Sumam Francis Email & Phone Number | I am Sumam Francis doing research in the field of natural language processing and human-computer interaction, Conversational models, Clinical Concept extraction, Sequence Labeling and Classification of a wide variety of invoice collection, Information Retrieval and Extraction, Transfer Learning and Modular Neural Networks and pretraining Language models. My research focuses on learning with limited annotated data and transferring acquired knowledge across diverse domains and languages. In this setting, my work mainly focuses on information extraction within clinical, biomedical, and financial contexts. To address the challenge of limited annotated data within these domains, I employ efficient pretraining, transfer learning, and augmentation strategies. Additionally, the thesis explores federated learning to ensure privacy in learning processes, which holds particular significance in fields like medicine. I completed a master's in Computer Science specializing in Intelligent systems from TU Kaiserslautern-Germany. I have done my Master's Thesis at the German research center for Artificial Intelligence (DFKI) in Document and Content Analysis under the Knowledge Management group. I worked as a research assistant at DFKI for 10 months. The topics of research included data mining, time series data analysis and visualization, and correlation analysis. My master project was using deep learning[caffe] for content-based image retrieval using different deep learning architectures like Alexnet, Googlenet, and VGGnet. My area of interest lies in Natural Language Processing, Clinical Concept extraction, deep generative models, conversational models, and information retrieval and extraction.

Sumam Francis

I am Sumam Francis doing research in the field of natural language processing and human-computer int...
Leuven, Leuven, Belgium

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Sumam Francis’s Email sumam.francis@kuleuven.be

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Sumam Francis’s Location Leuven, Leuven, Belgium

Sumam Francis’s Current Industry Ku Leuven

Sumam Francis’s Prior Industry Dfki

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Work Experience

Ku Leuven

Phd Researcher

2020-08-01 00:00:00 - Present

Dfki

Research Assistant

2016-03-01 00:00:00 - 2017-01-01 00:00:00

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FAQ About Sumam Francis

Sumam Francis is located at
Leuven, Leuven, Belgium

Sumam Francis is a I am Sumam Francis doing research in the field of natural language processing and human-computer interaction, Conversational models, Clinical Concept extraction, Sequence Labeling and Classification of a wide variety of invoice collection, Information Retrieval and Extraction, Transfer Learning and Modular Neural Networks and pretraining Language models. My research focuses on learning with limited annotated data and transferring acquired knowledge across diverse domains and languages. In this setting, my work mainly focuses on information extraction within clinical, biomedical, and financial contexts. To address the challenge of limited annotated data within these domains, I employ efficient pretraining, transfer learning, and augmentation strategies. Additionally, the thesis explores federated learning to ensure privacy in learning processes, which holds particular significance in fields like medicine. I completed a master's in Computer Science specializing in Intelligent systems from TU Kaiserslautern-Germany. I have done my Master's Thesis at the German research center for Artificial Intelligence (DFKI) in Document and Content Analysis under the Knowledge Management group. I worked as a research assistant at DFKI for 10 months. The topics of research included data mining, time series data analysis and visualization, and correlation analysis. My master project was using deep learning[caffe] for content-based image retrieval using different deep learning architectures like Alexnet, Googlenet, and VGGnet. My area of interest lies in Natural Language Processing, Clinical Concept extraction, deep generative models, conversational models, and information retrieval and extraction.