About SEMS Technologies

Built by an engineer.
Designed for real industry.

SEMS Technologies LLC was founded to bridge a specific gap in U.S. industrial infrastructure — the absence of AI-native energy management built for the operational realities of refineries, chemical plants, and manufacturing facilities.

S

Shaker Al-Ameer

Founder & Chief Executive Officer
SEMS Technologies LLC
Oil & Gas Engineering Energy Systems Applied ML / RL SCADA Systems Industrial AI
The founder

Engineering expertise across oil & gas, energy systems, and industrial AI

SEMS Technologies was built on a rare combination of domain expertise and technical depth. Most industrial AI platforms are built by software engineers who don't understand refinery operations. Most energy engineers don't understand machine learning. SEMS bridges both.

The founder holds a B.S. in Oil & Gas Engineering and an M.S.-equivalent in Energy Systems Engineering, with research and fieldwork spanning petroleum operations, industrial energy management, and applied machine learning for energy optimization — credentials evaluated and verified by a NACES-member U.S. credential evaluation organization.

  • M.S. Energy Systems Engineering — U.S. equivalent, TEC Credential Evaluation No. 002561355
  • B.S. Oil & Gas Engineering — Ivano-Frankivsk National Technical University of Oil and Gas
  • SPE paper SPE-227886-MS presented at ATCE, Houston, Texas — competitively selected
  • U.S. Provisional Patent No. 63/949,198 — SEMS platform core architecture
  • Independent expert endorsements from Dr. Iraj Ershaghi (NAE member, USC) and Dr. Chicheng Xu (SPE Journal)
  • Affiliated with Tennessee AI commercialization network — AI TechX, University of Tennessee Knoxville
  • SEMS Technologies LLC registered in Tennessee, 2026
Research & intellectual property

Peer-reviewed research. Protected innovation.

The SEMS platform is grounded in published technical research and protected under U.S. intellectual property law — not a concept, not a pitch deck.

SPE Conference Paper · Peer-reviewed
Smart Energy Management System for Industrial Facilities
SPE-227886-MS · Society of Petroleum Engineers Annual Technical Conference & Exhibition · Houston, Texas

Competitively selected and presented to an international audience of petroleum and energy engineering professionals. Available on OnePetro.
Peer-reviewed · Published
Working Paper · SSRN No. 5576572
AI-Driven Industrial Energy Optimization: Framework, Validation & Deployment Architecture
Pre-publication technical manuscript establishing the complete SEMS methodology, system architecture, and offline validation framework.

Available via Social Science Research Network (SSRN).
Available on SSRN
U.S. Intellectual Property · USPTO
Provisional Patent Application No. 63/949,198
United States Patent and Trademark Office.

Protecting the core ML/RL-based dispatch optimization architecture and SCADA integration methodology underlying the SEMS platform.
USPTO Filed
Expert Validation
Independent endorsements from senior field experts
Technical review and endorsement from Dr. Iraj Ershaghi (National Academy of Engineering member, University of Southern California) and Dr. Chicheng Xu (SPE Journal), among other senior independent experts in petroleum engineering and industrial energy systems.
NAE Member Endorsed

Solving a real U.S. industrial problem — one facility at a time

We are currently accepting a limited number of pilot partnerships with U.S. industrial operators. If your facility is spending more on energy than it should, we want to talk.

Apply for Pilot Partnership →