SenSIP Center and Consortium

SenSIP Center and Consortium Contact information, map and directions, contact form, opening hours, services, ratings, photos, videos and announcements from SenSIP Center and Consortium, 699 S Mill Ave, Tempe, AZ.

The mission of the SenSIP Consortium is to
perform use-inspired research and train students in sensor and information systems, digital signal and image processing, wireless communications, networks, and multimedia.

Exciting news on Quantum Computing for the ASU-SenSIP CenterWe are grateful to Amazon Web Services (AWS) for the generou...
03/21/2026

Exciting news on Quantum Computing for the ASU-SenSIP Center

We are grateful to Amazon Web Services (AWS) for the generous support of our research and education efforts in Quantum Machine Learning (QML) by providing access to Amazon Braket, expert advice, and training. This support will help enable SenSIP researchers, course instructors, and workforce development mentors to train students on a variety of quantum computers and software tools via Amazon Braket to implement and benchmark QML algorithms. The support is intended to accelerate hands-on learning, algorithm development, and performance profiling, with outcomes and insights from experiments run on Braket shared with AWS to inform continued collaboration and impact.

An event will be planned at the SkySong, The ASU Scottsdale Innovation Center facility to launch Braket implementations efforts and showcase student results with Amazon Braket to the developer community and AWS team.

School of Electrical, Computer and Energy Engineering at ASU
Sensip REU
SenSIP Center and Consortium

12/04/2024
After a small gathering in our lab yesterday
03/27/2024

After a small gathering in our lab yesterday

Nice article by Joe Kullman on our ASU-DCU collaborative grant.
11/23/2023

Nice article by Joe Kullman on our ASU-DCU collaborative grant.

ASU engineering students gain valuable opportunities in the SenSIP Center’s NSF-funded Ireland International Research Experiences for Students program.

From IEEE Signal Processing Society: The inaugural SPS Panel Series kicks off Monday, 23 October! Join the conversation ...
10/22/2023

From IEEE Signal Processing Society: The inaugural SPS Panel Series kicks off Monday, 23 October! Join the conversation — learn and discuss how advances in machine learning and artificial intelligence are impacting how we teach signal processing to the next generation. Register: https://hubs.la/Q02684mV0

Our Sensip REU student Leslie Miller won the Fulton Engineering Impact award this year.  She was also the graduating stu...
05/26/2023

Our Sensip REU student Leslie Miller won the Fulton Engineering Impact award this year. She was also the graduating student speaker at the ASU Fulton Schools convocation earlier this month. Leslie's REU project was on Quantum Machine Learning for Imaging applications. Her work will be published at the IEEE DSP conference and also appear on IEEE Xplore. Read the story at

Leslie Miller plans to earn a master’s degree in electrical engineering in the Fulton Schools before beginning a job with the U.S. Space Force.

02/06/2023

Applications for our AI summer International Research Experiences for Students (NSF IRES) workforce programs are open. IRES collaborative research is with the DCU Insight Center in Dublin and the KIOS Center in Cyprus. More info at
https://sensip.engineering.asu.edu/workforce-programs/

Congratulations!
10/27/2022

Congratulations!

Jennifer Blain Christen won the 2022 Joseph C. Palais Distinguished Faculty Scholar Award for her outstanding contributions to electrical engineering.

Good news from Skysong Innovations Happy to announce that two full US patents were issued with student co-authors.last w...
10/19/2022

Good news from Skysong Innovations

Happy to announce that two full US patents were issued with student co-authors.last week.

Congratulations to our students Gowtham Muniraju (now w NXP), Sameeksha Katoch (now w Qualcomm), and Divya Mohan (SenSIP REU 2018)

Patents listed below

P.1. Analysis and Design of Robust Max Consensus for Wireless Sensor Networks, Gowtham Muniraju, Andreas Spanias, Cihan Tepedelenlioglu, US 11,490,286, 2022.

P.2. Adaptive Video Subsampling For Energy Efficient Object Detection, Suren Jayasuriya Pavan Turaga, Andreas Spanian Sameeksha Katoch, Divya Mohan, US 11,481,881, 2022.

Support in part from NSF SenSIP I/UCRC 1540040, NSF REU 1659871 and grants from the Imaging Lyceum Lab in AME.

School of Electrical, Computer and Energy Engineering at ASU

The SenSIP NSF Research Experiences for Undergraduates (REU) program..
10/01/2022

The SenSIP NSF Research Experiences for Undergraduates (REU) program..

A great SenSIP REU group this year completed in mid July. Several research projects provided innovative results on sensors and machine learning. We anticipate that research results from at least three of the nine projects will be disseminated to IEEE conferences and the rest will be presented at REU specific events.

Address

699 S Mill Ave
Tempe, AZ
85281

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