Bipin Rajendran

Northeastern University — United States

Engineering · Physical Sciences

31h-index7.0kcitations196works1.52yr avg
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Research Topics

Advanced Memory and Neural Computing(139), Ferroelectric and Negative Capacitance Devices(57), Neural dynamics and brain function(45), Neural Networks and Reservoir Computing(35), Neuroscience and Neural Engineering(24)

Publications196 total

Special issue on bits, neurons and qubits for sustainable AI
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences·2026Open Access
Towards efficient and reliable artificial intelligence through neuromorphic principles
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences·2026· 1 citedOpen Access
Closed-form feedback-free learning with forward projection
Nature Communications·2026Open Access
Efficient transformer adaptation for analog in-memory computing via low-rank adapters
Neuromorphic Computing and Engineering·2026Open Access
On-Device Fine-Tuning via Backprop-Free Zeroth-Order Optimization
arXiv (Cornell University)·2025Open Access
D2.4 – Mixed Analog-Digital Hardware Architecture
Zenodo (CERN European Organization for Nuclear Research)·2025Open Access
Modelling the Impact of Lateral Electrode Offset in Vertical Memristors for Neuromorphic Applications
2025
Accuracy Simulation of Analog In-Memory Computing (AIMC) Accelerators
Zenodo (CERN European Organization for Nuclear Research)·2025Open Access
Accuracy Simulation of Analog In-Memory Computing (AIMC) Accelerators
Zenodo (CERN European Organization for Nuclear Research)·2025Open Access
CSI-Free Symbol Detection for Atomic MIMO Receivers via In-Context Learning
ArXiv.org·2025Open Access
Stochastic Quantum Spiking Neural Networks with Quantum Memory and Local Learning
ArXiv.org·2025Open Access
Neuromorphic Wireless Split Computing with Resonate-and-Fire Neurons
arXiv (Cornell University)·2025Open Access
Neuromorphic Wireless Semantic Communication with Multi-Level Spikes
2025
In-Context Learned Equalization in Cell-Free Massive MIMO via State-Space Models
2025· 1 cited
Sparsity-Aware Optimization of In-Memory Bayesian Binary Neural Network Accelerators
2025· 2 cited
Turbo-ICL: In-Context Learning-Based Turbo Equalization
arXiv (Cornell University)·2025Open Access
Xpikeformer: Hybrid Analog-Digital Hardware Acceleration for Spiking Transformers
IEEE Transactions on Very Large Scale Integration (VLSI) Systems·2025· 3 cited
Bayes2IMC: In-Memory Computing for Bayesian Binary Neural Networks
IEEE Transactions on Circuits and Systems I Regular Papers·2025· 2 cited
Closed-Form Feedback-Free Learning with Forward Projection
arXiv (Cornell University)·2025Open Access
Neuromorphic Wireless Split Computing With Multi-Level Spikes
IEEE Transactions on Machine Learning in Communications and Networking·2025· 2 citedOpen Access
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Frequent Co-authors

S. R. Nandakumar(12), Abu Sebastian(11), Evangelos Eleftheriou(10), R. Cheek(10), M. Breitwisch(10), Irem Boybat(9), Manuel Le Gallo(9), A. G. Schrott(9), Eric Joseph(8), H.L. Lung(8), C. Lam(7), Simone Raoux(6), Geoffrey W. Burr(6), Vinay Joshi(5), Christophe Piveteau(5), Osvaldo Simeone(5), Yu Zhu(5), R. Dasaka(5), M. Lamorey(4), Udayan Ganguly(4)