Professor Strang is a successful international entrepreneur and in parallel a globally-recognized scholar (semi-retired AACSB full professor) who teaches and researches in: business administration, economics-statistics (research methods), management, marketing-consumer behavior, human resource management, operations research, project management, organizational behavior, and supply chain management, plus he supervises doctoral students. Dr. Strang has over 40 years of industry career experience. He also has numerous academic scholarly publications including a best-selling research methods textbook, organizational analytics, learning styles/culture, clean energy hydro utilities, and he was a contributor to the ISO/Project Management Body of Knowledge. Ken has a doctorate in project management (operations research), an MBA (strategic management), a BSBA (marketing), an AS (information technology/programming) all education degrees with summa cum laude/honors. Dr. Strang is an internationally licensed Project Management Professional (PMI, USA), a Fellow Life Management Institute with distinction (LOMA, USA), a Certified Network Administrator (Novell, USA), a Certified Research Professional (IIPMR, USA), a Certified Supply Chain Specialist/Certified Procurement Professional (IIPMR, USA), and a World Medical Association research ethics and compliance scientist (Miami University, USA). Dr. Strang has lifetime grant-projects valued over $1 billion, he won many awards including a Behavior Energy Climate Change Fellowship from American Council Energy Efficient Economy (Stanford University, Alfred P. Sloan Foundation, and Morris Foundation), two Emerald Literati awards, the Duke of Edinborough community service medal, multiple teaching awards and several presidential citations. Ken is known for helping students and collaborating with the business communities, plus he mentors emerging researchers and Doctoral/Ph.D. students.
  • Doctorate in Project Management (Operations Research focus), High Distinction, RMIT, 2005 
  • Certified Supply Chain Specialist/Procurement Professional (license no. 98453), IIPMR, 2018
  • World Medical Association Research, Ethics, and Compliance (licenses no. 7620561, 8109898), Miami University, 2018
  • Certified Research Professional (license no. 73195), IIMPR, 2017
  • Project Management Professional™ (license no. 8196), PMI, 1996-present
  • MBA (Strategic Management focus), Summa Cum Laude, Birmingham Chadwick University, 1994 
  • BSBA (New Product Development focus), Summa Cum Laude, Birmingham Chadwick University, 1993 
  • AS (Programming Analysis & Design focus), Summa Cum Laude, Brunswick Community College, 1983 
  • Certified Netware Administrator, Novell, 1990
  • Fellow Life Management Institute (Distinction), LOMA, 1989

Big Data Analytics, Cybersecurity, Supply Chain Management/Logistics, Operations Research, Project Management, Leadership, Learning Styles/Culture, Human Resources, Consumer Behavior, Research Methods, Statistics, Machine Learning

  • Strang, K. D. (2023). How effective is business education in the workplace: Structural equation model of soft and hard skill competencies. Springer Nature Business and Economics Journal 3(28), doi:10.1007/s43546-022-00404-1 
  • Strang, K. D. (2023). Data envelopment analysis, advantages and problems demonstrated in a university comparison study, in Ajibesin, A. A., & Vajjhala, N. R. (eds.), Data Envelopment Analysis (DEA) Methods for Maximizing Efficiency. doi:10.4018/979-8-3693-0255-2. PA: IGI.
  • Strang, K. D. (2023). Development of a Post-Pandemic Socio-Cultural International Tourism Conceptual Model. In Management and Practices of Pilgrimage Tourism and Hospitality (pp. 207–218). IGI.
  • Strang, K. D. (2023). How Could Machine Learning Help Healthcare Informatics Predict Coronavirus? In N. R. Vajjhala & P. Eappen (Eds.), Health Informatics and Patient Safety in Times of Crisis, USA
  • Strang, K. D. (2023). An Empirical Illustration of How Socioeconomic Stakeholders Can Leverage AI and Big Data, in Sun, Z. (ed), Handbook of Research on Driving Socioeconomic Development with Big Data, (ch. 2), ISBN: 9781668459614, doi:10.4018/978-1-6684-5959-1.ch002 PA: IGI
  • Vajjhala, N. R. & Strang, K. D. (2023). Data-driven sustainability: Analyzing small and medium-sized enterprise growth in Albania. In 4th International Conference on The Role of Innovation, Entrepreneurship and Management for Sustainable Development (ICRIEMSD), November 3-4. E-ISBN: 978-81-935730-7-5. [Best paper award]. doi:10.17492/jpi.opjindal.231101
  • Strang, K. D., & Vajjhala, N. R. (2023). Why Cyberattacks Disrupt Society and How to Mitigate Risk. In Cybersecurity for Decision Makers, (pp. 1-18). FL: Routledge Taylor-Francis CRC. doi:10.1201/9781003319887-1 
  • 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 Management, 4(1), 40-63. doi:10.4018/IJCDLM.318120
  • Strang, K. D., & Vajjhala, N. R. (2023). Mining project failure factors from big data using machine learning. International Journal of Information Technology Project Management, 14(1), 1-24. doi:10.4018/IJITPM.317221
  • Vajjhala, N.R., Strang, K.D. (2023). Virus Symptoms Prediction: Role of Machine Learning in Supporting Healthcare Informatics. In: Kumar, S., Hiranwal, S., Purohit, S., Prasad, M. (eds) Proceedings of International Conference on Communication and Computational Technologies. Algorithms for Intelligent Systems. Singapore. doi:10.1007/978-981-99-3485-0_1
  • Vajjhala, N. R., & Strang, K. D. (Eds.). (2023). Cybersecurity for Decision Makers. (doi:10.1201/9781003319887) UK: Taylor & Francis ISBN 9781032334974
  • Sun, Z., Wu, Z., & Strang, K. D. (2023). Big Data-Driven Socioeconomic Development: An Interdisciplinary Approach in Handbook of Research on Driving Socioeconomic Development with Big Data (Ch. 1). PA: IGI. doi:10.4018/978-1-6684-5959-1.ch001
  • Vajjhala, N.R., & Strang, K.D. (2023). Analysis of University Engineering Program Skill Effectiveness in Research & Development Companies. 7th IEEE World Conference on Engineering Education. March 12-15, Bogota, Columbia. doi:10.1109/edunine57531.2023.10102861
  • Vajjhala, N.R., Strang, K.D. (2023). Finding Significant Project Issues with Machine Learning. In: Misra, R., Omer, R., Rajarajan, M., Veeravalli, B., Kesswani, N., Mishra, P. (eds) Machine Learning and Big Data Analytics. ICMLBDA 2022. Springer Proceedings in Mathematics & Statistics, vol 401. Springer, Cham. 
  • Strang, K. D. (2022). Resistance, diseconomies, and abnormal AI behavior in HRM: a real-time big data action research experiment at a pharmaceutical [artificial intelligence]. Human-Intelligent Systems Integration, doi:10.1007/s42454-42022-00046-42456