Marcus Fechner: Unterschied zwischen den Versionen

Aktuelle Version vom 7. November 2023, 08:09 Uhr

M.Sc. Marcus Fechner
Doktorand
Tel.:+4972160845937
Email: marcus fechner∂kit edu
Raum: 3A-05.1 (Geb. 05.20)

Forschungsgruppe: Angewandte Technisch-Kognitive Systeme
vCard

Hey there! 👋

I'm a Ph.D. candidate in the research group led by Prof. Zöllner. As a teaching assistant in „Machine Learning 1 - Fundamentals“ and „Machine Learning 2 - Advanced Methods“, I aim to introduce my students to the world of machine learning, covering both the basics and advanced techniques.

My research focus is on creating generally capable autonomous agents, which necessitates a symphony of foundation models, large-scale systems, robotics, and a wealth of data. I'm particularly interested in how these agents can master a myriad of tasks by simply watching web-scale video data, like the treasure trove of knowledge hidden in YouTube videos.

But that's not all; I'm also involved in the SofDCar project, working on perception systems for autonomous vehicles, which are designed to handle uncertainty and recognize uncharted territories.

If you're interested in this field and would like to discuss potential Hiwi positions or thesis projects, please feel free to reach out. I'm open to collaborations and exciting opportunities.

🚀🤖📚 #MachineLearning #AutonomousAgents #AutonomousDriving #FoundationModels #ImitationLearning #Uncertainty #LargeScale #Robotics

Open Positions 👩‍🔬👨‍🔬

Publikationen

Vorträge

Abschlussarbeiten

Aktive Projekte

SofDCar
Externer Link: https://www.sofdcar.de

Forschungsgebiete

Maschinelles Lernen, Deep Learning, Künstliche Intelligenz

KIT Funktionen und Kompetenzfelder

Algorithm, Software and System Engineering
Cognition and Information Engineering
Mobile Systems and Mobility Engineering

@@ Zeile 10: / Zeile 10: @@
 |Email=marcus.fechner@kit.edu
 |Raum=3A-05.1
-|Bild=profile.jpg
+|Bild=profile2.jpg
-|Info=Hey there! 👋
+|Info=<br><br>
+Hey there! 👋
 <br><br>
-I'm  a Ph.D. candidate in the research group led by Prof. Zöllner. As a teaching assistant in „Machine Learning 1 - Fundamentals“ and „Machine Learning 2 - Advanced Methods“, I try to show my students the manifold world of machine learning, delving into both fundamentals and advanced methods.
+I'm a Ph.D. candidate in the research group led by Prof. Zöllner. As a teaching assistant in „Machine Learning 1 - Fundamentals“ and „Machine Learning 2 - Advanced Methods“, I aim to introduce my students to the world of machine learning, covering both the basics and advanced techniques.
 <br><br>
-My research playground is nothing short of fascinating. I'm captivated by the idea of creating generally capable autonomous agents, a quest that necessitates a symphony of foundation models, large-scale systems, robotics, and a wealth of data. I'm particularly focused on unraveling the mystery of how these agents can master a myriad of tasks by simply watching web-scale video data, like the treasure trove of knowledge hidden in YouTube videos.
+My research focus is on creating generally capable autonomous agents, which necessitates a symphony of foundation models, large-scale systems, robotics, and a wealth of data. I'm particularly interested in how these agents can master a myriad of tasks by simply watching web-scale video data, like the treasure trove of knowledge hidden in YouTube videos.
 <br><br>
-But that's not all; I'm also involved in the SofDCar project. Here, I'm working on perception systems for autonomous vehicles, systems that possess the remarkable ability to detect when they venture into uncharted territory or face distribution shifts by embracing uncertainty.
+But that's not all; I'm also involved in the SofDCar project, working on perception systems for autonomous vehicles, which are designed to handle uncertainty and recognize uncharted territories.
 <br><br>
-If you share my enthusiasm for this ever-evolving field and you're keen to explore opportunities to collaborate, don't hesitate to reach out. I'm open to discussions about potential Hiwi positions and exciting open thesis projects.
+If you're interested in this field and would like to discuss potential Hiwi positions or thesis projects, please feel free to reach out. I'm open to collaborations and exciting opportunities.
 <br><br>
 🚀🤖📚 #MachineLearning #AutonomousAgents #AutonomousDriving #FoundationModels #ImitationLearning #Uncertainty #LargeScale #Robotics
-|Info EN=Hey there! 👋
 <br><br>
-I'm  a Ph.D. candidate in the research group led by Prof. Zöllner. As a teaching assistant in „Machine Learning 1 - Fundamentals“ and „Machine Learning 2 - Advanced Methods“, I try to show my students the manifold world of machine learning, delving into both fundamentals and advanced methods.
+=== Open Positions 👩‍🔬👨‍🔬===
+<ul>
+<li>[https://aifb.kit.edu/web/Stellenausschreibung208 Student Research Assistant Position in Generally Capable Autonomous Agents from Web-Scale Video Data]</li>
+<li>[https://aifb.kit.edu/web/Stellenausschreibung209 Student Research Assistant Position in Object Detection with Uncertainty to Tackle Shifted and Out-Of-Distribution Data]</li>
+</ul>
+|Info EN=<br><br>
+Hey there! 👋
 <br><br>
-My research playground is nothing short of fascinating. I'm captivated by the idea of creating generally capable autonomous agents, a quest that necessitates a symphony of foundation models, large-scale systems, robotics, and a wealth of data. I'm particularly focused on unraveling the mystery of how these agents can master a myriad of tasks by simply watching web-scale video data, like the treasure trove of knowledge hidden in YouTube videos.
+I'm a Ph.D. candidate in the research group led by Prof. Zöllner. As a teaching assistant in „Machine Learning 1 - Fundamentals“ and „Machine Learning 2 - Advanced Methods“, I aim to introduce my students to the world of machine learning, covering both the basics and advanced techniques.
 <br><br>
-But that's not all; I'm also involved in the SofDCar project. Here, I'm working on perception systems for autonomous vehicles, systems that possess the remarkable ability to detect when they venture into uncharted territory or face distribution shifts by embracing uncertainty.
+My research focus is on creating generally capable autonomous agents, which necessitates a symphony of foundation models, large-scale systems, robotics, and a wealth of data. I'm particularly interested in how these agents can master a myriad of tasks by simply watching web-scale video data, like the treasure trove of knowledge hidden in YouTube videos.
 <br><br>
-If you share my enthusiasm for this ever-evolving field and you're keen to explore opportunities to collaborate, don't hesitate to reach out. I'm open to discussions about potential Hiwi positions and exciting open thesis projects.
+But that's not all; I'm also involved in the SofDCar project, working on perception systems for autonomous vehicles, which are designed to handle uncertainty and recognize uncharted territories.
+<br><br>
+If you're interested in this field and would like to discuss potential Hiwi positions or thesis projects, please feel free to reach out. I'm open to collaborations and exciting opportunities.
 <br><br>
 🚀🤖📚 #MachineLearning #AutonomousAgents #AutonomousDriving #FoundationModels #ImitationLearning #Uncertainty #LargeScale #Robotics
+<br><br>
+=== Open Positions 👩‍🔬👨‍🔬===
+<ul>
+<li>[https://aifb.kit.edu/web/Stellenausschreibung208 Student Research Assistant Position in Generally Capable Autonomous Agents from Web-Scale Video Data]</li>
+<li>[https://aifb.kit.edu/web/Stellenausschreibung209 Student Research Assistant Position in Object Detection with Uncertainty to Tackle Shifted and Out-Of-Distribution Data]</li>
+</ul>
 |KIT Kompetenzfeld1=Algorithm, Software and System Engineering
 |KIT Kompetenzfeld2=Cognition and Information Engineering

Marcus Fechner: Unterschied zwischen den Versionen

Aktuelle Version vom 7. November 2023, 08:09 Uhr

M.Sc. Marcus Fechner

Open Positions 👩‍🔬👨‍🔬