RD

Ramzi Dakhmouche

AI PhD student
Request removal
Email: ****e@epfl.ch
LinkedIn: Ramzi Dakhmouche
Location: Lausanne Metropolitan Area
Current employer: EPFL
Current title:
AI Phd Student
Last updated: 12/04/2024 11:00 AM
Get valid emails for Ramzi and 500M other professionals
20 free emails each month. No credit card required.
500M
Business Profiles
20M
Company Profiles
200M
Email addresses
98%+
Email Delivery
About

Ramzi Dakhmouche is from Lausanne Metropolitan Area. Ramzi is currently AI Phd Student at EPFL. In Ramzi's previous role as a AI Research Fellow at Munich Center for Space Communications, Ramzi worked in until Mar 2023. Prior to joining Munich Center for Space Communications, Ramzi was a AI Research Internship at Ericsson and held the position of AI Research Internship at Greater Stockholm Metropolitan Area. Prior to that, Ramzi was a Statistical Learning Research Project at Universite Paris-Saclay from Apr 2021 to Jun 2021.

Go to finalscout.com and type Ramzi Dakhmouche's name into the search box for a free email address. FinalScout is a professional database with more than 500 million business professionals and 200 million company executives.

Ramzi Dakhmouche's current jobs
Company: EPFL
Title: AI Phd Student
Period: Apr 2023 - Present (1 year, 7 months)

Robust Data-Driven Modeling and Control of Partially Observable Networks

Ramzi Dakhmouche's past jobs
Company: Munich Center for Space Communications
Title: AI Research Fellow
Period: Jan 2023 - Mar 2023 (2 months)

Reinforcement learning for optimal frequency allocation in satellite communications

Company: Ericsson
Title: AI Research Internship
Period: May 2022 - Oct 2022 (5 months)
Location: Greater Stockholm Metropolitan Area

Sequential decision learning for (telecommunication) network optimization. - Conducted original research in sequential decision learning under uncertainty for telecom application.

Title: Statistical Learning Research Project
Period: Apr 2021 - Jun 2021 (2 months)

Algorithmic stability for generalization guarantees. Study of generalization bounds through concentration inequalities.

Ramzi Dakhmouche's education
École normale supérieure Paris-Saclay
Master's degree
Université Paris-Saclay
Bachelor's degree
Ramzi Dakhmouche's top skills
Research and Development (R&D) R (Programming Language) Deep Learning Reinforcement Learning Optimization Python (Programming Language) C++ Statistics Computer Vision Machine Learning Algorithms Topological Data Analysis English Analytical Skills Data Analysis Machine Learning PyTorch Applied Mathematics Probability Theory Statistical Computing
Scrape emails from LinkedIn for free
20 free emails each month. No credit card required.
Regular search results
Search for leads on linkedin.com and scrape the search results
Sales Navigator search results
Search for leads in LinkedIn sales navigator and scrape the search results
Group members
Scrape members from any LinkedIn group without joining it
Event attendees
Scrape event attendees from any LinkedIn event
Directory