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Pegah Golchin, M.Sc.
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E-Mail: pegah.golchin(at)kom.tu-darmstadt.de
8 Private Questions (in german)
Short Bio
Pegah Golchin received her M.Sc. degree in Telecommunication Network Engineering from Isfahan University of Technology in 2018. Since 2019 she worked as a computer science research assistant at HHU and she joined the multimedia communication lab as a Ph.D. student in 2021. In her research, she mainly focuses on solving SDN cyber security problems leveraging AI methods.
Research Interests
Applying Machine Learning and Deep learning approaches in
- SDN monitoring (traffic classification)
- Network Intrusion Detection Systems (Network security)
- SDN data plane (in P4 switches)
Open Thesis and HiWi opportunity
I am looking for motivated students who would like to work as a HiWi. Please contact me if you have experience in working with Deep Learning and Generative Adversarial Network (GAN) models.
I am looking for motivated students who would like to start with their bachelor's or master's theses. Feel free to contact me if you are interested in applying AI to solve the network security problems.
Apart from that, you can also find a list of open topics here.
Supervised Thesis
| Year | Type | Student | Title | Co-supervisors and notes | Status |
|---|---|---|---|---|---|
| 2022 | Master | Chengbo Zhou | A Collaborative Machine Learning-based Network Intrusion Detection Architecture in Software Defined Networking | Pratyush Agnihotri | In Progress |
| 2022 | Master | Yizi Liu | Intrusion Detection in Programmable Network Hardware Leveraging Decision Tree Model Inference | Fridolin Siegmund | In Progress |
| 2022 | Bachelor | Leonard Anderweit | In-Network DDoS Attack Detection Leveraging Time Series Data in Programmable Data Planes | Ralf Kundel | Completed |
| 2021 | Master | Stefan Stegmueller | Generative Adversarial Network-based Robustness Evaluation of Machine Learning Classification Algorithms for DDoS-Attacks | External thesis (DE-CIX), Ralf Kundel | Completed |
Supervised Labs and Seminars
| Year | Type | Title | Co-supervisors and notes |
|---|---|---|---|
| WiSe 22 | MMCS | In-Network intrusion detection system | - |
| SoSe 22 | MMCS | Robustness Evaluation of ML based NIDS Using Generative Adversarial Network | - |
| SoSe 22 | KOM Lab | Network Traffic Monitoring in SDN | Pratyush Agnihotri |
| WiSe 21 | MMCS | Encrypted Traffic Classification Leveraging Machine Learning and Deep Learning Models | - |
| WiSe 21 | KOM Lab | Telcaria Alviu: Network Traffic Monitoring and Profiling | Pegah Golchin |
Publications
