Md Ashiqur Rahman
Computer Science · Purdue University West Lafayette
Publications
31
Citations
234
Est. group size
—
Recurring co-author estimate
Active years
20
Publishing since 2007
This researcher works at the intersection of machine learning and computational applications, including neural network architectures for image and biomolecular data, disease and biological sequence analysis, and wireless ad-hoc networking. Publications span topics such as deep learning for image recognition, genomic/RNA data analysis, neural operators for scientific computing, and network protocol design. The work is applied and methods-driven, often combining machine learning techniques with domain-specific problems in health, biology, and networking.
Publication output has been relatively steady but modest over the last decade, fluctuating between 1 and 4 papers per year with an average of about 2 papers per year over the last five years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- BEENE: deep learning-based nonlinear embedding improves batch effect estimation
Bioinformatics · 2023
- Generative Adversarial Neural Operators
CaltechAUTHORS (California Institute of Technology) · 2022
- U-NO: U-shaped Neural Operators
arXiv (Cornell University) · 2022
- CHAPAO: Likelihood and hierarchical reference-based representation of biomolecular sequences and applications to compressing multiple sequence alignments
PLoS ONE · 2022
- Book Review: On Strategy: A Primer by Nathan K. Finney
2021
- On the Analysis of Adaptive-Rate Applications in Data-Centric Wireless Ad-Hoc Networks
2021
- On Data-centric Forwarding in Mobile Ad-hoc Networks: Baseline Design and Simulation Analysis
2021
- Solving The Maze of Diagnosing Parkinson’s Disease based on Portable EEG Sensing to be Adaptable to Go In-The-Wild
2020
- Prediction of Accident Severity Using Artificial Neural Network: A Comparison of Analytical Capabilities between Python and R
Journal of Data Analysis and Information Processing · 2020
- PRESa2i: incremental decision trees for prediction of Adenosine to Inosine RNA editing sites
F1000Research · 2020
- Comparison of Different Machine Learning Algorithms for the Prediction of Coronary Artery Disease
Journal of Data Analysis and Information Processing · 2020
- A snapshot neural ensemble method for cancer-type prediction based on copy number variations
Neural Computing and Applications · 2019
- An Efficient Recognition Method for Handwritten Arabic Numerals Using CNN with Data Augmentation and Dropout
Advances in intelligent systems and computing · 2018
- Abstract 94: Deficiency of Epsins in Macrophages Ameliorates Atherosclerosis by Attenuating Inflammation
Arteriosclerosis Thrombosis and Vascular Biology · 2017
- Applying Data Augmentation to Handwritten Arabic Numeral Recognition\n Using Deep Learning Neural Networks
arXiv (Cornell University) · 2017
- arXiv (Cornell University)×7
- Journal of Data Analysis and Information Processing×2
- Advances in intelligent systems and computing×1
- Neural Computing and Applications×1
- Bioinformatics×1
- Anish Arora
Computer Science · The Ohio State University
- Ramin Yarinezhad
Computer Science · The Ohio State University
- Ting Zhu
Computer Science · The Ohio State University
- T. P. Sharma
Computer Science · Purdue University West Lafayette
- Yang Ou
Computer Science · Indiana University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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