Masoud Daneshtalab
Scientific director of fundamental AI @ Mälardalen University
About
I am leading the HERO research group and the director of DeepHERO lab with more 15+ PhD students and my current research activities and projects are mainly on three tracks: - Heterogeneous Computing: HW/SW co-design and FPGA-based accelerator design - Machine/Deep learning: model optimization (AutoML), TinyML (embedded friendly ML/DL), robustness and reliability - Time-sensitive networking (TSN) Leading the following projects: AutoFL, Faster-AI, AutoDeep, GreenDL, DeepMaker, SafeDeep, SafeAI, HERO, Destine, Provident, Interconnect more info on research activities, tools and projects of the HERO group: https://www.es.mdh.se/hero/
Sweden
Stockholm
Higher Education
on-chip networks, multiprocessor architectures, Dynamic Task Allocation, Embedded Systems, Computer Architecture, Hardware Design, Hardware Architecture, VHDL, Network Communications, SoC, Multiprocessing, C++, Verilog, ModelSim, Simulations, Algorithms, Signal Processing, FPGA, Operating Systems, Manycore systems
Experience

Researcher
University of Tehran
Master Degree
Masoud Daneshtalab's Contact Information
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