Official Scientific Output — THEK Research Institute
White papers, peer-reviewed journal articles, Zenodo records, and technical reports
produced by the THEK Research Institute and its affiliated research centers.
Authored by M.Sc. (TUM) Marcelo Moncayo Theurer.
10Total Scientific Outputs
4Zenodo Records (DOI)
6Journal & Repository Papers
25+Years Research Background
Featured Research
Original Frameworks & Systems
Flagship scientific outputs developed at the THEK Research Institute — original frameworks, empirical validations, and AI-powered scientific systems.
WP-002EN
Seismic Energy Release Risk Assessment (SERRA) — A Physical Energy-Based Framework for Seismic Behavior Characterization, Reactivation Stage Identification, and Seismic Risk Mapping
An original energy-based framework for seismic risk assessment. SERRA introduces a physically grounded methodology that characterizes seismic behavior, identifies reactivation stages, and constructs risk maps from released seismic energy data — a foundational THEK contribution to earthquake engineering science.
AI-Driven Automated Scientific News Generation and Dissemination System Using Large Language Models and Telegram Integration
A fully autonomous AI pipeline that integrates large language models with RSS aggregation, automated editorial processing, and multi-channel dissemination via Telegram. The system underpins the THEK Press Engine and constitutes one of the first applied LLM journalism architectures in scientific communication.
ProfeBot: A Low-Cost Generative AI Assistant for Earthquake Engineering Education in Latin America
Development and deployment of ProfeBot, an educational AI assistant built on generative language models, designed to democratize advanced earthquake engineering concepts for students and professionals in resource-constrained academic environments across Latin America.
Empirical Validation of the Seismic Energy Release Method SERRA / MEL
Empirical validation study confirming the predictive and characterization capabilities of the SERRA / MEL seismic energy release framework against historical seismic records. Establishes the scientific rigor of the THEK energy-based approach to earthquake engineering and risk assessment.
All scientific outputs indexed by THEK Research Institute. White papers (WP) carry Zenodo DOI registration. Journal papers (JP) are published in peer-reviewed and indexed repositories.
ID
Publication Title
Lang
Status
DOI
Links
WP-001
AI-Driven Automated Scientific News Generation and Dissemination System Using Large Language Models and Telegram Integration
The THEK publication portfolio spans six interconnected scientific domains developed over more than 25 years of independent research.
01
Seismic Energy Release
Original SERRA / MEL energy-based frameworks for seismic behavior characterization, reactivation stage identification, and seismic risk mapping — the core contribution of THEK to earthquake science.
02
Earthquake Engineering
Seismic-resistant structural design, ground motion characterization, spectral analysis, attenuation laws, and accelerogram recovery for engineering applications.
03
AI & Scientific Systems
AI-driven scientific journalism, LLM integration pipelines, generative AI education systems, and autonomous knowledge dissemination architectures for scientific research.
04
Structural Dynamics
Advanced structural response analysis, carbon fiber reinforcement, reduction factors, response spectra, and seismic performance frameworks for built infrastructure.
05
Scientific Education
AI-assisted engineering education, low-cost pedagogical AI tools, interdisciplinary learning systems, and knowledge democratization for engineering students in developing regions.
06
Computational Methods
Numerical simulation, mathematical modeling, finite element methods, and computational frameworks applied to seismic and Earth-system science.
How to Cite
Citation Guidelines
To cite any THEK Research Institute publication, use the following format. For Zenodo-registered works, always include the DOI for persistent reference.
APA Format
Moncayo Theurer, M. (2025). [Title of publication]. THEK Research Institute.
Zenodo. https://doi.org/10.5281/zenodo.[record_id]
Institutional Attribution
M.Sc. (TUM) Marcelo Moncayo Theurer — Director & Lead Researcher
THEK Research Institute — Advanced Scientific, Engineering & Technological Think Tank
Technical University Munich (TU München) · BRI-IISEE · University of Tokyo
Full Professor with Tenure (Profesor Titular) — Universidad de Guayaquil
Explore the full THEK Ecosystem
Live planetary monitoring, engineering education, AI-powered scientific press, and resilience frameworks — all connected.