Professor/in Fakultät Wirtschaftsingenieurwesen und Gesundheit
Professor
Telefon: +49 (961) 382-1622
Fax: +49 (961) 382-2622
p.wiebe
@
oth-aw
.
de
Lehrgebiet(e): • Studiengang ME/MZ: Brain-Computer-Interfaces (BCI), Bioel. Signale (& Neurowiss.), Med. Elektronik, Elektrotechnik, Signalverarbeitung, Med. Messtechnik, Regelungstechnik.
• Studiengang TM: Elektrotechnik.
Forschungsgebiet(e):
- Biosignale: Messung, Verarbeitung und Anwendung insbesondere elektrischer Biopotentiale bzw. bioelektrischer Signale (EEG, EMG, EOG, EKG, …).
- Gehirn-Computer-Schnittstellen / Brain-Computer-Interfaces (BCIs).
- Information und Kommunikation bei Mensch-Maschine-Systemen.
- Interdisziplinäre Themen: Ethische Aspekte moderner Informations- und Kommunikationstechnologien.
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Professor/in Fakultät Elektrotechnik, Medien und Informatik
Professor
Telefon: +49 (9621) 482-3653
Fax: +49 (9621) 482-4653
c.bergler
@
oth-aw
.
de
Lehrgebiet(e): Deep Learning
Forschungsgebiet(e):
Deep Learning applied to a broad spectrum of data- and domain-specific research fields, with focus on a wide portfolio of novel and distinct algorithmic deep learning concepts:
- Data:
- Images
- Acoustics
- Machine & Sensor Signals
- Text Data
- Domain:
- Computer Vision
- Acoustic Sound Analysis
- Machine Signal Processing
- Natural Language Processing
- Deep Learning Concept:
- Transfer Learning
- Contrastive Learning
- Distillation Learning
- Federated Learning
- Supervised, Semi-Supervised & Unsupervised Learning
- Self-Supervised Learning
- Generative Learning
- Single-/Zero-/Few-Shot Learning
- Representation Learning
- Multimodal Learning
- Causal Deep Learning
- Reinforcement Learning
Bachelor's and Master's Theses:
As part of my field of research - Deep Learning - there exist several opportunities for bachelor's and master's theses, either addressing differennt personal scientific topics (internal theses), or research questions in collaboration with industrial partners (external theses) .
Additional Personal Information:
Promotion: "summa cum laude" (with highest distinction) in the field of Deep Learning at the Pattern Recognition Lab (PRL), Friedrich-Alexander-University Erlangen-Nürnberg (FAU) - Dissertation title: "Deep Learning Applied to Animal Linguistics"
GitHub: https://github.com/ChristianBergler
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