The University of Southampton
Telephone:
+442380593021
Email:
mn at ecs dot soton dot ac dot uk

Professor Mahesan Niranjan

Academic Staff

Personal homepage

I joined the University of Southampton in February 2008 as a professor in the School of Electronics and Computer Science and served as Head of the Information: Signals, Images and Systems (ISIS) research group. This is the only research group I know of which has a colon (':') in its name, which must be something special, but I could never figure out what it was.

In 2010, the group was absorbed into the Communications, Signal Processing and Control research group, of which I became a harmless member. Then in 2014, following an amicable divorce, Vision Learning and Control group, in which I am presently based, was formed.

Prior to joining Southampton, I have worked for the University of Cambridge as a Lecturer in Information Engineering (1990-1998), and the University of Sheffield as Professor of Computer Science (1999-2007). At Sheffield I also served as Head of Computer Science (Feb 2002 - Aug 2004) and Dean of Engineering (Aug 2006 - Jan 2008). I have fun memories from these periods of what now feels like 'extended maternity leave': Presentation to senior management, self-evaluation, and presentation to Faculty Board of Engineering.

Here are slides of an introduction at Friday lunch staff meeting, and a talk about league tables.

Here is a recent one about the stochastic nature of winning research grants.

Here is a recent talk to the ISIS PostGrad Conference on "Why I supervise PhD students?"

Here you can find some amateur pieces relating to Sri Lankan politics, of which I am particularly pleased with this poem.

Here is a short letter I wrote in TimesHigher on assessment.

Research

Professional

Qualifications

BSc (Peradeniya, Sri Lanka), MEE (Eindhoven, The Netherlands), PhD (Cambridge, England)

Consultancy

Such roles tend to be so secret that even I don't know what they are!

Duties

Chair of Staff Student Liaison Committee of the School of Electronics and Computer Science (2009 -- 2015);

Faculty elected member of University Senate (this role ends in July 2017);

Senate appointed member of University Council (which also ends in July 2017)

Publications

Ramanan, Amirthalingam and Niranjan, Mahesan (2010) A One-pass Resource-Allocating Codebook for Patch-based Visual Object Recognition At IEEE Workshop on Machine Learning for Signal Processing, Finland. 29 Aug - 01 Sep 2010.

Camargo, Renata and Niranjan, Mahesan (2008) Mining Protein Database using Machine Learning Techniques Journal of Integrative Bioinformatics, 5, (2), pp. 1-10.

Suwannaroj, Sujimarn and Niranjan, Mahesan (2008) Enhancing Automatic Construction of Gene Subnetworks by Integrating Multiple Sources of Information Journal of Signal Processing Systems, 50, (3), pp. 331-340.

Markovsky, Ivan and Niranjan, Mahesan (2010) Approximate low-rank factorization with structured factors Computational Statistics & Data Analysis, 54, pp. 3411-3420.

Milo, Marta, Cacciabue-Rivolta, Daniela, Kneebone, Adam, Van Doorninck, Hikke, Johnson, Claire, Lawoko-Kerali, Grace, Niranjan, Mahesan, Rivolta, Marcelo and Holley, Matthew (2009) Genomic Analysis of the Function of the Transcription Factor gata3 during Development of the Mammalian Inner Ear PLoS ONE, 4, (9), e7144.

Tuna, Salih and Niranjan, Mahesan (2009) Classification with binary gene expressions Journal of Biomedical Science and Engineering, 2, (6), pp. 390-399.

Tuna, Salih and Niranjan, Mahesan (2009) Cross-Platform Analysis with Binarized Gene Expression Data At Pattern Recognition in Bioinformatics. , pp. 439-449.

Wieser, Daniela and Niranjan, Mahesan (2009) Remote homology detection using a kernel method that combines sequence and secondary-structure similarity scores In Silico Biology, 9, p. 9.

Farran, Bassam, Ramanan, Amirthalingam and Niranjan, Mahesan (2009) Sequential Hierarchical Pattern Clustering At Pattern Recognition in Bioinformatics. , pp. 79-88.

Liu, Wei and Niranjan, Mahesan (2009) Matching Models to Data in Modelling Morphogen Diffusion At Machine Learning in Systems Biology.

Saunders, C.J., Szedmak, S. and Niranjan, M. (2009) Structure learning for natural language processing Proceedings of the 2009 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2009), 6 pp.-.

Xu, Weichao, Hung, Y.S., Niranjan, M. and Shen, M.F. (2010) Asymptotic mean and variance of Gini correlation for bivariate normal samples IEEE Transactions on Signal Processing, 58, (2), pp. 522-534. (doi:10.1109/TSP.2009.2032448).

Ni, Yizhao, Saunders, Craig, Szedmak, Sandor and Niranjan, Mahesan (2009) STRUCTURE LEARNING FOR NATURAL LANGUAGE PROCESSING At IEEE Workshops on Machine Learning for Signal Processing, 2009, France. 02 - 04 Sep 2009.

Ni, Yizhao, Niranjan, Mahesan, Saunders, Craig and Szedmak, Sandor (2010) Distance phrase reordering for MOSES - User Manual and Code Guide s.n.

Ni, Yizhao, Saunders, Craig, Szedmak, Sandor and Niranjan, Mahesan (2009) Handling phrase reordering for machine translation At the joint conference of the 47th Annual Meeting of the Association for Computational Linguistics and the 4th International Joint ConConference Processing, Singapore.

Tuna, Salih and Niranjan, Mahesan (2010) Reducing the algorithmic variability in transcriptome-based inference Bioinformatics, 26, (9), pp. 1185-1191.

Yuan, Ke and Niranjan, Mahesan (2010) Estimating a State-Space Model from Point Process Observations: A Note on Convergence Neural Computation, 22, (8), pp. 1993-2001.

Tuna, Salih and Niranjan, Mahesan (2010) Inference from Low Precision Transcriptome Data Representation Journal of Signal Processing Systems, 50, (3), pp. 267-279.

Ni, Yizhao, Saunders, Craig, Szedmak, Sandor and Niranjan, Mahesan (2010) The application of structured learning in natural language processing Machine Translation

Ramanan, Amirthalingam and Niranjan, Mahesan (2009) Resource-Allocating Codebook for Patch-based Face Recognition At Fourth International Conference on Industrial and Information Systems, Sri Lanka. , pp. 28-31.

Ramanan, Amirthalingam, Suppharangsan, Somjet and Niranjan, Mahesan (2007) Unbalanced Decision Trees for Multi-class Classification At IEEE - Second International Conference on Industrial and Information Systems, ICIIS 2007, Sri Lanka. 08 - 11 Aug 2007. , pp. 291-294.

Ni, Yizhao, Saunders, Craig, Szedmak, Sandor and Niranjan, Mahesan (2011) Exploitation of machine learning techniques in modelling phrase movements for machine translation Journal of Machine Learning Research, 12, pp. 1-30.

Zammit Mangion, Anderw, Yuan, Ke, Kadirkamanathan, Visakan, Niranjan, Mahesan and Sanguinetti, Guido (2011) Online variational inference for state-space models with point-process observations Neural Computation, 23, (8), pp. 1967-1999. (doi:10.1162/NECO_a_00156). (PMID:21521047).

Liu, Wei and Niranjan, Mahesan (2011) The Role of Regulated mRNA Stability in Establishing Bicoid Morphogen Gradient in Drosophila Embryonic Development PLoS ONE, 6, (9), e24896.

Ramanan, Amirthalingam and Niranjan, Mahesan (2011) A Review of Codebook Models in Patch-Based Visual Object Recognition JOURNAL OF SIGNAL PROCESSING SYSTEMS, DOI: 10.1007/s11265-011-0622-x

Farran, Bassam, Saunders, Craig and Niranjan, Mahesan (2010) Machine Learning for Intrusion Detection: Modeling the Distribution Shift At IEEE Workshop on Machine Learning for Signal Processing, Finland. 29 Aug - 01 Sep 2010.

Liu, Wei and Niranjan, Mahesan (2012) Gaussian process modelling for bicoid mRNA regulation in spatio-temporal Bicoid profile Bioinformatics, 28, (3), pp. 366-372.

Yuan, Ke, Girolami, Mark and Niranjan, Mahesan (2012) Markov chain Monte Carlo methods for state-space models with point process observations Neural Computation, 24, (6), pp. 1462-1486. (doi:10.1162/NECO_a_00281). (PMID:22364499).

Liu, Xin and Niranjan, Mahesan (2012) State and parameter estimation of the heat shock response system using Kalman and particle filters Bioinformatics, 28, (11), pp. 1501-1507. (doi:10.1093/bioinformatics/bts161). (PMID:22539674).

Preotiuc-Pietro, Daniel, Samangooei, Sina, Cohn, Trevor, Gibbins, Nicholas and Niranjan, Mahesan (2012) Trendminer: an architecture for real time analysis of social media text At 6th International AAAI Conference on Weblogs and Social Media (ICWSM-12), Ireland. 05 - 07 Jun 2012. 5 pp.

Chen, Taihai, Mazomenos, Evangelos B., Maharatna, Koushik, Dasmahapatra, Srinandan and Mahesan, Niranjan (2012) On the trade-of of accuracy and computational complexity for classifying normal and abnormal ECG in remote CVD monitoring systems At IEEE Workshop on Signal Processing Systems, Canada. 17 - 19 Oct 2012. 6 pp, pp. 37-42. (doi:10.1109/SiPS.2012.43).

Chen, Taihai, Mazomenos, Evangelos B., Maharatna, Koushik, Dasmahapatra, Srinandan and Niranjan, Mahesan (2013) Design of a low-power on-body ECG classifier for remote cardiovascular monitoring systems IEEE Journal of Emerging and Selected Topics in Circuits and Systems, 3, (1), pp. 75-85. (doi:10.1109/JETCAS.2013.2242772).

Takeda, Akiko, Niranjan, Mahesan, Gotoh, Jun-ya and Kawahara, Yoshinobu (2013) Simultaneous pursuit of out-of-sample performance and sparsity in index tracking portfolios Computational Management Science, 10, (1), pp. 21-49. (doi:10.1007/s10287-012-0158-y).

Hassan, A., Damper, R.I. and Niranjan, M. (2013) On acoustic emotion recognition: compensating for covariate shift IEEE Transactions on Audio, Speech and Language Processing, 21, (7), pp. 1458-1468. (doi:10.1109/TASL.2013.2255278).

Matthews, Tim, Nixon, Mark S. and Niranjan, Mahesan (2013) Enriching texture analysis with semantic data At IEEE Conference on Computer Vision and Pattern Recognition, United States. 25 - 27 Jun 2013.

Mundra, Piyushkumar A., Zheng, Jie, Niranjan, Mahesan, Welsch, Roy E. and Rajapakse, Jagath C., (2013) Inferring time-delayed gene regulatory networks using cross-correlation and sparse regression Zhipeng, Cai, Eulenstein, Oliver, Janies, Daniel and Schwartz, Daniel (eds.) In Bioinformatics Research and Applications. vol. 7875, Springer Berlin Heidelberg., pp. 64-75. (doi:10.1007/978-3-642-38036-5_10).

Samangooei, Sina, Hare, Jonathon, Dupplaw, David, Niranjan, Mahesan, Gibbins, Nicholas, Lewis, Paul H., Davies, Jamie, Jain, Neha and Preston, John (2013) Social Event Detection via sparse multi-modal feature selection and incremental density based clustering At MediaEval 2013 / Social Event Detection for Social Multimedia, Spain.

Dharmagunawardhana, Chathurika, Mahmoodi, Sasan, Bennett, Michael and Niranjan, Mahesan (2014) Quantitative analysis of pulmonary emphysema using isotropic Gaussian Markov random fields At 9th International Conference on Computer Vision Theory and Applications, Portugal. 05 - 08 Jan 2014. , pp. 44-53.

Dharmagunawardhana, Chathurika, Mahmoodi, Sasan, Bennett, Michael and Niranjan, Mahesan (2014) An Inhomogeneous Bayesian Texture Model for Spatially Varying Parameter Estimation At 3rd International Conference on Pattern Recognition Applications and Methods, France. , pp. 139-146.

Alrajeh, Abdullah and Niranjan, Mahesan (2014) Bayesian reordering model with feature selection At ACL2014: The Ninth Workshop on Statistical Machine Translation, United States. 26 - 27 Jun 2014. , pp. 477-485.

Dharmagunawardhana, Chathurika, Mahmoodi, Sasan, Bennett, Michael and Niranjan, Mahesan (2014) Gaussian Markov random field based improved texture descriptor for image segmentation Image and Vision Computing, 32, (11), pp. 884-895. (doi:10.1016/j.imavis.2014.07.002).

Alrajeh, Abdullah and Niranjan, Mahesan (2014) Large-scale reordering model for statistical machine translation using dual multinomial logistic regression At Empirical Methods on Natural Language Processing 2014, Qatar. 25 - 29 Oct 2014.

Alrajeh, Abdullah, Takeda, Akiko and Niranjan, Mahesan (2014) Memory-efficient large-scale linear support vector machine At The 7th International Conference on Machine Vision, Italy. 19 - 21 Nov 2014.

Gunawardana, Yawwani and Niranjan, Mahesan (2013) Bridging the gap between transcriptome and proteome measurements identifies post-translationally regulated genes Bioinformatics, 29, (23), pp. 3060-3066. (doi:10.1093/bioinformatics/btt537). (PMID:24045772).

Alrajeh, Abdullah and Niranjan, Mahesan (2015) Scalable reordering models for SMT based on multiclass SVM The Prague Bulletin of Mathematical Linguistics, 103, (1), pp. 65-84. (doi:10.1515/pralin-2015-0004).

Gunawardana, Y., Fujiwara, S., Takeda, A., Woelk, C.H. and Niranjan, Mahesan (2015) Outlier detection at the transcriptome-proteome interface Bioinformatics (doi:10.1093/bioinformatics/btv182). (PMID:25819671).

Hare, Jonathon, Samangooei, Sina, Niranjan, Mahesan and Gibbins, Nicholas (2015) Detection of Social Events in Streams of Social Multimedia International Journal of Multimedia Information Retrieval, 4, (4), pp. 289-302.

Dharmagunaw, C., Mahmoodi, S., Bennett, M. and Niranjan, M. (2016) Rotation invariant texture descriptors based on Gaussian Markov random fields for classification Pattern Recognition Letters, 69, pp. 15-21. (doi:10.1016/j.patrec.2015.10.006).

Goehring, Tobias, Yang, Xin, Monaghan, Jessica, Wang, Shang, Niranjan, Mahesan and Bleeck, Stefan (2016) Speech enhancement based on artificial neural networks for hearing-impaired listeners using auditory inspired features At DGA-Jahrestagung German Society of Audiology, Germany. 09 - 12 Mar 2016.

Chen, H., Guo, J., Mishra, S.K., Robson, P., Niranjan, M. and Zheng, J. (2015) Single-cell transcriptional analysis to uncover regulatory circuits driving cell fate decisions in early mouse development Bioinformatics, 31, (7), pp. 1060-1066. (doi:10.1093/bioinformatics/btu777).

Montesdeoca Bermudez, Luis and Niranjan, Mahesan (2016) Extending the feature set of a data-driven artificial neural network model of pricing financial option At 2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016), Greece. 06 - 09 Dec 2016. 6 pp.

Squires, Steven, Prugel-Bennett, Adam and Niranjan, Mahesan (2017) Rank selection in non-negative matrix factorization using minimum description Length Neural Computation, 29, (8), pp. 2164-2176. (doi:10.1162/NECO_a_00980).

Squires, Steven, Edward, Montesdeoca Bermudez, Luis, Jairo, Prugel-Bennett, Adam and Niranjan, Mahesan (2017) Non-negative matrix factorization with exogenous inputs for modeling financial data In Lecture Notes in Computer Science. Springer. 9 pp.

Squires, Steven, Edward, Ewing, Robert, Prugel-Bennett, Adam and Niranjan, Mahesan (2017) A method of integrating spatial proteomics and protein-protein interaction network data In Lecture Notes in Computer Science. Springer. 9 pp.

Millington, Tristan and Niranjan, Mahesan (2017) Robust portfolio risk minimization using the graphical lasso

Contact

Telephone: +442380593021

Email: mn at ecs dot soton dot ac dot uk

Additional contact details

oh seven eight oh three hundred nine six five four

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