M. Maruf
Doctoral Student
Virginia Tech
Department of Computer Science
2202 Kraft Dr SW
Blacksburg, VA, 24060, USA
marufm (at) cs (dot) vt (dot) edu
[Email] [CV] [Google Scholar] [GitHub]
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About Me
I am a Ph.D. student in the Department of Computer Science at Virginia Tech, where I am being advised by Dr. Anuj Karpatne. I completed my undergradute in Computer Science and Engineering from Department of CSE, BUET, Bangladesh.
My research interests are in the broad domains of Science-Guided Machine Learning and its applications, focusing on integrating domain knowledge into machine learning models to obtain generalized solutions consistent with scientific knowledge. In particular, I am developing new algorithms for Graphs (Graph Neural Networks) that allow better representation with coherent knowledge propagation—applications of my work range from drug-drug interaction prediction to ontology-infused fish trait segmentation.
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Education
Department of Computer Science, Virginia Tech (August 2018 - Present)
Ph.D. Student
Department of Computer Science and Engineering, BUET, Bangladesh
BS, Computer Science
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Selected Publications
Maximizing Cohesion and Separation in Graph Representation Learning: A Distance-aware Negative Sampling Approach
M. Maruf, and Anuj Karpatne
In SIAM International Conference on Data Mining (SDM), 2021.
[PDF] [CODE]
Physics-Informed Discriminator (PID) for Conditional Generative Adversarial Nets
Arka Daw, M. Maruf, and Anuj Karpatne
In NeurIPS Workshop on Machine Learning and the Physical Sciences, 2020.
[PDF] [CODE]
iRSpot-SF: Prediction of recombination hotspots by incorporating sequence based features into Pseudo components
M. Maruf, and Swakkhar Shatabda
In Genomics, Volume 111, Issue 4, July 2019, Pages 966-972.
[PDF] [CODE]
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Honors and Awards
Recipient of Student Travel Awards at SIAM International Conference on Data Mining (SDM) 2021, SICB Annual Meeting 2021.
Recipient of University Merit scholarship and four consecutive Dean's Awards at BUET, Bangladesh.
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Work Experience
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