Venkat Venkatasubramanian

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Medforfattere

MANO R MAURYAUCSD, San Diego Supercomputer CenterBekræftet mail på sdsc.edu
Pradeep SureshDow Chemical CompanyBekræftet mail på dow.com
Venkata Sai Pavan Kumar AkkisettyIntelBekræftet mail på intel.com
Rafiqul GaniPSE for SPEED; KAIST; Texas A&M UniversityBekræftet mail på pseforspeed.com
Kris VillezOak Ridge National LaboratoryBekræftet mail på ornl.gov
Aditya BhanUniversity of MinnesotaBekræftet mail på umn.edu
Aviral ShuklaPurdue University, Intel, BayerBekræftet mail på bayer.com
Karl-Erik ArzenLund UniversityBekræftet mail på control.lth.se
Craig RiegerIdaho National LaboratoryBekræftet mail på inl.gov
Charlotta JohnssonProf. Automatic Control, Lund university, SwedenBekræftet mail på control.lth.se
Nilay ShahImperial CollegeBekræftet mail på imperial.ac.uk
Zhizun ZhangColumbia UniversityBekræftet mail på columbia.edu
Tore HägglundProfessor in Automatic Control, Lund UniversityBekræftet mail på control.lth.se
Oleg GangColumbia University, Brookhaven National LaboratoryBekræftet mail på columbia.edu
Thi VoUniversity of Michigan - Ann ArborBekræftet mail på umich.edu
Ioannis (Yannis) P. AndroulakisProfessor of Biomedical Engineering and Chemical & Biochemical EngineeringBekræftet mail på soe.rutgers.edu
Jochen LauterbachProfessor of Chemical Engineering, University of South CarolinaBekræftet mail på cec.sc.edu
Isaac Monroy ChoraUniversidad Anáhuac QuerétaroBekræftet mail på anahuac.mx
Moisès GraellsAssociate Professor, Chemical Engineering Department, Universitat Politècnica de CatalunyaBekræftet mail på upc.edu
Bri-Mathias HodgeAssociate Professor, CU Boulder / Chief Scientist, NRELBekræftet mail på nrel.gov

Venkat Venkatasubramanian

Samuel Ruben-Peter G. Viele Professor of Engineering, Columbia University

Bekræftet mail på columbia.edu - Startside

AI Risk Analysis Materials Discovery Analytics Self-organization and Emergence


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
A review of process fault detection and diagnosis: Part I: Quantitative model-based methods V Venkatasubramanian, R Rengaswamy, K Yin, SN Kavuri Computers & chemical engineering 27 (3), 293-311, 2003	3153	2003
A review of process fault detection and diagnosis: Part II: Qualitative Models and Search Strategies V Venkatasubramanian, R Rengaswamy, SN Kavuri Computers & Chemical Engineering 27 (3), 313-326, 2003	2460*	2003
A neural network methodology for process fault diagnosis V Venkatasubramanian, K Chan AIChE Journal 35 (12), 1993-2002, 1989	521	1989
Process fault detection and diagnosis using neural networks—I. Steady-state processes V Venkatasubramanian, R Vaidyanathan, Y Yamamoto Computers & Chemical Engineering 14 (7), 699-712, 1990	316	1990
Computer-aided molecular design using genetic algorithms V Venkatasubramanian, K Chan, JM Caruthers Computers & Chemical Engineering 18 (9), 833-844, 1994	283*	1994
Challenges in the industrial applications of fault diagnostic systems S Dash, V Venkatasubramanian Computers & chemical engineering 24 (2-7), 785-791, 2000	241	2000
Intelligent systems for HAZOP analysis of complex process plants V Venkatasubramanian, J Zhao, S Viswanathan Computers & Chemical Engineering 24 (9-10), 2291-2302, 2000	224	2000
Sulfur vulcanization of natural rubber for benzothiazole accelerated formulations: from reaction mechanisms to a rational kinetic model P Ghosh, S Katare, P Patkar, JM Caruthers, V Venkatasubramanian, ... Rubber Chemistry and technology 76 (3), 592-693, 2003	218	2003
A syntactic pattern-recognition approach for process monitoring and fault diagnosis R Rengaswamy, V Venkatasubramanian Engineering Applications of Artificial Intelligence 8 (1), 35-51, 1995	202	1995
Computer aided molecular design: theory and practice L Achenie, V Venkatasubramanian, R Gani Elsevier, 2002	185	2002
Automatic generation of qualitative descriptions of process trends for fault detection and diagnosis ME Janusz, V Venkatasubramanian Engineering Applications of Artificial Intelligence 4 (5), 329-339, 1991	184	1991
PCA-SDG based process monitoring and fault diagnosis H Vedam, V Venkatasubramanian Control engineering practice 7 (7), 903-917, 1999	174	1999
Fuzzy-logic based trend classification for fault diagnosis of chemical processes S Dash, R Rengaswamy, V Venkatasubramanian Computers & Chemical Engineering 27 (3), 347-362, 2003	173	2003
Fault diagnosis using dynamic trend analysis: A review and recent developments MR Maurya, R Rengaswamy, V Venkatasubramanian Engineering Applications of artificial intelligence 20 (2), 133-146, 2007	169	2007
A genetic algorithmic framework for process design and optimization IP Androulakis, V Venkatasubramanian Computers & chemical engineering 15 (4), 217-228, 1991	168	1991
Model-based reasoning in diagnostic expert systems for chemical process plants SH Rich, V Venkatasubramanian Computers & Chemical Engineering 11 (2), 111-122, 1987	168	1987
Application of signed digraphs-based analysis for fault diagnosis of chemical process flowsheets MR Maurya, R Rengaswamy, V Venkatasubramanian Engineering Applications of Artificial Intelligence 17 (5), 501-518, 2004	166	2004
A hybrid genetic algorithm for efficient parameter estimation of large kinetic models S Katare, A Bhan, JM Caruthers, WN Delgass, V Venkatasubramanian Computers & chemical engineering 28 (12), 2569-2581, 2004	156	2004
Evolutionary design of molecules with desired properties using the genetic algorithm V Venkatasubramanian, K Chan, JM Caruthers Journal of Chemical Information and Computer Sciences 35 (2), 188-195, 1995	151	1995
A systematic framework for the development and analysis of signed digraphs for chemical processes. 1. Algorithms and analysis MR Maurya, R Rengaswamy, V Venkatasubramanian Industrial & engineering chemistry research 42 (20), 4789-4810, 2003	150	2003

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