gsoc: add full list of projects for 2025

Author: vvolkl

gsoc/2025/blogs.md

@@ -34,3 +34,31 @@ year: 2025
 <hr>
 {%- endif -%}
 {% endfor %}
+
+## Full list of projects in 2025
+
+- Abhishikth Mallampalli - [Highly Granular Quantization for CICADA](https://github.com/abhi-mal/google-summer-of-code-2025-cicada) - Lino Gerlach, Jennifer Ngadiuba  
+- Andrei Girjoaba - [Integrating Support for Google XLS in hls4ml](https://github.com/fastmachinelearning/hls4ml/pull/1343) - Vladimir L, Dimitrios Danopoulos  
+- Carter Capetz - [Physics-Constrained Autoencoders: Intelligent Compression in High Energy Physics](https://github.com/ccapetz/baler/tree/early-work) - James Smith  
+- JohnKala - [Background Enrichment augmented Anomaly Detection (BEAD)– Contrastive VAE & Transformer Architecture](https://gist.github.com/JohnKala/9e41c2cfc213920abd80db494f624faf) - Pratik Jawahar, Sukanya Sinha  
+- Kriti Mahajan - [RNTuple in JSROOT](https://drive.google.com/file/d/1d3hSGvQk0-77gMFqEoX0CCCdswliuL3L/view?usp=sharing) - Sergey Linev, Giacomo Parolini  
+- MytsV - [Rucio WebUI Revamp](https://github.com/rucio/webui) - Martin B, Mayank Sharma  
+- Osama Tahir - [Intelligent Log Analysis for the HSF Conditions Database](https://github.com/BNLNPPS/intelligent-logging-pipeline) - Michel Villanueva, Ruslan Mashinistov  
+- Prasanna Kasar - [TMVA SOFIE - Enhancing Keras Parser and JAX/FLAX Integration](https://gist.github.com/PrasannaKasar/3cf1ccc7109a9bf5d784b973233ed05a) - Lorenzo Moneta, Sanjiban Sengupta  
+- S. Akash - [TMVA SOFIE - GPU Support for Machine Learning Inference](https://gist.github.com/Akasxh/037013605f9823ac5eeb1c577177eafd) - Lorenzo Moneta, Sanjiban Sengupta  
+- Tarun Nandi - [Data Representation Optimisation for Generative Model-based Fast Calorimeter Shower Simulation](https://github.com/Tarun-Nandi/Data-Representation-Optimisation-Algorithms-CERN--GSoC-) - Piyush Raikwar, Peter McKeown  
+- Yolanne Lee - [Neural (De)compression for High Energy Physics](https://github.com/yolannel/ATLAS_decompression) - Maciej Szymański  
+- Jason Wu - [Evaluating CVMFS for Machine Learning Model Distribution](https://github.com/jasonwu224/cvmfs-model-file-benchmark) - Lorenzo Moneta, Valentin Volkl  
+- Petro Zarytski - [Improve automatic differentiation of object-oriented paradigms using Clad](https://gist.github.com/PetroZarytskyi/b640ef2ba030255189450f2f26fcd3f8) - Vassil Vassilev, David Lange  
+- Karan Singh - [Benchmarking Sustainability of Classical & Quantum Algorithms for particle trajectory reconstruction](https://github.com/KaranSinghDev/E-QUEST) - MiriamLucioMartinez, Arantza Oyanguren  
+- Kossi Glokpor - [Implementing a deprecation system for Ganga](https://github.com/ganga-devs/ganga/pull/2422) - Alexander Richards, Ulrik  
+- Madlani Shivam - [Extending support on custom kernels with virtme-ng](https://github.com/cvmfs/cvmfs/pull/3986) - Valentin Volkl, Georgios Christodoulis  
+- Salvador de la Torre Gonzalez - [CARTopiaX: an Agent-Based Simulation of CAR T-Cell Therapy built on BioDynaMo](https://gist.github.com/salva24/c22145c877561dca80cfd42d2b0d08c8) - Vassil Vassilev, Lukas Breitwieser  
+- Abhinav Kumar - [Implementing Debugging Support for xeus-cpp](https://gist.github.com/kr-2003/fa5a74d074d68883524cafab14672b55) - Vassil Vassilev, Vipul Cariappa  
+- Abdelrhman Elrawy - [Support usage of Thrust API in Clad](https://gist.github.com/a-elrawy/91706938192dbf45b4afcff5ef83a66b) - Vassil Vassilev, Alexander Penev  
+- Aditi Milind Joshi - [Implement and improve an efficient, layered tape with prefetching capabilities](https://gist.github.com/aditimjoshi/6eba0e696637094be570b35a01f16836) - Vassil Vassilev, David Lange  
+- Aditya Pandey - [Using ROOT in the field of genome sequencing](https://gist.github.com/AdityaPandeyCN/894eb69e2e3790f43fbcd1c16ffa4f14) - Vassil Vassilev, Martin Vassilev  
+- Jiayang Li - [Enable automatic differentiation of OpenMP programs with Clad](https://gist.github.com/Errant404/3976629ac5eb56ad1fa11576536b61a3) - Vassil Vassilev, Martin Vassilev  
+- Maksym Andriichuk - [Implement activity analysis for reverse-mode differentiation of (CUDA) GPU kernels](https://gist.github.com/ovdiiuv/4cf58ac514a6d5d5d852a4529baed736) - Vassil Vassilev, David Lange  
+- Rohan Timmaraju - [Enhancing LLM Training Efficiency with Clad for Automatic Differentiation in C++](https://compiler-research.org/blogs/gsoc25_rohan_final_blog/) - Vassil Vassilev, David Lange  
+- Sakshi Kumar - [GreenML@CERN – A Comprehensive Framework for Energy-Efficient Scientific Machine Learning](https://github.com/sakshikumar19/Google-Summer-of-Code-2025) - Caterina Doglioni