Please read carefully #52
Replies: 91 comments 7 replies
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Hello everyone, 👋 email -> kartik.bhatt.ug22@nsut.ac.in Thankyou |
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Hello everyone, My name is Andrei Alexandru Stefan, and I am a Master's student in Computer Science with a focus on Artificial Intelligence. I hold a Bachelor of Science in Computer Science from the University of Bari Aldo Moro (Italy) and currently work as a Full Stack Developer. I have experience working with various technologies across both front-end and back-end development, and I am particularly interested in applying AI techniques to real-world problems. Speaking from a more practical research perspective, I have worked on several interesting projects. One of them was my Bachelor's thesis, which aimed to expand upon the study presented in this paper: https://www.mdpi.com/2079-9292/9/6/881. The CNN used in that research proved to be effective but had limitations in terms of usability and cell detection. My thesis focused on enhancing this approach by implementing real-time automatic cell detection. I integrated and tested various computer vision models, optimizing them for the specific application domain. Another notable project I worked on involved behavioral pattern recognition. By analyzing event logs of human activities such as sleeping, eating, and personal hygiene, I reconstructed behavioral maps to understand an individual's daily routine. This approach allows for continuous behavioral monitoring and anomaly detection, which, while potentially concerning in some contexts, has valuable applications in monitoring patients with chronic illnesses or individuals at risk of severe depression. For example, such a system could help detect early warning signs of suicidal tendencies in prisons, where suicide prevention is a major concern. Additionally, I developed a platform that integrates appointment management, data saving, card management, and a viewer, with 3D space modeling specifically designed for the dental field. This system provides a comprehensive approach for organizing and visualizing patient data in a 3D space, making it easier for practitioners to manage patient appointments and track their treatment progress. These are the experiences that are most relevant to what you might find interesting. I have wanted to participate in Google Summer of Code for a long time, and your organization is the one that inspires me the most and aligns perfectly with my interests. I love solving problems, and I love it even more when I can do so in the medical field. Looking forward to working with you all! Email: a.stefan1@studenti.uniba.it |
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Hello everyone, My name is Aditya Patil. I am a third-year BTech student in electrical engineering at the National Institute of Technology Hamirpur. I am a seasoned backend engineer with a background in security and work experience in startup environments and consulting clients. I am on a professional break to focus on research, publish papers, and build my products. My expertise is in building scalable backend solutions and system designs. I have a few projects in electronics and security as well. I was an avid CTF player back in the days. My last research paper was on Industrial Control Systems published in IEEE. I am bit of a diverse person working on a lot of things, the README.md on my LinkedIn and GitHub profiles contains everything you need to know about me. If you find anything interesting, feel free to contact me. I would be more than happy to continue the conversation. LinkedIn: https://www.linkedin.com/in/aditya-patil-260a631b2/ Looking forward to building something great. Email: adityapatil24680@gmail.com |
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I recently watched a TEDx talk on AI ethics in healthcare, focusing on bias and transparency challenges. These issues are critical, as biased AI models can lead to disparities in diagnosis and treatment, while transparency is essential for trust and accountability. Email: amiray572@gmail.com |
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Hello Everyone! I'm Kannav Sethi , a 4th Year Software Engineering Student @ Seneca Polytechnic and I am currently working as a Research Assistant for A Computer Vision and Deep Learning Project. My experience includes building ML models for document processing, computer vision applications, and cloud-based automation. In addition to my academic projects, I have been actively contributing to open-source, including:
Beyond coding, I also enjoy sharing my knowledge through technical blogging, where I document my learnings and experiences. You can find my blog here: Blog Link I am particularly excited about contributing to Open-Source Framework for Advanced EEG Data Analysis as it deeply aligns with my interest in deep learning and self-supervised learning. I am eager to work with EEG data, optimize foundation models, and apply cutting-edge ML techniques to enhance signal analysis. I look forward to the possibility of working on this project Thank You, Email : ksethi11@myseneca.ca |
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Hello everyone, I'm Jinash Rouniyar, a sophomore at Georgia State University, and I'm currently working as an Undergraduate Research Intern at AI2 Research Laboratory where I am currently leading the development of a Django-based conversational RAG chatbot that simulates patient-nurse interactions. I have experience in full-stack development, data visualization, and AI integration. Additionally, I have worked on a Learning Management System focusing on the safe and ethical use of AI within classroom environments. Therefore, I am particularly interested in the Health-AI Ethics Atlas project as it aligns with my passion for AI ethics and my experience in contributing to medical projects. My skills in JavaScript, D3.js, Leaflet, and handling large datasets make me excited about the prospect of building an interactive global map to visualize the ethical principles of medical AI. I'd love to have the opportunity to collaborate with the community and contribute meaningfully to this project. Email: rouniyarjinash123@gmail.com |
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👋 Hello Everyone! Built real-time emotion detection models (25% accuracy improvement) 🧠 Why I'm Excited About This Project Strong background in neural signal processing 🛠️ Relevant Projects Developed U-Net based image segmentation (85% IoU score) 🏆 Achievements Ranked 2nd in ABINITO AI Hackathon I'm eager to apply my signal processing expertise to advance brain decoding through diffusion models! Let's push the boundaries of neuroscience and AI together! 💡 |
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Hello everyone! My name is Ruimin. I am a recent graduate from the University of Michigan with a bachelor's degree in Computer Science and Behavioral Neuroscience. I am currently a research technician (lab manager) at Georgia Tech. I primarily use Python (PyTorch for ML) and am proficient in MATLAB. I have actively conducted research in cognitive neuroscience, with published or in-preparation papers using EEG and fMRI. Additionally, I have worked with biometric data such as ECG, PPG, and skin conductance. One another relevant experience is that I am currently developing a Python package for fMRI fROI analysis and conducting methodological research for it. In addition, I have experience with most fundamental ML models, using language models for research, and an in-class project on diffusion models. As a potential user of many methodological projects, I am very excited about these projects and keen to learn and contribute. Email: ruimin.gao@gatech.edu |
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Hi @zeydabadi, I am particularly interested in the project on EEG analysis using pretrained foundation model. I noticed that the project status and source code is currently in progress. Could you share more info about the current status of the project (e.g., anything has been done so far regarding the foundation model)? |
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Hello everyone, Inzemam this side a final year student from GGSIPU. I have a good grasp on Fullstack development whether it's for web or mobile. I want to contribute to the project Health-AI Ethics Atlas. email: inzemamhaq05@gmail.com |
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Hello everyone , Raj Shekhar this side. email : rajazafy3@gmail.com |
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Hello Everyone! I'm Rishi Raj, a final-year B.Tech student in Electronics and Communication Engineering @ NIT Delhi, with a minor in AI & ML. Currently, I am working as a Full Stack Intern at 5ire Chain, building a role-based access control system using ReactJS, NodeJS, and MongoDB. My experience spans full-stack development, cloud-based applications, and AI-driven solutions. Some of my key projects include: 🔹 Zayka Express – A MERN-based food ordering platform with secure authentication and checkout. Beyond projects, I have actively contributed to open source, enhanced competitive programming skills (LeetCode 1700+ rating, 1000+ problems solved), and held leadership roles, such as SIH Coordinator and TnP Coordinator, facilitating successful events and placements. I am passionate about problem-solving, full-stack development, and AI-driven applications. Excited to collaborate on innovative projects! 📩 Email: 211220044@nitdelhi.ac.in Looking forward to connecting! 🚀 |
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Hi everyone, i am Rakshit Oswal, a sophomore at Vit Pune. I am quite intrigued by the AI Ethics Atlas project. Reading about this project got me wondering what the data sources for this project would be? I did some research and checked WHO for datasets related to ethical principles in medical AI, but I couldn’t find anything comprehensive. Would we be relying on some global survey or go through each country's official AI regulations and ethical guidelines? email : rakshitoswal052@gmail.com |
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Greetings everyone, I am Mariam, final year undergraduate student pursuing electrical engineering at Jamia Millia Islamia University, India. I am working with EEG signals (recording and processing them) for my major thesis project. I have experience with python and libraries for ML/DL, MATLAB and its signal and image processing tool box among other technical skills. I have previously worked with medical images for my research internship last summer, that involved using transfer learning for ophthalmic images. email : mariammanaullah1503@gmail.com |
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Mi chiamo Pasquale Ricciulli e attualmente sto conseguendo un Master in Intelligenza Artificiale e Robotica. Durante il mio percorso accademico, ho acquisito esperienza nel campo dell'apprendimento automatico, in particolare nelle seguenti aree:
Sono molto motivato a partecipare al programma Google Summer of Code, poiché credo che offra un'opportunità unica per lavorare in un ambiente dinamico e collaborativo. Questa esperienza non solo migliorerà le mie capacità tecniche e scientifiche, ma mi permetterà anche di apprendere metodologie innovative da professionisti esperti. Sono ansioso di contribuire a progetti open source rilevanti a livello internazionale mentre promuovo la mia esperienza nell'intelligenza artificiale. |
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Dear Project Mentors/Community, Hi!My name is Sidra Ansari, and I am from Karachi, Pakistan. I have a Bachelor's degree in Computer Engineering from Sir Syed University of Engineering & Technology, Pakistan, and a Master's degree in Data Science from the National University of Computer & Emerging Sciences (Pakistan). During my Master's, I conducted research on "Detection & Treatment of Breast Cancer Disease using H&E Images for Classification and Image Translation of Two Domains", applying Deep Learning and Computer Vision techniques using the PyTorch framework. I am currently working on publishing a paper based on my thesis. I am enthusiastic about contributing to GSoC'' 25 and would love to work on "Advancing Brain Decoding and Cognitive Analysis: Leveraging Diffusion Models for Spatiotemporal Pattern Recognition in fMRI Data" .My strong background in deep learning and research experience in medical imaging align well with the objectives of this project. I am eager to apply my deep learning expertise to analyze complex fMRI data and uncover meaningful brain activity patterns. I have gone through the project details and would love to take part on this project. Looking forward to your guidance and feedback! Best regards, |
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Hi everyone, My name is Yuhua (Lisa) Lu. I’m a graduate from Swarthmore College and majored in Mathematics and Computer Science. I have previous experience in computational neuroscience through a research project I contributed to during college. We investigated binocular rivalry using a biologically-inspired spiking neural network model and reconstructed evolving percepts from internal dynamics using a compressive sensing framework. Through my previous internship at a fund management company, I had the opportunity to work on investment alpha factor engineering, where I developed and evaluated deep learning models to generate predictive signals from historical stock data. The experience trained me to think critically about data preprocessing, signal reliability, and model generalization. I have experience with Python, PyTorch, scikit-learn, and I’m excited to apply those skills to the Advancing Brain Decoding and Cognitive Analysis: Leveraging Diffusion Models for Spatiotemporal Pattern Recognition in fMRI Data project. I look forward to collaborating with and learning from this community. Best,
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Hi, I have previously worked at UC San Diego, HMI Lab, IIITD, and AI Institute University of South Carolina; I have a publication in InterSpeech 24 as the first author, and two more papers are currently in review. I have significant experience in medical imaging especially for 3D continuous data, Looking forward to work on some exciting projects. Thank You for your time. |
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I am Niket Bhatt, a Master of Applied Computing candidate at the University of Windsor (expected 2026) and a Bachelor of Engineering graduate in Information Technology with a CGPA of 9.07/10. My passion lies at the intersection of machine learning, signal processing, and solving high-impact scientific challenges, particularly in healthcare and neuroscience. Over the past three years, I have honed my technical and analytical skills through roles at premier institutions like ISRO and AIntelligence Technologies, where I developed scalable ML solutions and validated complex datasets with measurable success. At ISRO, I engineered an ML-based GUI to process and validate geophysical satellite time-series data, achieving 94.4% accuracy and streamlining workflows for researchers. This experience equipped me with expertise in temporal/spatial signal analysis and end-to-end ML pipelines, directly applicable to fMRI’s high-dimensional spatiotemporal data. Similarly, at AIntelligence Technologies, I contributed to healthcare AI projects, deploying models on AWS and collaborating on simulations that required precise noise reduction—a skill critical for fMRI preprocessing. My technical foundation is strengthened by hands-on projects such as a Phishing Detection Model, where I applied NLP and pattern recognition to identify malicious content, and an ATS Tracker Website built with React/Node.js, demonstrating my ability to design user-centric tools for complex data. Additionally, during my internship at Infolabz, I automated data cleaning for 1M+ records using Python, cutting manual effort by 84.61%—a testament to my proficiency in large-scale data engineering, a necessity for fMRI datasets. This project’s focus on diffusion models for brain decoding resonates deeply with my goal to advance AI-driven healthcare solutions. My experience with PyTorch (self-taught via projects like the ISRO GUI), Python-based signal processing, and cloud deployment (AWS/Azure) positions me to adapt diffusion architectures to fMRI’s unique challenges. Furthermore, my cybersecurity training, including anomaly detection and log analysis, aligns with the need for robust noise reduction and validation in neuroimaging pipelines. Key Connections to the Project Signal Processing & ML Expertise: Technical Skills: Proven Outcomes: E-mail ID: niketbhatt28@gmail.com | bhatt6d@uwindsor.ca I will send my proposal too for Project no: 4 |
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Hi, During my professional Journey, I have worked as a research intern at Indian Space Research Organization (ISRO) where I demonstrated my skills in Machine Learning, GIS and their implementation on the raising Public Health Concerns. Aside from my Internship, I have been a lead contributor to an Open Source Project by Omdena VIT Bhopal Local chapters and also acted as the Team lead in International projects in collaboration with Omdena Mexico and Algeria Chapters in solving the real time problems with the help of Machine Learning and Artificial Intelligence. My technical foundations and skills gained from experience serves as a critical aspect for implementing various solutions on the project and I look forward to contribute to Emory's vision for advancing the brain decoding and the cognitive analysis. |
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@zeydabadi @shiva-karthick @PasqualeRic @ishqDehlvi @mattjinks how many slots have been allocated for Emory's GSOC projects?. |
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Unfortunately, we’ve received a high volume of inauthentic, AI-generated responses, fake resumes, and proposals. We ask that all applicants respect our time by submitting genuine materials that reflect their true experience and qualifications. |
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Hi, I'm Nedjaoui Ihssane. I'm currently pursuing my engineering degree at the National School Of Applied Science within the AI and Data Engineering field. I expect to graduate in 2026. I'm focusing mainly on learning about classical deep learning architectures such as MLP, RNN, CNN, with a keen interest in novel ones such as Transformers and diffusion models. My interests lie at the intersection of technical expertise with human experience, the use of AI for human good, and for the benefit of all societies. I'm currently working on a project that uses generative AI for improving healthcare by generating human-like analysis for medical records. My projects use the power of AI to drive meaningful impacts. As an open-source effort, I'm a data team member of AtlasIA, an open-source initiative committed to developing AI models that resonate with Moroccan values. Within this community, I contribute to data annotation and curation tasks. I discovered the GSoC program and was looking for opportunities in AI related to medicine. I was really glad to find your organization and two projects that focus mainly on cutting-edge technologies for neuroscience. I felt a deep attachment to both of these projects. Looking forward to contributing to your mission for advancing EEG analysis. You can find my contact information below: Email: ihssanenedjaoui5@gmail.com |
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Hi [Mentor / OSET Team], I hope you're doing well! My name is Shreyaa Dhatrika, and I’m excited to express my interest in contributing to the Python Expansion of the Open Source Electrophysiological Toolbox (OSET) as part of GSoC 2025. A bit about me—I recently completed my Master’s in Computer Science from Texas A&M University – Corpus Christi and currently work at Equifax as a Data Engineer. I’ve had the opportunity to work on some really exciting projects, especially in the healthcare space, where I built end-to-end AI/ML pipelines, implemented RAG architectures for better data search, and developed custom prediction workflows. I’m quite comfortable working with both Python and MATLAB, and I have a strong background in signal processing and biomedical applications—so this project feels like a perfect fit. For this GSoC project, my goal is to help expand OSET’s Python implementation so it mirrors the existing MATLAB toolbox in terms of functionality and performance. I plan to focus on translating remaining modules, building robust cross-language unit tests, packaging the toolbox as a standard Python library, and improving documentation and usability with examples and installation support. I’d also like to introduce CI pipelines and performance benchmarks to ensure the package is sustainable and developer-friendly moving forward. Here’s a rough timeline I’ve planned: Community Bonding (May 20 – June 16): Get familiar with the codebase, engage with the community, and finalize the roadmap with feedback from mentors. Development Phase (June 17 – August 18): First, translate and test modules; next, work on packaging and benchmarking; and then polish the tool with automation and clean architecture. Final Phase (August 19 – September 8): Wrap up testing, write complete documentation, and submit the final deliverables. I’m applying for the full-time (35 hours/week) project track and will be available from 9 AM to 5 PM EST (UTC -4) throughout the summer. I don’t have any vacation or academic conflicts during the GSoC timeline, but I’m flexible if the schedule needs to shift slightly later. I’d love the chance to collaborate on this project and contribute to OSET’s mission of making biomedical signal processing tools more accessible and robust. Thanks so much for considering my proposal—I’m happy to chat further or answer any questions! Warmly, |
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Hi, I'm Sahithi Madas, a graduate student in Data Science at SUNY Albany and a Data Engineer Intern at Albany County Local Government, NY. I've been exploring a while now, looking for projects where AI and Data Analytics meet healthcare space. Your project on "Adaptive Closed-loop Neuromodulation" immediately grabbed my attention. The idea of using reinforcement learning in a closed-loop system to personalize brain stimulation - esp. for Parkinson's disease—really resonates with me. I've worked on public health-related data analysis with the New York State Department of Health as a Datat Analyst Intern and built dashboards and machine learning models that involved large-scale health and environmental datasets. Additionally, I've developed predictive models for "Disaster Risk" and "Resale Car Price Predictor" and have experience in Python, PyTorch, and machine learning libraries by building clean ML pipelines. While I haven't worked directly with EEG data yet, I've done real-time signal processing using OpenCV, and I'm confident in my ability to apply similar principles here. I'm particularly excited by the idea of contributing to the data preprocessing and model training stages in reinforced learning (RL). This project felt like a meaningful step in bringing AI and healthcare - something I have always talked about and deeply passionate to contribute. Best, |
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Hi everyone! 👋 I’ve been exploring the “Open-Source Framework for Advanced EEG Data Analysis Using Pre-trained Foundation Models” project and I’m really excited about its potential. I’ve worked on AI/ML-based mental health tools in hackathons and have experience with Python, PyTorch, and NLP models. I’m currently preparing my GSoC proposal and would love any guidance on: Looking forward to learning from and contributing to this incredible project! 🙌 Best, |
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Hi everyone, I'm Dante from University of Rome La Sapienza, currently involved in AI-based biomedical signal processing with a focus on explainable models and signal standardization. I’ve worked with both MATLAB and Python, and I’m very familiar with clinical time-series signals (EMG, IMU). I explored the OSET repository and found the transition to a modern Python package a very meaningful step for community adoption. I had a couple of questions:
Looking forward to your feedback and possibly contributing to this migration. Best, Email: dantetrb@gmail.com |
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Hi @zeydabadi My Github : https://github.com/rahulcse129/ |
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Hi @zeydabadi , myself mani undergrad student of CSE. Are you guys going for GSOC 26 or not, and I want to know about the repos and projects where i can contribute. |
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Hello everyone, My name is Trishya Gupta. I am a BTech Computer Science (AI specialization) student at Lucknow University, India. I am currently focusing on AI research, machine learning projects, NLP, and open-source contributions. My expertise includes machine learning, deep learning, NLP, data-driven systems, and building interactive web interfaces. I have hands-on experience with HTML, CSS, JavaScript, MySQL, and have contributed to open-source projects in the OpenCV ecosystem, which helped me work effectively with large codebases and community-driven workflows. I have developed projects such as a Smart E-Commerce Product Comparison & Recommendation Engine and a Movie Recommendation System, gaining practical experience in data preprocessing, metric design, and system integration. I am also interested in publishing research papers in AI and NLP. You can find more about my work on GitHub and LinkedIn: GitHub: https://github.com/Trishya123 LinkedIn: www.linkedin.com/in/trishya-gupta-83a6b9324 Best regards, |
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Dear @zeydabadi , Greetings of the day. I am Divakar Daya, a 2nd-year Data science student at the Indian Institute of Technology, Madras. I am writing to express my interest in contributing to Emory University’s Department of Biomedical Informatics as a GSoC 2025 contributor. I love working on applied Machine Learning and AI systems, particularly in building end-to-end, production-oriented ML pipelines. I have hands-on experience designing multi-agent AI systems, Retrieval-Augmented Generation (RAG) workflows, and data-driven predictive models, and I enjoy working at the intersection of research ideas and deployable software. Recently, I have worked on:
My technical stack includes Python, ML/AI, LLM systems, data analysis, and backend development, with experience using tools such as Docker, Git/GitHub, Streamlit, and modern ML frameworks. I am comfortable spending time deeply understanding existing codebases, research context, and design decisions before contributing meaningful pull requests. I have attached my CV and included relevant links below for reference:
I would be excited to contribute steadily to Emory BMI’s open-source efforts and align my work closely with the group’s long-term goals. If there are particular repositories or components where you believe sustained contributions would be most valuable, I would be happy to start there. Thank you for your time and for supporting contributors in the open-source community. Best regards, |
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Greetings Everyone,
We utilize GitHub Discussions as a means of communication.
While the participating organizations for GSoC 2025 have not been officially announced, it would be beneficial for us to initiate introductions and familiarize ourselves with one another. You are encouraged to respond to this discussion thread, providing information about yourself and the projects you are involved with.
A few comments to get you started:
Please go through the project ideas list and find the idea(s) that you are interested in.
Please ask your questions in the relevant channels for existing projects. Questions and discussions on projects are discussed in this repository:
https://github.com/NISYSLAB/Emory-BMI-GSoC/discussions
Please be specific when you ask a question:
"Hi, I am X from Y. I need help to start applying for project Z" is unlikely to receive any useful reply. Because the project ideas are intentionally left brief to allow the interpretations from the contributors in their proposals. If you have specific questions (rather than "help me get started"), please feel free to ask at any time!
Happy coding! Looking forward to working with you soon.
Interested students: Please add your email to your post.
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