Omid Kavehei

Publications

• A Physical Unclonable Function with Redox-based Nanoionic Resistive Memory
• Retinal Implants: Diamond Devices for High Acuity Prosthetic Vision (Adv. Biosys. 1-2/2017)
• Utilizing I-V non-linearity and analog state variations in ReRAM-based security primitives
• Novel Electrode Architecture for Subgaleal Electroencephalography: A Feasibility Study
• TSD: Transformers for Seizure Detection
• Epileptic Seizure Forecasting With Generative Adversarial Networks
• Semiconducting electrodes for neural interfacing: a review
• Epileptic Seizure Classification With Symmetric and Hybrid Bilinear Models
• Ensemble Approach on Deep and Handcrafted Features for Neonatal Bowel Sound Detection
• A liquid metal reaction environment for the room-temperature synthesis of atomically thin metal oxides.
• Wafer-scale two-dimensional semiconductors from printed oxide skin of liquid metals.
• SecuCode: Intrinsic PUF Entangled Secure Wireless Code Dissemination for Computational RFID Devices
• Neuromorphic deep spiking neural networks for seizure detection
• Deep learning distinguishes focal epilepsy groups using connectomes: Feasibility and clinical implications
• 70 years of bilirubin sensing: towards the point-of-care bilirubin monitoring in cirrhosis and hyperbilirubinemia
• A Silk Fibroin Bio-Transient Solution Processable Memristor
• Hardware-intrinsic security primitives enabled by analogue state and nonlinear conductance variations in integrated memristors
• Neonatal Bowel Sound Detection Using Convolutional Neural Network and Laplace Hidden Semi-Markov Model
• A PUF sensor: Securing physical measurements
• Weak self-supervised learning for seizure forecasting: a feasibility study
• Research priorities for COVID-19 sensor technology
• AFExNet: An Adversarial Autoencoder for Differentiating Breast Cancer Sub-Types and Extracting Biologically Relevant Genes
• Continental generalization of a human-in-the-loop AI system for clinical seizure recognition
• Structure-Function Coupling Reveals Seizure Onset Connectivity Patterns
• Low Precision Electroencephalogram for Seizure Detection with Convolutional Neural Network
• Research priorities for COVID-19 sensor technology
• Predictive Analysis of 3D ReRAM-based PUF for Securing the Internet of Things
• Towards a Low-Power, Minimally-Invasive Nerve Regeneration
• Time and rate dependent synaptic learning in neuro-mimicking resistive memories
• Semi-supervised Seizure Prediction with Generative Adversarial Networks
• Diamond Devices for High Acuity Prosthetic Vision (vol 1, 1600003, 2017)
• Asynchronous 2-Phase Level-Encoded Convention Logic (LCL)
• Extended Boolean algebra for asynchronous quasi-delay-insensitive logic
• Hash Functions and Benchmarks for Resource Constrained Passive Devices: A Preliminary Study
• Nano-Intrinsic True Random Number Generation: A Device to Data Study
• Nonlinear retinal response modeling for future neuromorphic instrumentation
• A compact QRS detection system based on 0.79 mu W analog CMOS energy-of-derivative circuit
• Novel electrode architecture for subgaleal electroencephalography: a feasibility study
• A Multimodal AI System for Out-of-Distribution Generalization of Seizure Identification
• Self-Organized Nanostructure Modified Microelectrode for Sensitive Electrochemical Glutamate Detection in Stem Cells-Derived Brain Organoids
• Convolutional neural networks for seizure prediction using intracranial and scalp electroencephalogram
• Machine Learning Cryptanalysis of a Quantum Random Number Generator
• Tuning of Plasmonic Resonances in the Near Infrared Spectrum Using a Double Coaxial Aperture Array
• Integer Convolutional Neural Network for Seizure Detection
• Opportunities for Electroceuticals in Epilepsy
• Experimental Demonstrations of Security Primitives With Nonvolatile Memories
• Miniature power and data transceiver based on multimodal operation of a single photovoltaic device
• Differences in Power Spectral Densities and Phase Quantities Due to Processing of EEG Signals
• Continental generalization of an AI system for clinical seizure recognition
• A multimodal AI system for out-of-distribution generalization of seizure detection
• A Complete and Highly Flexible 256-Electrode Retinal Prosthesis Chip
• Triplet-based spike-timing dependent plasticity in silicon
• Complementary resistive switch-based associative memory capable of fully parallel search for minimum Hamming distance
• Pattern matching and classification based on an associative memory architecture using CRS
• An experimental associative capacitive network based on complementary resistive switches for memory-intensive computing
• Supervised learning in automatic channel selection for epileptic seizure detection
• Live Demonstration: High Fill Factor CIS based on Single Inverter Architecture
• Fabrication and Modeling of Ag/TiO2/ITO Memristor
• [Correction] Wafer-scale two-dimensional semiconductors from printed oxide skin of liquid metals (vol 8, 14482, 2017)
• Emergence of Competitive Control in a Memristor-Based Neuromorphic Circuit
• Pattern Matching and Classification based on an Associative Memory Architecture using CRS
• A Flexible Biphasic Pulse Generating and Accurate Charge Balancing Stimulator with a 1 mu W Neural Recording Amplifier
• Highly Scalable Neuromorphic Hardware with 1-bit Stochastic nano-Synapses
• Nanosession: Logic Devices and Circuit Design
• Efficient reverse converter designs for the new 4-moduli sets {2 n-1, 2n, 2n + 1, 22n + 1-1} and {2n-1, 2n + 1, 22n, 22n +1} based on new CRTs
• Memristive crypto primitive for building highly secure physical unclonable functions
• Guest Editorial Solid-state Memristive Devices and Systems
• Donor-induced performance tuning of amorphous SrTiO3 memristive nanodevices: Multistate resistive switching and mechanical tunability
• Highly scalable neuromorphic hardware with 1-bit stochastic nano-synapses
• Live demonstration: An associative capacitive network based on nanoscale complementary resistive switches
• High fill factor low-voltage CMOS image sensor based on time-to-threshold PWM VLSI architecture
• A complete 256-electrode retinal prosthesis chip
• Multiprotocol-induced plasticity in artificial synapses
• A charge-balanced 4-wire interface for the interconnections of biomedical implants
• A flexible biphasic pulse generating and accurate charge balancing stimulator with a 1μW neural recording amplifier
• An associative capacitive network based on nanoscale complementary resistive switches for memory-intensive computing
• A pulse-frequency modulation sensor using memristive-based inhibitory interconnections
• Integrated memristor-MOS (M2) sensor for basic pattern matching applications.
• A precise charge balancing and compliance voltage monitoring stimulator front-end for 1024-electrodes retinal prosthesis
• A precise charge balancing and compliance voltage monitoring stimulator front-end for 1024-electrodes retinal prosthesis.
• Live demonstration: High fill factor CIS based on single inverter architecture
• Emergence of competitive control in a memristor-based neuromorphic circuit
• Memristive device fundamentals and modeling: Applications to circuits and systems simulation
• An analytical approach for memristive nanoarchitectures
• Memristor-based synaptic networks and logical operations using in-situ computing
• Novel VLSI implementation for triplet-based spike-timing dependent plasticity
• Fabrication and modeling of Ag/TiO2/ITO memristor
• Memristor MOS content addressable memory (MCAM): Hybrid architecture for future high performance search engines
• High-speed full adder based on minority function and bridge style for nanoscale
• 3-D system-on-System (SoS) biomedical-Imaging architecture for health-Care applications
• Novel direct designs for 3-input XOR function for low-power and high-speed applications
• Read operation performance of large selectorless cross-point array with self-rectifying memristive device
• Obfuscated challenge-response: A secure lightweight authentication mechanism for PUF-based pervasive devices
• Emerging Physical Unclonable Functions with Nanotechnology
• Accurate charge transport model for nanoionic memristive devices
• Memristive in Situ Computing
• mrPUF: A Novel Memristive Device Based Physical Unclonable Function
• Microstructure and dynamics of vacancy-induced nanofilamentary switching network in donor doped SrTiO3−x memristors
• Transparent amorphous strontium titanate resistive memories with transient photo-response
• Diamond Devices for High Acuity Prosthetic Vision
• Multiple-valued Interconnection Network
• A novel DCVS tree reduction algorithm
• A new design for 7:2 compressors
• The fourth element: Insights into the memristor
• The fourth element: Characteristics, modelling and electromagnetic Theory of the memristor
• Maximally redundant high-radix signed-digit adder: New algorithm and implementation
• A novel low-power full-adder cell with new technique in designing logical gates based on static CMOS inverter
• A novel low-power full-adder cell for low voltage
• High performance bridge style full adder structure
• Design of robust and high-performance 1-bit CMOS full adder for nanometer design
• Low-power and high-performance 1-bit CMOS full-adder cell
• A novel CMOS full adder
• A new design for 7 : 2 compressors
• Multiple-valued interconnection network
• A novel DCVS tree reduction algorithm
• High-speed arithmetic algorithms for multiple-valued logics in mixed-mode
• Novel architecture for IEEE-754 standard
• A Novel Design for Quantum-dot Cellular Automata Cells and Full Adders
• Minimization of Multiple-Valued Decision Diagrams Based on Matrix Computation
• A miniaturized and low-energy subcutaneous optical telemetry module for neurotechnology
• Seizure detection with reduced electroencephalogram channels: research trends and outlook
• A Non-Newtonian liquid metal enabled enhanced electrography
• BioSignal Copilot: Leveraging the power of LLMs in drafting reports for biomedical signals
• S4D-ECG: A shallow state-of-the-art model for cardiac arrhythmia classification
• Generalization Challenges in ECG Deep Learning: Insights from Dataset Characteristics and Attention Mechanism
• On-device edge-learning for cardiac abnormality detection using a bio-inspired and spiking shallow network
• Cardiac abnormality detection with a tiny diagonal state space model based on sequential liquid neural processing unit
• Biological plausible algorithm for seizure detection: Toward AI-enabled electroceuticals at the edge
• Cell detection with convolutional spiking neural network for neuromorphic cytometry
• Tiny dLIF: A Dendritic Spiking Neural Network Enabling a Time-Domain Energy-Efficient Seizure Detection System
• Metaplastic-EEG: Continuous Training on Brain-Signals
• Generalization challenges in electrocardiogram deep learning: insights from dataset characteristics and attention mechanism
• A Non-Invasive and Non-Contact Jugular Venous Pulse Measurement: A Feasibility Study
• KAN-EEG: Towards Replacing Backbone-MLP for an Effective Seizure Detection System
• Neuromorphic neuromodulation: Towards the next generation of closed-loop neurostimulation
• A leadless power transfer and wireless telemetry solutions for an endovascular electrocorticography
• Video Samples
• Video Samples
• Neuromorphic Cell Dataset
• Neuromorphic Cell Dataset
• Neuromorphic Imaging Cytometry on Human Blood Cells
• Advancing Privacy-Aware Machine Learning on Sensitive Data via Edge-Based Continual μ-Training for Personalized Large Models
• Efficient and Secure μ-Training and μ-Fine-Tuning for TinyML Optimization and Personalization at the Edge
• Liquid-Dendrite Spiking Neural Network for Edge Devices: A 130 K-Parameter, 535 KB Model for Time-Domain Epileptic Seizure Detection
• KAN–EEG: towards replacing backbone–MLP for an effective seizure detection system
• Tiny dLIF: A dendritic spiking neural network enabling a time-domain energy-efficient seizure detection system.
• A Wireless Power Transfer System for Leadless Endovascular Electrocorticography
• Neuromorphic imaging cytometry on human blood cells