
Jayasankar Santhosh
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Jayasankar Santhosh
- Bis heute 5 Jahre und 7 Monate, seit Nov. 2019
AI and Data Science Researcher | PhD Candidate
DFKI GmbH
A passionate PhD researcher in educational technology, specializing in Deep Learning and sensor-based analytics to enhance learning experiences. Expertise in AI and Machine Learning is applied to develop adaptive learning systems powered by Generative AI, dynamically responding to real-time data to optimize educational environments and drive personalized learning. Collaborated with interdisciplinary teams to design and implement AI systems addressing real-world challenges in learning environments.
- 7 Monate, Sep. 2022 - März 2023
Research and Teaching Assistant
RPTU Kaiserslautern-Landau
- Teaching Assistant for Neurocognitive computing lecture in RPTU Kaiserslauten-Landau - Neurocognitive Computing explores how humans and computers process information, bridging gap between computer science and neuroscience. - Assisted and delivered lectures to Master’s students focusing on state-of-the-art techniques for detecting and analyzing and cognitive states using machine learning and AI. - Designed hands-on tasks enabling students to apply machine learning models to analyze datasets.
- 1 Jahr und 9 Monate, Juli 2017 - März 2019
Research Assistant
Deutsches Forschungszentrum für Künstliche Intelligenz
- Research on document analysis by integrating text and sensor data using Machine Learning and Deep Learning. - Data collection, Data cleaning, Exploratory data analysis, Time series analysis, Statistical analysis, Data modelling, Feature engineering, Data visualization, Data optimization. - Classification, Regression, Dimensionality reduction, Anomaly detection, Clustering.
- 7 Monate, Juli 2018 - Jan. 2019
Master Thesis Student
Deutsches Forschungszentrum für Künstliche Intelligenz
- Generating Artificial Eye Movements over document to determine the reading difficulty of documents. - Data set creation and analysis by conducting experiments. - Predicting Readability of Unknown Documents using Machine Learning - Text processing for efficient feature extraction using Natural Language Processing (NLP). - Sensor data features Integration with text features for personalized readability measurement of documents
Ausbildung von Jayasankar Santhosh
- 2016 - 2018
Master
Technische Universität Kaiserslautern
- 3 Jahre und 3 Monate, Nov. 2015 - Jan. 2019
Computer Science
TU Kaiserslautern
Intelligent Systems, Software Sytems, Visualization, Deep Learning, Machine Learning, Embedded Intelligence
- 3 Jahre und 10 Monate, Aug. 2010 - Mai 2014
Computer Science
Mahatma Gandhi University
Neural Networks, Unix Shell programming, Distributed Computing, Algorithms deduction
Sprachen
Englisch
Fließend
Deutsch
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