Publications | Hasan Kurban, Ph.D.

Mohamed Rayan Barhdadi, Mehmet Tuncel, Erchin Serpedin, Hasan Kurban (2025). EMPATHIA: Multi-Faceted Human-AI Collaboration for Refugee Integrations. In The 39th Annual Conference on Neural Information Processing Systems (NeurIPS), Creative AI Track, San Diego CA, USA (under-review).

Md Rabiul Islam, Mohammed Yusuf Ansari, Hasan Kurban, Erchin Serpedin (2025). A Multimodal Interpretable Approach to Lung Nodule Diagnosis from CT with Radiology and Anatomy-Aware Text. IEEE Transactions on Radiation and Plasma Medical Sciences (under-review).

Shahriar Rahman Fahim, Rachad Atat, Abdulrahman Takiddin, Muhammad Ismail, Hasan Kurban, Erchin Serpedin (2025). Optimizing EV Charging Infrastructure Utilization via Dynamic Rerouting and Predictive Load. In IEEE Globecom Workshops (GC Wkshps), Workshop on Data Driven and AI-Enabled Digital Twin Networks and Applications (TwinNetApp), Taipei, Taiwan, 2025 (under-review).

Md. Mainul Islam, Muhammad Ismail, Hasan Kurban, Xiang Huo, Erchin Serpedin (2025). Byzantine-Resilient Distributed DC Optimal Power Flow Using Lightweight Cryptography. IEEE Transactions on Power Systems (under-review).

Samir Abdaljalil, Parichit Sharma, Rachad Atat, Erchin Serpedin, Hasan Kurban (2025). SINdex: Semantic INconsistency Index for Hallucination Detection in LLMs. IEEE Open Journal of the Computer Society (under-review).

Samir Abdaljalil, Filippo Pallucchini, Andrea Seveso, Hasan Kurban, Fabio Marcorio, Erchin Serpedin (2025). SAFE: A Sparse Autoencoder-Based Framework for Robust Query Enrichment and Hallucination Mitigation in LLMs. In The 30th Empirical Methods in Natural Language Processing (EMNLP), Suzhou, China (under-review).

Can Polat, Hasan Kurban, Erchin Serpedin, Mustafa Kurban (2025). R‑CRYSTALS: A Symmetry-Aware Benchmark for Radius-Resolved Nanoparticle Generation and Lattice Reconstruction. In The 39th Annual Conference on Neural Information Processing Systems (NeurIPS), San Diego CA, USA (under-review).

Mustafa Kurban, Can Polat, Erchin Serpedin, Hasan Kurban (2025). Multimodal Explainable Artificial Intelligence–Driven Analysis of Quantum Size Effects in Copper Nanoclusters for Hydrogen Storage. International Journal of Hydrogen Energy (under-review).

Md. Mainul Islam, Abdulrahman Takiddin, Muhammad Ismail, Hasan Kurban, Erchin Serpedin (2025). Linear-Complexity Unified Defense Against Deception Attacks in Distributed Economic Dispatch. IEEE Transactions on Smart Grid (under-review).

Samir Abdaljalil, Hasan Kurban, Erchin Serpedin (2025). HalluVerse3: A Fine-Grained Multilingual Benchmark for Hallucination Detection in LLMs. In The 39th Annual Conference on Neural Information Processing Systems (NeurIPS), San Diego CA, USA (under-review).

Parichit Sharma, Marcin Malec, Hasan Kurban, Oguzhan Kulekci, Mehmet M. Dalkilic (2025). Geometric-k-means: A Bound Free Approach to Fast and Eco-Friendly k-means. Machine Learning (under-review).

Idil Bilge Altun, Mert Onur Cakiroglu, Selma Awadallah, Mehmet M. Dalkilic, Hasan Kurban (2025). Benchmarking Artificial Intelligence Models for Dissolved Gas Forecasting in Power Transformers. IEEE Transactions on Power Delivery (under-review).

Md Rabiul Islam, Md Kamrul Hasan, Hasan Kurban, Erchin Serpedin (2025). Bayesian Probabilistic Knowledge from Diameter Prior for Decision Fusion to Detect Lung Nodule Heterogeneity. IEEE Transactions on Artificial Intelligence (under-review).

Marcin S. Malec, Parichit Sharma, Hasan Kurban, Mehmet M Dalkilic (2025). An R Package for Fast & Accurate Imputation of Dropouts in Single-Cell RNA-Seq Data. SoftwareX (under-review).

Mert Onur Cakiroglu, Idil Bilge Altun, Shahriar Rahman Fahim, Hasan Kurban, Mehmet Dalkilic, Rachad Atat, Abdulrahman Takiddin, Erchin Serpedin (2025). An Extended Frequency-Improved Legendre Memory Model for Enhanced Long-term Electricity Load Forecasting. IEEE Open Access Journal of Power and Energy, 2025 (under-review).

Ganesh Arkanath, Hasan Kurban, Mehmet M. Dalkilic (2025). PlayoffsNet--Enhancing NBA Playoffs Prediction Through Engineered Features and Explainable Deep Learning. Journal of Big Data (under-review).

Parichit Sharma, Fadwa Abbas, Nour Alabudi, Roudha Al-Khaldi, Sandra Mansour, Mehmet Tuncel, Hasan Kurban, Ali Ghrayeb (2025). Rule-Based Ensemble Learning for Wi-Fi Indoor Localization: A Fine-Tuned Approach with Comprehensive Machine Learning Benchmarking. In The IEEE 36th International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC), Istanbul, Turkiye (under-review).

Hasan Cetinkaya, Fahrettin Ay, Mehmet Tuncel, Hazem Nounou, Mohamed Numan Nounou, Hasan Kurban, Erchin Serpedin (2025). Curriculum-Enhanced Adaptive Sampling for Physics-Informed Neural Networks: A Robust Framework for Stiff PDEs. Communications in Computational Physics (under-review).

Madhavan Kalkunte Ramachandra, Hasan Kurban, M. Oguzhan Kulekci, Mehmet Dalkilic (2025). Telescope Indexing for k-Nearest Neighbor Search Algorithms over High Dimensional Data & Large Data Sets. Scientific Reports (accepted).

Can Polat, Hasan Kurban, Mustafa Kurban (2025). Enabling Ease of Access to Quantum Chemistry with Transformer-Based Text Encoding and Physics-Informed Multilayer Perceptron. Physica Scripta (accepted).

Samir Abdaljalil, Hasan Kurban, Rachad Atat, Erchin Serpedin, Khalid Qaraqe (2025). Deep Temporal & Structural Embeddings for Robust Unsupervised Anomaly Detection in Dynamic Graphs. IEEE Open Journal of the Computer Society (accepted).

Hasan Kurban, Parichit Sharma, Mehmet M. Dalkilic, Mustafa Kurban (2025). Accelerating Density of States Prediction in Zn-Doped MgO Nanoparticles via Kernel-Optimized Weighted k-NN. Scientific Reports (accepted).

Mert Onur Cakiroglu, Hasan Kurban, Elham Khorasani Buxton, Mehmet Dalkilic (2025). A Novel Discrete Time Series Representation with De Bruijn Graphs for Enhanced Forecasting using TimesNet. IEEE Access (accepted).

Can Polat, Mehmet Tuncel, Erchin Serpedin, Mustafa Kurban, Hasan Kurban (2025). xChemAgents: Agentic AI for Explainable Quantum Chemistry. In The 42nd International Conference on Machine Learning (ICML), Multi-Agent Systems in the Era of Foundation Model–Opportunities, Challenges and Futures, Vancouver, Canada.

Samir Abdaljali, Hasan Kurban, Khalid Qaraqe, Erchin Serpedin (2025). Theorem-of-Thought: A Multi-Agent Framework for Abductive, Deductive, and Inductive Reasoning in Language Models. In The 63rd Annual Meeting of the Association for Computational Linguistics (ACL), Towards Knowledgeable Foundation Models, Vienna, Austria.

Can Polat, Hasan Kurban, Erchin Serpedin, Mustafa Kurban (2025). Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning. In The 63rd Annual Meeting of the Association for Computational Linguistics (ACL), Towards Knowledgeable Foundation Models, Vienna, Austria.

Mohamed Rayan Barhdadi, Hasan Kurban, Hussein Alnuweiri (2025). PhysicsNeRF: Physics-Guided 3D Reconstruction from Sparse Views. In The 42nd International Conference on Machine Learning (ICML), Building Physically Plausible World Models, Vancouver, Canada.

Mert Onur Cakiroglu, Idil Bilge Altun, Mehmet M. Dalkilic, Elham Khorasani Buxton, Hasan Kurban (2025). Multivariate de Bruijn Graphs: A Symbolic Graph Framework for Time Series Forecasting. In The 42nd International Conference on Machine Learning (ICML), Foundation Models for Structured Data (FMSD), Vancouver, Canada.

Can Polat, Hasan Kurban, Erchin Serpedin, Mustafa Kurban (2025). Beyond Atomic Geometry Representations in Materials Science: A Human-in-the-Loop Multimodal Framework. In The 42nd International Conference on Machine Learning (ICML), Unifying Data Curation Frameworks Across Domains (DataWorld), Vancouver, Canada.

Can Polat, Erchin Serpedin, Mustafa Kurban, Hasan Kurban (2025). CrysMTM: A Multiphase, Temperature-Resolved, Multimodal Dataset for Crystalline Materials. Machine Learning: Science and Technology (accepted).

Parichit Sharma, Hasan Kurban, Mehmet Dalkilic, Mustafa Kurban (2025). Instance-Based Learning-Driven Density of States Analysis in Functionalized Fullerene Derivatives for Optimizing Organic Photovoltaics. In The 19th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG), Antalya, Turkey.

Mert Onur Cakiroglu, Idil Bilge Altun, Shahriar Rahman Fahim, Hasan Kurban, Mehmet M. Dalkilic, Rachad Atat, Abdulrahman Takiddin, Erchin Serpedin, Khalid Qaraqe (2025). De Bruijn Graph-Enhanced Time Series Models for Electricity Load Forecasting. In The 17th International Symposium on Signals, Circuits and Systems (SSCS), Iași, Romania.

Can Polat, Hasan Kurban, Erchin Serpedin, Mustafa Kurban (2025). Data-Efficient Hydrogen Adsorption Prediction in Copper Nanoclusters: A Computer Vision-Based Transfer Learning Approach. In The 19th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG), Antalya, Turkey.

Can Polat, Hasan Kurban, Erchin Serpedin, Mustafa Kurban (2025). Understanding the Capabilities of Molecular Graph Neural Networks in Materials Science Through Multimodal Learning and Physical Context Encoding. In The 42nd IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), Multimodal Learning for Materials Science (MM4Mat), Nashville TN, USA (spotlight).

Md. Mainul Islam, Muhammad Ismail, Rachad Atat, Hasan Kurban, Katherine R. Davis, Erchin Serpedin (2025). Decentralized N-1 Contingency Analysis for Cascading Failure Prediction in Multi-Region Power Systems using Consortium Blockchain. In The 5th International Conference on Electrical, Computer and Energy Technologies (ICECET), Paris, France.

Mehmet Tuncel, Hasan Kurban, Erchin Serpedin, Mustafa Kurban (2025). Predicting Optical Bandgaps in C60 and Functionalized Derivatives from Limited Data for Renewable Energy Applications. In The 19th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG), Antalya, Turkey.

Can Polat, Hasan Kurban, Erchin Serpedin, Mustafa Kurban (2025). TDCM25--A Multi-Modal Multi-Task Benchmark for Temperature-Dependent Crystalline Materials. In The Thirteenth International Conference on Learning Representations (ICLR), AI for Accelerated Materials Design, Singapore.

Muhammed Adil Yatkin, Mihkel Korgesaar, Jani Romanoff, Joshua Stuckner, Ümit Işlak, Hasan Kurban (2025). Exploring Various Sequential Learning Methods for Deformation History Modeling. In 26th Engineering Applications of Neural Networks / Engineering Applications and Advances of Artificial Intelligence (EAAAI), Limassol, Cyprus.

Can Polat, Hasan Kurban, Mustafa Kurban (2025). QuantumShellNet--Ground-State Eigenvalue Prediction of Materials Using Electronic Shell Structures and Fermionic Properties via Convolutions. Computational Materials Science.

Parichit Sharma, Sarthak Mishra, Hasan Kurban, Mehmet M. Dalkilic (2025). p-ClustVal--A Novel p-adic Approach for Enhanced Clustering and Valuation in High-Dimensional scRNASeq Data. International Journal of Data Science and Analytics.

Can Polat, Mustafa Kurban, Hasan Kurban (2024). Multimodal Neural Network-Based Predictive Modeling of Nanoparticle Properties from Pure Compounds. Machine Learning Science and Technology.

Mert Onur Cakiroglu, Hasan Kurban, Elham Khorasani Buxton, Mehmet Dalkilic (2024). A Novel Discrete Time Series Representation with De Bruijn Graphs for Enhanced Forecasting using TimesNet. In The 11th IEEE International Conference on Data Science and Advanced Analytics (DSAA), San Diego, USA.

Parichit Sharma, Hasan Kurban, Mehmet M. Dalkilic (2024). What Data-Centric AI Can Do For k-means--a Faster, Robust k-means-d. In The 41st International Conference on Machine Learning (ICML), Data-centric Machine Learning Research (DMLR)–Datasets for Foundation Models, Vienna, Austria, 2024.

Mert Onur Cakiroglu, Hasan Kurban, Khalid Qaraqe, Lilia Aljihmani, Goran Petrovski, Mehmet Dalkilic (2024). A Reinforcement Learning Approach to Effective Forecasting of Pediatric Hypoglycemia in Diabetes I Patients--an extended de Bruijn Graph. Scientific Reports.

Parichit Sharma, Sarthak Mishra, Hasan Kurban, Mehmet Dalkilic (2024). p-ClustVal--A Novel p-adic Approach for Enhanced Clustering and Valuation in High-Dimensional scRNASeq Data. In The 11th IEEE International Conference on Data Science and Advanced Analytics (DSAA), San Diego, USA.

Mert Onur Cakiroglu, Hasan Kurban, Parichit Sharma, M. Oguzhan Kulekci, Elham Khorasani Buxton, Maryam Raeeszadeh-Sarmazdeh, Mehmet Dalkilic (2024). An Extended de Bruijn Graph for Feature Engineering Over Biological Sequential Data. Machine Learning: Science and Technology.

Fahrettin Ay, Saud Althunibat, Khalid Qaraqe, Hasan Kurban (2024). A Noise-Adaptive Machine Learning Framework for Optimizing User Grouping in Dynamic IM-OFDMA Systems. IEEE Transactions on Communications.

Mustafa Kurban, Can Polat, Erchin Serpedin, Hasan Kurban (2024). Enhancing the electronic properties of TiO2 nanoparticles through carbon doping: An integrated DFTB and computer vision approach. Computational Materials Science.

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

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Anshumaan Shankar, Gowtham Veerabadran Rajasekaran, Jacob Hendricks, Jared Andrew Schlak, Parichit Sharma, Madhavan K R, Hasan Kurban, Mehmet M. Dalkilic (2023). Are Sports Awards About Sports? Using AI to Find the Answer. In ECML/PKDD, 10th Workshop on Machine Learning and Data Mining for Sports Analytics, Turin, Italy.

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Josh Elms, Sam Johnson, Madhavan K R, Keerthana Sugasi, Parichit Sharma, Hasan Kurban, Mehmet M. Dalkilic (2023). AReS: An AutoML Regression Service for Data Analytics and Novel Data-centric Visualizations. In KDD Undergraduate Consortium (KDD-UC), Long Beach, CA, USA.

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Sam Johnson, Josh Elms, Madhavan K R, Keerthana Sugasi, Parichit Sharma, Hasan Kurban, Mehmet M. Dalkilic (2023). Are They What They Claim: A Comprehensive Study of Ordinary Linear Regression Among the Top Machine Learning Libraries in Python. In KDD Undergraduate Consortium (KDD-UC), Long Beach, CA, USA (accepted).

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Selcuk Temiz, Salim Erol, Hasan Kurban, Mehmet M. Dalkilic (2023). State of Charge and Temperature-Dependent Impedance Spectra Regeneration of Lithium-ion Battery by Duplex Learning Modeling. Journal of Energy Storage.

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Selcuk Temiz, Hasan Kurban, Salim Erol, Mehmet M. Dalkilic (2022). Data on Machine Learning regenerated Lithium-ion battery impedance. Data in Brief.

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Hasan Kurban, Mustafa Kurban, Mehmet M. Dalkilic (2022). Rapidly Predicting Kohn-Sham Total Energy Using Data-centric AI. Nature Scientific Reports.

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Selcuk Temiz, Hasan Kurban, Salim Erol, Mehmet M. Dalkilic (2022). Regeneration of Lithium-ion Battery Impedance using a Novel Machine Learning Framework and Minimal Empirical Data. Journal of Energy Storage.

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

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