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Basak Guler receives NSF CAREER Award on privacy preserving collaborative learning

Assistant Professor Basak Guler receives a National Science Foundation (NSF) CAREER Award to develop private, secure and trustworthy machine learning applications. NSF CAREER awards are awarded to assistant professors to fund research that is expected to form a firm foundation for a lifetime of leadership in integrating research and education. Collaborative machine learning allows multiple...

Xi Chen receives NSF CAREER award on heat transport mechanisms in magnetic materials

Assistant Professor Xi Chen receives National Science Foundation (NSF) CAREER award for a project titled "CAREER: Understanding the Size Effects on Spin-mediated Thermal Transport in Nanostructured Quantum Magnets.” Heat transport mediated by spin excitations (i.e., thermal excitations of electrons’ spin structure) provides a highly efficient mode of heat conduction in some magnetic materials. This spin-mediated...

MURI research grant to study brain dynamics and reinforcement learning

Samet Oymak, Assistant Professor of electrical and computer engineering, and Fabio Pasqualetti, Professor of mechanical engineering, received a $3.75 million Multidisciplinary University Research Initiative (MURI) research grant from the U.S. Army Combat Capabilities Development Command’s Army Research Laboratory, to study brain dynamics and reinforcement learning. Oymak and Pasqualetti will serve as co-PI's in the collaborative...

Wearable assistive robotics project receives a National Robotics Initiative grant from NSF

Professors Konstantinos Karydis, Salman Asif, Elena Kokkoni, Will Grover, and Philip Brisk received a $1.5 million National Robotics Initiative (NRI) grant from National Science Foundation (NSF) on soft wearable assistive robotics for pediatric rehabilitation.

Multi-modal sensing and learning project receives Air Force Office of Scientific Research grant

Professor Salman Asif has received a $300,000, three-year grant from the Air Force Office of Scientific Research, or AFOSR, to develop an integrated sensing and learning framework using distributed and multi-modal sensors. In this project, he will develop a new framework to co-design sensing and learning algorithms to capture and efficiently process only the most...

ECE PhD student Padmaja Jonnalagedda wins Award in AI for Space Workshop

Padmaja Jonnalagedda (VISLab), PhD student of Distinguished Professor Bir Bhanu in Electrical and Computer Engineering (ECE), won the Best Presentation Award at the First Artificial Intelligence for Space (AI4Space) workshop held in conjunction with the Premier IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) in June 2021. The paper is based on a collaborative...

Tseng’s team received outstanding paper award in RTAS 2021

Hung-Wei Tseng, an assistant professor of electrical and computer engineering at UC Riverside, and his former undergraduate student researchers. Alec Rohloff, Zackary Allen, Joshua Okrend and Chengyi Nie as well as a high-school student intern, Kung-Min Lin, received the outstanding paper award in the 27th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS 2021)...

Professor Abu-Ghazaleh Receives Doctoral Dissertation Faculty Award

Professor Nael Abu-Ghazaleh, jointly appointed to ECE and CSE, is selected as the recipient of this year’s Doctoral Dissertation Faculty Award. Doctoral Dissertation Faculty Award is a campus-wide award to faculty who provide excellent mentorship and support of their graduate students. Prof. Nael Abu-Ghazaleh has made enormous difference to many students in his career with...

Alexander Balandin named DoD Vannevar Bush Faculty Fellow

ECE Distinguished Professor Alexander Balandin has been awarded a 2021 Department of Defense (DoD) Vannevar Bush Faculty Fellowship . The five-year, highly competitive fellowship is the DoD’s most prestigious single-investigator award with up to $3 million in funding and “supports new, out-of-the-box ideas where research creativity intersects with the unknown.” Balandin was selected to conduct...

Jay Farrell named new endowed chair

This July, Jay Farrell will step up to the KA Endowed Chair in Electrical and Computer Engineering at UC Riverside’s Marlan and Rosemary Bourns College of Engineering, or BCOE. The new endowed chair was made possible through a $1 million gift from anonymous donors. As one of seven new endowed chairs established at BCOE during...
ece_career_awardees_2021

Four ECE professors receive prestigious NSF CAREER Awards

Four ECE faculty members received National Science Foundation (NSF) CAREER Awards this year. This is a remarkable record for a single department. NSF CAREER Awards are given to assistant professors to fund research that is expected to form a firm foundation for a lifetime of leadership in integrating education and research. The four CAREER Award...

A robot that tells growers when to water crops is on the way

A group of researchers from UC Riverside and UC Merced have received a grant for more than $1 million from the U.S. Department of Agriculture through the National Science Foundation’s National Robotics Initiative to address these challenges. From UC Riverside are Assistant Professor Konstantinos Karydis and Professor Amit K. Roy-Chowdhury, both from the Department of...

ECE Student received Best Student Paper Award at ISITA 2020

ECE Ph.D. candidate Navid Gharavi has received Best Student Paper Award for the paper "Codes for high-noise memoryless channels" presented at the 2020 International Symposium on Information Theory and Application (ISITA) . The paper co-authored with ECE Professor Ilya Dumer studies new coded modulation techniques that can reliably transmit data over the noisy memoryless channels...

Alexander Balandin co-leads the thermal thrust of a new DOE Energy Frontier Research Center

ECE Distinguished Professor Alexander A. Balandin is part of a new U.S. Department of Energy Frontier Research Center (EFRC) that aims to create a more resilient and sustainable electricity grid by using next-generation materials. The center is led by Arizona State University, and includes research teams at UC Riverside, Cornell University, Michigan State University, Sandia...

ECE Leads $7.5 million center on networked systems for rapid situational awareness

UCR has received $7.5 million to create a Department of Defense Center of Excellence that will help develop secure, fully networked command, control, and communications infrastructure that would enable integrated and optimal decision-making. The major research themes include machine learning, communications and networking, and cybersecurity. The center will also create an educational and outreach program...

CE-CERT Receives Prestigious IEEE ITS Society Institutional Lead Award

The IEEE Intelligent Transportation System Society Institutional Lead Award is given annually for ITS researchers, practitioners, and research and development teams who have made significant contributions to research in ITS related fields, developed and deploy successful ITS system implementations, or demonstrated leadership in promoting ITS technologies. These awards are established to recognize, promote, and publicize...

NSF grant on distributed multi-robot joint localization and tracking

Professor Wei Ren received a National Science Foundation (NSF) grant on distributed multi-robot joint localization and tracking. In applications such as disaster response, a network of mobile autonomous robots collectively tracks a subject over a wide area in an intermittently GPS-denied environment. As the subject and the robots move in and out of observation and...

Hung-Wei Tseng awarded NSF grant to better utilize tensor processors

Professor Hung-Wei Tseng has received a 495K grant from National Science Foundation’s Division of Computer and Network Systems to explore application designs on Tensor Processing Units (TPUs). TPUs are emerging, commercialized accelerators for neural networks. Despite the current focus on NN models, the microarchitecture of TPUs have potential in accelerating many other tensor-based, high-dimensional algorithms...

Balandin and Kargar receive NSF MRI Grant to Develop a Unique Spectroscopy Facility at UCR

Alexander Balandin, distinguished professor of electrical and computer engineering, and Fariborz Kargar, adjunct assistant professor, both of the Marlan and Rosemary Bourns College of Engineering (BCOE), received Major Research Instrumentation (MRI) funding of $741,000 from the National Science Foundation to develop a unique spectroscopy facility at the University of California, Riverside’s (UCR) Phonon Optimized Engineering...

Shaolei Ren awarded NSF grant to automate design of deep neural networks

Professor Shaolei Ren received a National Science Foundation grant to study automated design of deep neural networks (DNNs) for edge inference. Edge devices, such as mobile phones, drones and robots, have been emerging as an increasingly more important platform for DNN inference. But, designing an optimal DNN model for maximizing the users' quality of experience...

External News

New book shares real-world applications and trends in smart grid sensors and data analytics hannar Mon, 05/02/2022 - 15:29 More News

Engineers in academia or in industry with an interest in power grid modernization can learn the latest about sensor technologies and innovative use cases of various sensor data in a new book. 

Smart Grid Sensors Book
Smart Grid Sensors: Principles and Applications

Smart Grid Sensors: Principles and Applications (Cambridge University Press), published in April 2022 by professor of Electrical and Computer Engineering Hamed Mohsenian-Rad, covers smart grid sensors, a component of electrical power grids that use real-time monitoring to lower costs, save energy, integrate renewable energy resources, and improve reliability, security and resiliency. The book’s contents enhance knowledge in the area of Energy, Environment and Sustainability, one of 12 key research themes at the Marlan and Rosemary Bourns College of Engineering. 

Currently, there is a lot of international interest in modernizing the electric power infrastructure, including the Biden administration’s “Building a Better Grid” initiative to catalyze the nationwide development of new and upgraded high-capacity electric transmission lines.

A big part of this is understanding how to obtain and analyze a wide range and a large volume of data from traditional and state-of-the-art smart grid sensors, the crux of Mohsenian-Rad’s book. This includes the analysis of abnormalities and incipient failures, i.e., problems that are in their early stages but can lead to potential catastrophic failures in the future. 

The book addresses data-driven and intelligent methods for using sensor measurements and topics such as smart meters, synchronized phasor measurements, synchronized waveform measurements, situational awareness, probing and working with off-domain measurements.

Ultimately, Mohsenian-Rad says, the book is a gateway to understanding the broader subject of smart grid development and the field of big data in power systems.  

Smart Grid Sensors Book_Hamed Mohsenian-Rad
Professor Hamed Mohsenian-Rad and his new book Smart Grid Sensors: Principles and Applications

The book provides examples, exercise questions, and sample data sets, with emphasis on real-world smart grid problems and engineering scenarios, as well as step-by-step explanations for data-driven and mathematical methods used to employ measurements from various sensor technologies in important applications. Many of the examples in this book are inspired by the author’s research activities, and several terabytes of sensor measurements that he has been working on over the past decade.

The online version of the book is publicly available to UC Riverside faculty and students here. Others can access the book at Cambridge University Press here.

Mohsenian-Rad is Bourns Family Faculty Fellow, associate director of the Winston Chung Global Energy Center and director of the Smart Grid Research Lab. In 2020, he was named as Fellow of the Institute of Electrical and Electronics Engineers (IEEE), an honor that is conferred by the IEEE Board of Directors upon a person with an extraordinary record of accomplishments. Mohsenian-Rad has received several awards in research and teaching, including the CAREER Award from the National Science Foundation (NSF), the Distinguished Teaching Award from the Marlan and Rosemary Bourns College of Engineering, and Best Paper Awards from multiple IEEE conferences.

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New book shares real-world applications and trends in smart grid sensors and data analytics
New book shares real-world applications and trends in smart grid sensors and data analytics hannar Mon, 05/02/2022 - 15:29 More News May 03, 2022Engineers in academia or in industry with an interest in power grid modernization can learn the latest about sensor technologies and innovative use cases of various sensor data in a new book.  Smart Grid Sensors: Principles and ApplicationsSmart Grid Sensors: Principles and Applications (Cambridge University Press), published in April 2022 by professor of Electrical and Computer Engineering Hamed Mohsenian-Rad, covers smart grid sensors, a component of electrical power grids that use real-time monitoring to lower costs, save energy, integrate renewable energy resources, and improve reliability, security and resiliency. The book’s contents enhance knowledge in the area of Energy, Environment and Sustainability, one of 12 key research themes at the Marlan and Rosemary Bourns College of Engineering.  Currently, there is a lot of international interest in modernizing the electric power infrastructure, including the Biden administration’s “Building a Better Grid” initiative to catalyze the nationwide development of new and upgraded high-capacity electric transmission lines. A big part of this is understanding how to obtain and analyze a wide range and a large volume of data from traditional and state-of-the-art smart grid sensors, the crux of Mohsenian-Rad’s book. This includes the analysis of abnormalities and incipient failures, i.e., problems that are in their early stages but can lead to potential catastrophic failures in the future.  The book addresses data-driven and intelligent methods for using sensor measurements and topics such as smart meters, synchronized phasor measurements, synchronized waveform measurements, situational awareness, probing and working with off-domain measurements. Ultimately, Mohsenian-Rad says, the book is a gateway to understanding the broader subject of smart grid development and the field of big data in power systems.   Professor Hamed Mohsenian-Rad and his new book Smart Grid Sensors: Principles and ApplicationsThe book provides examples, exercise questions, and sample data sets, with emphasis on real-world smart grid problems and engineering scenarios, as well as step-by-step explanations for data-driven and mathematical methods used to employ measurements from various sensor technologies in important applications. Many of the examples in this book are inspired by the author’s research activities, and several terabytes of sensor measurements that he has been working on over the past decade. The online version of the book is publicly available to UC Riverside faculty and students here. Others can access the book at Cambridge University Press here. Mohsenian-Rad is Bourns Family Faculty Fellow, associate director of the Winston Chung Global Energy Center and director of the Smart Grid Research Lab. In 2020, he was named as Fellow of the Institute of Electrical and Electronics Engineers (IEEE), an honor that is conferred by the IEEE Board of Directors upon a person with an extraordinary record of accomplishments. Mohsenian-Rad has received several awards in research and teaching, including the CAREER Award from the National Science Foundation (NSF), the Distinguished Teaching Award from the Marlan and Rosemary Bourns College of Engineering, and Best Paper Awards from multiple IEEE conferences. Tags WCGEC Electrical and Computer Engineering Share This
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A student works with a small blue robot they built

The new major complements a robotics master’s degree unveiled in 2021

UCR now offers a bachelor’s degree in robotics engineering
The new major complements a robotics master’s degree unveiled in 2021
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Five UC Riverside engineering programs move up in 2023 U.S. News Rankings hannar Wed, 03/30/2022 - 08:45 More News Bourns Hall All seven programs are among the top 50 public programs in their respective categories

Five programs at the University of California, Riverside’s (UCR) Marlan and Rosemary Bourns College of Engineering (BCOE) moved up in rank in the 2023 U.S. News & World Report Best Engineering Graduate Schools Rankings. Designed to help prospective students identify universities for furthering their education beyond a Bachelor’s degree, the Best Graduate Schools rankings evaluate programs in a variety of disciplines, including business, education, engineering, law, medicine, and nursing.

“This rise in rankings mirrors the tremendous growth our engineering college has had in recent years,” said Christopher S. Lynch, Dean of the Marlan and Rosemary Bourns College of Engineering. “The high-quality research expertise of our faculty and students, the launch of new national research centers, and the support from government agencies and industry partners make BCOE an excellent place to earn a graduate degree.” 

Among both public and private universities, Chemical and Environmental Engineering moved up four spots to No. 48, Electrical and Computer Engineering moved up three spots to No. 63, Mechanical Engineering moved up two spots to No. 75, Materials Science and Engineering moved up two spots to No. 66, and Computer Science and Engineering and Computer Engineering moved up one spot to No. 50.

Among public universities, all seven BCOE programs, including the above plus Bioengineering, were placed among the top 50 public programs in their respective categories. Furthermore, within these, four are within the top 40 public programs: Chemical and Environmental Engineering, Computer Engineering, Computer Science and Engineering, and Electrical and Computer Engineering.

“Through graduate research and education programs, BCOE continues to meet the demand for engineers who can contribute to the technological advancements important to building a more efficient and safer world,” said Charles Wyman, Associate Dean of Research and Graduate Education at BCOE. “Our master’s and doctoral students are provided with mentorship and resources to hone their skills and become the problem-solvers needed to face tomorrow’s challenges.”

In 2021, the college continued to expand its graduate education offerings to meet the growing need for expertise in such fields as artificial intelligence and sustainability. The college established a new Robotics Master’s degree program, the first of its kind in the UC system, to offer interdisciplinary courses from the departments of Computer Science and Engineering, Electrical and Computer Engineering, and Mechanical Engineering.

In addition, the department of Chemical and Environmental Engineering added a new Master’s degree concentration in Air Quality Engineering that focuses on air pollution causes, impacts, and controls. Students in the program benefit from access to the College of Engineering Center for Environmental Research and Technology (CE-CERT), a cutting edge research center, as well as BCOE’s long-standing partnership with the California Air Resources Board (CARB), which opened its new state-of-the-art Southern California headquarters near the UCR campus this past fall.

Students interested in learning more about the college’s graduate programs and how to apply can visit https://graduate.engr.ucr.edu/. The deadline to apply for fall 2022 enrollment for all programs except Computer Science is June 1, 2022 for international students and August 1, 2022 for domestic students.

For more information about BCOE’s rankings, visit https://www.engr.ucr.edu/about/facts-rankings.  

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Five UC Riverside engineering programs move up in 2023 U.S. News Rankings
Five UC Riverside engineering programs move up in 2023 U.S. News Rankings hannar Wed, 03/30/2022 - 08:45 More News March 29, 2022 All seven programs are among the top 50 public programs in their respective categories Five programs at the University of California, Riverside’s (UCR) Marlan and Rosemary Bourns College of Engineering (BCOE) moved up in rank in the 2023 U.S. News & World Report Best Engineering Graduate Schools Rankings. Designed to help prospective students identify universities for furthering their education beyond a Bachelor’s degree, the Best Graduate Schools rankings evaluate programs in a variety of disciplines, including business, education, engineering, law, medicine, and nursing. “This rise in rankings mirrors the tremendous growth our engineering college has had in recent years,” said Christopher S. Lynch, Dean of the Marlan and Rosemary Bourns College of Engineering. “The high-quality research expertise of our faculty and students, the launch of new national research centers, and the support from government agencies and industry partners make BCOE an excellent place to earn a graduate degree.”  Among both public and private universities, Chemical and Environmental Engineering moved up four spots to No. 48, Electrical and Computer Engineering moved up three spots to No. 63, Mechanical Engineering moved up two spots to No. 75, Materials Science and Engineering moved up two spots to No. 66, and Computer Science and Engineering and Computer Engineering moved up one spot to No. 50. Among public universities, all seven BCOE programs, including the above plus Bioengineering, were placed among the top 50 public programs in their respective categories. Furthermore, within these, four are within the top 40 public programs: Chemical and Environmental Engineering, Computer Engineering, Computer Science and Engineering, and Electrical and Computer Engineering. “Through graduate research and education programs, BCOE continues to meet the demand for engineers who can contribute to the technological advancements important to building a more efficient and safer world,” said Charles Wyman, Associate Dean of Research and Graduate Education at BCOE. “Our master’s and doctoral students are provided with mentorship and resources to hone their skills and become the problem-solvers needed to face tomorrow’s challenges.” In 2021, the college continued to expand its graduate education offerings to meet the growing need for expertise in such fields as artificial intelligence and sustainability. The college established a new Robotics Master’s degree program, the first of its kind in the UC system, to offer interdisciplinary courses from the departments of Computer Science and Engineering, Electrical and Computer Engineering, and Mechanical Engineering. In addition, the department of Chemical and Environmental Engineering added a new Master’s degree concentration in Air Quality Engineering that focuses on air pollution causes, impacts, and controls. Students in the program benefit from access to the College of Engineering Center for Environmental Research and Technology (CE-CERT), a cutting edge research center, as well as BCOE’s long-standing partnership with the California Air Resources Board (CARB), which opened its new state-of-the-art Southern California headquarters near the UCR campus this past fall. Students interested in learning more about the college’s graduate programs and how to apply can visit https://graduate.engr.ucr.edu/. The deadline to apply for fall 2022 enrollment for all programs except Computer Science is June 1, 2022 for international students and August 1, 2022 for domestic students. For more information about BCOE’s rankings, visit https://www.engr.ucr.edu/about/facts-rankings.   Tags Bioengineering Chemical and Environmental Engineering Electrical and Computer Engineering Computer Science and Engineering Computer Engineering Materials Science and Engineering Mechanical Engineering Share This
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Emissions coming from factory chimneys

Two UC Riverside experts explain how carbon capture and utilization technologies work, and what needs to improve for them to deliver on their promise

Fighting climate change with carbon capture and utilization technologies
Two UC Riverside experts explain how carbon capture and utilization technologies work, and what needs to improve for them to deliver on their promise
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UCR electrical and computer engineer earns NSF CAREER award to better protect sensitive data hannar Tue, 03/01/2022 - 15:24 More News Padlock and two credit cards on top of laptop keyboard

Assistant professor of electrical and computer engineering Basak Guler at the Marlan and Rosemary Bourns College of Engineering (BCOE) at the University of California Riverside (UCR) has been awarded a $540,000 National Science Foundation (NSF) CAREER Award to develop efficient, secure and trustworthy machine learning applications. NSF CAREER awards are awarded to assistant professors to fund research that is expected to form a firm foundation for a lifetime of leadership in integrating research and education. 

Professional headshot of assistant professor Basak Guler
Basak Guler

In short, machine learning is a subfield of artificial intelligence, which uses data and algorithms to imitate human behavior. Collaborative machine learning allows multiple data owners to jointly train machine learning models, to increase the volume and diversity of data.

While collaborative machine learning opens exciting possibilities, it can get tricky when used for privacy-sensitive data in the real world: things like healthcare records, financial transactions, or location data.

With this NSF grant, Guler aims to solve this problem by developing novel machine learning techniques that simultaneously protect the privacy of sensitive data. Typically, this has been limited by several major barriers, including the communication bottleneck – when there is not enough capacity to accommodate the current volume of traffic – security, and trustworthiness. 

Guler’s goal is to enable privacy-aware machine learning applications that feature three main characteristics: 1) accessible by users with limited bandwidth and computing power; 2) secure against adversaries; and 3) fair in its decisions towards all communities in society. 

Finally, to help facilitate a diverse machine learning workforce, Guler will develop mentorship opportunities for undergraduate students, new undergraduate and graduate courses and machine learning workshops for K-12 students and teachers.  

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UCR electrical and computer engineer earns NSF CAREER award to better protect sensitive data
UCR electrical and computer engineer earns NSF CAREER award to better protect sensitive data hannar Tue, 03/01/2022 - 15:24 More News March 01, 2022Assistant professor of electrical and computer engineering Basak Guler at the Marlan and Rosemary Bourns College of Engineering (BCOE) at the University of California Riverside (UCR) has been awarded a $540,000 National Science Foundation (NSF) CAREER Award to develop efficient, secure and trustworthy machine learning applications. NSF CAREER awards are awarded to assistant professors to fund research that is expected to form a firm foundation for a lifetime of leadership in integrating research and education.  Basak GulerIn short, machine learning is a subfield of artificial intelligence, which uses data and algorithms to imitate human behavior. Collaborative machine learning allows multiple data owners to jointly train machine learning models, to increase the volume and diversity of data. While collaborative machine learning opens exciting possibilities, it can get tricky when used for privacy-sensitive data in the real world: things like healthcare records, financial transactions, or location data. With this NSF grant, Guler aims to solve this problem by developing novel machine learning techniques that simultaneously protect the privacy of sensitive data. Typically, this has been limited by several major barriers, including the communication bottleneck – when there is not enough capacity to accommodate the current volume of traffic – security, and trustworthiness.  Guler’s goal is to enable privacy-aware machine learning applications that feature three main characteristics: 1) accessible by users with limited bandwidth and computing power; 2) secure against adversaries; and 3) fair in its decisions towards all communities in society.  Finally, to help facilitate a diverse machine learning workforce, Guler will develop mentorship opportunities for undergraduate students, new undergraduate and graduate courses and machine learning workshops for K-12 students and teachers.   Tags Electrical and Computer Engineering Share This
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A cluster of amethyst crystals

Time crystals that persist indefinitely at room temperature could have applications in precision timekeeping

Time crystals leave the lab
Time crystals that persist indefinitely at room temperature could have applications in precision timekeeping
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Bourns Hall

Infants and young children with motor delays may soon be able to wear robotic helpers

Robotic assistive device will lend a helping hand to infants with movement difficulties
Infants and young children with motor delays may soon be able to wear robotic helpers
Read More »
Bourns Hall

Infants and young children with motor delays may soon be able to wear robotic helpers

Robotic assistive device will lend a helping hand to infants with movement difficulties
Infants and young children with motor delays may soon be able to wear robotic helpers
Read More »
Bourns Hall

Infants and young children with motor delays may soon be able to wear robotic helpers

Robotic assistive device will lend a helping hand to infants with movement difficulties
Infants and young children with motor delays may soon be able to wear robotic helpers
Read More »
Bourns Hall

Infants and young children with motor delays may soon be able to wear robotic helpers

Robotic assistive device will lend a helping hand to infants with movement difficulties
Infants and young children with motor delays may soon be able to wear robotic helpers
Read More »