Rao Vajjhala, Narasimha

Rao Vajjhala, Narasimha

Email Degree Ph.D. (Information Systems and Technology), University of Phoenix, United States of America, 2013

Research Interests

  • Machine Learning
  • Healthcare Informatics
  • Cybersecurity
  • Technology Acceptance
  • Knowledge Sharing & Impact of Culture
  • Agricultural Information Systems
  • Project Management Research

Education

UNIVERSITY OF PHOENIX, Phoenix, Arizona, USA.
Doctorate in Information Systems and Technology, 2013

INSTITUT UNIVERSITAIRE KURT BÖSCH (IUKB), Sion, Switzerland
Master of Business Administration, Information Systems Management, 2009

OSMANIA UNIVERSITY, Hyderabad, India
Master of Computer Applications, 2001

UNIVERSITY OF LIVERPOOL, Liverpool, UK.
Postgraduate Certificate in Information Technology, 2013

ANDHRA UNIVERSITY, Visakhapatnam, India
Bachelor of Science, Computer Science, 1998

Research Profiles

Edited Books

Vajjhala, N.R., & Strang, K.D. (2025). Project Management for European, Asian and African Practitioners – Theory and Technique Examples in Selected Professions. Part of Information Systems Engineering and Management Series. Springer Cham, Switzerland. ISBN: 978-3-031-77805-6. Link: https://link.springer.com/book/9783031778056

Strang, K.D. & Vajjhala, N.R. (2025). International Program and Project Management – Best Practices in Selected Industries. Part of Information Systems Engineering and Management Series. Springer Cham, Switzerland. ISBN: 978-3-031-80274-4. Link: https://link.springer.com/book/9783031802744

Ajibesin, A.A. & Vajjhala, N.R. (2024). AI for Humanitarianism: Fostering Social Change Through Emerging Technologies. Volume in Chapman & Hall/CRC Artificial Intelligence and Robotics Series. CRC Press- Taylor & Francis. ISBN: 978-1-032-74839-9. Link: https://www.taylorfrancis.com/books/edit/10.1201/9781003479109/ai-humanitarianism-adeyemi-abel-ajibesin-narasimha-rao-vajjhala

Vajjhala, N.R. & Strang, K.D. (2023). Cybersecurity for Decision Makers. Routledge CRC Press – Taylor & Francis. Indexed in Scopus. ISBN 9781032334974. DOI: 10.1201/9781003319887. Link: https://www.routledge.com/Cybersecurity-for-Decision-Makers/Vajjhala-Strang/p/book/9781032334974

Journal Articles

Strang, K. D., & Vajjhala, N. R. (2024). Evaluating the Anti-Corruption Factor in Environmental, Social, and Governance Indices by Sampling Large Financial Asset Management Firms. Sustainability, 16(23), 10240. Indexed in Scopus. https://doi.org/10.3390/su162310240

Strang, K.D. & Vajjhala, N.R. (2024). Exploring Project Manager Commitment using Machine Learning on Fuzzy Big Data. International Journal of Project Organisation and Management. Volume 16, Issue To be Allocated. Indexed in Scopus. DOI: 10.1504/IJPOM.2025.10066556

Strang, K.D. & Vajjhala, N.R. (2024). Integrating Industry-crowdsourced Projects in University Capstone Courses: A Comparative Study using Parametric Statistics and Sentiment Analysis. Industry and Higher Education (Sage Journals). Volume 38, Issue 6, pp. 574-582. Impact Factor: 1.7 / 5-Year Impact Factor: 1.7. Indexed in Scopus and Clarivate Analytics: Emerging Sources Citation Index (ESCI). Link: https://doi.org/10.1177/09504222241249894

Vajjhala, N.R. & Strang, K.D. (2024). Profitability, Effectiveness, Operational Efficiency, and Market Growth of SMEs in Albania after Piloting Data Analytics. International Journal of Services and Standards. Volume 14, Issue 1, pp.51-64. Indexed in Scopus. Link: https://www.inderscienceonline.com/doi/abs/10.1504/IJSS.2024.140078

Muhammad, M.Y., Fonkam, M., Thandekkattu, S.G., Rakshit, S. & Vajjhala, N.R. (2023). Comparative Analysis of Bit-Parallel String Pattern Matching Algorithms for Biological Sequences. Operational Research in Engineering Sciences: Theory and Applications, Volume 6, Issue 1, pp. 322-331. Indexed in Scopus. Link: https://oresta.org/article-view/?id=554

Strang, K.D. & Vajjhala, N.R. (2023). Empirical Study of Exporting a University Curriculum: Is It Successful, Is It Profitable, and Is Student Learning Effective? International Journal of Curriculum Development and Learning Measurement (IJCDLM). 4(1). pp. 1-24. DOI: 10.4018/IJCDLM.318120. Link: https://www.igi-global.com/journal/international-journal-curriculum-development-learning/229386

Strang, K.D. & Vajjhala, N.R. (2023). Mining Project Failure Indicators from Big Data Using Machine Learning Mixed Methods. International Journal of Information Technology Project Management (IJITPM), 14(1), 1-24. DOI: