A survey of encoding techniques for reducing data-movement energy. - Sparsh Mittal; Subhrajit Nag (J. Syst. Archit., 2019)

Detecting Usage of Mobile Phones using Deep Learning Technique. - Poonam Rajput; Subhrajit Nag; Sparsh Mittal (GOODTECHS, 2020)

E2GC: Energy-efficient Group Convolution in Deep Neural Networks. - Nandan Kumar Jha; Rajat Saini; Subhrajit Nag; Sparsh Mittal (VLSID, 2020)

CURATING: A multi-objective based pruning technique for CNNs. - Santanu Pattanayak; Subhrajit Nag; Sparsh Mittal (J. Syst. Archit., 2021)

WaferSegClassNet - A light-weight network for classification and segmentation of semiconductor wafer defects. - Subhrajit Nag; Dhruv Makwana; R. Sai Chandra Teja; Sparsh Mittal; C. Krishna Mohan (Comput. Ind., 2022)

ACLNet: An Attention and Clustering-based Cloud Segmentation Network. - Dhruv Makwana; Subhrajit Nag; Onkar Susladkar; Gayatri Deshmukh; R. Sai Chandra Teja; Sparsh Mittal; C. Krishna Mohan (CoRR, 2022)

ClarifyNet: A high-pass and low-pass filtering based CNN for single image dehazing. - Onkar Susladkar; Gayatri Deshmukh; Subhrajit Nag; Ananya Mantravadi; Dhruv Makwana; Sujitha Ravichandran; R. Sai Chandra Teja; Gajanan H. Chavhan; C. Krishna Mohan; Sparsh Mittal (J. Syst. Archit., 2022)