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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EX-QNRF-CCEC-48: Real-Time Self-Adaptive & Autonomous Calibration of CO₂ Leak Detection Sensors in the Presence of Impurities Using Wavelet Transform and ML Algorithms
Rahman, M. A. (Lead Principal Investigator), Kurban, H. (Principal Investigator), Hassan, I. (Consultant), Hamilton, M. (Consultant) & Khandakar, A. (Principal Investigator)
15/03/26 → 15/03/28
Project: Applied Research
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EX-QNRF-MCSC-12: Advancing AI-Driven Governance in Qatar’s Charitable Sector: A Trustworthy Arabic LLM for Regulatory Compliance
Kurban, H. (Lead Principal Investigator), Serpedin, E. (Consultant), Mahmood, A. (Graduate Student) & Dheen Meeran, M. R. (Graduate Student)
20/02/26 → 20/08/26
Project: Applied Research
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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) & 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), 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) & Sultan, D. A. (Lead Principal Investigator)
1/03/23 → 1/03/28
Project: Applied Research
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HBKU-OVPR-HHW-01-16: AI4Science
Chawla, S. (Lead Principal Investigator), Zekri, A. (Principal Investigator), Biswas, K. H. (Principal Investigator), Kurban, H. (Principal Investigator) & Bouhali, O. (Principal Investigator)
1/11/25 → 1/03/26
Project: Others
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Bayesian Probabilistic Knowledge from Diameter Prior for Decision Fusion to Detect Lung Nodule Heterogeneity
Islam, M. R., Hasan, M. K., Kurban, H. & Serpedin, E., 2026, (Accepted/In press) In: IEEE Transactions on Artificial Intelligence.Research output: Contribution to journal › Article › peer-review
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Engineered MgO Nanoparticles with Tunable Electronic Signatures for Energy Applications
Kurban, M., Polat, C., Serpedin, E. & Kurban, H., 24 Feb 2026, In: ACS Omega. 11, 7, p. 11772-11789 18 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Geometric-k-means: a bound free approach to fast and eco-friendly k-means
Sharma, P., Malec, M., Kurban, H., Kulekci, O. & Dalkilic, M., 27 Jan 2026, In: Machine Learning. 115, 2, 33 p., 30.Research output: Contribution to journal › Article › peer-review
Open Access -
Multimodal explainable artificial intelligence-driven analysis of quantum size effects in copper nanoclusters for hydrogen storage
Kurban, M., Polat, C., Serpedin, E. & Kurban, H., 16 Jan 2026, In: International Journal of Hydrogen Energy. 201, 14 p., 152950.Research output: Contribution to journal › Article › peer-review
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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 Access5 Link opens in a new tab Citations (Scopus)