Dr. Arthur Carvalho

Dinesh & IIa Paliwal Innovation Chair and Assistant Professor

Department of Information Systems & Analytics

Farmer School of Business - Miami University

800 E. High St., Oxford, OH, USA, 45056

Phone: +1 513 529 7162

Email: arthur.carvalho@miamioh.edu


Dr. Arthur Carvalho is the Dinesh & Ila Paliwal Innovation Chair and an Assistant Professor of Information Systems and Analytics at Farmer School of Business, Miami University. Before joining Miami University, Dr. Carvalho worked as an Assistant Professor at Rotterdam School of Management, Erasmus University. He received his Master's of Mathematics and PhD in Computer Science from the University of Waterloo in 2010 and 2014.

Dr. Carvalho's research interests lie at the intersection of Artificial Intelligence, Information Systems, and Decision Analysis. In particular, Dr. Carvalho works on the development and deployment of artificial intelligence techniques and statistical methods as well as blockchain-based systems aiming at improving business processes and decision making. Dr. Carvalho has collaborated with several companies through research work, consulting, and/or joint student supervision, including Microsoft, KPMG, IBM, PwC, Cardinal Health, and Unilever. His research has been published in academic journals such as Communications of the Association for Information Systems, Decision Support Systems, Decision Analysis, Journal of Cleaner Production, among many others.

Dr. Carvalho's views have been featured in outlets such as Inside Higher ED, Poets & Quants, and The Journey. Due to his dedication to students and new educational endeavors, Dr. Carvalho has received prestigious teaching awards, including the Professor of the Year Award at Erasmus University, a Miami University's President Medal, and the Richard K. Smucker Teaching Excellence Award - Outstanding Junior Professor.

Keywords: Artificial Intelligence, Blockchain, Business Analytics, Cognitive Computing, Crowdsourcing, Decision Analysis, Decision Sciences, Decision Support Systems, Prediction Markets, Proper Scoring Rules.

Journal Publications

A Survey-Based Assessment of How Existing and Potential Electric Vehicle Owners Perceive Range Anxiety.
A Preference-Based Demand Response Mechanism for Energy Management in a Microgrid
A Permissioned Blockchain-Based Implementation of LMSR Prediction Markets
What the History of Linux Says About the Future of Cryptocurrencies
Off-The-Shelf Artificial Intelligence Technologies for Sentiment and Emotion Analysis: A Tutorial on Using IBM Natural Language Processing
Do Healthcare Workers Need Cognitive Computing Technologies? A Qualitative Study Involving IBM Watson and Dutch Professionals
On Proper Scoring Rules and Cumulative Prospect Theory
A Data-Driven Statistical Approach for Extending Electric Vehicle Charging Infrastructure
Evaluating Parking Policies for Parking Lots Handling Electric Vehicles
On a Participation Structure that Ensures Representative Prices in Prediction Markets
Inducing Honest Reporting of Private Information in the Presence of Social Projection
A Note on Sandroni-Shmaya Belief Elicitation Mechanism
An Overview of Applications of Proper Scoring Rules
How Many Crowdsourced Workers Should a Requester Hire?
Tailored Proper Scoring Rules Elicit Decision Weights
The Output-Agreement Method Induces Honest Behavior in the Presence of Social Projection
Sharing Rewards Among Strangers Based on Peer Evaluations

Other Peer-Reviewed Publications

Courses Taught

At Miami University:
- ISA 225: Principles of Business Analytics
- ISA 245: Database Systems
- ISA 414/514: Managing Big Data
- ISA 481: Blockchain and Business Applications
At Erasmus University:
- Big Data and Business Analytics
- Applied Business Methods