Research
Here's a link to my CV.
Here's a link to my ORCID & Google Scholar
Research Objective - Solving problems at the intersection of Economics, Operations Management and Information Technology & Systems. I use the following research methods:
Microeconomics & Game Theory.
Mechanism Design for Social Good.
Machine Learning:
Supervised Learning Models - Linear & Logistic Regression, Neural Networks, Decision Trees.
Nature Inspired Algorithms e.g. - Genetic & Memetic Algorithms, Ant Colony Optimization, Particle Swarm Optimization
Learning on Graphical Models & Causal Inference
Research Interests:
Digital Economy - Theoretical & Empirical implications of digital goods and services.
Decentralized Economy arising out of Blockchain Technologies.
Combinatorial Optimization problems in real world applications, e.g - Combinatorial Auctions, Resource Allocation.
Economic applications of Machine Learning.
Publications (Journal):
Ray, A., Ventresca, M. and Kannan, K., 2021. A Graph-Based Ant Algorithm for the Winner Determination Problem in Combinatorial Auctions. Information Systems Research. DOI: https://doi.org/10.1287/isre.2021.1031
Ray, A., Arora, V., Maass, K. & Ventresca, M., 2024 Optimal Resource Allocation to Minimize Errors When Detecting Human Trafficking, IISE Transactions, DOI: 10.1080/24725854.2023.2177364
Media Mentions: FastCompany, TechXlplore, TechNewsBoy, NewsAZI
Ray, A., Ghasemkhani, H., Martinelli, C., 2024 "Competition and Cognition in the Market for Online News", Journal of Management Information Systems DOI: https://doi.org/10.1080/07421222.2024.2340824
Media Mentions: Phys.org
Book Chapter:
Chong, B., Ray, A., Ventresca, M. "Automated Mechanism Design for Complex Systems" In Encyclopedia of Optimization (eds. Panos Pardalos & Oleg Prokopyev). DOI: https://doi.org/10.1007/978-3-030-54621-2_824-1 .
Publications (Conference):
Ray, A., Ghasemkhani, H. “Engagement by Enragement: The Economics of Online News” Workshop on e-Business (WeB), Copenhagen, Denmark, December 2022. (Nominated for the Best Paper Award)
Ray, A., Raj, C., Purohit, H. “Factual vs. Non-Factual Awareness During Emergency Response on Social Media” INFORMS Annual Conference, Indianapolis, October 2022.
Chen, M., Kumar, S. and Ray, A. “Carrot or Stick? An Economic Analysis of Online Ad Fraud Deterrence” Workshop on Information Technologies and Systems (WITS 2021) , Austin, Texas, December 2021.
Chen, M., Kumar, S. and Ray, A. “Carrot or Stick? An Economic Analysis of Online Ad Fraud Deterrence” The 3rd China Workshop on Economics of Information Systems Theory (CWEIST 2021) , Beijing, China, July 2021.
Ray, A., Ventresca, M. and Wan, H., 2018, July. A mechanism design approach to blockchain protocols. In 2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) (pp. 1603-1608). IEEE.
Ray, A. and Ventresca, M., 2018, April. An Ant Colony Approach for the Winner Determination Problem. In European Conference on Evolutionary Computation in Combinatorial Optimization (pp. 174-188). Springer, Cham.
Ray, A., Ghasemkhani, H. and Kannan, K.N., 2017. Ad-blockers, Advertisers, and Internet: The economic implications of ad-blocker platforms. In International Conference on Information Systems, AIS.
Presented at ICIS, CIST 2017 & INFORMS 2017. (Nominated for Best Paper at ICIS 2017 - Proceedings at ICIS 2017)
Earlier versions presented at INFORMS 2016, POMS 2017.
Working Papers:
Chen, M., Kumar, S. and Ray, A. “Carrot or Stick? An Economic Analysis of Online Ad Fraud Deterrence” (Revise & Resubmit at Management Science)
Ray, A., Raj, C., Purohit, H. "Factual Awareness on Social Networks: A Dependent Cascades Approach" (targeted at IEEE TkDE)