MD Riaz Kayser, Ph.D.
About MD Riaz Kayser, Ph.D.
MD Riaz Kayser, Ph.D., is an HPC Support Engineer specializing in the design and implementation of oxide-based materials for Resistive Random-Access Memory in neuromorphic computing. He has extensive experience in manufacturing techniques and engineering simulations, with a strong background in mechanical engineering and material science.
Work at Rescale
MD Riaz Kayser has been employed as an HPC Support Engineer at Rescale since 2022. In this role, he utilizes his expertise in high-performance computing to support clients in optimizing their computational workflows. His responsibilities include troubleshooting technical issues and providing guidance on best practices for utilizing HPC resources effectively.
Education and Expertise
MD Riaz Kayser holds a Doctor of Philosophy (Ph.D.) in Mechanical Engineering from The University of Texas at Arlington, where he studied from 2015 to 2019. He also earned a Bachelor of Science (B.Sc.) in Mechanical Engineering from Bangladesh University of Engineering and Technology, completing his studies from 2007 to 2012. His research focuses on the design and implementation of novel oxide-based materials for Resistive Random-Access Memory (RRAM) in neuromorphic computing.
Background
MD Riaz Kayser has a diverse professional background in academia and research. He worked as a Research Assistant at the University of Malaya from 2013 to 2015 and later served as a Graduate Research Assistant at The University of Texas at Arlington from 2015 to 2018. He also held the position of Postdoctoral Research Associate at Idaho National Laboratory from 2020 to 2022. His experience includes mentoring and teaching roles, such as serving as a Summer Mentor and Summer Instructor at The University of Texas at Arlington.
Research Focus and Achievements
MD Riaz Kayser's research emphasizes the development of multifunctional materials aimed at enhancing mechanical, electrical, and physical performance. He is involved in creating strong and tough multiphase ceramics through interface tailoring, which have potential applications in next-generation space shuttle materials. His work aims to meet the high demands of modern technology and contribute to advancements in material science.
Technical Skills and Proficiencies
MD Riaz Kayser possesses a range of technical skills relevant to his field. He is proficient in software tools such as ANSYS, COMSOL, and ABAQUS for engineering simulations. Additionally, he has experience with programming languages including MATLAB, Fortran, Python, and C/C++. His expertise extends to manufacturing techniques like Atomic Layer Deposition (ALD) and Magnetron Sputtering, as well as material testing methods including Scanning Electron Microscopy (SEM) and Transmission Electron Microscopy (TEM).