Timing Matters: Delay Fault Characterization and Testing in SNN Accelerators
Proceedings of the Great Lakes Symposium on VLSI 2026, pp. 179–186
Leveraging Non-Equilibrium ECRAM Dynamics for Short-Term Plasticity in Neuromorphic Circuits
arXiv (Cornell University), preprint
A Clock-Free Analog Time-Domain Dendrite Circuit for Neuromorphic Computing
2025 32nd IEEE International Conference on Electronics, Circuits and Systems (ICECS), pp. 1–4
Depth-Based Matrix Classification for the HHL Quantum Algorithm
2025 IEEE International Conference on Quantum Computing and Engineering (QCE), pp. 169–179
Evaluating FeFET and Memristor Performance in Time-Domain Computing Applications
2025 IEEE 68th International Midwest Symposium on Circuits and Systems (MWSCAS), pp. 308–312
Quantum Adaptive Learning Rate
Computing in Science & Engineering, vol. 27, no. 4, pp. 28–38
High-Throughput Time-domain Neuromorphic Computing using Memristors and ECRAM
2025 IEEE 34st Microelectronics Design & Test Symposium (MDTS), pp. 1–5
Enabling Long Chain Lengths and High-Throughput for Time-Domain Neuromorphic Computing
IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 72, no. 8, pp. 983–987
Power Analysis Attacks on NVM Crossbar-based Neuromorphic Systems
Neural Processing Letters, vol. 57, no. 1
Neuromorphic computing at scale
Nature, vol. 637, no. 8047, pp. 801–812
Realizing linear synaptic plasticity in electric double layer-gated transistors for improved predictive accuracy and efficiency in neuromorphic computing
Journal of Physics: Materials, vol. 8, no. 1, p. 015008
Neuromorphic Computing with Memristors: From Circuits to Algorithms
Intelligence in Chip: Integrated Sensors and Memristive Computing, pp. 216–258
Activation Function Perturbations in Artificial Neural Networks Effects on Robustness
2024 IEEE Western New York Image and Signal Processing Workshop (WNYISPW), pp. 1–4
Contrastive Learning in Memristor-Based Neuromorphic Systems
2024 IEEE Workshop on Signal Processing Systems (SiPS), pp. 171–176
Throughput Optimization for Time-Domain Neuromorphic Computing
2024 IEEE 67th International Midwest Symposium on Circuits and Systems (MWSCAS), pp. 136–140
Trustworthy and Robust Machine Learning for Multimedia: Challenges and Perspectives
2024 IEEE 7th International Conference on Multimedia Information Processing and Retrieval (MIPR), vol. 97, pp. 522–528
Design Space Exploration of Memristor-based Delay Cells for Time-domain Neuromorphic Computing
2024 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1–5
Heterostimuli chemo-modulation of neuromorphic nanocomposites for time-, power-, and data-efficient machine learning
Matter, vol. 7, no. 3, pp. 1230–1244
Memristor Based Liquid State Machine With Method for In-Situ Training
IEEE Transactions on Nanotechnology, vol. 23, pp. 376–385
Poster Session: Eye-tracking while learning greebles.
Journal of Vision, vol. 23, no. 11, p. 52
Synaptic Scaling and Optimal Bias Adjustments for Power Reduction in Neuromorphic Systems
2023 IEEE 66th International Midwest Symposium on Circuits and Systems (MWSCAS), pp. 748–752
NCE focus issue: extreme edge computing
Neuromorphic Computing and Engineering, vol. 3, no. 3, p. 030401
A Bio-Inspired Computational Astrocyte Model for Spiking Neural Networks
2023 International Joint Conference on Neural Networks (IJCNN), vol. 2001, pp. 1–8
Exploiting Logic Locking for a Neural Trojan Attack on Machine Learning Accelerators
Proceedings of the Great Lakes Symposium on VLSI 2023, pp. 351–356
Neurochip Design, Modeling, and Applications
Selected Topics in Intelligent Chips with Emerging Devices, Circuits and Systems, pp. 207–234
Energy-efficient and noise-tolerant neuromorphic computing based on memristors and domino logic
Frontiers in Nanotechnology, vol. 5
Heterostimuli-Modulated Neuromorphic Materials and Systems for Fast, Energy-Efficient and High-Accuracy Machine Learning
SSRN Electronic Journal, preprint
Neuromorphic properties of flexible carbon nanotube/polydimethylsiloxane nanocomposites
Advanced Composites and Hybrid Materials, vol. 6, no. 1
Circuit Optimization Techniques for Efficient Ex-Situ Training of Robust Memristor Based Liquid State Machine
Proceedings of the 17th ACM International Symposium on Nanoscale Architectures, pp. 1–6
Accelerating the Training of Single Layer Binary Neural Networks using the HHL Quantum Algorithm
2022 IEEE 40th International Conference on Computer Design (ICCD), pp. 427–433
Enhancing Adversarial Attacks on Single-Layer NVM Crossbar-Based Neural Networks with Power Consumption Information
2022 IEEE 35th International System-on-Chip Conference (SOCC), pp. 1–6
Exploring Adversarial Attacks and Defenses in Deep Learning
2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), pp. 1–6
A Survey on Machine Learning Accelerators and Evolutionary Hardware Platforms
IEEE Design & Test, vol. 39, no. 3, pp. 91–116
Effect of biologically-motivated energy constraints on liquid state machine dynamics and classification performance
Neuromorphic Computing and Engineering, vol. 2, no. 2, p. 024005
Review of spike-based neuromorphic computing for brain-inspired vision: biology, algorithms, and hardware
Journal of Electronic Imaging, vol. 31, no. 01
Expanding smart assistant accessibility through dysarthria speech-trained transformer networks
Applications of Machine Learning 2021, p. 29
Exploring CNN features in the context of adversarial robustness and human perception
Applications of Machine Learning 2021, vol. 37, p. 42
Contrastive pooling segmentation network
Applications of Machine Learning 2021, p. 15
On the Adversarial Robustness of Quantized Neural Networks
Proceedings of the 2021 Great Lakes Symposium on VLSI, pp. 189–194
Model Extraction and Adversarial Attacks on Neural Networks Using Switching Power Information
Lecture Notes in Computer Science, pp. 91–101
Exploring Energy-Accuracy Tradeoffs in AI Hardware
2020 11th International Green and Sustainable Computing Workshops (IGSC), pp. 1–7
Energy Constraints Improve Liquid State Machine Performance
International Conference on Neuromorphic Systems 2020, pp. 1–8
A neuromorphic SLAM architecture using gated-memristive synapses
Neurocomputing, vol. 381, pp. 89–104
A Segmented Attractor Network for Neuromorphic Associative Learning
Proceedings of the International Conference on Neuromorphic Systems, vol. 4, pp. 1–8
A Low-Power Domino Logic Architecture for Memristor-Based Neuromorphic Computing
Proceedings of the International Conference on Neuromorphic Systems, pp. 1–4
Exploiting Randomness in Deep Learning Algorithms
2019 International Joint Conference on Neural Networks (IJCNN), pp. 1–8
A Low-Power Domino Logic Architecture for Memristor-Based Neuromorphic\n Computing
arXiv (Cornell University), preprint
Current-Mode Memristor Crossbars for Neuromorphic Computing
Proceedings of the 7th Annual Neuro-inspired Computational Elements Workshop, pp. 1–6
An FPGA Implementation of a Time Delay Reservoir Using Stochastic Logic
ACM Journal on Emerging Technologies in Computing Systems, vol. 14, no. 4, pp. 1–15
Device solutions to scientific computing
Nature Electronics, vol. 1, no. 7, pp. 382–383
A Chaotic Logic-Based Physical Unclonable Computing System
Security Opportunities in Nano Devices and Emerging Technologies, pp. 327–342
Current-mode Memristor Crossbars for Neuromemristive Systems
arXiv (Cornell University), preprint
Design of a time delay reservoir using stochastic logic: A feasibility study
2017 International Joint Conference on Neural Networks (IJCNN), pp. 2186–2192
Design of a Time Delay Reservoir Using Stochastic Logic: A Feasibility\n Study
arXiv (Cornell University), preprint
Stochastic CBRAM-Based Neuromorphic Time Series Prediction System
ACM Journal on Emerging Technologies in Computing Systems, vol. 13, no. 3, pp. 1–14
Neuromemristive Systems: A Circuit Design Perspective
Cognitive Systems Monographs, pp. 45–64
Neuromemristive Systems: Boosting Efficiency through Brain-Inspired Computing
Computer, vol. 49, no. 10, pp. 56–64
Optimized hardware framework of MLP with random hidden layers for classification applications
SPIE Proceedings, vol. 9850, p. 985007
A design of HTM spatial pooler for face recognition using memristor-CMOS hybrid circuits
2016 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1254–1257
Neuromorphic devices and circuits
Nano-CMOS and Post-CMOS Electronics: Devices and Modelling, pp. 337–356
Invited: Towards a scalable neuromorphic hardware for classification and prediction with stochastic No-Prop algorithms
2016 17th International Symposium on Quality Electronic Design (ISQED), pp. 124–128
Design and Analysis of a Neuromemristive Reservoir Computing Architecture for Biosignal Processing
Frontiers in Neuroscience, vol. 9, p. 502
Unsupervised learning in neuromemristive systems
2015 National Aerospace and Electronics Conference (NAECON), pp. 336–338
Memristive computational architecture of an echo state network for real-time speech-emotion recognition
2015 IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA), pp. 1–5
Design and analysis of neuromemristive echo state networks with limited-precision synapses
2015 IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA), vol. 2, pp. 1–6
Comparison of Off-Chip Training Methods for Neuromemristive Systems
2015 28th International Conference on VLSI Design, pp. 99–104
Design of Neuromemristive Systems for Visual Information Processing
RIT Scholar Works (Rochester Institute of Technology)
A stochastic learning algorithm for neuromemristive systems
2014 27th IEEE International System-on-Chip Conference (SOCC), pp. 359–364
On designing circuit primitives for cortical processors with memristive hardware
2014 27th IEEE International System-on-Chip Conference (SOCC), vol. 18, pp. 371–376
Neuromemristive Extreme Learning Machines for Pattern Classification
2014 IEEE Computer Society Annual Symposium on VLSI, pp. 77–82
Heterogeneous CMOS/memristor hardware neural networks for real-time target classification
SPIE Proceedings, vol. 9119, p. 911908
A current-mode CMOS/memristor hybrid implementation of an extreme learning machine
Proceedings of the 24th edition of the great lakes symposium on VLSI, pp. 241–242
Temperature Sensing RRAM Architecture for 3-D ICs
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 22, no. 4, pp. 878–887
Memristive Reservoir Computing Architecture for Epileptic Seizure Detection
Procedia Computer Science, vol. 41, pp. 249–254
Periodic activation functions in memristor-based analog neural networks
The 2013 International Joint Conference on Neural Networks (IJCNN), pp. 1–7
Memristor-Based Neural Logic Blocks for Nonlinearly Separable Functions
IEEE Transactions on Computers, vol. 62, no. 8, pp. 1597–1606
Design of Neuromorphic Architectures with Memristors
Advances in Information Security, pp. 93–103
Lightweight energy prediction framework for solar-powered wireless sensor networks
2012 IEEE International SOC Conference, pp. 131–136
RRAM-based adaptive neural logic block for implementing non-linearly separable functions in a single layer
Proceedings of the 2012 IEEE/ACM International Symposium on Nanoscale Architectures, pp. 218–225
Design-time performance evaluation of thermal management policies for SRAM and RRAM based 3D MPSoCs
Proceedings of the great lakes symposium on VLSI, pp. 177–182
Reconfigurable Memristor Fabrics for Heterogeneous Computing
Advances in Neuromorphic Memristor Science and Applications, pp. 89–106
Towards Thermal Profiling in CMOS/Memristor Hybrid RRAM Architectures
2012 25th International Conference on VLSI Design, pp. 167–172
Reconfigurable N-level memristor memory design
The 2011 International Joint Conference on Neural Networks, pp. 3042–3048
Thermal Profiling in CMOS/Memristor Hybrid Architectures
RIT Scholar Works (Rochester Institute of Technology)
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