Michalis Papakostas

Research Scientist

HCI Research @ GN Group, R&D Global Research Group

I am a research scientist working on applied HCI, machine learning and Human-Factor Engineering solutions at GN Group with a focus on hearing-aid and wearable technology for GNs, ReSound brand.

Previously I worked as a postdoctoral research fellow at the University of Michigan's AI Lab, doing research under the supervision of Professor Rada Mihalcea.

I received my Ph.D. in 2019 as a member of the joint Doctorate program between the University of Texas at Arlington and the National Center of Scientific Research, "Demokritos" under the supervision of Professor Fillia Makedon & Dr. Vangelis Karkaletsis. Before that, I received a M.Eng from the Department of Electronics & Computer Engineering at the Technical University of Crete in 2013 (5-year program). I conducted my M.Eng. Thesis under the supervision of Professor Vassilis Digalakis.

My primary research interests are on the fields of Multi-Modal Signal Processing, Human Machine Interaction and Machine Learning with a special focus on User Behavior Understanding, Modeling & Monitoring.

Email: mpapakos@umich.edu


  • January 2021 - I will be joining GN Group's outstanding research team on developing novel HCI solutions for tomorrow's hearing-aid assistive technologies!

  • December 2020 - Paper accepted at IUI 2021 "Understanding Driving Distractions: A Multimodal Approach to Distraction Detection and Recognition.

  • November 2020 - I will be giving a talk at the University of Texas at Arlington on November 5th

  • August 2020 - I will be giving a talk at the ACM Chicago CHI Chapter on September 3rd

  • February 2020 - Our paper with title "Towards detecting levels of alertness in drivers using multiple modalities" was accepted for publication at PETRA 2020

  • December 2019 - Our paper with title "A Deep Learning Approach Towards Multimodal Stress Detection" was accepted for publication at the AAAI-2020 Workshop on Affective Content Analysis

  • June 2019 - Joined lit@umich as a postdoctoral fellow.

  • April 2019 - Received "Outstanding Graduate Student Award" by the University of Texas at Arlington

  • April 2019 - Successfully defended my PhD :)

  • March 2019 - Paper accepted at PETRA 2019 "Physical Fatigue Detection through EMG wearables and Subjective User Reports - A Machine Learning Approach Towards Adaptive Rehabilitation"