activity
20242026
most citedOn-Chip Learning with Memristor-Based Neural Networks: Assessing Accuracy and Efficiency Under Device Variations, Conductance Errors, and Input Noise

4 citations · 7 across the 11 of their papers we have counts for

collaborators

16 papers

cs.CV2026

IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0

Mohsen Asghari Ilani, Yaser Mike Banad

This paper presents an IoT-enhanced deep learning framework for automated crack detection in Additive Manufacturing (AM) surfaces using convolutional neural networks (CNNs). By int…

q-bio.NC2026

A Unified Phase-native Computational Principle Governs Hippocampal Spike Timing and Neural Coding

Reza Ahmadvand, Sara Safura Sharif, Yaser Mike Banad

Hippocampal neurons exhibit precise phase locking to network oscillations, but the computational principle governing this temporal precision is still unclear. Neural information is…

cs.AR2026

Toward Digital Twins in 3D IC Packaging: A Critical Review of Physics, Data, and Hybrid Architectures

Gourab Datta, Sarah Safura Sharif, Yaser Mike Banad

Three-dimensional integrated circuit (3D IC) pack-aging and heterogeneous integration have emerged as central pillars of contemporary semiconductor scaling. Yet, the multi-physics…

cs.RO2026

Event-based Heterogeneous Information Processing for Online Vision-based Obstacle Detection and Localization

Reza Ahmadvand, Sarah Safura Sharif, Yaser Mike Banad

This paper introduces a novel framework for robotic vision-based navigation that integrates Hybrid Neural Networks (HNNs) with Spiking Neural Network (SNN)-based filtering to enhan…

cs.LG2026

Machine learning model for predicting surface wettability in laser-textured metal alloys

Mohammad Mohammadzadeh Sanandaji, Danial Ebrahimzadeh, Mohammad Ikram Haider +3

Surface wettability, governed by both topography and chemistry, plays a critical role in applications such as heat transfer, lubrication, microfluidics, and surface coatings. In th…

physics.optics2025

XG-Attention-WGAN PIC: Utilizing XGboost-Attention-WGAN for Photonics Integrated Circuit Design

Mahmood Hasani, Atena Shircharandabi, Masiha Rabiei +4

Photonic Integrated Circuits (PICs) are fundamental for optical computing, communication, quantum information processing, and precision sensing. However, traditional numerical simu…