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)

SPRITZ-1.5C: Employing Deep Ensemble Learning for Improving the Security of Computer Networks against Adversarial Attacks. - Ehsan Nowroozi; Mohammadreza Mohammadi; Erkay Savas; Mauro Conti; Yassine Mekdad (CoRR, 2022)

Defeating Adversarial Attacks Againt Adversarial attacks in Network Security. - Ehsan Nowroozi; Mohammadreza Mohammadi; Mauro Conti; Pargol Golmohammadi; Yassine Mekdad; Arif Selcuk Uluagac (Zenodo, 2022)

Pristine and Malicious URLs. - Ehsan Nowroozi; Abhishek; Mohammadreza Mohammadi; Mauro Conti (IEEE DataPort, 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)

Privacy-preserving Federated Learning System for Fatigue Detection. - Mohammadreza Mohammadi; Roberto Allocca; David Eklund; Rakesh Shrestha; Sima Sinaei (CSR, 2023)

Balancing Privacy and Accuracy in Federated Learning for Speech Emotion Recognition. - Samaneh Mohammadi; Mohammadreza Mohammadi; Sima Sinaei; Ali Balador; Ehsan Nowroozi; Francesco Flammini; Mauro Conti (FedCSIS, 2023)

Hyperparameters Optimization for Federated Learning System: Speech Emotion Recognition Case Study. - Kateryna Mishchenko; Samaneh Mohammadi; Mohammadreza Mohammadi; Sima Sinaei (FMEC, 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)

Anomaly Detection Using LSTM-Autoencoder in Smart Grid: A Federated Learning Approach. - Mohammadreza Mohammadi; Rakesh Shrestha; Sima Sinaei; Alberto Salcines; David Pampliega; Raul Clemente; Ana Lourdes Sanz (ICCBDC, 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)

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

An Unsupervised Learning Approach for Wayside Train Wheel Flat Detection. - Mohammadreza Mohammadi; Araliya Mosleh; Cecília Vale; Diogo Ribeiro 001; Pedro Aires Montenegro; Andreia Meixedo (Sensors, 2023)

An Adversarial Attack Analysis on Malicious Advertisement URL Detection Framework. - Ehsan Nowroozi; Abhishek; Mohammadreza Mohammadi; Mauro Conti (IEEE Trans. Netw. Serv. Manag., 2023)

Employing Deep Ensemble Learning for Improving the Security of Computer Networks Against Adversarial Attacks. - Ehsan Nowroozi; Mohammadreza Mohammadi; Erkay Savas; Yassine Mekdad; Mauro Conti (IEEE Trans. Netw. Serv. Manag., 2023)

Improving transfer entropy and partial transfer entropy for relative detection of effective connectivity strength between time series. - Ali Ekhlasi; Ali Motie Nasrabadi; Mohammadreza Mohammadi (Commun. Nonlinear Sci. Numer. Simul., 2023)

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)

PRIV-DRIVE: Privacy-Ensured Federated Learning using Homomorphic Encryption for Driver Fatigue Detection. - Sima Sinaei; Mohammadreza Mohammadi; Rakesh Shrestha; Mina Alibeigi; David Eklund (DSD, 2024)

Integrating Federated Learning and Differential Privacy for Secure Anomaly Detection in Smart Grids. - Mohammadreza Mohammadi; Rakesh Shrestha; Sima Sinaei (ICCBDC, 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)

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)

An explainable machine learning-based approach for analyzing customers' online data to identify the importance of product attributes. - Aigin Karimzadeh; Amir Zakery; Mohammadreza Mohammadi; Ali Yavari (CoRR, 2024)

Anomaly detection based on LSTM and autoencoders using federated learning in smart electric grid. - Rakesh Shrestha; Mohammadreza Mohammadi; Sima Sinaei; Alberto Salcines; David Pampliega; Raul Clemente; Ana Lourdes Sanz; Ehsan Nowroozi; Anders Lindgren (J. Parallel Distributed Comput., 2024)

Resisting Deep Learning Models Against Adversarial Attack Transferability via Feature Randomization. - Ehsan Nowroozi; Mohammadreza Mohammadi; Pargol Golmohammadi; Yassine Mekdad; Mauro Conti; A. Selcuk Uluagac (IEEE Trans. Serv. Comput., 2024)

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 Survey on Privacy and Security in Distributed Cloud Computing: Exploring Federated Learning and Beyond. - Ahmad Rahdari; Elham Keshavarz; Ehsan Nowroozi; Rahim Taheri; Mehrdad Hajizadeh; Mohammadreza Mohammadi; Sima Sinaei; Thomas Bauschert (IEEE Open J. Commun. Soc., 2025)