Design of Artificial Spiking Neuron with SiO2 Memristive Synapse to Demonstrate Neuron-Level Spike Timing Dependent Plasticity. - Jessie Xuhua Niu; Hasita Veluri; Yida Li; Umesh Chand; Jin Feng Leong; Evgeny Zamburg; Maheswari Sivan; Aaron Voon-Yew Thean (ICICDT, 2019)

Fledge: Flexible Edge Platforms Enabled by In-memory Computing. - Kamalika Datta; Arko Dutt; Ahmed Zaky; Umesh Chand; Devendra Singh; Yida Li; Jackson Chun-Yang Huang; Aaron Thean; Mohamed M. Sabry Aly (DATE, 2020)

Sub-10nm Ultra-thin ZnO Channel FET with Record-High 561 µA/µm ION at VDS 1V, High µ-84 cm2/V-s and1T-1RRAM Memory Cell Demonstration Memory Implications for Energy-Efficient Deep-Learning Computing. - Umesh Chand; Mohamed M. Sabry Aly; Manohar Lal; Chen Chun-Kuei; Sonu Hooda; Shih-Hao Tsai; Zihang Fang; Hasita Veluri; Aaron Voon-Yew Thean (VLSI Technology and Circuits, 2022)

A Low-Power DNN Accelerator Enabled by a Novel Staircase RRAM Array. - Hasita Veluri; Umesh Chand; Yida Li; Baoshan Tang; Aaron Voon-Yew Thean (IEEE Trans. Neural Networks Learn. Syst., 2023)

A Low-Latency DNN Accelerator Enabled by DFT-Based Convolution Execution Within Crossbar Arrays. - Hasita Veluri; Umesh Chand; Chun-Kuei Chen; Aaron Voon-Yew Thean (IEEE Trans. Neural Networks Learn. Syst., 2025)

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training. - Masahiro Tanaka; Du Li; Umesh Chand; Ali Zafar; Haiying Shen; Olatunji Ruwase (CoRR, 2025)