Program

You can find the program for the MLE Days 2023 below. For further information, click on the respective events or sessions. You can find a detailled description of the venue at the Venue Page. Some sessions have a limited number of participants. Be sure to arrive on time to secure your spot.

Monday, 25.09.2023

08:00
Registration & Networking
10:00
Coffee Break & Networking, Division into the Individual Sessions
10:30
Session 1
Session 1

Foundations

An Introduction to Fundamental Algorithms for Machine Learning

Prof. Matthias Mnich (TUHH)

Room: Audimax I

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Use Case

Towards Predictive Maintenance for the Optical Synchronization System at the European XFEL

Prof. Marina Tropmann-Frick (HAW),
Arne Grünhagen (HAW)

Room: H 0.01 + 0.02

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Use Case

Application of Machine Learning in Electric Power Systems

Dr. Davood Babazadeh (TUHH),
Simon Stock (TUHH),
Florian Strobel (TUHH),
Finn Nußbaum (TUHH)

Room: H 0.07

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12:00
Lunch & Networking
12:45
Elevator Pitches

All Registered Participants

Audimax I

13:30
Session 2
Session 2

Foundations

Introduction to the Stochastic Gradient Descent

Prof. Nihat Ay (TUHH)

Room: Audimax I

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Hands On

Part I

Introduction to Artificial Neural Networks: Classifying Handwritten Numbers using Python and Tensorflow/Keras

Prof. Robert Meißner (TUHH)

Room: H 0.01 + 0.02

Requires own laptop with Google Account, Read instructions beforehand


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Use Case

Application and Chances of Machine Learning Methods in the Electromagnetic Compatibility

Morten Schierholz (TUHH)

Room: H 0.07

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15:00
Coffee Break & Networking
15:30
Session 3
Session 3

Hands On

TorchPhysics - A deep learning library for solving differential equations

Tom Freudenberg (University of Bremen),
Janek Gödeke
(University of Bremen)

Room: H 0.07

Max. 40 participants, Requires own laptop with Google Account

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Hands On

Part II

Introduction to Artificial Neural Networks: Classifying Handwritten Numbers using Python and Tensorflow/Keras

Prof. Robert Meißner (TUHH)

Room: H 0.01 + 0.02

Requires own laptop with Google Account, Read instructions beforehand


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Use Case

Models of Cyber-Physical Systems and the Detection of Anomalies

Prof. Görschwin Fey (TUHH),
Swantje Plambeck, M. Sc. (TUHH),
Gianluca Martino, M. Sc. (TUHH)

Room: Audimax I

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17:00
Closing & Get Together in the Foyer

Tuesday, 26.09.2023

08:30
Start of Day 2 & Networking
10:00
Coffee Break & Networking, Division into the Individual Sessions
10:30
Session 4
Session 4

Hands On

Part I

Implementation of Neural Networks on Resource-Constrained Microcontrollers for Sensor Applications

Dr. Marcus Venzke (TUHH)

Room: H 0.07, Max. 12 participants, Requires own laptop

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Use Case

Machine Learning in Materials Science

Dr. Tilmann Hickel (BAM),
Dr. Sam Hall (HZB),
Dr. Tak Wong (HEREON)

Room: Audimax I

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Use Case

Machine Learning for Radar Applications

Prof. Markus Gardill (BTU Cottbus)

Room: H 0.01 + 0.02

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12:00
Lunch & Networking
12:45
Poster-Session

All Registered Participants

Foyer

13:30
Session 5
Session 5

Hands On

Part II

Implementation of Neural Networks on Resource-Constrained Microcontrollers for Sensor Applications

Dr. Marcus Venzke (TUHH)

Room: H 0.07

Max. 12 participants, Requires own laptop

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Use Case

Machine Learning Applications in Accelerator Operations

Prof. Annika Eichler (TUHH, DESY)

Room: Audimax I

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Hands On

Efficient Uncertainty Quantification with Surrogate Models

Prof. Benedikt Kriegesmann (TUHH)

Room: H 0.01 + 0.02

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15:00
Coffee Break & Networking
15:30
Session 6
Session 6

Hands On

Machine Learning for Signal Processing

Dr. Franziska Albers (Mathworks)

Room: H 0.07

Max. 20 participants, Requires own laptop with MathWorks account

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Use Case

Machine Learning in Maritime Logistics

Marvin Kastner (TUHH),
Mert Yildiz (CML),
Paul Koch (CML),
Stephan Krüger (TUHH)

Room: H 0.01 + 0.02

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Use Case

Machine Learning and Artificial Intelligence in Aviation

Prof. Ralf God (TUHH),
Prof. Benedikt Kriegesmann(TUHH),
Karine Candau (Airbus),
Christian Konrad (THALES),
Hartmut Hintze (Airbus)

Room: Audimax I

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17:00
Career Event: Meet & Talk AI with Fellows and Companies

Career Event with our Partners

Audimax

19:00
End of Day 2

Wednesday, 27.09.2023

08:30
Start of Day 3 & Networking
09:00
Opening from MLE and AI.STARTUP.HUB

Audimax I

09:15
Robotics & AI

Audimax I

Ecoterrabot: A robot that destroys weeds.
Excagol: A robot that finds veins and draws blood.

10:00
No Robotics & AI

Audimax I

HIVESOUND – MONITOR YOUR BEES WITH AI
q·ops – AI deployment made simple
Cybersec – Prevent cyber attacks with AI and quantum computing
CO2OPT – Up to 10% savings in fuel costs & CO2emissions
Shaanty: Treating depression and burnout through AI

10:45
Coffee Break & Networking in Forum
11:15
Why founding is just awesome

Audimax I

Founders' report on the most emotional moments and reports from the Startup Port.

12:00
How I build a startup

Audimax I

From a problem to an exponentially scalable product.

12:45
Lunch & Networking
13:30
Challenges
Challenges

The best AI model for my problem - technical and ethical aspects

Room: H 0.01 + 0.02

We disrupt Amazon and Otto

Room: H 0.03

With online marketing to the top

Room: H 0.07

Intro to generative AI

Room: Audimax I

15:00
Pitch Jam: The wildest pitch event of the century

Audimax I

Participants pitch their idea, Startups pitch positions, Startups pitch challenges.
Professors pitch research gaps, Corporates pitch problems, You pitch what you want.

Award session for the best pitch at the end

16:30
How do we want to change the world with AI

Audimax I

17:00

Closing & Get Together in the Foyer

End of the 2023 MLE Days