Site Network: OSUChBE Dept.PSE Group


Book Chapters    |    Journal Articles    |    Technical Reports

Book Chapters

  1. Thermodynamic Input-Output Analysis of Economic and Ecological Systems
    Ukidwe, N. U., J. L. Hau, and B. R. Bakshi, chapter in Handbook of Input-Output Economics in Industrial Ecology, ed. S. Suh, Springer, 2006

  2. International Comparisons of Environmental Hazards
  3. Norberg-Bohm, V., W. Clark, B. Bakshi, J. Berkenkamp, S. A. Bishko, M. D. Koehler, J. A. Marrs, C. P. Nielsen, and A. Sagar, Global Environmental Risk, eds. Kasperson, J. X., Kasperson, R. E., United Nations University Press, New York, 2001
     
  4. Multiscale Estimation of Linear Dynamic Systems with and without Accurate Models
  5. Ungarala, S., and B. R. Bakshi, to appear in Wavelets in Signal and Image Analysis, eds. A. Petrosian and F. Meyer, Kluwer Academic Publishers, 2001
     
  6. Multiscale Statistical Process Control and Model-Based Denoising
  7. Bakshi, B. R., Wavelets in Chemistry, ed. B. Walczak, Elsevier, 2000
     
  8. Multiscale Methods for Denoising and Compression
  9. Nounou, M. N. and B. R. Bakshi, Wavelets in  Chemistry, ed. B. Walczak, Elsevier, 2000
     
  10. Process Data Analysis and Interpretation
  11. Davis, J. F., Piovoso, M., Hoo, K. A., Bakshi, B. R., Advances in Chemical Engineering, vol. 25, Academic Press, 2000
     
  12. Connections Between Artificial Neural Networks and Multivariate Statistical Methods - An Overview
  13. Utojo, U., Bakshi, B. R., in Neural Networks in Bioprocessing and Chemical Engineering, by D. R. Baughman and Y. A. Liu, Academic Press, San Diego, CA, 1995
     
  14. Reasoning in Time; Modeling, Analysis and Pattern Recognition of Temporal Process Trends
  15. Bakshi, B. R., Stephanopoulos, G., in Advances in Chemical Engineering, vol. 22, Paradigms of Intelligent Systems in Process Engineering , eds. G. Stephanopoulos and C. Han, Academic Press, San Diego, CA, 1995
    Abstract
     
  16. Empirical Learning Through Neural Networks: The Wave-Net Solution
  17. Koulouris, A., Bakshi, B. R., Stephanopoulos, G., in Advances in Chemical Engineering, vol. 22, Paradigms of Intelligent Systems in Process Engineering, eds. G. Stephanopoulos and C. Han, Academic Press, San Diego, CA, 1995
     
  18. Non-Monotonic Reasoning: The Synthesis of Operating Procedures in Chemical Plants
  19. Han, C., Lakshmanan, R., Bakshi, B. R., Stephanopoulos, G., in Advances in Chemical Engineering, vol. 22, Paradigms of Intelligent Systems in Process Engineering, eds. G. Stephanopoulos and C. Han, Academic Press, San Diego, CA, 1995
     
  20. Learning at Multiple Resolutions: Wavelets as Basis Functions in Artificial Neural Networks and Inductive Decision Trees
  21. Bakshi, B. R., Koulouris, A., Stephanopoulos, G., in Wavelet Applications in Chemical Engineering , eds. R. Motard and B. Joseph, Kluwer Inc., Boston, 1994
    Abstract

Back to top of page

Journal Articles

  1. Thermodynamic Metrics for Aggregation of Natural Resources in Life Cycle Analysis: Insight via Application to Some Transportation Fuels,
    Baral, A., Bakshi, B. R., Environmental Science and Technology, accepted, 2009

  2. Integrated Estimation of Measurement Error With Empirical Process Modeling - A Hierarchical Bayes Approach
    Chen, H., Bakshi, B. R., Goel, P. K., AIChE Journal, 55, 11, 2883-2895, 2009

  3. 1,3-Propanediol from Fossils versus Biomass: A Life Cycle Evaluation of Emissions and Ecological Resources
    Urban, R. A., Bakshi, B. R., Industrial and Engineering Chemistry Research, 48, 17, 8068-8082, 2009

  4. Carbon Nanofiber Polymer Composites: Evaluation of Life Cycle Energy Use,
    Khanna, V., Bakshi, B. R., Environmental Science and Technology, 43, 6, 2078-2084, 2009

  5. Carbon Nanofiber Production : Life Cycle Energy Consumption and Environmental Impact
    Khanna, V., Bakshi, B. R., Lee, L. J., Journal of Industrial Ecology, 12, 3, 394-410, 2008

  6. Multiscale Statistical Process Control Using Wavelet Packets
    Reis, M. S., Bakshi, B. R., Saraiva, P. M., AIChE Journal, 54, 9, 2366-2378, 2008

  7. Resource Intensities of Chemical Industry Sectors in the United States via Input-Output Network Models,
    Ukidwe, N. U., Bakshi, B. R., Comp. Chem. Eng., 32, 9, 2050-2064, 2008

  8. Exergy: its potential and limitations in environmental science and technology,
    Dewulf, J., Langenhove, H., Muys, B., Bruers, S., Bakshi, B. R., Grubb, G., Paulus, D., Sciubba, E., Environmental Science and Technology, 42, 7, 2221-2232, 2008

  9. Life Cycle Assessment of an Ionic Liquid versus Molecular Solvents and Their Applications,
    Zhang, Y., Bakshi, B. R., and Sahle-Demessie, E., Environmental Science and Technology, 42, 5, 17241730, 2008

  10. Toward Bayesian Chemometrics - A Tutorial on Some Recent Advances
    Chen, H., Bakshi, B. R., and Goel, P. K., Analytica Chimica Acta, 602, 1-16, 2007

  11. Bayesian Latent Variable Regression via Gibbs Sampling: Methodology and Practical Aspects,
    Chen, H., Bakshi, B. R., and Goel, P. K., J. Chemometrics, 21, 12, 578-591, 2007

  12. Enhancing Life Cycle Inventories via Reconciliation with the Laws of Thermodynamics,
    Hau, J. L., Yi, H.-S., and Bakshi, B. R., J. Industrial Ecology, 11, 4, 5-25, 2007

  13. Bayesian Estimation via Sequential Monte Carlo Sampling - Constrained Dynamic Systems
    Chen, W.-S.,  Lang, L., Bakshi, B. R., Goel, P. K., and Ungarala, S., Automatica, 43, 1615-1622, 2007

  14. Rectification of Multiscale Data with Application to Life Cycle Inventories
    Yi, H.-S., and Bakshi, B. R., AIChE Journal, 53, 4, 876-890, 2007

  15. Industrial and Ecological Cumulative Exergy Consumption of the United States via the 1997 Input-Output Benchmark Model
    Ukidwe, N. U., and Bakshi, B. R., Energy, 32, 1560-1592, 2007

  16. Particle Filtering and Moving Horizon Estimation
    Rawlings, J. B., and B R. Bakshi, Computers and Chemical Engineering, 30, 10-12, 1529-1541, 2006

  17. Flow of Natural versus Economic Capital in Industrial Supply Networks and its Implications to Sustainability
    Ukidwe, N. U., and B. R. Bakshi, Environmental Science and Technology, 39, 24, 9759-9769, 2005

  18. Hierarchical Thermodynamic Metrics for Evaluating the Environmental Sustainability of Industrial Processes
    Yi, H.-S., J. L. Hau, N. U. Ukidwe, and B. R. Bakshi, Environmental Progress, special issue on Sustainable Engineering, 23, 4, 302-314, 2004

  19. Thermodynamic Accounting of Ecosystem Contribution to Economic Sectors with Application to 1992 US Economy
    Ukidwe, N. U., and B. R. Bakshi, Environmental Science and Technology, 38, 18, 4810-4827, 2004

  20. Clustering in Wavelet Domain: A Multiresolution ART Network for Anomaly Detection
    Aradhye, H. B., B. R. Bakshi, J. F. Davis, and S. C. Ahalt, AIChE Journal, 50, 10, 2455-2466, 2004

  21. Promise and Problems of Emergy Analysis
    Hau, J. L., and B. R. Bakshi, Ecological Modelling, special issue in honor of H. T. Odum, 178, 215-225, 2004
    Paper

  22. Bayesian Estimation via Sequential Monte Carlo Sampling: Unconstrained Nonlinear Dynamic Systems
    Chen, W.-S., B. R. Bakshi, P. K. Goel, and S. Ungarala, Industrial and Engineering Chemistry Research, 43, 14, 4012-4025, 2004
    Paper

  23. Expanding Exergy Analysis to Account for Ecosystem Products and Services
    Hau, J. L., and B. R. Bakshi, Environmental Science and Technology, 38, 13, 3768-3777, 2004
    Paper

  24. The Quest for Sustainability: Challenges for Process Systems Engineering
    Bakshi, B. R., and J. Fiksel, AIChE Journal, cover article, 49, 6, 1350-1358, 2003
    Paper, cover image

  25. Multiscale SPC Using Wavelets - Theoretical Analysis and Properties
    Aradhye, H. B., B. R. Bakshi, R. A. Strauss, and J. F. Davis, AIChE Journal, 49, 4, 939-958, 2003
    Paper

  26. ART-2 and Multiscale ART-2 for On-Line Process Fault Detection - Validation via Industrial Case Studies and Monte Carlo Simulation
    Aradhye, H. B., J. F. Davis, B. R. Bakshi, Annual Reviews in Control, 26, 1, 113-127, 2002

  27. Bayesian Principal Component Analysis
    Nounou, M. N., B. R. Bakshi, P. K. Goel, and X. Shen, Journal of Chemometrics, 16, 11, 576-595, 2002
    Paper

  28.  
  29. Process Modeling by Bayesian Latent Variable Regression
  30. Nounou, M. N., B. R. Bakshi, P. K. Goel, and X. Shen, AIChE Journal, 48, 8, 1775-1793, 2002
    Paper
     
  31. Multiscale and Bayesian Approaches to Data Analysis in Genomics High Throughput Screening
    Yang, C., B. R. Bakshi, J. F. Rathman, P E. Blower, Jr., Current Opinion in Drug Discovery and Delivery , 5, 3, 428-438, 2002
  32. Comparison of Statistical Process Monitoring Methods: Application to the Eastman Challenge Problem
  33. Kano, M., K. Nagao, S. Hasebe, I. Hashimoto,H. Ohno, R. Strauss, and B. Bakshi, Computers and Chemical Engineering, special issue on selected papers from PSE 2000, 26, 2, 161-174, 2002
    Paper
     
  34. A Thermodynamic Framework for Ecologically Conscious Process Systems Engineering
  35. B. R. Bakshi, Computers and Chemical Engineering, special issue on selected papers from PSE 2000, 26, 2, 269-282, 2002
    Paper
     
  36. Multiscale Bayesian Data Rectification of Linear Steady-State and Dynamic Systems without Accurate Models
  37. Bakshi, B. R., M. N. Nounou, P. K. Goel, and X. Shen, Industrial and Engineering Chemistry Research , 40, 1, 261 -274, 2001
    Abstract and Paper
     
  38. Interplay of Large Materials Databases Semi-empirical Methods, Neuro-computing and First Principle Calculations for Ternary Compound Former/Nonformer Prediction
    Villars, P., K. Brandenburg, M. Berndt, S. LeClair, A. Jackson, Y.-H. Pao, B. Igelnik, M. Oxley, B. Bakshi, P. Chen, and S. Iwata, Engineering Applications of Artificial Intelligence , 13, 5, 497-505, 2000
    Paper

  39. Binary, Ternary and Quaternary Compound Former/Nonformer Prediction via Mendeleev Number
    Villars, P., K. Brandenburg, M. Berndt, S. LeClair, A. Jackson, Y. H. Pao, B. Igelnik, M. Oxley, B. Bakshi, and P. Chen, Journal of Alloys and Compounds, 317-318, 26-38, 2001
    Paper
  40.  
  41. A Thermodynamic Framework for Ecologically Conscious Process Systems Engineering
  42. B. R. Bakshi, Computers and Chemical Engineering, 24, 2-7, 1767-1773, 2000 (proceedings of PSE 2000, plenary talk)
    Paper
     
  43. A Multiscale, Bayesian and Error-In-Variables Approach for Linear Dynamic Data Rectification
  44. Ungarala, S., and B. R. Bakshi, Computers and Chemical Engineering, 24, 2-7, 445-451, 2000 (proceedings of PSE 2000)
    Paper
     
  45. Comparison of Statistical Process Monitoring Methods: Application to the Eastman Challenge Problem
  46. Kano, M., K. Nagao, S. Hasebe, I. Hashimoto, H. Ohno, R. Strauss, and B. Bakshi, Computers and Chemical Engineering, 24, 2-7, 175-181, 2000 (proceedings of PSE 2000, plenary talk)
    Paper
     
  47. Multiscale Analysis and Modeling Using Wavelets
  48. Bakshi, B. R., Journal of Chemometrics, 13, 3-4, 415-434, 1999
    Abstract , Paper
     
  49. Online Multiscale Filtering of Random and Gross Errors Without Process Models
  50. Nounou, M. N. and B. R. Bakshi, AIChE Journal, 45, 5, 1041-1058, 1999
    Abstract , Paper
     
  51. A Common Framework and Overview for the Unification of Neural, Chemometric and Statistical Modeling Methods
  52. Bakshi, B. R. and U. Utojo, Analytica Chimica Acta, special issue on neural networks, 384, 227-247, 1999
    Abstract , Paper
     
  53. Unification of Neural and Statistical Methods that Combine Inputs by Linear Projection
  54. Bakshi, B. R. and U. Utojo, Computers and Chemical Engineering, 22, 12, 1859-1878, 1998
    Abstract , Paper
     
  55. Unification of Neural and Statistical Methods as Applied to Materials Structure-Property Mapping
  56. Bakshi, B. R. and R. Chatterjee, Journal of Alloys and Compounds, 279, 1, 39-46, 1998
    Abstract , Paper
     
  57. Multiscale PCA with Application to Multivariate Statistical Process Monitoring
  58. Bakshi, B. R., AIChE Journal , 44, 7, 1596-1610, 1998
    Abstract , Text , Figures
     
  59. Multiscale Rectification of Random Errors without Process Models
  60. Bakshi, B. R., P. Bansal and M. Nounou, Computers and Chemical Engineering, 21, S1167-S1172, 1997
    Abstract , Paper
     
  61. Multifractal Characterization of Flow in Circulating Fluidized Beds
  62. Zhong, H., Bakshi, B. R., Jiang, P., Fan, L.-S., The Chemical Engineering Journal, special issue on Chaos and Fractals in Chemical Engineering, 64, 107-115, 1996
    Abstract, Paper
     
  63. Compression of Chemical Process Data Through Functional Approximation and Feature Extraction
  64. Bakshi, B. R., Stephanopoulos, G., AIChE Journal, 42, 2, 477-492, 1996
    Abstract
     
  65. A Method for an Automated Rule Extraction From Raw Process Data Part 1: Process Trends, Wavelet Transformation and Decision Trees (in German)
  66. Locher, G., B. Bakshi, Geo. Stephanopoulos, Greg. Stephanopoulos and K. Schügerl, Automatisierungstechnik , 44, 2, 61-70, February 1996
     
  67. A Method for an Automated Rule Extraction From Raw Process Data Part 2: A Case Study (in German)
  68. Locher, G., B. Bakshi, Geo. Stephanopoulos, Greg. Stephanopoulos and K. Schügerl, Automatisierungstechnik , 44, 3, 138-145, March 1996
     
  69. Analysis of Flow in Gas-Liquid Bubble Columns Using Multi-Resolution Methods
  70. Bakshi, B. R., Zhong, H., Jiang, P., Fan, L.-S., Trans. Inst. Chem. Eng., Part A, 73, 608-614, August, 1995
    Abstract
     
  71. Representation of Process Trends, Part III. Multi-Scale Extraction of Trends from Process Data
  72. Bakshi, B. R., Stephanopoulos, G., Computers and Chemical Engineering , 18, 4, 267-302, 1994
    Abstract
     
  73. Representation of Process Trends, Part IV. Induction of Real-Time Patterns from Operating Data for Diagnosis and Supervisory Control
  74. Bakshi, B. R., Stephanopoulos, G., Computers and Chemical Engineering , 18, 4, 303-332, 1994
    Abstract
     
  75. Analysis of Operating Data for Evaluation, Diagnosis and Control of Batch Operations
  76. Bakshi, B. R., Locher, G., Stephanopoulos, Greg., Stephanopoulos, Geo., Journal of Process Control , 4, 4, 175-194, 1994
    Abstract
     
  77. "Database mining" mit Hilfe von Trends, Wavelettransformation und Klassifizierungsbäumen
  78. Locher, G., Bakshi, B., Stephanopoulos, Geo., Stephanopoulos, Greg., Schügerl, K., Chemie Ingenieur Technik , 66, 3, 541, 1994
     
  79. Wavelet Networks for Localized Learning in a Multi-Resolution Hierarchy
  80. Bakshi, B. R. and G. Stephanopoulos, Communication and Cognition - Artificial Intelligence, 10, 1-2, 23-37, 1993
     
  81. Wave-Net: A Multi-Resolution, Hierarchical Neural Network with Localized Learning
  82. Bakshi, B. R., Stephanopoulos, G., AIChE Journal, 39, 1, 57-81, 1993
    Abstract
Back to top of page

Technical Reports

  1. Hierarchical Thermodynamic Sustainability Metrics for an Ammonia Process
    Yi, H.-S., B. R. Bakshi, contains details of study in "Hierarchical Thermodynamic Metrics for Evaluating the Environmental Sustainability of Industrial Processes", Environmental Progress, 23, 4, 302-314, 2004

  2. A Multiresolution ART Network for Anomaly Detection in Multivariate Non-Linearly Correlated Signals
  3. Aradhye, H. B., B. R. Bakshi, J. F. Davis,and S. C. Ahalt
     
  4. Multiscale and Bayesian Methods for Efficient Process Operation
  5. Bakshi, B. R., keynote lecture at PSE Asia, Kyoto, Japan, December 2000
     
  6. Bayesian Error-in-Variables Rectification of Data from Linear Dynamic Systems
  7. Ungarala, S., and B. R. Bakshi

Back to top of page