NIH/NIST Postdoctoral fellow

Laboratory of Cellular and Synaptic Neurophysiology, NICHD

Process Sensing Group, NIST

e-mail: barani

 

Welcome,

I am a postdoctoral researcher in the Laboratory of Cellular and Synaptic Neurophysiology (NICHD) of Mark Stopfer, and the Process Sensing Group (NIST) of Steve Semancik. I received my Bachelor of Computer Engineering with distinction from the University of Madras in 2000, and my M.S. and Ph.D. degree in Computer Science from Texas A&M University in 2003 and 2005 respectively. 

My current research interests are in neural computation (computational and electrophysiological approaches), sensor-based machine olfaction, machine learning, biologically inspired intelligent systems & robotics, and dynamical systems.

Research Projects:

  • Combining electrophysiology and computational approaches to understand olfactory signal processing

  • Neuromorphic chemical sensing using MEMS microsensor arrays 

Teaching:

  • Local Area Networking (ENTC 425)

  • Introduction to Pattern Recognition (CPSC 689, several lectures)

Thesis & Dissertation:

  • Sensor-based machine olfaction with neuromorphic models of the olfactory system, Ph.D. Dissertation, September 2005.

  • Enhancing learning with feature selection and example selection, Masters Thesis, Jan 2003.

Journal Papers (accepted):

1. Contrast enhancement of gas sensor array patterns with a neurodynamics model of the olfactory bulb.
    B. Raman, T. Yamanaka, and R. Gutierrez-Osuna
    to appear in Sensors & Actuators (B): Chemical, 2006.

2. Processing of chemical sensor array with a biologically-inspired model of olfactory coding
    B. Raman, P. Sun, A. Gutierrez-Galvez, and R. Gutierrez-Osuna
    IEEE Transactions of Neural Networks, Vol. 17, no. 4, pp. 1015-1024, 2006.

3. Concentration normalization with a model of gain control in the olfactory bulb 
    B. Raman and R. Gutierrez-Osuna
    Sensors and Actuators (B): Chemical, Vol. 116, no. 1-2, pp. 36-42, 2006.

4. A dimensionality-reduction technique inspired by receptor convergence in the olfactory system 
    A. Perera, T. Yamanaka, A. Gutierrez-Gálvez, B. Raman, and R. Gutierrez-Osuna
    Sensors and Actuators (B): Chemical ,Vol. 116, no. 1-2, pp. 17-22, 2006.

5. Computer based pedestrian landscape design using decision tree templates
    Barani Raman and Jody R. Naderi
    Advanced Engineering Informatics, Vol. 20, no. 1, pp.23-30, 2006.

Conference Proceedings (accepted):

1. Mixture segmentation and background suppression in chemical sensor arrays with a model of olfactory bulb-cortex interaction
    B. Raman and R. Gutierrez-Osuna
    Proceedings of the International Joint conference on Neural Networks (IJCNN 2005), Montreal, Canada, July 31- Aug 4, 2005.

2. Concentration normalization with a model of gain control in the olfactory bulb
    B. Raman and R. Gutierrez-Osuna
    Proceedings of the 11th International Symposium on Olfaction and the Electronic Nose (ISOEN 2005), Barcelona, Spain, April 13-15, 2005.

3. A dimensionality-reduction technique inspired by receptor convergence in the olfactory system
    A. Perera, T. Yamanaka, A. Gutierrez-Gálvez, B. Raman, and R. Gutierrez-Osuna
    Proceedings of the 11th International Symposium on Olfaction and the Electronic Nose (ISOEN 2005), Barcelona, Spain, April 13-15, 2005.

4. Chemosensory processing in a spiking model of the olfactory bulb: chemotopic convergence and center surround inhibition
    B. Raman and R. Gutierrez-Osuna
    Advances in Neural Information Processing Systems 17 (NIPS 2004), Vancouver, BC, December 13-16, 2004.

5. Cancellation of chemical backgrounds with generalized Fisher's linear discriminants
    R. Gutierrez-Osuna and B. Raman
    Proceedings of the 3rd IEEE SENSORS Conference, Vienna, October 24-27, 2004.

6. Sensor-based machine olfaction with a neurodynamics model of the olfactory bulb
    B. Raman, A. Gutierrez-Galvez, A. Perera-Lluna, R. Gutierrez-Osuna
    Proceedings of the IEEE International Conference on Intelligent Robots and Systems (IROS 04), Sendai, Japan, Vol. 1, pp.319-324, 2004.

7. Decision tree templates for interactive evidence-based design of site-specific use-specific pedestrian environments
    B. Raman and J.R. Naderi
    First International Conference of Design Cognition and Computing, MIT, USA, July 2004.

8. Pattern Recognition for chemical sensors with KIII model
    A. Gutierrez-Galvez, R. Gutierrez-Osuna, B. Raman
    Intentional Dynamical Systems Symposium 2004, Memphis, USA, April 2004.

Presentations:

1. Chemosensory processing in a spiking model of the olfactory bulb: chemotopic convergence and center surround inhibition
    NIPS 2004, Vancouver, BC, December 14, 2004.

2. Sensor-based machine olfaction with neuromorphic models of the olfactory system
   Parasol seminars, Department of Computer Science, Texas A&M University, November 2004.

3. Decision tree templates for interactive evidence-based design of site-specific use-specific pedestrian environments
   First International conference of Design Cognition and Computing, MIT, July 2004.

 

 


last modified Sep 11, 2006.