Salim Miloudi

About the Candidate

SALIM MILOUDI
Ottawa, ON | (613) 410-7299 | salim.miloudi@outlook.com | https://www.linkedin.com/in/salim-miloudi

Data Mining & Machine Learning Researcher | Software Developer | Computer Network Technician

SUMMARY OF QUALIFICATIONS

• Trilingual, with over 4 years of intensive research experience in data mining and machine learning
  Ph.D. in Information Systems Engineering and D.Eng. in Software Engineering, with a strong
  emphasis on optimization algorithms and unsupervised learning models
• Author of multiple high-impact research papers and presenter at international conferences,
  including ICTAI and GIScience
• Specialized in developing innovative deep learning models for OpenStreetMap data quality assessment and satellite imagery segmentation
• Excellent troubleshooting and network management skills
• Strong collaboration skills, thriving both as a team member and working independently
• Excellent communication, critical thinking and decision-making skills
• Fluent in French, English and Arabic

TECHNICAL SKILLS

Operating System: Windows, Linux
Programming Language: Java, Python, C/C++
Data Science & Machine Learning: TensorFlow, Keras, scikit-learn, pandas, NumPy
Web Development: HTML, CSS, JavaScript, Flask
Database Management Systems: Oracle, MySQL, PostgreSQL
Version Control: Git, GitHub
Geospatial Analysis: Leafmap, Leaflet, Folium
Big Data: ETL, PySpark
Data Visualization: Matplotlib, Seaborn

PROFESSIONAL EXPERIENCE

Postdoctoral Researcher
Space Techniques Center, Algerian Space Agency, Algeria
Jan 2022-Sep 2024

• Spearheaded the design and construction of Deep Learning models, taking ownership of
  initiatives to assess and enhance OpenStreetMap (OSM) data quality (3-person team)
• Pioneered the design and training of a bespoke segmentation model on Alsat-2 satellite images
  for land cover classification, delivering high-precision results (5-person team)
• Authored a comprehensive literature review on cutting-edge models for OSM data quality
  assessment, providing actionable insights
• Presented a research paper at the flagship conference GIScience 2023, demonstrating the impact
  of the work on a global stage

Computer Science Engineer
EHS LES PINS, Algeria
May 2014- Jun 2016

• Developed Java applications facilitating communication between radiologists and technicians,
  achieving a 70% reduction in radio film usage and significantly enhancing radiology service quality
• Maintained the hospital information system, ensuring data integrity and improving the system’s
  performance and reliability
  Managed and extended the hospital’s local area network, ensuring robust and reliable
  connectivity

Computer Science Instructor
Institute of Management and Enterprise Development of Oran, Algeria
Jan 2014-Mar 2014

• Delivered comprehensive courses in Computer Science, Office Automation, and Java
  programming to a group of 15 students, ensuring a high level of understanding
• Supervised and evaluated student assignments and exams, providing constructive feedback to
  promote learning and improvement

Part-time Teaching Assistant Jan 2012-June 2012
University of Science and Technology of Oran Mohamed Boudiaf, Algeria

• Instructed courses in Visual Basic Application for Excel and Matlab programming to a group of 20
  students, fostering a strong foundation in programming skills
• Guided students through complex programming concepts, enhancing their problem-solving
  abilities and technical knowledge

EDUCATION

Doctor of Engineering in Software Engineering
Wuhan University, China
Dec 2021

• Research conducted on quasi-convex optimization for gradient-based clustering algorithms,
  resulting in improving the performance of multi-database clustering
• Awarded a fully-funded scholarship to pursue a Doctorate of Engineering in China
• Published two high-quality journal papers and a China Computer Federation conference paper

Ph.D. in Information Systems Engineering
University of Science and Technology of Oran Mohamed Boudiaf, Algeria
Feb 2019

• Degree evaluated by WES as equivalent to a doctoral degree obtained in Canada
• Defended a thesis on Local Pattern Analysis strategy using graph-based classification algorithms
  and disjoint forests-based data structures resulting in enhancing the quality of multi-database
  mining and the decision-making processes
• Received Best Paper Presentation award at the COSI conference for an exceptional presentation
• Published three high-quality journal and conference papers

TRAINING AND CERTIFICATIONS

• MOOC in Spatial Data Science: The New Frontier in Analytics Nov 2022
  ESRI, Online
• Deep Learning Specialization Jul 2018
  Coursera, Online
• PyImageSearch Gurus Graduate Jun 2018
  PyImageSearch, Online