Elham Abbasi

dblp:132/2494 · DBLP profile ↗
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6ranked-venue papers
2as first author
4since 2021 · last 2025
—ORCID · conflict

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3 · 2 first-author · 1 since 2021Systems, architecture and hardware · 3 · 3 since 2021
YearPublicationVenuePosition
2025 Advancing cloud virtualization: a comprehensive survey on integrating IoT, Edge, and Fog computing with FaaS for heterogeneous smart environments
Mohammad Mahdi Ghaseminya, Elahe Eslami, Seyed Abolfazl Shahzadeh Fazeli, Jamshid Abouei, Elham Abbasi, Seyed-Mehdi Karbassi
J. Supercomput.5
2025 Fogfaas: providing serverless computing simulation for iFogSim and edge cloud
Mohammad Mahdi Ghaseminya, Seyed Abolfazl Shahzadeh Fazeli, Jamshid Abouei, Elham Abbasi
J. Supercomput.4
2024 Unrolled, Pipelined, and Stage-Folded Architectures for Encoding of Multi-Kernel Polar Codes
abstract
Over the past decade, polar codes have received significant attraction and have been selected as the coding method for the control channel in fifth-generation (5G) wireless communication systems. However, conventional polar codes are reliant solely on binary ($2 \times 2$) kernels, which restricts their block length to being only powers of 2. In response, multi-kernel (MK) polar codes have been proposed as a viable solution to achieve increased flexibility in code length. This article proposes unrolled and pipelined architectures for encoding both systematic and nonsystematic MK polar codes, capable of high-throughput encoding of codes constructed with binary, ternary ($3 \times 3$), or binary-ternary mixed kernels. Furthermore, two novel nonsystematic stage-folded encoders, designed to minimize resource usage, have been introduced for the encoding of pure-ternary and MK codes. The proposed MK encoders additionally provide the functionality of dynamic kernel assignment. The proposed architectures exhibit an unprecedented level of flexibility by supporting 83 different codes and offering various architectures that provide tradeoffs between throughput and resource consumption. The FPGA implementation results demonstrate that a partially pipelined polar encoder of size$N=4096$operating at a frequency of 270 MHz gives a throughput of 1080 Gb/s. In addition, a new compiler scripted in Python is introduced to automatically generate HDL modules for the desired encoders. By inserting the desired parameters, a designer can simply obtain all the necessary VHDL files for FPGA implementation.
Hossein Rezaei, Elham Abbasi, R. M. A. P. Rajatheva, Matti Latva-aho
IEEE Trans. Very Large Scale Integr. Syst.2
2022 Texture images classification using improved local quinary pattern and mixture of ELM-based experts
Laleh Armi, Elham Abbasi, Jamal Zarepour-Ahmadabadi
Neural Comput. Appl.2
2016 Root-quatric mixture of experts for complex classification problems
Elham Abbasi, Mohammad Ebrahim Shiri, Mehdi Ghatee
Expert Syst. Appl.1
2016 A regularized root-quartic mixture of experts for complex classification problems
Elham Abbasi, Mohammad Ebrahim Shiri, Mehdi Ghatee
Knowl. Based Syst.1