Pankush Kalgotra Oklahoma State University - Stillwater Management Science and Information Systems Ph.

Transcription

1 Pankush Kalgotra Oklahoma State University - Stillwater Management Science and Information Systems pankush@okstate.edu Ph Education Ph.D., Spears School of Business (Expected: May, 2017) Major: Management Science & Information Systems Dissertation Proposal Defense (Expected: First week of August, 2016) MS, Oklahoma State University, Major: Management Information Systems B.Tech. National Institute of Technology (NIT), Raipur, CG, India, Major: Information Technology Research Interests Teaching Interests Healthcare Analytics Neuroimaging in Information Systems Dark Side of Information Technology Energy Analytics Network Analytics Machine Learning Big Data Advanced Analytics Techniques Real-Time Analytics Visual Analytics Descriptive, Predictive and Prescriptive Analytics Operations Management Database Management Systems RESEARCH Journal Articles under Review Kalgotra, P., Sharda, R. BIARAM: A Process for Analyzing Correlated Brain Regions Using Association Rule Mining. (Under second revision with a journal) Asamoah, D., Sharda, R., Zadeh, A., Kalgotra, P. Preparing a Big Data Analytics Professional: A Pedagogic Experience. (Under second revision with a journal) Kalgotra, P., Sharda, R., McHaney, R. (2016). Don t Disturb Me! Understanding the Impact of Interruptions on Knowledge Work: An Exploratory Neuroimaging Study. (Under first revision with a journal) Asamoah, D., Sharda, R., Kalgotra, P., Ott, M. (2016) Who Renews? Who Leaves? Advanced Churn Analysis Using Big Data Techniques in a Telecom Company. (Under first revision with a journal) Page 1 of 5

2 Manuscripts in Preparation for Journal Submission Kalgotra, P., Sharda, R. When will I get out of the Hospital? Modeling Length of Stay Using a Disease Network. (Final copy-editing) Kalgotra, P., Sharda, R., Hammer, B. I., Paiva, W., Albert, D. Can a Smartphone be a Personal Doctor? Diagnosing Heart Conditions on Smartphones. (Final copy-editing) Sharda, R., Kalgotra, P. (2016). Blossoming the Analytics Talent Pool: An Overview of the Analytics Ecosystem. (Final copy-editing) Kalgotra, P., Sharda, R. Descriptive Analytics: Comorbidity Networks across Demographics. (Preparing manuscript) Kalgotra, P., Sharda, R. Network Analytics: A Teaching Brief. (Preparing manuscript) Bonu, K., Kalgotra, P., Sharda, R. Modeling Arboviral Disease Transmission from Human Movements (Preparing manuscript) Kalgotra, P., Sharda, R. Understanding the Impact of Comorbidity on Patients Diagnosed with Tobacco Use Disorder. (Preparing manuscript) Conference Proceedings and Presentations Kalgotra, P., Luse, A., Sharda, R. Take Control of Interruptions in Your Life: Lessons from Routine Activity Theory of Criminology. (Under first revision with a conference) 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), Kalgotra, P., Asamoah, D., Sharda, R., Zadeh, A. Preparing a Big Data Analytics Professional: A Pedagogic Experience. To be 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. To be 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 DSI 2016 Annual Meeting in Austin, TX, USA. Kalgotra, P., Sharda, R., McHaney, R. (2016). Understanding the Impact of Interruptions on Knowledge Work: An Exploratory Neuroimaging Study (vol. HICSS 49, pp ). Hawaii International Conference on System Sciences. Kalgotra, P., Sharda, R. (2014). Neuroimaging Research in Social Science. Gmunden Retreat on NeuroIS Kalgotra, P., Sharda, R., Chakraborty, G. (2014). Association Mining of Brain Data: An EEG Study. SAS Global Forum Proceedings Kalgotra, P., Sharda, R., Chakraborty, G. (2013). Predictive modeling in sports leagues: An application in Indian Premier League. SAS Global Forum Proceedings 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). Page 2 of 5

3 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 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). Dissertation Essays Theory Building using Data Analytics: Modeling Length of Stay Using a Disease Network. (Final copy-editing) Descriptive Analytics: Comorbidity Networks across Demographics. (Preparing manuscript) Developing New Measures using Data Analytics: Comorbidity Index and Mortality (Data Analysis) Grants and Sponsored Research Sharda, R., Kalgotra, P., Analytics Applications for Smart Energy Infrastructure, Sponsored by NESI-SES Association, $36,000. ( ). Kalgotra, P., "Student Competition Winner Grant; SAS donated $2000 to OSU," Sponsored by SAS Institute Inc., $3, (October 2014). Kalgotra, P., "SAS Student Ambassador Grant," Sponsored by SAS Institute Inc., $3, (March 2014). Page 3 of 5

4 Teaching Experience Oklahoma State University Stillwater Course Name Number of Sections Average Rating Spring 2016-MSIS Big Data Advanced Analytics Techniques (Co-taught with Dr. Ramesh Sharda) Description: This course brings together key Big Data tools on a Hadoop platform to show how to efficiently manage data with three main characteristics; volume, velocity and variety. Topics include the Hadoop platform, social media analytics, link analysis, and stream analytics. One 4.12 out of 5 Fall 2015-MSIS Prescriptive Analytics/Management Science Methods Description: This course involves an examination of various quantitative approaches to decision making. Deterministic problem-solving techniques of the operations research (OR) area will be highlighted and integrated with computer exercises. One 4.74 out of 5 Fall 2013-Spring 2015-MSIS Operations Management Description: An introduction to the operations management process, and an exploration of decision-making tools and techniques to improve business processes. Seven 3.64 out of 4 Academic and Professional Positions Graduate Teaching Associate, Oklahoma State University (Fall Present) Graduate Research Associate at Center for Health Systems Innovation OSU (Jun-Jul, 2015) Graduate Research Associate at Center for Health Systems Innovation OSU (Jun-Jul, 2016) Graduate Teaching Assistant, Spears School of Business, OSU (Jan Dec 2012) System Administrator, School of Architecture, OSU (Dec May 2013) Awards and Honors Selected for Doctoral Consortium (AMCIS, 2016) Member of Phi Kappa Phi (2016) People's Choice award at the college level 3MT (Three Minute Thesis) competition (2016) Distinguished Graduate Fellowship (2016) Distinguished Graduate Fellowship (2015) Outstanding Graduate Teaching Assistant Award (2015) SAS Shootout Competition Winner, SAS Institute Inc. (October 2014) SAS Student Ambassador Award, SAS Institute Inc. (March 2014) Second Place at the college level 3MT (Three minute thesis) competition (2014) Page 4 of 5

5 Graduate College Top Tier Fellowship (2013) Student Scholar Award, SAS Institute Inc. (April 2013) Technical Skills Data Mining: R, Base SAS, SAS Enterprise Guide, SAS Enterprise Miner, SAS JMP, IBM SPSS Modeler, Rapid Miner, Tableau Social Network Analytics: Gephi, Teradata Aster, R Database: SQL Server Big Data tools: Apache Hadoop, Cloudera, Hortonworks, Hive, Pig, RHadoop, Apache Spark, IBM Insights, Teradata Aster, SQL-MapReduce Complex Event Processing: IBM Infosphere Streams Optimization: Frontline Solver Other Statistical Package: MPlus Licensures and Certifications SAS and OSU Data Mining Certificate, Spears School of Business. (December 2012) SAS Certified Predictive Modeler, SAS Institute Inc. (April 2012) Review Activities Reviewer, "50th Hawaii International Conference on System Sciences (HICSS) (The Dark Side of Information Technology." (2017) Reviewer, "50th Hawaii International Conference on System Sciences (HICSS) (HCI: Informing Design Utilizing Behavioral, Neurophysiological, and Design Science Methods)" (2017) Reviewer, "AIS Transactions on Human-Computer Interaction." (2016) Session Chair, "22nd Americas Conference on Information Systems (Behavioral Issues in Information Security)." (2016) Reviewer, "22nd Americas Conference on Information Systems (Behavioral Issues in Information Security)." (2016) Reviewer, "22nd Americas Conference on Information Systems (Sports Analytics)." (2016) Reviewer, "49th Hawaii International Conference on System Sciences (HICSS)." (2016) Reviewer, "AIS Transactions on Human-Computer Interaction." (2015) Reviewer, Midwest Association for Information Systems (MWAIS). (2015) Reviewer, "48th Hawaii International Conference on System Sciences (HICSS)." (2015) Professional Association Membership Member, Association for Information Systems (AIS) Member, Institute for Operations Research and the Management Sciences (INFORMS) Member, Decision Science Institute (DSI) Member, Special Interest Group on Decision Support and Analytics (SIGDSA) General Service Spears School of Business Student Tech Fee Committee, Member. (Aug May 2013). Page 5 of 5