A dynamical model of a GRID market - Uli Harder; Peter G. Harrison; Maya Paczuski; Tejas Shah (CoRR, 2004)

Grid tie inverter based interfacing model and its design. - Rohan Isawe; Mukta Darekar; Tejas Shah; Y. S. Rao 003 (ICACCI, 2013)

WVSNP-DASH: Name-Based Segmented Video Streaming. - Adolph Seema; Lukas Schwoebel; Tejas Shah; Jeffery Morgan; Martin Reisslein (IEEE Trans. Broadcast., 2015)

Power profiling of multimedia sensor node with name-based segment streaming. - Adolph Seema; Tejas Shah; Lukas Schwoebel; Yu Liu 001; Martin Reisslein (Multim. Tools Appl., 2018)

Mining Intellectual Influence Associations. - Tejas Shah; Vikram Pudi (BIR@ECIR, 2019)

LION LBD: a literature-based discovery system for cancer biology. - Sampo Pyysalo; Simon Baker; Imran Ali; Stefan Haselwimmer; Tejas Shah; Andrew Young; Yufan Guo; Johan Högberg; Ulla Stenius; Masashi Narita; Anna Korhonen (Bioinform., 2019)

CRANIA: Unlocking Data and Value Reuse in Iterative Neural Network Architectures. - Maedeh Hemmat; Tejas Shah; Yuhua Chen; Joshua San Miguel (ASP-DAC, 2020)

Reuse Cache for Heterogeneous CPU-GPU Systems. - Tejas Shah; Bobbi Yogatama; Kyle Roarty; Rami Dahman (CoRR, 2021)

Exploring Low-light Object Detection Techniques. - Winston Chen; Tejas Shah (CoRR, 2021)

AutoDC: Automated data-centric processing. - Zac Yung-Chun Liu; Shoumik Roychowdhury; Scott Tarlow; Akash Nair; Shweta Badhe; Tejas Shah (CoRR, 2021)

Ponte Vecchio: A Multi-Tile 3D Stacked Processor for Exascale Computing. - Wilfred Gomes; Altug Koker; Patrick N. Stover; Doug B. Ingerly; Scott Siers; Srikrishnan Venkataraman; Chris Pelto; Tejas Shah; Amreesh Rao; Frank O'Mahony; Eric Karl; Lance Cheney; et al. (ISSCC, 2022)

ParTBC: Faster Estimation of Top-k Betweenness Centrality Vertices on GPU. - Somesh Singh 001; Tejas Shah; Rupesh Nasre (ACM Trans. Design Autom. Electr. Syst., 2022)