The Conference for Machine Learning Innovation

Dr. Majid Baa Wafaa

Dr. Majid Baa Wafaa
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Until June 2
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Join the ML Revolution!
Until June 2
✓ Save up to 226€
✓ Group discount
✓ Special discount for freelancers
Register Now
Thank you for attending!
Register Now
Thank you for attending!
Register Now
Join the ML Revolution!
Register until conference starts:
✓ 2 in 1 conference special
✓ 10 % Team Discount
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Join the ML Revolution!
Register until conference starts:
✓ 2 in 1 conference special
✓ 10 % Team Discount
Register Now

Dr. Majid Baa Wafaa

RecomAI

I have completed my Ph.D. in electrical engineering (optimization techniques and operational technology) from École de Technologie Supérieure (ÉTS), and postdoctoral studies from HEC Montréal, and ÉTS. I have been an optimization researcher and operational technology scientist in different research teams at various companies. I have both academic and industrial experiences in the field of operational technology from 2005. Although I enjoy all aspects of this field, my top four areas of research interest are optimization, AI application, system modeling and simulation. I now work as a system developer at RecomAI company.

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All talks by Dr. Majid Baa Wafaa

München 2022 Munich 2022 -

Deep Learning in Image and Video Applications




All talks by Dr. Majid Baa Wafaa from other editions

Berlin 2021 Berlin 2021 -

Integrated Reinforcement learning and imitation learning using deep transfer learning Workshop: Part 1



All talks by Dr. Majid Baa Wafaa

No current talks available.

All talks by Dr. Majid Baa Wafaa from other editions

München 2022 Munich 2022 -

Deep Learning in Image and Video Applications



Berlin 2021 Berlin 2021 -

Integrated Reinforcement learning and imitation learning using deep transfer learning Workshop: Part 1



All talks by Dr. Majid Baa Wafaa

Berlin 2021 Berlin 2021 -

Integrated Reinforcement learning and imitation learning using deep transfer learning Workshop: Part 1




All talks by Dr. Majid Baa Wafaa from other editions

München 2022 Munich 2022 -

Deep Learning in Image and Video Applications



Behind the Tracks