Emmanuel Ekwedike, Ph.D.

AI Research Scientist and Engineer | Published Researcher | World Traveler | Keynote Speaker

Emmanuel Ekwedike, Ph.D., is a Machine Learning Research Scientist and a collaborative problem-solver with 6+ years of research experience and a track record of delivering quality results in all facets of product development for businesses with either B2B or B2C business models. As a Machine Learning Research Scientist, his strengths help build better products and empower businesses to make sustainable business decisions.





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Public Speaker

Speaker Topics​

  • How The Field of Technology Can Help Build Generational Wealth
  • Leveraging Data For Decision-Making
  • The Future of Work - Will AI and Robots Take Our Jobs?
  • Emerging Technologies: Artificial Intelligence (AI)







20

Clients and Counting

                     

6

Years of Experience

                     

40

Countries Represented

4

2021 Engagements

                     

5

2022 Engagements Booked to Date

                     

3

2023 Engagements Booked to Date





* This website is under construction

The first step in blogging is not writing them but reading them

A Practical Guide to Breaking into the Tech Industry

Artificial Intelligence (AI): What It Is and Why It is Important

Are Human Employees Becoming Obsolete in the Age of Automation?












World Traveler



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Publications (book & Articles)

  • TOP: Backdoor Detection in Neural Networks via Transferability of Perturbation

  • Feedback-Based Tree Search for Reinforcement Learning

  • Highly Scalable Verifiable Encrypted Search

  • Group Symmetries and Bike Sharing for M/M/1/k Queueing Transience