Hamidreza Ahady Dolatsara
Assistant Professor, School of Business
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Hamidreza (Hamid) Ahady Dolatsara is awarded his Ph.D. degree from Auburn University. He is a data scientist with research interests in health care analytics, finance, and transportation. Using data-driven studies, he employs and improves state-of-the-art, machine learning-based approaches to developing decision-support systems. As one example, he investigated the long-term financial well-being of companies and their association with the adoption of block-chain technology. Ahady Dolatsara is keen on exploring new ideas that will have a positive impact on society.
Degrees
- Ph.D. in Industrial & Systems Engineering, Auburn University, 2019
- M.S. in Information Systems Management, Auburn University, 2019
- M.Eng. in Industrial & Systems Engineering, Auburn University, 2015
- M.S. in Civil-Transportation Engineering, West Michigan University, 2014
- B.S. in Railroad Operation and Management Engineering, IUST, 2008
Affiliated Department(s)
- School of Business
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Scholarly and Creative Works
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Success of Initial Coin Offerings (ICOs)
ICTIMESH 2023
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Dubai, Emirates
December
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2023
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A DEA And Machine Learning Based Platform for Investigating Success of Initial Coin Offerings (ICOs)
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2023
Elsevier
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Explaining predictive model performance: An experimental study of data preparation and model choice
Published in Big Data
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2023
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Vol. 11
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Issue #3
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An Analytical View On Applications Of Blockchain In Business
INFORMS Annual meeting
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Indianapolis
October
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2022
Sponsored by INFORMS
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Biased In Healthcare Analytics Ai Based Frameworks
INFORMS Annual Meeting
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Indianapolis
October
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2022
Sponsored by INFORMS
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Cryptocurrency Fraud Detection
INFORMS Annual meeting
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Indianapolis
October
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2022
Sponsored by INFORMS
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Evaluating the Effect of Newly Added Variables to Predictability of Heart Transplant Survival Outcome
Published in Business Analytics
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2022
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An Interpretable Decision-Support Systems for Daily Cryptocurrency Trading
Published in Expert Systems With Applications
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2022
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Vol. 203
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Predicting hotel reviews from sentiment: a multinomial classification
Published in Modeling in Management
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2021
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An analytical approach for investigating long-term financial wellbeing of companies
Published in Business Venturing
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2021
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Going Beyond Intent to Adopt Blockchain – An Analytics Approach to Understand Board Member and Financial Health Characteristics
Published in Annals of Operations Research
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2021
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Investigating Potential Bias And Discrimination In The Development Of A Typical AI Platform For Heart Transplantation
INFORMS Conference
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Virtual
Nov.
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2020
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Optimized wavelet-based satellite image de-noising with multi-population differential evolution-assisted harris hawks optimization algorithm
Published in IEEE Access
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2020
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Vol. 8
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A novel machine learning approach combined with optimization models for eco-efficiency evaluation
Published in Applied Sciences
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2020
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Vol. 10
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Issue #15
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Published in European Journal of Engineering Research and Science
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2020
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Vol. 5
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Issue #6
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AHP Decision Making Algorithm for Development of HVDC and EHVAC in Developing Countries
Published in European Journal of Electrical Engineering and Computer Science
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2020
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Vol. 4
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Issue #3
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Published in Decision Support Systems
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2020
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Vol. 137
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Current Challenges in Development of a Survival Analysis Data Mining Study
INFORMS Conference
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Seattle
October
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2019
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Improving Non-monotonicity Issues in Predicting Survival Probability of Transplant Patients (INFORMS Conference presentation, Phoenix-USA, 2018)
INFORMS Conference
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2018
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Analysis of Influential Range for Intersection Crashes
Published in Journal of the Eastern Asia Society for Transportation Studies
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2017
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Vol. 12
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Awards & Grants
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A Collaborative Research on House Market
Clark University - Faculty Development Fund
Feb. 24, 2022
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Blockchain & Cryptocurrency Course
Clark University - Academic Innovation Fund
Dec. 26, 2021
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Business Edge Technologies Lab
Clark University - Academic Innovation Fund award
Dec. 20, 2021
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