HARIPRASAD KODAMANA

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	Wszystkie	Od 2020
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h-indeks	24	23
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Biao HuangUniversity of Alberta, CanadaZweryfikowany adres z ualberta.ca
N. M. Anoop KrishnanAssociate Professor, Indian Institute of Technology DelhiZweryfikowany adres z iitd.ac.in
Ravinder BhattooAssistant Professor, Indian Institute of Technology IndoreZweryfikowany adres z iiti.ac.in
Manojkumar RamtekeProfessorZweryfikowany adres z chemical.iitd.ac.in
Sharad BhartiyaProfessor of Chemical Engineering, IIT BombayZweryfikowany adres z che.iitb.ac.in
Suresh BishnoiResearch Scholar, IIT DelhiZweryfikowany adres z iitd.ac.in
Bhavik BakshiJulie Ann Wrigley Professor, Arizona State UniversityZweryfikowany adres z asu.edu
Mathieu BauchyAssociate Professor, UCLAZweryfikowany adres z ucla.edu
S SandeepAssociate Professor, Centre for Atmospheric Sciences, Indian Institute of Technology DelhiZweryfikowany adres z cas.iitd.ac.in
Anurag RathoreIndian Institute of Technology DelhiZweryfikowany adres z biotechcmz.com
K S S Sai SrujanPostdoctoral Research Scientiest, Columbia UniversityZweryfikowany adres z ldeo.columbia.edu
Ruomu TanABB Corporate Research CenterZweryfikowany adres z de.abb.com
Nitya Nand GosvamiDepartment of Materials Science and Engineering, Indian Institute of Technology DelhiZweryfikowany adres z iitd.ac.in
Sreedevi Upadhyayula, U. SrideviCLASS of 66 CHAIR PROFESSOR , Department of Chemical EngineeringZweryfikowany adres z chemical.iitd.ac.in
Anubha AgrawalIndian Institute of Technology DelhiZweryfikowany adres z iitd.ac.in
Ravi GudiDean (ACR) & Professor, Chemical Engineering, IIT BombayZweryfikowany adres z che.iitb.ac.in
Supriya ChakrabortySchool of Life Sciences, Jawaharlal Nehru UniversityZweryfikowany adres z mail.jnu.ac.in
Mayuna GuptaVision Lab @IIT Delhi | Ex-Gartner | CAPS Lab@IIT DelhiZweryfikowany adres z iitdalumni.com
Amreen JanPostdoctoral Researcher, IIT DelhiZweryfikowany adres z iitd.ac.in
Prof. Kamal Kishore PantIIT DELHI INDIAZweryfikowany adres z chemical.iitd.ac.in

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HARIPRASAD KODAMANA

Associate Professor, Department of Chemical Engineering, (Jointly with) Yardi School of AI

Zweryfikowany adres z iitd.ac.in - Strona główna

Machine Learning Optimization and Control Sustainable Systems


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Predicting Young's modulus of oxide glasses with sparse datasets using machine learning S Bishnoi, S Singh, R Ravinder, M Bauchy, NN Gosvami, H Kodamana, ... Journal of Non-Crystalline Solids 524, 119643, 2019	98	2019
Gaussian process modelling with Gaussian mixture likelihood A Daemi, H Kodamana, B Huang Journal of Process Control 81, 209-220, 2019	70	2019
Deep learning aided rational design of oxide glasses R Ravinder, KH Sridhara, S Bishnoi, HS Grover, M Bauchy, H Kodamana, ... Materials horizons 7 (7), 1819-1827, 2020	69	2020
Process monitoring using a generalized probabilistic linear latent variable model R Raveendran, H Kodamana, B Huang Automatica 96, 73-83, 2018	69	2018
Approaches to robust process identification: A review and tutorial of probabilistic methods H Kodamana, B Huang, R Ranjan, Y Zhao, R Tan, N Sammaknejad Journal of Process Control 66, 68-83, 2018	65	2018
A gap metric based multiple model approach for nonlinear switched systems K Hariprasad, S Bhartiya, RD Gudi Journal of process control 22 (9), 1743-1754, 2012	52	2012
Multi-objective dynamic optimization of hybrid renewable energy systems R Sharma, H Kodamana, M Ramteke Chemical Engineering and Processing-Process Intensification 170, 108663, 2022	51	2022
Twin actor twin delayed deep deterministic policy gradient (TATD3) learning for batch process control T Joshi, S Makker, H Kodamana, H Kandath Computers & Chemical Engineering 155, 107527, 2021	51*	2021
Reinforcement learning based optimization of process chromatography for continuous processing of biopharmaceuticals N Saxena, A Tiwari, D Sonawat, H Kodamana, AS Rathore Chemical Engineering Science 230, 116171, 2020	51*	2020
Prediction of ENSO beyond spring predictability barrier using deep convolutional LSTM networks M Gupta, H Kodamana, S Sandeep IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2020	46	2020
Semi‐supervised dynamic latent variable modeling: I/O probabilistic slow feature analysis approach L Fan, H Kodamana, B Huang AIChE Journal 65 (3), 964-979, 2019	46	2019
Mixtures of Probabilistic PCA With Common Structure Latent Bases for Process Monitoring H Kodamana, R Raveendran, B Huang IEEE Transactions on Control Systems Technology, 2018	46	2018
Scalable Gaussian processes for predicting the optical, physical, thermal, and mechanical properties of inorganic glasses with large datasets S Bishnoi, R Ravinder, HS Grover, H Kodamana, NMA Krishnan Materials advances 2 (1), 477-487, 2021	45	2021
Identification of robust probabilistic slow feature regression model for process data contaminated with outliers L Fan, H Kodamana, B Huang Chemometrics and Intelligent Laboratory Systems, 2018	37	2018
Robust Identification of Nonlinear Errors-in-variables Systems with Parameter Uncertainties Using Variational Bayesian Approach F Guo, H Kodamana, Y Zhao, B Huang, Y Ding IEEE Transactions on Industrial Informatics, 2017	35	2017
A stabilizing sub-optimal model predictive control for quasi-linear parameter varying systems S Mate, H Kodamana, S Bhartiya, PSV Nataraj IEEE Control Systems Letters 4 (2), 402-407, 2019	34	2019
A novel approach to process operating mode diagnosis using conditional random fields in the presence of missing data M Fang, H Kodamana, B Huang, N Sammaknejad Computers & Chemical Engineering 111, 149-163, 2018	33	2018
A deep learning framework for the detection of tropical cyclones from satellite images A Nair, KSSS Srujan, SR Kulkarni, K Alwadhi, N Jain, H Kodamana, ... IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021	31	2021
Reinforcement learning based control of batch polymerisation processes V Singh, H Kodamana IFAC-PapersOnLine 53 (1), 667-672, 2020	29	2020
A computationally efficient robust tube based MPC for linear switched systems K Hariprasad, S Bhartiya Nonlinear Analysis: Hybrid Systems 19, 60-76, 2016	28	2016

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