Kamal Nasrollahi
About Kamal Nasrollahi
Kamal Nasrollahi serves as the Head of Machine Learning at Milestone Systems and is a Professor of Computer Vision and Machine Learning at Aalborg University. He has extensive experience in academia and industry, having held various positions at Aalborg University and Securitas Group.
Current Role at Milestone Systems
Kamal Nasrollahi serves as the Head of Machine Learning at Milestone Systems. He has held this position since 2019, contributing to advancements in machine learning applications within the company. His expertise in computer vision and machine learning plays a crucial role in developing innovative solutions in the security technology sector. He is based in the Copenhagen Area, Capital Region of Denmark.
Academic Career at Aalborg University
Kamal Nasrollahi has a significant academic background at Aalborg University, where he has held various positions. He began as a PhD student from 2007 to 2010, focusing on computer vision. Following this, he served as a Postdoc for three months in 2010, then progressed to Assistant Professor from 2011 to 2014, and later became an Associate Professor from 2014 until 2019. In 2019, he transitioned to his current role at Milestone Systems while also taking on the position of Professor of Computer Vision and Machine Learning.
Previous Experience at Securitas Group
Before his current role at Milestone Systems, Kamal Nasrollahi worked at Securitas Group as the Computer Vision Chief Scientist and Team Leader for Securitas Intelligent Services AB. He held this position for one year, from 2018 to 2019, in Malmo, Sweden. His work involved leading initiatives in computer vision technologies to enhance security services.
Education and Qualifications
Kamal Nasrollahi earned his Doctor of Philosophy (PhD) in Computer Vision from Aalborg University, completing his studies from 2007 to 2010. His educational background laid the foundation for his extensive career in both academia and industry, particularly in machine learning and computer vision.