Im folgenden finden Sie alle offenen studentischen Arbeiten unseres Lehrstuhls. Wir bieten Masterarbeiten, Bachelorarbeiten, Forschungspraxis, Ingeneurpraxis und interdisziplinäre Projekte an. Falls für Sie keine passende Arbeit angeboten wird, kontaktieren Sie bitte einen wissenschaftlichen Mitarbeiter. Über die Forschungsgebiete unseres Lehrstuhls können Sie sich unter Forschung informieren. Außerdem bieten wir Seminararbeiten in VLSI-Entwurfsverfahren (WS/SS) und EDA (WS) an.

Bachelorarbeiten

Optical Circuits Simulation and Optimization

Stichworte:
optical circuits, software simulation
Kurzbeschreibung:
We want to use a simulation tool to evaluate typical optical circuits and optimize their system performance.

Beschreibung

Optical networks-on-chips (ONoCs) emerge as a next-generation solution to keep up with the ever-increasing on-chip communication in multiprocessor system-on-chip. Taking advantage of the wavelength-division multiplexing (WDM) technology and the ultra-low propagation delay of light in silicon, ONoCs promise to offer much higher bandwidth with much lower latency compared to conventional electronic NoCs.

 

To date, several efficient circuits have been proposed. However, their performance still needs to be simulated and evaluated in a practical environment. 

 

This project includes:

  • Using a powerful simulator (See the introduction: https://www.synopsys.com/photonic-solutions/optocompiler/optsim-photonic-ic.html) to test several typical optical circuits, such as λ-router and Light.
  • Comparing the simulation results to their theoretical results.
  • Proposing a method/design to optimize the performance factors, such as power and signal-to-noise ratio.

Voraussetzungen

  • Knowledge and experience in using software simulation tools
  • Basic understanding of optical circuits or the willingness to learn them
  • Solution-oriented thinking

Kontakt

If you are interested in this topic, please send your current transcript along with your CV and a short motivation to one of the supervisors' email:

zhidan.zheng@tum.de

Betreuer:

Zhidan Zheng

Online Microfluidics Programming and Simulation Platform

Stichworte:
Microfluidics, Lab-On-Chip, Programming
Kurzbeschreibung:
We want to introduce an interactive but intuitive programming platform for microfluidic researchers that do not require any pre-experience with programming.

Beschreibung

Microfluidic Large Scale Integration (mLSI) refers to the development of microfluidic chips with thousands of integrated micromechanical valves and control components. This technology is used in many areas of biology and chemistry and is a candidate for replacing today's conventional automation paradigm, which consists of Robots for handling liquids.

 

To enable automated control of mLSI, programming sequence for valve control and fluid inputs is essential. Although, not every researcher, especially biologists or chemists, has programming skills. We want to introduce an interactive but intuitive programming platform for microfluidic researchers that do not require any pre-experience with programming to overcome this problem.

 

This platform provides a visual programming language that allows users to define their needs by dragging and dropping the command blocks into a canvas. A flow simulation will show up on the side when users click on the run. 

Voraussetzungen

  • Knowledge and experience in web design and web development
  • Good understanding of HTML5, CSS, JavaScript and PHP (or Java Spring Boot) or the wiliness to learn them
  • Basic knowledge of SQL, jQuery and Vue.js (or other frontend frameworks) or the cunning to know them
  • Solution-oriented thinking

 

Kontakt

If you are interested in this topic, please send your current transcript along with your CV and a short motivation to one of the supervisors' email:

Yushen.Zhang+Apply@cit.TUM.de

Betreuer:

Yushen Zhang

Masterarbeiten

Virtual Prototyping of a RISC-V Based SoC for IoT-ML Applications

Stichworte:
RISC-V, VP, IoT-ML, SystemC,

Beschreibung

During the development of modern embedded systems, designers frequently rely on abstract computer models of the targeted embedded hardware. These models are commonly referred to as virtual prototypes (VPs). Common use case of VPs are, for example, the analysis and validation of the embedded target software.

The ESP32-C3 is a system-on-chip (SoC) with a single RISC-V core. It supports both Bluetooth and WiFi connectivity, and is as such well-suited for so-called internet-of-things (IoT) applications using machine learning (ML), as for instance wake-word detection.

During this project, a VP of the ESP32-C3 shall be developted, in order to run and analyze an embedded program. This includes:

  • Modelling of required peripherals of the SoC (in C++/SystemC)
  • Generating a performance model of the used RISC-V processor
  • Establishing a framework to compare the developted VP with an actual ESP32-C3 chip

Voraussetzungen

This project requires:

  • A fundamental understanding of embedded systems, the functionality of processors and basic mircoarchitectural concepts
  • A solid understanding of object-oriented programming
  • Experience in programming C/C++ is required. 

Kontakt

If you are interested in the project or have further questions, please do not hesitate to contact me under conrad.foik@tum.de

Betreuer:

Conrad Foik

Automatic Categorization and Filtering of Research Data via Machine Learning Methods

Beschreibung

 

Analog circuit design, to this day, highly depends on expert knowledge. Similarly, efforts in analog design automation include the construction of databases of various sorts, such as analog building blocks, or entire netlists. Much of the necessary knowledge for cunstring such databases is either hidden within the analog designer’s mind, or by extension in published articles. With the recent success in language processing, an opportunity for automatic sighting and analysis of data arises. In this work, experiments with language models will be conducted, with the goal of building a database of articles treating a specific subject in analog design.

 

 

Betreuer:

Markus Leibl

Infinite-order crosstalk analysis for Wavelength-Routed Optical NoCs

Beschreibung

(all the details are in the PDF)

Betreuer:

Alexandre Truppel

Dual Module Redundancy Domain Crossing in Selective Software Implemented Hardware Fault Tolerance

Beschreibung

Software Implemented Hardware Fault Tolerance (SIHFT) aims to improve a digital systems resilience against hardware induced faults, e.g., soft errors due to radiation. One technique that can be deployed is Module Redudancy (MR), here, a computation is conducted from and in multiple hardware resources such that at a checkpoint can be established to verify the isolated results. In software, Dual Module Redundancy (DMR) can be implemented by splitting the architecture's register file and allocating each half to two independent computational threads each.
SIHFT always comes with a performance overhead. With DMR not only due to doubling the computation (>100%), but also because of increased register pressure. Thus, SIHFT is often deployed selectively to vulnerable code sections (Selective Hardening). Since DMR changes the register layout, it also changes an instruction set architecture's properties, e.g., its calling conventions. Mixing DMR and non-DMR code results in needed domain-crossing which are mostly placed at  function calls (coarse-grain).

Voraussetzungen

In this work, we want to study and implement a working solution for selectively applying DMR with fine-grain domain crossing (within functions) .

- very good C++
- good knowledge of at least one assembly language, prefereably RISC-V
- good compiler basics, preferably some experience with LLVM

Kontakt

(johannes.geier@tum.de)

Betreuer:

Johannes Geier

Performance Evaluation of a RISC-V CPU

Stichworte:
RISC-V, ISS, RTL, ESL, VP, ETISS, Performance, Embedded Systems

Beschreibung

This project is proposed and conducted in cooperation with MINRES Technologies.

RISC-V is an open-source instruction set architecture (ISA), which has recently gained a lot of interest in both academia and commercial contexts. One of the key features of the RISC-V architecture is its flexibility, which, for instance, allows chip designers to add custom instructions to support their specific use cases. Further, due to its open-source character, designers are free to implement their own, customized RISC-V microarchitecture.

To fully utilize the flexibility of RISC-V, different design choices should be explored, in order to find the best suited solution. Such a so-called design space exploration (DSE) typically relies on abstract models of the actual hardware, which can be quickly modified to cover different design choices. As high execution speed is frequently of major importance for a processor, accuratly depicting the processor's performance is one of the key requirements for this type of models.

During this project, abstract performance models shall be generated for an existing RISC-V CPU, developted by MINRES Technologies, in order to evaluate its performance. To achieve this, the student will:

  1. Integrate a tool-chain for performance modelling, developted at TUM, into the simulation environment of MINRES, in order to establish a common workflow.
  2. Use the established workflow to generate abstract performance models of an existing RISC-V CPU, developted by MINRES.
  3. Evaluate the accuracy of the generated models, by comparing their performance estimates with the actual performance of the CPU.

Voraussetzungen

 This project requires

  • A fundamental understanding of the functionality of processors and basic microarchitectural concepts
  • Solid experience in object-oriented programming.
  • Experience in programming with C++ and Python3 are a major benefit

Kontakt

If you are interested in the project or have further questions, please do not hesitate to contact me under conrad.foik@tum.de

Betreuer:

Conrad Foik - Rocco Jonack (MINRES Technologies)

Online Microfluidics Programming and Simulation Platform

Stichworte:
Microfluidics, Lab-On-Chip, Programming
Kurzbeschreibung:
We want to introduce an interactive but intuitive programming platform for microfluidic researchers that do not require any pre-experience with programming.

Beschreibung

Microfluidic Large Scale Integration (mLSI) refers to the development of microfluidic chips with thousands of integrated micromechanical valves and control components. This technology is used in many areas of biology and chemistry and is a candidate for replacing today's conventional automation paradigm, which consists of Robots for handling liquids.

 

To enable automated control of mLSI, programming sequence for valve control and fluid inputs is essential. Although, not every researcher, especially biologists or chemists, has programming skills. We want to introduce an interactive but intuitive programming platform for microfluidic researchers that do not require any pre-experience with programming to overcome this problem.

 

This platform provides a visual programming language that allows users to define their needs by dragging and dropping the command blocks into a canvas. A flow simulation will show up on the side when users click on the run. 

Voraussetzungen

  • Knowledge and experience in web design and web development
  • Good understanding of HTML5, CSS, JavaScript and PHP (or Java Spring Boot) or the wiliness to learn them
  • Basic knowledge of SQL, jQuery and Vue.js (or other frontend frameworks) or the cunning to know them
  • Solution-oriented thinking

 

Kontakt

If you are interested in this topic, please send your current transcript along with your CV and a short motivation to one of the supervisors' email:

Yushen.Zhang+Apply@cit.TUM.de

Betreuer:

Yushen Zhang

Interdisziplinäre Projekte

Startup Microsystems: Innovate, Create, Compete – COSIMA Challenge

Stichworte:
Microsystem, MEMS, Innovation, Creativity
Kurzbeschreibung:
This is a dynamic and hands-on internship designed to empower students to harness their creativity and technical skills to participate in the COSIMA (Competition of Students in Microsystems Applications) contest. This internship is not just an academic pursuit; it's a journey towards becoming an innovative entrepreneur in the realm of sensor and microsystem applications. At the end of this contest, you will be credited with the credits for FP/IP/IDP.

Beschreibung

Welcome to "Startup Microsystems: Innovate, Create, Compete – COSIMA Challenge," a dynamic and hands-on internship designed to empower students in harnessing their creativity and technical skills to participate in the COSIMA (Competition of Students in Microsystems Applications) contest. This internship is not just an academic pursuit; it's a journey towards becoming innovative entrepreneurs in the realm of sensor and microsystem applications.

 

Overview:

In this practical internship, students will delve into the world of microsystems, exploring their components, functionalities, and potential applications. The focus will be on fostering creativity and teamwork as students work collaboratively to conceive, design, and prototype innovative solutions using sensors and microsystems.

 

Key Features:

Creative Exploration: Unlike traditional courses and internships, this one offers the freedom to choose and define your own technical challenge. Students will be encouraged to think outside the box, identify real-world problems, and propose solutions that leverage microsystems to enhance human-technology interactions.

 

Hands-On Prototyping: The heart of the internship lies in turning ideas into reality. Students will actively engage in the prototyping process, developing functional prototypes of their innovative concepts. Emphasis will be placed on understanding the practical aspects of sensor integration, actuation, and control electronics.

 

COSIMA Contest Preparation: The internship will align with the COSIMA contest requirements, preparing students to present their prototypes on the competition day. Guidance will be provided on creating impactful presentations that showcase the ingenuity and practicality of their solutions.

 

Go International: The winners of COSIMA will qualify to take part in the international iCAN competition. Guidance and preparation for the iCAN will be provided.

 

Entrepreneurial Mindset: Drawing inspiration from successful startups that emerged from COSIMA, the internship will instill an entrepreneurial mindset. Students will learn about the essentials of founding a startup, from business planning to pitching their ideas.

 

Us in the past:

Das war COSIMA 2023 (cosima-mems.de)

iCAN Wettbewerb 2023 (cosima-mems.de)

Sieger 2022 (cosima-mems.de)

Voraussetzungen

Intermediate German and English language proficiency is required.

Kontakt

Betreuer:

Yushen Zhang

Enable Remote Execution of Benchmarks using the MLonMCU TinyML Deployment Tool

Stichworte:
MLonMCU, TinyML, Embedded Machine Learning, Benchmark, Python, Remote, Server
Kurzbeschreibung:
MLonMCU is an open source TinyML Benchmarking Flow maintained by our chair. While it was designed for batch processing to exploit parallelism during complex benchmarking sessions, the total execution time of a benchmark is limited by the amount out computational resources available on the local device. In this project you will design and implement a remote execution feature for MLonMCU which allows offloading individual benchmarking runs to a number of remote devices.

Beschreibung

The required steps can be described as follows:

  • Get used to the MLonMCU Benchmarking flow
  • Propose a concept for a remote execution of benchmarks
  • Implement remote execution protocol
  • Add more features to improve benchmarking throughput
  • Add detailed documentation

Voraussetzungen

  • Experience with networking protocols
  • Good Python programming
  • Ideally experience working with UNIX-like operating systems

Betreuer:

Philipp van Kempen

Online Microfluidics Programming and Simulation Platform

Stichworte:
Microfluidics, Lab-On-Chip, Programming
Kurzbeschreibung:
We want to introduce an interactive but intuitive programming platform for microfluidic researchers that do not require any pre-experience with programming.

Beschreibung

Microfluidic Large Scale Integration (mLSI) refers to the development of microfluidic chips with thousands of integrated micromechanical valves and control components. This technology is used in many areas of biology and chemistry and is a candidate for replacing today's conventional automation paradigm, which consists of Robots for handling liquids.

 

To enable automated control of mLSI, programming sequence for valve control and fluid inputs is essential. Although, not every researcher, especially biologists or chemists, has programming skills. We want to introduce an interactive but intuitive programming platform for microfluidic researchers that do not require any pre-experience with programming to overcome this problem.

 

This platform provides a visual programming language that allows users to define their needs by dragging and dropping the command blocks into a canvas. A flow simulation will show up on the side when users click on the run. 

Voraussetzungen

  • Knowledge and experience in web design and web development
  • Good understanding of HTML5, CSS, JavaScript and PHP (or Java Spring Boot) or the wiliness to learn them
  • Basic knowledge of SQL, jQuery and Vue.js (or other frontend frameworks) or the cunning to know them
  • Solution-oriented thinking

 

Kontakt

If you are interested in this topic, please send your current transcript along with your CV and a short motivation to one of the supervisors' email:

Yushen.Zhang+Apply@cit.TUM.de

Betreuer:

Yushen Zhang

Forschungspraxis (Research Internships)

Optical Circuits Simulation and Optimization

Stichworte:
optical circuits, software simulation
Kurzbeschreibung:
We want to use a simulation tool to evaluate typical optical circuits and optimize their system performance.

Beschreibung

Optical networks-on-chips (ONoCs) emerge as a next-generation solution to keep up with the ever-increasing on-chip communication in multiprocessor system-on-chip. Taking advantage of the wavelength-division multiplexing (WDM) technology and the ultra-low propagation delay of light in silicon, ONoCs promise to offer much higher bandwidth with much lower latency compared to conventional electronic NoCs.

 

To date, several efficient circuits have been proposed. However, their performance still needs to be simulated and evaluated in a practical environment. 

 

This project includes:

  • Using a powerful simulator (See the introduction: https://www.synopsys.com/photonic-solutions/optocompiler/optsim-photonic-ic.html) to test several typical optical circuits, such as λ-router and Light.
  • Comparing the simulation results to their theoretical results.
  • Proposing a method/design to optimize the performance factors, such as power and signal-to-noise ratio.

Voraussetzungen

  • Knowledge and experience in using software simulation tools
  • Basic understanding of optical circuits or the willingness to learn them
  • Solution-oriented thinking

Kontakt

If you are interested in this topic, please send your current transcript along with your CV and a short motivation to one of the supervisors' email:

zhidan.zheng@tum.de

Betreuer:

Zhidan Zheng

Virtual Prototyping of a RISC-V Based SoC for IoT-ML Applications

Stichworte:
RISC-V, VP, IoT-ML, SystemC,

Beschreibung

During the development of modern embedded systems, designers frequently rely on abstract computer models of the targeted embedded hardware. These models are commonly referred to as virtual prototypes (VPs). Common use case of VPs are, for example, the analysis and validation of the embedded target software.

The ESP32-C3 is a system-on-chip (SoC) with a single RISC-V core. It supports both Bluetooth and WiFi connectivity, and is as such well-suited for so-called internet-of-things (IoT) applications using machine learning (ML), as for instance wake-word detection.

During this project, a VP of the ESP32-C3 shall be developted, in order to run and analyze an embedded program. This includes:

  • Modelling of required peripherals of the SoC (in C++/SystemC)
  • Generating a performance model of the used RISC-V processor
  • Establishing a framework to compare the developted VP with an actual ESP32-C3 chip

Voraussetzungen

This project requires:

  • A fundamental understanding of embedded systems, the functionality of processors and basic mircoarchitectural concepts
  • A solid understanding of object-oriented programming
  • Experience in programming C/C++ is required. 

Kontakt

If you are interested in the project or have further questions, please do not hesitate to contact me under conrad.foik@tum.de

Betreuer:

Conrad Foik

Startup Microsystems: Innovate, Create, Compete – COSIMA Challenge

Stichworte:
Microsystem, MEMS, Innovation, Creativity
Kurzbeschreibung:
This is a dynamic and hands-on internship designed to empower students to harness their creativity and technical skills to participate in the COSIMA (Competition of Students in Microsystems Applications) contest. This internship is not just an academic pursuit; it's a journey towards becoming an innovative entrepreneur in the realm of sensor and microsystem applications. At the end of this contest, you will be credited with the credits for FP/IP/IDP.

Beschreibung

Welcome to "Startup Microsystems: Innovate, Create, Compete – COSIMA Challenge," a dynamic and hands-on internship designed to empower students in harnessing their creativity and technical skills to participate in the COSIMA (Competition of Students in Microsystems Applications) contest. This internship is not just an academic pursuit; it's a journey towards becoming innovative entrepreneurs in the realm of sensor and microsystem applications.

 

Overview:

In this practical internship, students will delve into the world of microsystems, exploring their components, functionalities, and potential applications. The focus will be on fostering creativity and teamwork as students work collaboratively to conceive, design, and prototype innovative solutions using sensors and microsystems.

 

Key Features:

Creative Exploration: Unlike traditional courses and internships, this one offers the freedom to choose and define your own technical challenge. Students will be encouraged to think outside the box, identify real-world problems, and propose solutions that leverage microsystems to enhance human-technology interactions.

 

Hands-On Prototyping: The heart of the internship lies in turning ideas into reality. Students will actively engage in the prototyping process, developing functional prototypes of their innovative concepts. Emphasis will be placed on understanding the practical aspects of sensor integration, actuation, and control electronics.

 

COSIMA Contest Preparation: The internship will align with the COSIMA contest requirements, preparing students to present their prototypes on the competition day. Guidance will be provided on creating impactful presentations that showcase the ingenuity and practicality of their solutions.

 

Go International: The winners of COSIMA will qualify to take part in the international iCAN competition. Guidance and preparation for the iCAN will be provided.

 

Entrepreneurial Mindset: Drawing inspiration from successful startups that emerged from COSIMA, the internship will instill an entrepreneurial mindset. Students will learn about the essentials of founding a startup, from business planning to pitching their ideas.

 

Us in the past:

Das war COSIMA 2023 (cosima-mems.de)

iCAN Wettbewerb 2023 (cosima-mems.de)

Sieger 2022 (cosima-mems.de)

Voraussetzungen

Intermediate German and English language proficiency is required.

Kontakt

Betreuer:

Yushen Zhang

Praktikant (m/w/d) Forschung & Entwicklung - Sensorik Kettenüberwachung

Beschreibung

Siehe beigefügten Aushang.

 

Kontakt

Claudia.Hahn@iwis.com

Betreuer:

Helmut Gräb - Claudia Hahn (iwis antriebssysteme GmbH & Co. KG in München)

Enable Remote Execution of Benchmarks using the MLonMCU TinyML Deployment Tool

Stichworte:
MLonMCU, TinyML, Embedded Machine Learning, Benchmark, Python, Remote, Server
Kurzbeschreibung:
MLonMCU is an open source TinyML Benchmarking Flow maintained by our chair. While it was designed for batch processing to exploit parallelism during complex benchmarking sessions, the total execution time of a benchmark is limited by the amount out computational resources available on the local device. In this project you will design and implement a remote execution feature for MLonMCU which allows offloading individual benchmarking runs to a number of remote devices.

Beschreibung

The required steps can be described as follows:

  • Get used to the MLonMCU Benchmarking flow
  • Propose a concept for a remote execution of benchmarks
  • Implement remote execution protocol
  • Add more features to improve benchmarking throughput
  • Add detailed documentation

Voraussetzungen

  • Experience with networking protocols
  • Good Python programming
  • Ideally experience working with UNIX-like operating systems

Betreuer:

Philipp van Kempen

Performance Evaluation of a RISC-V CPU

Stichworte:
RISC-V, ISS, RTL, ESL, VP, ETISS, Performance, Embedded Systems

Beschreibung

This project is proposed and conducted in cooperation with MINRES Technologies.

RISC-V is an open-source instruction set architecture (ISA), which has recently gained a lot of interest in both academia and commercial contexts. One of the key features of the RISC-V architecture is its flexibility, which, for instance, allows chip designers to add custom instructions to support their specific use cases. Further, due to its open-source character, designers are free to implement their own, customized RISC-V microarchitecture.

To fully utilize the flexibility of RISC-V, different design choices should be explored, in order to find the best suited solution. Such a so-called design space exploration (DSE) typically relies on abstract models of the actual hardware, which can be quickly modified to cover different design choices. As high execution speed is frequently of major importance for a processor, accuratly depicting the processor's performance is one of the key requirements for this type of models.

During this project, abstract performance models shall be generated for an existing RISC-V CPU, developted by MINRES Technologies, in order to evaluate its performance. To achieve this, the student will:

  1. Integrate a tool-chain for performance modelling, developted at TUM, into the simulation environment of MINRES, in order to establish a common workflow.
  2. Use the established workflow to generate abstract performance models of an existing RISC-V CPU, developted by MINRES.
  3. Evaluate the accuracy of the generated models, by comparing their performance estimates with the actual performance of the CPU.

Voraussetzungen

 This project requires

  • A fundamental understanding of the functionality of processors and basic microarchitectural concepts
  • Solid experience in object-oriented programming.
  • Experience in programming with C++ and Python3 are a major benefit

Kontakt

If you are interested in the project or have further questions, please do not hesitate to contact me under conrad.foik@tum.de

Betreuer:

Conrad Foik - Rocco Jonack (MINRES Technologies)

Online Microfluidics Programming and Simulation Platform

Stichworte:
Microfluidics, Lab-On-Chip, Programming
Kurzbeschreibung:
We want to introduce an interactive but intuitive programming platform for microfluidic researchers that do not require any pre-experience with programming.

Beschreibung

Microfluidic Large Scale Integration (mLSI) refers to the development of microfluidic chips with thousands of integrated micromechanical valves and control components. This technology is used in many areas of biology and chemistry and is a candidate for replacing today's conventional automation paradigm, which consists of Robots for handling liquids.

 

To enable automated control of mLSI, programming sequence for valve control and fluid inputs is essential. Although, not every researcher, especially biologists or chemists, has programming skills. We want to introduce an interactive but intuitive programming platform for microfluidic researchers that do not require any pre-experience with programming to overcome this problem.

 

This platform provides a visual programming language that allows users to define their needs by dragging and dropping the command blocks into a canvas. A flow simulation will show up on the side when users click on the run. 

Voraussetzungen

  • Knowledge and experience in web design and web development
  • Good understanding of HTML5, CSS, JavaScript and PHP (or Java Spring Boot) or the wiliness to learn them
  • Basic knowledge of SQL, jQuery and Vue.js (or other frontend frameworks) or the cunning to know them
  • Solution-oriented thinking

 

Kontakt

If you are interested in this topic, please send your current transcript along with your CV and a short motivation to one of the supervisors' email:

Yushen.Zhang+Apply@cit.TUM.de

Betreuer:

Yushen Zhang

Ingenieurpraxis

Optical Circuits Simulation and Optimization

Stichworte:
optical circuits, software simulation
Kurzbeschreibung:
We want to use a simulation tool to evaluate typical optical circuits and optimize their system performance.

Beschreibung

Optical networks-on-chips (ONoCs) emerge as a next-generation solution to keep up with the ever-increasing on-chip communication in multiprocessor system-on-chip. Taking advantage of the wavelength-division multiplexing (WDM) technology and the ultra-low propagation delay of light in silicon, ONoCs promise to offer much higher bandwidth with much lower latency compared to conventional electronic NoCs.

 

To date, several efficient circuits have been proposed. However, their performance still needs to be simulated and evaluated in a practical environment. 

 

This project includes:

  • Using a powerful simulator (See the introduction: https://www.synopsys.com/photonic-solutions/optocompiler/optsim-photonic-ic.html) to test several typical optical circuits, such as λ-router and Light.
  • Comparing the simulation results to their theoretical results.
  • Proposing a method/design to optimize the performance factors, such as power and signal-to-noise ratio.

Voraussetzungen

  • Knowledge and experience in using software simulation tools
  • Basic understanding of optical circuits or the willingness to learn them
  • Solution-oriented thinking

Kontakt

If you are interested in this topic, please send your current transcript along with your CV and a short motivation to one of the supervisors' email:

zhidan.zheng@tum.de

Betreuer:

Zhidan Zheng

Startup Microsystems: Innovate, Create, Compete – COSIMA Challenge

Stichworte:
Microsystem, MEMS, Innovation, Creativity
Kurzbeschreibung:
This is a dynamic and hands-on internship designed to empower students to harness their creativity and technical skills to participate in the COSIMA (Competition of Students in Microsystems Applications) contest. This internship is not just an academic pursuit; it's a journey towards becoming an innovative entrepreneur in the realm of sensor and microsystem applications. At the end of this contest, you will be credited with the credits for FP/IP/IDP.

Beschreibung

Welcome to "Startup Microsystems: Innovate, Create, Compete – COSIMA Challenge," a dynamic and hands-on internship designed to empower students in harnessing their creativity and technical skills to participate in the COSIMA (Competition of Students in Microsystems Applications) contest. This internship is not just an academic pursuit; it's a journey towards becoming innovative entrepreneurs in the realm of sensor and microsystem applications.

 

Overview:

In this practical internship, students will delve into the world of microsystems, exploring their components, functionalities, and potential applications. The focus will be on fostering creativity and teamwork as students work collaboratively to conceive, design, and prototype innovative solutions using sensors and microsystems.

 

Key Features:

Creative Exploration: Unlike traditional courses and internships, this one offers the freedom to choose and define your own technical challenge. Students will be encouraged to think outside the box, identify real-world problems, and propose solutions that leverage microsystems to enhance human-technology interactions.

 

Hands-On Prototyping: The heart of the internship lies in turning ideas into reality. Students will actively engage in the prototyping process, developing functional prototypes of their innovative concepts. Emphasis will be placed on understanding the practical aspects of sensor integration, actuation, and control electronics.

 

COSIMA Contest Preparation: The internship will align with the COSIMA contest requirements, preparing students to present their prototypes on the competition day. Guidance will be provided on creating impactful presentations that showcase the ingenuity and practicality of their solutions.

 

Go International: The winners of COSIMA will qualify to take part in the international iCAN competition. Guidance and preparation for the iCAN will be provided.

 

Entrepreneurial Mindset: Drawing inspiration from successful startups that emerged from COSIMA, the internship will instill an entrepreneurial mindset. Students will learn about the essentials of founding a startup, from business planning to pitching their ideas.

 

Us in the past:

Das war COSIMA 2023 (cosima-mems.de)

iCAN Wettbewerb 2023 (cosima-mems.de)

Sieger 2022 (cosima-mems.de)

Voraussetzungen

Intermediate German and English language proficiency is required.

Kontakt

Betreuer:

Yushen Zhang

Praktikant (m/w/d) Forschung & Entwicklung - Sensorik Kettenüberwachung

Beschreibung

Siehe beigefügten Aushang.

 

Kontakt

Claudia.Hahn@iwis.com

Betreuer:

Helmut Gräb - Claudia Hahn (iwis antriebssysteme GmbH & Co. KG in München)

Online Microfluidics Programming and Simulation Platform

Stichworte:
Microfluidics, Lab-On-Chip, Programming
Kurzbeschreibung:
We want to introduce an interactive but intuitive programming platform for microfluidic researchers that do not require any pre-experience with programming.

Beschreibung

Microfluidic Large Scale Integration (mLSI) refers to the development of microfluidic chips with thousands of integrated micromechanical valves and control components. This technology is used in many areas of biology and chemistry and is a candidate for replacing today's conventional automation paradigm, which consists of Robots for handling liquids.

 

To enable automated control of mLSI, programming sequence for valve control and fluid inputs is essential. Although, not every researcher, especially biologists or chemists, has programming skills. We want to introduce an interactive but intuitive programming platform for microfluidic researchers that do not require any pre-experience with programming to overcome this problem.

 

This platform provides a visual programming language that allows users to define their needs by dragging and dropping the command blocks into a canvas. A flow simulation will show up on the side when users click on the run. 

Voraussetzungen

  • Knowledge and experience in web design and web development
  • Good understanding of HTML5, CSS, JavaScript and PHP (or Java Spring Boot) or the wiliness to learn them
  • Basic knowledge of SQL, jQuery and Vue.js (or other frontend frameworks) or the cunning to know them
  • Solution-oriented thinking

 

Kontakt

If you are interested in this topic, please send your current transcript along with your CV and a short motivation to one of the supervisors' email:

Yushen.Zhang+Apply@cit.TUM.de

Betreuer:

Yushen Zhang

Studentische Hilfskräfte

Praktikant (m/w/d) Forschung & Entwicklung - Sensorik Kettenüberwachung

Beschreibung

Siehe beigefügten Aushang.

 

Kontakt

Claudia.Hahn@iwis.com

Betreuer:

Helmut Gräb - Claudia Hahn (iwis antriebssysteme GmbH & Co. KG in München)