Hamidreza Ahady Dolatsara

Assistant Professor, School of Business

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

School of Business

Scholarly and creative works

  • Presentations

    An application of Generative AI for fraud detection in Crypto Currency projects

    Hawaii International Conference on System Sciences (HICSS)
    2026
    Hamidreza Ahady Dolatsara, Ramona Jaberian
  • Article in Refereed Journal

    Application of genrative AI in enriching train datsets for text mining projects

    Decision Supports Systems
    2025
    Hamidreza Ahady Dolatsara, Ramona Jaberian
  • Article in Refereed Journal

    An analytical approach for investigating long-term financial wellbeing of companies

    Business Venturing
    2024
    Hamidreza Ahady Dolatsara, Ashish Gupta
  • Article in Refereed Journal

    Explaining predictive model performance: An experimental study of data preparation and model choice

    Big Data
    2023
    Vol. 11
    Issue #3
    Dolatsara, Hamidreza Ahady, Ying-Ju Chen, Robert D Leonard, Fadel M Megahed, L Allison Jones-Farmer
  • Presentations

    Success of Initial Coin Offerings (ICOs)

    ICTIMESH 2023
    Dubai, Emirates
    December
    2023
    Hamidreza Ahady Dolatsara, Ramona Jaberian
  • Other Scholarly or Creative Work

    A DEA And Machine Learning Based Platform for Investigating Success of Initial Coin Offerings (ICOs) 

    Elsevier
    Hamidreza Ahady Dolatsara, Ramona Jaberian
  • Presentations

    An Analytical View On Applications Of Blockchain In Business

    INFORMS Annual meeting
    Indianapolis
    October
    2022
    Sponsored by INFORMS
    Hamidreza Ahady Dolatsara
  • Article in Refereed Journal

    An Interpretable Decision-Support Systems for Daily Cryptocurrency Trading

    Expert Systems With Applications
    2022
    Vol. 203
    Hamidreza Ahady Dolatsara, Eyyub Kibis, Ali Dag, Musa Calgar, Gelareh Ahadi Dolatsara, Dursun Delen
  • Article in Refereed Journal

    Evaluating the Effect of Newly Added Variables to Predictability of Heart Transplant Survival Outcome

    Business Analytics
    2022
    Hamidreza Ahady Dolatsara, Ali Dag, Ugur Kucukc, Fadel M Megahed, Joseph Ekong
  • Article in Refereed Journal

    Going Beyond Intent to Adopt Blockchain – An Analytics Approach to Understand Board Member and Financial Health Characteristics

    Annals of Operations Research
    2021
    Hamidreza Ahady Dolatsara, Alireza Farnoush, Ashish Gupta, David Paradice
  • Article in Refereed Journal

    Predicting hotel reviews from sentiment: a multinomial classification

    Modeling in Management
    2021
    Hamidreza Ahady Dolatsara, Ali Dag, Musa Caglar, Ahmet Yucel, Benjamin George
  • Presentations

    Investigating Potential Bias And Discrimination In The Development Of A Typical AI Platform For Heart Transplantation

    INFORMS Conference
    Virtual
    Nov.
    2020
    Hamidreza Ahady Dolatsara, Shuyu Zhang, Zejian Wu, Yan Shi, Chenhao You
  • Article in Refereed Journal

    A two-stage machine learning framework to predict heart transplantation survival probabilities over time with a monotonic probability constraint

    Decision Support Systems
    2020
    Vol. 137
    Hamidreza Ahady Dolatsara, Fadel Megahed, Ying-Ju Chen, Ashish Gupta, Christy Evans
  • Article in Refereed Journal

    AHP Decision Making Algorithm for Development of HVDC and EHVAC in Developing Countries

    European Journal of Electrical Engineering and Computer Science
    2020
    Vol. 4
    Issue #3
    Hamidreza Ahady Dolatsara, Ali Aranizadeh, Mehrzad Kazemi, Homayoun Barahmandpour
  • Article in Refereed Journal

    Machine learning Clustering Algorithms Based on the DEA Optimization Approach for Banking System in Developing Countries

    European Journal of Engineering Research and Science
    2020
    Vol. 5
    Issue #6
    Hamidreza Ahady Dolatsara, Mirpouya Mirmozaffari, Azam Boskabadi, Gohar Azeem, Reza Massah, Elahe Boskabadi, Ata Liravian
  • Article in Refereed Journal

    A novel machine learning approach combined with optimization models for eco-efficiency evaluation

    Applied Sciences
    2020
    Vol. 10
    Issue #15
    Hamidreza Ahady Dolatsara, Mirpouya Mirmozaffari, Maziar Yazdani, Azam Boskabadi, Kamyar Kabirifar, Noorbakhsh Amiri Golilarz
  • Article in Refereed Journal

    Optimized wavelet-based satellite image de-noising with multi-population differential evolution-assisted harris hawks optimization algorithm

    IEEE Access
    2020
    Vol. 8
    Hamidreza Ahady Dolatsara, Noorbakhsh Amiri Golilarz, Mirpouya Mirmozaffari, Tayyebeh Asgari Gashteroodkhani, Liaqat Ali, Azam Boskabadi, Mohammad Yazdi
  • Presentations

    Current Challenges in Development of a Survival Analysis Data Mining Study

    INFORMS Conference
    Seattle
    October
    2019
    Hamidreza Ahady Dolatsara, Fadel Megahed, Ying-Ju Chen
  • Presentations

    Improving Non-monotonicity Issues in Predicting Survival Probability of Transplant Patients (INFORMS Conference presentation, Phoenix-USA, 2018)

    INFORMS Conference
    2018
    Hamidreza Ahady Dolatsara
  • Article in Refereed Journal

    Analysis of Influential Range for Intersection Crashes

    Journal of the Eastern Asia Society for Transportation Studies
    2017
    Vol. 12
    Hamidreza Ahady Dolatsara, Jun-Seok Oh, Valerian Kwigizile

Awards and grants

  • DataHop Conference

    Knime company

    clock icon Oct. 30, 2024 – Oct. 30, 2024
  • A Collaborative Research on House Market

    Clark University – Faculty Development Fund

  • Blockchain & Cryptocurrency Course

    Clark University – Academic Innovation Fund

  • Business Edge Technologies Lab

    Clark University – Academic Innovation Fund award