Dr. Ch. Md. Rakin Haider
Dr. Ch. Md. Rakin Haider
ডঃ চৌধুরী মোঃ রাকিন হায়দার
Assistant Professor
Biography
I am

Ch. Md. Rakin Haider, an Assistant Professor of the Department of Computer Science and Engineering (CSE) at Bangladesh University of Engineering and Technology (BUET). I completed my PhD from Purdue University under the supervision of Prof. Chris Clifton. My research interests are Machine Learning, Data Mining, ML for Sys, and Sys for ML. Previously, I completed my M.Sc and B.Sc in Computer Science and Engineering from BUET.

Education
  • PhD in Computer Science
  • - Purdue University
  • M.Sc in Computer Science And Engineering
  • - Bangladesh University Of Engineering And technology
  • B.Sc in Computer Science And Engineering
  • - Bangladesh University Of Engineering And technology
  • HSC
  • - Notre Dame College
  • SSC
  • - St. Joseph Higher Secondary School
Research Interest
Machine Learning
Artificial Intelligence
Fairness
Robustness
ML for Sys, Sys for ML
Spatial Database
Publications
1. Chowdhury Mohammad Rakin Haider, Christopher W. Clifton, Ming Yin, Do Crowdsourced Fairness Preferences Correlate with Risk Perceptions?, 29th International Conference on Intelligent User Interfaces, IUI 2024, 304--324, 2024. Conference DOI
2. Chowdhury Mohammad Rakin Haider, Chris Clifton, Yan Zhou, Unfair AI: It Isn't Just Biased Data, IEEE International Conference on Data Mining, (ICDM), 957--962, 2022. Conference DOI
3. Abdullah Al-Mamun, Ch. Md. Rakin Haider, Jianguo Wang, Walid G. Aref, The AI + R - tree: An Instance-optimized R - tree, 2022 23rd IEEE International Conference on Mobile Data Management (MDM), 9--18, 2022. Conference DOI
4. Ch Md Rakin Haider, Anindya Iqbal, Atif Hasan Rahman, M Sohel Rahman, An ensemble learning based approach for impression fraud detection in mobile advertising, Journal of Network and Computer Applications, 112, 126--141, 2018. Journal
5. C. M. R. Haider, Arif Arman, Mohammed Eunus Ali, Farhana Farhana Murtaza Choudhury, Continuous Maximum Visibility Query for a Moving Target, Australasian Database Conference (ADC), 82--94, 2016. Conference