Manjula Mandava, M.Tech, is an Assistant Professor at Dhanekula Institute of Engineering and Technology, specializing in Computer Science and Engineering (CSE). With 2.5 years of prior teaching experience, she brings expertise in C, Java programming, and SQL databases. Her M.Tech project delved into “Compression Techniques in Matrix and Graph Computations on MapReduce Framework,” and she contributed to “Multiparty Access Control for Online Social Networks Models.” Mrs. Mandava has showcased academic prowess through paper presentations, workshops on Big Data, and winning prizes in essay writing competitions. She actively engages in NSS camps and holds certifications in Machine Learning, Digital Teaching Techniques, and Data Science. 🚀🏆📚
Professional Profile:
Scopus
Orcid
🎓 Education Qualification:
Mrs. Mandava holds an M.Tech degree and has pursued various technical certifications and training programs.
👩💼 Experience:
With over 2.5 years of teaching experience, Mrs. Mandava currently serves as an Assistant Professor in the Department of CSE at Dhanekula Institute of Engineering and Technology. She has also previously worked as a Class In-charge and taught subjects like Programming in ‘C’, Data Structures, Database Management Systems, Information Security, and Web Technologies.
💻 Technical Skills:
Mrs. Mandava is proficient in programming languages such as C and Java, and is familiar with operating systems like Windows XP, 7, 8, and 10. She also has knowledge of SQL databases.
🏆 Academic Achievements:
Mrs. Mandava has presented papers on Data Mining and attended workshops on Big Data. She has won prizes for essay writing and actively participated in NSS camps.
📚 Certifications and Training:
Mrs. Mandava has completed a Faculty Development Program on Data Science & Cloud Computing, received NPTEL Mentor Certification in Database Management Systems, undergone training in Machine Learning with TATA STEEL LEARNING, and acquired digital teaching techniques through ICT ACADEMY. Additionally, she has completed the course “What is Data Science” offered by COURSERA IBM.
Scopus Metrics:
- 📝 Publications: 16 documents indexed in Scopus.
- 📊 Citations: A total of 18 citations for his publications, reflecting the widespread impact and recognition of Mrs. Manjula Mandava’s research within the academic community.
Publications Top Notes :
- Identification and Categorization of Yellow Rust Infection in Wheat through Deep Learning Techniques
- Published in EAI Endorsed Transactions on Internet of Things in 2024.
- Cited by 7 articles.
- Leveraging Machine Learning Techniques for Improving Heart Disease Prediction Systems Using Feature Selection
- Published in International Journal of Intelligent Systems and Applications in Engineering in 2023.
- Identification of Significant Clinical Attributes for Developing Heart Disease Prediction System
- Published in International Journal of Intelligent Systems and Applications in Engineering in 2023.
- Energy Management and Network Traffic Avoidance Using GAODM and E-AODV Protocols in Mobile Ad-Hoc Network
- Published in International Journal of Computer Network and Information Security in 2023.
- An All-Inclusive Machine Learning and Deep Learning Method for Forecasting Cardiovascular Disease in Bangladeshi Population
- Published in EAI Endorsed Transactions on Pervasive Health and Technology in 2023.