Amir Zadeh, Ph.D.

Department:
Info Syst & Supply Chain Mgt
Title:
Professor
Address:
Rike Hall 243, 3640 Colonel Glenn Hwy, Dayton, OH 45435-0001

Ph.D. from Oklahoma State University with expertise in Information Systems and Analytics. Published in Decision Support Systems, Information & Management, Journal of Business Analytics, Information Systems Frontiers, Production Planning & Control, and other journals and conference proceedings. Actively involved in the Data Analytics and Visualization lab (DAVE) at Wright State University where students in the Raj Soin College of Business study business analytics.

Dr. Amir Zadeh is an Associate Professor of Management Information Systems at Wright State University. He earned his Ph.D. in Management Science and Information Systems from Oklahoma State University, OK, US. He holds degrees in both Industrial Engineering (with a concentration in Socio-Economic Systems) and Applied Mathematics (with a concentration in Computer Science). His research and teaching interests are varied and include data-driven decision making, analytics, big data, and machine learning with applications in information systems, healthcare, social networks, cybersecurity, e-commerce, sports, operations management, and others. His research on sports analytics using wearable technology is funded by a grant from Wright State University’s Research and Sponsored Programs (RSP). He received a technology grant from Microsoft to implement Microsoft Dynamics ERP using Azure Technologies and incorporate it into IS curriculum.

He received the Outstanding Scholarship Award from the Raj Soin College of Business at Wright State University in 2019 and 2021. His other awards include the Best Paper Award from the Journal of Information Systems Education in 2021, the Operations Research Society (OR)’s Ranyard Medal for the Best Paper in 2020, the Best Research Paper Award from the Business Analytics Congress at the ICIS Conference in 2015 and the Outstanding Faculty Award for Teaching in 2019 and 2021.

He serves as an associate editor for E-Service, and Frontiers in Artificial Intelligence – section AI in Business. He is also a member of the editorial review boards of the International Journal of Intelligent Information Technologies, the Journal of Information Systems Education, Journal of Business Research, and Journal of Business Analytics and serves as the teaching track co-chair of the ICIS Decision Support and Analytics (SIGDSA) symposium.

Awards/Recognition: 

  • Outstanding Scholarly & Creative Activity Award, Wright State University, 2023
  • Forty under 40 Award, Dayton Business Journal, 2022
  • Paper Award from the Journal of Information Systems Education (JISE), 2021 (Link)
  • Outstanding Scholarship Award, Raj Soin College of Business, Wright State University, 2021.
  • Outstanding Faculty, Master's of Logistics and Supply Chain,  Wright State University, 2021.
  • Ranyard Medal for Best Paper published in the Journal of Business Analytics, The Operational Research (OR) Society, United Kingdom, 2020 (Link)
  • Outstanding Scholarship Award, Raj Soin College of Business, Wright State University, 2019.
  • Outstanding Faculty, Master's of Logistics and Supply Chain,  Wright State University, 2019
  • Research Initiation Grant Award (Wright State University), 2016, “Wearable Technology and Data Science for Injury Prediction in Sports”
  • Microsoft Azure Educator Grant, Fall 2016
  • Best Research Paper Recipient Award at Business Analytics Congress 4, International Conference on Information Systems (ICIS 2015), Fort Worth, Texas, 2015
  • Graduate Research Excellence Award, Oklahoma State University, 2016
  • Spears School of Business Phillips Doctoral Dissertation Fellowship, 2015
  • Outstanding Graduate Teaching Associate Award, Spears School of Business, 2014
  • Distinguished Graduate Fellowship (DGF) Award, Oklahoma State University, 2014, 2015
  • Watson Doctoral Fellowship Award, Spears School of Business, 2014, 2015
  • Finalist in Elevator Pitch Competition, OSU, US, 2013 (Business Idea: Telelifeguard: A forward-thinking system that uses RFID with a bracelet sensor to help with early detection of active drowning and emergencies in water)

Education History

  • PhD, Management Science and Information Systems, Oklahoma State University, 2015
  • MSc, Industrial and Systems Engineering, Amirkabir University of Technology, 2008
  • BSc, Applied Mathematics, Shahed University, 2006

Research Interests

  • Business Intelligence and Analytics
  • Data/Text Mining, and Visualization
  • Machine Learning, AI
  • Big Data Analytics
  • Decision Support Systems
  • ERP and Enterprise Systems
  • Health, Sports, Cybersecurity, Social Networks, Operations Management.

Teaching Interests

  • Information systems & technology
  • Business analytics & intelligence
  • Data and text mining
  • Enterprise systems & applications
  • Data analytics & decision science
  • Data Visualizations
  • Decision support systems
  • Knowledge management
  • Supply chain systems & technology

Teaching

  • MIS 3000 - Information Systems Fundamentals 
  • MIS 3820 - Data Mining for Business 
  • MIS 4500 - Business Processes and Enterprise Systems 
  • MIS 7300 - Enterprise Systems and Analytics
  • SCM 4250 - Supply Chain Information Management 
  • SCM 7950 - Information Tech and Supply Chain

Publications

REFEREED JOURNAL/BOOK CHAPTER PUBLICATIONS

Zadeh, A., Broach, C., Nosoudi, N., Weaver, B., Conrad, J., & Duffy, K. (2023). Building Analytical Models for Predicting De Novo Malignancy in Pancreas Transplant Patients: A Machine Learning Approach. Expert Systems with Applications, 121584.

Zadeh, A., Broach, C., Nosoudi, N., Weaver, B., Conrad, J., & Duffy, K. (2023). Building Analytical Models for Predicting De Novo Malignancy in Pancreas Transplant Patients: A Machine Learning Approach. Expert Systems with Applications, 121584.

Zadeh, A., Lavine, B., Zolbanin, H. M., & Hopkins, D. (2023). A cybersecurity risk quantification and classification framework for informed risk mitigation decisions. Decision Analytics Journal, 100328.

Zadeh, A., and Jeyaraj, A.. "A multistate modeling approach for organizational cybersecurity exploration and exploitation." Decision Support Systems 162 (2022): 113849.

Nosoudi, N., Zadeh, A., White, H., Conrad, J., Shim, J. W., and Ramirez-Vick, J. E.. "The predictive value of serum bilirubin in the post-liver transplant de novo malignancy: A data mining approach." Healthcare Analytics 2 (2022): 100094.

Carter, N. C., Iyengar, A., Lanham, M., Nestler, S., Schrader, D., Zadeh, A. Clustering algorithms to increase fairness in collegiate wrestling. Journal of Quantitative Analysis in Sports, (2022)

Zadeh, A., Combs, K., Burkey, B., Dop. J., Duffy, K., and Nosoudi, N. "Pet analytics: Predicting adoption speed of pets from their online profiles." Expert Systems with Applications 204 (2022): 117596.

Zadeh A, Sharda R. How Can Our Tweets Go Viral? Point-Process Modelling of Brand Content. Information & Management. (2022) Jan 11:103594.

Combs, K., & Zadeh, A. (2022). A Case Study data crunch for pets. Industrial Management, 64(1).

Nosoudi N, Hart C, McKnight I, Esmaeilpour M, Ghomian T, Zadeh A, Raines R, Ramirez Vick JE. Differentiation of adipose-derived stem cells to chondrocytes using electrospraying. Scientific reports. (2021).

Comb, K., Zadeh, A., Solution in Practice: Animal analytics: Predicting pet adoption speeds as a multidisciplinary team, ISE (Industrial & Systems Engineering) Magazine, (2021)

Zadeh, A., Zolbanin, H., Sharda, R., “Incorporating Big Data Tools for Social Media Analytics in a Business Analytics Course”, Journal of Information Systems Education, (2021). (BEST PAPER AWARD)

Zadeh, Amir H. "Quantifying fan engagement in sports using text analytics." Journal of Data, Information, and Management (2021): 1-12.

Zolbanin, H. M., Zadeh, A. H., & Davazdahemami, B. Miscommunication in the age of communication: A crowdsourcing framework for symptom surveillance at the time of pandemics. International journal of medical informatics, (2021) 151, 104486.

Jeyaraj, A., Zadeh, A., “Exploration and Exploitation in Organizational Cybersecurity”, Journal of Computer Information Systems, (2021)

Jeyaraj, A., Zadeh, A., & Sethi, V. (2020). "Cybersecurity Threats and Organizational Response: Textual Analysis and Panel Regression." Journal of Business Analytics, (2020).

Zadeh, A., Jeyaraj, A., Biros, D. “Characterizing Cybersecurity Threats to Organizations in Support of Risk Mitigation Decisions”, E-service Journal, (2020).

Jeyaraj, A., & Zadeh, A. "Institutional Isomorphism in Organizational Cybersecurity: A Text Analytics Approach." Journal of Organizational Computing and Electronic Commerce, (2020).

Zadeh, A, Taylor, D., Bertsos, M., Tillman, T., Nosoudi, N., and Bruce, S. "Predicting Sports Injuries with Wearable Technology and Data Analysis." Information Systems Frontiers (2020): 1-15.

Zadeh, A., Zolbanin H., Sengupta, A., Schultz, T. “Enhancing ERP Learning Outcomes through Microsoft Dynamics”,  Journal of Information Systems Education (JISE), 31, no. 2 (2020): 83-95.

Zolbanin, H. M., Davazdahemami, B., Delen, D., and Zadeh, A. "Data analytics for the sustainable use of resources in hospitals: Predicting the length of stay for patients with chronic diseases." Information & Management (I&M)

Zadeh, A.H., Q Alsabi, JE Ramirez-Vick, N Nosoudi , “Characterizing basal-like triple negative breast cancer using gene expression analysis: A data mining approach”, Expert Systems With Applications, 2020

Jeyaraj, A. and Zadeh, A., (2019), "Evolution of Information Systems Research: Insights from Topic Modeling," Information & Management, 103207.

Zadeh, A. H., Jeyaraj, A., (2018) "Alignment of Business and Social Media Strategies: Insights from a Text Mining Analysis", Journal of Business Analytics, 17-134. (BEST PAPER AWARD)

Zadeh, A. H., Zolbanin, H. M., Sharda, R., & Delen, D. (2018). Social Media for Nowcasting Flu Activity: Spatio-Temporal Big Data Analysis. Information Systems Frontiers

Zadeh, A. H., Schiller, S., Duffy, K., & Williams, J. (2018). “Big Data and The Commoditization of Analytics: Engaging First-Year Business Students with Analytics”. E-Journal of Business Education & Scholarship of Teaching, 12(1). 

 Zadeh, A. H., Akinyemi, B., Jeyaraj, A., Zolbanin, H. M. (2018) “Cloud ERP Systems for Small-and-Medium Enterprises: a Case Study in the Food Industry”, Journal of Cases on Information Technology (JCIT), 20 (4)

Asamoah, D.A., Sharda, R. 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): p. 161-190.

Zadeh, A., Sharda, R., & Kasiri, N. (2016). Inventory record inaccuracy due to theft in production-inventory systems. The International Journal of Advanced Manufacturing Technology, 83(1-4), 623-631.

Zolbanin, H. M., Delen, D., & Zadeh, A. (2015). Predicting overall survivability in comorbidity of cancers: A data mining approach. Decision Support Systems74, 150-161.

Zadeh, A, and R. Sharda (2015). Hawkes Point Processes for Social Media Analytics. Reshaping Society through Analytics, Collaboration, and Decision Support. Annals of Information Systems Springer International Publishing, 51-66.

Zadeh, A. and R. Sharda (2014). Modeling brand post popularity dynamics in online social networks. Decision Support Systems 65(0): 59-68.

Zadeh, A., Afshari, H., & Ramazani Khorshid-Doust, R. (2014). Integration of process planning and production planning and control in cellular manufacturing. Production Planning & Control, 25(10), 840-857

Maleki, H., & Zadeh, A. (2012). Comparison of the REMBRANDT system with the Wang and Elhag approach: A practical example of the rank reversal problem. African Journal of Business Management, 6(1), 459-473.

Zadeh, A., Maleki H., Fathi, M., Kianfar K. (2010) Catalog Segmentation by Implementing Fuzzy Clustering and Mathematical Programming Model, Advances in Intelligent and Soft Computing series of Springer, Vol. 73, 161-169.

Zadeh, A., Blankenburg, R., & Graeber, P. W. (2012). Consideration of parameters and boundary conditions uncertainties in water balance and solute transport simulation. IAHS-AISH publication, 85-92.

Zadeh, A., Afshari, H., Salehi, S., Fathi, M., Zadeh, A. H., Borna, M. A., & Timar, M., (2011) Eco-efficiency Measurement by Implementing DEA Models with Weight Restrictions, Advances in Intelligent and Soft Computing series of Springer, Vol. 87, 309-318.

Golmohammadi, V., Afshari, H., Hasanzadeh, A., & Rahimi, M. (2010). A heuristic approach for designing a distribution network in a supply chain system. Afr. J. Bus. Manage, 4(3), 308-311.

PRESENTATIONS GIVEN

Zadeh, A. H., (2022), Characterizing Data Breach Severity: An Analytics View of Data Breaches over Time, 19th Annual Ohio Information Security Conference, Dayton, OH

Zadeh, A. H., (2020) “Text Analytics for Sports Fan Engagement in Social Media.” 26th Americas Conference of Information Systems.

Zadeh, A. H., & Bruce, S. (2019) “Wearable Technology and Data Science for Injury Prediction in Sports.” 25th Americas Conference of Information Systems, Cancun Mexico.

Alsabi, A, H. Zadeh, A, Ramirez Vick, J., Nosoudi, N (2019) “Characterizing Basal-like Triple Negative Breast Cancer using Gene Expression Analysis: A Data Mining Approach. Experimental biology Conference, Orlando, FL, Abstract available in FASEB Journal, 33, 777-1.

Zadeh, A., & Sharda, R. (2018) “Predicting Brand Post Popularity in Online Social Networks: An Ex-Ante Approach.” 24rd Americas Conference of Information Systems, New Orleans, US.

Zadeh, A. H., Akinyemi, B., Jeyaraj, A., (2017) Cloud ERP Systems for Small-and-Medium Enterprises: a Case Study in the Food Industry, 48rd Decision Science Institute Annual Conference, Washington D.C., US.

Zadeh, A., Jeyaraj, A., Zolbanin, H., Asamoah, D., (2017) Should An Organization’s Strategic and Social Media Orientations Align? A Text Mining Approach,   23rd Americas Conference of Information Systems, Boston, US.

Kalgotra, P., Asamoah, D., Sharda, R., Zadeh, A., (2016) Preparing a Big Data Analytics Professional: A Pedagogic Experience, DSI Annual Meeting in Austin, TX, US.

Sharda, R., Asamoah, D., Zadeh, A., Kalgotra, P., (2015) Teaching a Big Data Analytics Class in MIS Programs, Business Analytics (BA) Congress (Pre-ICIS), SIGDSA & International Conference on Information Systems (ICIS), "", Fort Worth, TX, US

Zadeh, A., Zolbanin, H. M., Sharda, R., Delen, D., (2015), Social Media for Nowcasting the Flu Activity: Spatial-Temporal and Text Analysis, Business Analytics Congress, Pre-ICIS Conference, Fort Worth, TX, US.

Zadeh, A., Sharda, R., A Demonstration of Social Media-based Surveillance Systems with Big Data Tools, Business Analytics (BA) Congress (Pre-ICIS), SIGDSA & International Conference on Information Systems (ICIS), (2015). Fort Worth, TX, US.

Zadeh, A., Sharda, R., (2014). A Point Process Framework for Item-to-Item Collaborative Recommender Systems, 45rd Decision Science Institute Annual Conference, Tampa, FL, US.

Zadeh, A., Sharda, R., (2014), Hawkes Point Process as a Big Data Analytics Tool for Brand Social Media Management, INFORMS meeting, San Francisco, CA, US.

Zadeh, A., Sharda, R., (2013), Modeling brand post popularity in online social networks, Big XII symposium, Stillwater, OK, US.

Zadeh, A., Sharda, R., (2014). A Point Process Framework for Item-to-Item Collaborative Recommender Systems, 45rd Decision Science Institute Annual Conference, Tampa, FL, US.

Zadeh, A., Sharda, R., (2014), Hawkes Point Process as a Big Data Analytics Tool for Brand Social Media Management, INFORMS meeting, San Francisco, CA, US.

Zadeh, A., Sharda, R., (2012), Modeling brand post popularity dynamics on online social networks, 43rd Decision Science Institute Annual Conference, San Francisco, CA, US.

Zadeh, A., Kasiri. N., (2012). Inventory record inaccuracy due to theft in production-inventory systems, 43rd Decision Science Institute Annual Conference, San Francisco, CA, US.

Zadeh A., Sharda, R., (2012). Inventory record inaccuracy due to theft in production-inventory systems, Big XII symposium, Dallas, TX, US.

 

CONFERENCE PROCEEDINGS & POSTERS

Zadeh, A., Schiller, S., Duffy, K., (2016) “Teaching Analytics: A Demonstration of Association Discovery with SAS Enterprise Miner”, 22nd Americas Conference of Information Systems, San Diego, CA, US.

Zadeh, A., Zolbanin, H. M., Sharda, R., Delen, D., (2015) “Social Media for Nowcasting the Flu Activity: Spatial-Temporal and Text Analysis”, Business Analytics Congress, Pre-ICIS Conference, Fort Worth, TX, US. (BEST PAPER AWARD RECIPIENT)

Zadeh, A., Sharda, R., Business Analytics (BA) Congress (Pre-ICIS), SIGDSA & International Conference on Information Systems (ICIS), (2015) “A Demonstration of Social Media-based Surveillance Systems with Big Data Tools". Fort Worth, TX, US.

Zadeh, A., Zolbanin, H. M., Sharda, R., Delen, D., (2015) Investigating the Temporal-Spatial Cross-Correlation between the Flu Activity on Twitter and Clinical Health Records, INFORMS Healthcare Conference, Nashville, TN, US.

Zadeh, A., Sharda, R., (2014). A Point Process Framework for Item-to-Item Collaborative Recommender Systems. 45rd Decision Science Institute Annual Conference, Tampa, FL, US.

Zadeh, A., Sharda, R., (2014). Hawkes Point Process as a Big Data Analytics Tool for Brand Social Media Management, INFORMS meeting, San Francisco, CA, US.

Zadeh, A., Sharda, R., (2013). A point process framework for understanding the dynamics of popularity of content in online social networks, SIGDSS 2013 Pre-ICIS, Milan, Italy.

Zadeh, A., Sharda, R., (2013). Modeling brand post popularity in online social networks, Big XII symposium, Stillwater, OK, US.

Zadeh, A., Sharda, R., (2012). Modeling brand post popularity dynamics on online social networks, 43rd Decision Science Institute Annual Conference, San Francisco, CA, US.

Zadeh, A., Sharda, R., (2012). Optimizing a cloud-based service design using social media, INFORMS meeting, Phoenix, AZ, US.

Zadeh, A., Kasiri. N., (2012). Inventory record inaccuracy due to theft in production-inventory systems, 43rd Decision Science Institute Annual Conference, San Francisco, CA, US.

Zadeh A., Sharda, R., (2012). Inventory record inaccuracy due to theft in production-inventory systems, Big XII symposium, Dallas, TX, US.

Zadeh, A., Sharda, R., Mathur, S. (2012). Effect of daily aspirin use on the incidence of sporadic colorectal adenomas at first screening colonoscopy in a west Texas population. Program No. P308. American College of Gastroenterology (ACG) Las Vegas, NV.

Blankenburg, R., Zadeh, A., Graeber, P. W., (2011) Consideration of Parameters and Boundary Conditions Uncertainties in Water Balance and Solute Transport Simulation, Modelcare, Leipzig, Germany.

Zadeh, A., Maleki, H., Kianfar, K., Fathi, M., & Zaeri, M. S. (2010). Catalog Segmentation by Implementing Fuzzy Clustering and Mathematical Programming Model. In Soft Computing Models in Industrial and Environmental Applications, 5th International Workshop (SOCO 2010) (pp. 161-169). Springer Berlin Heidelberg.

Fathi, M., Hasanzadeh, A., Raad, A., Dehghanian, F., & Mansour, S. (2009). Using compromised method in design of reverse logistics network with eco-efficiency consideration. In Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on (pp. 1454-1458). IEEE.

Fathi, M., Kianfar, K., Hasanzadeh, A., & Sadeghi, A. (2009). Customer fuzzy clustering and catalog segmentation in customer relationship management. In Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on (pp. 1234-1238). IEEE.

Kianfar, K., Fathi, M., Hasanzadeh, A., & Sadeghi, A. (2009). Catalog segmentation with the objective of satisfying customer requirements in minimum number of catalog. In Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on (pp. 1253-1257). IEEE.

Hasanzadeh, A., Afshari, H., Kianfar, K., Fathi, M., & Jadid, A. O. (2009). A GRASP algorithm for the two-machine flow-shop problem with weighted late work criterion and common due date. In Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on (pp. 1930-1934). IEEE.

Nosratpour, N., Maleki, H., Salehi, S., Nosoudi, N., & Zadeh, A. (2010). Dynamic model of strategic alliances formation in fabric industries. In Education and Management Technology (ICEMT), 2010 International Conference on (pp. 387-390). IEEE.

Hasanzadeh, A., Moghadardoust, O., & Fathi, M. (2009). Developing a model for integrating process planning and production planning and control in cellular manufacturing. In Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on (pp. 179-183). IEEE.

Hasanzadeh, A., Moghadardoost, O. (2007). A System Dynamics Model for Strategic Alliances Establishment in Textile Industries. Ninth Annual Industrial Engineering Conference, Amirkabir University of Technology

Service

Editorial and Review Activities

Editorial Review Board

  • International Journal of Intelligent Information Technologies
  • Frontiers in Artificial Intelligence, section AI in Business
  • Journal of Business Analytics
  • E-service Journal
  • Journal of Information Systems Education

Reviewer

  • Decision Support Systems
  • Information and Management 
  • Information Systems Journal 
  • Information Systems Frontier
  • Journal of Business Research
  • Journal of Business Analytics 
  • Information Sciences Journal
  • Journal of Information, Knowledge and Management
  • Conferences such as DSI, ICIS, AMCIS, SigDSA

Teaching & Prototype Track Co-chair, AIS Special Interest Group on Decision Support and Analytics (SIGDSA),

2021 Pre-ICIS SIGDSA, Austin, TX

https://preicissigdsa2021.wordpress.com/

Marketing, Communication & Technology Co-Chair, AIS Special Interest Group on Decision Support and Analytics (SIGDSA),

2021 Pre-ICIS SIGDSA, Austin, TX

https://preicissigdsa2021.wordpress.com/

2020 Pre-ICIS SIGDSA, Virtual

https://preicissigdsa2020.wordpress.com/

2019 Pre-ICIS SIGDSA, Munich, Germany

https://sigdsapreicis2019.wordpress.com

2018 Pre-ICIS SIGDSA, San Francisco, CA

https://preicis2018sigdsa.wordpress.com/

2017 Pre-ICIS SIGDSA, Seoul South Korea

https://preicis2017sigdsa.wordpress.com/

2016 Pre-ICIS SIGDSA, Dublin, Ireland

https://preicis2016sigdsa.wordpress.com/

 

Professional Affiliations/Memberships

  • Association for Information Systems (AIS)
  • Decision Sciences Institute (DSI)
  • Institute for Operations Research and Management Science (INFORMS)
  • Special Interest Group on Decision Support and Analytics (SIGDSA)
Is this you? Log in to update your profile.