Sinan Rasiya Koya

PhD Student @unl_cee | Exploring #Hydrology and #Data Science | random seed 26

[Sinan Rasiya Koya @rk_sinan]

Our work on TFT for streamflow prediction is now published in the Journal of Hydrology! Combining attention mechanisms with recurrent networks enhances streamflow prediction (in 2,610 basins worldwide), compared to either approach alone. https://t.co/KQYVOOMH0D
@Tirthankar__Roy

[the Water Institute @water_institute]

Inside WaterResearch - Issue 19:

Dive into the performance of various models on the #GreatLakes—a region with complex transboundary datasets, diverse climatic and land use conditions, and immense socio-economic importance to both the USA and Canada.

https://t.co/mSbiR0T2Su

[Sinan Rasiya Koya @rk_sinan]

@shahdeep21 Great news!! Congratulations @shahdeep21

[Sinan Rasiya Koya @rk_sinan]

The last three days at #HydroML were incredible! I had the chance to connect with so many bright & beautiful minds, present my latest work, and engage in fantastic discussions. Above all, I feel amazing for being part of such a wonderful community. Thank you @PNNLab

[Vimal Mishra @vmishraiit]

Please apply and share with those who my be interested.

Dates for Summer School are July 1 to 21, 2024.

The deadline for applications is extended to June 7, 2024.

Application link: https://t.co/5T0W1llbTS #RemoteSensing #GIS #GeospatialTechnology

[Dipankar @DipankarDw08]

Attending an exciting talk by Prof. Ana Barros at HydroML. She’s sharing insights from her extensive research journey. #HydroML #Research

[Dipankar @DipankarDw08]

Looking forward to the 3rd HydroML Symposium! Let's take our ML skills to the next level. Join us to refine and polish your abilities. #HydroML #MLSymposium

[Sinan Rasiya Koya @rk_sinan]

Water ❤️

[Adam Grant @AdamMGrant]

The best place to relax is near water.

After just 2 minutes of viewing water outdoors, blood pressure and heart rate drop. It's more calming to look at a lake, pool, or stream than trees or grass.

Beaches are popular for a reason. Wider bodies of water bring more tranquility.

[Sinan Rasiya Koya @rk_sinan]

@EhsanForoumandi @Tirthankar__Roy Thank you @EhsanForoumandi

[Sinan Rasiya Koya @rk_sinan]

Our work on TFT for streamflow prediction is now published in the Journal of Hydrology! Combining attention mechanisms with recurrent networks enhances streamflow prediction (in 2,610 basins worldwide), compared to either approach alone. https://t.co/KQYVOOMH0D
@Tirthankar__Roy

[Sinan Rasiya Koya @rk_sinan]

@EhsanForoumandi @GavahiKeyhan @HamidMoradkhani @theAGU We recently implemented an auto-encoder based framework for snow droughts. Combined with Mutual Information, the method determine the weights of inputs. If interest, here is the link https://t.co/nLnqYJE4Y0

[Sinan Rasiya Koya @rk_sinan]

@KinarNicholas @KanakKantiKar1 @Tirthankar__Roy Thanks for sharing the paper @KinarNicholas

[Communications Earth & Environment @CommsEarth]

▶️A causal link exists between the North-Pacific index, which measures #sea-level pressure in the Northern #Pacific Ocean, and the frequency of rain-on-snow events in North America.
@rk_sinan @KanakKantiKar @Tirthankar__Roy
🔗Read more: https://t.co/kxZ5jia7b1

[Sinan Rasiya Koya @rk_sinan]

It was a great experience giving a talk on Streamflow Forecasting with Temporal Fusion Transformers in AGU23 Conference in San Fransisco.

If you are interested, find more in our preprint here: https://t.co/y9TPRXphCU

@theAGU #AGU23

[Vimal Mishra @vmishraiit]

Water and Climate Lab family @theAGU fall meeting in San Francisco! Unfortunately, I have missed it. These young researchers are having a wonderful time! #AGU2023 #AGU23

[Kanak Kanti Kar @KanakKantiKar1]

We (Students of Roy Research Group) are/will be presenting our ongoing work @theAGU from @unl_cee. If you are attending #AGU23, you are cordially invited in our presentations.
@rk_sinan @Tirthankar__Roy

[Sinan Rasiya Koya @rk_sinan]

Thrilled to share our recent work showing that combining attention with recurrence can improve streamflow prediction. For the first time, we set up Temporal Fusion Transformers for 2610 basins worldwide. TFTs outperform benchmark LSTMs & Transformers.

https://t.co/y9TPRXoJNm

[Sinan Rasiya Koya @rk_sinan]

Our new work, “Applicability of a Flood Forecasting System for Nebraska Watersheds,” published in EMS. This work is an important stepping stone towards a statewide operational real-time flood forecasting system for Nebraska. https://t.co/xFT6pdVj26

[Hydrology MDPI @Hydrology_mdpi]

Application of Neural Networks for #Hydrologic Process Understanding at a Midwestern #Watershed
by Annushka Aliev, Sinan Rasiya Koya @rk_sinan, @Tirthankar__Roy et, al.
https://t.co/ef4jpdTKhn
#rainfall
#runoff
#artificialneuralnetwork
#flood
#drought

[Dr. Julie Mai (@julieeemai.bsky.social) @JulieeeMai]

Presentation 2:
"The Great Lakes Runoff Intercomparison Project (GRIP-GL)"
📍McCormick Place - E352
⏲️Thursday, 17:30-17:40 am