M. Joy
Student
Also affiliated: Marshall Space Flight Center (2000–2012)
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
M. Joy's research has focused on astrophysics, specifically the study of galaxy clusters. Publications include work on the Sunyaev-Zel'dovich effect for selecting massive galaxy clusters, such as SPT-CL J0546-5345 and SPT-CL J2106-5844, and analysis of redshift and sample purity for galaxy cluster catalogs from the South Pole Telescope survey. More recent work explores applications of big data and machine learning in enterprise financial management and healthcare. Joy's academic work includes 16 publications with 484 citations and an h-index of 9. They remain an active researcher.
Metrics
- h-index: 9
- Publications: 16
- Citations: 484
Positions
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Data Analyst 2025–presentUPSKILL CONSULTANCY INC Data Analytics ORCID
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Student publications 2024Southern Arkansas University Listing
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Assistant Accountant 2019–2021Evergreen Products Factory (BD) Ltd. Accounts ORCID
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Intern – Banking Operations 2017Al-Arafah Islami Bank Banking Operations ORCID
Selected Publications
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AI-Powered Predictive Analytics For Intellectual Property Risk Management In Supply Chain Operations: A Big Data Approach (2024)
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AI-POWERED PREDICTIVE ANALYTICS FOR INTELLECTUAL PROPERTY RISK MANAGEMENT IN SUPPLY CHAIN OPERATIONS: A BIG DATA APPROACH (2024)
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DATA-DRIVEN TRANSFORMATION: OPTIMIZING ENTERPRISE FINANCIAL MANAGEMENT AND DECISION-MAKING WITH BIG DATA (2024)
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None (2024)
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INTEGRATING MACHINE LEARNING AND BIG DATA ANALYTICS FOR REAL-TIME DISEASE DETECTION IN SMART HEALTHCARE SYSTEMS (2024)
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REVOLUTIONISING FINANCIAL DATA MANAGEMENT: THE CONVERGENCE OF CLOUD SECURITY AND STRATEGIC ACCOUNTING IN BUSINESS SUSTAINABILITY (2024)
Collaboration Network
Top Collaborators
- DATA-DRIVEN TRANSFORMATION: OPTIMIZING ENTERPRISE FINANCIAL MANAGEMENT AND DECISION-MAKING WITH BIG DATA
- AI-POWERED PREDICTIVE ANALYTICS FOR INTELLECTUAL PROPERTY RISK MANAGEMENT IN SUPPLY CHAIN OPERATIONS: A BIG DATA APPROACH
- AI-Powered Predictive Analytics For Intellectual Property Risk Management In Supply Chain Operations: A Big Data Approach
- None
- DATA-DRIVEN TRANSFORMATION: OPTIMIZING ENTERPRISE FINANCIAL MANAGEMENT AND DECISION-MAKING WITH BIG DATA
- INTEGRATING MACHINE LEARNING AND BIG DATA ANALYTICS FOR REAL-TIME DISEASE DETECTION IN SMART HEALTHCARE SYSTEMS
- None
- DATA-DRIVEN TRANSFORMATION: OPTIMIZING ENTERPRISE FINANCIAL MANAGEMENT AND DECISION-MAKING WITH BIG DATA
- None
- AI-POWERED PREDICTIVE ANALYTICS FOR INTELLECTUAL PROPERTY RISK MANAGEMENT IN SUPPLY CHAIN OPERATIONS: A BIG DATA APPROACH
- AI-Powered Predictive Analytics For Intellectual Property Risk Management In Supply Chain Operations: A Big Data Approach
- AI-POWERED PREDICTIVE ANALYTICS FOR INTELLECTUAL PROPERTY RISK MANAGEMENT IN SUPPLY CHAIN OPERATIONS: A BIG DATA APPROACH
- AI-Powered Predictive Analytics For Intellectual Property Risk Management In Supply Chain Operations: A Big Data Approach
- INTEGRATING MACHINE LEARNING AND BIG DATA ANALYTICS FOR REAL-TIME DISEASE DETECTION IN SMART HEALTHCARE SYSTEMS
- INTEGRATING MACHINE LEARNING AND BIG DATA ANALYTICS FOR REAL-TIME DISEASE DETECTION IN SMART HEALTHCARE SYSTEMS
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