Dr. Fardina Alam is a Professional Track Faculty (UMD's equivalent of an Assistant / initial-rank Professor of Teaching)) at the Department of Computer Science (CS), University of Maryland (UMD). She obtained her Ph.D. in Computer Science from George Mason University, Fairfax, VA, and has since been actively involved in teaching and research. She has worked as a Graduate Research Assistant under the supervision of Professor Dr. Amarda Shehu at Computational Biology Lab, Mason on Deep Learning and Machine Learning techniques in the domain of Structural Bioinformatics and Computational Biology at the Computational Biology Lab. Her works were funded by an NSF FET Grant #1900061.
Dr. Alam is honored to have received the "Outstanding Dissertation Award 2023" from Mason, as well as the "Biomolecules Editor's Choice Article 2022" award. One of her papers was featured as the "Title Story" of the Journal Biomolecules in 2022, highlighting her contributions to the field.
Interests:
Structural Bioinformatics, Computational Biology
Data Science, Machine Learning, and Deep Learning
Protein Structure Representation Learning
Generative AI
SERVICES
Associate Guest Editor
Bioinformatics Advances| Oxford Academic, 2024
Faculty Advisor
Nobanno - Bangladeshi Graduate Student Association, UMD, 2024
Program Co-Chair
Computational Structural Bioinformatics Workshop (CSBW) | ACM-BCB Conference, 2023
EDUCATION
Ph.D. in Computer Science (2023)
George Mason University, VA, USA.
M.S. in Computer Science (2019)
George Mason University, VA, USA.
B.S. in Computer Science and Engineering (2013)
Military Institute of Science and Technology, Bangladesh
Reviewer
IEEE/ACM Transactions on Computational Biology and Bioinformatics
PLOS Computational Biology journal
Journal of Chemical Information and Modeling
Journal of American Chemical Society (ACS) Omega
Computational Structural Bioinformatics Workshop
Association for the Advancement of Artificial Intelligence (AAAI)
IEEE BIBM Conference