Amirreza Farahani

Amirreza is a Ph.D Candidate in Information Systems at Eindhoven University of Technology (TU/e). Where he has served as a researcher under the supervision of Dr. ir Remco Dijkman and Dr. Laura Genga since 2019. He is working on the FENIX project (A European FEderated Network of Information eXchange in LogistiX) and His main research activity focuses on Data-driven Online Planning and Decision Making under Uncertainty in the Multimodal Transportation domain using Deep Reinforcement Learning Methods.

He received his B.Sc in Applied Mathematics and Computer Science in 2015 from Amirkabir University of Technology (AUT) and Obtained his M.Sc in Computer Software Engineering minor Data Science in 2018 from Iran University of Science and Technology (IUST).

He has also worked as a researcher at Data Engineering Lab (DEL) and Advanced Big Data Analysis Laboratory (ABDAL) at Iran University of Science and Technology.

Beyond academia, he co-founded Nullatech AI in the Fintech field, and he has also experienced as a Data Scientist at the biggest Persian search engine company.

In addition, here are his International awards and honors for his cutting-edge startup and graduate studies:
The top-Rank student in the Department of Computer Engineering Graduate program Award, He has been a recipient of the International Federation of Inventors’ Associations (IFIA) Award for novel AI algorithm design and innovative solutions to financial market prediction (Tehran, Iran, 2017). His startup selected among top Fintech picks to participate in TechCrunch Battlefield (Berlin, Germany, 2018), accepted among top Startups for Acceleration Program in TechStars Accelerator, (London, United Kingdom, 2018), Startup Istanbul Top 15 Finalists startups among 25000 teams, and +135 countries (Istanbul, Turkey, 2017), Turkey Innovation and Entrepreneurship week Top 60 Startups Global Pitching Winners among +31 countries (Istanbul, Turkey, 2017).

"Basically, I'm not interested in doing research and I never have been... I'm interested in understanding, which is quite a different thing. And often to understand something you have to work it out yourself because no one else has done it." — David Blackwell