Sameeksha Katoch

PhD student; Machine Learning Researcher; Trivia Enthusiast; History Lover

[Sameeksha Katoch @sam94katoch]

@deepdanscience @kowshik0808 @OdrikaIqbal @VivekSivaraman1 @MS_Sunil_Rao Thank you @deepdanscience !!

[Sameeksha Katoch @sam94katoch]

Thank you to @asusensip for the support. I'm extremely grateful to @jjayaram7 and Dr. Suren Jayasuriya for their constant guidance and support. I would also like to thank @andreas_spanias, @pturaga1 and Dr. Cihan Tepedelenlioglu for their essential feedback regarding my research

[ASU SenSIP @asusensip]

Congratulations to @sam94katoch for defending successfully her PhD dissertation. Her @ASUResearch addressed effective priors & knowledge transfer in #DeepLearning with applications in imaging and PV shading prediction. @AsuEnergy @pturaga1 @jjayaram7 @andreas_spanias

[Jay Thiagarajan @jjayaram7]

Congratulations to @sam94katoch for successfully completing her PhD. Over the years, I have collaborated with her on a number of exciting projects in computer vision and healthcare AI. I am sure she is going to continue making important contributions to the field!!!

[Sameeksha Katoch @sam94katoch]

@jjayaram7 Thank you so much Jay. This would have not been possible without your support.

[Sameeksha Katoch @sam94katoch]

@kowshik0808 Thank you @kowshik0808. Wouldn't have been possible without your support.

[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

[Sameeksha Katoch @sam94katoch]

Please checkout our poster "Multi-Domain Ensembles for Domain Generalization" (Distribution Shifts Workshop) at Spot A2, Poster Room 3. #NeurIPS2021 @kowshik0808 @jjayaram7 @asusensip @pturaga1

[Kowshik Thopalli @kowshik0808]

I and @sam94katoch are presenting two papers on Domain Generalization at the Distribution Shifts workshop happening now @NeurIPSConf #NeurIPS2021 . Please visit

[ASU SenSIP @asusensip]

Congratulations to @AsuEnergy Ph.D student @sam94katoch for the 2021 US Patent 11,132,551 on shading prediction for #solarenergy arrays. This @ASUResearch was supported in part by the NSF CPS award #1646542 and the SenSIP NSF I/UCRC.

[ASU SenSIP @asusensip]

Happening Now. REU and IRES final research presentations. Student Niki Kyriacou presenting her work on shading prediction for solar energy applications. Niki is a Physics major at ASU. The project is collaborative with the @KIOSCoE at the @UCYOfficial. Programs funded by NSF.

[ASU SenSIP @asusensip]

Received news from NSF that the #ASU SenSIP & #DCU @insight_centre proposal will be funded. This IRES award will sponsor ASU students & faculty to travel and collaborate with DCU researchers on #sensors & #MachineLearning. NSF Award 2107439.
@oconnorn @njdunne_lab
@ASUResearch

[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

[Sameeksha Katoch @sam94katoch]

#ICCP2021 Excited to present a poster on our work on Robust Object Tracking for Adaptive ROI Subsampling using Deep Reinforcement Learning during the poster session on May 23 (1pm PST) and May 24 (7:30 am PST). This is joint work with @OdrikaIqbal @imaginglyceum and @asusensip.

[Sameeksha Katoch @sam94katoch]

Looking forward to attending #WiML2020 workshop this year. I am presenting in Session 2, Poster Room 4.
Special thanks to @asusensip for supporting this work.

[Sameeksha Katoch @sam94katoch]

#Neurips2020 Excited to present a poster on our work on Adaptive Subsampling Strategies for Energy Efficient Predictive Object Tracking at the #WiML2020 workshop on Dec 9. This is joint work with @OdrikaIqbal @imaginglyceum and @andreas_spanias.

[Sameeksha Katoch @sam94katoch]

DDxNet: Fully Convolutional Neural Network effective for diagnostic tasks with different modalities.

[Jay Thiagarajan @jjayaram7]

Paper: https://t.co/lRstGFOby5
Code: https://t.co/ERWt6nBzpO
Joint work with @deepdanscience @sam94katoch @asusensip

[ASU SenSIP @asusensip]

@MorganClaypool Describes collaborative #MachineLearning & #solarenergy research funded by #NSF CPS. Co-authors are from @asusensip @AsuEnergy, @DigitalCultureU @ASUHIDA @ASUEngineering. @ASUResearch @pturaga1 @MS_Sunil_Rao @sam94katoch @GowthamMuniraju @VivekSivaraman1 @ASU_SOS @ASUgreen

[Sameeksha Katoch @sam94katoch]

Definitely coolest to work with 😃

[LLNL Computing @Livermore_Comp]

Is there a more prolific researcher (or cooler PI) than @jjayaram7? #MachineLearning meets #HPC in his research at LLNL's Center for Applied Scientific Computing (CASC). Read more: https://t.co/AJL6xLSBpw #DataScience

[ASU SenSIP @asusensip]

A great article in Nature Nanotechnology honoring our late @AsuEnergy / @ASUBiodesign colleague NJ Tao. He collaborated with us on a few proposals. Exceptional faculty, center director, researcher, inventor, entrepreneur and family man. May he RIP. https://t.co/0Y7ZIXozhe

[ASU SenSIP @asusensip]

The SenSIP IRES program is recruiting students for a summer international research experience on sensors & machine learning @ the Univ. of Cyprus. All expenses covered. Eligible are US citizens or permanent residents. Appy @ https://t.co/gZSNUCjDal @barretthonors @ASUEngineering