الدكتور حسن قربان

أستاذ مساعد

البريد الإلكتروني

hkurban@hbku.edu.qa

موقع المكتب

246S

الدكتور حسن قربان

أستاذ مساعد

المؤهلات العلمية

PhD in Computer Science

الكيان

كلية العلوم والهندسة

السيرة الذاتية

Dr. Hasan Kurban is an Assistant Professor at the College of Science and Engineering. He is also an Adjunct Associate Professor of Computer Science and Data Science at Indiana University, Bloomington, USA, and 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.

PhD in Computer Science

Indiana University, Bloomington, United States

2017

  • Artificial Intelligence
  • Software Engineering
  • Data Science
  • Big Data

Assistant Professor

College of Science and Engineering, Hamad Bin Khalifa University

2024 - Present

Adjunct Assistant Professor

Electrical and Computer Engineering, Texas A&M University at Qatar

2024 - Present

Adjunct Associate Professor

Computer Science and Data Science, Indiana University, Bloomington, United States

2023 - Present

Assistant Professor

Electrical and Computer Engineering, Texas A&M University at Qatar

2023 - 2024

Visiting Associate Professor

Computer Science and Data Science, Indiana University, Bloomington, United States

2021- 2023

Cakiroglu, M. O., Kurban, H., Sharma, P., Kulekci, M. O., Buxton, E. K., Raeeszadeh-Sarmazdeh, M., & Dalkilic, M. M. (2024). An extended de Bruijn graph for feature engineering over biological sequential data. Machine Learning: Science and Technology, 5(3), 035020.

Kurban, H., Kurban, M., & Dalkilic, M. M. (2022). Rapidly predicting Kohn–Sham total energy using data-centric AI. Scientific Reports, 12(1), 14403.

Sharma, P., Kurban, H., & Dalkilic, M. M. (2022). DCEM: An R package for clustering big data via data-centric modification of expectation maximization. SoftwareX, 17, 100944.

Kurban, H., Sharma, P., & Dalkilic, M. M. (2021). Data expressiveness and its use in data-centric AI. In Proceedings of NeurIPS Data-Centric AI Workshop.

Kurban, H., Jenne, M., & Dalkilic, M. M. (2017). Using data to build a better EM: EM* for big data. International Journal of Data Science and Analytics, 4, 83–89.

  • 2024; Transformative Educational Experience Grant by Texas A&M University at Qatar.
  • 2024; Multiversity Academic Grant, by Texas A&M University at Qatar.
  • 2017; Nomination for Researcher of the Year, Indiana University of Bloomington.
  • 2017; Best Poster Award: IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, Austin, TX.
  • 2016; Best Paper Award: IEEE International Conference on Data Science and Advanced Analytics, Montreal, Canada.