Amir Aminifar

Amir Aminifar is an Associate Professor (Universitetslektor/Docent) in the Department of Electrical and Information Technology at Lund University, Sweden, and the Director of the Intelligent Systems Laboratory (INTELLIGENTiSTs). He is a Wallenberg AI, Autonomous Systems and Software Program (WASP) Fellow and a Senior member the IEEE. He received his Ph.D. degree from the Swedish National Computer Science Graduate School (CUGS), Linköping University, Sweden, in 2016. During 2016-2020, he held a Scientist position in the Institute of Electrical Engineering at the Swiss Federal Institute of Technology (EPFL), Switzerland. During 2014-2015, he visited the University of California, Los Angeles (UCLA), USA, and Sant'Anna School of Advanced Studies, Italy.
Team member photo
Amir Aminifar has been involved in several national/international projects, including the Medical Informatics Platform (MIP) of the European Human Brain Project (HBP), the ML-edge Swiss National Science Foundation (SNSF) project, the e-Glass Swiss Federal Institute of Technology (EPFL) project, the Wallenberg AI, Autonomous Systems and Software Program (WASP), Swedish Foundation for Strategic Research (SSF), ELLIIT Strategic Research Environment, and the Swedish Research Council (VR). He has received the Google Research Scholar Award in Machine Learning. He has a history of successful collaboration with industry and medical partners, including Ericsson Research, Sony, General Motors (GM), Texas Instruments (TI), SmartCardia, the Lausanne University Hospital in Switzerland, and the Aarhus University Hospital in Denmark.
Amir Aminifar has served as an Associate Editor of several international journals, including the ACM Computing Surveys (IF=23.8) and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. He has been involved in the evaluation of grant proposals for the European Innovation Council (EIC), Swiss National Science Foundation (SNSF), among others. Finally, he has been teaching the M.Sc. course in Artificial Intelligence (with 221 students), Machine Learning for Internet of Things (IoT), and the Ph.D. course in Machine Learning at Lund University. He has also been involved in teaching the Ph.D. course "Design and Optimization of Internet of Things (IoT) Systems" at the Swiss Federal Institute of Technology (EPFL) and the MOOC course on IoT Systems and Industrial Applications with Design Thinking.