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Current Publication List

Contents

Abstracts of all published papers: 2012 – 2018

S. Areibi
Summary Of Abstracts
2012-2018 “Book Chapters, Journals and Conference Papers”

Refereed Journal Papers: (Published or In Press 2012-2018)

  1. Z. Abuowaimer, D. Maarouf, T. Martin, J. Foxcroft, G. Grewal, S. Areibi and A. Vannelli
    ‘GPlace3.0: Routability-Driven Analytic Placer for UltraScale FPGA Architectures’
    ACM Transactions on Design Automation of Electronic Systems (TODAES), V. 24, Issue 5, August 2018.
  2. A. Al-Hyari, S. Areibi
    Design Space Exploration of Convolutional Neural Networks based on Evolutionary Algorithms
    Journal of Computational Vision and Imaging Systems, Vol 3, No (1), October 2017.
  3. A. Elshamli, G. Taylor, A. Berg, S. Areibi
    Domain Adaptation Using Representation Learning for the Classification of Remote Sensing Images
    Accepted for publication in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, May 2017.
  4. A. Al-Wattar and S. Areibi and G. Grewal
    An Efficient Evolutionary Task Scheduling/Binding Framework for Reconfigurable Systems
    Journal of Reconfigurable Computing, Volume 2016, Article ID 9012909, pp: 1 -24, March 2016.
  5. A. Al-Wattar and S. Areibi and G. Grewal
    An Efficient Framework for Floor-plan Prediction of Dynamic Runtime Reconfigurable Systems
    International Journal of Reconfigurable and Embedded systems (IJRES), Vol. 4, No. 2, pp: 99-121, July 2015.
  6. R. Collier, C. Fobel, R. Pattison, G. Grewal, S. Areibi
    Advancing Genetic Algorithm Approaches to Field Programmable Gate Array Placement with Enhanced Recombination Operators
    Evolutionay Intelligence, Volume 2014, DOI: 10.1007/s12065-014-0114-6, pp: 183-200, October 2014.
  7. A. Savich and S. Areibi
    A Low-Power Scalable Stream Compute Accelerator for General Matrix Multiply (GEMM)
    VLSI Design, Volume 2014, Article ID 712085, pp: 1-11, February 2014.
  8. A. Elhossni, S. Areibi and R. Dony
    Architecture Exploration Based on GA-PSO Optimization, ANN Modeling, and Static Scheduling
    VLSI Design, Volume 2013, Article ID 624369, pp: 1-22, August 2013.
  9. O. Ahmed, S. Areibi, R. Collier and G. Grewal
    An Impulse-C Hardware Accelerator for Packet Classification based on Fine/Coarse Grain Optimization
    International Journal of Reconfigurable Computing, Volume 2013, Article ID 130765, pp:1-23, July 2013.
  10. O. Ahmed, S. Areibi and G. Grewal
    Hardware Accelerators Targeting a Novel Group Based Packet Classification Algorithm
    International Journal of Reconfigurable Computing, Volume 2013, Article ID 681894, pp:1-33, Feb 2013.
  11. A. Savich, M. Moussa and S. Areibi
    A Scalable Pipelined Architecture for Real-Time Computation of MLP-BP Neural Networks
    Microprocessors and Microsystems, Volume 36, Issue 2, Pages: 138-150, March 2012.
  12. M.Walton, O. Ahmed, S. Areibi and G. Grewal
    An Empirical Investigation on System/Statement Level Parallelism Strategies for Accerating Scatter Search using Handel-C and ImpulseC
    Journal of VLSI Design, Volume 12, No. 5, Pages: 1-11, January 2012.

Current Refereed Conference Papers: 2012 – 2018

  1. T. Martin, D. Maarouf, Z. Abouwaimer, A. Alhyari, G. Grewal, S. Areibi
    A Flat Timing-Driven Placement Flow for Modern FPGAs
    In Design Automation Conference (DAC 2019), Las Vegas, Nevada, USA, June, 2019
  2. A. Alhyari, Z. Abuowaimer, D. Maarouf, G. Grewal, S. Areibi
    An Effective FPGA Placement Flow Selection Framework using Machine Learning
    In International Conference on Microelectronics (ICM 2018), Sousse, Tunis, December, 2018
    (Best Paper Award)
  3. D. Maarouf, A. Alhyari, Z. Abuowaimer, T. Martins, A. Gunter, G. Grewal, S. Areibi, A. Vannelli
    A Machine-Learning Congestion-Estimation Model for Modern FPGAs
    in International Conference on Field Programmable Logic & Applications (FPL 2018), Dublin, Ireland, 27th August, 2018
    (Best Paper Award)
  4. G. Lacey, G. Taylor, S. Areibi
    Stochastic Layer-Wise Precision in Deep Neural Networks
    Accepted for publication in Conference on Uncertainty in Artificial Intelligence, Monterey, California, USA, August 6-10, 2018
  5. D. Jamma, O. Ahmed, G. Grewal, and S. Areibi
    ‘Hardware Accelerators for the K-Nearest Neighbor Algorithm using High Level Synthesis’
    Accepted for publication in 29th International Conference on Microelectronics, Beirut, Lebanon, December 2017.
  6. G. Grewal, S. Areibi, M. Westrik, Z. Abuowaimer and B. Zhao
    Automatic Flow Selection and Quality-of-Result Estimation for FPGA Placement
    In 24th Reconfigurable Architectures Workshop, Orlando, Florida, USA, May 2017.
  7. G. Grewal, S. Areibi, M. Westrik, Z. Abuowaimer and B. Zhao
    A Machine Learning Framework for FPGA CAD
    Poster in ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Monterey California, February 2017.
  8. D. Jamma, O. Ahmed, S. Areibi, G. Grewal and N. Molloy
    Design Exploration of ASIP Architectures for the K-Nearest Neighbor Machine-Learning Algorithm
    In IEEE International Conference on Microelectronics, Cairo Egypt, December 2016.
  9. R. Dicecco, G. Lacey, J. Vasiljevic, P. Chow, G. Taylor and S.Areibi
    Caffeinated FPGAs: FPGA Framework For Convolutional Neural Networks
    In IEEE International Conference on Field Programmable Technology (FPT), Xi’an China, December 2016.
  10. R. Pattison, Z. Abuowaimer, S. Areibi, G. Grewal and A. Vannelli
    Invited Paper: GPlace – A Congestion-aware Placement tool for UltraScale FPGAs
    In IEEE International Conference on Computer Aided Design, Austin Texas, November 2016.
  11. A. Shamli, G. Taylor and S. Areibi
    A Simple and Effective Semi-supervised Learning Framework for Hyperspectral Image Classification
    In IEEE System and Technologies for Remote Sensing Applications Through Unmanned Aerial Systems Workshop, Rochester NY, pp:14-18, October 2016.
    (Best Student Paper Award)
  12. B. Debowski, P. Spachos, S. Areibi
    Q-Learning Enhanced Gradient Based Routing for Balancing Energy Consumption in WSNs
    In 21st IEEE International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, October 2016.
  13. M. Elmahguibi, O. Ahmed, S. Areibi and G. Grewal
    Efficient AlgorithmSelection for Packet Classification using Meta-Learning
    In 21st IEEE International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, October 2016.
  14. R. Pattison, S. Areibi and G. Grewal
    ‘Scalable Analytic Placement for FPGA on GPGPU’.
    Accepted for publication in International Conference on Reconfigurable Computing and FPGAs, Cancun, Mexico, pp: , December 2015.
  15. A. Al-Wattar, S. Areibi and G. Grewal
    ‘Efficient mapping of Execution Units to Task Graphs using an Evolutionary Framework’.
    International Symposium on Highly-Efficient Accelerators and Reconfigurable Technologies (HEART) 2015, Boston, MA, USA, pp: , June 1-2 2015.
  16. L. Richards, L. Antonie, S. Areibi, G. Grewal, K. Inwood and J. Ross
    ‘Comparing Classifiers in Historical Census Linkage’.
    IEEE International Conference on Data Mining Workshop (ICDMW) , Shenzhen, China, pp: 1086-1094, December 2014.
  17. O. Ahmed, and S. Areibi
    ‘An Efficient Application-Specific Instruction-Set Processor for Packet Classification’.
    IEEE International Conference on Reconfigurable Computing and FPGAs, Cancun, Mexico, pp: 1-6, December 2013.
  18. A. Mahmoud and R. Dony and and S. Areibi
    ‘An Adaptive Encryption Based Genetic Algorithm for Medical Images’.
    IEEE International Workshop on Machine Learning for Signal Processing, Southhampton, UK, Sept. 2013.
  19. B. Debowski and S. Areibi and G. Grewal and J. Tempelman
    ‘A Dynamic Sampling Framework for Multi-Class Imbalanced Data’.
    International Conference on Machine Learning and Applications (ICMLA 2012), Boca Raton, Florida, USA, pp: 113-118, December 2012.
  20. S. Sheikh-Nia and G. Grewal and S. Areibi
    ‘The Sequential Ensemble Classification (SEC) System for Tackling the Problem of Unbalnce Learning: A Case Study’.
    International Conference on Machine Learning and Applications (ICMLA 2012), Boca Raton, Florida, USA, pp: 72-77, December 2012.
  21. A. Al-wattar and S. Areibi and F. Saffih
    ‘Efficient On-line Hardware/Software Task Scheduling for Dynamic Run-time Reconfigurable Systems’.
    Reconfigurable Architectures Workshop (RAW 2012), Shanghai, China, pp: 401-406, May 2012.