Holger Fröning is a full professor and leads the Hardware and Artificial Intelligence (HAWAII) Lab at the Institute of Computer Engineering at Heidelberg University. His research centers on embedded machine learning and high-performance computing, encompassing hardware and software architectures, programmability, co-design, data movement optimizations, and power and energy considerations. His work adopts a vertically integrated approach, addressing neural architecture optimizations, intermediate layers for compilation, mapping, and instrumentation, and various hardware targets. Current major research projects include accelerating Bayesian Neural Networks, promoting green machine learning by simplifying deep neural network architectures, and exploring emerging computing forms such as analog electrical and photonic computing, and resistive memory. Since 2023, he is managing director of the Institute of Computer Engineering. From 2019 to 2022, he was Dean of Studies for Computer Science at Heidelberg University. From 2011 to 2018, he was associate professor at the same university. In 2016, he was with NVIDIA Research (Santa Clara, CA, US) as visiting scientist, sponsored by Bill Dally. Early 2015 he was visiting professor at the Graz University of Technology (Austria), sponsored by Gernot Kubin. From 2008 to 2011 he reported to Jose Duato from the Technical University of Valencia (Spain). He has received his PhD and MSc degrees 2007 respectively 2001 from University of Mannheim, Germany. In 2023, he was named visiting professor at Xi'an University of Technology. In 2021, he was awarded visiting scientist at the Chinese Academy of Sciences. In 2014, he received the prestigious Google Faculty Research Award. Five of his publications have received a best paper award (IPDPS, ICPP, among others), and parts of his research results have been commercialized. He co-organizes the Workshop on Embedded Machine Learning (WEML) and the Workshop on IoT, Edge, and Mobile for Embedded Machine Learning (ITEM) on a regular basis. He was local co-chair for IEEE CLUSTER 2022, chaired tracks for EuroPar 2015 and International Supercomputer Conference 2017, and recently served as program committee member for ICPR2024, ECML2024, ICS2024, ICCD2024/23, ICCAD2024, CLUSTER2024, IPDPS2024/21/19, CCGRID2023/20/19, SC2017, ICPP2023/22/21, FPL2024/23/22/21, and EuroPar 2024/2019. He recently was reviewer for ECAI2023 and ECML2023. He is frequently providing reviews for established journals, such as IEEE Micro, TECS, TPDS, and JPDC. His recent sponsors include DFG, FWF, FFG, Carl-Zeiss Foundation, NVIDIA, SAP, and XILINX.

For more information, visit his website: hawaii.ziti.uni-heidelberg.de