Digital Remote Labs Built by the Students and for the Students. - J. Nikhil; J. Pavan; H. O. Darshan; G. Anand Kumar; J. Gaurav; C. R. Yamuna Devi (REV, 2018)

3D Deep Learning for Automatic Brain MR Tumor Segmentation with T-Spline Intensity Inhomogeneity Correction. - G. Anand Kumar; P. V. Sridevi (Autom. Control. Comput. Sci., 2018)

Fully Hardware based Robust Self-Diagnostics of Analog Comparator for Safety Critical Applications. - G. Anand Kumar (IINTEC, 2019)

Deep learning network with Euclidean similarity factor for Brain MR Tumor segmentation and volume estimation. - G. Anand Kumar; P. V. Sridevi (Int. J. Model. Simul. Sci. Comput., 2019)

Secure, Scalable and Low-Power Junction Temperature Sensing for Multi-Processor Systems-on-Chip. - G. Anand Kumar (ISQED, 2020)

Self-Learning Analog Comparator with Adaptive Sampling Rate Scheme for Energy Optimization in Continuous Input Monitoring Applications. - G. Anand Kumar; Veeramanikandan Raju (ISQED, 2021)

E-fuzzy feature fusion and thresholding for morphology segmentation of brain MRI modalities. - G. Anand Kumar; P. V. Sridevi (Multim. Tools Appl., 2021)

A real time crime scene intelligent video surveillance systems in violence detection framework using deep learning techniques. - Kishan Bhushan Sahay; Bhuvaneswari Balachander; B. Jagadeesh; G. Anand Kumar; Ravi Kumar 002; L. Rama Parvathy (Comput. Electr. Eng., 2022)

Brain tumor segmentation with missing MRI modalities using edge aware discriminative feature fusion based transformer U-net. - B. Jagadeesh; G. Anand Kumar (Appl. Soft Comput., 2024)

IoT-enabled recurrent spatio-temporal adaptive attention of temporal convolutional transformer with continual learning for dairy farming. - G. Anand Kumar; B. Muni Lavanya; Md. Khaja Mohiddin; Sourabh Mitra (Expert Syst. Appl., 2025)