Craig School of Business
Maryam Maleki
Assistant Professor
Management | 559.278.4954 | Office: PB211
Education
M.S., Industrial and Systems Engineering, Tehran, Iran, 2016
B.S., Electronic Engineering, Tehran, Iram, 2005
Courses Taught
- Visiting Assistant Professor, Management Department, Craig School of Business, California State University, Fresno. Instructor of course "Operations management" (August 2022-present)
- Instructor, some sessions of "Machine Learning," "Combinatorial Optimization," and "Decision making" courses, Donaghey College of Science, Technology, Engineering, and Mathematics, University of Arkansas at Little Rock (2018-2022)
- Research Assistant, Systems engineering, Fields: social data analysis, data visualization, machine learning, mathematical modeling, and statistical analysis, University of Arkansas at Little Rock (2018-2022)
- Quality Control and Quality Assurance Expert/Manager at auto parts manufacturers, Iran (2006-2016)
- Certificate in Inclusive Instruction for Equitable Learning, Association of College and University Educators (2022)
- Exemplary doctoral research award from COSMOS (2022)
- Travel award from NSF for SBP-BRiMS, 2021, and HICSS-55 (2021)
- Graduate Student Association Travel award from UALR for Chan Wui & Yunyin workshop in Bellagio, Italy (2019)
Programming languages and analytical techniques
Python, SQL, MATLAB, Data analysis, Data mining, Machine learning, Network analysis, NLP, Tableau, ORA, Gephi, Minitab, SPSS, SAS, Advanced MS Excel, Super decision
Quality control/assurance
SPC, MSA, ISO 9001, ISO/TS, IATF, FMEA, Process auditing, Product auditing, SQFE, SQA, Calibration, 6 Sigma, GD&T, Designing sampling plans, 8D, 5S
- Data science and data analysis
- Business Analytics
- Cybersecurity
- Mathematical modeling
- Maryam Maleki, Nitin Agarwal, "Evaluating Influence of Bots in Disseminating Opposing Viewpoints on Social Media Platforms Using Epidemiological Modeling". ACM Transactions on Social Computing (TSC) Journal (under review)
- Maryam Maleki, Mohammad Arani, Esther Mead, Joseph Kready, Nitin Agarwal, "A Comparative Evaluation of the SIR and SEIZ Epidemiological Models to Describe the Diffusion Characteristics of COVID-19 Polarizing Viewpoints on Online Social Networks" Online Social Networks and Media (OSNEM) (under review)
- Billy Spann, Esther Mead, Maryam Maleki, Nitin Agarwal, Therese Williams, "Applying Diffusion of Innovations Theory to Social Networks to Understand the Stages of Adoption in Connective Action Campaigns" Online Social Networks and Media (OSNEM) (2021)
- Maryam Maleki, Esther Mead, Mohammad Arani, Nitin Agarwal, "Measuring the Interference Effect of Bots in Disseminating Opposing Viewpoints Related to COVID-19 on Twitter Using Epidemiological Modeling", 2022 Hawai'i International Conference on System Sciences (HICSS 2022)
- Maryam Maleki, Mohammad Arani, Joseph Kready, Esther Mead, Nitin Agarwal, "Applying an Epidemiological Model to Evaluate the Propagation of Toxicity related to COVID-19 on Twitter", 2021 Hawai'i International Conference on System Sciences (HICSS 2021)
- Maryam Maleki, Mohammad Arani, Erik Buchholz, Esther Mead, Nitin Agarwal, "Applying an Epidemiological Model to Evaluate the Propagation of Misinformation and Legitimate COVID19-related Information on Twitter", 2021 International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS, 2021)
- Esther Mead, Maryam Maleki, Recep Erol, Nitin Agarwal, "Proposing a Broader Scope of Predictive Features for Modeling Refugee Counts," Companion Proceedings of the Web Conference 2021
- Billy Spann, Maryam Maleki, Esther Mead, Erik Buchholz, Nitin Agarwal, Therese Williams, "Using Diffusion of Innovations Theory to Study Connective Action Campaigns" International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation
- Maryam Maleki, Esther Mead, Mohammad Arani, Nitin Agarwal, "Using an Epidemiological Model to Study the Spread of Misinformation during the Black Lives Matter Movement," International Conference on Fake News, Social Media Manipulation and Misinformation (ICFNSMMM 2021), (2021)
- Adewale Obadimu, Esther Mead, Maryam Maleki, Nitin Agarwal, "Developing an Epidemiological Model to Study Spread of Toxicity on YouTube," 2020 International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS, 2020)
- Mohammad Arani, Saeed Abdolmaleki, Maryam Maleki, Mohsen Momenitabar, Xian Liu, "A Simulation-Optimization Technique for Service Level Analysis in Conjunction with Reorder Point Estimation and Lead-Time consideration: A Case Study in Sea Port," The 16th International Conference on Data Science (ICDATA'20) (2020)
- Maryam Maleki, Yupo Chan, Mohammad Arani, "Impact of Autonomous Vehicle Technology on Long Distance Travel Behavior," Institute of Industrial and Systems Engineers (IISE) annual conference and expo 2020
- Comparing Different Machine Learning Techniques to Predict the Number of Refugees Based on Ground Truth Data. PLoS ONE Journal
- Applying Different Epidemiological Models to Evaluate the Influence of Bots in Propagation of Toxicity on Twitter.