Department of Information Systems
University of Maryland Baltimore County
Baltimore, Maryland, U.S.A.
Email: serajmost _at_ umbc.edu
Lab: ITE 471
Profiles: Google Scholar, LinkedIn
Short Biography
Seraj is a Ph.D. student at the Department of Information Systems working with Dr. Jianwu Wang. His main focus is in the climate science research using remote sensing images to help domain scientists. He began as a Ph.D. student in Fall 2021 with NASA funded project related to Ocean Eddy. Currently he is working on another NASA funded project related to Gravity Wave. Seraj is also working on Causality to aid in Artificial Intelligence that aims to make core level contributions in Causal Feedbacks.
Research Focus
-
- Causality and AI
- Deep Learning and Distributed Analytics
- Climate Change/Earth Informatics
Education
-
- 2021 ~ ongoing: Ph.D. in Information Systems, University of Maryland, Baltimore County, Maryland, USA
- 2017 ~ 2020: M.Sc. in Computer Science, Montana State University, Bozeman, Montana, USA
- 2010 ~ 2012: M.Sc. in Computer Science and Engineering, Lulea University of Technology, Lulea, Sweden
- 2001 ~ 2004: B.Sc. in Computing Information Systems, [Joint Program] DIIT, Bangladesh and London Metropolitan University, UK
Publication
-
- Atmospheric Gravity Wave Detection Using Transfer Learning Techniques. Accepted by 2022 IEEE/ACM 9th International Conference on Big Data Computing, Applications and Technologies (BDCAT 2022). [preprint]
- Benchmarking Probabilistic Machine Learning Models for Arctic Sea Ice. Published by the 2022 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2022), IEEE. [Publication Link]
- More at Google Scholar
Awards
-
- Student Travel Award, 2021 IEEE International Conference on Big Data.
REU Advising
-
- Summer 2022 REU program: A NSF funded program to support Research Experience for Undergraduates (REU) from various US universities. Seraj advisied 5 students in a Transfer Learning Project to detect Gravity Wave from Remote Sensing Satellite Imagery.