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Dr. Ahmedul Kabir

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

I completed my Ph.D. in Computer Science form Worcester Polytechnic Institute (WPI), Massachusetts, USA in 2018. The title of my dissertation was "Mixed Bagging: A Novel Ensemble Learning Framework for Supervised Classification based on Instance Hardness". Prior to that, I completed my B.Sc. (Hons.) and M.S. in CSE from University of Dhaka. My principal areas of expertise 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.

Journals 

1.  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.

2.  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, January 2022. (Accepted)

3.  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. (Accepted)

4.  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.

5.  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.

6.  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.

7.  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.

8.  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.

9.  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.

10.  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.

11.  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 

1.  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.

2.  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.

3.  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.

4.  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.

5.  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.

6.  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.

7.  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.

8.  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.

9.  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.

10.  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.

11.  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, Data Mining and Data Warehousing

Bachelor's level: Artificial Intelligence, Analysis of Algorithms, Discrete Mathematics, Operating Systems, Object Oriented Programming 


kabir@iit.du.ac.bd

?   “A Patient Care Robot with Automated Path Planning: A Case Study of Zero Shot Learning

Role: Co-Principal Investigator

Funded by: Ministry of Science and Technology, Govt. of Bangladesh

Year: 2021

?  “Developing a Prototype for Bengali Braille to Text Conversion”

Role: Principal Investigator

Funded by: ICT innovation fund, ICT Division, Govt. of Bangladesh

Year: 2019-20

?  “Development of a Prototype Learning Tool for Autistic Children”

Role: Principal Investigator

Funded by: University Grants Commission, Bangladesh

Year: 2019-20

?   “Developing an App to Improve use of Partograph during Intra-natal Period

Role: Co-supervisor

Funded by: Terre des hommes Foundation, an international charitable organization

Year: 2019-20