Home     Education     Research     Publication     Awards & Honors     Resources      
These publications are provided to the academic community for use in teaching and research. All copyrights remain with the appropriate parties as listed in the publications themselves.
 
Scientific Publications
 
Journal Articles

 ·        Oommen, T., and Baise, L.G., 2010, Model development and validation for intelligent data

       collection for lateral spread displacements. Journal of Computing in Civil Engineering, (in press).

 

 ·        Misra, D., Oommen, T., Agarwal, A., Mishra, S.K., and Thompson, A., 2009, Application and     

       Analysis of Support Vector Machine Based Simulation for Runoff and Sediment Yield. Biosystems 

       Engineering, 103(4): 527-535. Pdf

·        Oommen, T., Prakash, A., Misra, D., Kelley, J.J., Naidu, S., and Bandopadhyay, S., 2008, GIS Based Marine Platinum Exploration, Goodnews Bay, Southwest Alaska. Marine Georesources & Geotechnology, 26(1):1-18. Pdf

·        Oommen, T., Misra, D., Twarakavi, N.K.C., Prakash, A., Sahoo, B., and Bandopadhyay, S., 2008 An Objective Analysis of Support Vector Machine Based Classification for Remote Sensing. Mathematical Geology, 40(4):409-424. Pdf

·        Sahoo, B., Oommen, T., Misra, D., and Newby, G., 2007, S-Transform as a Discrimination Tool in Classification of Hyperspectral Images. Canadian Journal of Remote Sensing, 33(6):551-560. Pdf

·        Misra, D., Schatzinger, A.R., and Oommen, T., 2005, Use of Modal and Geostatistical Analysis of Outcrop Analog to Assess the Lateral Variability of Geohydrological Parameters. World Journal of Engineering, 2(3):89-103.  Pdf

Journal Articles In Review 

·        Oommen, T., Baise L.G., and Vogel R.M. (2009). Validation and application of empirical

      liquefaction models. Journal of Geotechnical and Geoenvironmental Engineering (In second round

      review). 

·        Oommen, T., Baise L.G., and Vogel R.M. (2009). Sampling bias and class imbalance in maximum

      likelihood logistic regression. Mathematical Geosciences (In review).

Journal Articles In Preparation 

·        Oommen, T., Baise L.G., Gens R., Prakash A., and Gupta R.P. (2010). Multisensor and multispectral

      approach in documenting and analyzing liquefaction hazard using satellite remote sensing.

      Bulletin of the Seismological Society of America.

·        Oommen, T., Misra D., and Prakash A. (2010). Multiple regressive pattern recognition technique:

      An adapted approach for improved georesource estimation. Journal of Computing in Civil Engineering.

Conference Papers 

·        Oommen, T., and Baise L.G. (2010). A practical approach for implementing the probability of

      liquefaction in performance based design. Fifth International Conference on Recent Advances in

      Geotechnical Earthquake Engineering and Soil Dynamics. 

·        Oommen, T., and Baise L.G. (2008). A new approach to liquefaction potential mapping using remote

      sensing and machine learning. IEEE International Geoscience & Remote Sensing Symposium 1(III): 51-      54.

·        Oommen, T., Misra D., Agarwal A., and Mishra S.K. (2007). Analysis and application of support

      vector machine based simulation for runoff and sediment yield. American Society of Agricultural  and     

      Biological Engineers.

Reports

·        Misra, D., T.A. Heinrichs, S. Bandopadhyay, S.A. Naidu, and T. Oommen, 2008: Web

Server Mapping, Reserve Definition, and Resource Assessment of Platinum Placers in

Goodnews Bay Region, Alaska, Technical Report Submitted to Mineral Management

Services, U.S. Department of Interior through the Marine Mining Technology Center –Arctic Seas Division, University of Alaska Fairbanks, Fairbanks, Alaska, MMS Cooperative Agreement #1435-02-01-CA-85124.

·        Bandopadhyay, S., D. Misra, A. Prakash, S.A. Naidu, J.J. Kelley and T. Oommen, 2008: GIS Based Assessment of Platinum Placers in Goodnews Bay Region, Alaska, Technical Report Submitted to Mineral Management Services, U.S. Department of Interior through the Marine Mining Technology Center – Arctic Seas Division, University of Alaska Fairbanks, Fairbanks, Alaska, MMS Cooperative Agreement #1435-01-02-CA-85124. 

Abstracts and Conference Presentations 

·        Oommen T., and Baise L.G. (2010). A practical approach for implementing the probability of

      liquefaction in performance based design. Fifth International Conference on Recent Advances in

      Geotechnical Earthquake Engineering and Soil Dynamics May 24-29, 2010, San Diego, California.

·        Oommen T., Baise L.G., Gens R., Prakash A., and Gupta R.P. (2009). Documenting liquefaction

      failures using satellite remote sensing and artificial intelligence algorithms. Eos Trans. AGU, Fall

      Meet. Suppl. Dec 14-18, 2009. San Francisco, California.

·        Misra D., Oommen T., Radatz T., and Thompson A. (2008). Using support vector machines to

      characterize runoff-triggering in small watersheds. Eos Trans. AGU, Fall Meet. Suppl. Dec 14-18,

      2009. San Francisco, California.

·        Oommen T., Baise L.G., Gens R., Prakash A., and Gupta R.P. (2008). Multisensor and

      multispectral approach in documenting and analyzing liquefaction hazard using remote sensing.

      Eos Trans. AGU, Fall Meet. Suppl. Abstract INI13A-1054.

·        Misra D., Oommen T., Prasanna H.G., Bajwa S.G., and Howell T.A. (2008). Estimation of Leaf

      Area Index from Landsat Imagery for Texas High Plains using Support Vector Machines. Eos

      Trans. AGU, Fall Meet. Suppl. Abstract H31C-0879.

·        Oommen T., Radatz T., Thompson A., and Misra D. (2008). Probability of Triggering Runoff in

       Small Watersheds Using Support Vector Machines. Association of Environmental & Engineering

      Geologists 51st Annual Meeting September 15-20, New Orleans, LA, USA. 

·        Oommen T., and Baise L.G. (2008). A new approach to liquefaction potential mapping using

       remote sensing and machine learning. IEEE International Geoscience & Remote Sensing

       Symposium 1(III): 51-54. 

·        Oommen T., and Baise L.G. (2008). Critical Evaluation of Lateral Spread Displacement Using

       Support Vector Regression and Stack Generalization. Seismological Research Letters 79(2):277.

·        Oommen T., Radatz T., Thompson A., and Misra D. (2008). Developing Runoff-Triggering

       Characteristics in Small Watersheds Using Artificial Intelligence Models.American Society of

      Agricultural and Biological Engineers June 29- July 2, Providence, RI, USA. 

·        Oommen, T., and Misra, D., 2008, Spatial & Temporal Modeling Using Artificial Intelligence

      /Pattern Recognition Technique, Annual Alaska-American Water Resources Association Conference,

       Jan 28-31, Juneau, AK, USA. 

·        Oommen, T., and Baise, L.G., 2007, A New Approach to Liquefaction Potential Mapping Using 

       Remote Sensing and Machine Learning. Eos Trans. AGU, 88(52), Fall Meet. Suppl., Abstract H41G-

       0845.

·        Oommen, T., and Baise, L.G., 2007, A New Approach to Liquefaction Potential Mapping Using

       Remote Sensing and Machine Learning. Northeast Geotechnical Graduate Research Symposium, UMass

       Amherst, MA, USA. link

·        Sahoo, B., Oommen, T., and Misra, D., 2007, Using 1D S-Transform as a Discrimination Tool in

      Classification of Hyperspectral Images. Association of Environmental & Engineering Geologists 50th

       Annual Meeting, September 24-29, Los Angeles, CA, USA.

·        Oommen, T., and  Misra, D., 2007, Comparative Analysis of Artificial Neural Networks and Support

      Vector Machines for Simulation of Runoff and Sediment Yield, Annual Alaska-American Water  

      Resources Association Conference, April 3-5, Fairbanks, AK, USA. 

·        Oommen, T., Misra, D., Agarwal, A., and Mishra, S.K., 2007, Analysis and Application of Support 

      Vector Machine Based Simulation for Runoff and Sediment Yield. American Society of Agricultural and

      Biological Engineers, Annual Meeting 073019, Minneapolis, MN, USA. link  

·        Oommen, T., Misra, D., Prakash, A., Bandopadhyay, S., Naidu, S., and Kelley, J.J., 2006, Marine

      Geodatabase and Multiple Regressive Pattern Recognition Technique: A New Approach to Marine

      Placer Resource Assessment. Eos Trans. AGU, 87(52), Fall Meet. Suppl., Abstract IN14A-05.

·        Sahoo, B., Oommen, T., Misra, D., and Newby, G., 2006, Application of 1D S-Transform in

      Discrimination Problems in Remote Sensing. Eos Trans. AGU, 87(52), Fall Meet. Suppl., Abstract

      IN11A-1152.

·        Misra, D., Oommen, T., Agarwal, A., and Mishra, S.K., 2006, Simulation of Runoff and Sediment

       Yield Using Support Vector Machines: A Preliminary Analysis. Eos Trans. AGU, 87(52), Fall Meet.

      Suppl., Abstract H31E-1470.

·        Oommen, T., Kelley, J.J., Naidu, S., Prakash, A., Misra, D., and Bandopadhyay, S., 2005, A

       Preliminary GIS Analysis of Marine Geophysical Signatures to Decipher Distribution Patterns of

       Platinum Placer in Offshore Goodnews Bay Region, Alaska. Eos Trans. AGU, 86(52), Fall Meet.

       Suppl., Abstract IN23B-1214.

·         Oommen, T., Prakash, A., Misra, D., Gens, R., Bandopadhyay, S., Naidu, S., and Kelley, J.J., 2005,

       Marine Placer Platinum Prospects Near Goodnews Bay, Alaska: GIS database design and preliminary

       analysis. Alaska Geological Society, Geology Symposium, Fairbanks, AK, USA.