Pankush Kalgotra, PhD

Assistant Professor, Business Analytics
Graduate School of Management
Clark University
Worcester, MA 01610-1477

Phone: 508-793-7556

PhD, Oklahoma State University, Stillwater
Major: Management Science & Information Systems

Research Interests

Healthcare Analytics
Network Science
Neuroimaging in Information Systems
Dark Side of Information Technology

Teaching Courses

(Graduate) - Data Structure and Big Data Computing
(Graduate) – Business Intelligence
(Graduate) – Big Data Statistics 1

Journal Articles

Kalgotra, P., Sharda, R. (2018). BIARAM: A Process for Analyzing Correlated Brain Regions Using Association Rule Mining. Computer Methods and Programs in Biomedicine. Forthcoming

Kalgotra, P., Sharda, R., McHaney, R. (2017). Don’t Disturb Me! Understanding the Impact of Interruptions on Knowledge Work: An Exploratory Neuroimaging Study. Information Systems Frontier. https://doi.org/10.1007/s10796-017-9812-9.

Kalgotra. P., Sharda, R., Croff, J. (2017). Examining Health Disparities by Gender: A Multimorbidity Network Analysis of Electronic Medical Record. International Journal of Medical Informatics, 108, 22–28. https://doi.org/10.1016/j.ijmedinf.2017.09.014.

Kalgotra, P., Sharda, R., & Paiva, W. D. (2017). Analysis of a Sequence of Events in Healthcare. Journal of the Midwest Association for Information Systems | Vol, 2017(2), 9-24.

Asamoah, D. A., Sharda, R., Hassan Zadeh, A., Kalgotra, P. (2017). Preparing a Data Scientist: A Pedagogic Experience in Designing a Big Data Analytics Course. Decision Sciences Journal of Innovative Education, 15(2), 161-190.

Asamoah, D., Sharda, R., Kalgotra, P., Ott, M. (2016) Who Renews? Who Leaves? Advanced Churn Analysis Using Big Data Techniques in a Telecom Company. Journal of Information Systems Education. 27(4), 223-232. http://jise.org/Volume27/n4/JISEv27n4p223.pdf

Research Book Chapters

Kalgotra, P., Sharda, R., Molaka, B., & Kathuri, S. (2018). Time-Based Comorbidity in Patients Diagnosed with Tobacco Use Disorder. In Guide to Big Data Applications, Studies in Big Data, vol 26. (pp. 401-413). Springer, Cham. https://doi.org/10.1007/978-3-319-53817-4_15

Sharda, R., Kalgotra, P. (2018). Blossoming the Analytics Talent Pool: An Overview of the Analytics Ecosystem. Informs Analytics Body of Knowledge (ABOK). In Production.

Presentations

Kalgotra, P., Sharda, R., Health Analytics Lead to More Questions: A Comorbidity Lens Approach. Presented at the INFORMS Healthcare, Rotterdam 2017.

Kalgotra, P., Sharda, R., Take Control of Interruptions in Your Life: Lessons from Routine Activity Theory of Criminology. Presented at the Hawaii International Conference on System Sciences (HICSS), 2017.

Kalgotra, P., Sharda, R., Health Analytics Lead to More Questions: A Comorbidity Lens Approach. Presented at 2016 Pre-ICIS SIGDSA/IFIP WG8.3 Symposium: Innovations in Data Analytics.

Kalgotra, P., Sharda, R. Progression Analysis of Signals: Extending CRISP - DM to Stream Analytics. Presented at the 2016 IEEE International Conference on Big Data.

Kalgotra, P., Asamoah, D., Sharda, R., Zadeh, A. Preparing a Big Data Analytics Professional: A Pedagogic Experience. Presented at the DSI 2016 Annual Meeting in Austin, TX, USA.

Kalgotra, P., Sharda, R. When will I get out of the Hospital? Modeling Length of Stay Using a Disease Network. Presented at the DSI 2016 Annual Meeting in Austin, TX, USA.

Sharda, R., Kalgotra, P., Teaching Big Data Technologies using Teradata University Network & the Aster Platform. To be presented at the DASI SIG at DSI 2016 Annual Meeting in Austin, TX, USA. (Invited Session)

Sharda, R., Thilini, A., Gupta, B., Schrader, D., Kalgotra, P., Big Data Analytics and Data Visualization: Trends and Platforms. Workshop at Americas Conference on Information Systems (AMCIS), 2016.

Kalgotra, P., Sharda, R., MIS Big XII+ Symposium 2016, Baylor University, "When will I get out of the Hospital? Modeling Length of Stay Using a Disease Network" (April 2016).

Kalgotra, P., Sharda, R., Hammer, B. I., Paiva, W., Albert, D., Research Week, "Can a Smartphone be a Personal Doctor? Diagnosing Heart Conditions on Smartphones," Oklahoma State University, Stillwater. (February 2016).

Kalgotra, P., Sharda, R., Business Analytics Congress 2015, "Network Analytics: A Healthcare Application Demo of Teradata Aster," SIGDSA - AIS, Ft Worth. (December 2015).

Sharda, R., Kalgotra, P., Asamoah, D., Hassan Zadeh, A., Business Analytics Congress 2015, "Workshop on Teaching a Big Data Analytics Class in MIS Programs," SIGDSA - AIS, Ft Worth. (December 2015).

Kalgotra, P., Sharda, R., Hammer, B. I., INFORMS Healthcare, "Predicting Number of Patient Admission Days Using Disease Network." (2015).

Kalgotra, P., Patel, P., SAS Analytics 2015, "How Temperature Affects Residential Energy Consumption." (2015).

Kalgotra, P., Singh, V. “Improving SAS® Global Forum Papers” SAS Global Forum Proceedings 2015.

Kalgotra, P., Ma, J., Sharma, A. SAS Analytics 2014, "Dynamics and Specific Elements of Natural Phenomena on Crime." (October 2014). (SAS Shootout Competition Winner)

Kalgotra, P., Sharda, R. Gmunden Retreat on NeuroIS 2014, "Neuroimaging Research in Social Science." (June 2014).

Kalgotra, P., SAS Global Forum 2014, "Association Mining of Brain Data: An EEG Study." (March 2014).

Kalgotra, P., SAS Global Forum 2013, "Predictive modeling in sports leagues: An application in Indian Premier League." (April 2013).

Kalgotra, P., SAS Analytics 2012, "Neural Network and Bidding in Sports League." (October 2012).

Kalgotra, P., SAS Analytics 2012, "Square Matrix Parallelization in Big Data." (October 2012).

Faculty Biography

Pankush Kalgotra, PhD