
For a complete and regularly updated list of my publications, citations, and research metrics, please visit my Google Scholar profile.
View Google Scholar ProfileSelected Publications
Materials AI, Graph Learning & Optimization
- SOCIAL: Social Network Optimization Algorithm via Centrality and Influence-Aware Learning — Applied Soft Computing, 2026.
- MOF-LENS: Bio-Inspired Lotus Effect Optimization for Accelerated Discovery of Metal–Organic Framework Nanocarriers for Doxorubicin Delivery in Cancer Therapy — Materials Today Communications, 2025.
- The Black Hole Strategy: Gravity-Based Representative Sampling for Frugal Graph Learning on Metal–Organic Framework Networks — Journal of Chemical Information and Modeling, 2025.
- Application of Neural Networks for Advanced IR Spectroscopy Characterization of Ceria Catalysts Surfaces — Advanced Intelligent Discovery, 2025.
- Inverse Link Prediction with Graph Convolutional Networks for Knowledge-Preserving Sparsification in Cheminformatics — Journal of Big Data, 2025.
- Large Language Models in Electronic Laboratory Notebooks: Transforming Materials Science Research Workflows — Materials Today Communications, 2024.
- MOFGalaxyNet: a Social Network Analysis for Predicting Guest Accessibility in Metal–Organic Frameworks Utilizing Graph Convolutional Networks — Journal of Cheminformatics, 2023.
- MOFSocialNet: Exploiting Metal–Organic Framework Relationships via Social Network Analysis — Nanomaterials, 2022.
- Lotus Effect Optimization Algorithm (LEA): a Lotus Nature-Inspired Algorithm for Engineering Design Optimization — Journal of Supercomputing, 2024.
- Multimodal Lotus Effect Algorithm for Engineering Optimization Problems — Engineering Reports, 2025.
- MSLE: An Ontology for Materials Science Laboratory Equipment – Large-Scale Devices for Materials Characterization — Materials Today Communications, 2023.
- ML-Based XPS Quantification Supported by Synthetic Dataset Generation — Current Directions in Biomedical Engineering, 2024.
NLP, LLMs & Intelligent Systems
- A Systematic Approach to Fine-Tuning Transformers for Emotion Detection on the Empathetic Dialogues Benchmark — International Journal of Information Technology, 2025.
- InformatIQ: a Transformers-Powered Framework for Practical Module Handbook Metadata Extraction — International Journal of Computers and Applications, 2025.
- GraphDBSCAN: Optimized DBSCAN for Noise-Resistant Community Detection in Graph Clustering — Future Internet, 2025.
- SGRiT: Non-Negative Matrix Factorization via Subspace Graph Regularization and Riemannian-Based Trust Region Algorithm — Machine Learning and Knowledge Extraction, 2025.
Recommender Systems, Social Mining & Data Science
- Toward Point-of-Interest Recommendation Systems: A Critical Review on Deep-Learning Approaches — Electronics, 2022.
- DeePOF: A Hybrid Approach of Deep Convolutional Neural Network and Friendship to Point-of-Interest (POI) Recommendation System in Location-Based Social Networks — Concurrency and Computation: Practice and Experience, 2022.
- Community Detection in Social Networks Using User Frequent Pattern Mining — Knowledge and Information Systems, 2017.
- WebPUM: A Web-Based Recommendation System to Predict User Future Movements — Expert Systems with Applications, 2010.
