Arunava Banerjee

Associate Professor

EG-COMPUTER / INFO SCI & ENG | COLLEGE-ENGINEERING

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Research Terms & Keywords

Research Terms

Computer Science

Research Projects

Ends

Title

02-2020

Representing and Transforming Sensory Stimuli using Spike Trains Representing and Transforming Sensory Stimuli using Spike Trains

03-2018

Algorithm and Decision Support for Multisensor Handheld Explosive Hazard Detection Systems Algorithm and Decision Support for Multisensor Handheld Explosive Hazard Detection Systems

07-2013

RI: EAGER: Complex Wave Formulations for Shape Analysis RI: EAGER: Complex Wave Formulations for Shape Analysis

03-2011

Formal characterization and analysis of computation in Formal characterization and analysis of computation in

09-2010

Analysis and Characterization of Response Spectra Measur Analysis and Characterization of Response Spectra Measur

08-2009

Classification of widgets based on response spectra meas Classification of widgets based on response spectra meas

06-2008

Development of Analysis Methods for Response Spectra Mea Development of Analysis Methods for Response Spectra Mea

06-2008

Modeling DNA damage Induced Cell Death Responses Modeling DNA damage Induced Cell Death Responses

06-2006

RGP START-UP FUNDS RGP START-UP FUNDS

Degrees

Ph.D., Computer Science

Rutgers University ▪ 2001

Publications

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More Publications

22. Banerjee A. (2016) Learning Precise Spike Train to Spike Train Transformations in Multilayer Feedforward Neuronal Networks. Neural Computation, (to appear).

Ramaswamy V., Banerjee A. (2014) Connectomic Constraints on Computation in Feedforward Networks of Spiking Neurons. Journal of Computational Neuroscience, 37(2), pp. 209-228. [Supplement]. (DOI http://dx.doi.org/10.1007/s10827-014-0497-5)
Rajwade A., Rangarajan A., Banerjee A. (2013) Image Denoising using the Higher Order Singular Value Decomposition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(4), pp. 849-862.
Alptekinoglu A., Banerjee A., Paul A. A., Jain N. (2013) Inventory Pooling to Deliver Differentiated Service. Manufacturing and Service Operations Management 15(1), pp. 33-44.
Kumar R., Banerjee A., Vemuri B. C., Pfister H. (2012) Trainable Convolution Filters and their Application to Face Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(7), pp. 1423-1436.
VanderKraats N. D., Banerjee A. (2011) A Finite-Sample, Distribution-Free, Probabilistic Lower Bound on Mutual Information. Neural Computation, 23(7), pp. 1862-1898.
Kumar R., Barmpoutis A., Banerjee A., Vemuri B. C. (2011) Non-Lambertian Reflectance Modeling and Shape Recovery of Faces using Tensor Splines. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(3), pp. 553-567.
Gurumoorthy K. S., Rajwade A., Banerjee A., Rangarajan A. (2010) A Method for Compact Image Representation using Sparse Matrix and Tensor Projections onto Exemplar Orthonormal Bases. IEEE Transactions on Image Processing, 19(2), pp. 322-334.
Gurumoorthy K. S., Banerjee A., Paul A. (2009) Dynamics of 2-worker bucket brigade assembly line with blocking and instantaneous walk-back. Operations Research Letters, 37(3), pp. 159-162. (Available via Science Direct here)
Rajwade A., Banerjee A., Rangarajan A. (2008) Probability Density Estimation using Isocontours and Isosurfaces: Application to Information Theoretic Image Registration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(3), pp. 475-491.
Meng H., Banerjee A., Zhou L. (2007) BLISS 2.0: a web-based tool for predicting conserved regulatory modules in distantly-related orthologous sequences. Bioinformatics, 23(23), pp. 3249-3250.
Banerjee A., Series P., Pouget A. (2007) Dynamical Constraints on using Precise Spike Timing to Compute in Recurrent Cortical Networks. Neural Computation, 20(4), pp. 974-993.
Banerjee A., Paul, A. (2007) On Activity Correlation and PERT Bias. European Journal of Operational Research, 189(3), pp. 1208-1261. (Available via Science Direct here)
Banerjee A., Carrillo, J. E., Paul, A. (2007) Projects with Sequential Iteration: Models and Complexity. IIE Transactions, 39, pp. 453-463.
Meng, H., Banerjee A., Zhou, L. (2006) BLISS: biding site level identification of shared signal-modules in DNA regulatory sequences. BMC Bioinformatics, 7:287.
Banerjee A. (2006) On the Sensitive Dependence on Initial Conditions of the Dynamics of Networks of Spiking Neurons. Journal of Computational Neuroscience, 20(3), pp. 321-348. (The original publication is available at http://www.springerlink.com/content/yt95x8665754735x)
Banerjee A., Paul A. (2005) Average Fill Rate and Horizon Length. Operations Research Letters, 33(5), pp. 525-530. (Available via Science Direct here)
Macskassy S. A., Hirsh, H., Banerjee A., Dayanik A. A. (2003) Converting Numerical Classification into Text Classification. Artificial Intelligence, 143(1), pp. 51-77.
Banerjee A. (2001) On the Phase-Space Dynamics of Systems of Spiking Neurons. II: Formal Analysis. Neural Computation, 13(1), pp. 195-225.
Banerjee A. (2001) On the Phase-Space Dynamics of Systems of Spiking Neurons. I: Model and Experiments . Neural Computation, 13(1), pp. 161-193.
Banerjee A. (2001) The roles played by External Input and Synaptic Modulations in the Dynamics of Neuronal Systems. BBS commentary on I. Tsuda, "Towards an interpretation of dynamic neural activity in terms of chaotic dynamical systems". The Behavioral and Brain Sciences, 24(5), pp. 811-812.
Ellman T., Keane J., Banerjee A., and Armhold G. (1998) A Transformation System for Interactive Reformulation of Design Optimization Strategies . Research in Engineering Design, 10(1), pp.30-61.