Faezeh Nejati Hatamian

• Development and evaluation of machine learning models for multi-class image classification of different views of fashion articles • Presentation to a wide audience and code delivery to the company

• Exploiting Machine- & deep learning methods for automatic sheet metal formation capacity analysis and definition • Project management, Interdisciplinary collaborations, writing publications and holding presentations • Project Management, Supervision of 3 master’s students in their research internship project

• Automatic lecture video transcription under human supervision for hearing-impaired students and listeners • Lecture video and audio post-processing & edition

• Implementation of ETL pipelines for signal (time-series) data preprocessing • Conducting Exploratory Data Analysis (EDA) to gain insights into signal characteristics and inform feature engineering • Utilization of data augmentation techniques to enhance model generalization and performance (GitHub) • Cross-functional teamwork, publication at the prestigious Acoustics, Speech, and Signal Processing Conference, holding presentations • Proficiency in agile project management methodologies such as Kanban

• Investigating deep learning and computer vision solutions for non-contact heart rate monitoring in challenging automobile driving conditions (presence of motion and difficult lighting situations)

Debugging the viSNE computational tool, which maps high-dimensional cytometry data onto 2D plane while conserving high-dimensional structure.

As a private teacher, I used to teach English.

• Planning, implementation, and monitoring of IT projects using MS Project • Practical application of project management techniques for resource allocation, scheduling, and risk assessment

Lectures and exercises on Data Analysis and Visualization using Python Libraries, Looker Studio & PowerBI, SQL and BigQuery

• Lectures and exercises on Data Analysis and Visualization with Python, APIs, Web Scraping, Statistics, Machine Learning with Scikit-Learn and PyCaret, CNNs and Transfer Learning with TensorFlow/ Keras, Git, SQL and MLOps • Group challenges (Telecom customer churn prediction, Hurricane Damage Detection)

Supervisor: Prof. Dr.-Ing. habil. Andreas Maier Research Topic: „Improved Determination of the Failure Behavior of Sheet Metals Using Deep Learning“

Deep Learning | Pattern Recognition | Artificial Intelligence | Diagnostic and Interventional Medical Image Processing | Signal Processing | Computer Vision | Computer Graphics | Human-Computer Interaction | Management of Change Processes

Fundamental and Advanced Programming | Data Structure | Computer Networks | Software Engineering | Principles of Database Design | Information Technology Projects Management and Control | IT strategic Management