Adaptive robust model predictive control of nonlinear systems using tubes based on interval inclusions. - Hariprasad Kodamana; Sharad Bhartiya (CDC, 2014)

Optimal strategies for transitions in simulated moving bed chromatography. - S. V. Vignesh; Hariprasad Kodamana; Pratik Athawale; Vinod Siram; Sharad Bhartiya (Comput. Chem. Eng., 2016)

Identification of nonlinear errors-in-variables systems in state-space form: A linear parameter varying approach. - Ouyang Wu; Hariprasad Kodamana; Juan Li; Biao Huang 001; J. Fraser Forbes (ASCC, 2017)

An Efficient and Stabilizing Model Predictive Control of Switched Systems. - Hariprasad Kodamana; Sharad Bhartiya (IEEE Trans. Autom. Control., 2017)

Robust Identification of Nonlinear Errors-in-Variables Systems With Parameter Uncertainties Using Variational Bayesian Approach. - Fan Guo 002; Hariprasad Kodamana; Yujia Zhao; Biao Huang 001; Yongsheng Ding (IEEE Trans. Ind. Informatics, 2017)

Switching Conditional Random Field Approach to Process Operating Mode Diagnosis for Multi-Modal Processes. - Mengqi Fang; Hariprasad Kodamana; Biao Huang 001 (CDC, 2018)

Process monitoring using a generalized probabilistic linear latent variable model. - Rahul Raveendran; Hariprasad Kodamana; Biao Huang 001 (Autom., 2018)

A novel approach to process operating mode diagnosis using conditional random fields in the presence of missing data. - Mengqi Fang; Hariprasad Kodamana; Biao Huang 001; Nima Sammaknejad (Comput. Chem. Eng., 2018)

An Augmented Model Approach for Identification of Nonlinear Errors-in-Variables Systems Using the EM Algorithm. - Fan Guo 002; Ouyang Wu; Hariprasad Kodamana; Yongsheng Ding; Biao Huang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2018)

Dynamic prediction of interface level using spatial temporal markov random field. - Zheyuan Liu 004; Hariprasad Kodamana; Artin Afacan; Biao Huang 001 (Comput. Chem. Eng., 2019)

Mixtures of Probabilistic PCA With Common Structure Latent Bases for Process Monitoring. - Hariprasad Kodamana; Rahul Raveendran; Biao Huang 001 (IEEE Trans. Control. Syst. Technol., 2019)

A Stabilizing Sub-Optimal Model Predictive Control for Quasi-Linear Parameter Varying Systems. - Sammyak Mate; Hariprasad Kodamana; Sharad Bhartiya; P. S. V. Nataraj (IEEE Control. Syst. Lett., 2020)

Real-Time Mode Diagnosis for Processes With Multiple Operating Conditions Using Switching Conditional Random Fields. - Mengqi Fang; Hariprasad Kodamana; Biao Huang 001 (IEEE Trans. Ind. Electron., 2020)

Twin actor twin delayed deep deterministic policy gradient (TATD3) learning for batch process control. - Tanuja Joshi; Shikhar Makker; Hariprasad Kodamana; Harikumar Kandath 001 (Comput. Chem. Eng., 2021)

Application of twin delayed deep deterministic policy gradient learning for the control of transesterification process. - Tanuja Joshi; Shikhar Makker; Hariprasad Kodamana; Harikumar Kandath 001 (CoRR, 2021)

Application of Machine Learning in understanding plant virus pathogenesis: Trends and perspectives on emergence, diagnosis, host-virus interplay and management. - Dibyendu Ghosh; Srija Chakraborty; Hariprasad Kodamana; Supriya Chakraborty (CoRR, 2021)

Multi-objective Optimization Based Recursive Feature Elimination for Process Monitoring. - Shivendra Singh; Anubha Agrawal; Hariprasad Kodamana; Manojkumar Ramteke (Neural Process. Lett., 2021)

TASAC: a twin-actor reinforcement learning framework with stochastic policy for batch process control. - Tanuja Joshi; Hariprasad Kodamana; Harikumar Kandath 001; Niket S. Kaisare (CoRR, 2022)

Prediction of ENSO Beyond Spring Predictability Barrier Using Deep Convolutional LSTM Networks. - Mayuna Gupta; Hariprasad Kodamana; S. Sandeep (IEEE Geosci. Remote. Sens. Lett., 2022)

A Deep Learning Framework for the Detection of Tropical Cyclones From Satellite Images. - Aravind Nair; K. S. S. Sai Srujan; Sayali R. Kulkarni; Kshitij Alwadhi; Navya Jain; Hariprasad Kodamana; S. Sandeep; Viju O. John (IEEE Geosci. Remote. Sens. Lett., 2022)

Prediction of Synoptic-Scale Sea Level Pressure Over the Indian Monsoon Region Using Deep Learning. - Aryaman Sinha; Mayuna Gupta; K. S. S. Sai Srujan; Hariprasad Kodamana; S. Sandeep (IEEE Geosci. Remote. Sens. Lett., 2022)

Frigate: Frugal Spatio-temporal Forecasting on Road Networks. - Mridul Gupta; Hariprasad Kodamana; Sayan Ranu (KDD, 2023)

Fault detection and isolation of multi-variate time series data using spectral weighted graph auto-encoders. - Umang Goswami; Jyoti Rani; Hariprasad Kodamana; Sandeep Kumar; Prakash Kumar Tamboli (J. Frankl. Inst., 2023)

Forecasting sustainable power generation profiles to achieve net zero emissions using multi-objective techno-ecological framework: A study in the context of India. - Ahteshamul Haq; Reena Sharma; Bhavik R. Bakshi; Hariprasad Kodamana; Manojkumar Ramteke (Comput. Chem. Eng., 2023)

Mirage: Model-agnostic Graph Distillation for Graph Classification. - Mridul Gupta; Sahil Manchanda; Hariprasad Kodamana; Sayan Ranu (ICLR, 2024)

Multi-objective optimization of food-energy-water nexus via crops land allocation. - Anubha Agrawal; Bhavik R. Bakshi; Hariprasad Kodamana; Manojkumar Ramteke (Comput. Chem. Eng., 2024)

Fault detection using Graph Neural Differential Auto-encoders (GNDAE). - Umang Goswami; Hariprasad Kodamana; Manojkumar Ramteke (Comput. Chem. Eng., 2024)

Generative adversarial wavelet neural operator: Application to fault detection and isolation of multivariate time series data. - Jyoti Rani; Tapas Tripura; Hariprasad Kodamana; Souvik Chakraborty (CoRR, 2024)

Bonsai: Gradient-free Graph Distillation for Node Classification. - Mridul Gupta; Samyak Jain; Vansh Ramani; Hariprasad Kodamana; Sayan Ranu (CoRR, 2024)

DeepDepth: Prediction of O(6)-methylguanine-DNA methyltransferase genotype in glioblastoma patients using multimodal representation learning based on deep feature fusion. - B. Keerthiveena; Mohammad Tufail Sheikh; Hariprasad Kodamana; Anurag S. Rathore (Neural Comput. Appl., 2024)

Bonsai: Gradient-free Graph Condensation for Node Classification. - Mridul Gupta; Samyak Jain; Vansh Ramani; Hariprasad Kodamana; Sayan Ranu (ICLR, 2025)

An adversarial twin-agent inverse proximal policy optimization guided by model predictive control. - Nikita Gupta; Harikumar Kandath 001; Hariprasad Kodamana (Comput. Chem. Eng., 2025)

An evolutionary study on technologies for polyethylene terephthalate waste recycling using natural language processing. - Avan Kumar; Harshitha Chandra Jami; Bhavik R. Bakshi; Manojkumar Ramteke; Hariprasad Kodamana (Comput. Chem. Eng., 2025)

Multi-objective optimization of crop land allocation for sustainability within the food-energy-water-land-fertilizer (FEWLF) nexus. - Robin Rathore; Bhavik R. Bakshi; Hariprasad Kodamana; Manojkumar Ramteke (Comput. Chem. Eng., 2025)