Mahdi Ahmadi

Dr. Mahdi Ahmadi is an engineer, data scientist, and educator whose work spans applied machine learning, generative AI, environmental and energy analytics, and information systems for research and business. 

He brings more than twenty years of combined academic, industry, and research experience to the Department of Information Sciences and Technology. His interdisciplinary background includes a PhD in Environmental Philosophy, a master's degree in Mechanical and Energy Engineering with a computer science minor, and a master's degree in Business Analytics, along with extensive research at the intersection of data analytics and societal challenges. 

Before joining UAlbany, he served as a Clinical Assistant Professor of Business Analytics at the University of North Texas and as a senior data scientist at NESCAUM, where he led data driven projects on air quality, emissions modeling, and policy analysis. 

His publication record includes numerous peer reviewed publications and conference presentations spanning applied statistics, machine learning applications, generative AI, environmental modeling, and data driven decision support. 

In addition to his research, he has taught courses in data mining, business analytics, statistics, and enterprise business intelligence, and has designed hands on, industry aligned curricula.