LabCompass

Vishwanadham Mandala

Business, Management and Accounting · Indiana University

OpenAlex ORCID
Big Data and Business IntelligenceDigital Transformation in IndustryHydrology and Watershed Management StudiesData Quality and ManagementBlockchain Technology Applications and Security

Publications

69

Citations

709

Est. group size

—

Recurring co-author estimate

Active years

9

Publishing since 2018

Research summary
AI-generated

Vishwanadham Mandala conducts research on applying artificial intelligence, machine learning, and big data analytics to a wide range of practical problems in business and engineering. Recent work spans supply chain optimization, retail demand forecasting, cloud data architectures, and applications in areas such as groundwater prediction and healthcare diagnostics. The research emphasizes building frameworks that combine techniques like deep learning, reinforcement learning, and generative AI with large-scale data systems.

Big Data analytics and business intelligenceMachine learning and deep learning applicationsData engineering and cloud-native architecturesAI for supply chain and retail optimizationDigital transformation across industries

Publication activity grew markedly over the last decade, rising from a few papers per year through 2021 to a peak of 26 in 2024, with a high recent output averaging about 12.8 per year.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 12.8/year recently
172018: 2 publications182019: 2 publications192020: 1 publication20212022: 4 publications222023: 11 publications232024: 26 publications26242025: 18 publications252026: 5 publications26
Recent publications
Publishes in
  • SSRN Electronic Journal×10
  • International Journal of Science and Research (IJSR)×7
  • Global research and development journal for engineering.×4
  • Journal of Artificial Intelligence and Big Data×3
  • Measurement Sensors×2

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

Claim or correct this profile