Area of research
Artificial Intelligence · Molecular Biology
Research interest
Research interests include Algorithms and Data Compression, DNA and Biological Computing, Genomics and Phylogenetic Studies, and semigroups and automata theory.
Quantifying pathological progression from single-cell transcriptomic data with scPSS.
GraphAge: Unleashing the power of graph neural network to decode epigenetic aging.
ORANGE: A Machine Learning Approach for Modeling Tissue-Specific Aging from Transcriptomic Data
CRISPR-DIPOFF: an interpretable deep learning approach for CRISPR Cas-9 off-target prediction.
Quantifying Pathological Progression from Single-Cell Data
Align-gram: Rethinking the Skip-gram Model for Protein Sequence Analysis.
CRISPR-DIPOFF: An Interpretable Deep Learning Approach for CRISPR Cas-9 Off-Target Prediction
MAMMLE: A Framework for Phylogeny Estimation Based on Multiobjective Application-aware Multiple Sequence Alignment and Maximum Likelihood Ensemble.
PPG2ABP: Translating Photoplethysmogram (PPG) Signals to Arterial Blood Pressure (ABP) Waveforms.
Characterization of intrinsically disordered regions in proteins informed by human genetic diversity.
A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals.
Quartet Based Gene Tree Imputation Using Deep Learning Improves Phylogenomic Analyses Despite Missing Data.
Revisiting segmentation of lung tumors from CT images.
Multinomial Convolutions for Joint Modeling of Regulatory Motifs and Sequence Activity Readouts.
Epstein-Barr virus nuclear antigen proteins deploy diverse mechanisms to bind the human genome
DeepBend: An Interpretable Model of DNA Bendability
DeepBend: An Interpretable Model of DNA Bendability
Succinylated lysine residue prediction revisited
An Agent-Based Modeling of COVID-19: Validation, Analysis, and Recommendations.
The Disproportionate Impact of COVID-19 among Undocumented Immigrants and Racial Minorities in the US.
A contour property based approach to segment nuclei in cervical cytology images.
ADACT: a tool for analysing (dis)similarity among nucleotide and protein sequences using minimal and relative absent words.
Analyzing Predictors of Control Measures and Psychosocial Problems Associated with COVID-19 Pandemic: Evidence from Eight Countries.
Predicting pulmonary function from the analysis of voice: a machine learning approach
Comprehensive characterization of amino acid positions in protein structures reveals molecular effect of missense variants.
CRISPRpred(SEQ): a sequence-based method for sgRNA on target activity prediction using traditional machine learning.
Toward Preparing a Knowledge Base to Explore Potential Drugs and Biomedical Entities Related to COVID-19: Automated Computational Approach.
Obesity in Qatar: A Case-Control Study on the Identification of Associated Risk Factors.
Prediction of Lung Function in Adolescence Using Epigenetic Aging: A Machine Learning Approach.
COVID-19 in China: Risk Factors and R0 Revisited
Collaborative Research: EPIIC: Partnering to Advance And Drive Innovation on Sustainability and the Environment (PARADISE)
PFI-TT: Developing Protein-based Edible Coatings to Extend the Shelf Life of Fruits and Vegetables
PFI-TT: Developing Protein-based Edible Coatings to Extend the Shelf Life of Fruits and Vegetables
CISE-MSI: DP: IIS:III: Deep Learning Based Automated Concept and Caption Generation of Medical Images Towards Developing an Effective Decision Support System (DSS)
I-Corps: Developing Protein-based, Edible Coatings for Perishable Produce to Reduce Food Waste
Response of Porous Sea Beds Subjected to Random Ocean Waves
Research Initiation: Response of Soil Masses to Random Seismic Environment