Engineering

Pasquali named fellow of The Society of Rheology

Rice’s Matteo Pasquali has been elected a fellow of The Society of Rheology (SoR).

‘Creating new knowledge:’ Rice congratulates more than 250 doctoral graduates

Rice conferred more than 250 doctoral degrees during its 112th commencement May 10 at Tudor Fieldhouse. Doctoral candidates along with friends, family and loved ones gathered for the ceremony, which included the awarding of doctoral regalia, congratulatory remarks, cheers and a few moments to reflect on this milestone.

A night to remember: Rice celebrates the undergraduate Class of 2025

Rice conferred more than 2,900 degrees to its newest graduates — the most in the university’s history — during its 112th commencement weekend held May 9-10.

Owl-standing achievements: Rice celebrates more than 750 graduates at advanced degree commencement ceremony

More than 750 freshly minted advanced degree graduates took their well-earned strolls across the stage at Rice's Tudor Fieldhouse May 10.

Machine learning powers new approach to detecting soil contaminants

A team of researchers at Rice and Baylor College of Medicine has developed a new strategy for identifying hazardous pollutants in soil ⎯ even ones that have never been isolated or studied in a lab.

‘Deeply meaningful’: Rice President Reginald DesRoches named ASCE distinguished member

Rice President Reginald DesRoches, a nationally recognized leader in resilient infrastructure and engineering education, has been elected to the 2025 class of distinguished members of the American Society of Civil Engineers (ASCE).

New roadmap advances catalytic solutions to destroy ‘forever chemicals’

A team of researchers from Rice, Carnegie Mellon University and other leading global institutions has outlined a bold new roadmap for harnessing heterogeneous catalysis to destroy per- and polyfluoroalkyl substances (PFAS), the so-called “forever chemicals” that have contaminated water supplies worldwide.

Powered by play: Engineering students blend circuits, code and imagination

Everywhere you turned at the final showcase for Design of Mechatronic Systems, something moved, danced, blinked or spun.

National Academy of Sciences elects Lydia Kavraki as a member

Lydia Kavraki, a leading researcher in robotics, computational biomedicine and artificial intelligence at Rice, has been elected to the National Academy of Sciences, one of the world’s foremost professional societies dedicated to honoring achievement in science and outstanding original research.

Rice engineer awarded NSF CAREER Award to advance decentralized learning for next-generation computing systems

Rice’s César A. Uribe has won a National Science Foundation CAREER Award to advance the mathematical foundations of decentralized learning, a critical area for the future of artificial intelligence, data science and distributed systems.

Research takes center stage on Rice homepage amid national funding developments

With federal research funding in the headlines in recent months, Rice's Office of Public Affairs is spotlighting what’s at stake — and what’s possible — by putting the university’s research enterprise front and center on its newly updated homepage.

A new shape for energy storage: Cone and disc carbon structures offer new pathways for sodium-ion batteries

A new study led by researchers from the Department of Materials Science and NanoEngineering at Rice has introduced an innovative solution that could impact electrochemical energy storage technologies.

Rice professor Menachem Elimelech receives Sidney Loeb Award for groundbreaking work in water purification

Menachem Elimelech was honored with the Sidney Loeb Award at the European Desalination Society Conference held in Porto, Portugal, April 28.

Rice deepens global roots with new educational and research collaborations in India

As India’s influence grows in fields such as climate change, biotechnology and artificial intelligence, Rice is positioning itself to be a key collaborator.

Light-based data made clearer with new machine learning method

Rice researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially enabling faster and more precise medical diagnoses and sample analysis.