Three UH researchers are revolutionizing the way we think the brain works. Andriy Onufriyenko/Getty Images

While a lot of scientists and researchers have long been scratching their heads over complicated brain functionality challenges, these three University of Houston researchers have made crucial discoveries in their research.

From dissecting the immediate moment a memory is made or incorporating technology to solve mobility problems or concussion research, here are the three brain innovations and findings these UH professors have developed.

Brains on the move

Professor of biomedical engineering Joe Francis is reporting work that represents a significant step forward for prosthetics that perform more naturally. Photo courtesy of UH Research

Brain prosthetics have come a long way in the past few years, but a UH professor and his team have discovered a key feature of a brain-computer interface that allows for an advancement in the technology.

Joe Francis,a UH professor of biomedical engineering, reported in eNeuro that the BCI device is able to learn on its own when its user is expecting a reward through translating interactions "between single-neuron activities and the information flowing to these neurons, called the local field potential," according to a UH news release. This is all happening without the machine being specifically programmed for this capability.

"This will help prosthetics work the way the user wants them to," says Francis in the release. "The BCI quickly interprets what you're going to do and what you expect as far as whether the outcome will be good or bad."

Using implanted electrodes, Francis tracked the effects of reward on the brain's motor cortex activity.

"We assume intention is in there, and we decode that information by an algorithm and have it control either a computer cursor, for example, or a robotic arm," says Francis in the release.

A BCI device would be used for patients with various brain conditions that, as a result of their circumstances, don't have full motor functionality.

"This is important because we are going to have to extract this information and brain activity out of people who cannot actually move, so this is our way of showing we can still get the information even if there is no movement," says Francis.

Demystifying the memory making moments

Margaret Cheung, a UH professor, is looking into what happens when a memory is formed in the brain. Photo courtesy of UH Research

What happens when a brain forms a new memory? Margaret Cheung, a UH professor in the school of physics, computer science, and chemistry, is trying to find out.

Cheung is analyzing the exact moment a neuron forms a memory in our brains and says this research will open doors to enhancing memory making in the future.

"The 2000 Nobel laureate Eric Kandel said that human consciousness will eventually be explained in terms of molecular signaling pathways. I want to see how far we can go to understand the signals," says Cheung in a release.

Cheung is looking at calcium in particular, since this element impacts most of cellular life.

"How the information is transmitted from the calcium to the calmodulin and how CaM uses that information to activate decisions is what we are exploring," says Cheung in the release. "This interaction explains the mechanism of human cognition."

Her work is being funded by a $1.1 million grant from the National Institute of General Medical Science from the National Institutes of Health, and she's venturing into uncharted territories with her calcium signaling studies. Previous research hasn't been precise or conclusive enough for real-world application.

"In this work we seek to understand the dynamics between calcium signaling and the resulting encoded CaM states using a multiphysics approach," says Cheung. "Our expected outcome will advance modeling of the space-time distribution of general secondary messengers and increase the predictive power of biophysical simulations."

New tech for brain damage treatment

Badri Roysam, chair of the University of Houston Department of Electrical and Computer Engineering, is leading the project that uncovering new details surrounding concussions. Photo courtesy of UH Research

Concussions and brain damage have both had their fair shares of question marks, but this UH faculty member is tapping into new technologies to lift the curtain a little.

Badri Roysam, the chair of the University of Houston Department of Electrical and Computer Engineering, is heading up a multimillion-dollar project that includes "super microscopes" and the UH supercomputer at the Hewlett Packard Enterprise Data Science Institute. Roysam calls the $3.19 million project a marriage between these two devices.

"By allowing us to see the effects of the injury, treatments and the body's own healing processes at once, the combination offers unprecedented potential to accelerate investigation and development of next-generation treatments for brain pathologies," says Roysam in a release.

The project, which is funded by the National Institute of Neurological Disorders and Stroke (NINDS), is lead by Roysam and co-principal investigator John Redell, assistant professor at UTHealth McGovern Medical School. The team also includes NINDS scientist Dragan Maric and UH professors Hien Van Nguyen and Saurabh Prasad.

Concussions, which affect millions of people, have long been mysterious to scientists due to technological limitations that hinder treatment options and opportunities.

"We can now go in with eyes wide open whereas before we had only a very incomplete view with insufficient detail," says Roysam in the release. "The combinations of proteins we can now see are very informative. For each cell, they tell us what kind of brain cell it is, and what is going on with that cell."

The technology and research can be extended to other brain conditions, such as strokes, brain cancer, and more.

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Houston college joins inaugural workforce accelerator supported by Google

hands-on training

Houston City College (HCC) is one of 15 community colleges from around the country to be selected for the first-ever Workforce Futures Accelerator.

The three-year effort is supported by Google.org, the tech company’s philanthropic arm, and led by the Association of Community College Trustees (ACCT), a non-profit educational organization that represents over 500 community, junior, and technical colleges. The accelerator focuses on helping colleges embed virtual, employer-sponsored training opportunities into short-term workforce training programs, giving participants access to opportunities that they might otherwise receive through internships or other "work-based learning" stints.

"The Workforce Futures Accelerator reflects the Houston City College mission of offering a high-quality, affordable education for workforce training and career development," Pretta VanDible Stallworth, HCC trustee and chair-elect of the ACCT board of directors, said in a news release. "Advancing student success and creating pathways to opportunities ensures that our students are well equipped to succeed and build a secure future in today's economy.”

Through the accelerator, HCC is tasked with fusing online project-based learning opportunities with its workforce education programs. The idea is to give students hands-on experiences working on projects sponsored by employers, allowing them to gain real-world knowledge in the process.

HCC will select two workforce programs that meet the accelerator’s criteria and insert into them into coursework. In the second and third year of the accelerator, the selected colleges are expected to scale the programs by adding instructors and programs to develop a network of to support their continued implementation.

“Participation by HCC will strengthen how we provide students with career-connected learning experiences that complement their classroom education and align with the needs of employers,” HCC Chancellor Margaret Ford Fisher added in the news release. “We are focused on ‘future forward’ strategies to meet the present and future needs of our region’s businesses.”

Two other Texas colleges were chosen to participate in the accelerator: Lamar Institute of Technology in Beaumont and Grayson College in Denison.

The remaining cohort includes:

  • Bergen Community College in Paramus, New Jersey
  • Central Louisiana Community College in Alexandria, Louisiana
  • Clark State College in Springfield, Ohio
  • Great Basin College in Elko, Nevada
  • Heartland Community College in Normal, Illinois
  • Hudson County Community College in Jersey City, New Jersey
  • Manchester Community College in Manchester, New Hampshire
  • Mesa Community College in Mesa, Arizona
  • Mohave College in Kingman, Arizona
  • San Joaquin Delta Community College in Stockton, California
  • San Juan College in Farmington, New Mexico
  • West Virginia University Parkersburg in Parkersburg, West Virginia

New report ranks Texas among top 10 states where AI could disrupt jobs

AI Workforce

A new nationwide report examining where AI could "reshape" the most jobs has ranked Texas No. 9 among the most at-risk states for AI job disruption.

The new SmartAsset report compared all 50 states and the District of Columbia to calculate the estimated percent of the workforce employed in the 26 occupations with the highest AI exposure, as determined by June 2026 research by the Virginia Economic Information and Analytics Division.

The findings revealed that 500,000 Texas workers, or 3.55 percent of the total workforce, are employed in occupations with "high exposure to potential AI disruption."

This also places the Lone Star State as the 9th most at-risk state in the U.S. where AI exposure can lead to "declining hiring demand, wage pressure, task automation, and other forms of disruption."

"States with larger concentrations of highly exposed occupations could experience more pronounced labor-market changes, particularly in roles where core tasks are more vulnerable to AI-driven restructuring," the report's author wrote.

Texas' biggest cities, like Houston and Austin, are known for their thriving tech and business industries, and the study noted that many of the occupations within those sectors are the most at risk. The Virginia Economic Information and Analytics Division said the top five most AI-exposed occupations in the U.S. are: mathematicians, proofreaders, correspondence clerks, court reporters, and media and communication workers. Additionally, computer programmers, database administrators, web developers, telephone operators, and communications equipment operators round out the top 10 most at-risk positions.

These are the 16 remaining occupations most exposed to AI disruption, in order:

  • Data Entry Keyers
  • Statistical Assistants
  • Office Support Workers
  • Interpreters and Translators
  • Database Architects
  • Software Quality Assurance Analysts
  • Medical Transcriptionists
  • Software Developers
  • Writers and Authors
  • Payroll Clerks
  • Web Designers
  • Miscellaneous Computer Occupations
  • Insurance Claims Processors
  • Telemarketers
  • Computer Numerically Controlled Tool Programmers
  • Bookkeeping and Accounting Clerks

A separate SmartAsset report from April 2026 found about 20.5 percent of Texas workers use AI to do their jobs in some capacity. That trend will continue to shift further as employers and employees choose to adopt — or reject — AI implementation.

Across the U.S., Washington topped the list as the state with the highest concentration of AI-exposed jobs, with nearly 5.7 percent of the state's workforce employed in the 26 most at-risk positions. SmartAsset said Washington's high prevalence of technology companies is a significant factor that skyrocketed the state to the top of the list.

"Home to major technology companies including Microsoft, Amazon, T-Mobile and Expedia, the state has large numbers of computer programmers and software developers, two occupations with high exposure," the report said.

Meanwhile, Mississippi ranked No. 51 with the lowest concentration of AI-exposed jobs in the nation. About 22,500 workers in Mississippi, or 1.93 percent of its workforce, are at risk for AI disruption.

The top 10 states where AI could reshape the most jobs are:

  • No. 1 – Washington
  • No. 2 – Virginia
  • No. 3 – District of Columbia
  • No. 4 – California
  • No. 5 – Utah
  • No. 6 – Maryland
  • No. 7 – Colorado
  • No. 8 – New Hampshire
  • No. 9 – Texas
  • No. 10 – North Carolina
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This article originally appeared on CultureMap.com.

UH lands $1.2M NIH grant to fight superbugs using AI, quantum sensing

drug defense

The fight against antibiotic-resistant bacteria like MRSA is getting science fiction-like upgrades at the University of Houston thanks to a new four-year, $1.26 million grant from the National Institutes of Health.

The university says the recent funding brings total federal support up to $3.5 million for 11 years for the project, which uses AI and quantum-sensing technology to better understand how bacterial proteins develop resistance to drugs.

Any medical professional will tell you that one of the worst things that can happen is almost killing an infection. Bacteria that survive attacks from conventional antibiotic treatments emerge tougher, more resistant and more aggressive than before–making them much harder to treat. A good example is the superbug methicillin-resistant Staphylococcus aureus (MRSA).

UH chemistry professors Yuhong Wang and Shoujun Xu are working on this issue. They know full well that fighting superbugs requires new technology and new approaches, which is what they aim to pioneer with their new grant.

“Drug-resistant bacterial infections such as MRSA are becoming harder to treat, creating an urgent need for faster ways to understand how antibiotics and other small molecules interact with bacterial proteins,” Wang said in a news release.

Wang and Xu’s work centers around GTP, a cellular fuel that can cause tiny changes to a cell's structure when it mutates. Sometimes, those shape changes make it easier for drugs to breach the wall and attack the cells.

The UH scientists are employing AlphaFold, an AI-powered tool that can scan large molecular libraries in seconds. From these models, they can see promising drug combinations for future testing.

Once identified, the team uses their invention, super-resolution force spectroscopy, to monitor the cells. Tiny magnetic beads are attached to genetic material, then magnified to see how strong that material is when pulled. They can measure this incredible microscopic process through an atomic magnetometer, typically used in quantum physics. Combined, all these tools allow a high-definition look at how each molecule might respond to new chemical approaches.

“We're the only chemists in the world that use an atomic magnetometer for biological research,” Xu said. “It's a technique developed by physicists, and there is usually a gap between techniques developed by physicists and biological applications. Yuhong and I have been bridging that gap together for the past 10 years.”

Eventually, Wang and Xu hope to develop powerful software that can be used by drug manufacturers to model cellular responses. With enough predictive data, the software could even get ahead of superbugs’ own mutation, allowing drugs to be developed before new strains arrive.

"We want an algorithm where you input a protein sequence, score the mutation hotspots, and develop new inhibitors before a drug-resistant species even emerges," Wang added.