Janmejaya Mishra | Cybersecurity | Best Researcher Award

Mr. Janmejaya Mishra | Cybersecurity | Best Researcher Award

Capella University | United States

Mr. Janmejaya Mishra is a Principal Engineer with extensive expertise in developing and architecting high-performance web applications, combining strong academic foundations with professional excellence. He holds a Master of Science in Information Assurance and Cybersecurity from Capella University, graduating with distinction, and is currently pursuing a Doctor of Information Technology at the same institution. His career spans leadership in building scalable, secure, and high-traffic systems across education, telecom, healthcare, and finance sectors, with a specialization in Drupal, PHP, JavaScript, MySQL, and modern frameworks. He has delivered numerous Drupal projects from concept to production while ensuring cloud performance and application security through platforms such as Cloudflare, Splunk, and New Relic. A certified AWS Solutions Architect, Scrum Master, and Acquia Drupal Developer, he has earned recognition for advancing enterprise solutions and implementing innovative frameworks. His blend of research, technical mastery, and practical contributions positions him as an influential leader in cybersecurity and software engineering.

Profile: Scopus | Orcid

Featured Publications

1. Mohapatra, K., Mishra, J., Pattanaik, S. R., Pati, A., Panigrahi, A., & Sahu, B. (2025). EFSMLHA: Ensembled feature selected machine learning hybrid approaches for heart disease prediction. 2025 International Conference in Advances in Power Signal and Information Technology (APSIT 2025). IEEE.

2. Mishra, J., Biswal, B. B., & Padhy, N. (2025). Machine learning for fraud detection in banking cyber security: Performance evaluation of classifiers and their real-time scalability. 2025 5th International Conference on Emerging Systems and Intelligent Computing (ESIC 2025) Proceedings. IEEE.

3. Sahu, B., Mishra, J., Parveen, S., Das, B., Panigrahi, A., & Pati, A. (2025). STIR-MO: An enhanced hybrid cancer predictive model. 2025 3rd International Conference on Intelligent and Cloud Computing (ICoICC 2025). IEEE.