 | Up a level |
Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
Use the mouse wheel or scroll gestures to zoom into the graph.
You can click on the nodes and links to highlight them and move the nodes by dragging them.
Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Vaziri, M., Vakili, S., & Langlois, J. M. P. (2024, July). Accuracy-Aware Low-Complexity Deep Learning Models for Automatic Modulation Recognition [Paper]. International Conference on Computing, Internet of Things and Microwave Systems (ICCIMS 2024), Gatineau, QC, Canada. External link
Vakili, S., Vaziri, M., Zarei, A., & Langlois, J. M. P. (2024). DyRecMul: Fast and Low-Cost Approximate Multiplier for FPGAs using Dynamic Reconfiguration. ACM Transactions on Reconfigurable Technology and Systems. External link
Vaziri, M., Vakili, S., Rahimifar, M. M., & Langlois, J. M. P. (2024, September). HENNC: Hardware Engine for Artificial Neural Network-Based Chaotic Oscillators [Paper]. IEEE High Performance Extreme Computing Conference (HPEC 2024), Wakefield, MA, USA. External link
Ahmadi, M., Vakili, S., & Langlois, J. M. P. (2021). CARLA: A Convolution Accelerator with a Reconfigurable and Low-Energy Architecture. IEEE Transactions on Circuits and Systems I: Regular Papers, 68(8), 3184-3196. External link
Ahmadi, M., Vakili, S., & Langlois, J. M. P. (2020, June). An energy-efficient accelerator architecture with serial accumulation dataflow for deep CNNs [Paper]. 18th IEEE International New Circuits and Systems Conference (NEWCAS 2020), Montréal, Québec. External link
Ahmadi, M., Vakili, S., & Langlois, J. M. P. (2020, June). Heterogeneous distributed SRAM configuration for energy-efficient deep CNN accelerators [Paper]. 18th IEEE International New Circuits and Systems Conference (NEWCAS 2020), Montréal, Québec. External link
Vakili, S., Langlois, J. M. P., Savaria, Y., & Manjikian, N. (2018). Enhanced Bloom filter utilisation scheme for string matching using a splitting approach. IET Communications, 12(7), 868-875. External link
Ahmadi, M., Vakili, S., Langlois, J. M. P., & Gross, W. J. (2018, June). Power Reduction in CNN Pooling Layers with a Preliminary Partial Computation Strategy [Paper]. 16th IEEE International New Circuits and Systems Conference (NEWCAS 2018), Montréal, Québec. External link
Sarbishei, I., Vakili, S., Langlois, J. M. P., & Savaria, Y. (2017, May). Scalable memory-less architecture for string matching with FPGAs [Paper]. IEEE International Symposium on Circuits and Systems (ISCAS 2017), Baltimore, MD. External link
Vakili, S., Langlois, J. M. P., & Bois, G. (2016). Accuracy-aware processor customisation for fixed-point arithmetic. IET Computers and Digital Techniques, 10(1), 1-11. External link
Vakili, S., Langlois, J. M. P., Boughzala, B., & Savaria, Y. (2016, March). Memory-efficient string matching for intrusion detection systems using a high-precision pattern grouping algorithm [Paper]. 12th ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS 2016), Santa Clara, California. External link
Vakili, S., Langlois, J. M. P., & Bois, G. (2015, June). Designing Customized Microprocessors for Fixed-Point Computation [Paper]. NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2015), Montréal, Québec. External link
Vakili, S. (2014). Accuracy-Guaranteed Fixed-Point Optimization in Hardware Synthesis and Processor Customization [Ph.D. thesis, École Polytechnique de Montréal]. Available
Vakili, S., Langlois, J. M. P., & Bois, G. (2013). Customised soft processor design: A compromise between architecture description languages and parameterisable processors. IET Computers and Digital Techniques, 7(3), 122-131. External link
Vakili, S., Langlois, J. M. P., & Bois, G. (2013). Enhanced precision analysis for accuracy-aware bit-width optimization using affine arithmetic. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 32(12), 1853-1865. External link
Vakili, S., Langlois, J. M. P., & Bois, G. (2013, May). Finite-precision error modeling using affine arithmetic [Paper]. 38th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), Vancouver, BC, Canada. External link
Vakili, S., Gil, D. C., Langlois, J. M. P., Savaria, Y., & Bois, G. (2011, December). Customized embedded processor design for global photographic tone mapping [Paper]. 18th IEEE International Conference on Electronics, Circuits and Systems (ICECS 2011), Beirut, Lebanon. External link
