Keivan Sadeghzadeh

Keivan Sadeghzadeh, PhD

Assistant Professor

Decision & Information Sciences

508-910-6910

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Charlton College of Business 307


Education

2015Northeastern UniversityPhD
2008Sharif University of TechnologyMS
2001Iran University of Science and TechnologyBS

Teaching

Courses

Design, development, direction, and distribution methods used to deliver goods and services. Topics covered include operations strategy and the management of quality, inventory, supply, capacity and demand, and others. Conceptual, analytical, and quantitative techniques are taught to improve the efficiency and effectiveness of transformation processes in organizations.

Design, development, direction, and distribution methods used to deliver goods and services. Topics covered include operations strategy and the management of quality, inventory, supply, capacity and demand, and others. Conceptual, analytical, and quantitative techniques are taught to improve the efficiency and effectiveness of transformation processes in organizations.

Design, development, direction, and distribution methods used to deliver goods and services. Topics covered include operations strategy and the management of quality, inventory, supply, capacity and demand, and others. Conceptual, analytical, and quantitative techniques are taught to improve the efficiency and effectiveness of transformation processes in organizations.

Design, development, direction, and distribution methods used to deliver goods and services. Topics covered include operations strategy and the management of quality, inventory, supply, capacity and demand, and others. Conceptual, analytical, and quantitative techniques are taught to improve the efficiency and effectiveness of transformation processes in organizations.

Design, development, direction, and distribution methods used to deliver goods and services. Topics covered include operations strategy and the management of quality, inventory, supply, capacity and demand, and others. Conceptual, analytical, and quantitative techniques are taught to improve the efficiency and effectiveness of transformation processes in organizations.

Principles and practices underlying the continuous improvement of quality in organizations. Students will be introduced to the concept of total quality management and learn to appreciate the importance of quality as a competitive strategy. Particular attention is given to philosophies and methods of organizing for quality and to quality improvement tools, including statistical process control.

Principles and practices underlying the continuous improvement of quality in organizations. Students will be introduced to the concept of total quality management and learn to appreciate the importance of quality as a competitive strategy. Particular attention is given to philosophies and methods of organizing for quality and to quality improvement tools, including statistical process control.

Service operations and contemporary policy issues related to health care. Health care spending and costs, quality of care delivered, use of health information technology and other topics affecting the efficiency and effectiveness of health care are examined from a multidisciplinary perspective that embraces both business and policy disciplines. Operational, financial, and system concerns are covered in the course.

Service operations and contemporary policy issues related to health care. Health care spending and costs, quality of care delivered, use of health information technology and other topics affecting the efficiency and effectiveness of health care are examined from a multidisciplinary perspective that embraces both business and policy disciplines. Operational, financial, and system concerns are covered in the course.

Research

Research Interests

  • Advanced Decision Analytics
  • Healthcare Operations Management
  • Risk and Failure-Time Data Analysis
  • Quality and Reliability Management

Dr. Keivan Sadeghzadeh is an Assistant Professor of Operations Management in the Charlton College of Business at the University of Massachusetts Dartmouth. Prior to this position, he was a Postdoctoral Researcher at Massachusetts Institute of Technology (MIT) Sloan School of Management. He is interested in the application of statistics and knowledge discovery systems, as they pertain to operations management, particularly in quality and reliability, decision analytics, and healthcare systems. His primary research is focused on the development of interpretable and robust machine learning models as well as quantitative and applied decision-making methods for performing operational risk and failure analysis. Dr. Sadeghzadeh is the recipient of the American Statistical Association 2015 Natrella Scholarship Award.

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