Md. Khademul Islam Molla

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	All	Since 2019
Citations	1781	984
h-index	21	16
i10-index	52	30

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Co-authors

Keikichi HiroseUniversity of Tokyo, Prof. EmeritusVerified email at gavo.t.u-tokyo.ac.jp
Md Rabiul IslamUTHealth at San AntonioVerified email at sip.tuat.ac.jp
Toshihisa TanakaTokyo University of Agriculture and TechnologyVerified email at cc.tuat.ac.jp
Nobuaki MinematsuThe University of TokyoVerified email at gavo.t.u-tokyo.ac.jp
Shamim AhmadUniversity of RajshahiVerified email at ru.ac.bd
Md. Kamrul HasanElectrical and Electronic Engineering, Bangladesh University of Engineering and TechnologyVerified email at eee.buet.ac.bd
Tomasz M. RutkowskiRIKEN AIP & The University of Tokyo & Nicolaus Copernicus UniversityVerified email at bci-lab.info
Md Rashed-Al-MahfuzResearch Asst, University of Illinois at Urbana-Champaign, USA; Asst Prof, University of RajshahiVerified email at ru.ac.bd
Dr. M Sayedur RahmanProfessor, Department of Statistics, Rajshahi University, Bangladesh. www.statru.orgVerified email at ru.ac.bd
Sujan Kumar Roy, Ph. D.Associate Professor, Department of Computer Science & Engineering, University of Rajshahi, RajshahiVerified email at ru.ac.bd
Erhan DegerJPMorgan Chase & CoVerified email at 08.alumni.u-tokyo.ac.jp
Masaki NakanishiUniversity of California San DiegoVerified email at sccn.ucsd.edu
ANK Zaman, PhDWilfrid Laurier University (WLU)Verified email at wlu.ca
Andrzej CichockiSystems Research Institute, Nicolaus Copernicus University, RIKEN (AIP)Verified email at riken.jp
Pabitra BanikProfessor, Agricultural and Ecological Research Unit, Indian Statistical InstituteVerified email at isical.ac.in
Md Zahangir AlomPh.D. in Electrical and Computer EngineeringVerified email at udayton.edu
Biplob PramanikSenior Lecturer and ARC DECRA Fellow (Water Science & Technology), RMIT University, AustraliaVerified email at rmit.edu.au

Md. Khademul Islam Molla

Professor of Computer Science and Engineering, University of Rajshahi, Bangladesh

Verified email at ru.ac.bd - Homepage

Brain Computer Interfacing (BCI)Biomedical engineering Speech and Audio Signal Processing Time series analysis


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Feature selection for intrusion detection using random forest MAM Hasan, M Nasser, S Ahmad, KI Molla Journal of information security 7 (3), 129-140, 2016	208	2016
Single-mixture audio source separation by subspace decomposition of Hilbert spectrum MKI Molla, K Hirose IEEE Transactions on Audio, Speech, and Language Processing 15 (3), 893-900, 2007	116	2007
Artifact suppression from EEG signals using data adaptive time domain filtering KI Molla, R Islam, T Tanaka, TM Rutkowski Neurocomputing, 2012	80	2012
Separation of EOG artifacts from EEG signals using bivariate EMD MKI Molla, T Tanaka, TM Rutkowski, A Cichocki Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International …, 2010	61	2010
Discriminative feature selection-based motor imagery classification using EEG signal MKI Molla, A Al Shiam, MR Islam, T Tanaka IEEE Access 8, 98255-98265, 2020	55	2020
Empirical mode decomposition analysis of climate changes with special reference to rainfall data MKI Molla, MS Rahman, A Sumi, P Banik Discrete Dynamics in Nature and Society 2006, 1-17, 2006	55	2006
Multiband tangent space mapping and feature selection for classification of EEG during motor imagery MR Islam, T Tanaka, MKI Molla Journal of neural engineering 15 (4), 046021, 2018	50	2018
Protein subcellular localization prediction using multiple kernel learning based support vector machine MAM Hasan, S Ahmad, MKI Molla Molecular BioSystems 13 (4), 785-795, 2017	46	2017
On the effectiveness of MFCCs and their statistical distribution properties in speaker identification KI Molla, K Hirose 2004 IEEE Symposium on Virtual Environments, Human-Computer Interfaces and …, 2004	46	2004
Preparation of Activated Carbon/TiO₂ Nanohybrids for Photodegradation of Reactive Red-35 Dye Using Sunlight B Mondol, A Sarker, AM Shareque, SC Dey, MT Islam, AK Das, ... Photochem 1 (1), 54-66, 2021	39	2021
Multivariate EMD based approach to EOG artifacts separation from EEG MKI Molla, T Tanaka, TM Rutkowski 2012 IEEE international conference on acoustics, speech and signal …, 2012	38	2012
Unsupervised frequency-recognition method of SSVEPs using a filter bank implementation of binary subband CCA MR Islam, MKI Molla, M Nakanishi, T Tanaka Journal of neural engineering 14 (2), 026007, 2017	37	2017
Analysis of temperature change under global warming impact using empirical mode decomposition K Molla, A Sumi, M Rahman Int. J. Information Technol 3, 131-139, 2006	34	2006
Epileptic seizure detection in EEG using mutual information-based best individual feature selection KM Hassan, MR Islam, TT Nguyen, MKI Molla Expert Systems with Applications 193, 116414, 2022	32	2022
predCar-site: Carbonylation sites prediction in proteins using support vector machine with resolving data imbalanced issue MAM Hasan, J Li, S Ahmad, MKI Molla Analytical biochemistry 525, 107-113, 2017	31	2017
Automatic life-logging: A novel approach to sense real-world activities by environmental sound cues and common sense MAM Shaikh, MKI Molla, K Hirose 2008 11th International Conference on Computer and Information Technology …, 2008	31	2008
Multiband prediction model for financial time series with multivariate empirical mode decomposition MR Islam, M Rashed-Al-Mahfuz, S Ahmad, MKI Molla Discrete Dynamics in Nature and Society 2012, 2012	29	2012
A robust digital audio watermarking algorithm using empirical mode decomposition ANK Zaman, KMI Khalilullah, MW Islam, MKI Molla CCECE 2010, 1-4, 2010	29	2010
Graph eigen decomposition-based feature-selection method for epileptic seizure detection using electroencephalography MKI Molla, KM Hassan, MR Islam, T Tanaka Sensors 20 (16), 4639, 2020	27	2020
Epileptic seizure detection from EEG signals using multiband features with feedforward neural network KM Hassan, MR Islam, T Tanaka, MKI Molla 2019 International conference on cyberworlds (CW), 231-238, 2019	22	2019

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