Publications
A complete, frequently updated list. For citations and bibtex, see Google Scholar. First-author papers in bold context; my name bolded throughout.
Under review / in preparation
BCGR-Seq: Sequence-Aware Bézier Chaos Game Representation with Pretrained Protein Language Models for Protein Function Prediction
Bioinformatics · submitted
Calibration Failure and a Reproducible Difficulty Class in Missense Variant Effect Predictors
Bioinformatics · submitted
Murmur2Vec: A Theoretically-Grounded Hashing-Based Embedding for Large-Scale Biological Sequence Analysis
Bioinformatics · submitted
Critical Windows of Complexity Control: When Transformers Decide to Reason or Memorize
NeurIPS / TPAMI · submitted · on arXiv
Adversarial Calibration Poisoning Collapses Conformal Anomaly Detection: A Robust, Annotation-Free Defense
IEEE TNNLS · submitted
Robust Gradient Descent via Heavy-Ball Momentum with Predictive Extrapolation
AISTATS · submitted · on arXiv
Multi-Trait Polygenic Risk Scores for Alzheimer's Disease Prediction Across Diverse Ethnic Populations
Preprint · in preparation
Multimodal AI-Driven Framework for Early Detection and Progression Modeling of Frontotemporal Degeneration Using Genomic, Proteomic, and Digital Biomarkers
Preprint · in preparation
Longitudinal Clustering of Cognitive Trajectories in Alzheimer's Disease Progression
Preprint · in preparation
2025
Nearest Neighbor CCP-Based Molecular Sequence Analysis
IEEE/ACM Transactions on Computational Biology & Bioinformatics (TCBB) · IF 3.4 · paper
Hist2Vec: A Histogram and Kernel-Based Embedding Method for Molecular Sequence Analysis
Elsevier Expert Systems with Applications · IF 7.5 · paper
Anderson Acceleration For Molecular Sequencing
Springer Neural Computing and Applications (NCAA) · IF 5.1
Hash-Binding: DNA-Protein Binding Prediction Using Hashing-Based Embedding
Springer Neural Computing and Applications (NCAA) · IF 5.1 · paper
Explicit Path CGR: Maintaining Sequence Fidelity in Geometric Representations
ACM CIKM · CORE Rank A
Sequence-to-Image Transformation for Sequence Classification Using Rips Complex Construction and Chaos Game Representation
ACM Symposium on Applied Computing (SAC)
Hilbert Curve Based Molecular Sequence Analysis
PAKDD · paper
Position Specific Scoring Is All You Need? Revisiting Protein Sequence Classification Tasks
RECOMB-CG · paper
2024
Molecular Sequence Classification Using Efficient Kernel-Based Embedding
Elsevier Information Sciences · IF 8.1 · paper
Elliptic Geometry-Based Kernel Matrix for Improved Biological Sequence Classification
Elsevier Knowledge-Based Systems · IF 7.2 · paper
SsAG: Summarization and Sparsification of Attributed Graphs
ACM Transactions on Knowledge Discovery from Data (TKDD) · IF 4.0 · paper
From PDB Files to Protein Features: A Comparative Analysis of PDB Bind and STCRDAB Datasets
Medical & Biological Engineering & Computing (MBEC) · IF 2.6 · paper
CAMP: A Context-Aware Cricket Players Performance Metric
Journal of the Operational Research Society · IF 3.6 · paper
Gaussian Beltrami-Klein Model for Protein Sequence Classification: A Hyperbolic Approach
ISBRA · paper
DeepPWM-BindingNet: Unleashing Binding Prediction with Combined Sequence and PWM Features
ICONIP · paper
Weighted Chaos Game Representation for Molecular Sequence Classification
PAKDD
A Universal Non-Parametric Approach for Improved Molecular Sequence Analysis
PAKDD
2023
Benchmarking Machine Learning Robustness in COVID-19 Genome Sequence Classification
Nature Scientific Reports · IF 4.9 · paper
PseAAC Protein Encoding for TCR Protein Sequence Classification
Elsevier Computers in Biology and Medicine (CIBM) · IF 7.7 · paper
Spike2CGR: An Efficient Method for Spike Sequence Classification Using Chaos Game Representation
Springer ML Journal Track @ ECML-PKDD · IF 7.5
Short-Term Load Forecasting Using AMI Data
IEEE Internet of Things Journal · IF 10.6
Computing Graph Descriptors on Edge Streams
ACM Transactions on Knowledge Discovery from Data (TKDD) · paper
Virus2Vec: Viral Sequence Classification Using Machine Learning
Conference on Health, Inference, and Learning (CHIL) · oral (12% accept)
BioSequence2Vec: Efficient Embedding Generation for Biological Sequences
PAKDD · 17% accept · paper
Earlier work
Efficient Approximate Kernel Based Spike Sequence Classification
IEEE/ACM TCBB · IF 3.7
PWM2Vec: An Efficient Embedding Approach for Viral Host Specification from Coronavirus Spike Sequences
MDPI Biology · IF 5.1
Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19 Spike Sequences
IEEE BigData · 19.6% accept · paper
Simpler and Faster Development of Tumor Phylogeny Pipelines
Journal of Computational Biology · paper
Predicting Attributes of Nodes Using Network Structure
ACM Transactions on Intelligent Systems and Technology (TIST) · paper
M.S. thesis work, LUMS.
Combinatorial Trace Method for Network Immunization
Information Sciences · 22% accept · paper
Selected list above. For the complete record (≈60 conferences + 22 journals + workshops + posters) see Google Scholar or my full CV.