Daniel G. Conway
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Teaching Professor
Also affiliated: University of Notre Dame (2003–2008); Northwestern University (2013); Augustana University (2008); University of South Florida (2017–2024); University of Florida (2000); Augustana College (2008); Virginia Tech (1994–1997)
Research Areas
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Biography and Research Information
OverviewAI-generated summary
Daniel G. Conway's research has focused on optimization problems, particularly within the domain of dynamic plant and facility layout. He has investigated the application of genetic algorithms and heuristic methods to solve complex layout challenges, with publications dating back to 1994. His work also extends to modeling optimization problems within spreadsheet environments and exploring the role of interface agents in electronic commerce. More recently, Conway has co-authored work on enhancing trust in business ecosystems using blockchain technology and examining zero-knowledge proofs in relation to privacy.
Metrics
- h-index: 8
- Publications: 24
- Citations: 505
Positions
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Teaching Professor publications 2020–2024University of Arkasas Information Systems ORCID
Selected Publications
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Multi-party Computation: Privacy in Coopetition (2024)
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Ensuring Safety and Security in Blockchains: A Private Capital Markets Example (2022)
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Special Issue of INFORMS Journal on Applied Analytics—Blockchain Analytics (2020)
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Enhancing Trust in Business Ecosystems With Blockchain Technology (2020)
Collaboration Network
Top Collaborators
- Enhancing Trust in Business Ecosystems With Blockchain Technology
- Special Issue of INFORMS Journal on Applied Analytics—Blockchain Analytics
- Ensuring Safety and Security in Blockchains: A Private Capital Markets Example
- Special Issue of INFORMS Journal on Applied Analytics—Blockchain Analytics
- Special Issue of INFORMS Journal on Applied Analytics—Blockchain Analytics
- Special Issue of INFORMS Journal on Applied Analytics—Blockchain Analytics
- Ensuring Safety and Security in Blockchains: A Private Capital Markets Example
- Multi-party Computation: Privacy in Coopetition
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