Projects per year
Personal profile
Biography
Dr. Hasan Kurban is an Assistant Professor at the College of Science and Engineering at Hamad Bin Khalifa University, with additional roles as Adjunct Associate Professor of Computer Science and Data Science at Indiana University Bloomington and Adjunct Assistant Professor of Electrical and Computer Engineering at Texas A&M University at Qatar. He also serves as an Editor for Nature Scientific Reports.
Dr. Kurban earned his Ph.D. in Computer Science with a minor in Statistics from Indiana University, Bloomington, USA in 2017. His research spans Artificial Intelligence, deep learning, software engineering, graph theory, and large-scale data analytics, with applications in diverse fields including computational materials science, biology, sports analytics, education, public transportation, finance, and medicine.
Research Interests
- Artificial Intelligence
- Software Engineering
- Data Science
- Computational Science
Education
Ph.D. in Computer Science, Minor in Statistics, Indiana University, Bloomington, IN, USA, September 2017
Keywords
- QA75 Electronic computers. Computer science
- Artificial Intelligence
- Machine Learning
- Big Data
- Data Science
- Computational Science
- Software Engineering
- ZA4450 Databases
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Collaborations and top research areas from the last five years
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Projects
- 2 Active
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HBKU-OVPR-TG-03-41: Optimal AI and Quantum Secured Wireless–Optical Communication Design for Smart Cities in Qatar
Boumaiza, A. (Co-Lead Principal Investigator), Al-Kuwari, S. M. S. A. (Co-Lead Principal Investigator), Kurban, H. (Co-Lead Principal Investigator), Qaraqe, K. A. (Lead Principal Investigator), Dabiri, M. A. (Co-Lead Principal Investigator) & Ammuri, R. (Co-Lead Principal Investigator)
1/11/25 → 31/10/27
Project: Basic Research
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EX-QNRF-NPRPC-8: ReSolVE (Resilient Solutions for Vulnerabilities and Emergencies): An Effective National Risk Management Plan for Qatar
Al-Ansari, T. A. H. A. (Lead Principal Investigator), Lahlou, F. Z. (Post Doctoral Fellow), Youssef, A. (Graduate Student), Hussain, F. (Graduate Student), Rahmat Gul, H. B. (Post Doctoral Fellow), Khourchid, A. M. B. (Research Assistant), Qaraqe, K. A. (Lead Principal Investigator), Serdar, M. Z. (Post Doctoral Fellow), Ahmad, M. (Graduate Student), Bayhan, S. (Principal Investigator), Alfarra, M. R. (Principal Investigator), Kurban, H. (Principal Investigator), Ali, Z. (Post Doctoral Fellow), Mahaftha, D. (Graduate Student), Festok, K. (Graduate Student), Sultan, D. A. (Lead Principal Investigator), Ayyub, D. B. M. (Lead Principal Investigator), Al-Ghamdi, D. S. (Lead Principal Investigator), Yarkan, D. S. (Principal Investigator), Hasna, P. M. (Principal Investigator), Allah Bakhsh, F. M. (Post Doctoral Fellow), El-Saigh, D. A. (Consultant) & Amanipour, H. (Graduate Student)
1/03/23 → 1/03/28
Project: Applied Research
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Accelerating density of states prediction in Zn-doped MgO nanoparticles via kernel-optimized weighted k-NN
Kurban, H., Sharma, P., Dalkilic, M. M. & Kurban, M., 20 Aug 2025, In: Scientific Reports. 15, 1, 30524.Research output: Contribution to journal › Article › peer-review
Open Access -
A Novel Discrete Time Series Representation With De Bruijn Graphs for Enhanced Forecasting Using TimesNet
Onur Cakiroglu, M., Kurban, H., Buxton, E. & Dalkilic, M., 14 Jul 2025, In: IEEE Access. 13, p. 123182-123198 17 p.Research output: Contribution to journal › Article › peer-review
Open Access -
CrysMTM: a multiphase, temperature-resolved, multimodal dataset for crystalline materials
Polat, C., Serpedin, E., Kurban, M. & Kurban, H., 30 Sept 2025, In: Machine Learning: Science and Technology. 6, 3, 030603.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Data-Efficient Hydrogen Adsorption Prediction in Copper Nanoclusters: A Computer Vision-Based Transfer Learning Approach
Polat, C., Kurban, H., Serpedin, E. & Kurban, M., 22 May 2025, 2025 Ieee 19th International Conference On Compatibility, Power Electronics And Power Engineering, Cpe-powereng. Institute of Electrical and Electronics Engineers Inc., 6 p. (Compatibility Power Electronics And Power Engineering).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Deep Temporal and Structural Embeddings for Robust Unsupervised Anomaly Detection in Dynamic Graphs
Abdaljalil, S., Kurban, H., Atat, R., Serpedin, E. & Qaraqe, K., 3 Jul 2025, In: IEEE Open Journal of the Computer Society. 6, p. 1100-1109 10 p.Research output: Contribution to journal › Article › peer-review
Open Access