Year |
Citation |
Score |
2020 |
Pai KN, Prasad V, Rajendran A. Experimentally validated machine learning frameworks for accelerated prediction of cyclic steady state and optimization of pressure swing adsorption processes Separation and Purification Technology. 241: 116651. DOI: 10.1016/J.Seppur.2020.116651 |
0.385 |
|
2020 |
Ganesh A, Li Z, Chalaturnyk RJ, Prasad V. Graph-based determination of structural controllability and observability for pressure and temperature dynamics during steam-assisted gravity drainage operation Journal of Process Control. 86: 65-80. DOI: 10.1016/J.Jprocont.2019.12.009 |
0.305 |
|
2020 |
Ganesh A, Zhang B, Chalaturnyk RJ, Prasad V. Uncertainty quantification of the factor of safety in a steam-assisted gravity drainage process through polynomial chaos expansion Computers & Chemical Engineering. 133: 106663. DOI: 10.1016/J.Compchemeng.2019.106663 |
0.367 |
|
2019 |
Patel RG, Prasad V. Real-Time Production Optimization of Steam-Assisted-Gravity-Drainage Reservoirs Using Adaptive and Gain-Scheduled Model-Predictive Control: An Application to a Field Model Spe Production & Operations. 34: 72-89. DOI: 10.2118/185688-Pa |
0.385 |
|
2019 |
Subraveti SG, Li Z, Prasad V, Rajendran A. Machine Learning-Based Multiobjective Optimization of Pressure Swing Adsorption Industrial & Engineering Chemistry Research. 58: 20412-20422. DOI: 10.1021/Acs.Iecr.9B04173 |
0.31 |
|
2019 |
Li R, Jan NM, Huang B, Prasad V. Constrained ensemble Kalman filter based on Kullback–Leibler divergence Journal of Process Control. 81: 150-161. DOI: 10.1016/J.Jprocont.2019.05.011 |
0.317 |
|
2019 |
Li R, Jan NM, Huang B, Prasad V. Constrained multimodal ensemble Kalman filter based on Kullback–Leibler (KL) divergence Journal of Process Control. 79: 16-28. DOI: 10.1016/J.Jprocont.2019.03.012 |
0.304 |
|
2019 |
Ganesh A, Lyu K, Chalaturnyk RJ, Gudi R, Prasad V. Graph-based structural controllability and observability of steam assisted gravity drainage pressure chamber: A data driven approach Ifac-Papersonline. 52: 766-771. DOI: 10.1016/J.Ifacol.2019.06.154 |
0.339 |
|
2019 |
Ganesh A, Xiong J, Chalaturnyk RJ, Prasad V. Proxy models for caprock pressure and temperature dynamics during steam-assisted gravity drainage process Computers & Chemical Engineering. 121: 594-607. DOI: 10.1016/J.Compchemeng.2018.10.023 |
0.384 |
|
2018 |
Popli K, Afacan A, Liu Q, Prasad V. Real-time monitoring of entrainment using fundamental models and froth images Minerals Engineering. 124: 44-62. DOI: 10.1016/J.Mineng.2018.05.004 |
0.342 |
|
2018 |
Popli K, Afacan A, Liu Q, Prasad V. Development of online soft sensors and dynamic fundamental model-based process monitoring for complex sulfide ore flotation Minerals Engineering. 124: 10-27. DOI: 10.1016/J.Mineng.2018.04.006 |
0.33 |
|
2018 |
Vembadi SS, Patel RG, Prasad V. Real‐time feedback control of SAGD wells using model predictive control to optimize steam chamber development under uncertainty Canadian Journal of Chemical Engineering. 96: 1290-1305. DOI: 10.1002/Cjce.23096 |
0.389 |
|
2018 |
Raghu A, Yang X, Khare S, Prakash J, Huang B, Prasad V. Reservoir history matching using constrained ensemble Kalman filtering Canadian Journal of Chemical Engineering. 96: 145-159. DOI: 10.1002/Cjce.22965 |
0.308 |
|
2017 |
Tefera DT, Agrawal A, Jaramillo LMY, Klerk Ad, Prasad V. Self-Modeling Multivariate Curve Resolution Model for Online Monitoring of Bitumen Conversion Using Infrared Spectroscopy Industrial & Engineering Chemistry Research. 56: 10756-10769. DOI: 10.1021/Acs.Iecr.7B01849 |
0.322 |
|
2017 |
Tefera DT, Jaramillo LMY, Ranjan R, Li C, Klerk Ad, Prasad V. A Bayesian Learning Approach to Modeling Pseudoreaction Networks for Complex Reacting Systems: Application to the Mild Visbreaking of Bitumen Industrial & Engineering Chemistry Research. 56: 1961-1970. DOI: 10.1021/Acs.Iecr.6B04437 |
0.317 |
|
2016 |
Senthamaraikkannan G, Budwill K, Gates I, Mitra S, Prasad V. Kinetic Modeling of the Biogenic Production of Coalbed Methane Energy and Fuels. 30: 871-883. DOI: 10.1021/Acs.Energyfuels.5B02450 |
0.351 |
|
2016 |
Senthamaraikkannan G, Gates I, Prasad V. Development of a multiscale microbial kinetics coupled gas transport model for the simulation of biogenic coalbed methane production Fuel. 167: 188-198. DOI: 10.1016/J.Fuel.2015.11.038 |
0.306 |
|
2016 |
Senthamaraikkannan G, Gates I, Prasad V. Multiphase reactive-transport simulations for estimation and robust optimization of the field scale production of microbially enhanced coalbed methane Chemical Engineering Science. 149: 63-77. DOI: 10.1016/J.Ces.2016.04.017 |
0.361 |
|
2016 |
Senthamaraikkannan G, Gates I, Prasad V. Modeling, estimation and optimization in coreflooding experiments for coalbed methane production Chemical Engineering Science. 141: 75-85. DOI: 10.1016/J.Ces.2015.10.024 |
0.406 |
|
2015 |
Kasiri S, Ulrich A, Prasad V. Optimization of CO₂ fixation by Chlorella kessleri cultivated in a closed raceway photo-bioreactor. Bioresource Technology. 194: 144-55. PMID 26188557 DOI: 10.1016/J.Biortech.2015.07.017 |
0.321 |
|
2015 |
Popli K, Sekhavat M, Afacan A, Dubljevic S, Liu Q, Prasad V. Dynamic modeling and real-time monitoring of froth flotation Minerals. 5: 570-591. DOI: 10.3390/Min5030510 |
0.34 |
|
2015 |
Yao S, Trivedi JJ, Prasad V. Proxy modeling of the production profiles of SAGD reservoirs based on system identification Industrial and Engineering Chemistry Research. 54: 8356-8367. DOI: 10.1021/Ie502258Z |
0.4 |
|
2015 |
Popli K, Prasad V. Robust design of experiments using constrained stochastic optimization Ifac-Papersonline. 48: 106-111. DOI: 10.1016/J.Ifacol.2015.08.165 |
0.335 |
|
2015 |
Senthamaraikkannan G, Prasad V, Gates I. Stochastic proxy modelling for coalbed methane production using orthogonal polynomials Ifac Proceedings Volumes (Ifac-Papersonline). 48: 88-93. DOI: 10.1016/J.Ifacol.2015.08.162 |
0.398 |
|
2015 |
Kasiri S, Ulrich A, Prasad V. Kinetic modeling and optimization of carbon dioxide fixation using microalgae cultivated in oil-sands process water Chemical Engineering Science. 137: 697-711. DOI: 10.1016/J.Ces.2015.07.004 |
0.322 |
|
2014 |
Yang X, Huang B, Prasad V. Inequality constrained parameter estimation using filtering approaches Chemical Engineering Science. 106: 211-221. DOI: 10.1016/J.Ces.2013.11.038 |
0.32 |
|
2013 |
Arasu SK, Prakash J, Prasad V. Derivative-free Estimator Based Non-Linear Model Predictive Control of a Boiler-Turbine Unit Ifac Proceedings Volumes. 46: 660-665. DOI: 10.3182/20131218-3-In-2045.00090 |
0.395 |
|
2011 |
Shenoy AV, Prakash J, McAuley KB, Prasad V, Shah SL. Practical issues in the application of the particle filter for estimation of chemical processes Ifac Proceedings Volumes (Ifac-Papersonline). 18: 2773-2778. DOI: 10.3182/20110828-6-It-1002.03272 |
0.302 |
|
2011 |
Subramanian K, Kumar S, Patwardhan SC, Prasad V. Extensions to experiment design and identification algorithms for large-scale and stochastic processes International Journal of Advanced Mechatronic Systems. 3: 3. DOI: 10.1504/Ijamechs.2011.040158 |
0.37 |
|
2011 |
Lee CJ, Prasad V, Lee JM. Stochastic Nonlinear Optimization for Robust Design of Catalysts Industrial & Engineering Chemistry Research. 50: 3938-3946. DOI: 10.1021/Ie102103W |
0.309 |
|
2011 |
Ulissi Z, Prasad V, Vlachos DG. Effect of multiscale model uncertainty on identification of optimal catalyst properties Journal of Catalysis. 281: 339-344. DOI: 10.1016/J.Jcat.2011.05.019 |
0.338 |
|
2010 |
Shenoy AV, Prasad V, Shah SL. Comparison of unconstrained nonlinear state estimation techniques on a MMA polymer reactor Ifac Proceedings Volumes (Ifac-Papersonline). 9: 159-164. DOI: 10.3182/20100705-3-Be-2011.00026 |
0.329 |
|
2010 |
Methekar RN, Patwardhan SC, Gudi RD, Prasad V. Adaptive peak seeking control of a proton exchange membrane fuel cell Journal of Process Control. 20: 73-82. DOI: 10.1016/J.Jprocont.2009.10.001 |
0.353 |
|
2010 |
Methekar R, Patwardhan S, Rengaswamy R, Gudi R, Prasad V. Control of proton exchange membrane fuel cells using data driven state space models Chemical Engineering Research and Design. 88: 861-874. DOI: 10.1016/J.Cherd.2009.12.001 |
0.407 |
|
2010 |
Prasad V, Karim AM, Ulissi Z, Zagrobelny M, Vlachos DG. High throughput multiscale modeling for design of experiments, catalysts, and reactors: Application to hydrogen production from ammonia Chemical Engineering Science. 65: 240-246. DOI: 10.1016/J.Ces.2009.05.054 |
0.328 |
|
2009 |
Prasad V, Karim AM, Arya A, Vlachos DG. Assessment of Overall Rate Expressions and Multiscale, Microkinetic Model Uniqueness via Experimental Data Injection: Ammonia Decomposition on Ru/γ-Al2O3for Hydrogen Production Industrial & Engineering Chemistry Research. 48: 5255-5265. DOI: 10.1021/Ie900144X |
0.381 |
|
2008 |
Prasad V, Vlachos DG. Multiscale Model and Informatics-Based Optimal Design of Experiments : Application to the Catalytic Decomposition of Ammonia on Ruthenium Industrial & Engineering Chemistry Research. 47: 6555-6567. DOI: 10.1021/Ie800343S |
0.395 |
|
2007 |
Bedi PS, Methekar RN, Patwardhan SC, Prasad V, Gudi RD. Nonlinear internal model control of PEM fuel cell Ifac Proceedings Volumes. 40: 101-106. DOI: 10.3182/20070606-3-Mx-2915.00135 |
0.346 |
|
2007 |
Methekar RN, Prasad V, Gudi RD. Dynamic analysis and linear control strategies for proton exchange membrane fuel cell using a distributed parameter model Journal of Power Sources. 165: 152-170. DOI: 10.1016/J.Jpowsour.2006.11.047 |
0.353 |
|
2003 |
Prasad V, Bequette BW. Nonlinear system identification and model reduction using artificial neural networks Computers and Chemical Engineering. 27: 1741-1754. DOI: 10.1016/S0098-1354(03)00137-6 |
0.596 |
|
2002 |
Prasad V, Schley M, Russo LP, Wayne Bequette B. Product property and production rate control of styrene polymerization Journal of Process Control. 12: 353-372. DOI: 10.1016/S0959-1524(01)00044-0 |
0.38 |
|
2002 |
Prasad V, Bloomfield MO, Richards DF, Liang H, Cale TS. Modeling and simulation of plasma enhanced processing for integrated circuit fabrication Vacuum. 65: 443-455. DOI: 10.1016/S0042-207X(01)00455-9 |
0.31 |
|
2002 |
Gobbert MK, Prasad V, Cale TS. Predictive modeling of atomic layer deposition on the feature scale Thin Solid Films. 410: 129-141. DOI: 10.1016/S0040-6090(02)00236-5 |
0.31 |
|
2002 |
Nagrath D, Prasad V, Bequette BW. A model predictive formulation for control of open-loop unstable cascade Chemical Engineering Science. 57: 365-378. DOI: 10.1016/S0009-2509(01)00398-0 |
0.709 |
|
2001 |
Aufderheide B, Prasad V, Bequette BW. A comparison of fundamental model-based and multiple model predictive control Proceedings of the Ieee Conference On Decision and Control. 5: 4863-4868. |
0.674 |
|
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