If you are interessted in a bachelor/master thesis, a study/research project or work as a student assistant at our Chair, please contact us.
Ongoing Student Activities
Name | Type of Work | Title |
---|---|---|
Eraldo Lleshi | Master Thesis | Robust Machine Learning |
Meghana Ramesh | HiWi | Analog Design |
Gaheun Jung | Research Project | Quantum Computing |
Completed Student Activities
Name | Type of Work | Title |
---|---|---|
Tolga Sarica | Bachelor Thesis | Control Interfaces |
Ann Ezzat | Bachelor Thesis | Hardware Design |
Hana Abdelhakim | Bachelor Thesis | Embedded Machine Learning |
Somaya Mansour | Bachelor Thesis | Hardware Acceleration for Neural Networks |
Vardhini Hebballi | Master Thesis | System Design for Machine Learning |
Sampath Garuda | Study Project | Machine Learning for Device Modeling |
Isai Roman Ballesteros | Master Thesis | Reliable and Ultra-low Power Deep Neural Networks |
Mahdi Benkhelifa | Master Thesis | Advanced Modeling for Ferroelectric Transistors |
Austin Vas | Master Thesis | Machine Learning for Processor Efficiency Prediction |
Giang Nguyen | Master Thesis | Hardware Acceleration for Neural Networks |
Amr Abdelrazek | Master Thesis | Approximate Computing |
Tarek Ashraf | Master Thesis | Hardware Design |
Avik Bhatnagar | Internship (6 months) |
HW Accelerators for AI Applications |
Karthik Pandaram | Study Project | Machine Learning for Modeling |
Albi Mema | Master Thesis | Reliability and Energy Trade-offs in FDSOI and Emerging FeFET Technologies |
Isai Roman Ballesteros | Student Assistant | Approximate Computing for DNNs |
Tarek Ashraf | Research Project | Hardware Acceleration for Neural Networks |
Mahdi Benkhelifa | Research Project | Advanced Modeling for Ferroelectric Transistors |
Gloria Sepanta | Master Thesis | FPGA Implementation for Brain-Inspired Computing |
Karthik Pandaram | Research Project | Machine Learning for Semiconductor Test |
Niranjan Ravi | Research Project | Analyzing Error-resilient Encodings for Brain-inspired Hyperdimensional Computing |
Marvin Dostal | Master Thesis | Hardware/Software Co-design using FPGAs for Deep Neural Networks |
Daniel Bin Schmid | Bachelor Thesis | Usability-driven design of learning algorithms on a wearable consumer-grade brain-computer interface |
Divya Tyagi | Research Project | Neural Networks for Embedded Systems |
Mohammed Fathy | Bachelor Thesis | Robust Hardware Design for Machine Learning |
Omar Hisham | Bachelor Thesis | Hardware Acceleration for Machine Learning |
Wegdan Ali Mohammadin | Bachelor Thesis | Hardware Acceleration for Emerging Algorithms |
Swathy Muthukrishnan | Research Project | Trojan Detection in Circuits |
Munazza Said | Master Thesis | Radiation Effects in Advanced Technologies |
Albi Mema | Study Project | Hardware Design for Compute-in-Memory |
Austin Vas | Study Project | Machine Learning for Processor Efficiency Prediction |
Simon Thomann | Master Thesis | Hardware Implementation for Brain-Inspired Computing |
Sampath Garuda | Research Project | Plagiarism Detection using Hyperdimensional Computing |
Giang Nguyen | Research Project | FeFET-based Processing-in-memory for Brain-Inspired Hyperdimensional Computing |
Austin Vas | Research Project | Temperature Impact of Brain-Inspired Computing in Embedded Systems |
Karthik Pandaram | Student Assistant | Machine Learning for Defect Classification |
Meghana Iyer | Research Project | Efficient Implementation of Brain-Inspired Hyperdimensional Computing for Small-scale Systems |
Marvin Dostal | Research Project | Efficient Neural Network Analysis |
Swetha Murthy | Student Assistant | Brain-Computer Interface |
Ram Sabarish | Research Project | Brain-Inspired Computing for Character Recognition using MNIST Digit Dataset |
Austin Vas | Student Assistant | Brain-Inspired Computing |
Swetha Murthy | Research Project | Brain-Inspired Computing for Hand Gesture Detection using Surface Electromyography |
Jana Palaniswamy | Student Assistant | Circuit Reliability |
Hussam Amrouch
Prof. Dr.-Ing.Semiconductor Test and Reliability,
please note new contact data on profile page!