CV

PhD Computer Science

Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany

MSc Computational Engineering

Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany

• Coursework - Pattern Recognition, Pattern Analysis, Machine Learning Time Series, Numerical Methods
• Projects -
  • Age Estimation with CNN
  • Time Series Forecasting with GNN

Masters in Computational Science

Università della Svizzera italiana, Lugano, Switzerland

• Coursework - Machine Learning, Deep Learning Lab, High Performance Computing, Graph Deep Learning
• Projects -
  • Mathematical Reasoning with Transformers
  • Text Generation with LSTM

Research Assistant

Chair of Machine Learning in Medicine, University of Bayreuth

Doctoral Researcher

Machine Learning and Data Analytics Lab, FAU Erlangen-Nürnberg

• Wound image analysis with localization and tissue segmentation using Computer Vision.
• Chemical environment analysis from pH, O2 and CO2 sensors inside wound bandage to track wound recovery.

Computational Science Werkstudent

Siemens Healthineers

• Contributor to the DigitalTwin of the Heart project to simulate Atrial Fibrillation.
• Computational Modelling of Left Atrium for Universal Atrial Coordinates in 2D.
• Successful generation of landmarks and geodesic paths to describe topology on a 2D map applicable to 70% of patients.

MaRS Scholarship Researcher (Master Thesis)

Institute for Computing, USI, Lugano

• Improved Locational Marginal Price prediction time using Machine Learning and Deep Learning.
• Generated ground truth data with MATPOWER and MOSEK on PGLib-OPF electricity grids.
• Achieved maximum 5% error rate when using popular machine learning models on various n-1 security criterion cases to predict LMP.

Research Assistant

Machine Learning and Data Analytics Lab, FAU Erlangen-Nürnberg

• Research assistant on the Deutsche Museum Project, to build an AI software for tracking visitors in a museum.
• Built Computer Vision models for Age detection using multi ethnic facial datasets to increase efficiency to 97\% on custom multi-ethnic test datasets.
• Carried out data annotation using CVAT that was further used training Computer Vision model for Multi-camera multi-object tracking.

Data Science Werkstudent

Streem.ai, Berlin

• Researched statistical models for anomaly detection in time series data for manufacturing companies
• Creating benchmarking systems to test performance of baseline OneClass Classifiers using synthetically generated datasets designed to test anomaly detection performance.
• Exploring model explainability using SHAP library for deriving feature responsibility.

Aero-Acoustics CFD Engineer

Quest Global, Bangalore

• Predicting Low-Speed Fan noise using Fourier Modal Analysis to improve jet engine design to stay within noise regulations
• Running LES simulations (Linear and Non-Linear Unsteady) to capture Fourier static pressure levels in the LP Compressor domain
• Achieved 97% accuracy compared to experimental data from Derby, UK facilities.

Biomedical Signal Analysis

FAU Erlangen-Nürnberg

Biomedical Time Series Analysis

University of Bayreuth

Seminar - Advances in Deep Learning for Time Series

FAU Erlangen-Nürnberg

Time Series and Machine Learning

University of Bayreuth

Supervision of Master Projects, Seminars and Theses

FAU Erlangen-Nürnberg & University of Bayreuth

Representation Learning for Laparoscopic Imaging - A Study of Architectural Design and Multi-Level Knowledge Transfer

Master Thesis - Aditya Parikh

Are Click Explorations a Valid Alternative to Eye-Tracking?

Master Thesis - Moumita Chakraborty

EDTRS Method for Generating Superpixels for Dermatological Wound Images

Master Project - Alisha Mund

Exploring Active Learning for Wound Tissue Segmentation

Master Project - Apu Das

Evaluating Graph Neural Networks for Node Classification on Superpixel-Based Representations of Wound Images

Master Project - Jule Lang

Superpixel-Based Wound Segmentation with Frozen Vision Foundation Models and Graph Neural Network Heads

Master Project - Ranganath Pujari

Reviewer

Neural Information Processing Systems (NeurIPS)

Stratify or Die - Rethinking Data Splits in Image Segmentation

NeurIPS 2025, San Diego

Introducing CicatrixVision (CiVi) Dataset - First steps into AI assisted Chronic Wound Assessment

MaD Conference 2025 & AI Day, University of Bayreuth 2025

Exploring Correlation Between Tissue Composition and Healing in Chronic Wounds

AIBE Conference 2024

AI4Health Summer School, Paris

Workshops on Causal ML (group of Prof. David Sontag), Computational Pathology (group of Prof. Jakob Nikolas Kather) and Diffusion Models for Medical Imaging (group of Dr. Ninon Burgos)

• Masters Research Scholarship
• ERASMUS Exchange Scholarship