Dr Shamsul Huda

STAFF PROFILE

Position

Lecturer in Computer Science

Faculty

Faculty of Sci Eng & Built Env

Department

School of Info Technology

Campus

Melbourne Burwood Campus

Contact

shamsul.huda@deakin.edu.au
+61 3 924 45509

Publications

Filter by

2018

Multistage fusion approaches based on a generative model and multivariate exponentially weighted moving average for diagnosis of cardiovascular autonomic nerve dysfunction

M Hassan, S Huda, J Yearwood, H Jelinek, A Almogren

(2018), Vol. 41, pp. 105-118, Information fusion, Amsterdam, The Netherlands, C1

journal

A hybrid-multi filter-wrapper framework to identify run-time behaviour for fast malware detection

S Huda, R Islam, J Abawajy, J Yearwood, M Hassan, G Fortino

(2018), Vol. 83, pp. 193-207, Future generation computer systems, Amsterdam, The Netherlands, C1

journal

Malware threats and detection for industrial mobile-IoT networks

S Sharmeen, S Huda, J Abawajy, W Ismail, M Hassan

(2018), Vol. 6, pp. 15941-15957, IEEE access, Piscataway, N.J., C1

journal

An ensemble oversampling model for class imbalance problem in software defect prediction

S Huda, K Liu, M Abdelrazek, A Ibrahim, S Alyahya, H Al-Dossari, S Ahmad

(2018), Vol. 6, pp. 24184-24195, IEEE access, Piscataway, N.J., C1

journal

Human activity recognition from body sensor data using deep learning

Mohammad Hassan, Shamsul Huda, Md Uddin, Ahmad Almogren, Majed Alrubaian

(2018), Vol. 42, pp. 1-8, Journal of medical systems, New York, N.Y., C1

journal

A malicious threat detection model for cloud assisted internet of things (CoT) based industrial control system (ICS) networks using deep belief network

S Huda, S Miah, J Yearwood, S Alyahya, H Al-Dossari, R Doss

(2018), Vol. 120, pp. 23-31, Journal of parallel and distributed computing, Amsterdam, The Netherlands, C1

journal

Securing the operations in SCADA-IoT platform based industrial control system using ensemble of deep belief networks

Shamsul Huda, John Yearwood

(2018), Vol. 71, pp. 66-77, Applied soft computing, Amsterdam, The Netherlands, C1

journal
2017

Defending unknown attacks on cyber-physical systems by semi-supervised approach and available unlabeled data

M Huda, S Miah, M Hasaan, R Islam, J Yearwood, M Alrubaian, A Almogren

(2017), Vol. 379, pp. 211-228, Information sciences, Amsterdam, The Netherlands, C1

journal

A fast malware feature selection approach using a hybrid of multi-linear and stepwise binary logistic regression

S Huda, J Abawajy, M Abdollahian, R Islam, J Yearwood

(2017), Vol. 29, pp. 1-18, Concurrency Computation, Chichester, Eng., C1

journal

Exponentially weighted control charts to monitor multivariate process variability for high dimensions

N Gunaratne, M Abdollahian, S Huda, J Yearwood

(2017), Vol. 55, pp. 4948-4962, International journal of production research, Abingdon, Eng., C1

journal

A parallel framework for software defect detection and metric selection on cloud computing

M Ali, S Huda, J Abawajy, S Alyahya, H Al-Dossari, J Yearwood

(2017), Vol. 20, pp. 2267-2281, Cluster computing, New York, N.Y., C1

journal

A framework for software defect prediction and metric selection

S Huda, S Alyahya, M Mohsin Ali, S Ahmad, J Abawajy, H Al-Dossari, J Yearwood

(2017), Vol. 6, pp. 2844-2858, IEEE access, Piscataway, N.J., C1

journal
2016

Hybrids of support vector machine wrapper and filter based framework for malware detection

S Huda, J Abawajy, M Alazab, M Abdollalihian, R Islam, J Yearwood

(2016), Vol. 55, pp. 376-390, Future generation computer systems, Amsterdam, The Netherlands, C1

journal

A hybrid feature selection with ensemble classification for imbalanced healthcare data: a case study for brain tumor diagnosis

S Huda, J Yearwood, H Jelinek, M Hassan, G Fortino, M Buckland

(2016), Vol. 4, pp. 9145-9154, IEEE Access, Piscataway, N.J., C1

journal
2014

A hybrid wrapper-filter approach for malware detection

M Alazab, S Huda, J Abawajy, R Islam, J Yearwood, S Venkatraman, R Broadhurst

(2014), Vol. 9, pp. 2878-2891, Journal of networks, Oulu, Finland, C1

journal

A hybrid wrapper-filter approach to detect the source(s) of out-of-control signals in multivariate manufacturing process

S Huda, M Abdollahian, M Mammadov, J Yearwood, S Ahmed, I Sultan

(2014), Vol. 237, pp. 857-870, European journal of operational research, Amsterdam, The Netherlands, C1-1

journal

Hybrid metaheuristic approaches to the expectation maximization for estimation of the hidden markov model for signal modeling

S Huda, J Yearwood, R Togneri

(2014), Vol. 44, pp. 1962-1977, IEEE transactions on cybernetics, Piscataway, United States, C1-1

journal
2013

An approach for Ewing test selection to support the clinical assessment of cardiac autonomic neuropathy

A Strainieri, J Abawajy, A Kelarev, S Huda, M Chowdhury, H Jelinek

(2013), Vol. 58, pp. 185-193, Artificial intelligence in medicine, Amsterdam, The Netherlands, C1

journal
2012

Performance evaluation of multivariate non-normal process using metaheuristic approaches

S Ahmad, M Abdollahian, M Bhatti, S Huda, J Yearwood

(2012), Vol. 20, pp. 299-315, Journal of applied statistical science, Hauppage, N.Y., C1-1

journal
2011

Smart RFID reader protocol for malware detection

B Ray, S Huda, M Chowdhury

(2011), pp. 64-69, SNPD 2011 : Proceedings of the 12th ACIS International Conference on Software Engineering, Artificial Intelligence Networking and Parallel Distributed Computing, Sydney, N. S. W., E1

conference

Hybrid wrapper-filter approaches for input feature selection using maximum relevance-minimum redundancy and artificial neural network input gain measurement approximation (ANNIGMA)

S Huda, J Yearwood, A Stranieri

(2011), Vol. 113, pp. 43-52, ACSC 2011 :, Perth, W.A., E1-1

conference

Reinforcement learning approach to AIBO robot's decision making process in Robosoccer's goal keeper problem

S Mukherjee, J Yearwood, P Vamplew, S Huda

(2011), pp. 24-30, SNPD 2011 : Proceedings of the 2011 12th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, Sydney, N.S.W., E1-1

conference

A reinforcement learning approach with spline-fit object tracking for AIBO robot's high level decision making

S Mukherjee, S Huda, J Yearwood

(2011), Vol. 368, pp. 169-183, SNPD 2011 : Proceedings of the 12th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, Sydney, N.S.W., E1-1

conference

Funded Projects at Deakin

Industry and Other Funding

Intelligent software engineering techniques to monitor and improve the quality of software development and managing the productivity of the developers

Dr Shamsul Huda, Prof John Yearwood, Prof Jemal Abawajy

  • 2016: $20,000
  • 2015: $40,000

Supervisions

No completed student supervisions to report