Digital / AI / ML Program

Research & Development Technical Section (RDTS)

Advancing data-driven decision making, artificial intelligence, and computational innovation across the energy value chain.

Program Leadership Overview Program Initiatives Get Involved
Program Leadership

Digital / AI / ML Program Board

Steering RDTS activities in artificial intelligence, data analytics, digitalization, and advanced computing.

Yogashri Pradhan
Program Chair · Young Professional
Dr. Zikri Bayraktar
Director
Joel Sekyl Mensah
Young Professional
Prof. Sid Misra
Deputy Program Chair
Dr. Andrei Popa
Director
Dr. Ashutosh Sharma
Young Professional
Dr. Mohamed Sidahmed
Deputy Program Chair
Dr. Steven Samoil
Member-at-Large
Interdisciplinary researcher experienced in combining ML/AI, quantum computing, and high-performance computing to solve optimization, numerical simulation, and image classification problems across scientific domains.
Program Overview

Why Digital / AI / ML?

The Digital / AI / ML Program within RDTS focuses on applying advanced analytics, artificial intelligence, machine learning, and computational technologies to accelerate research, improve operational decisions, and unlock new value across subsurface, production, facilities, and emerging energy systems.

Businessman hand holding blue earth and global networking connection,blockchain,virtual technology,big data,iot,rpa,artificial intelligence(ai),network concept,Elements of this image furnished by NASA

  • AI/ML for subsurface characterization and forecasting
  • Physics-informed and hybrid modeling
  • Digital twins and simulation-driven workflows
  • Advanced computing, including quantum applications
  • Trust, governance, and deployment of AI in operations
Program Initiatives

Key Activities & Focus Areas

Flagship Initiative

Quantum Computing Workshop — Rice University

Two-day in-person workshop planned for May 2026, bringing together academia and industry to explore quantum computing applications in energy research and engineering.

Ongoing Program

AI Forum & Virtual Networking

Periodic virtual coffee hours and forums to connect practitioners, researchers, and students working on AI-driven energy applications.

Content Pipeline

Research Showcases & Tech Watch

~20 research-focused presentations per year highlighting cutting-edge digital R&D, supported by a quarterly Tech Watch and newsletter.

Featured initiative: RDTS Digital / AI / ML program spotlight on LinkedIn

Visual Highlights

Program in Action

Image placeholder — workshop / forum

Image placeholder — research showcase
Get Involved

Contribute to the Digital / AI / ML Program

  • Propose webinars, workshops, or panels
  • Submit research talks or demonstrations
  • Volunteer for program committees or student engagement
  • Contribute to newsletters and Tech Watch content

Contact the RDTS Digital / AI / ML leadership team via sperdts@outlook.com.

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