A new set of Random Forests with varying dynamic data reduction and voting techniques. - Hussein Mohsen; Hasan Kurban; Mark Jenne; Mehmet M. Dalkilic (DSAA, 2014)

Studying the Milky Way Galaxy Using ParaHeap-k. - Mark Jenne; Owen Boberg; Hasan Kurban; Mehmet M. Dalkilic (Computer, 2014)

Red-RF: Reduced Random Forest for Big Data Using Priority Voting & Dynamic Data Reduction. - Hussein Mohsen; Hasan Kurban; Kurt Zimmer; Mark Jenne; Mehmet M. Dalkiliç (BigData Congress, 2015)

EM*: An EM Algorithm for Big Data. - Hasan Kurban; Mark Jenne; Mehmet M. Dalkilic (DSAA, 2016)

Case Study: Clustering Big Stellar Data with EM. - Hasan Kurban; Can Kockan; Mark Jenne; Mehmet M. Dalkilic (BDCAT, 2017)

A novel approach to optimization of iterative machine learning algorithms: Over heap structure. - Hasan Kurban; Mehmet M. Dalkilic (IEEE BigData, 2017)

Improving expectation maximization algorithm over stellar data. - Hasan Kurban; Can Kockan; Mark Jenne; Mehmet M. Dalkilic (IEEE BigData, 2017)

Using data to build a better EM: EM* for big data. - Hasan Kurban; Mark Jenne; Mehmet M. Dalkilic (Int. J. Data Sci. Anal., 2017)

Using Data Analytics to Optimize Public Transportation on a College Campus. - Kurt Zimmer; Hasan Kurban; Mark Jenne; Logan Keating; Perry Maull; Mehmet M. Dalkilic (DSAA, 2018)

ccImpute: an accurate and scalable consensus clustering based algorithm to impute dropout events in the single-cell RNA-seq data. - Marcin Malec; Hasan Kurban; Mehmet M. Dalkilic (BMC Bioinform., 2022)

DCEM: An R package for clustering big data via data-centric modification of Expectation Maximization. - Parichit Sharma; Hasan Kurban; Mehmet M. Dalkilic (SoftwareX, 2022)

Novel NBA Fantasy League driven by Engineered Team Chemistry and Scaled Position Statistics. - Ganesh Arkanath; Nishad Gupta; Hasan Kurban; Parichit Sharma; K. R. Madhavan; Elham Khorasani Buxton; Mehmet M. Dalkilic (IEEE Big Data, 2023)

A Novel Discrete Time Series Representation with De Bruijn Graphs for Enhanced Forecasting Using TimesNet (Extended Abstract). - Mert Onur Cakiroglu; Hasan Kurban; Elham Khorasani Buxton; Mehmet M. Dalkilic (DSAA, 2024)

$p$-ClustVal: A Novel $p$-Adic Approach for Enhanced Clustering of High-Dimensional scRNASeq Data (Extended Abstract). - Parichit Sharma; Sarthak Mishra; Hasan Kurban; Mehmet M. Dalkilic (DSAA, 2024)

An extended de Bruijn graph for feature engineering over biological sequential data. - Mert Onur Cakiroglu; Hasan Kurban; Parichit Sharma; M. Oguzhan Külekci; Elham Khorasani Buxton; Maryam Raeeszadeh-Sarmazdeh; Mehmet M. Dalkilic (Mach. Learn. Sci. Technol., 2024)

Exploring Various Sequential Learning Methods for Deformation History Modeling. - Muhammed Adil Yatkin; Mihkel Kõrgesaar; Jani Romanoff; Joshua Stuckner; Ümit Islak; Hasan Kurban (EANN (1), 2025)

A Novel Discrete Time Series Representation With De Bruijn Graphs for Enhanced Forecasting Using TimesNet. - Mert Onur Cakiroglu; Hasan Kurban; Elham Buxton; Mehmet M. Dalkilic (IEEE Access, 2025)

Deep Temporal and Structural Embeddings for Robust Unsupervised Anomaly Detection in Dynamic Graphs. - Samir Abdaljalil; Hasan Kurban; Rachad Atat; Erchin Serpedin; Khalid A. Qaraqe (IEEE Open J. Comput. Soc., 2025)

SAFE: A Sparse Autoencoder-Based Framework for Robust Query Enrichment and Hallucination Mitigation in LLMs. - Samir Abdaljalil; Filippo Pallucchini; Andrea Seveso; Hasan Kurban; Fabio Mercorio; Erchin Serpedin (CoRR, 2025)

SINdex: Semantic INconsistency Index for Hallucination Detection in LLMs. - Samir Abdaljalil; Hasan Kurban; Parichit Sharma; Erchin Serpedin; Rachad Atat (CoRR, 2025)

HalluVerse25: Fine-grained Multilingual Benchmark Dataset for LLM Hallucinations. - Samir Abdaljalil; Hasan Kurban; Erchin Serpedin (CoRR, 2025)

A Noise-Adaptive Machine Learning Framework for Optimizing User Grouping in Dynamic IM-OFDMA Systems. - Fahrettin Ay; Saud Althunibat; Khalid A. Qaraqe; Hasan Kurban (IEEE Trans. Commun., 2025)

Exploring Various Sequential Learning Methods for Deformation History Modeling. - Muhammed Adil Yatkin; Mihkel Kõrgesaar; Jani Romanoff; Ümit Islak; Hasan Kurban (CoRR, 2025)

Understanding the Capabilities of Molecular Graph Neural Networks in Materials Science Through Multimodal Learning and Physical Context Encoding. - Can Polat; Hasan Kurban; Erchin Serpedin; Mustafa Kurban (CoRR, 2025)

xChemAgents: Agentic AI for Explainable Quantum Chemistry. - Can Polat; Mehmet Tuncel; Hasan Kurban; Erchin Serpedin; Mustafa Kurban (CoRR, 2025)

Multivariate de Bruijn Graphs: A Symbolic Graph Framework for Time Series Forecasting. - Mert Onur Cakiroglu; Idil Bilge Altun; Hasan Kurban; Elham Buxton; Mehmet M. Dalkilic (CoRR, 2025)

PhysicsNeRF: Physics-Guided 3D Reconstruction from Sparse Views. - Mohamed Rayan Barhdadi; Hasan Kurban; Hussein Alnuweiri (CoRR, 2025)

Beyond Atomic Geometry Representations in Materials Science: A Human-in-the-Loop Multimodal Framework. - Can Polat; Hasan Kurban; Erchin Serpedin; Mustafa Kurban (CoRR, 2025)

Theorem-of-Thought: A Multi-Agent Framework for Abductive, Deductive, and Inductive Reasoning in Language Models. - Samir Abdaljalil; Hasan Kurban; Khalid A. Qaraqe; Erchin Serpedin (CoRR, 2025)

Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning. - Can Polat; Hasan Kurban; Erchin Serpedin; Mustafa Kurban (CoRR, 2025)

Geometric-k-means: A Bound Free Approach to Fast and Eco-Friendly k-means. - Parichit Sharma; Marcin Stanislaw; Hasan Kurban; M. Oguzhan Külekci; Mehmet M. Dalkilic (CoRR, 2025)

EMPATHIA: Multi-Faceted Human-AI Collaboration for Refugee Integration. - Mohamed Rayan Barhdadi; Mehmet Tuncel; Erchin Serpedin; Hasan Kurban (CoRR, 2025)

Evaluating Multilingual and Code-Switched Alignment in LLMs via Synthetic Natural Language Inference. - Samir Abdaljalil; Erchin Serpedin; Khalid A. Qaraqe; Hasan Kurban (CoRR, 2025)