Abdolnabi Hashemi

Visiting Professor, MUL
"Integrating Artificial Intelligence (AI) and Machine Learning (ML) into business operations is revolutionizing the way companies operate, enabling unprecedented levels of efficiency and innovation. Businesses can use AI and ML to automate repetitive processes, extract insightful information from large data sets, and make remarkably accurate predictions about future trends. This integration improves decision-making, lowers expenses, and increases productivity in addition to streamlining procedures. As a result, businesses are able to maintain their competitive edge in the market by concentrating more on strategic initiatives and customer satisfaction. Enterprises that are prepared for the future must embrace AI and ML for operational optimization; it is no longer an optional approach."

Dr. Abdolnabi Hashemi is currently Drilling and Production Technology Advisor at tde Digital GmbH, Leoben Austria. He also serves a Guest Professor in the department Petroleum Engineering at Montan Universität Leoben, Austria. He holds an MSc and PhD degrees in Petroleum Engineering from Imperial College London. He was the recipient of the distinction grade from Imperial College London in 2001. Hashemi is a subject matter expert in Production Engineering, Drilling Engineering. He has over 34 years of experience in the petroleum industry and is a distinguished professor at one of the Middle East’s top universities. Prior to joining tde Digital, he held a variety of senior technical and academic positions with the National Iranian Oil Company (NIOC) and Petroleum University of Technology (PUT). He was the University Chancellor of PUT from 2014 to 2018. His interests include different aspects of Petroleum Engineering such as drilling digitalization and automation, drilling optimization and Optimization, well test analysis, numerical reservoir simulation, PVT, production enhancement and wellbore stability. Prof. Hashemi is a SPE member. Hashemi has authored and co-authored more than fifty technical papers on production and reservoir engineering, drilling and completion related topics.