The document provides details on an engineer designer developer's qualifications, work experiences, education, skills and interests. They include a master's degree in Big Data from University Paris VIII, work experiences in data processing, analysis and visualization using tools like SOM, Word2Vec and CBOW, and skills in languages like Java, C/C++, PHP, Python, HTML, CSS, SQL and frameworks like Spring. Their interests include swimming and horse riding.
My professional goal is to work for a Company at the national and/or international level in an area with great technological influence, such as: IT/ IT consulting or the cybersecurity department. I feel curiosity and concern for both of them. I am a dynamic, organized and methodical person. I am also self-taught so I always look for ways to improve small technical qualities through online videos. My ability to work in a team with my responsibility and interpersonal communication, allows me to add value to the company. One of my professional ambitions is to work abroad for several years and learn German.
CV Omar Hicham, seeking a PhD in distributed algorithms and systems or a challenging opportunity in software engineering of distributed and large scale systems and big data.
Seeking a challenging position in the IT sector so as to contribute and improve my skills and abilities to serve the organization and build my professional career in the IT industry.
My professional goal is to work for a Company at the national and/or international level in an area with great technological influence, such as: IT/ IT consulting or the cybersecurity department. I feel curiosity and concern for both of them. I am a dynamic, organized and methodical person. I am also self-taught so I always look for ways to improve small technical qualities through online videos. My ability to work in a team with my responsibility and interpersonal communication, allows me to add value to the company. One of my professional ambitions is to work abroad for several years and learn German.
CV Omar Hicham, seeking a PhD in distributed algorithms and systems or a challenging opportunity in software engineering of distributed and large scale systems and big data.
Seeking a challenging position in the IT sector so as to contribute and improve my skills and abilities to serve the organization and build my professional career in the IT industry.
Igor Braga resume. My objective is to obtain a software developer position where I can utilize my education and knowledge to help
the company I work for reach its goals while I gain valuable experience in my career field.
Hello Sir/Madam,
I'M Ruchi Rai.i have experience 5 month in core php.
i have also worked wordpress,codeigniter(MVC,HMVC),Moodle framework.
i also known AJAX,Javascript,JQuery,HTML5,CSS,Bootstrape,C &C++.
Thanks & Regards
Ruchi Rai
Email Id:ruchi.mcalnct40@gmail.com
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
1. oct-June 2019: Engineer Designer Developer (training course)
Qualification: In progress
2014-2016: Big Data (University Paris VIII)
Qualification: Master's degree
2013-2014: Computer security (University Paris XII)
2009-2013: Computer sciences (University Paris XII)
Qualification: bachelor’s degree
Remote Teaching Institute (IED),
Missions: data processing, data analysis and data visualization
(using a self-organizing map (SOM)).
• Transformed a large corpus of text to vector space.
• Used different word representation methods
(Word2Vec et CBOW)
• Used Grammatical Categories and Marker
Classification vectors by a SOM
University Paris VIII,
Missions: Word Embeddings for Natural Language Processing
• Vector Representations of Words
• Text data mining
• Machine Learning (Unsupervised learning)
Dental clinic,
Missions: to create dynamic website using php/JavaScript/html/CSS
01/02/2016
- 01/09/2016
(Paris-France)
01/05/2015
- 01/09/2015
(Paris-France)
01/05/2013
- 01/09/2013
(Paris-France)
Education & Qualifications
French: courant
English: courant
Persian: native
Hadoop, IntelliJ IDEA
NetBeans,Eclipse,
Phpmyadmin, Qt
Languages
Work EXPERIENCES
Camelia MOHIMANI
14 allée des Acacias
92310 SEVRES
06 .69.03.87.51
Camelia-mastani@yahoo.fr
Designer Developer Engineer
Swimming (Advanced level)
Horse riding (competition)
Interests and achievement
Special Skills
SOFTWARE
Languages
Java, C/C++, PHP, Python,
HTML, CSS, SQL, Scala, R
Conception
UML
Big data: Hadoop, HDFS,
MapReduce, Hive, Spark, R,
word2vect, glove.
Application wireframe.
Software Development (Back End
Development & Front-End Web
Development).
To implement the data
persistence by integrating
security.
To create a mobile Application
To Deploy and Run Application
Framework
Spring
Database
MySql
Postgresql
