Research output per year
Research output 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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p-clustval: a novel p-adic approach for enhanced clustering of high-dimensional single-cell RNASeq data
Sharma, P., Mishra, S., Kurban, H. & Dalkilic, M., 14 Jan 2025, In: International Journal of Data Science and Analytics. 604790.Research output: Contribution to journal › Article › peer-review
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QUANTUMSHELLNET: Ground-state eigenvalue prediction of materials using electronic shell structures and fermionic properties via convolutions
Polat, C., Kurban, H. & Kurban, M., Jan 2025, In: Computational Materials Science. 246, 113366.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
An extended de Bruijn graph for feature engineering over biological sequential data
Cakiroglu, M. O., Kurban, H., Sharma, P., Kulekci, M. O., Buxton, E. K., Raeeszadeh-Sarmazdeh, M. & Dalkilic, M. M., 1 Sept 2024, In: Machine Learning: Science and Technology. 5, 3, 14 p., 035020.Research output: Contribution to journal › Article › peer-review
Open Access3 Citations (Scopus) -
A Noise-Adaptive Machine Learning Framework for Optimizing User Grouping in Dynamic IM-OFDMA Systems
Ay, F., Althunibat, S., Qaraqe, K. & Kurban, H., 2024, (Accepted/In press) In: IEEE Transactions on Communications.Research output: Contribution to journal › Article › peer-review
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A Novel Discrete Time Series Representation with De Bruijn Graphs for Enhanced Forecasting Using TimesNet (Extended Abstract)
Cakiroglu, M. O., Kurban, H., Buxton, E. K. & Dalkilic, M., 10 Oct 2024, 2024 IEEE 11th International Conference on Data Science and Advanced Analytics, DSAA 2024. Institute of Electrical and Electronics Engineers Inc., p. 439-441 3 p. (Proceedings Of The International Conference On Data Science And Advanced Analytics).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Citation (Scopus)