Summary
Jernej Hribar is a Marie Curie Research Fellow and seasoned researcher with nine years of experience at the intersection of wireless sensing, smart grids, and AI-driven networking. He holds a PhD in Telecommunications from Trinity College Dublin and has applied deep reinforcement learning (DQN, DDPG) and data analytics to make IoT sensing systems more sustainable. His career spans academic and international fellowships—including JSPS in Japan and collaborative projects with Tsinghua—where he focused on timeliness of information in smart grid networks and AI-enabled smart networking. Early hands-on work designing the VESNA wireless sensing platform and pollution-monitoring devices gives him rare end-to-end expertise from PCB/embedded design to ML model implementation. Colleagues describe him as adaptable, creative, and an enthusiastic mentor who enjoys translating research into practical, societally beneficial solutions. He combines rigorous publication and teaching experience with a pragmatic streak for prototyping and pre-commercialisation.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Telecommunications Engineering, Doctor of Philosophy - PhD, Telecommunications Engineering at Trinity College Dublin
Univerzitetni Diplomirani Inženir, Telecommunications Engineering, Univerzitetni Diplomirani Inženir, Telecommunications Engineering at University of Ljubljana, Faculty of Electrical Engineering
English, Slovenian