Soyed has received his bachelor's in Electrical and Electronics Engineering from American International University Bangladesh with Summa Cum Laude and University Gold Medal in 2016 (around a year earlier than the expected completion time). During his bachelor's, he was actively participating in IEEE region 10 and Engineering Student Associations of Bangladesh activities at his university. He has received his master's in Communication Engineering from Technische Universität München (TUM) in the fall 2019/2020 semester. During his master's degree, he was a research intern at the chair of design automation (Lehrstuhl für Entwurfsautomatisierung) under the supervision of Apl. Prof. Dr.-Ing. habil. Helmut Gräb (IEEE Fellow) and Robert Bosch Corporate Research in Renningen, Germany. Also, he has worked part-time at Infineon Technologies AG as a software engineer. In his master thesis, he has studied the soft error resiliency of peripheral modules of embedded SoC in safety-critical applications under the supervision of Prof. Ulf Schlichtmann and Daniel Müller-Gritschneder. He has joined the CDNC group of Professor Tahoori (IEEE Fellow) at KIT University, Karlsruhe, Germany in September 2020. His current research interests are neuromorphic computing, resilient hardware accelerator for machine learning, robust and accurate deep learning, hardware architectures for neural network applications, computation in memory, and emerging memory computing paradigms.