| Fast data delivery for many-core processors M Bakhshalipour, P Lotfi-Kamran, A Mazloumi, F Samandi, ... IEEE Transactions on Computers 67 (10), 1416-1429, 2018 | 39 | 2018 |
| Detection and Multi-Class Classification of Intrusion in Software Defined Networks Using Stacked Auto-Encoders and CICIDS2017 Dataset P Choobdar, M Naderan, M Naderan Wireless Personal Communications 123 (1), 437-471, 2022 | 35 | 2022 |
| Efficient and safe path planning for a mobile robot using genetic algorithm M Naderan-Tahan, MT Manzuri-Shalmani 2009 IEEE Congress on Evolutionary Computation, 2091-2097, 2009 | 33 | 2009 |
| A Semi-supervised Learning Method for Fake News Detection in Social Media R Mansouri, M Naderan-Tahan, MJ Rashti 2020 28th Iranian Conference on Electrical Engineering (ICEE), 1-5, 2020 | 25 | 2020 |
| SAC: Sharing-Aware Caching in Multi-Chip GPUs S Zhang, M Naderan-Tahan, M Jahre, L Eeckhout Proceedings of the 50th Annual International Symposium on Computer …, 2023 | 8 | 2023 |
| Photonic network-on-wafer for multichiplet GPUs S Zhang, Z Zhang, M Naderan-Tahan, H SeyyedAghaei, X Wang, H Li, ... IEEE Micro 43 (2), 86-95, 2023 | 7 | 2023 |
| Cactus: Top-Down GPU-Compute Benchmarking using Real-Life Applications M Naderan-Tahan, L Eeckhout 2021 IEEE International Symposium on Workload Characterization (IISWC), 176-188, 2021 | 7 | 2021 |
| Sieve: Stratified GPU-Compute Workload Sampling M Naderan-Tahan, H SeyyedAghaei, L Eeckhout IEEE International Symposium on Performance Analysis of Systems and Software …, 2023 | 6 | 2023 |
| Balancing Performance Against Cost and Sustainability in Multi-Chip-Module GPUs S Zhang, M Naderan-Tahan, M Jahre, L Eeckhout IEEE Computer Architecture Letters, 2023 | 4 | 2023 |
| Adaptive prefetching using global history buffer in multicore processors M Naderan-Tahan, H Sarbazi-Azad The Journal of Supercomputing 68, 1302-1320, 2014 | 3 | 2014 |
| Planning a robust path for mobile robots in dynamic environment M Naderan-Tahan, MT Manzuri-Shalmani 2009 14th International CSI Computer Conference, 470-476, 2009 | 3 | 2009 |
| A real-time Clearance-Based approach for motion planning of mobile robots MN Tahan, R Iraji, MT Manzuri-Shalmani 2008 7th IEEE International Conference on Cognitive Informatics, 394-401, 2008 | 3 | 2008 |
| Why Does Data Prefetching Not Work for Modern Workloads? M Naderan-Tahan, H Sarbazi-Azad The Computer Journal 59 (2), 244-259, 2016 | 2 | 2016 |
| GPU Scale-Model Simulation H SeyyedAghaei, M Naderan-Tahan, L Eeckhout 2024 IEEE International Symposium on High-Performance Computer Architecture …, 2024 | 1 | 2024 |
| Characterizing Multi-Chip GPU Data Sharing S Zhang, M Naderan-Tahan, M Jahre, L Eeckhout ACM Transactions on Architecture and Code Optimization, 2023 | | 2023 |
| Domino Cache: An Energy-Efficient Data Cache for Modern Applications M Naderan-Tahan, H Sarbazi-Azad ACM Transactions on Design Automation of Electronic Systems (TODAES) 23 (3 …, 2018 | | 2018 |
| A Deep Learning Approach based on Auto Encoders for Intrusion Detection Systems in Computer Networks P Choobdar, M Naderan, M Naderan | | |
| Fast Data Delivery for Many-Core Processors M Naderan-Tahan, M Modarressi, H Sarbazi-Azad | | |
Lieven EeckhoutProfessor of Computer Science and Engineering, Ghent UniversityVerified email at ugent.be