11 citations · 24 across the 18 of their papers we have counts for
20 papers
PICasso: An AI-Enabled Design Framework for Autonomous Optimization of Silicon Photonic Devices
Deepak Vungarala, Deniz Najafi, Abdulrahman Aljoudi +6
We present PICasso, an AI-assisted framework for automated synthesis, verification, and optimization of photonic integrated circuits (PICs) from natural-language specifications. PI…
Light-Bound Transformers: Hardware-Anchored Robustness for Silicon-Photonic Computer Vision Systems
Xuming Chen, Deniz Najafi, Chengwei Zhou +6
Deploying Vision Transformers (ViTs) on near-sensor analog accelerators demands training pipelines that are explicitly aligned with device-level noise and energy constraints. We in…
GLANCE: Gaze-Led Attention Network for Compressed Edge-inference
Neeraj Solanki, Hong Ding, Sepehr Tabrizchi +4
Real-time object detection in AR/VR systems faces critical computational constraints, requiring sub-10\,ms latency within tight power budgets. Inspired by biological foveal vision,…
NeuroShield: A Neuro-Symbolic Framework for Adversarial Robustness
Ali Shafiee Sarvestani, Jason Schmidt, Arman Roohi
Adversarial vulnerability and lack of interpretability are critical limitations of deep neural networks, especially in safety-sensitive settings such as autonomous driving. We intr…
LIMCA: LLM for Automating Analog In-Memory Computing Architecture Design Exploration
Deepak Vungarala, Md Hasibul Amin, Pietro Mercati +5
Resistive crossbars enabling analog In-Memory Computing (IMC) have emerged as a promising architecture for Deep Neural Network (DNN) acceleration, offering high memory bandwidth an…
ATM-Net: Adaptive Termination and Multi-Precision Neural Networks for Energy-Harvested Edge Intelligence
Neeraj Solanki, Sepehr Tabrizchi, Samin Sohrabi +2
ATM-Net is a novel neural network architecture tailored for energy-harvested IoT devices, integrating adaptive termination points with multi-precision computing. It dynamically adj…