Elaheh Sadredini is an assistant professor at the Department of Computer Science and Engineering at UC Riverside. She received her Ph.D. in Computer Science at the University of Virginia in 2019, advised by Professor Kevin Skadron, and she was a member at the Center for Research on Intelligent Storage and Processing in Memory (CRISP). Her research focus is on developing specialized, near-memory, and in-memory hardware accelerators for big data applications, including natural language processing, data mining, and bioinformatics. Her research has resulted in several publications at top-tier venues (such as MICRO, ASPLOS, HPCA, ICS, and KDD) and several patents and patent applications. Elaheh is the recipient of several awards, including the John A. Stankovic Graduate Research Award from the UVA Department of Computer Science for outstanding research in 2019 and the UVA International Students Office Graduation Award for Academic Excellence in 2019. She also received the best paper awards at the ACM International Conference on Computing Frontiers in 2016, the “Best of CAL” award in 2019, and a nomination for the best paper award at IISWC’19, FCCM’20, and HPCA’20.

I am Shivani Shah, completed my Bachelor of Technology majoring in Information and Communication Technology from School of Engineering and Applied Science, Ahmedabad University. Currently, I am Research Scholar at IIIT Banglore. During my graduation, I have done a few projects such as 'Implementation of 8-bit MIPS processor on FPGA' (Coding Language: Verilog, Tool: Xilinx). I did my final year project on designing ‘Reduced Hardware Hybrid Branch Predictor’ at Ahmedabad University. Control Block is one of the major parts of any computer architecture, I focused on designing hybrid hardware, a combination of 1-bit predictor and 2-bit predictor, but hardware only of 2-bit predictor which drastically optimized the hardware requirements without compromising processor speed. So right now I have done instruction-level parallelism.