Ebrahim Farahmand

According to our database, Ebrahim Farahmand authored at least 14 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Robust DCNN: The impact of approximate multipliers in defending against adversarial attacks.

Mohammad Javad Askarizadeh, Jorge Castro-Godínez, Ebrahim Farahmand, Ali Mahani, Laura Cabrera Quiros, Carlos Salazar-García

Future Gener. Comput. Syst., 2026

scaleTRIM: Scalable TRuncation-Based Integer Approximate Multiplier With Linearization and Compensation.

Ebrahim Farahmand, Mohammad Javad Askarizadeh, Ali Mahani, Behnam Ghavami, Hassan Ghasemzadeh, Muhammad Abdullah Hanif, Muhammad Shafique

IEEE Access, 2026

2025

GluMind: Multimodal Parallel Attention and Knowledge Retention for Robust Cross-Population Blood Glucose Forecasting.

Ebrahim Farahmand, Reza Rahimi Azghan, Nooshin Taheri-Chatrudi, Velarie Yaa Ansu-Baidoo, Eric Kim, Gautham Krishna Gudur, Mohit Malu, Owen Krueger, Edison Thomaz, Giulia Pedrielli, Pavan K. Turaga, Hassan Ghasemzadeh

CoRR, September, 2025

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset.

Ebrahim Farahmand, Reza Rahimi Azghan, Nooshin Taheri-Chatrudi, Eric Kim, Gautham Krishna Gudur, Edison Thomaz, Giulia Pedrielli, Pavan K. Turaga, Hassan Ghasemzadeh

CoRR, February, 2025

Time-Aware Cross-Attention for Multi-Modal Sensor-Based Blood Glucose Forecasting.

Aashritha Machiraju, Ebrahim Farahmand, Shovito Barua Soumma, Asiful Arefeen, Carol Johnston, Hassan Ghasemzadeh

Proceedings of the 21st IEEE International Conference on Body Sensor Networks, 2025

2024

Hybrid Attention Model Using Feature Decomposition and Knowledge Distillation for Glucose Forecasting.

Ebrahim Farahmand, Shovito Barua Soumma, Nooshin Taheri-Chatrudi, Hassan Ghasemzadeh

CoRR, 2024

Exploring DNN Robustness Against Adversarial Attacks Using Approximate Multipliers.

Mohammad Javad Askarizadeh, Ebrahim Farahmand, Jorge Castro-Godínez, Ali Mahani, Laura Cabrera Quiros, Carlos Salazar-Garcia

CoRR, 2024

An Edge-Based WiFi Fingerprinting Indoor Localization Using Convolutional Neural Network and Convolutional Auto-Encoder.

Amin Kargar-Barzi, Ebrahim Farahmand, Nooshin Taheri-Chatrudi, Ali Mahani, Muhammad Shafique

IEEE Access, 2024

2023

Design and Analysis of High Performance Heterogeneous Block-based Approximate Adders.

Ebrahim Farahmand, Ali Mahani, Muhammad Abdullah Hanif, Muhammad Shafique

ACM Trans. Embed. Comput. Syst., November, 2023

CAE-CNNLoc: An Edge-based WiFi Fingerprinting Indoor Localization Using Convolutional Neural Network and Convolutional Auto-Encoder.

Amin Kargar-Barzi, Ebrahim Farahmand, Ali Mahani, Muhammad Shafique

CoRR, 2023

scaleTRIM: Scalable TRuncation-Based Integer Approximate Multiplier with Linearization and Compensation.

Ebrahim Farahmand, Ali Mahani, Behnam Ghavami, Muhammad Abdullah Hanif, Muhammad Shafique

CoRR, 2023

2021

High Performance and Optimal Configuration of Accurate Heterogeneous Block-Based Approximate Adder.

Ebrahim Farahmand, Ali Mahani, Muhammad Abdullah Hanif, Muhammad Shafique

CoRR, 2021

2020

A Novel Energy-Efficient Clustering Protocol Using Two-Stage Genetic Algorithm for Improving the Lifetime of Wireless Sensor Networks.

Ali Mahani, Ebrahim Farahmand, Saeide Sheikhpour, Nooshin Taheri-Chatrudi

Int. J. Comput. Intell. Appl., 2020

2017

Availability Improvement Method for Repairable Systems Using Modified Ant Colony Optimisation.

Ali Mahani, Ebrahim Farahmand, Saeide Sheikhpour, Nooshin Taheri

Int. J. Comput. Intell. Appl., 2017