Imen Chakroun

Full-time Researcher at the AI 4 Health & Life Science - IMEC P.h.D and Engineer in Computer Science

My name is Imen Chakroun, I am a full-time researcher at AI 4 Health & Life Science at IMEC . I have received my P.h.D in computer science from the Lille 1 University and the INRIA Lille Nord Europe research center. I received the engineering degree in computer science in 2008 and the MSc. degree in computer networking and distributed systems in 2009 from the national school of computer science in Tunis

Name
Imen Chakroun
Phone
+32 16 28 81 89
Email
imen[dot]chakroun[at]imec[dot]be
Website
http://www.imen-chakroun.net/
CV
Download my resume
Phd
Download my Phd Slides
Address
Office I1/1.0.31 - IMEC
75 kapeldreef 3001 Heverlee, Belgium.
Awards
C3I - Certicat de Compétences en Calcul Intensif.

International Journals

  •  New  Identifying and evaluating barriers for the implementation of machine learning in the intensive care unit

    Ellie D'Hondt, Thomas Ashby, I. Chakroun , Thomas Koninckx, and Roel Wuyts

    Nature Partnering Journal - Communications Medicine. Accepted. October 2022.

  • - Synergy between Parallel Computing, Optimization and Simulation.

    N. Melab, J. Gmys, P. Korosec and I. Chakroun

    Journal of Computational Science June 2020.

  • - Guidelines for enhancing data locality in selected machine learning algorithms.

    I. Chakroun , T. Vander Aa and T. Ashby

    Intelligent Data Analysis journal. IOS Press. Accepted. October 2018.

  • - Large-Scale Wearable Data Reveal Digital Phenotypes for Daily-Life Stress Detection

    E. Smets, E. Rios Velazquez, G. Schiavone, I. Chakroun , E. D'Hondt, W. De Raedt, J. Cornelis, O. Janssens, S. Van Hoecke, S. Claes, I.Van Diest, C. Van Hoof

    Nature Partnering Journal - Digital Medicine. Accepted. October 2018.

  • - Parallel Optimization using/for Multi and Many-core High Performance Computing

    Nouredine Melab, Albert Zomaya, I. Chakroun

    Journal of Parallel and Distributed Computing (JPDC) - Elsevier Volume 112, Part 2, February 2018, Pages 109-178.

  • - A high level library for multi-dimensional arrays programming in computational science.

    I. Chakroun , T.Vander Aa, B. De Fraine, T. Haber, P. Costanza and R. Wuyts

    Concurrency and Computation: Practice and Experience (CCPE) - John Wiley & Sons January 2018. https://doi.org/10.1002/cpe.4376.

  • - Towards an heterogeneous and adaptive parallel Branch-and-Bound algorithm.

    I. Chakroun and N. Melab

    Journal of Computer and System Sciences (JCSS) - Elsevier Volume 81, Issue 1, February 2014, Pages 72-84.

  • - Combining multi-core and GPU computing for solving combinatorial optimization problems.

    I. Chakroun, N. Melab, M.Mezmaz and D. Tuyttens

    Journal of Parallel and Distributed Computing (JPDC) - Elsevier Volume 73, Issue 12, December 2013, Pages 1563-1577.

  • - Graphics processing unit-accelerated bounding for branch-and-bound applied to a permutation problem using data access optimization.

    N. Melab,I. Chakroun and A.Bendjoudi

    Concurrency and Computation: Practice and Experience (CCPE) - John Wiley & Sons Volume 26, Issue 16, October 2013, Pages 2667-2683.

  • - Reducing thread divergence in a GPU-accelerated branch-and-bound algorithm.

    I. Chakroun, M.Mezmaz, N. Melab, and A.Bendjoudi

    Concurrency and Computation: Practice and Experience (CCPE) - John Wiley & Sons Volume 25, Issue 8, October 2012, Pages 1121-1136

International Conference Proceedings

  •  New  - AI privacy preserving robots working in a smart sensor environment.

    I. Chakroun, Geert Vanmeerbeeck; Roel Wuyts and Wilfried Verachtert

    IEEE International Conference on Machine Learning and Applications, IEEE ICMLA, December 2022, Bahamas.

  • - Privacy-Preserving Multi-Party Machine Learning for Object Detection.

    I. Chakroun, Tom Vander Aa, Roel Wuyts and Wilfried Verachtert

    IEEE Global Conference on Artificial Intelligence and Internet of Things, December 2021, Dubai.

  • - Using privacy preserving amalgamated machine learning for pedestrian safety in warehouses.

    I. Chakroun, Tom Vander Aa, Roel Wuyts and Wilfried Verachtert

    33rd Benelux Conference on Artificial Intelligence and the 30th Belgian Dutch Conference on Machine Learning (BNAIC/BENELEARN 2021), November 2021, Luxembourg.

  • - Distributing intelligence for object detection using edge computing.

    I. Chakroun, Tom Vander Aa, Roel Wuyts and Wilfried Verachtert

    2021 IEEE International Conference on Cloud Computing proceedings (IEEE CLOUD 2021), September 2021, Virtual.

  • - Multi party privacy preserving machine learning for process control.

    Wilfried Verachtert, Thomas J. Ashby, I. Chakroun, Roel Wuyts, Sayantan Das, Sandip Halder and Philippe Leray

    SPIE Advanced Lithography, February 2021, Online Only.

  • - Using Unsupervised Machine Learning for Plasma Etching Endpoint Detection.

    I. Chakroun, Thomas J. Ashby, Sayantan Das, S. Halder, R. Wuyts and W. Verachtert

    9th International Conference on Pattern Recognition Applications and Methods - Valetta. Malta, February 2020.

  • - SMURFF: a High-Performance Framework for Matrix Factorization

    Tom Vander Aa , I. Chakroun and Tom Ashby

    IEEE International Conference on Artificial Intelligence Circuits and Systems - AICAS. Taiwan, 18-20 March 2019.

  • - GPU-accelerated CellProfiler

    I. Chakroun, Nick Michiels and Roel Wuyts

    The IEEE International Conference on Bioinformatics and Biomedicine - BIBM 2018. Madrid, 3-6 December 2018.

  • - Enhancing Machine Learning Optimization Algorithms by Leveraging Memory Caching

    I. Chakroun, T.Vander Aa. and T. Ashby

    The International Conference on High Performance Computing & Simulation - HPCS 2018. Orléans (France), 16-20 July 2018.

  • - Cache-efficient Gradient Descent Algorithm

    I. Chakroun, T.Vander Aa. and T. Ashby

    European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2018. Bruges (Belgium), 25 - 27 April 2018.

  • - SW-SGD: The Sliding Window Stochastic Gradient Descent Algorithm

    I. Chakroun, T.Haber and T. Ashby

    International Conference on Computational Science, ICCS 2017. Zurich, Switzerland. 12-14 June 2017.

  • - Distributed Bayesian Probabilistic Matrix Factorization

    T.Vander aa, I. Chakroun and T.Haber

    The IEEE International Conference on Cluster Computing, Cluster'16. Taipei, Taiwan. September 12-16, 2016.

  • - HB&B@GRID: An Heterogeneous Grid-enabled Branch and Bound Algorithm

    I. Chakroun and N.Melab

    The International Conference on High Performance Computing & Simulation (HPCS 2016). Innsbruk, Austria. July 18-22, 2016.

  • - Exploring parallel implementations of the Bayesian Probabilistic Matrix Factorization

    I. Chakroun, T.Haber, T.Vander aa and T.Kovac

    Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP 2016). Heraklion, Greece, February 17-19, 2016.

  • - Stencil-Based Exascale Simulations Using an N-Dimensional Array Toolkit.

    I. Chakroun, Z.Bhatti, T. Vander Aa, R. Wuyts and W. Demeuter

    Platform for Advanced Scientific Computing Conference (PASC 15). Zurich, Switzerland, June 01-03, 2015.

  • - ExaShark+GASPI: Reducing the burden to program large HPC systems since 2014.

    T. Vander Aa, I. Chakroun, M. Rahn, C. Simmendinger and R. Wuyts

    Exascale Applications and Software Conference (EASC 2015). Edinburgh, UK, April 21-23, 2015.

  • - ExaShark: A Scalable Hybrid Array Kit for Exascale Simulation

    I. Chakroun, T. Vander Aa, B. De Fraine, T. Haber, R. Wuyts and W. Demeuter

    23rd High Performance Computing Symposium (HPC 2015). Alexandria, USA, April 12-15, 2015.

  • - Operator-level GPU-accelerated Branch and Bound algorithms

    I. Chakroun and N. Melab.

    International Conference on Computational Science, ICCS 2013. Barcelona, Spain, June 5-7, 2013.

  • - A GPU-accelerated Branch-and-Bound Algorithm for the Flow-Shop Scheduling Problem

    N. Melab, I. Chakroun, M. Mezmaz and D.Tuyttens.

    14th IEEE International Conference on Cluster Computing, Cluster'12. China, Beijin, September 24-28, 2012.

  • - An Adaptative Multi-GPU based Branch-and-Bound. A Case Study: the Flow-Shop Scheduling Problem

    I. Chakroun and N. Melab

    14th IEEE International Conference on High Performance Computing and Communications, HPCC'12. United Kingdom, Liverpool, June 24-27, 2012.

  • - Reducing Thread Divergence in GPU-based B&B Applied to the Flow-shop problem

    I. Chakroun, A. Bendjoudi, and N.Melab

    9th International Conference on Parallel Processing and Applied Mathematics PPAM'11, LNCS. Poland, Torun, September 11-14, 2011.

Book Chapters

  • - GPU-accelerated Tree-based Exact Optimization Methods

    I. Chakroun and N. Melab

    Designing scientific applications on GPUs. CRC Press, Taylor & Francis Group.

Thesis

  • - Parallel heterogeneous Branch and Bound algorithms for multi-core and multi-GPU environments

    I. Chakroun

    Lille - June 2013.

High Performance Computing

  • GPU, Multicore computing

  • Cluster and Grid computing, Heterogenous computing

Machine Learning and data analytics

  • Matrix factorization algorithms

  • Simple learners: Logistic regression, SVM, RPW, Naive bayes..

Exascale architectures

  • Exascale computing, PGAS programming

  • Krylov solvers

  • Stencil codes

Combinatorial Optimization

  • Parallel Exact Algorithms: Branch and Bound ..

  • Combinatorial Optimization Problems: FSP, QAP, TSP, KP...

Year 2015 -2016

  • Programmation: Third Year Engineering, 14h.

Year 2012 -2013

  • Initiation à la programmation: First Year Bachelor, 54h.

  • Calcul intensif: Second year Master in Advanced Scientific Computing, 20h.

Year 2011- 2012

  • Codage de l'information: Second Year Bachelor, 36h.

  • Recherche Operationnelle: First year Master in Information & Knowledge Systems Engineering and Management, 30h.

Year 2010 - 2011

  • Algorithmes et Programmation Impérative: First Year Bachelor, 48h.

  • Recherche Operationnelle: First year Master in Information & Knowledge Systems Engineering and Management, 16h.

Reviewing Activities

  •  New  - Member of the PhD Jury of Guillaume Briffotaux (University of Mons/INRIA Lille Europe). October 2022.

     

    - Workshop organizer and chair of the International Workshop on the Synergy of Parallel Computing, Optimization and Simulation (PaCOS 2018) in conjunction with HPCS 2018.

     

    - Member of the PhD Jury of Jan Gmys (University of Mons/INRIA Lille Europe). December 2017.

     

    - Guest Editor in the Journal of Parallel and Distributed Computing (JPDC) - Elsevier - 2016.

     

    - Workshop organizer and chair of the International Workshop on Parallel Optimization using/for Multi and Many-core High Performance Computing in conjunction with HPCS 2016.

     

    - Reviewer for the Journal of Parallel and Distributed Computing (JPDC): Special issue on "Architectures and Algorithms for Irregular Applications" - 2014

     

    - Reviewer for Concurrency and Computation: Practice and Experience journal - 2014 , 2015

     

    - PC Member of the ICCS conference 2015, 2016

     

    - Reviewer for Microprocessors and Microsystems: Embedded Hardware Design journal - 2016

Participation in scientific animation

  • - OPEN DAY COMPANY at IMEC.

  • On the Flemish Open Company Day (October 5th 2014), IMEC opened its doors to the public to visit its buildings and to learn about its research.

  • - RIC (RESEARCH INNOVATION CREATION).

  • Days for second year master students to discover research topics and teams of the LIFL.

    Presentation of the thesis progress : research works, implementation, writing, conference...

Supervision

  • - BOURGOIS Tristan - Master M2 IAGL - Lille 1.

      Innovative prototyping with Pharo. THALES SYSTEMES AEROPORTES-BREST Corporation.

  • - DUTHOIT Marc - Licence L3 Informatique - Lille 1.

      Design and Implementation of a mobile solution for project monitoring. SOPRA GROUP Corporation.

Imen Chakroun - Copyright © 2015