Mohammadreza Rezvan's main research interests are artificial intelligence, machine learning, natural language processing, and data analysis. His current research is dedicated to finding breakthrough analytical techniques for designing AI complex systems based on grant peer review data to test reliability, validity, and fairness. Previously, he was a lead NLP engineer of an NSF project to detect the cyberbullying on social media. Moreover, as a Machine Learning engineer on an ONR project, he built the framework to integrate knowledge, declarative knowledge representation models, and procedural knowledge about tasks in training and decision making of statistical and Neural models.
He is a member of Editorial Board Members in SCIREA Journal of Computer, International Journal on Data Science and Technology(IJDST) and a reviewer of the IEEE Internet of Things.
Phone: (608) 261-1139
Office: 107 Ed Sciences