Refereed Journal Papers: (Published or In Press 2014-2024)

1. T. Martin, C. Barnes G. Grewal and S. Areibi
   'Integrating Machine-Learning Probes in FPGA CAD: Why and How?'
   IEEE Design & Test of Computers, June. 2023.
2. A. Alhyari, H. Szentimrey, A. Shamli, T. Martin, G. Grewal and S. Areibi
   'A Deep Learning Framework to Predict Routability for FPGA Circuit Placement'
   ACM Transactions on Reconfigurable Technology and Systems (TRETS), Pages: 1-28, Volume 14, Issue 3, Articl 16, Sept. 2021.
3. H. Szentimrey, A. Al-hyari, J. Foxcroft, T. Martin, D. Noel, G. Grewal and S. Areibi
   'Machine Learning for Congestion Management and Routability Prediction within FPGA Placement'
   ACM Transactions on Design Automation of Electronic Systems (TODAES), V. xx, Issue x, Accepted Nov. 2019
4. A. Shamli, G. Taylor, S. Areibi
   'Multi-source Domain Adaptation for Remote Sensing using Deep Neural Networks'
   IEEE Transactions on Geoscience and Remote Sensing (TGRS), Accepted Nov. 2019.
5. A. Alhyari, Z. Abuowaimer, G. Grewal, S. Areibi, T. Martin, D. Maarouf, A. Vannelli
   'Novel Congestion Estimation and Routability-Prediction Methods based on Machine Learnig for Modern FPGAs'
   ACM Transactions on Reconfigurable Technology and Systems (TRETS), V. 12, Issue 3, September 2019.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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.
12. 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.

Current Refereed Conference Papers: 2014 - 2024

1. U. F. Siddiqi, K.C. Cheng, G. Grewal and S. Areibi
   Enhancing K-way Circuit Partitioning: A Deep Reinforcement Learning Methodology
   In International Conference on Optimization, Learning Algorithms and Applications, Spain, July, 2024.
2. U. F. Siddiqi, G. Grewal and S. Areibi
   A Recursive Partitioning Approach to Improving Hypergraph Partitioning
   In Canadian Conference on Electrical and Computer Engineering, Kingston, Ontario, Canada, August, 2024.
3. T. Martin, D. Maarouf, G. Grewal and S. Areibi
   A High-Performance Routing Engine for Large-Scale FPGAs
   In International Conference on Field-Programmable Logic and Applications (FPL), Turin, Italy, Sept. 2024.
4. C. Barnes, S. Vermeulen, S. Areibi and G. Grewal
   An Adaptive Analytical FPGA Placement flow based on Reinforcement Learning
   In International Conference on Microelectronics (ICM2023), UAE, Dec, 2023.
5. T. Martin, C. Barnes, G. Grewal, S. Areibi
   FPGA Placement: Dynamic Decision Making via Machine Learning
   In 36th Symposium on Integrated Circuits and Systems Design, Brazil, Aug, 2023.
6. T. Martin, Q. Li, C. Barnes, G. Grewal, S. Areibi
   A Deep-Learning Data-Driven Approach for Reducing FPGA Routing Runtimes
   In International Conference on Field-Programmable Technology (FPT2023), Dec, 2023.
7. U. Siddiqi, G. Grewal, S. Areibi
   A Deterministic Parallel Routing Approach for Accelerating Pathfinder-based Algorithms
   In VLSI SOC, UAE, Oct, 2023.
8. T. Martin, C. Barnes, G. Grewal, S. Areibi
   An Adaptive Sequential Decision making Flow for FPGAs using Machine Learning
   In 34th International Conference on Microelectronics, Casablanca, Morocco, Dec. 2022.
9. U. Siddiqi, T. Martin, S. Van Den Eijnden, A. Shamli, G. Grewal, S. Sait and S. Areibi
   Faster FPGA Routing by Forecasting and Pre-Loading Congestion Information
   In 4th ACM/IEEE Workshop on Macine Learning for CAD (MLCAD 2022), Sept 12-13th 2022.
10. T. Martin, C. Barnes, G. Grewal, S. Areibi
    Integrating Machine-Learning Probes into the VTR FPGA Design Flow
    35th Symposium on Integrated Circuits and Systems Design, Minuano, Brazil, Aug. 2022.
    (Best Track Paper Award)
11. P. Esmaeili, T. Martin, S. Areibi, G. Grewal
    Guiding FPGA Detailed Placement via Reinforcement Learning
    30th IEEE International Conference on Very Large Scale Integration, Patras, Greece, Oct. 2022.
12. M. Fathi, S. Areibi, G. Grewal
    Using Machine Learning to Predict Operating Frequency During Placement in FPGA Designs
    In International Conference on Microelectronics (ICM 2021), Cairo, Egypt, Dec. 2021.
13. T. Martin, S. Areibi, G. Grewal
    Simple Machine-Learning Models for Predicting Routability During FPGA Placement
    Submitted to 3rd ACM/IEEE Workshop on Macine Learning for CAD (MLCAD) (RAW 2021), August 31st, 2021.
14. T. Martin, G. Grewal, S. Areibi
    A Machine Learning Approach to Predict Timing Delays During FPGA Placement
    In IEEE 28th Reconfigurable Architectures Workshop (RAW 2021), May 17, 2021.
15. A. Alhyari, A. Shamli, T. Martin, S. Areibi, G. Grewal
    An Adaptive Analytic FPGA Placement Framework based on Deep-Learning
    In ACM/IEEE Workshop on Machine Learning for CAD, November 2020.
16. D. Maarouf, A. Alhyari, A. Shamli, T. Martin, G. Grewal, S. Areibi
    A Deep Learning Framework for Predicting Congestion during FPGA Placement
    Accepted for publication in International Conference on Field Programmable Logic & Applications (FPL 2020), Gothenburg, Sweden, 31st August - 4th September, 2020
17. J. Foxcroft, G. Grewal, S. Areibi
    Enhancing the Performance of FPGA Congestion Management via Supervised Learning
    In International Conference on Microelectronics (ICM 2019), Cairo, Egypt, December, 2019
18. A. Alhyari, A. Shamli, Z. Abuowaimer, G. Grewal, S. Areibi
    A Deep Learning Framework to Predict Routability for FPGA Circuit Placement
    Accepted for publication In International Conference on Field Programmable Logic & Applications (FPL 2019), Barcelona, Spain, 9th September, 2019
19. 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
20. 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)
21. 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)
22. 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
23. 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.
24. 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.
25. 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.
26. 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.
27. 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.
28. 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.
29. 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)
30. 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.
31. 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.
32. 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.
33. 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.
34. 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.

This page was last updated Jul. 2024