Sadman Sadeed Omee
About Sadman Sadeed Omee
Sadman Sadeed Omee is a Summer Intern at Lawrence Livermore National Laboratory, focusing on deep learning applications in materials informatics. He is pursuing a PhD in Computer Science at the University of South Carolina, where he also serves as a Graduate Research Assistant and Graduate Teaching Assistant.
Work at Lawrence Livermore National Laboratory
Currently, Sadman Sadeed Omee is engaged as a Summer Intern at Lawrence Livermore National Laboratory. His internship began in 2024 and is set for a duration of four months. Omee is involved in projects that focus on deep learning applications within the field of materials informatics. He conducts research under the supervision of Dr. Jianjun Hu in the Machine Learning and Evolution Group (MLEG), contributing to advancements in computational materials science.
Education and Expertise
Sadman Sadeed Omee is pursuing a Doctor of Philosophy (PhD) in Computer Science at the University of South Carolina, a program he has been enrolled in since 2021. He previously earned a Bachelor of Science (BS) in Computer Science and Engineering from Bangladesh University of Engineering and Technology, completing his studies from 2015 to 2019. His academic background provides a solid foundation for his current research in deep learning and materials informatics.
Background
Omee has a diverse background in academia, having worked at the University of South Carolina in various roles. He served as a Graduate Teaching Assistant for four months in 2021 and has been a Graduate Research Assistant since 2022. In 2023, he resumed the role of Graduate Teaching Assistant. His experiences at the university have contributed to his expertise in computer science and research methodologies.
Research Focus
Sadman Sadeed Omee's research primarily centers on the application of deep learning techniques in materials informatics. His work at Lawrence Livermore National Laboratory involves cutting-edge projects that aim to enhance understanding and development in computational materials science. Omee's research is conducted under the guidance of Dr. Jianjun Hu, emphasizing the integration of machine learning in scientific inquiry.