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Personal profile

University profile

Dr. Marina Johnson is an Assistant Professor in the Feliciano School of Business at Montclair State University. Dr. Johnson completed her Ph.D. at The State University of New York, Binghamton. During her Ph.D., she focused on machine learning, data mining, and metaheuristic optimization.

Before becoming an academic, Dr. Johnson has worked in various companies in the industry including Hugo Boss, and Comcast - NBC Universal. During her industry experience, she extensively used optimization, simulation, and predictive modeling tools.

Dr. Johnson also held a faculty position at the University of Dayton (UD), where she became the program coordinator of the Quality Management Minor. At the UD, Professor Johnson collaborated with other researchers across the campus on several grants.

Dr. Johnson's research interests lie in the area of applications of machine learning and optimization, ranging from marketing analytics to health informatics.

Using active learning and entrepreneurial mindset learning principles, Dr. Johnson continuously explores educational technology tools to increase student learning outcomes.

Research interests

Applications of machine learning and optimization, ranging from marketing analytics to health informatics

Scholarly Interests

Machine Learning,
Metaheuristic Optimization,
Data Mining,
Data Science,
Business Analytics

Faculty/Media Expert

Expert on machine learning, artificial intelligence, big data analytics and the healthcare industry, statistical data mining and computational optimization.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 8 - Decent Work and Economic Growth


Dive into the research topics where Marina Johnson is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years

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