Nasrin Akhter

Nasrin Akhter is an Assistant Professor of Teaching in the Department of Computer Science and Engineering at the University at Buffalo, part of the School of Engineering and Applied Sciences. Her academic career focuses on applying computational methods to biological problems, with particular expertise in protein structure prediction and energy landscape analysis.

Dr. Akhter's educational background includes:

• PhD in Computer Science from George Mason University (2020)
• MS in Computer Science & Engineering from University of Dhaka, Bangladesh (2007)
• BSc in Computer Science & Engineering from University of Dhaka, Bangladesh (2005)

Her research interests center around computational biology and machine learning, with specific focus on protein structure prediction, energy landscape analysis, and the application of unsupervised and supervised learning techniques to biological problems. Dr. Akhter's work bridges the gap between computer science and biology, developing novel computational approaches to understand protein folding and dynamics.

Analysis of Dr. Akhter's publication record shows a consistent focus on protein structure prediction and energy landscape analysis. Her research demonstrates expertise in applying machine learning techniques, particularly non-negative matrix factorization, deep learning, and anomaly detection, to solve complex problems in computational biology. Over time, her work has evolved from foundational methods in decoy selection to more sophisticated approaches integrating multiple learning paradigms.

Dr. Akhter has received notable recognition for her research contributions:

• Best paper award at the Intl. Conf. on Bioinformatics and Computational Biology (BICOB) in 2019
• Finalist for best paper award at BICoB in 2018

As a faculty member, Dr. Akhter serves as a reviewer for prestigious journals including IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), PLOS ONE, and Machine Learning with Applications (MLWA). She has also served on program committees for SBP-BRiMS conferences from 2019-2022. Her teaching responsibilities include courses such as CSE 199: UB Seminar, CSE 191: Introduction to Discrete Structures, and previously CSE 116: Introduction to Computer Science II, CSE 331: Algorithms and Complexity, and CSE 469: Introduction to Data Mining.

Dr. Akhter's research appears to be conducted in collaboration with a team focused on computational biology and bioinformatics, particularly working with Amarda Shehu and other researchers on protein energy landscape analysis. Her work bridges computer science and biological applications through sophisticated computational methods.