BR
Bipin Rajendran
Northeastern University London, Stanford University
Research areas: Engineering · Electrical and Electronic Engineering · Advanced Memory and Neural Computing · Neural Networks and Applications · Ferroelectric and Negative Capacitance Devices
Employment
- 2026 - Present
Education
-
Stanford University Ph.D2001 - 2006
Projects & Funding
Projects & funding information is unavailable.
Publications (197)
- Controlled oxygen vacancy electrode reservoir for robust WO3-based memory devices Save
- Achieving High ON State Current through Ferroelectric Polarization‐Dependent Interfacial Resistance Switching in Undoped Orthorhombic HfO 2 Films Save
- Closed-form feedback-free learning with forward projection Save
- Efficient transformer adaptation for analog in-memory computing via low-rank adapters Save
- Bayes2IMC: In-Memory Computing for Bayesian Binary Neural Networks Save
- Bayes2IMC: In-Memory Computing for Bayesian Binary Neural Networks Save
- CSI-Free Symbol Detection for Atomic MIMO Receivers via In-Context Learning Save
- Closed-Form Feedback-Free Learning with Forward Projection Save
- In-Context Learned Equalization in Cell-Free Massive MIMO via State-Space Models Save
- Neuromorphic Wireless Semantic Communication with Multi-Level Spikes Save
- Neuromorphic Wireless Split Computing With Multi-Level Spikes Save
- Neuromorphic Wireless Split Computing with Multi-Level Spikes Save
- Neuromorphic Wireless Split Computing with Resonate-and-Fire Neurons Save
- Sparsity-Aware Optimization of In-Memory Bayesian Binary Neural Network Accelerators Save
- Stochastic Quantum Spiking Neural Networks with Quantum Memory and Local Learning Save
- Turbo-ICL: In-Context Learning-Based Turbo Equalization Save
- Xpikeformer: Hybrid Analog-Digital Hardware Acceleration for Spiking Transformers Save
- Baseline Drift Tolerant Signal Encoding for ECG Classification with Deep Learning Save
- Bayesian Inference Accelerator for Spiking Neural Networks Save
- Bayesian Inference Accelerator for Spiking Neural Networks Save