Sunil

PhD from ASU. Machine Learning and Signal Processing.

[ASU SenSIP @asusensip]

SenSIP Seminar:

From Quantum Control to Variational Quantum Algorithms and back

Presenter: Prof. Christian Arenz, ECEE ( @AsuEnergy )

Friday, February 18, 2022, 3:00 PM

Hybrid Format; In person at GWC 487 & via Zoom

(Masks required for in person attendance)

[ASU SenSIP @asusensip]

Congratulations to Matthew! He worked on Quantum Machine Learning (QML) in our @asusensip 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. @ASUEngineering @ASUResearch

[ASU SenSIP @asusensip]

Congratulations Dr. @uday_s . Great pics. We will do this also in May at the @ASUEngineering graduation ceremony with you, @MS_Sunil_Rao and @JaskieKristen. Congrats to all of you. @AsuEnergy @andreas_spanias @jjayaram7

[Uday Shankar S @uday_s]

Graduation Commencement at Arizona State University!

#ASUgrad @asusensip

[ASU SenSIP @asusensip]

Happening Now: Our Industry Advisory Board winter meeting. Participation from: @Alphacore14, @NXP @RaytheonTech @GDMS @Qualcomm @PSG_INC Resonea EF Data & IBM. 38 attendees including NSF, Industry, Faculty & Students. Support by NSF1540040 & Industry. @ASUResearch @AsuEnergy

[ASU SenSIP @asusensip]

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 @AsuEnergy & @ASU_ArtsMedia is also involved in the project. @imaginglyceum

[ASU SenSIP @asusensip]

Congrats to @AsuEnergy student @MS_Sunil_Rao 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   @ASUResearch #solarenergy

[ASU SenSIP @asusensip]

Congrats to students Michael (@barretthonors), Sunil & Vivek (@AsuEnergy) for presenting REU / @ASUResearch 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.

[Sunil @MS_Sunil_Rao]

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

[ASU SenSIP @asusensip]

Happening Now: SenSIP seminar by @AsuEnergy Ph.D student Sunil Rao. Sunil (@MS_Sunil_Rao) is working on #MachineLearning for #solarpanel fault detection (portions published in IEEE Access). This @ASUResearch is being supported by NSF CPS award 1646542 & NSF MRI award 2019068.

[Sunil @MS_Sunil_Rao]

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

[Sunil @MS_Sunil_Rao]

This full paper is now available on IEEE Xplore!

https://t.co/FG8xT4ZoCu

[ASU SenSIP @asusensip]

Congrats to @AsuEnergy students @MS_Sunil_Rao, @GowthamMuniraju and the entire author team for acceptance of their paper to the IEEE Access Journal. @ASUResearch was on the design of pruned #NeuralNetworks for #SolarPower fault classification. Work supported by NSF CPS 1646542.

[ASU SenSIP @asusensip]

Congrats to @AsuEnergy students @MS_Sunil_Rao, @GowthamMuniraju and the entire author team for acceptance of their paper to the IEEE Access Journal. @ASUResearch was on the design of pruned #NeuralNetworks for #SolarPower fault classification. Work supported by NSF CPS 1646542.

[Sunil @MS_Sunil_Rao]

Lol!

[ASU SenSIP @asusensip]

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

[Yann LeCun @ylecun]

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...

[ASU SenSIP @asusensip]

@ASUEngineering PhD student @VivekSivaraman1 presenting his paper “USING DEEP IMAGE PRIORS ......” at IEEE ICASSP 2021. Collaborative @asusensip & @Livermore_Comp work co-sponsored in part by a summer LLNL internship & the SenSIIP I/UCRC NSF #1540040.

@ASUResearch @IEEEsps

[ASU SenSIP @asusensip]

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.
@ASUResearch
@AsuEnergy
@GowthamMuniraju
Collaborative ASU-@Clarksonu #NSF RAPID award 2032114

[ASU SenSIP @asusensip]

Our recent @AsuEnergy PhD graduate @GowthamMuniraju 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.
@IEEEsps. @ASUResearch.

[ASU SenSIP @asusensip]

1st RET session.Teachers will be embedded in @ASUResearch 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