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Masoud Daneshtalab

Masoud Daneshtalab

D-Index & Metrics

Computer Science

D-Index
34
Citations
4469
World Ranking
12242
National Ranking
92

Overview

Masoud Daneshtalab is affiliated with Mälardalen University in Sweden. Their research primarily spans the fields of Computer Science and Engineering, with significant contributions in Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Hardware and Architecture, and Cardiology and Cardiovascular Medicine.

Their recent publications include:

  • A review on deep learning methods for ECG arrhythmia classification, 2020, Expert Systems with Applications X
  • Time-Sensitive Networking in automotive embedded systems: State of the art and research opportunities, 2021, Journal of Systems Architecture
  • DeepMaker: A multi-objective optimization framework for deep neural networks in embedded systems, 2020, Microprocessors and Microsystems
  • A comprehensive systematic review of integration of time sensitive networking and 5G communication, 2023, Journal of Systems Architecture
  • A Systematic Literature Review on Hardware Reliability Assessment Methods for Deep Neural Networks, 2023, ACM Computing Surveys

Masoud Daneshtalab's research topics cover a range of areas, including:

  • Advanced Neural Network Applications
  • Radiation Effects in Electronics
  • Autonomous Vehicle Technology and Safety
  • Adversarial Robustness in Machine Learning
  • Advanced Memory and Neural Computing
  • Parallel Computing and Optimization Techniques
  • ECG Monitoring and Analysis

Frequent collaborators in their research include:

  • Maksim Jenihhin
  • Jaan Raik
  • Mohammad Loni
  • Mahdi Taheri
  • Ali Zoljodi

Common venues for publishing their work are:

  • arXiv (Cornell University)
  • Journal of Systems Architecture
  • IEEE Access
  • SSRN Electronic Journal
  • Microprocessors and Microsystems

Best Publications

  • A Review on Deep Learning Methods for ECG Arrhythmia Classification

    Zahra Ebrahimi;Mohammad Loni;Masoud Daneshtalab;Arash Gharehbaghi

  • Time-Sensitive Networking in automotive embedded systems: State of the art and research opportunities

    Mohammad Ashjaei;Lucia Lo Bello;Masoud Daneshtalab;Gaetano Patti

  • Routing Algorithms in Networks-on-Chip

    Maurizio Palesi;Masoud Daneshtalab

  • EDXY - A low cost congestion-aware routing algorithm for network-on-chips

    P. Lotfi-Kamran;A. M. Rahmani;M. Daneshtalab;A. Afzali-Kusha

  • Smart hill climbing for agile dynamic mapping in many-core systems

    Mohammad Fattah;Masoud Daneshtalab;Pasi Liljeberg;Juha Plosila

  • DeepMaker: A multi-objective optimization framework for deep neural networks in embedded systems

    Mohammad Loni;Sima Sinaei;Ali Zoljodi;Masoud Daneshtalab

  • HARAQ: Congestion-Aware Learning Model for Highly Adaptive Routing Algorithm in On-Chip Networks

    Masoumeh Ebrahimi;Masoud Daneshtalab;Fahimeh Farahnakian;Juha Plosila

  • Path-Based Partitioning Methods for 3D Networks-on-Chip with Minimal Adaptive Routing

    Masoumeh Ebrahimi;Masoud Daneshtalab;Pasi Liljeberg;Juha Plosila

  • Fault-tolerant routing algorithm for 3D NoC using Hamiltonian path strategy

    Masoumeh Ebrahimi;Masoud Daneshtalab;Juha Plosila

  • CoNA: Dynamic application mapping for congestion reduction in many-core systems

    Mohamamd Fattah;Marco Ramirez;Masoud Daneshtalab;Pasi Liljeberg

  • Q-learning based congestion-aware routing algorithm for on-chip network

    Fahimeh Farahnakian;Masoumeh Ebrahimi;Masoud Daneshtalab;Pasi Liljeberg

  • CATRA- congestion aware trapezoid-based routing algorithm for on-chip networks

    Masoumeh Ebrahimi;Masoud Daneshtalab;Pasi Liljeberg;Juha Plosila

  • BARP-a dynamic routing protocol for balanced distribution of traffic in NoCs

    Pejman Lotfi-Kamran;Masoud Daneshtalab;Caro Lucas;Zainalabedin Navabi

  • DyXYZ: Fully Adaptive Routing Algorithm for 3D NoCs

    M. Ebrahimi;Xin Chang;M. Daneshtalab;J. Plosila

  • MD: Minimal path-based fault-tolerant routing in on-Chip Networks

    M. Ebrahimi;M. Daneshtalab;J. Plosila;F. Mehdipour

  • NoC Hot Spot minimization Using AntNet Dynamic Routing Algorithm

    M. Daneshtalab;A. Sobhani;A. Afzali-Kusha;O. Fatemi

  • Low-distance path-based multicast routing algorithm for network-on-chips

    Masoud Daneshtalab;Masoumeh Ebrahimi;Siamak Mohammadi;Ali Afzali-Kusha

  • Minimal-path fault-tolerant approach using connection-retaining structure in Networks-on-Chip

    Masoumeh Ebrahimi;Masoud Daneshtalab;Juha Plosila;Hannu Tenhunen

  • High Performance Fault-Tolerant Routing Algorithm for NoC-Based Many-Core Systems

    M. Ebrahimi;M. Daneshtalab;J. Plosila

  • On self-tuning networks-on-chip for dynamic network-flow dominance adaptation

    Xiaohang Wang;Mei Yang;Yingtao Jiang;Peng Liu

  • BARP-A Dynamic Routing Protocol for Balanced Distribution of Traffic in NoCs to Avoid Congestion

    P. Lotfi-Kamran;M. Daneshtalab;C. Lucas;Z. Navabi

Frequent Co-Authors

Juha Plosila
Juha Plosila University of Turku
Hannu Tenhunen
Hannu Tenhunen Royal Institute of Technology
Pasi Liljeberg
Pasi Liljeberg University of Turku
Maurizio Palesi
Maurizio Palesi University of Catania
Ali Afzali-Kusha
Ali Afzali-Kusha University of Tehran
Nader Bagherzadeh
Nader Bagherzadeh University of California, Irvine
Tapio Pahikkala
Tapio Pahikkala University of Turku
Sergio Saponara
Sergio Saponara University of Pisa
Caro Lucas
Caro Lucas University of Tehran

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