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Welcome to my personal website. For my institutional webpage, please visit 





Updates:
 
https://sites.google.com/site/muftimahmud/video-track.png?attredirects=0



Interference-aware Multipath Video Streaming in Vehicular Environments.
A. Aliyu, A.H. Abdullah, N. Aslam, A. Altameem, R.Z. Radzi, R. Kharel, M. Mahmud, S. Prakash, U.M. Joda.  
IEEE Access, [epub ahead of print]. 
   
 
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A Brain-Inspired Trust Management Model to Assure Security in a Cloud based IoT Framework for Neuroscience Applications.
M. Mahmud, , M. S. Kaiser, M.M. Rahman, M.A. Rahman, A. Shabut, S. Al Mamun, A. Hussain. 
Cogn. Comput., [epub ahead of print; M. Mahmud and M.S. Kaiser are equal contributors]. 
   
 



Applications of Deep Learning and Reinforcement Learning to Biological Data.
M. Mahmud, , M. S. Kaiser, A. Hussain, S. Vassanelli. 
IEEE Trans. Neural Netw. Learn. Syst,  [epub ahead of print; M. Mahmud and M.S. Kaiser are equal contributors].
   
 
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An Energy Conserving Routing Scheme for Wireless Body Sensor Nanonetwork Communication.
F. Afsana, M.A. Rahman, M.R. Ahmed, M. Mahmud, , M. S. Kaiser. 
IEEE Access[M. Mahmud and M.S. Kaiser are co-senior authors].
   
 


Advances in Crowd Analysis for Urban Applications through Urban Event Detection.
M.S. Kaiser, K. Lwin, M. Mahmud, D. Hajializadeh, T. Chaipimonplin, A. Sarhan, M.A. Hossain. 
IEEE Trans. Intell. Transp. Syst., [epub ahead of print]. 
   
 



Early Hippocampal Hyperexcitability in PS2APP Mice: Role of Mutant PS2 and APP.
R. Fontana, M. Agostini, E. Murana, M. Mahmud, M. Rubega, G. Sparacino, S. Vassanelli, C. Fasolato. 
Neurobiol. Aging, 50: 64-76. 2017. 
   
 

 

Trends & Challenges in Neuroengineering: Towards ‘Intelligent’ Neuroprostheses through Brain-‘Brain Inspired Systems’ Communication.
S. Vassanelli, M. Mahmud
Front. Neurosci., 10:438. 2016. 
   
 



Processing and Analysis of Multichannel Extracellular Neuronal Signals: State-of-the-art and Challenges.
M. Mahmud, S. Vassanelli
Front. Neurosci., 10:248. 2016. 
   
 

Differential Modulation of Excitatory and Inhibitory Neurons during Periodic Stimulation.
M. Mahmud, S. Vassanelli
Front. Neurosci., 10:62. 2016. 
   
 

 

An Automated Method for Characterization of Evoked Responses in Single Local Field Potentials Recorded from Rat Barrel Cortex Under Mechanical Whisker Stimulation.
M. Mahmud, C. Cecchetto, S. Vassanelli 
Cogn. Comput., 8(5): 935-945. 2016. 
   
 


 
A Neuro-Fuzzy based Control System for Solar Powered Wheelchair based on Feature Extraction of Surface EMG signal.
M. S. Kaiser, Z. I. Chowdhury, S. Al Mamun, A. Hussain, M. Mahmud
Cogn. Comput., 8(5): 946-954. 2016. 
   
 


 

Co-edited a special issue on Advances in Brain-Inspired Cognitive Systems with Prof. Amir Hussain, Prof. Bin Luo, and Prof. Jin Tang. The main goal had been to collect cutting edge research on Brain-Inspired Cognitive Systems and their applications.
   
 


 
As an Associate Editor, on behalf of the Chief Editor (Prof. Amir Hussain, School of Natural Sciences, University of Stirling, UK), I invite you to submit your original research to the Cognitive Computation Journal. The 2016 impact factor of the journal is 3.441 (Q1 - 22/133 in Artificial Intelligence, Q2 - 91/258 in Neurosciences), thanks to the quality research submitted by the researchers, we expect significant increase in the coming years.
Click here for the detailed InCiteTM Journal Citation Report.
   


Toolboxes / software:
  • QSpike Tools, is an effective web-based, client-server, software workflow for parallel processing and analysis of extracellular multi-unit activity, acquired by a standard commercial Multi Electrode Array (MEA) platform. 
An article describing the QSpike Tools workflow has recently been published in Frontiers in Neuroinformatics. The article can be downloaded from here or from the publisher's website
I am indebted to Dr. Michele Giugliano, Dr. Eleni Vasilaki, Dr. Rocco Pulizzi for their motivation, support, and contribution to QSpike Tools.

 
Citation: Mahmud M, Pulizzi R, Vasilaki E and Giugliano M (2014) QSpike tools: a generic framework for parallel batch preprocessing of extracellular neuronal signals recorded by substrate microelectrode arrays. Front. Neuroinform. 8:26. doi: 10.3389/fninf.2014.00026

 
  • SigMate, a comprehensive neuronal signal analysis tool capable of analyzing LFP, Spikes, and EEG has been released. It has been developed as a framework to incorporate existing tools and developers can contribute their codes to it to expand its usability. It is at its Beta version at the moment and contains modules for - Signal Visualization (2D and 3D), File Operations (File Splitting, File Contatenation, and File Column Rearranging), Signal Quality Assessment, Artifact Removal, LFP Event Detection, Current Source Density Calculation, and Single LFP Classification. SigMate has been published in Journal of Neuroscience Methods. The article can be downloaded from here or from the publisher's website. I am indebted to Dr. Stafano Vassanelli, Dr. Alessandra Bertoldo, Dr. Marta Maschietto, Dr. Stefano Girardi, Mr. Davide Travalin, Ms. Elisabetta Pasqualotto, Ms. Giorgia Prevedello, Ms. Paola Pachera for their contribution to SigMate.

 
 
Citation: Mahmud M, Bertoldo A, Girardi S, Maschietto M, and Vassanelli S (2012) SigMate: A Matlab-based automated tool for extracellular neuronal signal processing and analysis. J. Neurosci. Methods 207(1): 97-112. doi: 10.1016/j.jneumeth.2012.03.009
 

Brief Background:
  • I returned as a Research Fellow to NeuroChip Laboratory, Department of Biomedical Sciences of University of Padova, Italy. My  research focus is on Brain-Chip Interfacing (BCHI) to investigate brain functions and their underlying neuronal network activity. I mainly work on neuronal signal analysis, neuronal modeling, processing of extracellular neuronal signals obtained from high-resolution chips, artificial intelligence, and software engineering applications to neuroscience. 

 
Recent News:
  • As an organizing committee member, successfully organized the 7th Brain Inspired Cognitive Systems (BICS2015) conference held at Hefei, China during December 11-13, 2015. For further details and important dates, please refer to the call for papers. BICS 2015 will be unique in that there will be no conference proceedings. After submission and thorough reviewing, ALL accepted papers will be published (following a rigorous peer review process) in the ISI-SCI indexed Springer journal: Cognitive Computation, as a multi-part Special Issue. Therefore, each accepted paper will be published as journal articles. See the call for papers for more details.
  • I, and Prof. Amir Hussain are organizing a special session at the 2014 IEEE Symposium on Computational Intelligence in healthcare and e-health (IEEE CICARE 2014) which is being held as part of the IEEE Symposium Series on Computational Intelligence (SSCI’2014), Orlando, Florida, USA, 9-12 Dec 2014. The special session (Computationally Intelligent Methods for CNS Research & Its Disorders) targets to address the recent advances in computationally intelligent techniques in researching the central nervous system and its associated disorders with a special emphasis to provide health care to improve quality of life. We invite all the researchers working in the field to contribute to the session. The Call for Paper and paper submission instructions can be found in the conference website.