Dr Irshed Hussain
Assistant Professor (Grade-II)
| Department of Information Technology
SSN College of Engineering
Assam
Expertise:
Computer Science Artificial Intelligence
10
Publications
0
Projects
30
Scopus Citations
27
CrossRef
5 Years Total Experience
Scopus
30
Citations
3
h-index
CrossRef
27
Citations
3
h-index
Google Scholar
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Professional Recognition
Anundoram Borooah Award
2006
Planning & Development Department, Government of Assam
Community & Membership
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International Association of Engineers (IAENG)
Membership Number: 282200Institute of Electrical and Electronics Engineers (IEEE)
Membership Number: 99489365Personal Details
Doctor of Philosophy
2022
South Asian University
Master of Technology
2016
South Asian University
Assistant Professor (Grade-II)
Nov 2025 – Present
SSN College of Engineering
| Department of Information Technology
Assistant Professor
Sep 2021 – Nov 2025
Siksha 'O' Anusandhan
| Department of Computer Science and Information Technology
Engineering and Technology
Scholarly Work
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A computationally efficient classification system for classifying nonlinear temporal patterns without hidden layer (Ein rechnerisch effizientes Klassifizierungssystem zur Klassifizierung nichtlinearer zeitlicher Muster ohne versteckte Schicht)
Irshed Hussain
Vikash Kumar and Dalton Meitei Thounaojam
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Application No. :
20 2023 104 383.6
Filed :
02-08-2023
Published :
30-11--0001
Granted
Scholarly Publications
A hybrid adaptive neuro-fuzzy approach for automatic spoken digit recognition
Revolutionizing Energy Storage Management with Advanced Battery Algorithms
Identification of Epileptic Seizures Utilising a Computationally Powerful Spiking Neuron
A novel classification technique using a biologically plausible spiking neuron and noisy synapses
An Extensive Review of the Supervised Learning Algorithms for Spiking Neural Networks
Classification of Diabetes using the Biologically Plausible Network of Spiking Neurons
10.1109/MLCSS57186.2022.00036
Scopus: 1
Epileptic Seizure Classification Using Spiking Neural Network from EEG Signals
WOLIF: An efficiently tuned classifier that learns to classify non-linear temporal patterns without hidden layers
Showing 1 to 8 of 10 publications