News
Reverse-chronological archive of paper acceptances, position changes, awards, and other milestones.
2025
Oct 2025
Became a Research and Education Core (REC) Scholar at Columbia University's Alzheimer's Disease Research Center. [details]
Oct 2025
Paper Nearest Neighbor CCP-Based Molecular Sequence Analysis accepted at IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB). [paper]
Aug 2025
Paper Anderson Acceleration for Molecular Sequencing accepted at Springer Neural Computing and Applications (IF 5.1).
Aug 2025
Paper Explicit Path CGR: Maintaining Sequence Fidelity in Geometric Representations accepted at ACM CIKM (CORE Rank A).
May 2025
Paper Hash-Binding: DNA-Protein Binding Prediction Using Hashing-Based Embedding accepted at Springer Neural Computing and Applications (IF 5.1). [paper]
Mar 2025
Paper Position Specific Scoring Is All You Need? Revisiting Protein Sequence Classification Tasks accepted at RECOMB-CG. [paper]
Feb 2025
Paper Hist2Vec: A Histogram and Kernel-Based Embedding Method for Molecular Sequence Analysis accepted at Elsevier Expert Systems with Applications (IF 7.5). [paper]
Jan 2025
Started as Postdoctoral Research Scientist at Columbia University Irving Medical Center (Taub Institute), working with Giuseppe Tosto.
2024
Dec 2024
Successfully defended my PhD in Computer Science at Georgia State University. Advisor: Murray Patterson.
Nov 2024
Paper Sequence-to-Image Transformation for Sequence Classification Using Rips Complex Construction and Chaos Game Representation accepted at ACM Symposium on Applied Computing (SAC).
Nov 2024
Paper MIK: Modified Isolation Kernel for Biological Sequence Visualization accepted at Machine Learning for Health Symposium (ML4H). [paper]
Oct 2024
Paper DANCE: Deep Learning-Assisted Analysis of Protein Sequences Using Chaos Enhanced Kaleidoscopic Images accepted at IEEE BigData (19.7% accept). [paper]
Sep 2024
Three papers accepted at SimBig 2024: Poincaré Distance for Genomic Sequence Analysis, EPIC: Enhancing Privacy through Iterative Collaboration, and Computing Gram Matrix for SMILES Strings Using RDKFingerprint and Sinkhorn-Knopp.
Sep 2024
Paper Elliptic Geometry-Based Kernel Matrix for Improved Biological Sequence Classification accepted at Elsevier Knowledge-Based Systems (IF 7.2). [paper]
Aug 2024
Two papers accepted at ICONIP 2024: DeepPWM-BindingNet and Advancing Protein-DNA Binding Site Prediction.
Jun 2024
Paper Molecular Sequence Classification Using Efficient Kernel-Based Embedding accepted at Elsevier Information Sciences (IF 8.1). [paper]
Jun 2024
Paper CAMP: A Context-Aware Cricket Players Performance Metric accepted at Journal of the Operational Research Society. [paper]
May 2024
Paper Gaussian Beltrami-Klein Model for Protein Sequence Classification: A Hyperbolic Approach accepted at ISBRA. [paper]
Apr 2024
Paper From PDB Files to Protein Features: A Comparative Analysis of PDB Bind and STCRDAB Datasets accepted at Medical & Biological Engineering & Computing. [paper]
Mar 2024
Awarded the Graduate Research Award for 2023 at Georgia State University. [announcement]
Mar 2024
Paper SsAG: Summarization and Sparsification of Attributed Graphs accepted at ACM TKDD. [paper]
Jan 2024
Two papers accepted at PAKDD 2024: A Universal Non-Parametric Approach and Weighted Chaos Game Representation.
Jan 2024
Paper PseAAC2Vec Protein Encoding for TCR Protein Sequence Classification accepted at Elsevier CIBM (IF 7.7). [paper]
2023
Oct 2023
Paper Circular Arc Length-Based Kernel Matrix for Protein Sequence Classification accepted at IEEE BigData (17% accept).
Aug 2023
Six papers accepted at ISBRA 2023: Sequence-Based Nanobody-Antigen Binding Prediction, Unveiling the Robustness of ML Models in Classifying COVID-19 Spike Sequences, PDB2Vec, Enhancing t-SNE Performance for Biological Sequencing Data, Hist2Vec, and Efficient Sequence Embedding for SARS-CoV-2 Variants.
Jul 2023
Paper Spike2CGR: An Efficient Method for Spike Sequence Classification Using Chaos Game Representation accepted at ECML-PKDD ML Journal Track (IF 7.5).
Jul 2023
Paper Short-Term Load Forecasting Using AMI Data accepted at IEEE Internet of Things Journal (IF 10.6).
Apr 2023
Paper Virus2Vec: Viral Sequence Classification Using Machine Learning accepted at CHIL (selected for oral presentation, 12% accept).
Apr 2023
Paper When Biology Has Chemistry: Solubility and Drug Subcategory Prediction Using SMILES Strings accepted at ICLR Tiny Paper Track. [paper]
Mar 2023
Paper Benchmarking Machine Learning Robustness in COVID-19 Genome Sequence Classification accepted at Nature Scientific Reports (IF 4.9). [paper]
Feb 2023
Paper BioSequence2Vec: Efficient Embedding Generation for Biological Sequences accepted at PAKDD (17% accept). [paper]
2022 and earlier
Oct 2022
Four papers accepted at IEEE BigData 2022 (18.6% accept).
Oct 2021
Paper LWMPA-Based Tone Mapping Quality Index (TMQI-3) received the Best Paper Award at the International Conference on Intelligent Vision and Computing (ICIVC). [paper]
Oct 2021
Paper Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19 Spike Sequences accepted at IEEE BigData 2021 (19.7% accept). [paper]
Jan 2021
Started PhD in Computer Science at Georgia State University.
Dec 2020
Paper Predicting Attributes of Nodes Using Network Structure accepted at ACM Transactions on Intelligent Systems and Technology (TIST) — based on my MS thesis at LUMS. [paper]