Faculty

Journals 

1. Fuad Rahman, Koushik Roy, Md. Sazzad Hossain, Pritom Kumar Saha, Shadman Rohan, Imranul Ashrafi, Ifty Mohammad Rezwan, B M Mainul Hossain, Ahmedul Kabir, Nabeel Mohammed, "A Multifaceted Evaluation of Representation of Graphemes for Practically Effective Bangla OCR", International Journal on Document Analysis and Recognition (IJDAR), Springer Nature, Aug 2023.
2. Kulsum Ara Lipi, Sumaita Faria Karim Adrita, Zannatul Ferdous Tunny, MD Abir Hasan Munna and Ahmedul Kabir, “Static-Gesture Word Recognition in Bangla Sign Language Using Convolutional Neural Network”, TELKOMNIKA Telecommunication Computing Electronics and Control (Scopus indexed journal), Vol. 20, No. 5, pp. 1109-1116, October 2022.
3. Mahir Mahbub, Suravi Akhter, Ahmedul Kabir and Zerina Begum, “A Comparative Study of Different Embedding Methods for Context-based Bengali Next Word Prediction”, Dhaka University Journal of Applied Science and Engineering, Volume 7, No 2, pp. 8-15, July 2022.
4. Mahir Mahbub, Ahmedul Kabir, Selina Sharmin, Sumon Ahmed and Md. Shariful Islam, “A Segmentation and Labeling Tool for Constructing a Dataset for Bangla Optical Character Recognition”, Jagannath University Journal of Science, Volume 9, No 1, June 2022.
5. Mohammad Sadat Hussain Rafsanjani and Ahmedul Kabir, “Violent Human Behavior Detection from Videos using Machine Learning”, Dhaka University Journal of Applied Science and Engineering, Volume 7, No 1, pp. 22-28, January 2022.
6. Md. Sefat-E-Mahadi, Md Ashfaqul Islam, Mohammed Shafiul Alam Khan and Ahmedul Kabir, “A Neural Network-based Approach for Extractive Summarization of Bengali Documents” Bangladesh Journal of Scientific Research (BJSR), Vol 34, 2021.
7. Suravi Akhter, Sumon Ahmed, Ahmedul Kabir and Mohammad Shoyaib, “A Relief Based Feature Subset Selection Method” Dhaka University Journal of Applied Science and Engineering, Special Issue Volume 6, No 2, July 2021. ***Best Paper Award***
8. Ahmedul Kabir, Carolina Ruiz, Sergio A. Alvarez, and Majaz Moonis, "Regression, Classification and Ensemble Machine Learning Approaches to Forecasting Clinical Outcomes in Ischemic Stroke" Book chapter 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. July 2018.
9. 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, July-December 2016.
10. Ahmedul Kabir and Shaily Kabir, "Facial Expression Recognition Using Region-Based Motion Estimation", Dhaka University Journal of Science, Vol. 58 No. 2, pp. 175-181, July 2010.
11. 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, ISSN 1022-2502, Volume 56, No. 2, pp. 237-242, July 2008.
12. Hafiz Md. Hasan Babu, Ahmedul Kabir and A.S.M. Fazle Rabbi, “On the Modified Technique for Better Data Compression”, Bangladesh Journal of Scientific and Industrial Research, 36(1-4), pp. 84-92, January-December 2001.
13. Khandaker Abir Rahman, Ahmedul Kabir and Shaikhul Arefin Khan, “Proposing a Standard Huffman Tree and Character Codes for Bangla Text Compression”, Journal of Electrical, Electronic and Communication Technology, Stamford University Bangladesh, ISSN 1995-5383, Volume , Issue 1, October 2007, pages 107-111.
14. Ahmedul Kabir, Khandaker Abir Rahman, Ishtiaque Hussain, “Comparative Study of LMS and NLMS Algorithms in Interference Cancellation of Speech Signals”, Journal of State University of Bangladesh, ISSN 1998-3786 (Online), Volume 1 No. 1, July 2007, pages 57-65.

Conferences (13 in total)

1. Suravi Akhter, Afia Sajeeda and Ahmedul Kabir, "A Distance-based Feature Selection Approach for Software Anomaly Detection", 18th International Conference on Novel Approaches to Software Engineering (ENASE 2023), Prague, Czech Republic, Apr 2023.
2. Rafed Yasir and Ahmedul Kabir, “Exploring the Impact of Code Style in Identifying Good Programmers”, 10^th International Workshop on on Quantitative Approaches to Software Quality (QuASoQ 2022) in conjunction with 29^th Asia-Pacific Software Engineering Conference (APSEC 2022). Virtual, Dec 2022.
3. Zikra Amin and Ahmedul Kabir, “A Performance Analysis of Machine Learning Models for Attack Prediction using Different Feature Selection Techniques”, 7th IEEE/ACIS International Conference on Big Data, Cloud Computing, and Data Science Engineering (BCD 2022), Da Nang, Vietnam, Aug 2022.
4. Md Abdul Masud Rana and Ahmedul Kabir, “Fraud Detection in Automotive Insurance Domain using Machine Learning”, 7th International Conference on Big Data Analytics, Data Mining and Computational Intelligence, Lisbon, Portugal, July 2022.
5. Ishtiaque Hussain, Ahmed Shamim Hasan, Rafed Muhammad Yasir, Ahmedul Kabir and Syed Ishtiaque Ahmed, "How Well Does Undergraduate Education Prepare Software Engineers? Perspectives of Practitioners in Bangladesh," IEEE 32nd Conference on Software Engineering Education and Training (CSEE&T), Munich, Germany, Nov 2020.
6. Shihab Shahriar Khan, Nishat Tasnim Niloy, Md. Aquib Azmain and Ahmedul Kabir, "Impact of Label Noise and Efficacy of Noise Filters in Software Defect Prediction", 32nd International Conference on Software Engineering & Knowledge Engineering (SEKE 2020), Pittsburgh, USA, July 2020.
7. Fazle Rabbi, Md. Nazmul Haque, Md. Eusha Kadir, Md. Saeed Siddik and Ahmedul Kabir, " An Ensemble Approach to Detect Code Comment Inconsistencies using Topic Modeling", 32nd International Conference on Software Engineering & Knowledge Engineering (SEKE 2020), Pittsburgh, USA, July 2020.
8. 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.
9. Ali Zafar Sadiq, Ahmedul Kabir and Kazi Sakib, "Finding Erroneous Components from Change Coupled Relations at Fix-inducing Changes", 31st International Conference on Software Engineering & Knowledge Engineering (SEKE 2019), Lisbon, Portugal, June 2019.
10. Ali Zafar Sadiq, Ahmedul Kabir, Pritom Saha Akash and Md. Jubair Ibna Mostafa, "Analyzing Corrective Maintenance using Change Coupled Clusters at Fix-inducing Changes," 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE),  February 2019.
11. 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.
12. 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.
13. Ahmedul Kabir, Carolina Ruiz, Sergio A. Alvarez, Nazish Riaz, and Majaz Moonis. "Model-Based Clustering of Ischemic Stroke Patients". Proc. Eighth International Conference on Health Informatics (HEALTHINF 2015). Lisbon, Portugal, Jan 2015.

Books

Conference Papers

Journal Papers

Others

M.Phil. and Master's level: Machine Learning, Software Analytics, Formal Methods and Models in Software Engineering

Bachelor's level: Artificial Intelligence, Data Mining and Knowledge Discovery, Analysis of Algorithms, Discrete Mathematics, Operating Systems, Object Oriented Programming 

kabir@iit.du.ac.bd