ACADEMIC EXPERIENCE

Assistant Professor – Decision Science (2022 - Present)
W. Frank Barton School of Business, Wichita State University

PUBLICATIONS

  • Nasir, Murtaza; Dag, Ali; Simsek, Serhat; Ivanov, Anton & Oztekin, Asil, “Improving Imbalanced Machine Learning with Neighborhood-Informed Synthetic Sample Placement”, Journal of Management Information Systems 39.4 : 1116-1145 (2022).

  • Sheikh, Shaya; Rabiee, Meysam; Nasir, Murtaza; Oztekin, Asil, “An Integrated Decision Support System for Multi-Target Forecasting: A Case Study of Energy Load Prediction for a Solar-Powered Residential House”, Computers & Industrial Engineering (2022).

  • Nasir, Murtaza; Summerfield, Nichalin; Oztekin, Asil; Knight, Margaret; Carreiro, Stephanie & Ackerson, Leland, “Outcome Prediction and Novel Hypotheses Generation Using Machine Learning for Substance Use Disorder Treatment”, Journal of American Medical Informatics Association (2021).

  • Nasir, Murtaza; Simsek, Serhat; Cornelsen, Erin; Ragothaman, Srinivasan & Dag, Ali, “Developing a decision support system to detect material weaknesses in internal control”, Decision Support Systems (2021)

  • Nasir, Murtaza; Summerfield, Nichalin; Dag, Ali & Oztekin, Asil, "A service analytic approach to studying patient no-shows" Service Business 14, 287–313 (2020).

  • Nasir, Murtaza; Dag, Ali; Young, William & Delen, Dursun, "Determining Optimal Skillsets for Business Managers Based on Local and Global Job Markets: A Text Analytics Approach", Decision Sciences Journal of Innovative Education 18 (3), 374-408 (2020).

  • Nasir, Murtaza; South-Winter, Carole; Ragothaman, Srinivasan & Dag, Ali, “A comparative data analytic approach to construct a risk trade-off for cardiac patients’ re-admissions”, Industrial Management and Data Systems 119 (1), 189-209 (2019).

AWARDS

  • Runner up for Best Regional Paper Award at the Decision Sciences Institute (DSI) Conference 2021

    • Nasir, Murtaza; Summerfield, Nichalin; Simsek, Serhat & Oztekin, Asil, “Simple Interaction Finding Technique (SIFT): A Novel Hypothesis Generation Methodology with Machine Learning”.


  • Best Student Paper Award at the Northeast Decision Sciences Institute (NEDSI) 2021 Conference

    • Nasir, Murtaza; Summerfield, Nichalin; Simsek, Serhat & Oztekin, Asil, “Simple Interaction Finding Technique (SIFT): A Novel Hypothesis Generation Methodology with Machine Learning”.


  • Best Application of Theory Award at the Northeast Decision Sciences Institute (NEDSI) 2021 Conference

    • Nasir, Murtaza Summerfield, Nichalin; Simsek, Serhat & Oztekin, Asil, “Simple Interaction Finding Technique (SIFT): A Novel Hypothesis Generation Methodology with Machine Learning”.


  • 1st in the Best Paper Award at the DSI Annual Meeting 2020

    • Nasir, Murtaza; Dag, Ali; Simsek, Serhat & Oztekin, Asil, “Synthetic Average Neighborhood Sampling Algorithm (SANSA): A Neighborhood Informed Synthetic Sample Placement Approach to Improve Learning from Imbalanced Data”.


  • 3rd in the Data Mining Section Best Paper Award at the INFORMS Annual Meeting 2020

    • Nasir, Murtaza; Dag, Ali; Simsek, Serhat & Oztekin, Asil, “Synthetic Average Neighborhood Sampling Algorithm (SANSA): A Neighborhood Informed Synthetic Sample Placement Approach to Improve Learning from Imbalanced Data”.


  • Two 2nd and One 3rd Position in the VHA Innovation Ecosystem and FDA COVID-19 Risk Factor Modeling Challenge 2020

    • Using machine learning with patient medical history data, achieved 2nd place for predicting COVID-19 deaths, 3rd place for predicting hospitalization stay and ventilator duration for COVID-19 and the 4th place overall to predict five COVID-19 related health outcomes in a competition organized by the FDA & VHA.


  • Best Overall Conference Paper Award at the Northeast Decision Sciences Institute (NEDSI) 2020 Conference

    • Nasir, Murtaza; Dag, Ali; Simsek, Serhat & Oztekin, Asil, “Synthetic Average Neighborhood Sampling Algorithm (SANSA): A Neighborhood Informed Synthetic Sample Placement Approach to Improve Learning from Imbalanced Data”.


  • Best Contribution to Theory Award at the Northeast Decision Sciences Institute (NEDSI) 2020 Conference

    • Nasir, Murtaza; Dag, Ali; Simsek, Serhat & Oztekin, Asil, “Synthetic Average Neighborhood Sampling Algorithm (SANSA): A Neighborhood Informed Synthetic Sample Placement Approach to Improve Learning from Imbalanced Data”.


EDUCATION

  • PhD in Business Analytics (2022)

    • Manning School of Business, University of Massachusetts Lowell


  • Master of Business Administration – Business Analytics Concentration (2019)

    • Beacom School of Business, University of South Dakota


  • Bachelor of Science – Engineering (2009)

    • Ghulam Ishaq Khan Institute of Engineering Sciences and Technology


Wichita, KS

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