fusion funding

UH lands $8M in federal funding for fusion energy research

The University of Houston is one of 23 institutions to be awarded DOE funding for fusion research. Photo courtesy UH.

The University of Houston will receive $8 million in federal funding from the U.S. Department of Energy for its work on fusion technology to help power data centers and medical work.

Venkat Selvamanickam, professor at UH’s Cullen College of Mechanical and Aerospace Engineering and director of the Advanced Manufacturing Institute, has been tasked to lead the research on superconducting magnets that he said will make compact fusion reactors possible.

“Beyond fusion, superconductors can transform how we deliver power to data centers, enable highly efficient motors and generators and improve electric power devices,” Selvamanickam said in a news release. “They also enable critical applications such as MRI and proton beam therapy for cancer treatment. I want society to experience the broad benefits this remarkable technology can provide.”

UH is one of 23 institutions selected to share part of $134 million from the DOE’s Fusion Energy Sciences division. The total funding is split across two initiatives: $128 million for the Fusion Innovation Research Engine (FIRE) and $6.1 million for the Innovation Network for Fusion Energy program, according to the university.

UH will partner with the FIRE Collaborative for the research, which looks to understand why superconducting magnets in fusion reactors break down and work on developing solutions to make them more resilient.

“The advantage of fusion is it’s clean and it does not require storage. Solar energy can’t be used at night, and wind energy depends on wind conditions,” Selvamanickam added in the release. “Our goal is to make fusion a truly viable energy source.”

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A View From HETI

Merab Momen, founder of AI CTO Services. Courtesy Photo

Artificial intelligence is now everywhere. It is mentioned in every startup pitch deck, and every corporate roadmap claims to use it. However, many early-stage businesses struggle with the simple question, “What does AI actually mean for my business?”

In a recent podcast episode of EnergyTech Startups, Merab Momen, founder of AI CTO Services and a long time AI practitioner, explains why most founders misunderstand AI, how startups can practically apply it and why Houston is quietly becoming a serious hub for AI-driven innovation.

Filling the AI Leadership Gap

Merab’s career has spanned decades of technology transitions. He worked on neutral networks in the 1990s, constructed computer vision systems long before they were common, and helped install AI solutions inside huge industrial companies. However, he noticed a huge problem when generative AI started to explode into the mainstream-The requirement of a real partner by the founders for AI integration but inability to rely on a full-time CTO and project-based consultants.

“I really needed something which is much more engaging where I can give that partner-level advice to the founders,” he said. By giving firms on-demand access to high-level AI knowledge and expertise, his methodology enables them to analyse tools, steer clear of cost blunders and eventually transition to a permanent technology leader when the time is right.

AI is Older than Most People Think

Despite its recent rise in popularity, AI is nothing new. AI actually began in the 1950s. Merab in his conversation explained how he worked on his first AI project back in the year 1996 that worked perfectly, but the processing power wasn’t just there to make it practical. He continued how he utilized the swarm intelligence models to optimize supply chains, now referred to as MLPOs and data engineering.

From Language Models to Physical World

Much of the public conversation about AI revolves around chatbots and text generation. But Merab sees far greater potential in AI’s interaction with the physical world, especially in industrial settings. He emphasized edge computing and vision language models (VLMs) as significant advances in manufacturing and energy. This physical shift is opening doors for new opportunities for robotics, automated inspections, and industrial safety applications. Merab added that Houston is uniquely positioned for this transition.

Why Houston has an AI Advantage

Silicon Valley may dominate the AI headlines, but Merab believes Houston’s advantage lies beneath the surface. The city doesn’t lag in AI utilization; it just operates in industries where results show differently.

Machine learning isn’t new to Houston’s core industries. Energy companies, manufacturers, logistics providers, and healthcare systems have been using advanced analytics for decades. The difference lies in them innovating in industrial sectors rather than consumer technology.

What’s Next

With the AI CTO Services growing, Merab is working with startups across industries to deploy AI in practical, business-first ways.

He is more interested in assisting founders in finding answers to critical issues than following new trends.

For Houston’s energy and climate tech community, it needs to transform AI enthusiasm into real-world impact.

Listen to the full conversation with Mehrab Momin on the Energy Tech Startups Podcast to learn more.

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Energy Tech Startups Podcast is hosted by Jason Ethier and Nada Ahmed. It delves into Houston's pivotal role in the energy transition, spotlighting entrepreneurs and industry leaders shaping a low-carbon future.


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