Krishna Murthy Inumula

Designation: Professor

Academic Area: Quantitative Techniques, Operations & Project Management, Research Methodology, Econometrics, Business Data Analytics

Brief Profile:

Dr. Krishna Murthy Inumula is a dynamic and resourceful academician with over two decades of teaching and research experience in statistics, operations research, project management, econometrics, and business analytics. He has served in reputed institutions such as Symbiosis Institute of International Business (SIIB), University of Petroleum & Energy Studies (UPES), and ISB&M, Pune.

His teaching philosophy integrates research, analytics, and industry practices to enhance students’ cognitive and professional growth. With strong expertise in SPSS, SAS, Minitab, and econometric software, Dr. Inumula has mentored numerous Ph.D., MBA, and M.Tech students in research projects, dissertations, and corporate assignments.


M.Sc (Statistics), UGC-NET, Project Certified, M.Phil, Ph.D

20 +Years

Symbiosis Institute of International Business (SIIB), University of Petroleum & Energy Studies (UPES), and ISB&M, Pune.

Berlin School of Economics and Law (HWR), Berlin (Germany), fellowship programme from October 09 – 19, 2022, in the framework of the DAAD (German Academic Exchange Service).

Best Research paper awards in international conferences.

  • Applied Statistics & Econometrics
  • Business Analytics & Machine Learning
  • Project & Operations Management
  • Consumer Behavior & Market Research
  • Energy, Transport & Environmental Economics

  • The Role of Sustainability in Shaping Customer Perceptions at Farmers’ Markets: A Quantitative Analysis, Sustainability (MDPI), 2025.
  • Advancing Machine Learning and Deep Learning Techniques for Predictive Analytics in Cyber Security and Data Science Applications, JISEM, 2025.
  • Mitigating Environmental Impacts Through Modal Shifts: A Life Cycle Assessment of India’s Freight Transport Infrastructure, IJTDI, 2025.
  • Climate-resilient Transportation Policies for India: Strategies and Challenges, JIPD, 2024.
  • Enhancing Employee Well-being with Machine Learning: Predictive Models for Health and Wellness Programs, JIER, 2024.

Author of 45+ publications in various journals including Scopus, Web of Science, and ABDC.

Market Research and Predictive Modelling

  • Conducted Corporate Trainings & MDPs for ISB&M, UPES, Gujarat Maritime Board, Indian Oil Corporation, and Petro Bangla (Bangladesh Petroleum Company).
  • Delivered Faculty Development Programmes (FDPs) on project management, analytics, and data science across leading universities.

Professional Memberships & Editorial Work

  • Member, International Association of Academicians and Researchers (INAAR)
  • Member, International Advisory Board, IRAJ Research Forum
  • Editorial Board: International Journal of Management and Applied Science (IJMAS)
  • Editor-in-Chief: Proceedings of 24th IRF International Conference