ACHRAF BERRAJAA

BERRAJAA Achraf

Euromed Polytechnic School (EPS)

a.berrajaa@ueuromed.org

Laboratory: Novelis-Lab at Polytechnique Paris.

Smart Programming Project : Development of a platform allowing the generation of web applications from specifications (Program summary).

Mission: The use of Machine Learning and deep learning models, artificial intelligence models in general to satisfy the problem of automatic generation of source code from natural language descriptions.

Technical Environment:
Python, Tensorflow, Keras, Flask, MongoDB, Linux, GitLab.

Training and certification in Cisco CCNA Exploration.                                          

Administration of computer networks, routing, implementation and configuration of a complex network.

RPA Developer certification.                                                                                        

Uipath and its applications to develop a software robot (international certification of artificial intelligence).

Programming using Python (Microsoft) Certified.   

 

Artificial intelligence and Data science,

Big Data,

Operational research and combinatorial optimization,

Parallel calculation,

Automatic natural language processing with neural networks,

Question/answer systems and information retrieval,

Internet of Things (IoT).

Part-time teacher at the SupMTI school.

Engineering cycle: in charge of OOP, UML and AI courses/TD/TP.

Part-time teacher at the Faculty of Sciences of Oujda.

License cycle: responsible for C/C++ programming practical work.

Teacher at Acadomia in Le Havre France.

Engineering cycle: Introduction to operating systems and networks, C++ and Java.

Master Trainer at the international conference Operational Management of Logistics - Gol'16.

Participants in Gol'16: Training in parallel programming on GPU.

Master Trainer at Drahi-X (innovation center at the polytechnic school).

To engineers: Uipath and its applications for developing a software robot.

 Berrajaa. A, and Ettifouri. EH, “ The recurrent neural networks for program synthesis ”. Working paper.

Berrajaa. A, Ettifouri. EH, Dahhane. W, “ The new Dataset for program synthesis ”. Accepted in the 3rd edition of International Conference Europe Middle East & North Africa On Information System Technology and Learning Researchs (November 2019).

Berrajaa. A and Ettifouri. EH, “NL2Code: “ A Corpus and Semantic Parser for Natural Language to Code ”. Lecture Notes in Electrical Engineering, the Conference on Smart Information & Communication Technologies (September 2019).

Berrajaa. A, Ettifouri. EH, Marrakchi. T, Dahhane. W, “ Program synthesis research: Current State and Future Directions .” Lecture Notes in Electrical Engineering, the Conference on Smart Information & Communication Technologies (September 2019).

Benaini. A, Berrajaa. A, Boukachour. J, Oudani. M, “ Solving the Uncapacitated Single Allocation p-Hub Median Problem on GPU ”. Bioinspired Heuristics for Optimization. Studies in Computational Intelligence vol 774. (2019).

Benaini, A and Berrajaa, A. “ Genetic algorithm for large dynamic vehicle routing problem on GPU ”. IEEE Xplore, pp 1-9 (2018), doi 10.1109/GOL.2018.8378082.

Benaini. A, Berrajaa. A, “ A GPU-based genetic algorithm for the multiple allocation p-hub median problem ”. Submitted to Journal soft computing (2017).

Benaini. A and Berrajaa. A, “ GPU based algorithm for the capacitated single allocation hub location problem ”. Submitted to Computers and Industrial Engineering Journal (2017).

Benaini. A, Berrajaa. A, Daoudi. E. M, “ Parallel implementation of the multi capacity VRP on GPU ”. Advances in Intelligent Systems and Computing, vol 1, pp. 353-364 2017 doi 10.1007/978-3-319-46568-5_36.

Benaini. A, Berrajaa. A, Boukachour. J, Oudani. M “ Parallel genetic algorithm for the Uncapacitated Single Allocation Hub Location Problem on GPU ”. IEEE Xplore, pp 1-8 (2017), doi 10.1109/AICCSA.2016.7945636.

Benaini. A, Berrajaa. A, Sbihi. A, “ An adapted GA for solving the steel continuous casting problem on GPU ”. Accepted in Intern Conf on High Performance Computing & Simulation (HPCS 2016).

Benaini. A, Berrajaa. A, “ Solving the Dynamic Vehicle Routing Problem on GPU ”. In IEEE Xplore, pp 1-6 (2016), doi 10.1109/GOL.2016.7731688.

Benaini, A, Berrajaa, A, & Daoudi, EM “ GPU implementation of the multi depot Vehicle Routing Problem ”. IEEE Xplore, pp 1-7 (2016), doi 10.1109/AICCSA.2015.7507162.

Benaini, A, Berrajaa, A, & Daoudi, EM “  Solving the Vehicle Routing Problem on GPU ”. Lecture Notes in Electrical Engineering, vol 2, pp. 239-248 Springer 2015 doi 10.1007/978-3-319-30298-0_25.

Data sciences and optimization (SIC 4),

Project S8 (SIC 4)

Programming Project (SIC 2)

Computer Science 2 (1st Year )

Opportunities

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