Amir Hamza Akash Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

University of Arkansas at Fayetteville

faculty

2 h-index 14 pubs 8 cited

Research Areas

Advanced Neural Network Applications Medical Imaging Techniques and Applications Machine Learning Applications in Healthcare Business Intelligence and Analytics Supply Chain Management and Optimization Healthcare Policy and Management Neurological disorders and treatments Cardiovascular Function and Risk Factors

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OverviewAI-generated summary

Amir Hamza Akash's research focuses on the application of artificial intelligence and machine learning techniques to address challenges in healthcare and business. His work includes developing AI-driven systems for disease detection and classification, such as using EMG signals for neuromuscular disease identification and ECG images for cardiovascular disease detection. Akash has also investigated the integration of AI, business intelligence, and machine learning for optimizing supply chains in the retail sector. His research extends to creating AI-powered systems for analyzing prescriptions and predicting adverse drug interactions. Additionally, his work explores business analytics for gas stations with convenience stores and the use of business intelligence in healthcare accounting to improve financial transparency and decision-making support. Akash has published 14 papers, with a total of 8 citations and an h-index of 2.

Metrics

  • h-index: 2
  • Publications: 14
  • Citations: 8

Selected Publications

  • Data-Driven Automation: How Robotics and BI Reshape Retail Supply Chains in the United States (2025) DOI
  • Navigating business intelligence: Analyzing and visualizing KPIs of U.S. gas stations with C-store by applying MIS, BI tools charts, graphs, interactive dashboards (2025) DOI
  • AI-Driven Next-Gen U.S. Retail: An Empirical Study on Optimizing Supply Chains by leveraging Artificial Intelligence, Business Intelligence, and Machine Learning. (2025) DOI
  • Decoding U.S. Retail Dynamics: A Holistic Strategic Analysis Using PESTEL and Porter’s Five Forces Frameworks (2025) DOI
  • AI-Driven Next-Gen U.S. Retail: An Empirical Study on Optimizing Supply Chains by leveraging Artificial Intelligence, Business Intelligence, and Machine Learning. (2025) DOI
  • Business Model Canvas: Business Analytics on Gas stations with C-stores in United States (2025) DOI

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