Dr. Irshed Hussain
B.E., M.Tech., Ph.D.
Assistant Professor
Department of Information Technology
Irshed Hussain is working as an Assistant Professor – II in the Department of Information Technology at SSN College of Engineering, Chennai, Tamil Nadu since November 2025. As far as teaching experience is concerned, he has over 4.5 years of experience.
Education
He holds a Ph.D. and M.Tech. in Computer Science and Engineering from NIT Silchar, Assam in 2022 and 2016, respectively. He completed his B.E. degree from GIMT Guwahati affiliated to Gauhati University, Assam in 2013.
Experience
He started his teaching career as a Temporary Faculty at NIT Silchar in the Department of CSE in 2017 after M.Tech. Prior to joining SSN College of Engineering, he worked as Assistant Professor at Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar in the Department of Computer Science & Information Technology, Institute of Technical Education and Research from 2021 to 2025.
Subjects Taught
Over the years, he taught a wide range of UG subjects including Algorithm Design – I, Algorithm Design – II, Algorithms Analysis & Design – I, Algorithms Analysis & Design – II, and Introduction to C Programming.
- Computational Neuroscience
- Spiking Neural Networks
- Machine Learning
- AI in Healthcare
- Neuro-Fuzzy Systems
- Speech Recognition
- Irshed Hussain, Vikash Kumar and Dalton Meitei Thounaojam, A computationally efficient classification system for classifying nonlinear temporal patterns without hidden layer, File Number: 20 2023 104 383.6, 21/08/2023.
- I. Hussain, and D. M. Thounaojam, “SpiFoG: an efficient supervised learning algorithm for the network of spiking neurons”, Scientific Reports, vol. 10, no. 1, pp. 1–11, ISSN:2045-2322, Q1, Nature Publishing Group, 2020, DOI: https://doi.org/10.1038/s41598-020-70136-5.
- I. Hussain, and D. M. Thounaojam, “WOLIF: An efficiently tuned classifier that learns to classify nonlinear temporal patterns without hidden layers”, Applied Intelligence, vol. 51, no. 4, pp. 2173–2187, ISSN: 15737497, Q2, Springer, 2021, DOI: https://doi.org/10.1007/s10489-020-01934-7.
- I. Hussain, and D. M. Thounaojam, “A novel classification technique using a biologically plausible spiking neuron and noisy synapses”, Evolutionary Intelligence, vol. 17, pp. 4279–4293,ISSN:1864-5917,Q2,Springer Nature, 2024, DOI: https://doi.org/10.1007/s12065-024-00983-y.
- I. Hussain and P. Roy, “A hybrid adaptive neuro-fuzzy approach for automatic spoken digit recognition”, International Journal of Speech Technology, vol. 26, pp. 825 – 832, ISSN: 1572-8110, Q1, Springer Nature, 2023, DOI: https://doi.org/10.1007/s10772-023-10057-6.
- I. Hussain, and D. M. Thounaojam, “Identification of Epileptic Seizures Utilising a Computationally Powerful Spiking Neuron”, SN Computer Science, vol. 5, no. 1155, pp. 1–13, ISSN: 2661-8907, Q2, Springer, 2024, DOI: https://doi.org/10.1007/s42979-024-03510-z.
- I. Hussain, and D. M. Thounaojam,“Classification of Diabetes using the Biologically Plausible Network of Spiking Neurons”, 2022 International Conference on Machine Learning, Computer Systems and Security (MLCSS), Bhubaneswar, India, pp. 154-158, DOI: 10.1109/MLCSS57186.2022.00036, IEEE Xplore, ISBN: 978-1-6654-5493-3, 2023.
- I. Hussain, and D. M. Thounaojam, “Epileptic Seizure Classification using Spiking Neural Network from EEG Signals”, 26th International Conference on Advanced Computing and Communications (ADCOM), Edge Analytics, pp. 297–306, Springer, Singapore, ISBN: 978-981-19-0019-8, 2022, DOI: https://doi.org/10.1007/978-981-19-0019-8_23.
- I. Hussain, and D. M. Thounaojam, “An Extensive Review of the Supervised Learning Algorithms for Spiking Neural Networks”, International Conference on Big Data, Machine Learning, and Applications (BigDML), Lecture Notes in Electrical Engineering, vol 1053, pp. 63–80, Springer, Singapore, ISBN: 978-981-99-3480-5, DOI: https://doi.org/10.1007/978-981-99-3481-2_6.
- I. Hussain, S. Gopinath, I. Kapila, H. Kalra, S. R. KS et al., “Developing a gait-based stacked ensemble authentication framework for internet of things,” in 2025 2nd International Conference On Multidisciplinary Research and Innovations in Engineering (MRIE). IEEE, 2025, pp. 219–223. DOI: 10.1109/MRIE66930.2025.11156597.
- S. Bansal, I. Hussain, H. Kalra, M. HR, R. K. Yadav et al., “Revolutionizing energy storage management with advanced battery algorithms,” in 2025 International Conference on Automation and Computation (AUTOCOM). IEEE, 2025, pp. 952–957. DOI: 10.1109/AUTOCOM64127.2025.10956371.
- I. Hussain and P. Roy, “A Survey of Classification Techniques using Fuzzy Neural Networks for Speech Recognition”, International Workshop on Combinatorial Image Analysis (IWCIA), ISBN: 978-981-09-7518-0, pp. 61–74, 2015.
- Anundoram Borooah Award (December 17, 2006)
- IEEE, and IAENG
- Scientific Reports
- IEEE Transactions on Cognitive and Developmental Systems.
- UGC Malaviya Mission Teacher Training Center, Manipur University, 6-Day Short-Term Program on “Advances in Artificial Intelligence and data Science”, 19–25 June 2025. Lecture Topic: Introduction to Spiking Neural Networks – principles, applications, and future scope.
- Online FDP on Deep Learning, Organized by Electronics and ICT Academy, Malaviya National Institute of Technology (MNIT) Jaipur, 25–02 July 2025. Lecture Topic: Spiking Neural Networks.