Image


ram@ru.ac.bd

Assistant Professor, Department of Computer Science and Engineering, University of Rajshahi, Rajshahi-6205, Bangladesh.


MD. RASHED-AL-MAHFUZ
ASSISTANT PROFESSOR
Computer Science & Engineering


Education Summary  
M.Sc. (Raj)

Research Interest  
Brain Dynamics, Behavioral Neuroscience, Machine Learning, Spatial cognition, Social cognition, Spatial navigation, Deep learning
Level Institution Year
Masters
(M.Sc.)
Department of Computer Science and Engineering, University of Rajshahi, Rajshahi, Bangladesh. 2008
Bachelor/Honors
(B.Sc. (Hons))
Department of Computer Science and Engineering, University of Rajshahi, Rajshahi, Bangladesh. 2007

Experience in Rajshahi University

Duration Organization/Institute Position
2015-08-28 to Department of Computer Science and Engineering ASSISTANT PROFESSOR
2014-04-16 to 2015-08-28 Department of Computer Science and Engineering LECTURER

Experience in other Organization/Institute

Duration Organization/Institute Position
2017-01-16 to 2018-06-20 University of Houston, Texas, USA. Research Assistant
2017-01-16 to 2018-06-20 University of Houston, Texas, USA Teaching Assistant

Journal

1. Md Rabiul Islam, Mohammad Ali Moni, Md Milon Islam, Md Rashed-Al-Mahfuz, Md Saiful Islam, Md Kamrul Hasan, Md Sabir Hossain, Mohiuddin Ahmad, Shahadat Uddin, AKM Azad, Salem A Alyami, Md Atiqur Rahman Ahad, Pietro Lio "Emotion Recognition from EEG Signal Focusing on Deep Learning and Shallow Learning Techniques" IEEE Access, vol. 9, pp. 94601-94624, 2021.

Published: June 2021
2. Biprodip Pal, Debashis Gupta, Md. Rashed-Al-Mahfuz, Salem A. Alyami, and Mohammad Ali Moni "Vulnerability in Deep Transfer Learning Models to Adversarial Fast Gradient Sign Attack for COVID-19 Prediction from Chest Radiography Images" Applied Sciences. 2021; 11(9):4233

Published: May 2021
3. Md. Rashed-Al-Mahfuz, Abedul Haque, Akm Azad, Salem A. Alyami, Julian M. W. Quinn, and Mohammad Ali Moni "Clinically Applicable Machine Learning Approaches to Identify Attributes of Chronic Kidney Disease (CKD) for Use in Low-Cost Diagnostic Screening" IEEE Journal of Translational Engineering in Health and Medicine ( Volume: 9)

Published: April 2021
4. Sakifa Aktar, Md Martuza Ahamad, Md Rashed-Al-Mahfuz, Akm Azad, Shahadat Uddin, AHM Kamal, Salem A Alyami, Ping-I Lin, Sheikh Mohammed Shariful Islam, Julian MW Quinn, Valsamma Eapen, Mohammad Ali Moni "Machine Learning Approach to Predicting COVID-19 Disease Severity Based on Clinical Blood Test Data: Statistical Analysis and Model Development." JMIR Medical Informatics, 2021.

Published: March 2021
5. Andrew Y. Paek, ..., Md Rashed-Al-Mahfuz et. al. "A Roadmap towards Standards for Neurally Controlled End Effectors" IEEE Open Journal of Engineering in Medicine and Biology, vol. 2, pp. 84-90, 2021

Published: February 2021
6. Rashed-Al-Mahfuz, M., Moni, M.A., Lio’, P. et al. "Deep convolutional neural networks based ECG beats classification to diagnose cardiovascular conditions." Biomedical Engineering Letters. (2021).

Published: February 2021
7. M. Rashed-Al-Mahfuz, M. A. Moni, S. Uddin, S. A. Alyami, M. A. Summers and V. Eapen "A Deep Convolutional Neural Network Method to Detect Seizures and Characteristic Frequencies Using Epileptic Electroencephalogram (EEG) Data" IEEE Journal of Translational Engineering in Health and Medicine, vol. 9, pp. 1-12, 2021, Art no. 2000112. doi: 10.1109/JTEHM.2021.3050925.

Published: January 2021
8. Md. Martuza Ahamad, Sakifa Aktar, Md. Rashed-Al-Mahfuz, Shahadat Uddin, Pietro Liò, Haoming Xu, Matthew A. Summers, Julian M.W. Quinn, Mohammad Ali Moni "A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients" Expert Systems with Applications Volume 160, 113661

Published: June 2020
9. Mohammad Ali Moni ; M. Babul Islam ; Md Rezanur Rahman ; Md Rashed-Al-Mahfuz; Md Abdul Awal; Sheikh Mohammed Shariful Islam; Md. Nurul Haque Mollah; Julian M. W. Quinn "Network-Based Computational Approach to Identify Delineating Common Cell Pathways Influencing Type 2 Diabetes and Diseases of Bone and Joints" IEEE Access ( Volume: 8 ), Page(s): 1486 - 1497

Published: December 2019
10. Rashed-Al-Mahfuz M,, Islam MR, Hirose K, Molla MKI "Artifact suppression and analysis of brain activities with electroencephalography signals." , Neural Regen Res. 2013;8(16):1500-1513.

Published: June 2013
11. Md. Rabiul Islam, Md. Rashed-Al-Mahfuz, Shamim Ahmed, Md. Khademul Islam Molla "Multiband Prediction Model for Financial Time Series with Mul- tivariate Empirical Mode Decomposition, Discrete Dynamics in Nature and Society, Volume 2012 (2012), Article ID 593018, 21 pages." Discrete Dynamics in Nature and Society, Article ID 593018, 21 pages

Published: February 2012
12. Md. Rabiul Hoque, Md. Rashed-Al-Mahfuz "A New Approach in Spatial Filtering to Reduce Speckle Noise" International Journal of Soft Computing and Engineering (IJSCE), ISSN: 2231-2307, Volume-1, Issue-3

Published: July 2011

Conference

1. Md Rashed-Al-Mahfuz, Md. Robiul Hoque, Bimal Kumar Pramanik, Md. Ekramul Hamid, and Mohammad Ali Moni "SVM Model for Feature Selection to Increase Accuracy and Reduce False Positive Rate in Falls Detection" In the Proceedings of The International Conference on Computer, Communication, Chemical, Material and Electronic Engineering (IC4ME2-2019), IEEE.

Published: July 2019
2. Akter, M.S.; Islam, M.R.; Rashed-Al-Mahfuz, M.; Molla, M.K.I. "Speech enhancement using spectral weighting with EMD-based post filtering Dec. 2013." Advances in Electrical Engineering (ICAEE), 2013 International Conference on , vol., no., pp.29,32, 19-21

Published: December 2013

Theory of Statistics

Description Not Provided

Linear Algebra

Description Not Provided

Upcoming Research Talks I will be presenting:        

1.

Topics: Deep Learning and its application.

Date: 

Place: 

Not Available