Reactive rejuvenation of CMOS logic paths using self-activating voltage domains. - Rizwan A. Ashraf; Ahmad Alzahrani 001; Navid Khoshavi; Ramtin Zand; Soheil Salehi; Arman Roohi; Mingjie Lin; Ronald F. DeMara (ISCAS, 2015)

Adaptive Mitigation of Radiation-Induced Errors and TDDB in Reconfigurable Logic Fabrics. - Rawad N. Al-Haddad; Rashad S. Oreifej; Ramtin Zand; Abdel Ejnioui; Ronald F. DeMara (NATW, 2015)

Scalable Adaptive Spintronic Reconfigurable Logic Using Area-Matched MTJ Design. - Ramtin Zand; Arman Roohi; Soheil Salehi; Ronald F. DeMara (IEEE Trans. Circuits Syst. II Express Briefs, 2016)

Heterogeneous Technology Configurable Fabrics for Field-Programmable Co-Design of CMOS and Spin-Based Devices. - Ronald F. DeMara; Arman Roohi; Ramtin Zand; Steven D. Pyle (ICRC, 2017)

R-DBN: A Resistive Deep Belief Network Architecture Leveraging the Intrinsic Behavior of Probabilistic Devices. - Ramtin Zand; Kerem Yunus Çamsari; Ibrahim Ahmed 002; Steven D. Pyle; Chris H. Kim; Supriyo Datta; Ronald F. DeMara (CoRR, 2017)

Heterogeneous energy-sparing reconfigurable logic: spin-based storage and CNFET-based multiplexing. - Mohan Krishna Gopi Krishna; Arman Roohi; Ramtin Zand; Ronald F. DeMara (IET Circuits Devices Syst., 2017)

Voltage-Based Concatenatable Full Adder Using Spin Hall Effect Switching. - Arman Roohi; Ramtin Zand; Deliang Fan; Ronald F. DeMara (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2017)

Energy-Efficient and Process-Variation-Resilient Write Circuit Schemes for Spin Hall Effect MRAM Device. - Ramtin Zand; Arman Roohi; Ronald F. DeMara (IEEE Trans. Very Large Scale Integr. Syst., 2017)

Logic-Encrypted Synthesis for Energy-Harvesting-Powered Spintronic-Embedded Datapath Design. - Arman Roohi; Ramtin Zand; Ronald F. DeMara (ACM Great Lakes Symposium on VLSI, 2018)

Low-Energy Deep Belief Networks Using Intrinsic Sigmoidal Spintronic-based Probabilistic Neurons. - Ramtin Zand; Kerem Yunus Çamsari; Steven D. Pyle; Ibrahim Ahmed 002; Chris H. Kim; Ronald F. DeMara (ACM Great Lakes Symposium on VLSI, 2018)

SNRA: A Spintronic Neuromorphic Reconfigurable Array for In-Circuit Training and Evaluation of Deep Belief Networks. - Ramtin Zand; Ronald F. DeMara (ICRC, 2018)

Synthesis of normally-off boolean circuits: An evolutionary optimization approach utilizing spintronic devices. - Arman Roohi; Ramtin Zand; Ronald F. DeMara (ISQED, 2018)

Survivability Modeling and Resource Planning for Self-Repairing Reconfigurable Device Fabrics. - Rashad S. Oreifej; Rawad N. Al-Haddad; Ramtin Zand; Rizwan A. Ashraf; Ronald F. DeMara (IEEE Trans. Cybern., 2018)

A Parity-Preserving Reversible QCA Gate with Self-Checking Cascadable Resiliency. - Arman Roohi; Ramtin Zand; Shaahin Angizi; Ronald F. DeMara (IEEE Trans. Emerg. Top. Comput., 2018)

HSC-FPGA. - Ramtin Zand; Ronald F. DeMara (FPGA, 2019)

Clockless Spin-based Look-Up Tables with Wide Read Margin. - Soheil Salehi; Ramtin Zand; Ronald F. DeMara (ACM Great Lakes Symposium on VLSI, 2019)

AQuRate: MRAM-based Stochastic Oscillator for Adaptive Quantization Rate Sampling of Sparse Signals. - Soheil Salehi; Ramtin Zand; Alireza Zaeemzadeh; Nazanin Rahnavard; Ronald F. DeMara (ACM Great Lakes Symposium on VLSI, 2019)

Self-Organized Sub-bank SHE-MRAM-based LLC: An energy-efficient and variation-immune read and write architecture. - Soheil Salehi; Navid Khoshavi; Ramtin Zand; Ronald F. DeMara (Integr., 2019)

Composable Probabilistic Inference Networks Using MRAM-based Stochastic Neurons. - Ramtin Zand; Kerem Yunus Çamsari; Supriyo Datta; Ronald F. DeMara (ACM J. Emerg. Technol. Comput. Syst., 2019)

MRAM-Enhanced Low Power Reconfigurable Fabric With Multi-Level Variation Tolerance. - Ramtin Zand; Ronald F. DeMara (IEEE Trans. Circuits Syst. I Regul. Pap., 2019)

TSV Extrusion Morphology Classification Using Deep Convolutional Neural Networks. - Brendan Reidy; Golareh Jalilvand; Tengfei Jiang; Ramtin Zand (ICMLA, 2020)

Electrically-Tunable Stochasticity for Spin-based Neuromorphic Circuits: Self-Adjusting to Variation. - Hossein Pourmeidani; Punyashloka Debashis; Zhihong Chen; Ronald F. DeMara; Ramtin Zand (MWSCAS, 2020)

SOT-MRAM based Sigmoidal Neuron for Neuromorphic Architectures. - Brendan Reidy; Ramtin Zand (CoRR, 2020)

A Single-Cycle MLP Classifier Using Analog MRAM-based Neurons and Synapses. - Ramtin Zand (CoRR, 2020)

Hardware-Algorithm Co-Design of a Compressed Fuzzy Active Learning Method. - Ehsan Jokar; Sajad Haghzad Klidbary; Hadis Abolfathi; Saeed Bagheri Shouraki; Ramtin Zand; Arash Ahmadi (IEEE Trans. Circuits Syst., 2020)

An Adaptive Sampling and Edge Detection Approach for Encoding Static Images for Spiking Neural Networks. - Peyton Chandarana; Junlin Ou; Ramtin Zand (IGSC (Workshops), 2021)

An In-Memory Analog Computing Co-Processor for Energy-Efficient CNN Inference on Mobile Devices. - Mohammed E. Elbtity; Abhishek Singh; Brendan Reidy; Xiaochen Guo; Ramtin Zand (ISVLSI, 2021)

Probabilistic Interpolation Recoder for Energy-Error-Product Efficient DBNs With p-Bit Devices. - Hossein Pourmeidani; Shadi Sheikhfaal; Ramtin Zand; Ronald F. DeMara (IEEE Trans. Emerg. Top. Comput., 2021)

MRAM-based Analog Sigmoid Function for In-memory Computing. - Md Hasibul Amin; Mohammed E. Elbtity; Mohammadreza Mohammadi; Ramtin Zand (ACM Great Lakes Symposium on VLSI, 2022)

Energy-Efficient Deployment of Machine Learning Workloads on Neuromorphic Hardware. - Peyton Chandarana; Mohammadreza Mohammadi; James Seekings; Ramtin Zand (IGSC, 2022)

Interconnect Parasitics and Partitioning in Fully-Analog In-Memory Computing Architectures. - Md Hasibul Amin; Mohammed E. Elbtity; Ramtin Zand (ISCAS, 2022)

Static Hand Gesture Recognition for American Sign Language using Neuromorphic Hardware. - Mohammedreza Mohammadi; Peyton Chandarana; James Seekings; Sara Hendrix; Ramtin Zand (CoRR, 2022)

A Python Framework for SPICE Circuit Simulation of In-Memory Analog Computing Circuits. - Md Hasibul Amin; Mohammed E. Elbtity; Ramtin Zand (CoRR, 2022)

Reliability-Aware Deployment of DNNs on In-Memory Analog Computing Architectures. - Md Hasibul Amin; Mohammed E. Elbtity; Ramtin Zand (CoRR, 2022)

Xbar-Partitioning: A Practical Way for Parasitics and Noise Tolerance in Analog IMC Circuits. - Md Hasibul Amin; Mohammed E. Elbtity; Ramtin Zand (IEEE J. Emerg. Sel. Topics Circuits Syst., 2022)

APTPU: Approximate Computing Based Tensor Processing Unit. - Mohammed E. Elbtity; Peyton Chandarana; Brendan Reidy; Jason Kamran Eshraghian; Ramtin Zand (IEEE Trans. Circuits Syst. I Regul. Pap., 2022)

Static hand gesture recognition for American sign language using neuromorphic hardware. - Mohammadreza Mohammadi; Peyton Chandarana; James Seekings; Sara Hendrix; Ramtin Zand (Neuromorph. Comput. Eng., 2022)

IMAC-Sim: : A Circuit-level Simulator For In-Memory Analog Computing Architectures. - Md Hasibul Amin; Mohammed E. Elbtity; Ramtin Zand (ACM Great Lakes Symposium on VLSI, 2023)

Heterogeneous Integration of In-Memory Analog Computing Architectures with Tensor Processing Units. - Mohammed E. Elbtity; Brendan Reidy; Md Hasibul Amin; Ramtin Zand (ACM Great Lakes Symposium on VLSI, 2023)

Facial Expression Recognition at the Edge: CPU vs GPU vs VPU vs TPU. - Mohammadreza Mohammadi; Heath Smith; Lareb Khan; Ramtin Zand (ACM Great Lakes Symposium on VLSI, 2023)

Caveline Detection at the Edge for Autonomous Underwater Cave Exploration and Mapping. - Mohammadreza Mohammadi; Sheng-En Huang; Titon Barua; Ioannis M. Rekleitis; Md Jahidul Islam; Ramtin Zand (ICMLA, 2023)

Realtime Facial Expression Recognition: Neuromorphic Hardware vs. Edge AI Accelerators. - Heath Smith; James Seekings; Mohammadreza Mohammadi; Ramtin Zand (ICMLA, 2023)

A Novel Stochastic LSTM Model Inspired by Quantum Machine Learning. - Joseph Lindsay; Ramtin Zand (ISQED, 2023)

Application of Machine Learning for Quality Risk Factor Analysis of Electronic Assemblies. - Brendan Reidy; David Duggan; Bernard Glasauer; Peng Su; Ramtin Zand (ISQED, 2023)

Work in Progress: Real-time Transformer Inference on Edge AI Accelerators. - Brendan Reidy; Mohammadreza Mohammadi; Mohammed E. Elbtity; Heath Smith; Ramtin Zand (RTAS, 2023)

Lightator: An Optical Near-Sensor Accelerator with Compressive Acquisition Enabling Versatile Image Processing. - Mehrdad Morsali; Brendan Reidy; Deniz Najafi; Sepehr Tabrizchi; Mohsen Imani; Mahdi Nikdast; Arman Roohi; Ramtin Zand; Shaahin Angizi (DAC, 2024)

HiRISE: High-Resolution Image Scaling for Edge ML via In-Sensor Compression and Selective ROI. - Brendan Reidy; Sepehr Tabrizchi; Mohammadreza Mohammadi; Shaahin Angizi; Arman Roohi; Ramtin Zand (DAC, 2024)

Edge-Centric Real-Time Segmentation for Autonomous Underwater Cave Exploration. - Mohammadreza Mohammadi; Adnan Abdullah; Aishneet Juneja; Ioannis M. Rekleitis; Md Jahidul Islam; Ramtin Zand (ICMLA, 2024)

AssemAI: Interpretable Image-Based Anomaly Detection for Manufacturing Pipelines. - Renjith Prasad; Chathurangi Shyalika; Fadi El Kalach; Revathy Venkataramanan; Ramtin Zand; Ramy F. Harik; Amit P. Sheth (ICMLA, 2024)

Towards Efficient Deployment of Hybrid SNNs on Neuromorphic and Edge AI Hardware. - James Seekings; Peyton Chandarana; Mahsa Ardakani; Mohammadreza Mohammadi; Ramtin Zand (ICONS, 2024)

Multi-Objective Neural Architecture Search for In-Memory Computing. - Md Hasibul Amin; Mohammadreza Mohammadi; Ramtin Zand (ISVLSI, 2024)

Flex-TPU: A Flexible TPU with Runtime Reconfigurable Dataflow Architecture. - Mohammed E. Elbtity; Peyton Chandarana; Ramtin Zand (CoRR, 2024)

HiRISE: High-Resolution Image Scaling for Edge ML via In-Sensor Compression and Selective ROI. - Brendan Reidy; Sepehr Tabrizchi; Mohamadreza Mohammadi; Shaahin Angizi; Arman Roohi; Ramtin Zand (CoRR, 2024)

Matmul or No Matmul in the Era of 1-bit LLMs. - Jinendra Malekar; Mohammed E. Elbtity; Ramtin Zand (CoRR, 2024)

XbarSim: A Decomposition-Based Memristive Crossbar Simulator. - Anzhelika Kolinko; Md Hasibul Amin; Ramtin Zand; Jason D. Bakos (CoRR, 2024)

ViTSen: Bridging Vision Transformers and Edge Computing With Advanced In/Near-Sensor Processing. - Sepehr Tabrizchi; Brendan C. Reidy; Deniz Najafi; Shaahin Angizi; Ramtin Zand; Arman Roohi (IEEE Embed. Syst. Lett., 2024)

Accelerating Hardware-Aware NAS with ML-Based Edge GPU Performance Modeling. - Aishneet Juneja; Matthew Grenier; Md Hasibul Amin; Ramtin Zand (COINS, 2025)

Multi-Modal Vision at the Edge: Toward Low-Latency Perception for Autonomous Systems. - Lily Lamb; Mohammadreza Mohammadi; Ramtin Zand (COINS, 2025)

LLMPi: Optimizing LLMs for High-Throughput on Raspberry Pi. - Mahsa Ardakani; Jinendra Malekar; Ramtin Zand (CVPR Workshops, 2025)

ResISC: Residue Number System-Based Integrated Sensing and Computing for Efficient Edge AI. - Sepehr Tabrizchi; Samin Sohrabi; Mohamadreza Mohammadi; Ramtin Zand; Shaahin Angizi; Arman Roohi (DAC, 2025)

LLM-IMC: Automating Analog In-Memory Computing Architecture Generation with Large Language Models. - Deepak Vungarala; Md Hasibul Amin; Pietro Mercati; Arman Roohi; Ramtin Zand; Shaahin Angizi (FCCM, 2025)

CrossNAS: A Cross-Layer Neural Architecture Search Framework for PIM Systems. - Md Hasibul Amin; Mohammadreza Mohammadi; Jason D. Bakos; Ramtin Zand (ACM Great Lakes Symposium on VLSI, 2025)

PixelPrune: Optimizing AIoT Vision Systems via In-Sensor Segmentation and Adaptive Data Transfer. - Mohammadreza Mohammadi; Mehrdad Morsali; Sepehr Tabrizchi; Brendan Reidy; Arman Roohi; Shaahin Angizi; Ramtin Zand (ACM Great Lakes Symposium on VLSI, 2025)

A Decomposition-Based Memristive Crossbar Solver and FPGA-Accelerated Hardware Implementation. - Suyash Vardhan Singh; Anzhelika Kolinko; Md Hasibul Amin; Ramtin Zand; Jason D. Bakos (ACM Great Lakes Symposium on VLSI, 2025)

Magnetic In/Near-Sensor Architectures: From Raw Sensing to Smart Processing. - Sepehr Tabrizchi; Ali Shafiee Sarvestani; Md Hasibul Amin; Deniz Najafi; Shaahin Angizi; Ramtin Zand; Arman Roohi (ACM Great Lakes Symposium on VLSI, 2025)

From Prompt to Accelerator: A Perspective on LLM-Based Analog In-Memory Accelerator Design Automation. - Deepak Vungarala; Md Hasibul Amin; Arman Roohi; Arnob Ghosh; Ramtin Zand; Shaahin Angizi (ACM Great Lakes Symposium on VLSI, 2025)

NSF-MAP: Neurosymbolic Multimodal Fusion for Robust and Interpretable Anomaly Prediction in Assembly Pipelines. - Chathurangi Shyalika; Renjith Prasad; Fadi El Kalach; Revathy Venkataramanan; Ramtin Zand; Ramy F. Harik; Amit P. Sheth (IJCAI, 2025)

From Pixels to Reasoning: A Cross-Layer Photonic Design for Edge Visual Intelligence. - Deniz Najafi; Mehrdad Morsali; Hamza Errahmouni Barkam; Brendan Reidy; Sepehr Tabrizchi; Arman Roohi; Mahdi Nikdast; Ramtin Zand; Mohsen Imani; Shaahin Angizi (ISVLSI, 2025)

Amdahl's Law for LLMs: A Throughput-Centric Analysis of Extreme LLM Quantization. - Jinendra Malekar; Ramtin Zand (Trans. Mach. Learn. Res., 2025)

Learnable Sparsification of Die-to-Die Communication via Spike-Based Encoding. - Joshua Nardone; Ruijie Zhu 003; Joseph Callenes; Mohammed E. Elbtity; Ramtin Zand; Jason Eshraghian (CoRR, 2025)

TPU-Gen: LLM-Driven Custom Tensor Processing Unit Generator. - Deepak Vungarala; Mohammed E. Elbtity; Sumiya Syed; Sakila Alam; Kartik Pandit; Arnob Ghosh; Ramtin Zand; Shaahin Angizi (CoRR, 2025)

LIMCA: LLM for Automating Analog In-Memory Computing Architecture Design Exploration. - Deepak Vungarala; Md Hasibul Amin; Pietro Mercati; Arnob Ghosh; Arman Roohi; Ramtin Zand; Shaahin Angizi (CoRR, 2025)

PIM-LLM: A High-Throughput Hybrid PIM Architecture for 1-bit LLMs. - Jinendra Malekar; Peyton Chandarana; Md Hasibul Amin; Mohammed E. Elbtity; Ramtin Zand (CoRR, 2025)

FedChip: Federated LLM for Artificial Intelligence Accelerator Chip Design. - Mahmoud Nazzal; Khoa Nguyen; Deepak Vungarala; Ramtin Zand; Shaahin Angizi; NhatHai Phan; Abdallah Khreishah (CoRR, 2025)