Scientific Researcher
Research work across artificial intelligence, educational media, and graph-based learning systems.
HET MEHTA
Het Darshan Mehta
Het Darshan MehtaPhD ResearcherAI Research | Recommender Systems | Knowledge GraphsMagdeburg / Braunschweig, Germany
Published AI Research
Publications and projects across recommender systems, LLMs, NLP, and graph-based personalization.
Human-Centered AI Tutor
Tutored HCAI, HCNLP, and human-centered technology courses at Otto-von-Guericke University.
Selected Work
Research & Publications
Publication
Large language model enhanced embeddings for knowledge aware recommender systems
Discover Artificial Intelligence, Springer Nature, 2026
A two-phase framework using LLMs to construct and enrich knowledge graphs, then inject semantic embeddings into recommender models.
Open LinkPublication
A Comprehensive Strategy to Bias and Mitigation in Human Resource Decision Systems
XAI.it 2024, co-located with AIxIA 2024
Study of bias sources, fairness definitions, mitigation strategies, and trade-offs in automated HR decision systems.
Open LinkPublication
When Multimodal Features Do Not Improve Fairness in Learning Systems
MAAI4AIED, Festival of Learning 2026
Research on fairness behavior in learning systems when multimodal features are introduced.
Link can be added in portfolio-data.ts.
Publication
A Comprehensive Evaluation Framework for Multi-Level Bias Analysis in Graph-Based Personalization Systems
ACM UMAP 2026 Workshop
Framework for analyzing multi-level bias in graph-based personalization and recommender systems.
Link can be added in portfolio-data.ts.
Career
Experience
Scientific Researcher
Leibniz Institute for Educational Media | Georg Eckert Institute
Feb 2026 - Present
Braunschweig, Germany
- Measuring and evaluating algorithmic fairness in graph neural networks.
- Developing fairness-aware models for bias detection in educational textbooks.
PhD Student
Otto-von-Guericke University
Feb 2026 - Present
Magdeburg, Germany
- Researching multi-group and multi-class fairness for knowledge-aware recommender systems.
Tutor: HCAI, HCNLP, HCAT
Otto-von-Guericke University
Oct 2024 - Jan 2026
Magdeburg, Germany
- Supported teaching across Human-Centered AI, Natural Language Processing, and Human-Centered Approaches and Technology.
Research Student
Leibniz Institute for Neurobiology
May 2024 - Jan 2025
Magdeburg, Germany
- Measured and processed real-time brain signals at the Brain-Machine Interface AG.
- Supported neurofeedback software development for a mobile EEG device.
Graduate Intern
Siemens Energy and Performance
Dec 2022 - Aug 2023
Mumbai, India
- Designed digital twins for optimization of a pasteurization system at AMUL.
- Contributed to a factory digitization project at Hindustan Unilever, Pune.
Applied Systems
Projects
EUI LLM-KARS
Enhanced user and item embeddings using LLM-generated knowledge graphs for knowledge-aware recommender systems.
Algorithmic Fairness in GNNs
Evaluated GIN, GAT, and GCN fairness on adult graph data and implemented mitigation techniques.
GNNs | Fairness Metrics | Bias Mitigation
OttoBot
Transformer-based university information chatbot using web crawling, RAG, LangChain, and open-source LLM tooling.
Deep Reinforcement Learning Traffic System
Implemented Advantage Actor Critic models to optimize traffic control in simulation environments.
A2C | A3C | Simulation
Real-time Sign Language Translator
Used webcam input and CNNs to recognize hand gestures and convert them into speech-enabled text.
CNNs | Computer Vision | Accessibility
AnyLogic Traffic Simulation
Collaborated with the City of Magdeburg on agent-based modeling for intersection safety.
AnyLogic | Agent-Based Modeling
Technical Depth
Skills
Languages
PythonC/C++MySQLHTMLCSS
AI & Deep Learning
PyTorchTensorFlowGNNsA2CA3CGraph Contrastive Learning
NLP & Recommenders
RAGSentence-BERTTransformersFairness MetricsBias Mitigation
Knowledge & Reasoning
Knowledge GraphsPrompt EngineeringCoTKGoTTree-of-Thoughts
Tools
DockerLangChainNeo4jOllamaCoppeliaSimOpenAI API
Languages Spoken
English C1German A2Italian A1Hindi C2Gujarati C2
Academic Path
Education
Feb 2026 - Present
PhD Student, Multi-group/Multi-class Fairness for Knowledge-Aware Recommender Systems
Otto-von-Guericke University
Magdeburg, Germany
Oct 2023 - Jan 2026
M.Sc. Digital Engineering
Otto-von-Guericke University
Magdeburg, Germany
May 2025 - Oct 2025
Erasmus+, Computer Science
University of Bari Aldo Moro
Bari, Italy
2019 - 2023
B.E. Electronics and Communication
Dharmsinh Desai University
Nadiad, India
Contact
Let's Connect
Focused on AI fairness, human-centered AI, educational technology, and trustworthy recommender systems.