1st RET session.Teachers will be embedded in Arizona State University Research projects. Topics include: #quantum #machinelearning (ML), point of care sensors, sensors for bycatch tech, ML for COVID-19 detection, ML for PV control, embedded ML & IoT. Teacher research experiences funded by NSF 1953745

Our research on Consensus based COVID-19 Hotspot Network Estimation is featured in the #IEEE ICASSP 2021 program (6/9/21). #ICASSP is the flagship IEEE conference in signal processing. Arizona State University Research ASU School of Electrical, Computer & Energy Eng Gowtham Muniraju Collaborative ASU-@Clarksonu #NSF RAPID award 2032114

Our recent ASU School of Electrical, Computer & Energy Eng PhD graduate Gowtham Muniraju will be presenting his paper “Consensus Based Distributed Spectral Radius Estimation” at IEEE ICASSP 2021 today. His research has been funded in part by the SenSIP NSF I/UCRC and more recently NXP. IEEE Signal Processing Society. Arizona State University Research.

ASU Ira A. Fulton Schools of Engineering PhD student Vivek Sivaraman presenting his paper “USING DEEP IMAGE PRIORS ......” at IEEE ICASSP 2021. Collaborative ASU SenSIP & LLNL Computing work co-sponsored in part by a summer LLNL internship & the SenSIIP I/UCRC NSF #1540040. Arizona State University Research IEEE Signal Processing Society

Evidence that arXiv posting accelerates progress: - MDETR paper was posted on arXiv on April 26 2021 (authors NYU+FAIR). - June 19: the winning entry of the ActivityNet-Entity challenge is based on MDETR (authors Renmin University of China). MDETR paper is still under review...

Our industry-university (I/UCRC) meeting will be held 6/29/21 with the NSF evaluator & all industry partners. Arizona State University Research proposals & progress reports on #sensors & #MachineLearning presented by faculty & students, REU/RET/IRES participants also presenting. NSF award 1540040.

Lol!

Congrats to ASU School of Electrical, Computer & Energy Eng students Sunil, Gowtham Muniraju and the entire author team for acceptance of their paper to the IEEE Access Journal. Arizona State University Research was on the design of pruned #NeuralNetworks for #SolarPower fault classification. Work supported by NSF CPS 1646542.

This full paper is now available on IEEE Xplore! ieeexplore.ieee.org/abstract/docum…

India administers 23 million vaccines in a single day! Wow!

Happening Now: SenSIP seminar by ASU School of Electrical, Computer & Energy Eng Ph.D student Sunil Rao. Sunil (Sunil) is working on #MachineLearning for #solarpanel fault detection (portions published in IEEE Access). This Arizona State University Research is being supported by NSF CPS award 1646542 & NSF MRI award 2019068.

I did my own research!!!! And I will have a PhD to show for it! Successfully defended my thesis today! #PhDLife #PhDChat

Congrats to students Michael (Barrett, The Honors College at ASU), Sunil & Vivek (ASU School of Electrical, Computer & Energy Eng) for presenting REU / Arizona State University Research on COVID-19 detection @ IEEE Asilomar Conf. Detection based on AI & Spectrograms of cough sounds. Latest results ranked high in Dicova Challenge. Support from NSF 1540040.

Congrats to ASU School of Electrical, Computer & Energy Eng student Sunil for defending successfully his dissertation research on pruned neural nets for PV array fault classification. His results published in IEEE Access & IEEE CPS. Patent pending. Support: NSF CPS Award 1646542   Arizona State University Research #solarenergy

Congratulations Dr. Uday Shankar S . Great pics. We will do this also in May at the ASU Ira A. Fulton Schools of Engineering graduation ceremony with you, Sunil and Kristen Jaskie. Congrats to all of you. ASU School of Electrical, Computer & Energy Eng Andreas Spanias Jay Thiagarajan

Happening Now: Our Industry Advisory Board winter meeting. Participation from: Alphacore, NXP RTX General Dynamics Mission Systems Qualcomm PSG_Inc Resonea EF Data & IBM. 38 attendees including NSF, Industry, Faculty & Students. Support by NSF1540040 & Industry. Arizona State University Research ASU School of Electrical, Computer & Energy Eng

Great plenary session by Michael Stanley who is with our industry member Lighsense. Michael is also our IAB chair. He presented #MachineLearning for spectroscopy for pathogen detection. Dr. Jayasuriya of ASU School of Electrical, Computer & Energy Eng & School of Arts, Media and Engineering (AME) is also involved in the project. ImagingLyceum_ASU

Congratulations to Matthew! He worked on Quantum Machine Learning (QML) in our ASU SenSIP REU (Summer 2021). He continued working on our I/UCRC QML project this fall as a funded UG researcher and co-authored an IEEE conference paper. ASU Ira A. Fulton Schools of Engineering Arizona State University Research

SenSIP Seminar: From Quantum Control to Variational Quantum Algorithms and back Presenter: Prof. Christian Arenz, ECEE ( ASU School of Electrical, Computer & Energy Eng ) Friday, February 18, 2022, 3:00 PM Hybrid Format; In person at GWC 487 & via Zoom (Masks required for in person attendance)