List of Journal Publications


  1. A. Airan, M. Bhushan, and S. Bhartiya, Linear Machine Solution to Point Location Problem, IEEE Transactions on Automatic Control, accepted manuscript, DOI 10.1109/TAC.2016.2573201.

  2. K. K. Kottakki, M. Bhushan, and S. Bhartiya, Constrained Unscented Gaussian Sum Filter for State Estimation of Nonlinear Dynamical Systems, Computers and Chemical Engineering, 91, 352-364, 2016.

  3. A. Baraskar, M. Bhushan, C. Venkataraman, and R. Cherian, An Offline Constrained Data Assimilation Technique for Aerosols: Improving GCM Simulations over South Asia using Observations from Two Satellite Sensors, Atmospheric Environment, 132, 36-48, 2016.

  4. T. Sengupta, M. Bhushan, and P. P. Wangikar, A Computational Approach Using Ratio Statistics for Identifying Housekeeping Genes from CDNA Microarray Data, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 12(6), 1457-1463, 2015.

  5. R. A. Razak, M. Bhushan, M. N. Belur, A. P. Tiwari, M. G. Kelkar, and M. Pramanik, Clustering of Self Powered Neutron Detectors: Combining Prompt and Slow Dynamics, IEEE Transactions on Nuclear Science, 61(6), 3635-3643, 2014.

  6. K. K. Kottakki, S. Bhartiya, and M. Bhushan, State Estimation of Nonlinear Dynamical Systems Using Nonlinear Update Based Unscented Gaussian Sum Filter, Journal of Process Control, 24(9), 1425-1443, 2014.

  7. T. Sengupta, M. Bhushan, and P. P. Wangikar, Metabolic Modeling for Multi-Objective Optimization of Ethanol Production in a Synechocystis Mutant, Photosynthesis Research, 118(1-2), 155-165, 2013.

  8. S. Kolluri and M. Bhushan, Audit of Sensor Networks for Efficient Fault Diagnosis, Journal of Process Control, 23(6), 881-893, 2013.

  9. S. C. Kadu, M. Bhushan, and K. Roy, Optimization-Based Sigma Points Selection for Constrained State Estimation, Ind. Eng. Chem. Res., 52(5), 1916-1926, 2013.

  10. R. K. Srivastava, S. K. Maiti, D. Das, P. M. Bapat, K. Batta, M. Bhushan, and P. P. Wangikar, Metabolic Flexibility of D-Ribose Producer Strain of Bacillus Pumilus Under Environmental Perturbations, Journal of Industrial Microbiology and Biotechnology, 39(8), 1227-1243, 2012.

  11. R. A. Razak, M. Bhushan, M. N. Belur, A. P. Tiwari, M. G. Kelkar, and M. Pramanik, Data Reconciliation and Gross Error Analysis of Self Powered Neutron Detectors: Comparison of PCA and IPCA Based Models, invited article, International Journal of Advances in Engineering Sciences and Applied Mathematics, 4(1-2), 91-115, 2012.

  12. S. K. Maiti, A. E. Lantz, M. Bhushan, and P. P. Wangikar, Multi-Objective Optimization of Glycopeptide Antibiotic Production in Batch and Fed Batch Processes, Bioresource Technology, 102 (13), 6951-6958, 2011.

  13. C. Sumana, M. Bhushan, C. Venkateswarlu, and R. D. Gudi, Improved Nonlinear Process Monitoring Using KPCA with Sample Vector Selection and Combined Index, Asia-Pacific Journal of Chemical Engineering, 6(3), 460-469, 2011.

  14. S. C. Kadu, M. Bhushan, R. D. Gudi, and K. Roy, Modified Unscented Recursive Nonlinear Dynamic Data Reconciliation for Constrained State Estimation, Journal of Process Control, 20, 525-537, 2010.

  15. P. R. Kotecha, M. Bhushan, and R. D. Gudi, Efficient Optimization Strategies with Constraint Programming, AIChE J., 56(2), 387-404, 2010.

  16. C. Sumana, R. D. Gudi, M. Bhushan, and C. Venkateswarlu, Improved Fault Diagnosis Using Dynamic Kernel Scatter-Difference-Based Discriminant Analysis, Ind. Eng. Chem. Res., 49, 8575-8586, 2010.

  17. S. K. Maiti, K. P. Singh, A. E. Lantz, M. Bhushan, and P. P. Wangikar, Substrate Uptake, Phosphorus Repression, and Effect of Seed Culture on Glycopeptide Antibiotic Production: Process Model Development and Experimental Validation, Biotechnology and Bioengineering, 105(1), 109-120, 2010.

  18. S. K. Maiti, R. K. Srivastava, M. Bhushan, and P. P. Wangikar, Real Time Phase Detection Based Online Monitoring of Batch Fermentation Processes, Process Biochemistry, 44 (8), 799-811, 2009.

  19. B. Mehta, C. Venkataraman, M. Bhushan, and S. N. Tripathi, Identification of Sources Affecting Fog Formation Using Receptor Modeling Approaches and Inventory Estimates of Sectoral Emissions, Atmospheric Environment, 43, 1288-1295, 2009.

  20. M. Bhushan, S. Narasimhan, and R. Rengaswamy, Robust Sensor Network Design for Fault Diagnosis, invited article, Computers and Chemical Engineering, 32 (4-5), 1067-1084, 2008.

  21. S. C. Kadu, M. Bhushan, and R. D. Gudi, Optimal Sensor Network Design for Multirate Systems, Journal of Process Control, 18(6), 594-609, 2008.

  22. P. R. Kotecha, M. Bhushan, R. D. Gudi, and M. K. Keshari, A Duality Based Framework for Integrating Reliability and Precision for Sensor Network Design, Journal of Process Control, 18(2), 189-201, 2008.

  23. S. G. Bhanuprasad, C. Venkataraman, and M. Bhushan, Positive Matrix Factorization and Trajectory Modeling for Source Identification: A New Look at Indian Ocean Experiment Ship Observations, Atmospheric Environment, 42(20), 4836-4852, 2008.

  24. P. R. Kotecha, M. Bhushan, and R. D. Gudi, Design of Robust, Reliable Sensor Networks Using Constraint Programming, invited article, Computers and Chemical Engineering, 32(9), 2030-2049, 2008.

  25. P. R. Kotecha, M. Bhushan, and R. D. Gudi, Constraint Programming Based Robust Sensor Network Design, Ind. Eng. Chem. Res., 46 (18), 5985-5999, 2007.

  26. C. Zhao, M. Bhushan, and V. Venkatasubramanian, PHASuite: An Automated HAZOP Analysis Tool for Chemical Processes. Part I: Knowledge Engineering Framework, Process Safety and Environmental Protection, 83(B6), 509-532, 2005.

  27. C. Zhao, M. Bhushan, and V. Venkatasubramanian, PHASuite: An Automated HAZOP Analysis Tool for Chemical Processes. Part II: Implementation and Case Study, Process Safety and Environmental Protection, 83(B6), 533-548, 2005.

  28. S. A. Munawar, M. Bhushan, R. D. Gudi, and A. M. Belliappa, Cyclic Scheduling of Continuous Multiproduct Plants in a Hybrid Flowshop Facility, Ind. Eng. Chem. Res., 42(23), 5861-5882, 2003.

  29. M. Bhushan and R. Rengaswamy, Comprehensive Design of Sensor Network for Chemical Plants Based on Various Diagnosability and Reliability Criteria. 1. Framework, Ind. Eng. Chem. Res., 41(7), 1826-1839, 2002.

  30. M. Bhushan and R. Rengaswamy, Comprehensive Design of Sensor Network for Chemical Plants Based on Various Diagnosability and Reliability Criteria. 2. Applications, Ind. Eng. Chem. Res., 41(7), 1840-1860, 2002.

  31. M. Bhushan and R. Rengaswamy, Design of Sensor Location Based on Signed Directed Graph of the Process for Efficient Fault Diagnosis, Ind. Eng. Chem. Res., 39(4), 999-1019, 2000.

  32. M. Bhushan and R. Rengaswamy, Design of Sensor Location Based on Fault Diagnostic Observability and Reliability Criteria, Computers and Chemical Engineering, 24(2-7), 735-741, 2000.

  33. R. Rao, M. Bhushan, and R. Rengaswamy, Location of Sensors in Complex Chemical Plants based on Fault Diagnostic Observability Criteria, AIChE J., 45(2), 310-322, 1999.


Book Chapters

  1. P. R. Kotecha, M. Bhushan, and R. D. Gudi, Constraint Programming and Genetic Algorithms, chapter to be published in Stochastic Global Optimization: Techniques and Applications in Chemical Engineering, Editor: G. P. Rangaiah, World Scientific, 2008.


List of Publications in Conference Proceedings


  1. A. Bhattacharyya, V. Yogi, S. Singla, M. Bhushan, M. G. Kelkar, A. P. Tiwari, M. Pramanik, and M. N. Belur, Adaptive, online models to detect and estimate gross errors in SPNDs, accepted in Indian Control Conference, IIT Guwahati, Jan 2017.

  2. K. K. Kottakki, M. Bhushan, and S. Bhartiya, Projection Based Constrained Nonlinear State Estimation Using Gaussian Sum Filters, in Proceedings of the Indian Control Conference, IIT Hyderabad, India, 444-449, 2016.

  3. K. K. Kottakki, M. Bhushan, and S. Bhartiya, Optimization Based Constrained Gaussian Sum Unscented Kalman Filter, 4th IFAC Conference on Advances in Control and Optimization of Dynamical Systems ACODS 2016- Tiruchirappalli, India, IFAC-PapersOnLine, 49(1), 59-64, 2016.

  4. K. K. Kottakki, M. Bhushan, and S. Bhartiya, Monte Carlo Gaussian Sum Filter for State Estimation of Nonlinear Dynamical Systems, 4th IFAC Conference on Advances in Control and Optimization of Dynamical Systems ACODS 2016- Tiruchirappalli, India, IFAC-PapersOnLine, 49(1), 65-70, 2016.

  5. K. K. Kottakki, M. Bhushan, and S. Bhartiya, Projection Based Constrained Nonlinear State Estimation using Gaussian Sum Filters, 2016 Indian Control Conference (ICC), IIT Hyderabad, IEEE Conference Publications, 444-449, 2016.

  6. A. Bansal, M. Bhushan, and L. T. Biegler, Covariance Computation in MHE: A Nonlinear Regression Approach, in Proceedings of 12th IEEE International Conference on Control and Automation (ICCA), Kathmandu, 663-668, 2016.

  7. Y. Baranwal, P. Ballal, and M. Bhushan, Modified Minimum Variance Approach for State and Unknown Input Estimation, 12th International Symposium on Process Systems Engineering (PSE) and 25th European Symposium on Computer Aided Process Engineering (ESCAPE), Denmark, Computer Aided Chemical Engineering, 37, 1553-1558, 2015.

  8. K. K. Kottakki, S. Bhartiya, and M. Bhushan, Optimization Based Constrained Unscented Gaussian Sum Filter, 12th International Symposium on Process Systems Engineering (PSE) and 25th European Symposium on Computer Aided Process Engineering (ESCAPE), Denmark, Computer Aided Chemical Engineering, 37, 1715-1720, 2015.

  9. C. Ganesh, P. Ballal, M. Bhushan, and S. C. Patwardhan, Leak Identification Using Extended Kitanidis-Kalman Filter, 12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering, Denmark, Computer Aided Chemical Engineering, 37, 1817-1822, 2015.

  10. N. Pawar, M. N. Belur, M. Bhushan, A. P. Tiwari, M. G. Kelkar, M. Pramanik, and V. Singh, A Data-Driven Adaptive Model-Identification Based Large-Scale Sensor Management System: Application to Self Powered Neutron Detectors, IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), Austria, 1-7, June 2014.

  11. K. K. Kottakki, S. Bhartiya, and M. Bhushan, Interval Constrained Unscented Gaussian Filter for State Estimation of Nonlinear Dynamical Systems, 5th Australian Control Conference, 297-302, Nov 2014.

  12. K. K. Kottakki, M. Bhushan, and S. Bhartiya, An Improved Gaussian Sum Unscented Kalman Filter, 3rd International Conference on Advances in Control and Optimization of Dynamical Systems, ACODS 2014, Kanpur, IFAC Proceedings Volume (IFAC PapersOnline), 2014.

  13. S. Kolluri, I. Bajaj, and M. Bhushan, Sensor Network Design for Efficient Fault Diagnosis and Signed Digraph Update, 10th IFAC International Symposium on Dynamics and Control of Process Systems (DYCOPS), Mumbai, IFAC Proceedings Volumes (IFAC PapersOnline), 10 (Part 1), 172-177, 2013.

  14. T. Sengupta, S. Jain, and M. Bhushan, A Compressed Sensing Based Basis-Pursuit Formulation of the Room Algorithm, 12th IFAC International Symposium on Computer Applications in Biotechnology (CAB), Mumbai, IFAC Proceedings Volumes (IFAC PapersOnline), 12 (Part 1), 238-243, 2013.

  15. M. Mittal, M. Bhushan, S. Patil, and S. Chaudhari, Optimal Feature Selection for SVM Based Fault Diagnosis in Power Transformers, 10th IFAC International Symposium on Dynamics and Control of Process Systems (DYCOPS), Mumbai, IFAC Proceedings Volumes (IFAC PapersOnline), 10 (Part 1), 809-814, 2013.

  16. A. Airan, S. Bhartiya, and M. Bhushan, Linear Machine: A Novel Approach to Point Location Problem, 10th IFAC International Symposium on Dynamics and Control of Process Systems (DYCOPS), Mumbai, IFAC Proceedings Volumes (IFAC PapersOnline), 10 (Part 1), 445-450, 2013.

  17. K. Srinivasarengan, L. Mutyam, M. N. Belur, M. Bhushan, A. P. Tiwari, M. G. Kelkar, and M. Pramanik, Flux Estimation from Vanadium and Cobalt Self Powered Neutron Detectors (SPNDs): Nonlinear Exact Inversion and Kalman Filter Approaches, Proceedings of the American Control Conference (ACC), Montreal, 318-323, 2012.

  18. S. C. Kadu, M. Bhushan, and K. Roy, Continuous Discrete Unscented Kalman Filtering for Nonlinear Differential Algebraic Equations Systems, 11th International Symposium on Process Systems Engineering (PSE), Singapore, Computer Aided Chemical Engineering, 31, 940-944, 2012.

  19. S. Kolluri and M. Bhushan, Reallocation Index Based Sensor Network Design for Efficient Fault Diagnosis, 11th International Symposium on Process Systems Engineering (PSE), Singapore, Computer Aided Chemical Engineering, 31, 1527-1531, 2012.

  20. P. R. Kotecha, M. Bhushan, R. D. Gudi, S. Narasimhan, and R. Rengaswamy, Constraint Programming Based Input Signal Design for System Identification, 11th International Symposium on Process Systems Engineering (PSE), Singapore, Computer Aided Chemical Engineering, 31, 965-969, 2012.

  21. S. Kolluri and M. Bhushan, Robust Reallocation and Upgrade of Sensor Networks for Fault Diagnosis, 21st European Symposium on Computer Aided Process Engineering (ESCAPE), Greece, Computer Aided Chemical Engineering, 29, 768-772, 2011.

  22. M. Bhushan, Sensor Network Design for Efficient Fault Diagnosis, keynote paper presented at Process Systems Engineering (PSE) Asia 2010, July 25-28, Singapore, 2010.

  23. V. N. S. R. K. Raghuinguva, M. Bhushan, and M. Desu, Efficient Fault Diagnosis of Batch Processes using Dynamic Time Warping of Qualitative Trends, Process Systems Engineering (PSE) Asia 2010, July 25-28, Singapore, 2010.

  24. C. Sumana, C. Venkateswarlu, R. D. Gudi, and M. Bhushan, Improved Methodology for Nonlinear Process Monitoring based on Kernel PCA, Process Systems Engineering (PSE) Asia 2010, July 25-28, Singapore, 2010.

  25. P. Kotecha, M. Bhushan, and R. D. Gudi, Multi-objective Optimization based Robust Sensor Network Design, 9th IFAC International Symposium on Dynamics and Control of Process Systems (DYCOPS), Belgium, IFAC Proceedings Volumes (IFAC PapersOnline), 9 (Part 1), 79-84, 2010.

  26. C. Sumana, C. Venkateswarlu, R. D. Gudi, and M. Bhushan, Dynamic Kernel Scatter-Difference-Based Discriminant Analysis for Diagnosis of Tennessee Eastman Process, Proceedings of the American Control Conference (ACC), Baltimore, 3417-3422, 2009.

  27. S. C. Kadu, M. Bhushan, R. D. Gudi, and K. Roy, Modified Unscented Recursive Nonlinear Dynamic Data Reconciliation for Constrained State Estimation, 10th International Symposium on Process Systems Engineering (PSE), Brazil, Computer Aided Chemical Engineering, 27, 1335-1340, 2009.

  28. P. R. Kotecha, M. D. Kapali, M. Bhushan, and R. D. Gudi, Multi-Objective Optimization Issues in Short-Term Batch Scheduling, in Proceedings of 17th IFAC World Congress, Seoul, Korea, 2008.

  29. P. R. Kotecha, M. Bhushan, and R. D. Gudi, Unified Approach for the Design of Robust, Reliable and Precision Sensor Networks, Foundations of Computer-Aided Process Operations (FOCAPO), Cambridge, Massachusetts, USA, 2008.

  30. S. C. Kadu, M. Bhushan, and R. D. Gudi, Optimal Sensor Network Design for Multirate Systems, 8th International Symposium on Dynamics and Control of Process Systems (DYCOPS), Cancun, Mexico, June 2007.

  31. P. R. Kotecha, M. Bhushan, and R. D. Gudi, Constraint Programming Based Multi-Objective Sensor Network Design for Fault Diagnosis, Computer Aided Chemical Engineering, in 17th European Symposium on Computer Aided Process Engineering, V. Plesu, P. S. Agachi, Editors, Volume 24, Elsevier, pp. 745-750, Romania, 2007.

  32. M. Bhushan, and R. Rengaswamy, Lexicographic Optimization Based Sensor Network Design for Robust Fault Diagnosis, 7th International Symposium on Dynamics and Control of Process Systems (DYCOPS), Cambridge, Massachusetts, USA, July 2004.

  33. M. Bhushan, S. Narasimhan, and R. Rengaswamy, Sensor Network Reallocation and Upgrade for Efficient Fault Diagnosis, Fourth International Conference on Foundations of Computer Aided Process Operations (FOCAPO), Florida, pp. 443-446, Jan. 2003.

  34. S. Munawar, M. Bhushan, R. Gudi, and A. Belliappa, A Multi-Level, Control-Theoretic Approach to Reactive Scheduling in Continuous Plants, Fourth International Conference on Foundations of Computer Aided Process Operations (FOCAPO), Florida, pp. 397-400, Jan. 2003.

  35. C. Zhao, M. Bhushan, and V. Venkatasubramanian, A Multi-Agent Architecture for Automated Process Safety Analysis, Proceedings, 8th International Symposium on Process Systems Engineering, China, 2003.

  36. C. Zhao, M. Bhushan, and V. Venkatasubramanian, Roles of Ontology in Automated Process Safety Analysis, Proceedings, ESCAPE 13, Lappeenranta, Finland, June 2003.

  37. M. Bhushan, and R. Rengaswamy, A Framework for Sensor Network Design for Efficient and Reliable Fault Diagnosis, keynote paper at the 4th IFAC workshop on On-line Fault Detection and Supervision in the Chemical Process Industries, Korea, pp. 33-44, June 2001.




List of Other Presentations/Posters Presented in Conferences/Meetings


  1. P. Dave, M. Bhushan, and C. Venkataraman, Path Analysis Based Validation of Aerosol-Precipitation Micro-Scale Interaction Using Observational Evidences, poster presented at European Geosciences Union (EGU) General Assembly, Vienna, April 2016.

  2. S. Kolluri and M. Bhushan, Sensor Network Design for Reliable Fault Diagnosis and Signed Digraph Update, AIChE Annual Meeting, Atlanta, Nov 2014.

  3. P. Dave, S. Jain, M. Bhushan, C. Venkataraman, J-F. Leon, B. Guinot, and S. Kedia, Accurate and Robust Estimation of Aerosol Mass Concentration Based on LIDAR Signal and Other Sensor Packages: A Regression Based Approach, Conference of Indian Aerosol Science and Technology Association (IASTA)-2014, IIT BHU, Varanasi, Nov 2014.

  4. P. Dave, M. Bhushan, and C. Venkataraman, Path Analysis Based Validation of Mechanisms of Aerosol-Precipitation Interaction, National Research Conference on Climate Change, IIT Madras, Chennai, Oct 2013.

  5. S. Das, M. Bhushan, C. Venkataraman, R. Cherian, J. Quaas, G. Carmichael, and S. Kulkarni, An Aerosol Data Assimilation Technique Using GCM Predictions and Satellite Observations of Seasonal AOD Over South Asia, American Geophysical Union (AGU) Fall Meeting, San Francisco, Dec 2012.

  6. M. Bhushan, S. Narasimhan, and R. Rengaswamy, Reliability Based Sensor Network Design for Fault Diagnosis, AIChE Annual Meeting, Salt Lake City, Utah, Nov 2010.

  7. P. R. Kotecha, M. Bhushan, and R. D. Gudi, Comparison of Mathematical Programming and Constraint Programming for the Design of Sensor Networks, ICEATS, Rajkot, Gujarat, India, 2008.

  8. P. R. Kotecha, M. Bhushan, and R. D. Gudi, A Unified Framework for the Design of Reliable and Precision Sensor Networks, ICEATS, Rajkot, Gujarat, India, 2008.

  9. P. R. Kotecha, M. Bhushan, and R. D. Gudi, Applications of Constraint Programming in Process Systems Engineering, ICEATS, Rajkot, Gujarat, India, 2008.

  10. P. R. Kotecha, M. Bhushan, and R. D. Gudi, On the Duality Between Reliability and Precision for Sensor Network Design, presentation, Computation, Mathematical and Statistical Methods (CMASM) – Forum for Interdisciplinary Mathematics (FIM) XIV, Chennai, India, Jan 2007.

  11. C. Venkataraman, S. G. Bhanuprasad, M. Bhushan, S. Kulkarni, and G. Carmichael, Source Identification Using Matrix Factorization and Trajectory based Receptor Models Combined with Chemical Transport Approaches: A New Look at the INDOEX Ship-Observations, Asia Oceania Geosciences Society (AOGS) 2007 Meeting, Bangkok, July 2007.

  12. P. R. Kotecha, M. Bhushan, and R. D. Gudi, Efficient Generation of Globally Optimal Pareto-Fronts Using Constraint Programming, AIChE Annual Meeting, Salt Lake City, Utah, USA, Nov. 2007.

  13. P. R. Kotecha, M. Bhushan, and R. D. Gudi, On the Determination of Multiple Solutions for Batch Scheduling Using Constraint Programming, AIChE Annual Meeting, Salt Lake City, Utah, USA, Nov. 2007.

  14. Bhavin Mehta, C. Venkataraman, M. Bhushan, and S. N. Tripathi, Matrix Factorization Modeling for Air Pollution Source Identification: Application to ISRO-GBP LC-II Field Data from Kanpur, Conference of the Indian Aerosol Science and Technology 2007, National Physical Laboratory, New Delhi, Nov. 2007.

  15. M. Bhushan, Genetic Algorithm Based Multiobjective Sensor Network Design Based on Equation-Variable Matching, presentation, CSChe Annual Meeting, Calgary, Canada, October 2004.

  16. M. Bhushan, and R. Rengaswamy, An Optimization Based Approach for Designing Sensor Network for Reliable and Robust Fault Diagnosis, presentation, CSChe Annual Meeting, Hamilton, Canada, October, 2003.

  17. C. Zhao, M. Bhushan, and V. Venkatasubramanian, A Collaborative Environment for Process Safety Analysis, presentation, AIChE annual meeting, Indianapolis, USA, Nov. 2002.

  18. C. Zhao, M. Bhushan, and V. Venkatasubramanian, Knowledge Engineering Issues in Process Safety Analysis, poster, AIChE annual meeting, Indianapolis, USA, Nov. 2002.

  19. M. Bhushan, S. Narasimhan, and R. Rengaswamy, Lexicographic Optimization Based Framework for Designing Sensor Network for Reliable and Robust Fault Diagnosis, presentation, AIChE annual meeting, Indianapolis, USA, Nov. 2002.

  20. M. Bhushan, and R. Rengaswamy, Issues in Sensor Network Design Based on Various Fault Diagnostic Criteria, presentation, CHEMCON, Chandigarh, India, Dec. 1999.