SSIU - Research

 

The specific topics of current interest to SSIU include Mathematical Morphology, Digital Geometry, Earth Systems Science, Spatial Informatics, Theoretical GISci and Geocomputation, Satellite Remote Sensing Data Analysis, Digital Image Processing, Digital Geographics, Modeling the behavior Complex Terrestrial Systems via Chaos and Bifurcation Theories, Fractals and Multifractals, Computational Neuroscience (Brain Signal Modeling), Brain Functions Modeling, Human EEG Processing, Small Networks Modeling, Information Granulation, Granular Computing, Pattern Recognition, Machine Learning, Image and Video Processing, Soft Intelligence Computing, Computational Intelligence. We aim to develop frameworks to address all the above components to demonstrate their potential utilities in domains such as (but not limited to) geospatial and neuroscience.
Current faculty members of SSIU are pursuing research programs in computational neuroscience, machine learning, geospatial information processing and modelling. These areas of research are presently being carried out in two broad research groups: Spatial Informatics Research Group, and Computational Neuroscience Research Group.

Research Groups

 

 

Recent Publications

 

Books

  • B. S. Daya Sagar, "Mathematical Morphology in Geomorphology and GISci", (May 2013) ISBN-10: 1439872007, ISBN-13: 9781439872000. Pages: 546, Publisher: Chapman & Hall (Taylor & Francis Group).

Edited Journal Special Issues

  • Sankar K. Pal and Saroj K. Meher (Eds.) Special Issue on "Granular Soft Computing for Pattern Recognition and Mining, Applied Soft Computing, v. 13, no. 9, p. 3942-4010, 2013.
  • Laurent Najman, Junior Barrera, B. S. Daya Sagar, Petros Maragos, Dan Schonfeld (Eds.) Special Issue on "Filtering and segmentation with mathematical morphology", IEEE Journal on Selected Topics in Signal Processing, v. 6, no. 7, p. 737-886, 2012.
  • B. S. Daya Sagar and Jean Serra (Eds.), Special Issue on “Spatial Information Retrieval, Analysis, Reasoning and Modelling”, International Journal of Remote Sensing, v. 31, no. 22, p. 5747-6032, 2010.

Journal Publications (year-wise) with ISI affiliation

(For full publication-list, please refer to homepages of respective faculty member of SSIU)

2014

  • Saroj K. Meher, "Explicit Rough-Fuzzy Pattern Classification Model", Pattern Recognition Letters, vol. 36, pp. 54-61, 2014.
  • Meher, S. K.: Recursive and Noise-Exclusive Fuzzy Switching Median Filter for Impulse Noise Reduction, Engineering Applications of Artificial Intelligence, 30, 145-154, 2014
  • Majumdar, K., Prasad, P. D., and Verma, S.: Synchronization implies seizure or seizure implies synchronization?, Brain Topography, 27(1), 112–122, 2014.
  • Majumdar, K.: Simultaneous multi-channel peaks and troughs in focal epileptic ECoG is more after offset than during the seizure, Journal of Biomedical Signal Processing and Control, 10), 58–64, 2014.
    B. S. Daya Sagar, 2014, Erratum to “Visualization of Spatiotemporal Behavior of Discrete Maps via Generation of Recursive Median Elements”, IEEE Transactions on Pattern Analysis and Machine Intelligence, v. 36, no. 3. (DOI:10.1109/TPAMI.2014.23)
  • B. S. Daya Sagar, 2014, Cartograms via mathematical morphology, Information Visualization, v. 13, no. 1, p. 42-58.

2013

  • Meher, S.K., and Murty, M. N.:Efficient Method of Moving Shadow Detection and Vehicle Classification, AEU-International Journal of Electronics and Communications, 67(8), 665-670, 2013.
  • Pal, S. K. (MIU), and Meher, S.K.:Natural Computing: A Problem Solving Paradigm with Granular Information Processing, Applied Soft Computing, 13(9), 3944-3955, 2013.
  • B. S. Daya Sagar, N. Rajesh, S. Ashok Vardhan, and Pratap Vardhan, 2013, Metric based on morphological dilation for the detection of spatially significant zones, IEEE Geoscience and Remote Sensing Letters, v. 10, no. 3, p. 500-504.
  • S. Ashok Vardhan, B. S. Daya Sagar, N. Rajesh, and H. M. Rajashekara, 2013, Automatic detection of orientation of mapped units via directional granulometric analysis, IEEE Geoscience and Remote Sensing Letters, v. 10, no. 6, p. 1449-1453.
  • P.D. Prasad, S. Vishaka Datta, K.K. Majumdar, Enhanced phase and amplitude synchronization towards focal seizure offset, Clinical EEG and Neuroscience, vol. 44(1), pp.16 - 24, 2013.
  • Synchronization implies seizure or seizure implies synchronization?, Kaushik Majumdar, Pradeep D. Prasad, Shailesh Verma, Brain Topography, 2013, available online at
    http://link.springer.com/article/10.1007/s10548-013-0284-z.

2012

  • Laurent Najman, Junior Barrera, B. S. Daya Sagar, Petros Maragos, and Dan Schonfeld, 2012, Introduction to the Issue on Filtering and Segmentation with Mathematical Morphology IEEE Journal of Selected Topics in Signal Processing, v. 6, no. 7, p. 737-738.
  • H. M. Rajashekara, Pratap Vardhan, and B. S. Daya Sagar, 2012, Generation of zonal map from point data via weighted skeletonization by influence zone, IEEE Geoscience and Remote Sensing Letters, 9 (3), p.403-407, 2012.
  • Shivendra Tewari and Kaushik Majumdar, A mathematical model of tripartite synapse: Astrocyte induced synaptic plasticity, Journal of Biological Physics, v. 38(3), pp. 465-496, 2012.
  • Shivendra Tewari and Kaushik Majumdar, A mathematical model for astrocyte mediated LTP at single hippocampal synapses, Journal of Computational Neuroscience, v. 33(2), p. 341-370, 2012.
  • Kaushik Majumdar, Differential operator in seizure detection, Computers in Biology and Medicine, 42(1): 70-74, 2012.

2011

  • Saroj K. Meher and S. K. Pal, Rough-wavelet granular space and classification of multispectral remote sensing image, Applied Soft Computing, 11 (8), 5662-5673, 2011.
  • B. Uma Shankar, Saroj K. Meher and Ashish Ghosh (MIU), Wavelet-Fuzzy-Hybridization: Feature-extraction and Land-cover Classification of Remote Sensing Images, Applied Soft Computing, 11 (3), 2999-3011, 2011.
  • Lim Sin Liang, B. S. Daya Sagar, Koo Voon Chet, and Tay Lea Tien,  Morphological convexity measures for terrestrial basins derived from Digital Elevation Models, Computers & Geosciences, 37 (9), 1285-1294, 2011.
  • Kaushik Majumdar and Pratap Vardhan, Automatic Seizure Detection in ECoG by Differential Operator and Windowed Variance, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 19 (4), 356–365, 2011.
  • Kaushik Majumdar, Human scalp EEG processing: various soft computing approaches, Applied Soft Computing, 11 (8), 4433–4447, 2011.

2010

  • A Ghosh, B. Uma Shankar, Lorenzo Bruzzone, Saroj K. Mehar, “Neuro-Fuzzy-Combiner: An Effective Multiple Classifier System”, International Journal of Knowledge Engineering and Soft Data Paradigms (IJKESFP), vol. 2, no. 2, pp.107-129, 2010.
  • B. S. Daya Sagar and Jean Serra, 2010, Spatial Information Retrieval, Analysis, Reasoning and Modelling, International Journal of Remote Sensing, v. 31, no. 22, 2010, p. 5747-5750).
  • B. S. Daya Sagar, 2010, Visualization of spatiotemporal behavior of discrete maps via generation of recursive median elements, IEEE Transactions on Pattern Analysis and Machine Intelligence, v. 32, no. 2, p. 378-384.

2009

  • Kaushik Majumdar, Constraining Minimum Norm Inverse by Phase Synchronization and Signal Power of the Scalp EEG Channels, IEEE Transactions on Biomedical Engineering, v. 56(4):1228, 2009.
  • Lim Sin Liang, Voon Chet Koo and B. S. Daya Sagar, 2009, Computation of complexity measures of morphologically significant zones decomposed from binary fractal sets via multiscale convexity analysis, Chaos, Solitons & Fractals, v. 41, no. 3, pp. 1253-1262, 10.1016/j.chaos.2008.05.006.
  • M. N. Smadi, S. C. Ghosh, A. A. Farid, T. D. Todd and S. Hranilovic, Free-space optical gateway placement in hybrid wireless mesh networks, IEEE/OSA Journal of Lightwave Technology, Vol 27, Issue 14, pp. 2688-2697, July 2009.

2008

  • Lim Sin Liang, and B. S. Daya Sagar, 2008, Cloud field segmentation via multiscale convexity analysis, Journal of Geophysical Research-Atmospheres, v. 113, D13208, doi:10.1029/2007JD009369.
  • Lim Sin Liang, and B. S. Daya Sagar, 2008, Derivation of geodesic flow fields and spectrum in digital topographic basins, Discrete Dynamics in Nature and Society, Volume 2008, Article ID 312870, 26 pages, doi:10.1155/2008/312870.

Conference Procedings