Manoel Horta RibeiroI'm a first year PhD student at EPFL🇨🇭 working at dlab with Bob West. I'm also a member of iDrama🎭. My research focuses on the dynamics of content creation and consumption in Social Networks and Fringe Communities I received my B.S./M.S. in Computer Science from UFMG🇧🇷, where I worked with Wagner Meira Jr. and Virgílio Almeida.
The research I've been involved with has been published in venues such as: the Web Conference (WWW), the AAAI International Conf. on Weblogs and Social Media (ICWSM), the ACM Conf. on Fairness, Accountability, and Transparency (FAccT), and Nature Communications. Also, it has received substantial media attention, getting covered by WIRED, MIT Tech Review, NBC, and others.
Lazar MilikicExpertise
LLMs (Large Language Models), NLP (Natural Language Processing), Automated Reasoning
Mission
My work focuses on developing robust methods for autoformalization and automated theorem proving using large language models. I aim to enhance the reasoning reliability of modern AI systems by reducing hallucinations, improving predictability, and integrating formal verification techniques and tools into LLM-based pipelines.
Before joining EDIC, I completed a Bachelor’s in Mathematics and Computer Science
Ali H. SayedAli H. Sayed est doyen de la Faculté des sciences et techniques de l’ingénieur (STI) de l'EPFL, en Suisse, où il dirige également le laboratoire de systèmes adaptatifs. Il a également été professeur émérite et président du département d'ingénierie électrique de l'UCLA. Il est reconnu comme un chercheur hautement cité et est membre de la US National Academy of Engineering. Il est également membre de l'Académie mondiale des sciences et a été président de l'IEEE Signal Processing Society en 2018 et 2019.
Le professeur Sayed est auteur et co-auteur de plus de 570 publications et de six monographies. Ses recherches portent sur plusieurs domaines, dont les théories d'adaptation et d'apprentissage, les sciences des données et des réseaux, l'inférence statistique et les systèmes multi-agents, entre autres.
Ses travaux ont été récompensés par plusieurs prix importants, notamment le prix Fourier de l'IEEE (2022), le prix de la société Norbert Wiener (2020) et le prix de l'éducation (2015) de la société de traitement des signaux de l'IEEE, le prix Papoulis (2014) de l'Association européenne de traitement des signaux, le Meritorious Service Award (2013) et le prix de la réalisation technique (2012) de la société de traitement des signaux de l'IEEE, le prix Terman (2005) de la société américaine de formation des ingénieurs, le prix de conférencier émérite (2005) de la société de traitement des signaux de l'IEEE, le prix Koweït (2003) et le prix Donald G. Fink (1996) de l'IEEE. Ses publications ont été récompensées par plusieurs prix du meilleur article de l'IEEE (2002, 2005, 2012, 2014) et de l'EURASIP (2015). Pour finir, Ali H. Sayed est aussi membre de l'IEEE, d'EURASIP et de l'American Association for the Advancement of Science (AAAS), l'éditeur de la revue Science.
Tanja Christina Käser JacoberTanja Käser is an assistant professor at the EPFL School of Computer and Communication Sciences (IC) and head of the D-VET laboratory. Her research lies at the intersection of machine learning, data mining, and education. She is particularly interested in creating accurate models of human behavior and learning.Prior to joining EPFL, Tanja Käser was a senior data scientist with the Swiss Data Science Center at ETH Zurich. Before that, she was a postdoctoral researcher with the AAALab at the Graduate School of Education of Stanford University.
Tanja Käser received her PhD degree from the Computer Science Department of ETH Zurich. In her dissertation, completed at the Computer Graphics Laboratory, she focused on user modeling and data mining in education, which was honored with the Fritz Kutter Award 2015.
Akhil AroraExpertise
Machine LearningNLPData ScienceSocial and Information NetworksCausal Inference
Current work
My research aims to model user behavior in real-world Web-scale systems: drawing insights about how users browse the Web, seek knowledge, influence others, and get influenced by others to name a few. Specifically, my focus is towards devising machine learning and data mining methods for real-world Web-scale data that manifests itself in the form of graphs or text.
Akhil Arora is a PhD student advised by Pro
Negar KiyavashEnseignement et PhD Doctorant·es actuel·les Mohammad Shahverdikondori, Badri Mohammad Reza, Arefe Boushehrian, Sepehr Elahi, Mohammadsadegh Khorasani, Mohammadsaeed Masiha, Amir Mohammad Aboueimehrizi A dirigé les thèses EPFL de Sina Akbari, Ehsan Mokhtarian, Yaroslav Kivva, Fateme Jamshidi Cours Causal inference MGT-416 Les étudiants apprendront les concepts et techniques de base de l'analyse de réseau en mettant l'accent sur l'inférence causale. Théorie et l'application sera équilibrée,
Erick Jorge Canales RodriguezExpertise
My research interests lie at the intersection between physics, mathematical modelling, computer science, and neuroscience. My research contributions focus on developing novel techniques to study the brain tissues using different Magnetic Resonance Imaging (MRI) modalities and applying these computational methods to brain imaging data to study various brain disorders.
Expertise
My research interests lie at the intersection between physics, mathematical modelling, computer science, and neuroscience.
