Shamim Miroliaei
Research Assistant
MSc.
Office: WE5/05.052
Office hours: by appointment
Email: shamim.miroliaei(at)uni-bamberg.de
- Curriculum Vitae
- Research
- Projects
- Publications
- Teaching & Supervision
- Workshops & Academic Activities
- Awards
Work exprience
Research Assistant
Cognitive Systems Group at Otto-Friedrich-Universit?t Bamberg| Jul 2025 – Present
Led applied ML projects in anomaly detection and AI-driven optimization
Developed CNN & PatchCore models for industrial audio (accuracy ~90%)
Applied genetic algorithms for intelligent lighting systems (DIAL)
Supervised student projects and contributed to XR/AI research
Software Developer
WEBSALE AG | May 2024 – Dec 2024
Developed C++ backend services and REST APIs
Built Angular-based admin interface
Improved system performance and user experience
Junior Software Engineer (Working Student)
GfK – An NIQ Company | Dec 2021 – Nov 2023
Developed and optimized software systems
Contributed to test automation and CI/CD processes
Junior Product Assistant (Working Student)
GfK – An NIQ Company | Jul 2021 – Dec 2021
Supported agile development, testing, and data analysis
Embedded Software Engineer (Working Student)
University of Bamberg | May 2021 – Apr 2022
Developed Arduino-based systems and data analysis pipelines
Software Engineer
Partak System Vira | Jan 2019 – Oct 2020
Developed Django-based applications and Python tools
Education
M.Sc. International Software Systems Science
University of Bamberg | Oct 2020 – Jan 2024
Grade: 1.0
Thesis:
Exploring Potential Biases in Sequential Data Classification for Hand Gesture Recognition using Layer-wise Relevance Propagation and Cluster Analysis
B.Sc. Computer Software Engineering
Isfahan University of Technology | 2014 – 2019
Main Research Interests
- Anomaly Detection
- Model Design & Generation
- Explainable AI (XAI)
- Deep Learning for Industrial Applications
DIAL Project – AI-based Design & Dialogue Systems (ongoing)
Role: Machine Learning Team Lead / Consultant
Techniques: Machine Learning integration, AI-driven design, lighting planning
Anomaly Detection for Industrial Audio
Role: Machine Learning Engineer
Techniques: CNN pipelines, PatchCore
XR Learning Support (CNN Visualization)
Role: ML Consultant
Techniques: CNN explanation, educational video generation (Manim, Python)
Submitted:
Multi-stage PatchCore for Noisy Industrial Audio (under review)
Leben in Deutschland: An Intelligent Tutoring Game for the German Citizenship Test (under review)
Planned:
Audio Expert Evaluation for Example-based and Feature Relevance Explanations for Deep Learning Acoustic Defect Classification
Teaching & Supervision
Supervision of student project: Multi-stage PatchCore for Noisy Industrial Audio
(ongoing, planned Master’s thesis and publication)
Workshops & Academic Activities
- Organizer – Doctoral Consortium (DC Days)
- (05.03.2026) Workshop Agentic Workflows in n8n, 3. Oberfr?nkische Fachtagung KI, together with Erik Voigt, Felix Hasse and Dr. Klaus Stein
- Co-organizer – KI-Tagung 2026 (AI in Production – 3rd Round) available on AI in Production together with Erik Voigt
Awards
PUSh Award – University of Bamberg
Award for Outstanding Master’s Thesis (Academic Equal Opportunity Officers)