Maryam Zokaeinikoo is an Assistant Professor of Operations Management at Case Western Reserve University’s Weatherhead School of Management (WSOM). Prior to joining WSOM, she was a Clinical Assistant Professor at Pennsylvania State University's Smeal College of Business, and prior to that, she worked at the Cleveland Clinic’s Lerner Institute as a Research Fellow. Dr. Zokaeinikoo obtained a Ph.D. in Industrial and Manufacturing Engineering from The Pennsylvania State University in 2020.
Dr. Zokaeinikoo specializes in artificial intelligence (AI), machine learning (ML), and deep learning (DL), with a focus on natural language processing (NLP) and large language models (LLM). She is interested in applications of ML/AI in various areas including finance and healthcare. For example, she has previously developed cutting-edge AI models for the diagnosis and prediction of Alzheimer’s disease, COVID-19, and osteoarthritis. Dr. Zokaeinikoo’s research works have been published in top scientific journals.
At Weatherhead School of Management, Dr. Zokaeinikoo has developed and taught data mining, data visualization, and statistics courses that include hands-on projects, significantly enhancing student engagement and learning outcomes. Her mentorship has guided many students to successful careers in top tech companies.
Initially Appointed: 2021
Teaching Information
Teaching Interests
Courses Taught
- Data Mining and Visualization
- Statistics for Business and Management Science I
Publications
1. "Interpretable Hierarchical Deep Learning Model for Noninvasive Alzheimer’s Disease Diagnosis," INFORMS Journal on Data Science, 2023.
2. "The KNee OsteoArthritis Prediction (KNOAP2020) Challenge: An Image Analysis Challenge to Predict Knee Osteoarthritis from MRI and X-ray Images," Osteoarthritis and Cartilage, 2023.
3. "AIDCOV: An Interpretable AI Model for Detection of COVID-19 from Chest Radiography Images," ACM Transactions on Management Information Systems, 2021.
4. "Automatic EEG Classification: A Path to Smart and Connected Sleep Interventions," Annals of Operations Research, 2019.