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Mohammad Mosaffa

As a Ph.D. student in Quantitative Marketing at the Johnson Business School of Cornell University, I am passionate about applying machine learning techniques to analyze unstructured data, such as text and images, and uncover insights that can inform marketing decisions and strategies. I am currently working as a graduate research assistant at Cornell, where I am involved in a research project on facial expression recognition using computer vision methods, and exploring its potential applications in the field of marketing. Prior to joining Cornell, I completed a Master of Science in Mathematics from the University of British Columbia, where I focused on the utilization of deep learning algorithms for predicting waiting times in service and healthcare systems. I demonstrated the value of textual data in enhancing prediction accuracy published my findings in a peer-reviewed journal, and received the third-best research paper award at the POMS International Conference 2022. I also hold a Bachelor of Science in Industrial Engineering from Tehran Polytechnic, where I developed an innovative task allocation method for service systems, using a combination of tree-based ensemble classifiers. My core competencies include statistical data analysis, computer vision, machine learning, and text mining.
Living in : United States of America (USA)
Gender : MaleRace : Middle Eastern
Academic Profile
Posts

Contact Information

-Email
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Mohammad_MosaffaApplyChance Link

Educations

Cornell University logo
Business Administration/ManagementPhDCornell University2028-08-01 United States of America (USA)
Title :
Image Polarization in Marketing
University of British Columbia (UBC) logo
MathematicsMaster'sUniversity of British Columbia (UBC)2023-01-01 Canada
Supervisor's name :Prof. Tavakoli
Title :
Thesis: The value of text for waiting time prediction using deep learning : a repair shop case study
Amirkabir University of Technology logo
Industrial EngineeringBachelor'sAmirkabir University of Technology2021-09-01 Iran
Supervisor's name :Dr. Amir Ahmadi Javid
Title :
"An online optimization model to job allocating to technicians, based on the random distribution and combination with the Machine Learning approach

Work Experiences

Teaching Assistant (Linear Algebra)
at Amir Kabir University of Technology
Start : 01-Feb-2020
End : 01-Nov-2020
Teaching Assistant
at Amir Kabir University of Technology (Economics Engineering)
Start : 01-Oct-2019
End : 16-Nov-2020
Data and Operation Analyst
at Ofoogh (IRAN FSO)
Start : 01-Aug-2019
End : 01-Jun-2021
Teaching Assistant (Statistical Quality Control)
at Amir Kabir University of Technology
Start : 01-Feb-2021
End : 15-Jul-2021
Research Assistant
at Amir Kabir University of Technology
Start : 01-Aug-2019
End : 01-Sep-2021
Teaching Assistant
at UBC
I am currently working in this role
Research Assistant
at UBC
I am currently working in this role

English Scores

GRE General12-Jun-2022
328/340Total
Verbal Reasoning :
158/170
Quantitative Reasoning :
170/170
Analytical Writing :
3/6

Conferences

Your Presentation Title :
The Value of Text for Waiting Time Prediction: A Repair Shop Case Study
Conference Name :POMS International Conference
India
2022

Journal Publications

Publication Title :
Integration of text-mining and telemedicine appointment optimizationSecond author
Journal :
Annals of Operations Research
Link :

Research Keywords

Machine Learning
Data Analysis
Optmization

Awards

Graduate Dean’s Entrance Scholarship3000$2022-01-01
Fully funded graduate studentMaster Student at UBC2022-01-01
Scholarship4000$2022-09-01
Travel Grant2000$2022-10-14