Dr Sutharshan Rajasegarar

STAFF PROFILE

Position

Lecturer In Computer Science

Faculty

Faculty of Sci Eng & Built Env

Department

School of Info Technology

Campus

Melbourne Burwood Campus

Publications

Filter by

2018

Real-time urban microclimate analysis using Internet of Things

P Rathore, P Rathore, A Rao, A Rao, S Rajasegarar, S Rajasegarar, E Vanz, E Vanz, J Gubbi, J Gubbi, M Palaniswami, M Palaniswami

(2018), Vol. 5, pp. 500-511, IEEE internet of things journal, Piscataway, N.J., C1

journal

Ensemble fuzzy clustering using cumulative aggregation on random projections

P Rathore, J Bezdek, S Erfani, S Rajasegarar, M Palaniswami

(2018), Vol. 26, pp. 1510-1524, IEEE transactions on fuzzy systems, Piscataway, N.J., C1

journal

Efficient unsupervised parameter estimation for one-class support vector machines

Z Ghafoori, S Erfani, S Rajasegarar, J Bezdek, S Karunasekera, C Leckie

(2018), Vol. 29, pp. 5057-5070, IEEE transactions on neural networks and learning systems, Piscataway, N.J., C1

journal

Distributed detection of zero-day network traffic flows

Y Miao, L Pan, S Rajasegarar, J Zhang, C Leckie, Y Xiang

(2018), Vol. 845, pp. 173-191, AusDM 2017 : Proceedings of the 15th Australasian Data Mining Conference 2017, Melbourne, Vic., E1

conference

User activity pattern analysis in telecare data

M Angelova, J Ellman, H Gibson, P Oman, S Rajasegarar, Y Zhu

(2018), Vol. 6, pp. 33306-33317, IEEE access, Piscataway, N.J., C1

journal

Fast and scalable big data trajectory clustering for understanding urban mobility

D Kumar, H Wu, S Rajasegarar, C Leckie, S Krishnaswamy, M Palaniswami

(2018), IEEE transactions on intelligent transportation systems, Piscataway, N.J., C1

journal
2017

A visual-numeric approach to clustering and anomaly detection for trajectory data

D Kumar, J Bezdek, S Rajasegarar, C Leckie, M Palaniswami

(2017), Vol. 33, pp. 265-281, Visual computer, Berlin, Germany, C1-1

journal

Clustering aided support vector machines

G Ristanoski, R Soni, S Rajasegarar, J Bailey, C Leckie

(2017), Vol. 10358, pp. 322-334, MLDM 2017 : Proceedings of the 13th International Machine Learning and Data Mining in Pattern Recognition Conference, New York, USA, E1

conference

Maximum entropy-based auto drift correction using high- and low-precision sensors

P Rathore, D Kumar, S Rajasegarar, M Palaniswami

(2017), Vol. 13, pp. 1-41, ACM transactions on sensor networks, New York, N.Y., C1

journal

Orness and cardinality indices for averaging inclusion-exclusion integrals

A Honda, S James, S Rajasegarar

(2017), Vol. 10571, pp. 51-62, MDAI 2017 : Proceedings of the 14th International Modeling Decisions for Artificial Intelligence Conference, Kitakyushu, Japan, E1

conference

Improving load forecasting based on deep learning and K-shape clustering

F Fahiman, S Erfani, S Rajasegarar, M Palaniswami, C Leckie

(2017), pp. 4134-4141, IJCNN 2017 : Proceedings of the International Joint Conference on Neural Networks 2017, Anchorage, Alaska, E1-1

conference

Fog-empowered anomaly detection in IoT using hyperellipsoidal clustering

L Lyu, J Jin, S Rajasegarar, X He, M Palaniswami

(2017), Vol. 4, pp. 1174-1184, IEEE internet of things, Piscataway, N.J., C1

journal

Non-invasive sensor based automated smoking activity detection

B Bhandari, JianChao Lu, Xi Zheng, S Rajasegarar, C Karmakar

(2017), pp. 845-848, EMBC 2017 : Proceedings of the 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Seogwipo, South Korea, E1

conference
2016

Acoustic and device feature fusion for load recognition

A Zoha, A Gluhak, M Nati, M Imran, S Rajasegarar

(2016), Vol. 586, pp. 287-300, Novel applications of intelligent systems, Berlin, Germany, B1-1

chapter

High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning

S Erfani, S Rajasegarar, S Karunasekera, C Leckie

(2016), Vol. 58, pp. 121-134, Pattern recognition, Amsterdam, The Netherlands, C1-1

journal

Pedestrian behaviour analysis using the microsoft kinect

J Chen, S Rajasegarar, C Leckie, A Gygax

(2016), pp. 1-6, PerCom Workshops 2016: Proceedings of the 13th IEEE International Conference on Pervasive Computing and Communication Workshops, Sydney, N.S.W., E1

conference

Unsupervised parameter estimation for one-class support vector machines

Z Ghafoori, S Rajasegarar, S Erfani, S Karunasekera, C Leckie

(2016), Vol. 9652, pp. 183-195, Advances in knowledge discovery and data mining, Berlin, Germany, B1

chapter

Node re-ordering as a means of anomaly detection in time-evolving graphs

L Rashidi, A Kan, J Bailey, J Chan, C Leckie, W Liu, S Rajasegarar, K Ramamohanarao

(2016), Vol. 9852, pp. 162-178, ECML PKDD 2016 : Machine learning and knowledge discovery in databases : Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Riva del Garda, Italy, E1

conference

A hybrid approach to clustering in big data

D Kumar, J Bezdek, M Palaniswami, S Rajasegarar, C Leckie, T Havens

(2016), Vol. 46, pp. 2372-2385, IEEE transactions on cybernetics, Piscataway, N.J., C1-1

journal

R1STM: one-class support tensor machine with randomised kernel

S Erfani, M Baktashmotlagh, S Rajasegarar, V Nguyen, C Leckie, J Bailey, K Ramamohanarao

(2016), pp. 198-206, SDM 2016 : Proceedings of 2016 SIAM International Conference on Data Mining, Miami, Fla., E1

conference

Anomalous behavior detection in crowded scenes using clustering and spatio-temporal features

M Yang, S Rajasegarar, A Rao, C Leckie, M Palaniswami

(2016), Vol. 486, pp. 132-141, IFIP 2016 : Proceedings of the 9th Intelligent Information Processing International Conference, Melbourne, Victoria, E1

conference

Anomaly detection in non-stationary data: ensemble based self-adaptive OCSVM

Z Ghafoori, S Erfani, S Rajasegarar, S Karunasekera, C Leckie

(2016), pp. 2476-2483, IJCNN 2016: Proceedings of the IEEE International Joint Conference on Neural Networks, Vancouver, Canada, E1

conference

Adaptive cluster tendency visualization and anomaly detection for streaming data

D Kumar, J Bezdek, S Rajasegarar, M Palaniswami, C Leckie, J Chan, J Gubbi

(2016), Vol. 11, pp. 1-40, ACM transactions on knowledge discovery from data, New York, N.Y., C1-1

journal
2015

Geospatial estimation-based auto drift correction in wireless sensor networks

D Kumar, S Rajasegarar, M Palaniswami

(2015), Vol. 11, pp. 1-39, ACM transactions on sensor networks, New York, N. Y., C1-1

journal

An embedding scheme for detecting anomalous block structured graphs

L Rashidi, S Rajasegarar, C Leckie

(2015), Vol. 9078, pp. 215-227, Advances in Knowledge Discovery and Data Mining: 19th Pacific-Asia Conference, PAKDD 2015. Proceedings, Part II, Ho Chi Minh City, Vietnam, E1-1

conference

Pattern based anomalous user detection in cognitive radio networks

S Rajasegarar, C Leckie, M Palaniswami

(2015), pp. 5605-5609, ICASSP 2015 : Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, Brisbane, Qld., E1-1

conference

DP1SVM: a dynamic planar one-class support vector machine for Internet of Things environment

A Shilton, S Rajasegarar, C Leckie, M Palaniswami

(2015), pp. 1-6, RIoT 2015 : Proceedings of the 2015 International Conference on Recent Advances in Internet of Things, Singapore, Singapore, E1-1

conference

Parking availability prediction for sensor-enabled car parks in smart cities

Y Zheng, S Rajasegarar, C Leckie

(2015), pp. 1-6, ISSNIP 2015 : Proceedings of the 2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing, Singapore, E1-1

conference

Profiling pedestrian distribution and anomaly detection in a dynamic environment

M Doan, S Rajasegarar, M Salehi, M Moshtaghi, C Leckie

(2015), Vol. 19-23-Oct-2015, pp. 1827-1830, CIKM 2015: Proceedings of the Information and Knowledge Management 2015 International Conference, Melbourne, Vic., E1-1

conference

R1SVM: a randomised nonlinear approach to large-scale anomaly detection

S Erfani, M Baktashmotlagh, S Rajasegarar, S Karunasekera, C Leckie

(2015), Vol. 1, pp. 432-438, AAAI 2015: Proceedings of the Artificial Intelligence 2015 Conference, Austin, Texas, E1-1

conference

DPISVM: a dynamic planar one-class support vector machine for internet of things environment

A Shilton, S Rajasegarar, C Leckie, M Palaniswami

(2015), pp. 1-6, RIoT 2015 : Proceedingins of the International Conference on Recent Advances in Internet of Things, Singapore, E1-1

conference
2014

Streaming analysis in wireless sensor networks

M Moshtaghi, J Bezdek, T Havens, C Leckie, S Karunasekera, S Rajasegarar, M Palaniswami

(2014), Vol. 14, pp. 905-921, Wireless communications and mobile computing, Chichester, Eng., C1-1

journal

An adaptive elliptical anomaly detection model for wireless sensor networks

M Moshtaghi, C Leckie, S Karunasekera, S Rajasegarar

(2014), Vol. 64, pp. 195-207, Computer networks, Amsterdam, The Netherlands, C1-1

journal

Profiling spatial and temporal behaviour in sensor networks: a case study in energy monitoring

L Rashidi, S Rajasegarar, C Leckie, M Nati, A Gluhak, M Imran, M Palaniswami

(2014), pp. 1-7, IEEE ISSNIP 2014 : Proceedings of the 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing, Singapore, Singapore, E1-1

conference

Smart car parking: temporal clustering and anomaly detection in urban car parking

Y Zheng, S Rajasegarar, C Leckie, M Palaniswami

(2014), pp. 1-6, IEEE ISSNIP 2014 : Proceedings of the 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing, Singapore, Singapore, E1-1

conference

Ellipsoidal neighbourhood outlier factor for distributed anomaly detection in resource constrained networks

S Rajasegarar, A Gluhak, M Ali Imran, M Nati, M Moshtaghi, C Leckie, M Palaniswami

(2014), Vol. 47, pp. 2867-2879, Pattern recognition, Chatswood, N.S.W., C1-1

journal

High resolution spatio-temporal monitoring of air pollutants using wireless sensor networks

S Rajasegarar, P Zhang, Y Zhou, S Karunasekera, C Leckie, M Palaniswami

(2014), pp. 1-6, IEEE ISSNIP 2014 : Proceedings of the 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing, Singapore, Singapore, E1-1

conference

Anomaly detection in wireless sensor networks in a non-stationary environment

C Oreilly, A Gluhak, M Imran, S Rajasegarar

(2014), Vol. 16, pp. 1413-1432, IEEE communications surveys and tutorials, Piscataway, N.J., C1-1

journal

Hyperspherical cluster based distributed anomaly detection in wireless sensor networks

S Rajasegarar, C Leckie, M Palaniswami

(2014), Vol. 74, pp. 1833-1847, Journal of parallel and distributed computing, Amsterdam, The Netherlands, C1-1

journal

High-resolution monitoring of atmospheric pollutants using a system of low-cost sensors

S Rajasegarar, T Havens, S Karunasekera, C Leckie, J Bezdek, M Jamriska, A Gunatilaka, A Skvortsov, M Palaniswami

(2014), Vol. 52, pp. 3823-3832, IEEE transactions on geoscience and remote sensing, Piscataway, N. J., C1-1

journal

Detection of anomalous crowd behaviour using hyperspherical clustering

A Rao, J Gubbi, S Rajasegarar, S Marusic, M Palaniswami

(2014), pp. 1-8, DICTA 2014 : Proceedings of the Digital Image Computing : Techniques and Applications International Conference, Wollongong, New South Wales, E1-1

conference

Spatio-temporal estimation with Bayesian maximum entropy and compressive sensing in communication constrained networks

S Rajasegarar, C Leckie, M Palaniswami

(2014), pp. 4536-4541, IEEE ICC 2014 : Communications: the centrepoint of the digital economy : Proceedings of the 2014 IEEE International Conference on Communications, Sydney, N.S.W., E1-1

conference
2013

Combined multiclass classification and anomaly detection for large-scale wireless sensor networks

A Shilton, S Rajasegarar, M Palaniswami

(2013), pp. 491-496, IEEE ISSNIP 2013 : Proceedings of the 2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing, Melbourne, Vic., E1-1

conference

Automatic sensor drift detection and correction using spatial kriging and kalman filtering

D Kumar, S Rajasegarar, M Palaniswami

(2013), pp. 183-190, DCoSS 2013 : Proceedings of the 2013 IEEE International Conference on Distributed Computing in Sensor Systems, Cambridge, Mass., E1-1

conference

ClusiVAT: a mixed visual/numerical clustering algorithm for big data

D Kumar, M Palaniswami, S Rajasegarar, C Leckie, J Bezdek, T Havens

(2013), pp. 112-117, Big Data 2013 : Proceedings of the 2013 IEEE International Conference on Big Data, Silicon Valley, Calif., E1-1

conference

Optimization of an energy harvesting buoy for coral reef monitoring

A Pirisi, F Grimaccia, M Mussetta, R Zich, R Johnstone, M Palaniswami, S Rajasegarar

(2013), pp. 629-634, CEC 2013 : Proceedings of the 2013 IEEE Congress on Evolutionary Computation, Cancun, Mexico, E1-1

conference
2012

Non-intrusive load monitoring approaches for disaggregated energy sensing: a survey.

A Zoha, A Gluhak, M Imran, S Rajasegarar

(2012), Vol. 12, pp. 16838-16866, Sensors, Basel, Switzerland, C1-1

journal

Measures for clustering and anomaly detection in sets of higher dimensional ellipsoids

S Rajasegarar, J Bezdek, M Moshtaghi, C Leckie, T Havens, M Palaniswami

(2012), pp. 1-8, WCCI 2012 : Proceedings of the IEEE World Congress on Computational Intelligence, Brisbane, Queensland, E1-1

conference

Acoustic and device feature fusion for load recognition

A Zoha, A Gluhak, M Nati, M Imran, S Rajasegarar

(2012), pp. 386-392, IS 2012 : Intelligent systems: methodology, systems, applications in emerging technologies : Proceedings of the 2012 6th IEEE International Conference Intelligent Systems, Sofia, Bulgaria, E1-1

conference

Online anomaly rate parameter tracking for anomaly detection in wireless sensor networks

C O'Reilly, A Gluhak, M Imran, S Rajasegarar

(2012), Vol. 1, pp. 191-199, SECON 2012 : Proceedings of the 2012 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, Seoul, South Korea, E1-1

conference
2011

Anomaly detection in environmental monitoring networks

J Bezdek, S Rajasegarar, M Moshtaghi, C Leckie, M Palaniswami, T Havens

(2011), Vol. 6, pp. 52-58, IEEE Computational Intelligence Magazine, Piscataway, N.J., C1-1

journal

Clustering ellipses for anomaly detection

M Moshtaghi, T Havens, J Bezdek, L Park, C Leckie, S Rajasegarar, J Keller, M Palaniswami

(2011), Vol. 44, pp. 55-69, Pattern Recognition, Amsterdam, The Netherlands, C1-1

journal

An efficient hyperellipsoidal clustering algorithm for resource-constrained environments

M Moshtaghi, S Rajasegarar, C Leckie, S Karunasekera

(2011), Vol. 44, pp. 2197-2209, Pattern recognition, Amsterdam, The Netherlands, C1-1

journal

Incremental elliptical boundary estimation for anomaly detection in wireless sensor networks

M Moshtaghi, C Leckie, S Karunasekera, J Bezdek, S Rajasegarar, M Palaniswami

(2011), pp. 467-476, ICDM 2011 : Proceedings of the 2011 IEEE 11th International Conference on Data Mining, Vancouver, Canada, E1-1

conference

An efficient approach to detecting concept-evolution in network data streams

S Erfani, S Rajasegarar, C Leckie

(2011), pp. 1-7, ATNAC 2011 : Proceedings of the 2011 Australasian Telecommunication Networks and Applications Conference, Melbourne, Vic., E1-1

conference

Spatio-temporal modelling-based drift-aware wireless sensor networks

M Takruri, S Rajasegarar, S Challa, C Leckie, M Palaniswami

(2011), Vol. 1, pp. 110-122, IET Wireless Sensor Systems, Stevenage, Eng., C1-1

journal
2010

Centered hyperspherical and hyperellipsoidal one-class support vector machines for anomaly detection in sensor networks

S Rajasegarar, C Leckie, J Bezdek, M Palaniswami

(2010), Vol. 5, pp. 518-533, IEEE transactions on information forensics and security, Piscataway, N.J., C1-1

journal
2009

Elliptical anomalies in wireless sensor networks

S Rajasegarar, J Bezdek, C Leckie, M Palaniswami

(2009), Vol. 6, pp. 7:1-7:28, ACM transactions on sensor networks, New York, N.Y., C1-1

journal
2008

Anomaly detection in wireless sensor networks

S Rajasegarar, C Leckie, M Palaniswami

(2008), Vol. 15, pp. 34-40, IEEE Wireless Communications, Piscataway, N.J., C1-1

journal

Funded Projects at Deakin

No Funded Projects at Deakin found

Supervisions

No completed student supervisions to report