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Dr. Ahmedul Kabir

Full Name Dr. Ahmedul Kabir
Designation Assistant Professor
Qualification Ph.D. (WPI, USA), M.S. and B.Sc. (DU)
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Status On Duty

My principle areas of interest are Machine Learning and Data Mining. I would like to conduct research in these fields both theoretically and in practical applications for different domains. I am also interested in Software Analytics and Natural Language Processing.

Ahmedul Kabir, Carolina Ruiz, Sergio A. Alvarez, "Mixed Bagging: A Novel Ensemble Learning Framework for Supervised Classification using Instance Hardness", IEEE International Conference on Data Mining (ICDM), Singapore, Nov 2018.

Ahmedul Kabir, Carolina Ruiz, Sergio A. Alvarez, and Majaz Moonis, "Regression, Classification and Ensemble Machine Learning Approaches to Forecasting Clinical Outcomes in Ischemic Stroke" In Biomedical Engineering Systems and Technologies. Communications in Computer and Information Science. N. Peixoto, M. Silveira, H.H., Ali, C. Maciel, E.L. van den Broek (Eds.). Vol. 881, pp. 376-402. Springer. 2018. DOI: https://doi.org/10.1007/978-3-319-94806-5_20

Pritom Saha Akash, Ali Zafar Sadiq and Ahmedul Kabir, “An Approach of Extracting God Class Exploiting Both Structural and Semantic Similarity”, 14th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE 2019), Crete, Greece, May 2019

Ali Zafar Sadiq, Ahmedul Kabir and Kazi Sakib, "Finding Erroneous Components from Change Coupled Relations at Fix-inducing Changes", In Proceedings of the 31st International Conference on Software Engineering & Knowledge Engineering (SEKE 2019), Lisbon, Portugal, June 2019.

Ahmedul Kabir, Carolina Ruiz, Sergio A. Alvarez, and Majaz Moonis, "Predicting Outcome of Ischemic Stroke Patients using M5 Model Tree and Bootstrap Aggregating". Proc. Tenth International Conference on Health Informatics (HEALTHINF 2017), Porto, Portugal. Jan 2017.

Ahmedul Kabir, Carolina Ruiz, Sergio A. Alvarez, and Majaz Moonis, "Comparison of Conventional Regression with Machine Learning Methods for Stroke Outcome Prediction". Indian Journal of Industrial and Applied Mathematics, Vol. 7 No. 2, December 2016. Springer.

Ahmedul Kabir, Carolina Ruiz, Sergio A. Alvarez, Nazish Riaz, and Majaz Moonis. "Model-Based Clustering of Ischemic Stroke Patients" (full paper, acceptance rate 11%). In Proc. Eighth International Conference on Health Informatics (HEALTHINF 2015), pp. 172-181. Lisbon, Portugal. Jan 12-15, 2015.

Ahmedul Kabir and Shaily Kabir, "Facial Expression Recognition Using Region-Based Motion Estimation", Dhaka University Journal of Science, Vol. 58 No. 2, July 2010.

Ahmedul Kabir, Khandaker Abir Rahman. Md. Rezaul Hasan and Suraiya Pervin, “Comparative Analysis of Adaptive Filter Algorithms in Noise Cancellation”, Dhaka University Journal of Science, Vol. 56 No. 2, July 2008.


Books

Conference Papers

Journal Papers

Others

As Assistant Professor, IIT, DU: Artificial Intelligence, Software Analytics, Next semester: Discrete Mathematics, Formal Methods and Models in Software Engineering

As Adjunct Instructor, Dept. of CS, WPI, USA: Introduction to Artificial Intelligence, Analysis of Algorithms, Knowledge Discovery and Data Mining

As Lecturer, IIT, DU: Data Mining, Artificial Intelligence, Discrete Mathematics, Operating Systems, Object Oriented Programming 

kabir@iit.du.ac.bd

Developing an app to improve use of partograph during intra-natal period

Funded by: Terre des hommes Foundation