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Mrs. Roja D | Cyber Threat | Best Researcher Award

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 ProfileΒ 

Google Scholar

Educational Background πŸŽ“

  • Ph.D. (Pursuing) in Computer Science and Engineering
    The Glocal University (Deemed to be University), Saharanpur, Delhi

  • M.Tech in Computer Science and Engineering
    Chebrolu Engineering College, JNTUK, Kakinada – First Class with Distinction (July 2018)

  • B.Tech in Computer Science and Engineering
    PNC & Vijay Institute of Engineering and Technology, JNTUH, Hyderabad – First Class (May 2015)

Professional Experience πŸ’Ό

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 πŸ”¬

  • Cybersecurity and Intrusion Detection

  • Internet of Things (IoT)

  • Cloud and Distributed Computing

  • Blockchain Technology

  • Deep Learning and AI

  • Smart Agriculture and Yield Prediction Models

  • Learning Analytics

Awards and HonorsπŸ†βœ¨

  • Best Faculty Award – Chalapathi Institute of Technology (2023–2024)

  • Multiple Certificates of Appreciation from NPTEL (Evangelist, Mentor, Discipline, Believer Star)

  • Educator Mentor Award by AICTE Internship (EDUSKILLS)

  • Celonis Educator – EDUSKILLS

  • Ratified as Assistant Professor by JNTUK, Kakinada (2022)

Memberships

  • IAENG: 294814

  • IAAC: FRTJQC-CE000874

  • ISOC (Internet Society): 2249916

  • IFERP: PM51493806

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 πŸ“š

πŸ“š Credit Investigation and Comprehensive Risk Management System based on Big Data Analytics in Commercial Banking
πŸ‘₯ M. Venkateswara Rao, S.S. Vellela, V. Reddy, N. Vullam, K.B. Sk, D. Roja
πŸ“… 2023 | πŸ›οΈ 9th International Conference on Advanced Computing and Communication
πŸ”’ Cited by: 125


πŸ“š Multi-agent Personalized Recommendation System in E-commerce Based on User
πŸ‘₯ N. Vullam, S.S. Vellela, V. Reddy, M.V. Rao, K.B. Sk, D. Roja
πŸ“… 2023 | πŸ›οΈ 2nd International Conference on Applied Artificial Intelligence and Computing
πŸ”’ Cited by: 111


πŸ“š Prediction and Classification of Alzheimer’s Disease Using Machine Learning Techniques in 3D MR Images
πŸ‘₯ K.N. Rao, B.R. Gandhi, M.V. Rao, S. Javvadi, S.S. Vellela, S.K. Basha
πŸ“… 2023 | πŸ›οΈ International Conference on Sustainable Computing and Smart Systems
πŸ”’ Cited by: 96


πŸ“š Coronary Heart Disease Prediction and Classification Using Hybrid Machine Learning Algorithms
πŸ‘₯ K.B. Sk, D. Roja, S.S. Priya, L. Dalavi, S.S. Vellela, V. Reddy
πŸ“… 2023 | πŸ›οΈ International Conference on Innovative Data Communication Technologies
πŸ”’ Cited by: 79


πŸ“š Multi-Class Skin Diseases Classification with Color and Texture Features Using Convolution Neural Network
πŸ‘₯ S.S. Vellela, D. Roja, C. Sowjanya, K.B. Sk, L. Dalavai, K.K. Kumar
πŸ“… 2023 | πŸ›οΈ 6th International Conference on Contemporary Computing and Informatics
πŸ”’ Cited by: 70


πŸ“š Design and Implementation of an Integrated IoT Blockchain Framework for Drone Communication
πŸ‘₯ S.S. Priya, S.S. Vellela, V. Reddy, S. Javvadi, K.B. Sk, D. Roja
πŸ“… 2023 | πŸ›οΈ 3rd International Conference on Intelligent Technologies (CONIT)
πŸ”’ Cited by: 66


πŸ“š A Cloud-based Smart IoT Platform for Personalized Healthcare Data Gathering and Monitoring System
πŸ‘₯ S.S. Vellela, V.L. Reddy, D. Roja, G.R. Rao, K.B. Sk, K.K. Kumar
πŸ“… 2023 | πŸ›οΈ 3rd Asian Conference on Innovation in Technology (ASIANCON)
πŸ”’ Cited by: 63


πŸ“š An Enhancing Network Security: A Stacked Ensemble Intrusion Detection System for Effective Threat Mitigation
πŸ‘₯ N. Vullam, D. Roja, N.M. Rao, S.S. Vellela, L.R. Vuyyuru, K.K. Kumar
πŸ“… 2023 | πŸ›οΈ 3rd International Conference on Innovative Mechanisms for Industry Applications
πŸ”’ Cited by: 57


πŸ“š Cloud-hosted Concept-Hierarchy Flex-based Infringement Checking System
πŸ‘₯ S.S. Vellela, K. Basha Sk, K. Yakubreddy
πŸ“… 2023 | πŸ›οΈ International Advanced Research Journal in Science, Engineering and Technology
πŸ”’ Cited by: 56


πŸ“š Prediction and Analysis Using a Hybrid Model for Stock Market
πŸ‘₯ N. Vullam, K. Yakubreddy, S.S. Vellela, K.B. Sk, V. Reddy, S.S. Priya
πŸ“… 2023 | πŸ›οΈ 3rd International Conference on Intelligent Technologies (CONIT)
πŸ”’ Cited by: 53


Roja D | Cyber Threat | Best Researcher Award

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