Hariprasad Kodamana

39 papers A* 3Journal 33Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive fault detection via machine unlearning. Comput. Chem. Eng. Amal Anto, Deepak Kumar, Hariprasad Kodamana, Manojkumar Ramteke
2026	J	`jnl`	Comparison of actor-critic reinforcement learning methods for adaptive cut selection for integer programming with applications to sensor network design. Comput. Chem. Eng. Arjun M., Manojkumar Ramteke, Hariprasad Kodamana
2025	J	`jnl`	An adversarial twin-agent inverse proximal policy optimization guided by model predictive control. Comput. Chem. Eng. Nikita Gupta, Harikumar Kandath, Hariprasad Kodamana
2025	J	`jnl`	An evolutionary study on technologies for polyethylene terephthalate waste recycling using natural language processing. Comput. Chem. Eng. Avan Kumar, Harshitha Chandra Jami, Bhavik R. Bakshi, Manojkumar Ramteke, Hariprasad Kodamana
2025	A*	`conf`	Bonsai: Gradient-free Graph Condensation for Node Classification. ICLR Mridul Gupta, Samyak Jain, Vansh Ramani, Hariprasad Kodamana, Sayan Ranu
2025	J	`jnl`	Multi-objective optimization for sustainable agricultural strategies considering future climatic scenarios: A study in the context of India. Comput. Chem. Eng. Shobhita Sharma, K. M. Anirudh, Bhavik R. Bakshi, Sukumaran Sandeep, Hariprasad Kodamana, Manojkumar Ramteke
2025	J	`jnl`	Multi-objective optimization of crop land allocation for sustainability within the food-energy-water-land-fertilizer (FEWLF) nexus. Comput. Chem. Eng. Robin Rathore, Bhavik R. Bakshi, Hariprasad Kodamana, Manojkumar Ramteke
2024	J	`jnl`	Bonsai: Gradient-free Graph Distillation for Node Classification. CoRR Mridul Gupta, Samyak Jain, Vansh Ramani, Hariprasad Kodamana, Sayan Ranu
2024	J	`jnl`	DeepDepth: Prediction of O(6)-methylguanine-DNA methyltransferase genotype in glioblastoma patients using multimodal representation learning based on deep feature fusion. Neural Comput. Appl. B. Keerthiveena, Mohammad Tufail Sheikh, Hariprasad Kodamana, Anurag S. Rathore
2024	J	`jnl`	Fault detection using Graph Neural Differential Auto-encoders (GNDAE). Comput. Chem. Eng. Umang Goswami, Hariprasad Kodamana, Manojkumar Ramteke
2024	J	`jnl`	Generative adversarial wavelet neural operator: Application to fault detection and isolation of multivariate time series data. CoRR Jyoti Rani, Tapas Tripura, Hariprasad Kodamana, Souvik Chakraborty
2024	A*	`conf`	Mirage: Model-agnostic Graph Distillation for Graph Classification. ICLR Mridul Gupta, Sahil Manchanda, Hariprasad Kodamana, Sayan Ranu
2024	J	`jnl`	Multi-objective optimization of food-energy-water nexus via crops land allocation. Comput. Chem. Eng. Anubha Agrawal, Bhavik R. Bakshi, Hariprasad Kodamana, Manojkumar Ramteke
2023	J	`jnl`	FRIGATE: Frugal Spatio-temporal Forecasting on Road Networks. CoRR Mridul Gupta, Hariprasad Kodamana, Sayan Ranu
2023	J	`jnl`	Fault detection and isolation of multi-variate time series data using spectral weighted graph auto-encoders. J. Frankl. Inst. Umang Goswami, Jyoti Rani, Hariprasad Kodamana, Sandeep Kumar, Prakash Kumar Tamboli
2023	J	`jnl`	Forecasting sustainable power generation profiles to achieve net zero emissions using multi-objective techno-ecological framework: A study in the context of India. Comput. Chem. Eng. Ahteshamul Haq, Reena Sharma, Bhavik R. Bakshi, Hariprasad Kodamana, Manojkumar Ramteke
2023	A*	`conf`	Frigate: Frugal Spatio-temporal Forecasting on Road Networks. KDD Mridul Gupta, Hariprasad Kodamana, Sayan Ranu
2023	J	`jnl`	Mirage: Model-Agnostic Graph Distillation for Graph Classification. CoRR Mridul Gupta, Sahil Manchanda, Hariprasad Kodamana, Sayan Ranu
2022	J	`jnl`	A Deep Learning Framework for the Detection of Tropical Cyclones From Satellite Images. IEEE Geosci. Remote. Sens. Lett. Aravind Nair, K. S. S. Sai Srujan, Sayali R. Kulkarni, Kshitij Alwadhi, Navya Jain, Hariprasad Kodamana, Sukumaran Sandeep, Viju O. John
2022	J	`jnl`	Prediction of ENSO Beyond Spring Predictability Barrier Using Deep Convolutional LSTM Networks. IEEE Geosci. Remote. Sens. Lett. Mayuna Gupta, Hariprasad Kodamana, Sukumaran Sandeep
2022	J	`jnl`	Prediction of Synoptic-Scale Sea Level Pressure Over the Indian Monsoon Region Using Deep Learning. IEEE Geosci. Remote. Sens. Lett. Aryaman Sinha, Mayuna Gupta, K. S. S. Sai Srujan, Hariprasad Kodamana, Sukumaran Sandeep
2022	J	`jnl`	TASAC: a twin-actor reinforcement learning framework with stochastic policy for batch process control. CoRR Tanuja Joshi, Hariprasad Kodamana, Harikumar Kandath, Niket S. Kaisare
2021	J	`jnl`	Application of Machine Learning in understanding plant virus pathogenesis: Trends and perspectives on emergence, diagnosis, host-virus interplay and management. CoRR Dibyendu Ghosh, Srija Chakraborty, Hariprasad Kodamana, Supriya Chakraborty
2021	J	`jnl`	Application of twin delayed deep deterministic policy gradient learning for the control of transesterification process. CoRR Tanuja Joshi, Shikhar Makker, Hariprasad Kodamana, Harikumar Kandath
2021	J	`jnl`	Multi-objective Optimization Based Recursive Feature Elimination for Process Monitoring. Neural Process. Lett. Shivendra Singh, Anubha Agrawal, Hariprasad Kodamana, Manojkumar Ramteke
2021	J	`jnl`	Twin actor twin delayed deep deterministic policy gradient (TATD3) learning for batch process control. Comput. Chem. Eng. Tanuja Joshi, Shikhar Makker, Hariprasad Kodamana, Harikumar Kandath
2020	J	`jnl`	A Stabilizing Sub-Optimal Model Predictive Control for Quasi-Linear Parameter Varying Systems. IEEE Control. Syst. Lett. Sammyak Mate, Hariprasad Kodamana, Sharad Bhartiya, P. S. V. Nataraj
2020	J	`jnl`	Real-Time Mode Diagnosis for Processes With Multiple Operating Conditions Using Switching Conditional Random Fields. IEEE Trans. Ind. Electron. Mengqi Fang, Hariprasad Kodamana, Biao Huang
2019	J	`jnl`	Dynamic prediction of interface level using spatial temporal markov random field. Comput. Chem. Eng. Zheyuan Liu, Hariprasad Kodamana, Artin Afacan, Biao Huang
2019	J	`jnl`	Mixtures of Probabilistic PCA With Common Structure Latent Bases for Process Monitoring. IEEE Trans. Control. Syst. Technol. Hariprasad Kodamana, Rahul Raveendran, Biao Huang
2018	J	`jnl`	A novel approach to process operating mode diagnosis using conditional random fields in the presence of missing data. Comput. Chem. Eng. Mengqi Fang, Hariprasad Kodamana, Biao Huang, Nima Sammaknejad
2018	J	`jnl`	An Augmented Model Approach for Identification of Nonlinear Errors-in-Variables Systems Using the EM Algorithm. IEEE Trans. Syst. Man Cybern. Syst. Fan Guo, Ouyang Wu, Hariprasad Kodamana, Yongsheng Ding, Biao Huang
2018	J	`jnl`	Process monitoring using a generalized probabilistic linear latent variable model. Autom. Rahul Raveendran, Hariprasad Kodamana, Biao Huang
2018	—	`conf`	Switching Conditional Random Field Approach to Process Operating Mode Diagnosis for Multi-Modal Processes. CDC Mengqi Fang, Hariprasad Kodamana, Biao Huang
2017	J	`jnl`	An Efficient and Stabilizing Model Predictive Control of Switched Systems. IEEE Trans. Autom. Control. Hariprasad Kodamana, Sharad Bhartiya
2017	—	`conf`	Identification of nonlinear errors-in-variables systems in state-space form: A linear parameter varying approach. ASCC Ouyang Wu, Hariprasad Kodamana, Juan Li, Biao Huang, J. Fraser Forbes
2017	J	`jnl`	Robust Identification of Nonlinear Errors-in-Variables Systems With Parameter Uncertainties Using Variational Bayesian Approach. IEEE Trans. Ind. Informatics Fan Guo, Hariprasad Kodamana, Yujia Zhao, Biao Huang, Yongsheng Ding
2016	J	`jnl`	Optimal strategies for transitions in simulated moving bed chromatography. Comput. Chem. Eng. S. V. Vignesh, Hariprasad Kodamana, Pratik Athawale, Vinod Siram, Sharad Bhartiya
2014	—	`conf`	Adaptive robust model predictive control of nonlinear systems using tubes based on interval inclusions. CDC Hariprasad Kodamana, Sharad Bhartiya