Houston researcher scores prestigious NSF award for machine learning, power grid tech

grant funding

The UH team is developing ways to use machine learning to ensure that power systems can continue to run efficiently when pulling their energy from wind and solar sources. Photo via Getty Images

An associate professor at the University of Houston received the highly competitive National Science Foundation CAREER Award earlier this month for a proposal focused on integrating renewable resources to improve power grids.

The award grants more than $500,000 to Xingpeng Li, assistant professor of electrical and computer engineering and leader of the Renewable Power Grid Lab at UH, to continue his work on developing ways to use machine learning to ensure that power systems can continue to run efficiently when pulling their energy from wind and solar sources, according to a statement from UH. This work has applications in the events of large disturbances to the grid.

Li explains that currently, power grids run off of converted, stored kinetic energy during grid disturbances.

"For example, when the grid experiences sudden large generation losses or increased electrical loads, the stored kinetic energy immediately converted to electrical energy and addressed the temporary shortfall in generation,” Li said in a statement. “However, as the proportion of wind and solar power increases in the grid, we want to maximize their use since their marginal costs are zero and they provide clean energy. Since we reduce the use of those traditional generators, we also reduce the power system inertia (or stored kinetic energy) substantially.”

Li plans to use machine learning to create more streamlined models that can be implemented into day-ahead scheduling applications that grid operators currently use.

“With the proposed new modeling and computational approaches, we can better manage grids and ensure it can supply continuous quality power to all the consumers," he said.

In addition to supporting Li's research and model creations, the funds will also go toward Li and his team's creation of a free, open-source tool for students from kindergarten up through their graduate studies. They are also developing an “Applied Machine Learning in Power Systems” course. Li says the course will help meet workforce needs.

The CAREER Award recognizes early-career faculty members who “have the potential to serve as academic role models in research and education and to lead advances in the mission of their department or organization,” according to the NSF. It's given to about 500 researchers each year.

Earlier this year, Rice assistant professor Amanda Marciel was also

granted an NSF CAREER Award to continue her research in designing branch elastomers that return to their original shape after being stretched. The research has applications in stretchable electronics and biomimetic tissues.

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This article originally ran on EnergyCapital.

The NIH grant goes toward TransplantAI's work developing more precise models for heart and lung transplantation. Photo via Getty Images

Houston health tech company scores $2.2M grant to use AI to make organ transplants smarter, more successful

future of medicine

The National Institute of Health has bestowed a Houston medtech company with a $2.2 million Fast-Track to Phase 2 award. InformAI will use the money for the product development and commercialization of its AI-enabled organ transplant informatics platform.

Last year, InformAI CEO Jim Havelka told InnovationMap, “A lot of organs are harvested and discarded.”

TransplantAI solves that problem, as well as organ scarcity and inefficiency in allocation of the precious resource.

How does it work? Machine learning and deep learning from a million donor transplants informs the AI, which determines who is the best recipient for each available organ using more than 500 clinical parameters. Organ transplant centers and organ procurement organizations (OPOs) will be able to use the product to make a decision on how to allocate each organ in real time. Ultimately, the tool will service 250 transplant centers and 56 OPOs around the United States.

The NIH grant goes toward developing more precise models for heart and lung transplantation (kidney and liver algorithms are further along in development thanks to a previous award from the National Science Foundation), as well as Phase 2 efforts to fully commercialize TransplantAI.

"There is an urgent need for improved and integrated predictive clinical insights in solid organ transplantation, such as for real-time assessment of waitlist mortality and the likelihood of successful post-transplantation outcomes," according to the grant’s lead clinical investigator, Abbas Rana, associate professor of surgery at Baylor College of Medicine.

“This information is essential for healthcare teams and patients to make informed decisions, particularly in complex cases where expanded criteria allocation decisions are being considered," Rana continues. "Currently, the separation of donor and recipient data into different systems requires clinical teams to conduct manual, parallel reviews for pairing assessments. Our team, along with those at other leading transplant centers nationwide, receives hundreds of organ-recipient match offers weekly.”

Organ transplantation is moving into the future, and Transplant AI is at the forefront.

Houston can learn a lot from the decades of success from Silicon Valley, according to this Houston founder, who outlines just what all the city needs to do to become the startup city it has the potential to be. Photo via Getty Images

Houston expert: Can Houston replicate and surpass the success of Silicon Valley?

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Anyone who knows me knows, as a Houston Startup Founder, I often muse about the still developing potential for startups in Houston, especially considering the amount of industry here, subject matter expertise, capital, and size.

For example, Houston is No. 2 in the country for Fortune 500 Companies — with 26 Bayou City companies on the list — behind only NYC, which has 47 ranked corporations, according to Fortune.

Considering layoffs, fund closings, and down rounds, things aren’t all that peachy in San Francisco for the first time in a long time, and despite being a Berkeley native, I’m rooting for Houston now that I’m a transplant.

Let’s start by looking at some stats.

While we’re not No. 1 in all areas, I believe we have the building blocks to be a major player in startups, and in tech (and not just energy and space tech). How? If the best predictor of future success is history, why not use the template of the GOAT of all startup cities: San Francisco and YCombinator. Sorry fellow founders – you’ve heard me talk about this repeatedly.

YCombinator is considered the GOAT of Startup Accelerators/Incubators based on:

  1. The Startup success rate: I’ve heard it’s as high as 75 percent (vs. the national average of 5 to 10 percent) Arc Search says 50 percent of YC Co’s fail within 12 years – not shabby.
  2. Their startup-to-unicorn ratio: 5 to 7 percent of YC startups become unicorns depending on the source — according to an Arc Search search (if you haven’t tried Arc Search do – super cool).
  3. Their network.

YC also parlayed that success into a "YC Startup School" offering:

  1. Free weekly lessons by YC partners — sometimes featuring unicorn alumni
  2. A document and video Library (YC SAFE, etc)
  3. Startup perks for students (AWS cloud credits, etc.)
  4. YC co-founder matching to help founders meet co-founders

Finally, there’s the over $80 billion in returns, according to Arc search, they’ve generated since their 2005 inception with a total of 4,000 companies in their portfolio at over $600 billion in value. So GOAT? Well just for perspective there were a jaw-dropping 18,000 startups in startup school the year I participated – so GOAT indeed.

So how do they do it? Based on anecdotal evidence, their winning formula is said to be the following well-oiled process:

  1. Bring over 282 startups (the number in last cohort) to San Francisco for 90 days to prototype, refine the product, and land on the go-to-market strategy. This includes a pre-seed YC SAFE investment of a phased $500,000 commitment for a fixed min 7 percent of equity, plus more equity at the next round’s valuation, according to YC.
  2. Over 50 percent of the latest cohort were idea stage and heavily AI focused.
  3. Traction day: inter-portfolio traction the company. YC has over 4,000 portfolio companies who can and do sign up for each other’s companies products because “they’re told to."
  4. Get beta testers and test from YC portfolio companies and YC network.
  5. If they see the traction scales to a massively scalable business, they lead the seed round and get this: schedule and attend the VC meetings with the founders.
  6. They create a "fear of missing out" mentality on Sand Hill Road as they casually mention who they’re meeting with next.
  7. They block competitors in the sector by getting the top VC’s to co-invest with then in the seed so competitors are locked out of the A list VC funding market, who then are up against the most well-funded and buzzed about players in the space.

If what I've seen is true, within a six-month period a startup idea is prototyped, tested, pivoted, launched, tractioned, seeded, and juiced for scale with people who can ‘make’ the company all in their corner, if not already on their board.

So how on earth can Houston best this?

  1. We have a massive amount of businesses — around 200,000 — and people — an estimated 7.3 million and growing.
  2. We have capital in search of an identity beyond oil.
  3. Our Fortune 500 companies that are hiring consultants for things that startups here that can do for free, quicker, and for a fraction of the extended cost.
  4. We have a growing base of tech talent for potential machine learning and artificial intelligence talent
  5. A sudden shot at the increasingly laid off big tech engineers.
  6. We have more accelerators and incubators.

What do we need to pull it off?

  1. An organized well-oiled YC-like process
  2. An inter-Houston traction process
  3. An "Adopt a Startup" program where local companies are willing to beta test and iterate with emerging startup products
  4. We have more accelerators but the cohorts are small — average five to 10 per cohort.
  5. Strategic pre-seed funding, possibly with corporate partners (who can make the company by being a client) and who de-risk the investment.
  6. Companies here to use Houston startup’s products first when they’re launched.
  7. A forum to match companies’ projects or labs groups etc., to startups who can solve them.
  8. A process in place to pull all these pieces together in an organized, structured sequence.

There is one thing missing in the list: there has to be an entity or a person who wants to make this happen. Someone who sees all the pieces, and has the desire, energy and clout to make it happen; and we all know this is the hardest part. And so for now, our hopes of besting YC may be up in the air as well.

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Jo Clark is the founder of Circle.ooo, a Houston-based tech startup that's streamlining events management.

The $63.5 million contract aims to support UH in developing analytical modeling and simulation platforms that help the U.S. Army make timely and effective decisions. Photo via uhsystem.edu

University of Houston lands $63.5M contract with DOD to develop tech for the 'future battlefield'

ready to innovate

The University of Houston was recently awarded its largest grant in history—this time, from the U.S. Department of Defense.

The $63.5 million contract aims to support UH in developing analytical modeling and simulation platforms that help the U.S. Army make timely and effective decisions, according to a release from UH.

Craig Glennie, professor of civil and environmental engineering and director of engineering defense research initiatives at the UH Cullen College of Engineering, who is leading the project, says the team's work will focus on creating tools for the time period before conflict begins.

“We are not looking at what happens once bullets start flying. We are looking at what happens during the competition and crisis phases, the buildup and the posturing and the projection of forces before you actually get to the point of armed conflict,” he says in a statement. “The Army needs tools to understand how they can effectively position themselves and project their force towards the adversary in such a manner that they can avoid armed conflict, or if that is not possible, be prepared for the onset of armed conflict.”

The team, which also includes members from the University of Massachusetts Amherst, New Mexico State University and other organizations, will work closely with the U.S. Army Combat Capabilities Development Command Analysis Center, known as DAC. They've been commissioned to help build realistic modeling, analysis and simulation tools that the Army can use in the "future battlefield."

DAC has named several high priority issues for the team including quantum technology, artificial intelligence, and machine learning.

“For example, we will look at the electromagnetic spectrum, at owning the airspace, and projecting that we have the radio frequency technology that is capable of jamming a neighbor’s signals," Glennie adds.

UH president Renu Khator says the university is honored to revive the contract.

“We understand the significance of this project in enhancing the Army’s decision-making capabilities, and we are proud to contribute to our nation’s security and strategic competitiveness," she said in a statement. "We look forward to the remarkable contributions that will emerge from this collaboration, strengthening the University of Houston’s commitment to driving innovation that matters.”

UH has inked a number of grants and contracts in recent months that are pushing innovative initiatives forward at the university.

Last month, UH received a $100,000 grant from the Baker Hughes Foundation to go toward workforce development programs, and environmental justice research at its Energy Transition Institute. The ETI was launched last year through a $10 million grant from Shell USA Inc. and Shell Global Solutions (US) Inc.

And earlier this month, Houston-based The Welch Foundation awarded its inaugural $5 million Catalyst for Discovery Program Grant to a new initiative led by Jeffrey Rimer, UH's Abraham E. Dukler Professor of Chemical Engineering. The grant launched the Welch Center for Advanced Bioactive Materials Crystallization, which will build upon Rimer's work relating to the use of crystals to help treat malaria and kidney stones.

Craig Glennie, professor of civil and environmental engineering and director of engineering defense research initiatives at the UH Cullen College of Engineering, is leading the project. Photo via uh.edu

UH is officially part of an initiative to diversify machine learning research. Photo courtesy of University of Houston

University of Houston joins $50M initiative to expand and diversify AI and machine learning research

money moves

A $50 million grant from the National Institutes of Health is expanding research in machine learning and artificial intelligence, and the University of Houston now has a seat at the table.

UH has joined in on a national initiative to increase the diversity of artificial intelligence researchers, according to a news release from the school. Thanks to a $50 million grant from the National Institutes of Health, the University of North Texas Health Science Center will lead the coordinating center of the AIM-AHEAD program, which stands for Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity.

"Beyond health care, AI has been used in areas from facial recognition to self-driving cars and beyond, but there is an extreme lack of diversity among the developers of AI/ML tools. Many studies have shown that flawed AI systems and algorithms perpetuate gender and racial biases and have resulted in untoward outcomes," says Bettina Beech, chief population health officer at the University of Houston and newly named AIM-AHEAD coordinating center team member.

The initiative will bring together collaborators and experts across AI and machine learning, health equity research, data science training, data infrastructure and more. The other universities involved include: University of Colorado-Anschutz Medical Center in Aurora; University of California, Los Angeles; Meharry Medical College in Nashville; Morehouse School of Medicine in Atlanta; Johns Hopkins University, and Vanderbilt University Medical Center.

"This network will be foundational to achieving the goals of the AIM-AHEAD program, which include providing more inclusive data for health disparities research, and enhancing the diversity of AI/ML leadership," says Susan Gregurick, NIH associate director for data science, in the release.

Unfortunately, AI — designed by humans — mimics human decision making through its choice of algorithms. This means that the same biases humans deal with have made it into the AI decision making too. These gaps can lead to continued disparities and inequities for underrepresented communities especially in regards to health care, job hiring, and more.

"AI solutions need to be implemented in a responsible manner and are now guided by AI ethical FAIR (findable, accessible, interoperable, reusable) principles," says Beech in the release. "The AIM-AHEAD project directly connects with the University of Houston's plan to train and diversify the future workforce in population health, increase the use of digital tools for chronic disease self-management, and to advance population health research."

Bettina Beech is the chief population health officer at the University of Houston and newly named AIM-AHEAD coordinating center team member. Photo via UH.edu

Artificial intelligence is changing Houston — one industry at a time. Photo via Getty Images

3 ways artificial intelligence is changing Houston's future

Guest column

Artificial intelligence is the buzzword of the decade. From grocery shopping assistance to personal therapy apps, AI has sunk its teeth into every single industry. Houston is no exception to the AI boom. Enterprise-level companies and startups are already flocking to H-town to make their mark in AI and machine learning.

Since the world is generating more data every minute — 1,736 terabytes to be exact — Houston-based companies are already thinking ahead about how to make sense of all of that information in real-time. That's where AI comes in. By 2021, 80 percent of emerging technologies will have AI foundations — Houston is already ninth on the list of AI-ready cities in the world.

AI and machine learning can process large amounts of data quickly and use that data to inform decisions much like a human would. Here are three ways Houston-based companies are using these emerging technologies to revolutionize the city's future.

Health care

The health care industry is primed for AI's personalization capabilities. Each patient that doctors and nurses encounter has different symptoms, health backgrounds, and prescriptions they have to remember. Managing that amount of information can be dangerous if done incorrectly. With AI, diseases are diagnosed quicker, medications are administered more accurately, and nurses have help monitoring patients.

Decisio Health Inc., a Houston-based health tech startup has already made its mark in the healthcare industry with its AI software helping to tackle the COVID-19 pandemic. Their software, in collaboration with GE Healthcare Inc, allows health care providers to remotely monitor patients. By looking at data from ventilators, patient monitoring systems, health records, and other data sources, doctors can make better decisions about patients from a safe distance.

Climate change

Climate change isn't solved overnight. It's an issue that covers water salinity, deforestation, and even declining bee populations. With a problem as large as climate change, huge amounts of data are collected and need to be analyzed. AI can interpret all of that information, show possible future outcomes, track current weather patterns, and find solutions to environmental destruction.

One Houston-based company in the energy tech industry, Enovate Upstream, has created a new AI platform that will help digitize the oil and gas sector. Their AI-powered platform looks at data from digital drilling, digital completions, and digital production, to give oil companies real-time production forecasting. Their work will hopefully make their oil production more efficient and reduce their carbon emission output. Since oil drilling and fracking are a major cause for concern around climate change, their work will make a difference in slowing climate change and make their industry as a whole more climate-conscious.

Energy

Energy is an industry rich with data opportunities—and as Houston's energy sector grows, AI has become a core part of their work. Houston's large influence in the energy sector has primed it for AI integration from startups like Adapt2 Solutions Inc. By using AI and machine learning in their software, they hope to help energy companies make strategic predictions on how to serve energy to the public efficiently. Their work has become especially important in the wake of COVID-19 and the resulting changing energy needs.

Another Houston-based company using AI to influence the energy industry is the retail energy startup Evolve Energy. Their AI and machine learning system help customers find better prices on fluctuating renewable resource—helping them save money on electricity and reducing emissions. The positive feedback from the public on their AI model has shown how energy companies are using emerging technologies like AI in a positive way in their communities.

The bottom line

Houston is more primed than most cities to integrate AI and machine learning into every industry. While there are valid concerns as to how much we should lean on technology for necessary daily tasks, it's clear that AI isn't going anywhere. And it's clear that Houston is currently taking the right steps to continue its lead in this emerging AI market.

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Natasha Ramirez is a Utah-based tech writer.

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Houston expert: How to avoid 'ghost hiring' while attracting top talent

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One of the latest HR terms grabbing attention today is “ghost hiring.” This is a practice where businesses post positions online, even interviewing candidates, with no intention to fill them. In fact, the role may already have been filled or it may not exist.

Usually, an applicant applies for the job, yet never hears back. However, they may be contacted by the recruiter, only to learn the offer is revoked or a recruiter ghosts them after a first-round interview.

Applicants who are scouring job sites for the ideal position can become discouraged by ghost hiring. Employers do not usually have any ill intentions of posting ghost jobs and talking with candidates. Employers may have innocently forgotten to take down the listing after filling the position.

Some employers may leave positions up to expand their talent pool. While others who are open to hiring new employees, even if they do not match the role, may practice ghost hiring when they want a pool of applicants to quickly pull from when the need arises. Finally, some employers post job roles to make it look like the company is experiencing growth.

When employers participate in ghost hiring practices, job candidates can become frustrated, hurting the employer brand and, thus, future recruiting efforts. Even with the tight labor market and employee turnover, it is best not to have an evergreen posting if there is no intention to hire respondents.

There are several ways employers can engage candidates and, likewise, build a talent pool without misleading job seekers.

Network

A recruiter at their core is a professional networker. This is a skill that many have honed through the years, and it continues to evolve through social media channels. While many recruiters lean on social media, you should not discount meeting people face-to-face. There is power in promoting your organization at professional meetings, alumni groups and civic organizations. Through these avenues, many potential candidates will elect for you to keep them in mind for future opportunities.

Employee Referrals

When recruiters want to deepen their talent pool, they cannot discount the employee referral. Simply letting employees know and clearly stating the exploratory nature of the conversation can lead to stellar results. Employees understand the organization, its culture and expectations, so they are more likely to refer the company to someone who would be a good fit and reflect highly on them.

Alternative Candidates

In recent years, organizations and recruiters are more dialed into skills-first recruiting practices. Creating job postings that emphasize the skill sets needed rather than the years of experience, specific college degree or previous job titles, can yield a crop of candidates who may be more agile and innovative than others. Fostering relationships with people who fit unique skills needed within the organization can help you develop a deeper bench of candidates.

Contingent Workforce

Part-time workers, freelancers, and independent contractors are a great way to build connections and the talent pool. These workers and their skills are known entities, plus they know the organization, which makes them valuable candidates for open roles. If their expertise is needed on a regular basis, it is easier to have open conversations about a potential expansion of their duties or offer full-time work.

Internal Talent

Human resources and recruiters need to work with managers and leadership to intimately know what kind of talent lies within their own organization. Current employees may have the strengths, skills, and capabilities to fill new positions or roles. Through conversations with employees and their managers, you can identify who can flex different skills, but even more importantly, the ambition to grow within the company.

In every instance, it is crucial for recruiters and hiring managers to be transparent in their intentions. Communicating within your network that you are always looking for great talent to fill future roles sets the tone. When communicating with candidates, whether there is a pressing job opportunity or not, be clear from the onset regarding your intentions for hire. With a transparent approach to hiring and candidate development, you will keep the employer brand intact and maintain recruiting power.

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Jaune Little is a director of recruiting services with Insperity.

Houston ecommerce scale-up company acquires Amazon advertising partner

all aboard

A Houston tech company has tapped an Amazon partner in a strategic acquisition and is bringing the company's full team on board.

Cart.com acquired Ohio-based Amify, a company that provides optimization and advertising solutions. The terms of the deal were not disclosed but Cart.com will on board Amify’s entire employee base, including its founder Ethan McAfee, CEO Chris Mehrabi, and COO Christine McCambridge.

As chief delivery officer, Mehrabi will take the helm of Cart.com’s professional services business and McCambridge will lead Cart.com’s marketplace services team as vice president of marketplace services operations.

“I’m happy to welcome the entire Amify team to Cart.com and have industry veterans Chris Mehrabi and Christine McCambridge join our leadership team,” Cart.com Founder and CEO Omair Tariq says in a news release. “Amify has been widely recognized for their expertise and technology and we’re excited to leverage their experience to help our customers maximize their potential across channels.”

Cart.com's membership will have access to Amify's proprietary technology platform, including advertising, creative content, supply chain strategy, and analytics. The company, which was founded in 2011, currently supports over 50 global brands and manages approximately $1 billion in gross merchandise value. According to LinkedIn, Amify has over 50 employees.

“We could not be more excited to join Cart.com and leverage the company’s resources and scale to deliver value to both our customers and employees,” Mehrabi says. “I’m honored to step into the role of Chief Delivery Officer and contribute to Cart.com’s incredible growth story and innovative reputation.”

Founded in Houston in 2020, Cart.com provides comprehensive physical and digital infrastructure for online merchants. The company raised a $60 million series C and grown its customer base to over 6,000 users. After making several acquisitions, the company also operates 14 fulfillment centers nationwide.

Earlier this year, Tariq sat down with the Houston Innovators Podcast to share a bit about how the company is currently in scale-up mode.

Houston health tech innovator collaborates on promising medical device funded by DOD

team work

The United States Department of Defense has awarded a grant that will allow the Texas Heart Institute and Rice University to continue to break ground on a novel left ventricular assist device (LVAD) that could be an alternative to current devices that prevent heart transplantation and are a long-term option in end-stage heart failure.

The grant is part of the DOD’s Congressionally Directed Medical Research Programs (CDMRP). It was awarded to Georgia Institute of Technology, one of four collaborators on the project that will be designed and evaluated by the co-investigator Yaxin Wang. Wang is part of O.H. “Bud” Frazier’s team at Texas Heart Institute, where she is director of Innovative Device & Engineering Applications Lab. The other institution working on the new LVAD is North Carolina State University.

The project is funded by a four-year, $7.8 million grant. THI will use about $2.94 million of that to fund its part of the research. As Wang explained to us last year, an LVAD is a minimally invasive device that mechanically pumps a person’s own heart. Frazier claims to have performed more than 900 LVAD implantations, but the devices are far from perfect.

The team working on this new research seeks to minimize near-eventualities like blood clot formation, blood damage, and driveline complications such as infection and limitations in mobility. The four institutions will try to innovate with a device featuring new engineering designs, antithrombotic slippery hydrophilic coatings (SLIC), wireless power transfer systems, and magnetically levitated driving systems.

Wang and her team believe that the non-contact-bearing technology will help to decrease the risk of blood clotting and damage when implanting an LVAD. The IDEA Lab will test the efficacy and safety of the SLIC LVAD developed by the multi-institutional team with a lab-bench-based blood flow loop, but also in preclinical models.

“The Texas Heart Institute continues to be a leading center for innovation in mechanical circulatory support systems,” said Joseph G. Rogers, MD, the president and CEO of THI, in a press release.

“This award will further the development and testing of the SLIC LVAD, a device intended to provide an option for a vulnerable patient population and another tool in the armamentarium of the heart failure teams worldwide.”

If it works as hypothesized, the SLIC LVAD will improve upon current LVAD technology, which will boost quality of life for countless heart patients. But the innovation won’t stop there. Technologies that IDEA Lab is testing include wireless power transfer for medical devices and coatings to reduce blood clotting could find applications in many other technologies that could help patients live longer, healthier lives.

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