Ten individuals from Rice University have been named to the second cohort of the Innovation Fellowship program. Photos via Rice.edu

A program with a mission to translate research into innovative startups has named its 2023 cohort of fellows.

Rice University's Innovation Fellows program, which is run by the Liu Idea Lab for Innovation and Entrepreneurship and the Office of Innovation, has announced the 10 innovators that will be joining the program this year. The program, open to Rice faculty and doctoral and postdoctoral students, provides support — funding, mentorship, and more — to move innovation out of labs and into commercialization.

“The Rice Innovation Fellows program is a critical part of our efforts to support innovation and entrepreneurship,” Rice President Reginald DesRoches says in a news release. “These exceptional individuals represent some of the most innovative and promising research being conducted at Rice, and we’re thrilled to support them as they work to bring their ideas to the world.”

According to the release, the 10 members of the 2023 cohort are:

  • Martha Fowler, a doctoral student from the bioengineering lab of Omid Veiseh
  • Carson Cole, a doctoral student from the chemistry lab of Jeff Hartgerink
  • Fatima Ahsan, a doctoral student from the electrical and computer engineering lab of Behnaam Aazhang
  • Siraj Sidhik, a doctoral student from the materials science and nanoengineering lab of Aditya Mohite
  • Roman Zhuravel, a postdoctoral student from the physics and astronomy lab of Guido Pagano
  • Samira Aghlara-Fotovat, a doctoral student from the bioengineering lab of Veiseh
  • Clarke Wilkirson, a doctoral student from the mechanical engineering lab of Peter Lillehoj
  • Yuren Feng, a doctoral student from the civil and environmental engineering lab of Qilin Li
  • Yang Xia, a doctoral student from the chemical and molecular engineering lab of Haotian Wang
  • Thao Vy Nguyen, a doctoral student from the chemical engineering lab of Sibani Lisa Biswal

Each of Rice's Innovation Fellows will receive up to $20,000 in funding, as well as access to the university's network for mentorship and training.

“We're incredibly excited to welcome this exceptional group of researchers into the Innovation Fellows program,” says Yael Hochberg, head of the Rice Entrepreneurship Initiative and faculty director for Lilie, in the release. “We look forward to working with them as they bring their groundbreaking research to market and make a real impact on the world.”

Last year's inaugural cohort in raised more than $1 million in venture capital funding and over $3 million in additional nondilutive funding, as well as earning more than $500,000 in revenue.

Some of the 2022 cohort's accomplishments included Helix Earth Technologies winning the inaugural TEX-E Prize and Sygne Solutions securing second place and $200,000 at the 2023 Rice Business Plan Competition.

Paul Cherukuri, Rice’s vice president for innovation, who recently joined the Houston Innovators Podcast, explains how this is one avenue Rice has for getting innovation off campus and into industry.

“With commercialization of research at the forefront of what Rice University wants to do,” says Cherukuri, "the Innovation Fellows program is the first in a constellation of programs and resources developed by the Office of Innovation to help impactful new ventures overcome the hard tech ‘valley of death’ and transition from the campus to the community, so we can help create the next generation of game-changing company for Houston, Texas and the world,."

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UH receives $2.6M gift to support opioid addiction research and treatment

drug research

The estate of Dr. William A. Gibson has granted the University of Houston a $2.6 million gift to support and expand its opioid addiction research, including the development of a fentanyl vaccine that could block the drug's ability to enter the brain.

The gift builds upon a previous donation from the Gibson estate that honored the scientist’s late son Michael, who died from drug addiction in 2019. The original donation established the Michael C. Gibson Addiction Research Program in UH's department of psychology. The latest donation will establish the Michael Conner Gibson Endowed Professorship in Psychology and the Michael Conner Gibson Research Endowment in the College of Liberal Arts and Social Sciences.

“This incredibly generous gift will accelerate UH’s addiction research program and advance new approaches to treatment,” Daniel O’Connor, dean of the College of Liberal Arts and Social Sciences, said in a news release.

The Michael C. Gibson Addiction Research Program is led by UH professor of psychology Therese Kosten and Colin Haile, a founding member of the UH Drug Discovery Institute. Currently, the program produces high-profile drug research, including the fentanyl vaccine.

According to UH, the vaccine can eliminate the drug’s “high” and could have major implications for the nation’s opioid epidemic, as research reveals Opioid Use Disorder (OUD) is treatable.

The endowed professorship is combined with a one-to-one match from the Aspire Fund Challenge, a $50 million grant program established in 2019 by an anonymous donor. UH says the program has helped the university increase its number of endowed chairs and professorships, including this new position in the department of psychology.

“Our future discoveries will forever honor the memory of Michael Conner Gibson and the Gibson family,” O’Connor added in the release. “And I expect that the work supported by these endowments will eventually save many thousands of lives.”

CenterPoint and partners launch AI initiative to stabilize the power grid

AI infrastructure

Houston-based utility company CenterPoint Energy is one of the founding partners of a new AI infrastructure initiative called Chain Reaction.

Software companies NVIDIA and Palantir have joined CenterPoint in forming Chain Reaction, which is aimed at speeding up AI buildouts for energy producers and distributors, data centers and infrastructure builders. Among the initiative’s goals are to stabilize and expand the power grid to meet growing demand from data centers, and to design and develop large data centers that can support AI activity.

“The energy infrastructure buildout is the industrial challenge of our generation,” Tristan Gruska, Palantir’s head of energy and infrastructure, says in a news release. “But the software that the sector relies on was not built for this moment. We have spent years quietly deploying systems that keep power plants running and grids reliable. Chain Reaction is the result of building from the ground up for the demands of AI.”

CenterPoint serves about 7 million customers in Texas, Indiana, Minnesota and Ohio. After Hurricane Beryl struck Houston in July 2024, CenterPoint committed to building a resilient power grid for the region and chose Palantir as its “software backbone.”

“Never before have technology and energy been so intertwined in determining the future course of American innovation, commercial growth, and economic security,” Jason Wells, chairman, president and CEO of CenterPoint, added in the release.

In November, the utility company got the go-ahead from the Public Utility Commission of Texas for a $2.9 billion upgrade of its Houston-area power grid. CenterPoint serves 2.9 million customers in a 12-county territory anchored by Houston.

A month earlier, CenterPoint launched a $65 billion, 10-year capital improvement plan to support rising demand for power across all of its service territories.

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This article originally appeared on our sister site, EnergyCapitalHTX.com.

Houston researchers develop material to boost AI speed and cut energy use

ai research

A team of researchers at the University of Houston has developed an innovative thin-film material that they believe will make AI devices faster and more energy efficient.

AI data centers consume massive amounts of electricity and use large cooling systems to operate, adding a strain on overall energy consumption.

“AI has made our energy needs explode,” Alamgir Karim, Dow Chair and Welch Foundation Professor at the William A. Brookshire Department of Chemical and Biomolecular Engineering at UH, explained in a news release. “Many AI data centers employ vast cooling systems that consume large amounts of electricity to keep the thousands of servers with integrated circuit chips running optimally at low temperatures to maintain high data processing speed, have shorter response time and extend chip lifetime.”

In a report recently published in ACS Nano, Karim and a team of researchers introduced a specialized two-dimensional thin film dielectric, or electric insulator. The film, which does not store electricity, could be used to replace traditional, heat-generating components in integrated circuit chips, which are essential hardware powering AI.

The thinner film material aims to reduce the significant energy cost and heat produced by the high-performance computing necessary for AI.

Karim and his former doctoral student, Maninderjeet Singh, used Nobel prize-winning organic framework materials to develop the film. Singh, now a postdoctoral researcher at Columbia University, developed the materials during his doctoral training at UH, along with Devin Shaffer, a UH professor of civil engineering, and doctoral student Erin Schroeder.

Their study shows that dielectrics with high permittivity (high-k) store more electrical energy and dissipate more energy as heat than those with low-k materials. Karim focused on low-k materials made from light elements, like carbon, that would allow chips to run cooler and faster.

The team then created new materials with carbon and other light elements, forming covalently bonded sheetlike films with highly porous crystalline structures using a process known as synthetic interfacial polymerization. Then they studied their electronic properties and applications in devices.

According to the report, the film was suitable for high-voltage, high-power devices while maintaining thermal stability at elevated operating temperatures.

“These next-generation materials are expected to boost the performance of AI and conventional electronics devices significantly,” Singh added in the release.