Hina Arora
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Phone: 480-965-4875
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BAC 675 TEMPE, AZ 85287-4606
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Mail code: 4606Campus: Tempe
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Hina Arora is a Clinical Associate Professor in the Department of Information Systems at the W. P. Carey School of Business at Arizona State University. At ASU, Hina has taught artificial intelligence, data science, analytics, and programming courses at the executive, graduate, and undergraduate levels. She has also held Faculty Director and Director of Experiential Analytics roles for the MS in Business Analytics Program. Prior to joining ASU, Hina was an Analytics Manager at Microsoft, where she led analytics teams in the Windows Services Division and the US Central Marketing Organization. She has also held Software Development positions at IBM and Cognizant, and worked as a Research Scientist at the Center for Excellence in Document Analysis and Recognition at SUNY Buffalo. Hina has a PhD in information systems, a graduate degree in electronics and communication engineering, and an undergraduate degree in Physics.
- Ph.D. Arizona State University
- M.S. Indian Institute of Science
- B.S. University of Madras, India
Representative Publications
- H. Arora, T.S. Raghu, A. Vinze, A, “Decision Support for Pandemic Propagation and Containment”, Accepted, ACM Transactions on Information Systems, 2011.
- H. Arora, T.S. Raghu, A. Vinze, “Resource Allocation for Demand Surge Mitigation During Disaster Response”, Decision Support Systems, vol. 50, is. 1, pp. 304-315, 2010.
- H. Arora, B.K. Mishra, T.S. Raghu, “Autonomic Computing Approach to Secure Knowledge Management: A Game-theoretic Analysis,” Special Issue on Secure Knowledge Management, IEEE Transactions on Systems, Man and Cybernetics, vol. 36, is. 3, pp. 487-497, 2006.
Courses
2025 Spring
Course Number | Course Title |
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CIS 515 | AI and Data Analytics Strategy |
CIS 515 | AI and Data Analytics Strategy |
CIS 515 | AI and Data Analytics Strategy |
2024 Fall
Course Number | Course Title |
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CIS 515 | AI and Data Analytics Strategy |
CIS 568 | AI Business Strategy |
CIS 568 | AI Business Strategy |
2024 Spring
Course Number | Course Title |
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CIS 515 | AI and Data Analytics Strategy |
CIS 593 | Applied Project |
CIS 515 | AI and Data Analytics Strategy |
CIS 593 | Applied Project |
CIS 593 | Applied Project |
2023 Fall
Course Number | Course Title |
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CIS 591 | Seminar |
CIS 515 | AI and Data Analytics Strategy |
2022 Fall
Course Number | Course Title |
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CIS 515 | Deep Learning App in Business |
MGT 595 | Continuing Registration |
2022 Summer
Course Number | Course Title |
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MGT 595 | Continuing Registration |
2022 Spring
Course Number | Course Title |
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CIS 515 | Deep Learning App in Business |
CIS 515 | Deep Learning App in Business |
CIS 515 | Deep Learning App in Business |
CIS 515 | Deep Learning App in Business |
2021 Fall
Course Number | Course Title |
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WPC 591 | Seminar |
CIS 415 | Big Data Analytics in Business |
CIS 415 | Big Data Analytics in Business |
2021 Spring
Course Number | Course Title |
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CIS 515 | Business Analytics Strategy |
CIS 515 | Business Analytics Strategy |
2020 Summer
Course Number | Course Title |
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CIS 509 | Data Mining II |
2020 Spring
Course Number | Course Title |
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CIS 509 | Data Mining II |
CIS 509 | Data Mining II |
CIS 509 | Data Mining II |
CIS 509 | Data Mining II |
2019 Fall
Course Number | Course Title |
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CIS 509 | Data Mining II |
CIS 591 | Seminar |