Jan Meissner

Year: 2022

Description: Calm down in this small and relaxing exploration-based collect-a-thon. Collect food, feed monsters and bring them back to your home.

Context: GameDevWeek 2022.2

Contribution:

• Project Lead
• Solo Unreal Engine Developer
• Level Design
• Monster AI Behavior

Technologies: Unreal Engine 5.0 - C++

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German gameplay presentation presented by me:

Year: 2022

Description: In your last life you were a feared supervillain, but now you got reincarnated as a ... gooey disease ball. Use your abilities to roll and shoot yourself to infect people to start your reign of chaos once again.

Context: GameDevWeek 2022.1

Contribution:

• Project Lead
• Design and implementation of main gameplay loop
• Implementation of UI systems and main menu
• Unity Shadergraph based effects (gooey slim, "invisible" walls)

Technologies: C#

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German gameplay presentation presented by me:

Year: 2021

Description: Your campfire has gone out, but luckily you managed to find a burning tree. Your problem: This tree is on the other end of the forest. Try to control the spread of the fire towards your campfire without burning down the whole forest.

Context: Ubisoft Berlin Game Jam 2021

Contribution:

• Development of visual effects using Unity Particle Systems (fire, wind)
• Design of main gameplay loop
• Level Design of one level

Technologies: C#

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Year: 2021

Description: Explore a dangerous deserted enviroment in this Metroidvania-inspired 2D plattformer.

Context: GameDevWeek 2021.2

Contribution:

• Lead of an interdisciplinary developer team of 7 people
• Implementation of 2D platformer mechanics including walljumps & abilities
• Supporting first time game developers using Unity

Technologies: C#

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Year: 2021

Description: Implementation of a Bloom effect in OpenGL.

Context: Module "Advanced Game Technology"

• Implementation of modern bloom effect
• Shader development using only OpenGL language features

Technologies: C++ OpenGL

Year: 2021

Description:Using Machine Learning to classify audio samples as one of 10 command classes.

Context: Module "Machine Learning"

• Development of a machine learning model using Tensorflow
• Writing a paper fulfilling scientific standards

Technologies: Tensorflow

Year: 2021

Description: Implementation of Helbig's Social Force model using Nvidia CUDA for improved performance.

Context: Module "High Performance Computing"

• Implementation of a parallelizable crowd simulation
• Usage of CUDA for increased performance compared to CPU parallelization

Technologies: C++ & Nvidia CUDA

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