Maksudul Alam
About Maksudul Alam
Maksudul Alam is a Research Scientist at Oak Ridge National Laboratory, specializing in high performance computing and machine learning. He developed the DeepEx framework and has a strong background in computer science, holding a PhD from Virginia Tech.
Current Role at Oak Ridge National Laboratory
Maksudul Alam has been working as a Research Scientist at Oak Ridge National Laboratory since 2019. In this role, he focuses on high-performance computing and parallel algorithms, contributing to various research projects. His expertise in network science, machine learning, and computational biological systems supports the laboratory's mission to advance scientific knowledge.
Previous Experience at Oak Ridge National Laboratory
Prior to his current position, Maksudul Alam served as a Postdoctoral Research Associate at Oak Ridge National Laboratory from 2016 to 2019. He also completed two summer internships at the same facility, one in 2015 and another in 2016. His experiences at Oak Ridge provided him with a solid foundation in research methodologies and advanced computing techniques.
Research and Development at Commlink Info Tech
Maksudul Alam worked at Commlink Info Tech in Dhaka, Bangladesh, where he held the position of Senior Member in Research and Development from 2009 to 2011. He began his career at the same company as a Member in Research and Development from 2007 to 2009. His work involved developing innovative solutions and contributing to the company's research initiatives.
Education and Academic Background
Maksudul Alam earned his Bachelor of Science degree in Computer Science and Engineering from Bangladesh University of Engineering and Technology, studying from 2002 to 2007. He further pursued his education at Virginia Tech, where he obtained a Doctor of Philosophy (PhD) in Computer Science from 2011 to 2016. His academic training laid the groundwork for his research in high-performance computing and machine learning.
Technical Skills and Specializations
Maksudul Alam possesses strong technical skills in several programming languages and frameworks, including MPI, CUDA, C/C++, Java, Apache Spark, and Python. He specializes in developing scalable distributed frameworks, such as DeepEx, which is designed for complex scientific data processing. His expertise in parallel algorithms enhances his contributions to network science and data mining.