Research output per year
Research output per year
Personal profile
About
You can contact Arin Brahma at [email protected].
Arin joined LMU as a tenure-track assistant professor in 2018. Prior to that, Arin served as a full-time clinical assistant professor at LMU from 2013 to 2018. Arin’s areas of expertise include machine learning, big data, operations management and supply chain analytics, and robotic process automation (RPA), with a special focus on the healthcare and financial services industries.
Arin’s research areas of interest include AI/Machine Learning in medical informatics, health IT, and financial services. Arin’s research is application-centric and incorporates Design Science Research (DSR) methods when appropriate. Arin has presented papers in top academic conferences such as ICIS and DESRIST and published research papers in top IS journals such as DSS and JASIST. Arin also contributes to the community of scholars as an Area Editor of Health Systems Journal (Taylor & Francis: https://www.tandfonline.com/action/journalInformation?show=editorialBoard&journalCode=thss20 ) and has peer-reviewed many journal papers.
Prior to LMU, Arin held many senior industry positions, founded technology start-ups and provided IT solutions as a consultant to many fortune 500 companies including Disney, Amgen, AT&T, Longs Drugs, etc. In 2019, Arin founded AI consulting company Kognivo out of LMU campus in collaboration with some of his ISBA faculty colleagues. Kognivo created many industry collaboration-based research opportunities for ISBA faculty and job placement opportunities for his students.
Arin integrates his problem-solving approach learned from his vast industry experience into his course design and pedagogy. This has allowed him to design and develop many new cutting-edge technology courses at both the graduate and undergraduate levels. Arin was also a key contributor in the design of the LMU’s flagship Master of Science in Business Analytics (MSBA) curriculum launched in 2020. Arin teaches courses such as Machine Learning, ML Model Deployment and MLOps, Big Data, Healthcare Analytics, and Operations and Supply Chain Management Analytics.
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Are mortgage loan closing delay risks predictable? A predictive analysis using text mining on discussion threads
Goldberg, D. M., Zaman, N., Brahma, A. & Aloiso, M., Mar 2022, In: Journal of the Association for Information Science and Technology. 73, 3, p. 419-437 19 p.Research output: Contribution to journal › Article › peer-review
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Automated mortgage origination delay detection from textual conversations
Brahma, A., Goldberg, D. M., Zaman, N. & Aloiso, M., Jan 2021, In: Decision Support Systems. 140, 113433.Research output: Contribution to journal › Article › peer-review
Open Access -
Understanding cardiovascular disease progression behavior from patient cohort data using markov chain model
Brahma, A., Chatterjee, S., Fitzpatrick, B. G. & Seal, K., 2021, International Conference on Information Systems, ICIS 2020 - Making Digital Inclusive: Blending the Local and the Global. Association for Information Systems, (International Conference on Information Systems, ICIS 2020 - Making Digital Inclusive: Blending the Local and the Global).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Designing a Machine Learning Model to Predict Cardiovascular Disease Without Any Blood Test
Brahma, A., Chatterjee, S. & Li, Y., Apr 27 2019, Extending the Boundaries of Design Science Theory and Practice - 14th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2019, Proceedings. Tulu, B., Djamasbi, S. & Leroy, G. (eds.). Springer Verlag, p. 125-139 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11491 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution