A
Amir Hamza Akash Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
faculty
2 h-index
14 pubs
8 cited
Research Areas
Biography and Research Information
OverviewAI-generated summary
Amir Hamza Akash's research focuses on the application of artificial intelligence (AI) and machine learning (ML) across various domains. His work includes developing ML-based systems for detecting and classifying neuromuscular diseases using EMG signals and identifying cardiovascular disease from ECG images through optimized ensemble ML techniques. Akash also investigates the integration of AI, business intelligence, and ML to optimize supply chains in the U.S. retail sector. His research extends to business analytics for gas stations with convenience stores and the use of BI in healthcare accounting for enhanced financial transparency. Additionally, he has explored AI-powered systems for smart prescription analysis and predicting adverse drug interactions, as well as the future trends of ML in information technologies.
Metrics
- h-index: 2
- Publications: 14
- Citations: 8
Selected Publications
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Data-Driven Automation: How Robotics and BI Reshape Retail Supply Chains in the United States (2025)
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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)
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AI-Driven Next-Gen U.S. Retail: An Empirical Study on Optimizing Supply Chains by leveraging Artificial Intelligence, Business Intelligence, and Machine Learning. (2025)
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Decoding U.S. Retail Dynamics: A Holistic Strategic Analysis Using PESTEL and Porter’s Five Forces Frameworks (2025)
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AI-Driven Next-Gen U.S. Retail: An Empirical Study on Optimizing Supply Chains by leveraging Artificial Intelligence, Business Intelligence, and Machine Learning. (2025)
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Business Model Canvas: Business Analytics on Gas stations with C-stores in United States (2025)
Collaboration Network
Top Collaborators
Kazi Obaidur Rahman
7 shared publications
- Business Model Canvas: Business Analytics on Gas stations with C-stores in United States
- AI-Driven Next-Gen U.S. Retail: An Empirical Study on Optimizing Supply Chains by leveraging Artificial Intelligence, Business Intelligence, and Machine Learning.
- AI-Driven Next-Gen U.S. Retail: An Empirical Study on Optimizing Supply Chains by leveraging Artificial Intelligence, Business Intelligence, and Machine Learning.
- Decoding U.S. Retail Dynamics: A Holistic Strategic Analysis Using PESTEL and Porter’s Five Forces Frameworks
- Navigating business intelligence: Analyzing and visualizing KPIs of U.S. gas stations with C-store by applying MIS, BI tools charts, graphs, interactive dashboards
Showing 5 of 7 shared publications
Farhan Nasrullah
7 shared publications
- Business Model Canvas: Business Analytics on Gas stations with C-stores in United States
- AI-Driven Next-Gen U.S. Retail: An Empirical Study on Optimizing Supply Chains by leveraging Artificial Intelligence, Business Intelligence, and Machine Learning.
- AI-Driven Next-Gen U.S. Retail: An Empirical Study on Optimizing Supply Chains by leveraging Artificial Intelligence, Business Intelligence, and Machine Learning.
- Decoding U.S. Retail Dynamics: A Holistic Strategic Analysis Using PESTEL and Porter’s Five Forces Frameworks
- Navigating business intelligence: Analyzing and visualizing KPIs of U.S. gas stations with C-store by applying MIS, BI tools charts, graphs, interactive dashboards
Showing 5 of 7 shared publications
Achhia Khanam
7 shared publications
- Business Model Canvas: Business Analytics on Gas stations with C-stores in United States
- AI-Driven Next-Gen U.S. Retail: An Empirical Study on Optimizing Supply Chains by leveraging Artificial Intelligence, Business Intelligence, and Machine Learning.
- AI-Driven Next-Gen U.S. Retail: An Empirical Study on Optimizing Supply Chains by leveraging Artificial Intelligence, Business Intelligence, and Machine Learning.
- Decoding U.S. Retail Dynamics: A Holistic Strategic Analysis Using PESTEL and Porter’s Five Forces Frameworks
- Navigating business intelligence: Analyzing and visualizing KPIs of U.S. gas stations with C-store by applying MIS, BI tools charts, graphs, interactive dashboards
Showing 5 of 7 shared publications
Rezwanul Islam Rezvi
DeVry University (US)
4 shared publications
- Business Model Canvas: Business Analytics on Gas stations with C-stores in United States
- AI-Driven Next-Gen U.S. Retail: An Empirical Study on Optimizing Supply Chains by leveraging Artificial Intelligence, Business Intelligence, and Machine Learning.
- AI-Driven Next-Gen U.S. Retail: An Empirical Study on Optimizing Supply Chains by leveraging Artificial Intelligence, Business Intelligence, and Machine Learning.
- Decoding U.S. Retail Dynamics: A Holistic Strategic Analysis Using PESTEL and Porter’s Five Forces Frameworks
Nazrul Islam
American Jewish University (US)
3 shared publications
- Business Model Canvas: Business Analytics on Gas stations with C-stores in United States
- AI-Driven Next-Gen U.S. Retail: An Empirical Study on Optimizing Supply Chains by leveraging Artificial Intelligence, Business Intelligence, and Machine Learning.
- AI-Driven Next-Gen U.S. Retail: An Empirical Study on Optimizing Supply Chains by leveraging Artificial Intelligence, Business Intelligence, and Machine Learning.
Mehedi Hasan
American International University-Bangladesh (BD)
3 shared publications
- Business Model Canvas: Business Analytics on Gas stations with C-stores in United States
- AI-Driven Next-Gen U.S. Retail: An Empirical Study on Optimizing Supply Chains by leveraging Artificial Intelligence, Business Intelligence, and Machine Learning.
- AI-Driven Next-Gen U.S. Retail: An Empirical Study on Optimizing Supply Chains by leveraging Artificial Intelligence, Business Intelligence, and Machine Learning.
Shamina Sharmin Jishan
National University Bangladesh (BD)
3 shared publications
- AI-Driven Next-Gen U.S. Retail: An Empirical Study on Optimizing Supply Chains by leveraging Artificial Intelligence, Business Intelligence, and Machine Learning.
- AI-Driven Next-Gen U.S. Retail: An Empirical Study on Optimizing Supply Chains by leveraging Artificial Intelligence, Business Intelligence, and Machine Learning.
- Decoding U.S. Retail Dynamics: A Holistic Strategic Analysis Using PESTEL and Porter’s Five Forces Frameworks
Mehedi Hasan
American International University-Bangladesh (BD)
2 shared publications
- Navigating business intelligence: Analyzing and visualizing KPIs of U.S. gas stations with C-store by applying MIS, BI tools charts, graphs, interactive dashboards
- Data-Driven Automation: How Robotics and BI Reshape Retail Supply Chains in the United States
Sajib Aninda Dhar
2 shared publications
- Data-Driven Automation: How Robotics and BI Reshape Retail Supply Chains in the United States
- BI-Driven Accounting Analytics in U.S. Healthcare: Enhancing Financial Transparency and Decision-making Support.
Md Khan
2 shared publications
- Data-Driven Automation: How Robotics and BI Reshape Retail Supply Chains in the United States
- BI-Driven Accounting Analytics in U.S. Healthcare: Enhancing Financial Transparency and Decision-making Support.
R Abinaya
1 shared publication
- Bigdata Analytics In Healthcare For Heart Disease Prediction Using Machine Learning
M Maruthupandian
1 shared publication
- Bigdata Analytics In Healthcare For Heart Disease Prediction Using Machine Learning
J Nazih
1 shared publication
- Bigdata Analytics In Healthcare For Heart Disease Prediction Using Machine Learning
Md. Nahid Hasan
University of Rajshahi (BD)
1 shared publication
- Detection of Cardiovascular Disease from ECG Image Using Optimized Weighted Average Ensemble Machine Learning Technique
Md. Ali Hossain
University of Rajshahi (BD)
1 shared publication
- Detection of Cardiovascular Disease from ECG Image Using Optimized Weighted Average Ensemble Machine Learning Technique
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