Assistant Professor at Chalapathi Institute of Technology, India
Mrs. Dasthavejula Roja is an Assistant Professor in the Department of Computer Science and Engineering (Data Science) at Chalapathi Institute of Technology, Mothadaka, Andhra Pradesh, India. With over 5 years of academic experience, she is known for her commitment to excellence in teaching and mentoring, as well as her active participation in research and professional development. She is currently pursuing her Ph.D. in Computer Science and Engineering at The Glocal University, Saharanpur, Delhi.
Publication Profile
Google Scholar
Educational Background 🎓
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Ph.D. (Pursuing) in Computer Science and Engineering
The Glocal University (Deemed to be University), Saharanpur, Delhi
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M.Tech in Computer Science and Engineering
Chebrolu Engineering College, JNTUK, Kakinada – First Class with Distinction (July 2018)
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B.Tech in Computer Science and Engineering
PNC & Vijay Institute of Engineering and Technology, JNTUH, Hyderabad – First Class (May 2015)
Professional Experience 💼
Mrs. Dasthavejula Roja is currently serving as an Assistant Professor in the Department of Computer Science and Engineering (Data Science) at Chalapathi Institute of Technology, Mothadaka, since March 2021. In this role, she has been actively involved in teaching core subjects such as C Programming, Machine Learning, Cloud Computing, Blockchain Technology, Operating Systems, Software Project Management, and more. She has also contributed significantly to institutional development by coordinating and mentoring students during hackathons, and playing a key role as an NBA (National Board of Accreditation) member responsible for documentation and criteria fulfillment.
Prior to her current position, she worked as an Assistant Professor at PNC & Vijay Institute of Engineering and Technology (PNCVIET) from August 2018 to February 2021. During her tenure there, she contributed to undergraduate teaching, curriculum development, and student mentoring, establishing a strong foundation in technical education and pedagogy. With a cumulative teaching experience of over 5 years, she has demonstrated consistent dedication to academic excellence, innovation in teaching methodologies, and active participation in co-curricular initiatives.
Research Interests 🔬
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Cybersecurity and Intrusion Detection
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Internet of Things (IoT)
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Cloud and Distributed Computing
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Blockchain Technology
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Deep Learning and AI
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Smart Agriculture and Yield Prediction Models
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Learning Analytics
Awards and Honors🏆✨
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Best Faculty Award – Chalapathi Institute of Technology (2023–2024)
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Multiple Certificates of Appreciation from NPTEL (Evangelist, Mentor, Discipline, Believer Star)
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Educator Mentor Award by AICTE Internship (EDUSKILLS)
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Celonis Educator – EDUSKILLS
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Ratified as Assistant Professor by JNTUK, Kakinada (2022)
Memberships
Conclusion🌟
Mrs. Dasthavejula Roja is a dedicated and forward-thinking academician with a passion for research, innovation, and continuous learning. Her involvement in high-impact research, extensive NPTEL certifications, and accolades from national organizations reflect her dynamic engagement in both teaching and professional development. She aims to contribute significantly to the fields of data science, cybersecurity, and smart agriculture through academic research and collaborative initiatives.
Publications 📚
📚 Credit Investigation and Comprehensive Risk Management System based on Big Data Analytics in Commercial Banking
👥 M. Venkateswara Rao, S.S. Vellela, V. Reddy, N. Vullam, K.B. Sk, D. Roja
📅 2023 | 🏛️ 9th International Conference on Advanced Computing and Communication
🔢 Cited by: 125
📚 Multi-agent Personalized Recommendation System in E-commerce Based on User
👥 N. Vullam, S.S. Vellela, V. Reddy, M.V. Rao, K.B. Sk, D. Roja
📅 2023 | 🏛️ 2nd International Conference on Applied Artificial Intelligence and Computing
🔢 Cited by: 111
📚 Prediction and Classification of Alzheimer’s Disease Using Machine Learning Techniques in 3D MR Images
👥 K.N. Rao, B.R. Gandhi, M.V. Rao, S. Javvadi, S.S. Vellela, S.K. Basha
📅 2023 | 🏛️ International Conference on Sustainable Computing and Smart Systems
🔢 Cited by: 96
📚 Coronary Heart Disease Prediction and Classification Using Hybrid Machine Learning Algorithms
👥 K.B. Sk, D. Roja, S.S. Priya, L. Dalavi, S.S. Vellela, V. Reddy
📅 2023 | 🏛️ International Conference on Innovative Data Communication Technologies
🔢 Cited by: 79
📚 Multi-Class Skin Diseases Classification with Color and Texture Features Using Convolution Neural Network
👥 S.S. Vellela, D. Roja, C. Sowjanya, K.B. Sk, L. Dalavai, K.K. Kumar
📅 2023 | 🏛️ 6th International Conference on Contemporary Computing and Informatics
🔢 Cited by: 70
📚 Design and Implementation of an Integrated IoT Blockchain Framework for Drone Communication
👥 S.S. Priya, S.S. Vellela, V. Reddy, S. Javvadi, K.B. Sk, D. Roja
📅 2023 | 🏛️ 3rd International Conference on Intelligent Technologies (CONIT)
🔢 Cited by: 66
📚 A Cloud-based Smart IoT Platform for Personalized Healthcare Data Gathering and Monitoring System
👥 S.S. Vellela, V.L. Reddy, D. Roja, G.R. Rao, K.B. Sk, K.K. Kumar
📅 2023 | 🏛️ 3rd Asian Conference on Innovation in Technology (ASIANCON)
🔢 Cited by: 63
📚 An Enhancing Network Security: A Stacked Ensemble Intrusion Detection System for Effective Threat Mitigation
👥 N. Vullam, D. Roja, N.M. Rao, S.S. Vellela, L.R. Vuyyuru, K.K. Kumar
📅 2023 | 🏛️ 3rd International Conference on Innovative Mechanisms for Industry Applications
🔢 Cited by: 57
📚 Cloud-hosted Concept-Hierarchy Flex-based Infringement Checking System
👥 S.S. Vellela, K. Basha Sk, K. Yakubreddy
📅 2023 | 🏛️ International Advanced Research Journal in Science, Engineering and Technology
🔢 Cited by: 56
📚 Prediction and Analysis Using a Hybrid Model for Stock Market
👥 N. Vullam, K. Yakubreddy, S.S. Vellela, K.B. Sk, V. Reddy, S.S. Priya
📅 2023 | 🏛️ 3rd International Conference on Intelligent Technologies (CONIT)
🔢 Cited by: 53