Harish Krishnamoorthy is one of four fellows recognized by the program — and the first from UH to receive the honor. Photo via UH.edu

A University of Houston professor has been selected by a national organization to “contribute to the understanding, management and reduction of systemic risk in offshore energy activities.”

The Gulf Research Program of the National Academies of Sciences, Engineering, and Medicine announced that Harish Krishnamoorthy, assistant professor of electrical and computer engineering at the University of Houston, is one of four selected early-career research fellows in the Offshore Energy Safety track. Krishnamoorthy is the first researcher from UH selected for the recognition.

“I am happy and honored to be the first one, but hopefully there will be a lot more in the coming years,” Krishnamoorthy says in a UH news release.

The award, which isn't granted based on a specific project, includes a $76,000 grant, mentor support, and access to a network of current and past cohorts.

Created in 2013, the program is an independent, science-based program founded as part of legal settlements with the companies involved in the 2010 Deepwater Horizon disaster. Its goal is "to enhance offshore energy system safety and protect human health and the environment by catalyzing advances in science, practice and capacity, generating long-term benefits for the Gulf of Mexico region and the nation," the release reads.

“These exceptional individuals are working hard to pursue new research, technical capabilities, and approaches that address some of the greatest challenges facing the Gulf and Alaska regions today,” says Karena Mary Mothershed, senior program manager for the Gulf Research Program’s Board on Gulf Education and Engagement. “We are incredibly excited to announce these new Early-Career Research Fellows, and to continue supporting them as they make lasting impacts.”

Krishnamoorthy, who also serves as associate director of the Power Electronics, Microgrids and Subsea Electric Systems Center at UH, has expertise is in power electronics, power converters, and offshore technologies. His research interests include high-density power conversion for grid interface of energy systems, machine learning-based methods for improvement in quality and reliability of power electronics, advanced electronics and control for mission-critical applications.

According to Krishnamoorthy, there are around 1,500 offshore rigs — with a large amount located North Sea and the Gulf of Mexico. There's a need to improve existing systems, according to Krishnamoorthy, and this process of evolving the grid comes with safety risks and challenges.

“When there are so many electronics involved, safety and reliability are going to be very critical,” Krishnamoorthy says in he release. “I have been looking at safety aspects a lot in my research as well as how to connect subsea oil and gas systems with offshore renewable systems.”

In 2022, Krishnamoorthy was recognized as an OTC Emerging Leader at the Offshore Technology Conference for his contributions to offshore safety and workforce development in offshore, as well as reducing the carbon emissions.

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Austin company to bring AI-powered school to The Woodlands

AI education

Austin-based Alpha School, which operates AI-powered private schools, is opening its first Houston-area location in The Woodlands.

The 8,000-square-foot school, scheduled to be ready for the 2026-27 academic year, initially will serve students in kindergarten through eighth grade. Alpha says the school will offer “open workshop spaces and innovative classrooms that support personalized instruction, core academics, leadership development, and real-world life skills.”

Alpha sets aside two hours each school day for the AI-driven, self-paced study of core subjects like math, reading and science. The rest of each school day consists of life-skills workshops focusing on topics such as leadership and financial literacy.

Alpha’s school in The Woodlands has begun accepting applications for the 2026-27 school year. Annual tuition costs $40,000.

“The Woodlands is one of the most dynamic, forward-thinking communities in Texas, and Alpha is proud to bring

an innovative educational model that complements its strong academic foundation,” says Rachel Goodlad, head

of expansion for Alpha.

Founded in 2014, Alpha School combines adaptive technology-driven instruction with immersive life-skills workshops. Its model emphasizes mastery-based learning in core subjects alongside development of communication, critical thinking, financial literacy and leadership skills. It operates more than 15 schools across the country.

Elsewhere in Texas, Alpha operates schools in Austin, Brownsville, Fort Worth and Plano. Alpha also operates 12 Texas Sports Academy campuses in Texas, including locations in Houston, Pearland and Richmond, along with a NextGen Academy esports school in Austin, a school for gifted students in Georgetown, and lower-cost Nova Academy campuses in Austin and Bastrop.

Alpha has fans and critics. While supporters tout students’ high achievement rates, detractors complain about the high tuition and the AI-influenced depersonalization of education.

“Students and our country need to be in relationship with other human beings,” Randi Weingarten, president of the American Federation of Teachers, a teachers union, tells The New York Times. “When you have a school that is strictly AI, it is violating that core precept of the human endeavor and of education.”

Alpha co-founder MacKenzie Price, a podcaster and social media influencer, doesn’t share Weingarten’s views.

“Parents and teachers: We need to embrace this change,” Price wrote after President Trump signed an executive order promoting AI in schools.

The Times notes that Alpha doesn’t employ AI as a tutor or a supplement. Rather, the newspaper says, AI is “the school’s primary educational driver to move students through academic content.”

Houston researcher secures $1.7M to develop drug for aggressive form of breast cancer

cancer research

A University of Houston researcher has joined a $3.2 million effort to develop a new drug designed to attack a cancer-driving protein commonly found in triple-negative breast cancer.

Triple-negative breast cancer (TNBC) is one of the most difficult-to-treat forms of cancer and accounts for 10 percent to 15 percent of all breast cancer cases. The disease gets its name because tumors associated with it test negative for estrogen receptors, progesterone receptors and excess HER2 protein, making it difficult to target. Due to this, TNBC is often treated with general chemotherapy, which can come with negative side effects and drug resistance, according to UH.

UH College of Pharmacy research associate professor Wei Wang is developing a drug that can target the disease more specifically. The drug will target MDM2, a protein often overproduced in TNBC that also contributes to faster tumor growth.

Wang is working on a team led by Wei Li, director of the University of Tennessee Health Science Center College of Pharmacy’s Drug Discovery Center. She has received $1.7 million to support the research.

Wang and UH professor of pharmacology and toxicology Ruiwen Zhang have discovered a compound that can break down MDM2. In early laboratory models, the compound has shown the ability to shrink tumors.

Wang and Zhang will focus on understanding how the treatment works and monitoring its effectiveness in models that closely mirror human disease.

“We will study how the drug targets MDM2 and evaluate the most promising drug candidates to determine effective dosing, understand how the drug behaves in the body, compare it with existing treatments and assess early safety,” Wang said in a news release.

Li’s team at the University of Tennessee will be working on the chemistry and drug design end of the project.

“This work could lead to an entirely new class of therapies for triple-negative breast cancer,” Li added in the release. “We’re hopeful that by directly removing the MDM2 protein from cancer cells, we can help more patients respond to treatment regardless of their tumor type.”