Pankush Kalgotra, Ph.D. Assistant Professor, Business Analytics Graduate School of Management Clark University, Worcester Email: pkalgotra@clarku.edu Education Ph.D., Oklahoma State University, Stillwater, July, 2017 Major: Management Science & Information Systems (GPA: 4.0) Dissertation Title: Impact of Comorbidity on Health Outcomes Advisor: Dr. Ramesh Sharda MS, Oklahoma State University, 2013. Major: Management Information Systems (GPA: 3.86) B.Tech. National Institute of Technology (NIT), Raipur, CG, India, 2011. Major: Information Technology (CPI: 8.01/10) Research Interests Teaching Interests Healthcare Analytics Network Science Neuroimaging in Information Systems Dark Side of Information Technology Big Data Advanced Analytics Techniques Descriptive, Predictive and Prescriptive Analytics Operations Management Database Management Systems RESEARCH Journal Articles Kalgotra, P., Sharda, R., McHaney, R. Don t Disturb Me! Understanding the Impact of Interruptions on Knowledge Work: An Exploratory Neuroimaging Study. Information Systems Frontier. Forthcoming. 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. 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. Page 1 of 8
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. Research Book Chapters Kalgotra, P., Sharda, R., Molaka, B., & Kathuri, S. (2017). Time-Based Comorbidity in Patients Diagnosed with Tobacco Use Disorder. In Guide to Big Data Applications (pp. 401-413). Springer International Publishing. Sharda, R., Kalgotra, P. Blossoming the Analytics Talent Pool: An Overview of the Analytics Ecosystem. Informs Analytics Body of Knowledge (ABOK). Forthcoming. Journal Articles under Review Kalgotra, P., Sharda, R. BIARAM: A Process for Analyzing Correlated Brain Regions Using Association Rule Mining. (Under review at Computer Methods and Programs in Biomedicine) Kalgotra, P., Sharda, R. When will I get out of the Hospital? Modeling Length of Stay Using Comorbidity Network. (Under review at Information Systems Research) Manuscripts in Preparation for Journal Submission Kalgotra. P., Sharda, R., Hammer, B., Albert, D. Sensor Analytics for Interpretation of EKG Signals. (Target Journal: Expert Systems with Application) Kalgotra, P., Sharda, R. Diagnoses form Traps: Identifying Mortality related Cliques in Comorbidity Network (Target Journal: Decision Support Systems) Kalgotra, P., Sharda, R., Luse, A. Impact of Sample Size on Implicit Networks. (Target Journal: Journal of the Association for Information Science and Technology) Kalgotra, P., Sharda, R. Health Analytics Lead to More Questions: A Comorbidity Lens Approach (Target Journal: Journal of the Association for Information Systems) Kalgotra, P., Sharda, R., Baham, C. Understanding the impact of technology interruptions: A Qualitative Study (Target Journal: European Journal of Information System) Kalgotra, P., Sharda, R. Predicting Mortality in Multidimensional EMR: An Application of Deep Learning (Target Journal: Decision Support Systems) Conference Proceedings Kalgotra, P., Luse, A., Sharda, R. (2017). Take Control of Interruptions in Your Life: Lessons from Routine Activity Theory of Criminology. (vol. HICSS 50, pp. 5668-5677). Hawaii International Conference on System Sciences. Kalgotra, P., Sharda, R. (2016, December). Health Analytics Lead to More Questions: A Comorbidity Lens Approach. In 2016 Pre-ICIS SIGDSA/IFIP WG8.3 Symposium, Dublin 2016. Kalgotra, P., Sharda, R. (2016, December). Progression Analysis of Signals: Extending CRISP- DM to Stream Analytics. In Proceedings of the 2016 IEEE International Conference on Big Data, pp. 2880-2885. Page 2 of 8
Kalgotra, P., Luse, A., Sharda, R. (2016, November). When will I get out of the Hospital? Modeling Length of Stay Using a Disease Network. Proceedings of the 11th INFORMS Workshop on Data Mining and Decision Analytics (DM-DA 2016). Kalgotra, P., Sharda, R., McHaney, R. (2016). Understanding the Impact of Interruptions on Knowledge Work: An Exploratory Neuroimaging Study (vol. HICSS 49, pp. 658-667). Hawaii International Conference on System Sciences. Kalgotra, P., Sharda, R. (2014). Neuroimaging Research in Social Science. Gmunden Retreat on NeuroIS 2014. Kalgotra, P., Sharda, R., Chakraborty, G. (2014). Association Mining of Brain Data: An EEG Study. SAS Global Forum Proceedings 2014. Kalgotra, P., Sharda, R., Chakraborty, G. (2013). Predictive modeling in sports leagues: An application in Indian Premier League. SAS Global Forum Proceedings 2013. 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.., 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). Page 3 of 8
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). Grants and Sponsored Research Sharda, R., Kalgotra, P., Analytics Applications for Smart Energy Infrastructure, Sponsored by NESI-SES Association, $36,000. (2016-2017). Kalgotra, P., "Student Competition Winner Grant" Sponsored by SAS Institute Inc., $3,000.00. (October 2014). Kalgotra, P., "SAS Student Ambassador Grant," Sponsored by SAS Institute Inc., $3,000.00. (March 2014). Professional Service Teradata Aster teaching content (teaching notes and exercises) on Teradata University Network (http://www.teradatauniversitynetwork.com/) o Kalgotra, P. and Sharda, R. Getting Started with Aster Express and AppCenter, Oklahoma State University, (2016). o Kalgotra, P. and Sharda, R. Bank Web-Clicks Analysis, Oklahoma State University, (2016). o Kalgotra, P., Sharda, R. and Asamoah, D. Telco Churn Analysis, Oklahoma State University, 2016. o Kalgotra, P. and Sharda, R. Disease Network and its Properties, Oklahoma State University, 2016. Page 4 of 8
o Kalgotra, P. and Sharda, R. Network Analytics: A Healthcare Application, Oklahoma State University, 2016. Awards and Honors Outstanding MSIS Doctoral Student (2017) Phillips Dissertation Fellowship Award (2017) Informs 2016 Poster Competition Winner (Third Place) Institute for Teaching and Learning Excellence Teaching Mentor (2016-17) OSU Center for Health Systems Innovation Health Data Shootout Competition Winner (2016) Selected for Doctoral Consortium (AMCIS 2016 and DSI 2016) Member of Phi Kappa Phi (2016) People's Choice award at the college level 3MT (Three Minute Thesis) competition (2016) Distinguished Graduate Fellowship (2015-16 and 2016-17) 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) Graduate College Top Tier Fellowship (2013) Student Scholar Award, SAS Institute Inc. (April 2013) Academic and Professional Positions Assistant Professor, Clark University (Fall 2017 - Present) Graduate Teaching Associate, Oklahoma State University (Fall 2013 Summer 2017) 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 2012 - Dec 2012) System Administrator, School of Architecture, OSU (Dec 2011 - May 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 BigInsights, Teradata Aster, SQL-MapReduce, ArcGIS Complex Event Processing: IBM Infosphere Streams Optimization: Frontline Solver Neuroimaging: EEG, EEGLab, LORETA Other Statistical Package: MPlus Page 5 of 8
Teaching Experience Course Description Clark University Fall 2017 STAT 4600 (Graduate) Big Data Statistics 1 Description: This course aims to provide an overview of data mining and statistical techniques that arise in business analytic applications. It emphasizes the methodological understanding of descriptive and diagnostic methodologies to identify key aspects of a business question, from data collection to the formulation and testing of hypotheses. As such, this course is essentially a data science course with an emphasis on statistical methodologies. At the same time, the course emphasizes the practical aspects of business analytics by embedding the methodologies in applications and by underlining the general objective of improving the speed, reliability, and quality of decisions. Oklahoma State University Number of Sections Ongoing Average Rating Ongoing Spring 2016-MSIS 5683 (Graduate) - 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. Two 4.53 out of 5 Fall 2015-MSIS 3233 (Undergraduate) - 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 are highlighted and integrated with computer exercises. One 4.74 out of 5 Fall 2013-Spring 2015-MSIS 3223 (Undergraduate) - 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 Certifications SAS and OSU Data Mining Certificate, Spears School of Business. (December 2012) SAS Certified Predictive Modeler, SAS Institute Inc. (April 2012) Page 6 of 8
Review Activities and General Service Reviewer, "Hawaii International Conference on System Sciences (HICSS)" (2015-18) Five papers Reviewer, Engaged Management Review (2017) Reviewer, IEEE Technology and Engineering Management (2017) Reviewer, Journal of Midwest AIS (2017) Reviewer, Managerial and Decision Economics Journal (2016) Reviewer, Proceedings of the 11th INFORMS Workshop on Data Mining and Decision Analytics (DM-DA 2016) Reviewer, "Decision Support Systems Journal" (2016) Reviewer, "Pre-ICIS SIG DSA Research Track" (2016) 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, "AIS Transactions on Human-Computer Interaction" (2015) Reviewer, Midwest Association for Information Systems (MWAIS) (2015) Spears School of Business Student Tech Fee Committee, Member. (Aug 2012 - May 2013). 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) Member, Institute of Electrical and Electronics Engineers (IEEE) Page 7 of 8
References Ramesh Sharda (Dissertation Advisor) Vice Dean of the Watson Graduate School of Management, Regents Professor of Mgmt. Science and Information Systems, ConocoPhillips Chair of Mgmt. Technology, Director, Institute for Research in Information Systems Spears School of Business Oklahoma State University Phone: 405-744-9000 E-mail: ramesh.sharda@okstate.edu Rick Wilson (MSIS Department Head) W. Paul Miller Professor of Business Administration Professor and Head Management Science and Information Systems Spears School of Business Oklahoma State University Phone: 405-744-3551 E-mail: rick.wilson@okstate.edu Roger McHaney (Collaborator) Daniel D. Burke Chair for Exceptional Faculty University Distinguished Teaching Scholar Faculty of Distinction, Department of Management Kansas State University, Manhattan, KS Phone: 785-532-7479 E-mail: mchaney@ksu.edu Page 8 of 8