Numerical solution of multi-order fractional differential equations using generalized triangular function operational matrices. - Seshu Kumar Damarla; Madhusree Kundu (Appl. Math. Comput., 2015)

Classification and Authentication of Mineral Water Samples using Electronic Tongue and Deep Neural Networks. - Seshu Kumar Damarla; Xiuli Zhu; Madhusree Kundu (CogMI, 2021)

A Gaussian mixture model based virtual sample generation approach for small datasets in industrial processes. - Ling Li; Seshu Kumar Damarla; Yalin Wang 003; Biao Huang 001 (Inf. Sci., 2021)

Modern Machine Learning Tools for Monitoring and Control of Industrial Processes: A Survey. - R. Bhushan Gopaluni; Aditya Tulsyan; Benoît Chachuat; Biao Huang 001; Jong Min Lee 002; Faraz Amjad; Seshu Kumar Damarla; Jong Woo Kim; Nathan P. Lawrence (CoRR, 2022)

Parallel Interaction Spatiotemporal Constrained Variational Autoencoder for Soft Sensor Modeling. - Xiuli Zhu; Seshu Kumar Damarla; Kuangrong Hao; Biao Huang 001 (IEEE Trans. Ind. Informatics, 2022)

Electronic Tongue based Classification of Mineral Water Samples using Markov Transition Field and CNN. - Seshu Kumar Damarla; Xiuli Zhu; Madhusree Kundu (COMAD/CODS, 2023)

Estimation of minimum miscibility pressure (MMP) in impure/pure N2 based enhanced oil recovery process: A comparative study of statistical and machine learning algorithms. - Xiuli Zhu; Seshu Kumar Damarla; Biao Huang 001 (CoRR, 2023)

ConvLSTM and Self-Attention Aided Canonical Correlation Analysis for Multioutput Soft Sensor Modeling. - Xiuli Zhu; Seshu Kumar Damarla; Kuangrong Hao; Biao Huang 001; Hongtian Chen; Yicun Hua (IEEE Trans. Instrum. Meas., 2023)

Electronic Tongue based Classification of Mineral Water Samples using Gramian Angular Field and Deep SAE. - Seshu Kumar Damarla (COMAD/CODS, 2024)

CNN and MLR based Multifunction Sensor Development using Piezo-resistive Element. - Seshu Kumar Damarla; Palash Kundu (COMAD/CODS, 2024)

Detection of poor controller tuning with Gramian Angular Field (GAF) and StackAutoencoder (SAE). - Amirreza Memarian; Seshu Kumar Damarla; Alireza Memarian; Biao Huang 001 (Comput. Chem. Eng., 2024)

Machine learning for industrial sensing and control: A survey and practical perspective. - Nathan P. Lawrence; Seshu Kumar Damarla; Jong Woo Kim; Aditya Tulsyan; Faraz Amjad; Kai Wang 024; Benoît Chachuat; Jong Min Lee 002; Biao Huang 001; R. Bhushan Gopaluni (CoRR, 2024)

A deep learning framework for cyberattack detection and classification in Industrial Control Systems. - Malhar Barbhaya; Purushottama Rao Dasari; Seshu Kumar Damarla; Rajagopalan Srinivasan; Biao Huang 001 (Comput. Chem. Eng., 2025)

Novel dynamic data-driven modeling based on feature enhancement with derivative memory LSTM for complex industrial process. - Xiuli Zhu; Jiajun Xu; Zixuan Fu; Seshu Kumar Damarla; Peng Wang; Kuangrong Hao (Neurocomputing, 2025)