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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Houston researcher builds radar to make self-driving cars safer

eyes on the road

A Rice University researcher is giving autonomous vehicles an “extra set of eyes.”

Current autonomous vehicles (AVs) can have an incomplete view of their surroundings, and challenges like pedestrian movement, low-light conditions and adverse weather only compound these visibility limitations.

Kun Woo Cho, a postdoctoral researcher in the lab of Rice professor of electrical and computer engineering Ashutosh Sabharwal, has developed EyeDAR to help address such issues and enhance the vehicles’ sensing accuracy. Her research was supported in part by the National Science Foundation.

The EyeDAR is an orange-sized, low-power, millimeter-wave radar that could be placed at streetlights and intersections. Its design was inspired by that of the human eye. Researchers envision that the low-cost sensors could help ensure that AVs always pick up on emergent obstacles, even when the vehicles are not within proper range for their onboard sensors and when visibility is limited.

“Current automotive sensor systems like cameras and lidar struggle with poor visibility such as you would encounter due to rain or fog or in low-lighting conditions,” Cho said in a news release. “Radar, on the other hand, operates reliably in all weather and lighting conditions and can even see through obstacles.”

Signals from a typical radar system scatter when they encounter an obstacle. Some of the signal is reflected back to the source, but most of it is often lost. In the case of AVs, this means that "pedestrians emerging from behind large vehicles, cars creeping forward at intersections or cyclists approaching at odd angles can easily go unnoticed," according to Rice.

EyeDAR, however, works to capture lost radar reflections, determine their direction and report them back to the AV in a sequence of 0s and 1s.

“Like blinking Morse code,” Cho added. “EyeDAR is a talking sensor⎯it is a first instance of integrating radar sensing and communication functionality in a single design.”

After testing, EyeDAR was able to resolve target directions 200 times faster than conventional radar designs.

While EyeDAR currently targets risks associated with AVs, particularly in high-traffic urban areas, researchers also believe the technology behind it could complement artificial intelligence efforts and be integrated into robots, drones and wearable platforms.

“EyeDAR is an example of what I like to call ‘analog computing,’” Cho added in the release. “Over the past two decades, people have been focusing on the digital and software side of computation, and the analog, hardware side has been lagging behind. I want to explore this overlooked analog design space.”

12 winners named at CERAWeek clean tech pitch competition in Houston

top teams

Twelve teams from around the country, including several from Houston, took home top honors at this year's Energy Venture Day and Pitch Competition at CERAWeek.

The fast-paced event, held March 25, put on by Rice Alliance, Houston Energy Transition Initiative and TEX-E, invited 36 industry startups and five Texas-based student teams focused on driving efficiency and advancements in the energy transition to present 3.5-minute pitches before investors and industry partners during CERAWeek's Agora program.

The competition is a qualifying event for the Startup World Cup, where teams compete for a $1 million investment prize.

PolyJoule won in the Track C competition and was named the overall winner of the pitch event. The Boston-based company will go on to compete in the Startup World Cup held this fall in San Francisco.

PolyJoule was spun out of MIT and is developing conductive polymer battery technology for energy storage.

Rice University's Resonant Thermal Systems won the second-place prize and $15,000 in the student track, known as TEX-E. The team's STREED solution converts high-salinity water into fresh water while recovering valuable minerals.

Teams from the University of Texas won first and second place in the TEX-E competition, bringing home $25,000 and $10,000, respectively. The student winners were:

Companies that pitched in the three industry tracts competed for non-monetary awards. Here are the companies named "most-promising" by the judges:

Track A | Industrial Efficiency & Decarbonization

Track B | Advanced Manufacturing, Materials, & Other Advanced Technologies

  • First: Licube, based in Houston
  • Second: ZettaJoule, based in Houston and Maryland
  • Third: Oleo

Track C | Innovations for Traditional Energy, Electricity, & the Grid

The teams at this year's Energy Venture Day have collectively raised $707 million in funding, according to Rice. They represent six countries and 12 states. See the full list of companies and investor groups that participated here.

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