Jose Cruz

Associate Dean at UCONN - University of Connecticut

Biography

UCONN - University of Connecticut

Education/Professional Certification

  • Ph.D., University of Massachusetts, Amherst
  • M.B.A., University of Massachusetts, Amherst
  • M.S., University of Massachusetts, Amherst
  • B.S., University of Massachusetts, Amherst

Areas of Expertise

  • Supply Chain Management
  • Corporate Social Responsibility & Sustainability
  • Networks Economics
  • Systems Dynamics
  • Project Management
  • Business Analytics

Dr. Cruz is an Associate Professor of Operations and Information Management and Associate Dean for Graduate Programs. Dr. Cruz’s teaching interests are in Operations Management, Operations Research, Business Analytics, and Project Management. His research is multidisciplinary and combines his background and interests in management, engineering, computer systems, and applied mathematics. His general area is complex decision-making on network systems with a specific focus on global issues. He is especially interested in supply chain management, corporate social responsibility , sustainability , relationships and risk management. The methodological tools that he utilizes are: variational inequalities, dynamical systems, network theory, multicriteria decision-making, and optimization. Dr. Cruz has published his research in European Journal of Operational Research, Naval Research Logistics, Decision Support Systems, International Journal of Production Research, International Journal of Production Economics, Environment & Planning B, Journal of Cleaner Production, Mathematical and Computer Modelling, Computational Management Science, and Quantitative Finance. He has received the School of Business Ackerman Scholarship Award ( two times), Outstanding Graduate Teaching Award, Outstanding Undergraduate Teaching Award, and Distinguished Service Award. He is the recipient of the 2019 UConn-AAUP Excellence Award: Service Excellence.

Dr. Cruz teaches Managerial Statistics, Operations Management, Predictive Modeling, Data Mining, Project Risk and Cost Management, and Advanced Project Management.

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