Md. Mahmodul Hasan

Education

B.Sc(Engg.) in CSE (2017)
Mawlana Bhashani Science and Technology University (MBSTU)

Higher Secondary Certificate (2013)
Notre Dame College

Secondary School Certificate (2011)
Madhupur Shahid Smrity High School

Industry Experience

Software Engineer
Samsung R&D Institute Bangladesh (February 2020 - April 2021)

Software Developer (Intern)
Sikraft IoT (September 2019 - January 2020)

Area of Specialization

* Explainable Artificial Intelligence
* Deep Learning in Healthcare
* Medical Image Analysis
* Machine Learning
* Bioinformatics

Journal Papers

- Hasan, M. M., Islam, N., & Rahman, M. M. (2020). Gastrointestinal polyp detection through a fusion of contourlet transform and Neural features. Journal of King Saud University - Computer and Information Sciences. Retrieved from https://doi.org/10.1016/j.jksuci.2019.12.013

- Habib, N., Hasan, M. M., & Rahman, M. M. (2020). Fusion of Deep Convolutional Neural Network with PCA and Logistic Regression for diagnosis of pediatric pneumonia on chest X-Rays. Network Biology, 2020(3), 62ā€“76.

- Habib, N., Hasan, M. M., Reza, M. M., & Rahman, M. M. (2020). Ensemble of CheXNet and VGG-19 Feature Extractor with Random Forest Classifier for Pediatric Pneumonia Detection. SN Computer Science. Retrieved from https://doi.org/10.1007/s42979-020-00373-y

- Rahman, M. W., Islam, R., Hasan, A., Bithi, N. I., Hasan, M. M., & Rahman, M. M. (2020). Intelligent waste management system using deep learning with IoT. Journal of King Saud University - Computer and Information Sciences. Retrieved from https://doi.org/10.1016/j.jksuci.2020.08.016

- Rahman, M. W., Islam, R., Hasan, M. M., Mia, S., & Rahman, M. M. (2020). IoT Based Smart Assistant for Blind Person and Smart Home Using the Bengali Language. SN Computer Science. Retrieved from https://doi.org/10.1007/s42979-020-00317-6

- Islam, R., Rahman, M. W., Rubaiat, R., Hasan, M. M., Reza, M. M., & Rahman, M. M. (2021). LoRa and server-based home automation using the internet of things (IoT). Journal of King Saud University - Computer and Information Sciences. Retrieved from https://doi.org/10.1016/j.jksuci.2020.12.020

- Khan, S. I., Shahrior, A., Karim, R., Hasan, M., & Rahman, A. (2021). MultiNet: A deep neural network approach for detecting breast cancer through multi-scale feature fusion. Journal of King Saud University - Computer and Information Sciences. Retrieved from https://doi.org/10.1016/j.jksuci.2021.08.004

- Mostafiz, R., Uddin, M. S., Alam, N. A., Hasan, M. M., & Rahman, M. M. (2021). MRI-based brain tumor detection using the fusion of histogram oriented gradients and neural features. Evolutionary Intelligence. Retrieved from https://doi.org/10.1007/s12065-020-00550-1

- Rahman, M. M., Wadud, M. A. H., & Hasan, M. M. (2021). Computerized classification of gastrointestinal polyps using stacking ensemble of convolutional neural network. Informatics in Medicine Unlocked. Retrieved from https://doi.org/10.1016/j.imu.2021.100603

- Rahman, M. W., Tashfia, S. S., Islam, R., Hasan, M. M., Sultan, S. I., Mia, S., & Rahman, M. M. (2021). The architectural design of smart blind assistant using IoT with deep learning paradigm. Internet of Things (Netherlands). Retrieved from https://doi.org/10.1016/j.iot.2020.100344

Conference and Workshop Papers

- Hasan, M. M., Asaduzzaman, M., Rahman, M. M., Hossain, M. S., & Andersson, K. (2021). D3mciAD: Data-Driven Diagnosis of Mild Cognitive Impairment Utilizing Syntactic Images Generation and Neural Nets. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Retrieved from https://doi.org/10.1007/978-3-030-86993-9_33

Book Chapters

- Rahat, M., Hasan, M., Hasan, M. M., Islam, M. T., Rahman, M. S., Islam, A. K. M. K., & Rahman, M. M. (2021). Deep CNN-Based Mango Insect Classification. Retrieved from https://doi.org/10.1007/978-981-33-6424-0_5

Achievements

- Merit Scholarships of SSC Examination: Dhaka Board (Tangail)

- Merit Scholarships: Faulty of Engineering, Mawlana Bhashani Science and Technology University (from 2014 to 2018)

- RA Foundation award for excellence in 'Save Environment Project'